Abstract

Objectives

The aim was to review the worldwide incidence and prevalence of SLE and variation with age, sex, ethnicity and time.

Methods

A systematic search of MEDLINE and EMBASE search engines was carried out using Medical Subject Headings and keyword search terms for Systemic Lupus Erythematosus combined with incidence, prevalence and epidemiology in August 2013 and updated in September 2016. Author, journal, year of publication, country, region, case-finding method, study period, number of incident or prevalent cases, incidence (per 100 000 person-years) or prevalence (per 100 000 persons) and age, sex or ethnic group-specific incidence or prevalence were collected.

Results

The highest estimates of incidence and prevalence of SLE were in North America [23.2/100 000 person-years (95% CI: 23.4, 24.0) and 241/100 000 people (95% CI: 130, 352), respectively]. The lowest incidences of SLE were reported in Africa and Ukraine (0.3/100 000 person-years), and the lowest prevalence was in Northern Australia (0 cases in a sample of 847 people). Women were more frequently affected than men for every age and ethnic group. Incidence peaked in middle adulthood and occurred later for men. People of Black ethnicity had the highest incidence and prevalence of SLE, whereas those with White ethnicity had the lowest incidence and prevalence. There appeared to be an increasing trend of SLE prevalence with time.

Conclusion

There are worldwide differences in the incidence and prevalence of SLE that vary with sex, age, ethnicity and time. Further study of genetic and environmental risk factors may explain the reasons for these differences. More epidemiological studies in Africa are warranted.

Rheumatology key messages

  • There is wide geographical variation in the reported incidence and prevalence of SLE.

  • Males with SLE have an older peak age of incidence and prevalence compared with females.

  • There appears to be a trend of increasing prevalence of SLE with time.

Introduction

Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease with a varying clinical phenotype. It is known to affect women more frequently than men, with a ratio of approximately six women to every one man [1]. The aetiology of SLE is not fully understood, but both genetic predisposition and environmental triggers are believed to be involved [2]. Studying the epidemiology of SLE allows us to identify and explore changes in potential risk factors for the disease and allows planning of health services in response to overall disease burden [3]. A review of the incidence and prevalence of SLE was last published in 2006 by Danchenko et al. [4] and found marked disparities in incidence and prevalence worldwide. This was attributed to both true geographical variation and variation in study design. It could be a result of differences in the age and ethnic mix between populations, the definition of SLE used or, as found in some studies in the same population, a change in the incidence and prevalence of SLE with time [1, 5–7]. The aim of this study was to review the current literature published on the incidence and prevalence of SLE throughout the world.

Methods

A systematic literature review was undertaken. The search strategy used both Medical Subject Headings (MeSH) and keyword search terms for Systemic Lupus Erythematosus combined with MeSH and keyword terms for incidence and epidemiology, followed by prevalence and epidemiology (see supplementary Table S1, available at Rheumatology Online, for search strategy). The databases searched were Ovid MEDLINE from 1946 to August 2013 and EMBASE from 1974 to August 2013. All articles were downloaded into Endnote software and were selected on the basis of title and then abstract for full review. Hand-searching of citations also occurred. Articles were included if they were written in English or French language and were regarding humans. Exclusion criteria were review articles, conference proceedings, abstracts or editorials, articles in press, articles involving drug-induced lupus or neonatal lupus, and those solely regarding paediatric patients or a subtype of SLE, such as LN or discoid lupus. Searches were updated in September 2016. Table 1 shows the number of articles retrieved from each database in August 2013 and the additional articles added in September 2016.

Table 1

Summary of literature search

Search termDatabaseNumber of articles retrievedNumber of articles after removing duplicatesNumber of articles selected for review on the basis of title and abstractNumber of articles selected for inclusion after reading the full text article, including additional articles found by hand searchingNumber of additional articles selected on updated search in September 2016
IncidenceMedline5421617764611
Embase1175
PrevalenceMedline9292744927614
Embase2290
Search termDatabaseNumber of articles retrievedNumber of articles after removing duplicatesNumber of articles selected for review on the basis of title and abstractNumber of articles selected for inclusion after reading the full text article, including additional articles found by hand searchingNumber of additional articles selected on updated search in September 2016
IncidenceMedline5421617764611
Embase1175
PrevalenceMedline9292744927614
Embase2290
Table 1

Summary of literature search

Search termDatabaseNumber of articles retrievedNumber of articles after removing duplicatesNumber of articles selected for review on the basis of title and abstractNumber of articles selected for inclusion after reading the full text article, including additional articles found by hand searchingNumber of additional articles selected on updated search in September 2016
IncidenceMedline5421617764611
Embase1175
PrevalenceMedline9292744927614
Embase2290
Search termDatabaseNumber of articles retrievedNumber of articles after removing duplicatesNumber of articles selected for review on the basis of title and abstractNumber of articles selected for inclusion after reading the full text article, including additional articles found by hand searchingNumber of additional articles selected on updated search in September 2016
IncidenceMedline5421617764611
Embase1175
PrevalenceMedline9292744927614
Embase2290

Information on author, journal, year of publication, country, region, case-finding method, study period, number of incident or prevalent cases, incidence (per 100 000 person-years) or prevalence (per 100 000 persons) was collected by F.R. In addition, any age, sex or ethnic group-specific incidence or prevalence rates reported were collected. Age-adjusted or standardized results were presented whenever available. PRISMA guidelines were used.

Results

Incidence

Geography

Table 2 and Fig. 1A summarize the reported worldwide incidence estimates of SLE. Figure 1A uses the most recent estimates from Table 2. There was worldwide variation, with the highest incidence reported in North America (23.2/100 000 person-years, 95% CI: 22.4, 24.0) [8] and the lowest incidences reported in Africa (0.3/100 000 person-years) [9] and Ukraine (0.3/100 000 person-years, 95% CI: 0.0, 1.5) [10]. In general, European countries had a lower incidence of SLE, whereas Asia, Australasia and the Americas had a higher incidence. The most frequent methods for case-finding were local secondary care hospital-based outpatient lists or discharge registries, or National Health Insurance databases.

Table 2

Worldwide incidence of SLE

ContinentCountryReferencesRegionCase-finding methodNumber of incident casesIncidence per 100 000 person-years (95% CI) [study year]
EuropeDenmarkVoss et al. [5]FunenHospital and community records1271.0 (0.3, 2.9)a [1980]
3.6 (2.0, 6.1)a [1994]
Laustrup et al. [11]FunenHospital and community records351.0 (0.3, 2.7)
Hermansen et al. [12]NationalNational patient registry16442.35 (2.24, 2.49)
FranceArnaud et al. [13]NationalNational health insurance database19313.32
FinlandElfving et al. [14]Northern SavoHospital and community records73.6 (3.0, 4.2)a
GreeceAlamanos et al. [15]North-westHospital records1781.9 (1.5, 2.3)a
IcelandGudmundsson et al. [16]NationalHospital registers763.3
ItalyGovoni et al. [17]FerraraHospital records2000: 72.0
2001: 41.2
2002: 92.6
Tsioni et al. [18]ValtrompiaHospital and community records92.0 (0.9, 3.8)
NorwayNossent [19]NorthHospital records832.9 (2.4, 3.3)a
Eilertsen et al. [20]NorthHospital records583.0 (2.0, 4.0)
Lerang et al. [21]OsloHospital records1163.0 (2.4, 3.5)
SpainLópez et al. [22]AsturiasHospital records1162.2 (1.8, 2.5)
Gómez et al. [23]AsturiasHospital records1.9 (1.1, 2.7)
Alonso et al. [24]LugoHospital records1503.6 (3.0, 4.2)a
SwedenLeonhardt [7]MalmöHospital records161.0a
Eyrich et al. [25]HalmstadHospital records411.8 [1957, 1964]
3.0 [1964, 1971]
Jonsson et al. [26]Lund and OrupHospital and community records394.0 (1.6, 6.4)a
Ståhl-Hallengren et al. [6]Lund and OrupHospital and community records414.8
Ingvarsson et al. [27]Lund and OrupHospital and community records552.8 (1.4, 4.2)
UKHopkinson et al. [28]NottinghamHospital records234.0 (2.3, 5.6)a
Johnson et al. [29]BirminghamHospital records333.8 (2.5, 5.1)
Nightingale et al. [30]Whole UKCPRD3903.0 (2.7, 3.3)
Somers et al. [31]Whole UKCPRD16384.7 (4.5, 4.9)a
Rees et al. [1]Whole UKCPRD27404.9 (4.7, 5.1)
North AmericaCanadaBernatsky et al. [32]QuebecPhysician billing database2193.0 (2.6, 3.4)
Hospitalization database2032.8 (2.6, 3.0)
USASiegel et al. [33]New York and AlabamaHospital recordsNew York: 981.9
Alabama: 631.0
Fessel [34]San FranciscoHospital records747.6
Hochberg [35]BaltimoreHospital records3024.6a
Michet et al. [36]MinnesotaHospital records and death certificates251.8 (1.1, 2.5)a
McCarty et al. [37]PennsylvaniaCommunity and hospital records1912.4 (2.1, 2.8)a
Uramoto et al. [38]MinnesotaHospital records485.6 (3.9, 7.2)a
Naleway et al. [39]WisconsinMedical records445.1 (3.6, 6.6)a
Feldman et al. [8]Whole USMedicaid database349023.2 (22.4, 24.0)
Furst et al. [40]Whole USMedical claims database15577.2 (6.8, 7.7)a
Lim et al. [41]GeorgiaGeorgia Lupus registry2675.6 (5.0, 6.3)a
Somers et al. [42]MichiganMedical records3995.5 (5.0, 6.1)a
Jarukitsopa et al. [43]MinnesotaRochester epidemiology project database452.9 (2.0, 3.7)
Central AmericaCaribbeanNossent [44]CuraçaoMedical records684.6 (0.4, 8.8)
Deligny et al. [45]MartiniqueMedical records1804.7 (2.5, 6.9)
Flower et al. [46]BarbadosNational hospital-based SLE registry1836.3 (5.4, 7.3)a
South AmericaArgentinaScolnik [47]Buenos AiresPrivate medical care database686.3 (4.9, 7.7)
BrazilPereira Vilar et al. [48]Natal cityHospital records438.7 (6.3, 11.7)
Nakashima et al. [49]CascavelMedical records144.8
AfricaZimbabweTaylor et al. [9]Bulawayo and HarareHospital records220.3
AsiaChinaMok et al. [50]Hong KongUniversity hospital database3.1
KazakhstanNasonov et al. [10]SemeyHospital records41.3 (0.4, 3.4)a
RussiaNasonov et al. [10]Kursk and YaroslavlHospital records121.2 (0.6, 2.1)a
UkraineNasonov et al. [10]VinnitsaHospital records10.3 (0.0, 1.5)a
South KoreaShim et al. [51]NationalNational Health Insurance database13982.8 (2.7–2.9)a
TaiwanChiu et al. [52]NationalNational Health Insurance database12 7898.1
Kang et al. [53]NationalNational Health Insurance database7583.3
Yu et al. [54]NationalNational Health Insurance database6718.4 (7.7, 9.0)
Yeh et al. [55]NationalCatastrophic illness database66754.9
See et al. [56]NationalNational Health Insurance database3587.2 (6.5, 8.0)
AustralasiaAustraliaAnstey et al. [57]Northern TerritoryHospital records1311
ContinentCountryReferencesRegionCase-finding methodNumber of incident casesIncidence per 100 000 person-years (95% CI) [study year]
EuropeDenmarkVoss et al. [5]FunenHospital and community records1271.0 (0.3, 2.9)a [1980]
3.6 (2.0, 6.1)a [1994]
Laustrup et al. [11]FunenHospital and community records351.0 (0.3, 2.7)
Hermansen et al. [12]NationalNational patient registry16442.35 (2.24, 2.49)
FranceArnaud et al. [13]NationalNational health insurance database19313.32
FinlandElfving et al. [14]Northern SavoHospital and community records73.6 (3.0, 4.2)a
GreeceAlamanos et al. [15]North-westHospital records1781.9 (1.5, 2.3)a
IcelandGudmundsson et al. [16]NationalHospital registers763.3
ItalyGovoni et al. [17]FerraraHospital records2000: 72.0
2001: 41.2
2002: 92.6
Tsioni et al. [18]ValtrompiaHospital and community records92.0 (0.9, 3.8)
NorwayNossent [19]NorthHospital records832.9 (2.4, 3.3)a
Eilertsen et al. [20]NorthHospital records583.0 (2.0, 4.0)
Lerang et al. [21]OsloHospital records1163.0 (2.4, 3.5)
SpainLópez et al. [22]AsturiasHospital records1162.2 (1.8, 2.5)
Gómez et al. [23]AsturiasHospital records1.9 (1.1, 2.7)
Alonso et al. [24]LugoHospital records1503.6 (3.0, 4.2)a
SwedenLeonhardt [7]MalmöHospital records161.0a
Eyrich et al. [25]HalmstadHospital records411.8 [1957, 1964]
3.0 [1964, 1971]
Jonsson et al. [26]Lund and OrupHospital and community records394.0 (1.6, 6.4)a
Ståhl-Hallengren et al. [6]Lund and OrupHospital and community records414.8
Ingvarsson et al. [27]Lund and OrupHospital and community records552.8 (1.4, 4.2)
UKHopkinson et al. [28]NottinghamHospital records234.0 (2.3, 5.6)a
Johnson et al. [29]BirminghamHospital records333.8 (2.5, 5.1)
Nightingale et al. [30]Whole UKCPRD3903.0 (2.7, 3.3)
Somers et al. [31]Whole UKCPRD16384.7 (4.5, 4.9)a
Rees et al. [1]Whole UKCPRD27404.9 (4.7, 5.1)
North AmericaCanadaBernatsky et al. [32]QuebecPhysician billing database2193.0 (2.6, 3.4)
Hospitalization database2032.8 (2.6, 3.0)
USASiegel et al. [33]New York and AlabamaHospital recordsNew York: 981.9
Alabama: 631.0
Fessel [34]San FranciscoHospital records747.6
Hochberg [35]BaltimoreHospital records3024.6a
Michet et al. [36]MinnesotaHospital records and death certificates251.8 (1.1, 2.5)a
McCarty et al. [37]PennsylvaniaCommunity and hospital records1912.4 (2.1, 2.8)a
Uramoto et al. [38]MinnesotaHospital records485.6 (3.9, 7.2)a
Naleway et al. [39]WisconsinMedical records445.1 (3.6, 6.6)a
Feldman et al. [8]Whole USMedicaid database349023.2 (22.4, 24.0)
Furst et al. [40]Whole USMedical claims database15577.2 (6.8, 7.7)a
Lim et al. [41]GeorgiaGeorgia Lupus registry2675.6 (5.0, 6.3)a
Somers et al. [42]MichiganMedical records3995.5 (5.0, 6.1)a
Jarukitsopa et al. [43]MinnesotaRochester epidemiology project database452.9 (2.0, 3.7)
Central AmericaCaribbeanNossent [44]CuraçaoMedical records684.6 (0.4, 8.8)
Deligny et al. [45]MartiniqueMedical records1804.7 (2.5, 6.9)
Flower et al. [46]BarbadosNational hospital-based SLE registry1836.3 (5.4, 7.3)a
South AmericaArgentinaScolnik [47]Buenos AiresPrivate medical care database686.3 (4.9, 7.7)
BrazilPereira Vilar et al. [48]Natal cityHospital records438.7 (6.3, 11.7)
Nakashima et al. [49]CascavelMedical records144.8
AfricaZimbabweTaylor et al. [9]Bulawayo and HarareHospital records220.3
AsiaChinaMok et al. [50]Hong KongUniversity hospital database3.1
KazakhstanNasonov et al. [10]SemeyHospital records41.3 (0.4, 3.4)a
RussiaNasonov et al. [10]Kursk and YaroslavlHospital records121.2 (0.6, 2.1)a
UkraineNasonov et al. [10]VinnitsaHospital records10.3 (0.0, 1.5)a
South KoreaShim et al. [51]NationalNational Health Insurance database13982.8 (2.7–2.9)a
TaiwanChiu et al. [52]NationalNational Health Insurance database12 7898.1
Kang et al. [53]NationalNational Health Insurance database7583.3
Yu et al. [54]NationalNational Health Insurance database6718.4 (7.7, 9.0)
Yeh et al. [55]NationalCatastrophic illness database66754.9
See et al. [56]NationalNational Health Insurance database3587.2 (6.5, 8.0)
AustralasiaAustraliaAnstey et al. [57]Northern TerritoryHospital records1311
a

Age standardized. CPRD: UK Clinical Practice Research Datalink.

Table 2

Worldwide incidence of SLE

ContinentCountryReferencesRegionCase-finding methodNumber of incident casesIncidence per 100 000 person-years (95% CI) [study year]
EuropeDenmarkVoss et al. [5]FunenHospital and community records1271.0 (0.3, 2.9)a [1980]
3.6 (2.0, 6.1)a [1994]
Laustrup et al. [11]FunenHospital and community records351.0 (0.3, 2.7)
Hermansen et al. [12]NationalNational patient registry16442.35 (2.24, 2.49)
FranceArnaud et al. [13]NationalNational health insurance database19313.32
FinlandElfving et al. [14]Northern SavoHospital and community records73.6 (3.0, 4.2)a
GreeceAlamanos et al. [15]North-westHospital records1781.9 (1.5, 2.3)a
IcelandGudmundsson et al. [16]NationalHospital registers763.3
ItalyGovoni et al. [17]FerraraHospital records2000: 72.0
2001: 41.2
2002: 92.6
Tsioni et al. [18]ValtrompiaHospital and community records92.0 (0.9, 3.8)
NorwayNossent [19]NorthHospital records832.9 (2.4, 3.3)a
Eilertsen et al. [20]NorthHospital records583.0 (2.0, 4.0)
Lerang et al. [21]OsloHospital records1163.0 (2.4, 3.5)
SpainLópez et al. [22]AsturiasHospital records1162.2 (1.8, 2.5)
Gómez et al. [23]AsturiasHospital records1.9 (1.1, 2.7)
Alonso et al. [24]LugoHospital records1503.6 (3.0, 4.2)a
SwedenLeonhardt [7]MalmöHospital records161.0a
Eyrich et al. [25]HalmstadHospital records411.8 [1957, 1964]
3.0 [1964, 1971]
Jonsson et al. [26]Lund and OrupHospital and community records394.0 (1.6, 6.4)a
Ståhl-Hallengren et al. [6]Lund and OrupHospital and community records414.8
Ingvarsson et al. [27]Lund and OrupHospital and community records552.8 (1.4, 4.2)
UKHopkinson et al. [28]NottinghamHospital records234.0 (2.3, 5.6)a
Johnson et al. [29]BirminghamHospital records333.8 (2.5, 5.1)
Nightingale et al. [30]Whole UKCPRD3903.0 (2.7, 3.3)
Somers et al. [31]Whole UKCPRD16384.7 (4.5, 4.9)a
Rees et al. [1]Whole UKCPRD27404.9 (4.7, 5.1)
North AmericaCanadaBernatsky et al. [32]QuebecPhysician billing database2193.0 (2.6, 3.4)
Hospitalization database2032.8 (2.6, 3.0)
USASiegel et al. [33]New York and AlabamaHospital recordsNew York: 981.9
Alabama: 631.0
Fessel [34]San FranciscoHospital records747.6
Hochberg [35]BaltimoreHospital records3024.6a
Michet et al. [36]MinnesotaHospital records and death certificates251.8 (1.1, 2.5)a
McCarty et al. [37]PennsylvaniaCommunity and hospital records1912.4 (2.1, 2.8)a
Uramoto et al. [38]MinnesotaHospital records485.6 (3.9, 7.2)a
Naleway et al. [39]WisconsinMedical records445.1 (3.6, 6.6)a
Feldman et al. [8]Whole USMedicaid database349023.2 (22.4, 24.0)
Furst et al. [40]Whole USMedical claims database15577.2 (6.8, 7.7)a
Lim et al. [41]GeorgiaGeorgia Lupus registry2675.6 (5.0, 6.3)a
Somers et al. [42]MichiganMedical records3995.5 (5.0, 6.1)a
Jarukitsopa et al. [43]MinnesotaRochester epidemiology project database452.9 (2.0, 3.7)
Central AmericaCaribbeanNossent [44]CuraçaoMedical records684.6 (0.4, 8.8)
Deligny et al. [45]MartiniqueMedical records1804.7 (2.5, 6.9)
Flower et al. [46]BarbadosNational hospital-based SLE registry1836.3 (5.4, 7.3)a
South AmericaArgentinaScolnik [47]Buenos AiresPrivate medical care database686.3 (4.9, 7.7)
BrazilPereira Vilar et al. [48]Natal cityHospital records438.7 (6.3, 11.7)
Nakashima et al. [49]CascavelMedical records144.8
AfricaZimbabweTaylor et al. [9]Bulawayo and HarareHospital records220.3
AsiaChinaMok et al. [50]Hong KongUniversity hospital database3.1
KazakhstanNasonov et al. [10]SemeyHospital records41.3 (0.4, 3.4)a
RussiaNasonov et al. [10]Kursk and YaroslavlHospital records121.2 (0.6, 2.1)a
UkraineNasonov et al. [10]VinnitsaHospital records10.3 (0.0, 1.5)a
South KoreaShim et al. [51]NationalNational Health Insurance database13982.8 (2.7–2.9)a
TaiwanChiu et al. [52]NationalNational Health Insurance database12 7898.1
Kang et al. [53]NationalNational Health Insurance database7583.3
Yu et al. [54]NationalNational Health Insurance database6718.4 (7.7, 9.0)
Yeh et al. [55]NationalCatastrophic illness database66754.9
See et al. [56]NationalNational Health Insurance database3587.2 (6.5, 8.0)
AustralasiaAustraliaAnstey et al. [57]Northern TerritoryHospital records1311
ContinentCountryReferencesRegionCase-finding methodNumber of incident casesIncidence per 100 000 person-years (95% CI) [study year]
EuropeDenmarkVoss et al. [5]FunenHospital and community records1271.0 (0.3, 2.9)a [1980]
3.6 (2.0, 6.1)a [1994]
Laustrup et al. [11]FunenHospital and community records351.0 (0.3, 2.7)
Hermansen et al. [12]NationalNational patient registry16442.35 (2.24, 2.49)
FranceArnaud et al. [13]NationalNational health insurance database19313.32
FinlandElfving et al. [14]Northern SavoHospital and community records73.6 (3.0, 4.2)a
GreeceAlamanos et al. [15]North-westHospital records1781.9 (1.5, 2.3)a
IcelandGudmundsson et al. [16]NationalHospital registers763.3
ItalyGovoni et al. [17]FerraraHospital records2000: 72.0
2001: 41.2
2002: 92.6
Tsioni et al. [18]ValtrompiaHospital and community records92.0 (0.9, 3.8)
NorwayNossent [19]NorthHospital records832.9 (2.4, 3.3)a
Eilertsen et al. [20]NorthHospital records583.0 (2.0, 4.0)
Lerang et al. [21]OsloHospital records1163.0 (2.4, 3.5)
SpainLópez et al. [22]AsturiasHospital records1162.2 (1.8, 2.5)
Gómez et al. [23]AsturiasHospital records1.9 (1.1, 2.7)
Alonso et al. [24]LugoHospital records1503.6 (3.0, 4.2)a
SwedenLeonhardt [7]MalmöHospital records161.0a
Eyrich et al. [25]HalmstadHospital records411.8 [1957, 1964]
3.0 [1964, 1971]
Jonsson et al. [26]Lund and OrupHospital and community records394.0 (1.6, 6.4)a
Ståhl-Hallengren et al. [6]Lund and OrupHospital and community records414.8
Ingvarsson et al. [27]Lund and OrupHospital and community records552.8 (1.4, 4.2)
UKHopkinson et al. [28]NottinghamHospital records234.0 (2.3, 5.6)a
Johnson et al. [29]BirminghamHospital records333.8 (2.5, 5.1)
Nightingale et al. [30]Whole UKCPRD3903.0 (2.7, 3.3)
Somers et al. [31]Whole UKCPRD16384.7 (4.5, 4.9)a
Rees et al. [1]Whole UKCPRD27404.9 (4.7, 5.1)
North AmericaCanadaBernatsky et al. [32]QuebecPhysician billing database2193.0 (2.6, 3.4)
Hospitalization database2032.8 (2.6, 3.0)
USASiegel et al. [33]New York and AlabamaHospital recordsNew York: 981.9
Alabama: 631.0
Fessel [34]San FranciscoHospital records747.6
Hochberg [35]BaltimoreHospital records3024.6a
Michet et al. [36]MinnesotaHospital records and death certificates251.8 (1.1, 2.5)a
McCarty et al. [37]PennsylvaniaCommunity and hospital records1912.4 (2.1, 2.8)a
Uramoto et al. [38]MinnesotaHospital records485.6 (3.9, 7.2)a
Naleway et al. [39]WisconsinMedical records445.1 (3.6, 6.6)a
Feldman et al. [8]Whole USMedicaid database349023.2 (22.4, 24.0)
Furst et al. [40]Whole USMedical claims database15577.2 (6.8, 7.7)a
Lim et al. [41]GeorgiaGeorgia Lupus registry2675.6 (5.0, 6.3)a
Somers et al. [42]MichiganMedical records3995.5 (5.0, 6.1)a
Jarukitsopa et al. [43]MinnesotaRochester epidemiology project database452.9 (2.0, 3.7)
Central AmericaCaribbeanNossent [44]CuraçaoMedical records684.6 (0.4, 8.8)
Deligny et al. [45]MartiniqueMedical records1804.7 (2.5, 6.9)
Flower et al. [46]BarbadosNational hospital-based SLE registry1836.3 (5.4, 7.3)a
South AmericaArgentinaScolnik [47]Buenos AiresPrivate medical care database686.3 (4.9, 7.7)
BrazilPereira Vilar et al. [48]Natal cityHospital records438.7 (6.3, 11.7)
Nakashima et al. [49]CascavelMedical records144.8
AfricaZimbabweTaylor et al. [9]Bulawayo and HarareHospital records220.3
AsiaChinaMok et al. [50]Hong KongUniversity hospital database3.1
KazakhstanNasonov et al. [10]SemeyHospital records41.3 (0.4, 3.4)a
RussiaNasonov et al. [10]Kursk and YaroslavlHospital records121.2 (0.6, 2.1)a
UkraineNasonov et al. [10]VinnitsaHospital records10.3 (0.0, 1.5)a
South KoreaShim et al. [51]NationalNational Health Insurance database13982.8 (2.7–2.9)a
TaiwanChiu et al. [52]NationalNational Health Insurance database12 7898.1
Kang et al. [53]NationalNational Health Insurance database7583.3
Yu et al. [54]NationalNational Health Insurance database6718.4 (7.7, 9.0)
Yeh et al. [55]NationalCatastrophic illness database66754.9
See et al. [56]NationalNational Health Insurance database3587.2 (6.5, 8.0)
AustralasiaAustraliaAnstey et al. [57]Northern TerritoryHospital records1311
a

Age standardized. CPRD: UK Clinical Practice Research Datalink.

Fig. 1

The global incidence (A) and prevalence (B) of SLE (most recent estimates used)

Age and sex

In all studies reviewed, females had a higher incidence of SLE compared with males. The sex ratio ranged from 2:1 [36] to 15:1 [46]. As an example, Somers et al. [31] estimated the UK incidence to be 7.89/100 000 person-years (95% CI: 7.46, 8.31) for females compared with 1.53/100 000 person-years (95% CI: 1.34, 1.71) for males. This higher incidence in females remained true for every age group, although the ratios were smaller at both extremes of age.

In the majority of studies, there was a peak age of incidence before declining. In females, the peak age ranged from the third to seventh decades of life. For males, the peak incidence was usually later, in the fifth to seventh decades. Three selected studies taken from three different geographical regions demonstrate this in Fig. 2A.

Fig. 2

The incidence (A) and prevalence (B) of SLE stratified by age and sex in the UK, USA and Taiwan

Ethnicity

In studies that reported differences between ethnic groups [1, 8, 21, 29, 33, 35, 37, 41, 42, 58, 59], incidence rates were highest in Black populations and lowest in Caucasians. Asian and Hispanic ethnic groups were intermediate. For example, in the UK, Hopkinson et al. [59] published race-specific incidence figures for Nottingham, with Afro-Caribbeans highest at 31.9/100 000 person-years, Asians 4.1/100 000 person-years and Whites 3.4/100 000 person-years. In North America, Native American Indians also had higher incidence rates than the White population. This was demonstrated in the study by Feldman et al. [8], where the incidence in native American Indians was 30.0/100 000 person-years (95% CI: 22.5, 39.9), which was similar to that of Black or African Americans [31.2/100 000 person-years (95% CI: 29.6, 32.9)] and significantly higher than for Whites [18.0/100 000 person-years (95% CI: 17.0, 19.0)] and Asians [16.7/100 000 person-years (95% CI: 13.9, 20.0)]. In the same study, the incidence in Hispanics was 22.2/100 000 person-years (95% CI: 20.4, 24.2). A study specifically focusing on native American Indians found that three tribes had a particularly high incidence of SLE, specifically the Crow, Arapahoe and Sioux tribes [60].

Temporal trend

There were a number of studies that examined the same population at risk over time, allowing us to examine the temporal trend (Fig. 3A). In the UK, Somers et al. [31] showed a small but non-significant increase in the incidence in females over the 10-year period 1990–99, but not with males. However, Rees et al. [1] found a statistically significant decline in incidence from 1999 to 2012 of 1.8% per year. In the County of Funen in Denmark, Voss et al. [5] looked at the time periods 1980–84, 1985–89 and 1990–94. The respective incidence rates were 1.0 (95% CI: 0.6, 1.6), 1.1 (95% CI: 0.7, 1.7) and 2.5 (95% CI: 1.8, 3.3) per 100 000 person-years. Although not linear, there was a significant increase from the first to the last 5-year period. Although this could be a true increase, from 1 January 1993 an additional data source was available, thus increasing the number of cases identified. Alamanos et al. [15], in North-West Greece, showed an increasing trend from 1.41/100 000 person-years (95% CI: 0.99, 1.83) in 1982–86 to 2.19/100 000 person-years (95% CI: 1.78, 2.60) in 1997–2001, but this was not statistically significant. Finally, results from the Rochester Epidemiology project in Minnesota were published by Michet et al. [36] for the period 1950–79, when the incidence was 1.8/100 000 person-years (95% CI: 1.1, 2.5), followed by Uramoto et al. [38], who published data for 1980–92, when the incidence rate was 5.6/100 000 person-years (95% CI: 3.9, 7.2), and finally, Jarukitsopa et al. [43], who examined 1993–2005 and found the incidence rate had declined to 2.9/100 000 person-years (95% CI: 2.0, 3.7).

Fig. 3

Temporal trend for the incidence (A) and prevalence (B) of SLE

Prevalence

Geography

The prevalence of SLE by country is summarized in Table 3 and Fig. 1B. Figure 1B uses the most recent estimates from Table 3. The lowest prevalence was reported in a community study of 847 people in Yarrabah, North Queensland, Australia [61], where no cases were found. The highest prevalence was in a national survey in the USA [62], which reported a prevalence of 241/100 000 people (95% CI: 130, 352). The most frequent methods for case-finding were local secondary care hospital-based outpatient or discharge registries, National Health Insurance databases or community surveys, such as the World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases (WHO-ILAR COPCORD).

Table 3

Worldwide prevalence of SLE

ContinentCountryReferencesStudy periodRegionCase-finding methodPrevalent casesPrevalence, per 100 000 (95% CI) [year of study]
EuropeDenmarkVoss et al. [5]1 January 1995FunenHospital and community records8422.2a
Laustrup et al. [11]1 January 2003FunenHospital and community records10928.3 (23.3, 34.2)
Eaton et al. [63]31 October 2006NationalNational hospital patient registry48
Hermansen et al. [12]31 Decmeber 2011NationalNational hospital patient registry188745.2 (43.3, 47.4)
FinlandHelve [64]December 1978NationalNational hospital discharge database142728
FranceArnaud et al. [13]2010NationalNational Health Insurance database27 36940.8a
GermanyBrinks et al. [65]2002NationalNational Health Insurance database84536.7 (34.3, 39.3)
GreeceAlamanos et al. [15]31 December 2001North-WestHospital records19338.1 (36.3, 39.9)a
Anagnostopoulos et al. [66]2008CentralPostal survey2110 (110, 370)
IcelandGudmundsson et al. [16]1975–84NationalHospital registers8635.9a
ItalyBenucci et al. [67]June 2002FlorenceCommunity survey2371 (49, 92)a
Govoni et al. [17]2002FerraraHospital records20157.9
Sardu et al. [68]July 2009Southern SardiniaCommunity records81 (50, 124)
Tsioni et al. [18]31 December 2012ValtrompiaHospital and community records4439.2 (28.5, 52.6)
LithuaniaDadoniene et al. [69]2004VilniusHospital records and community survey7616.2 (12.7, 20.3)
NorwayNossent [19]1996NorthHospital records8949.7 (44.3, 55)a
Eilertsen et al. [20]2007NorthHospital records11464.1
Lerang et al. [21]1 January 2008OsloHospital records23852.8 (45.2, 58.4)
SpainLópez et al. [22]31 December 2002AsturiasHospital records36734.1 (30.6, 37.6)
Gómez et al. [23]December 2003AsturiasHospital records31.7 (28.3, 35.0)
Alonso et al. [24]31 December 2006LugoHospital records15017.5 (12.6, 24.1)a
SwedenLeonhardt [7]1955MalmöHospital records2.9
19584.5
19616.0
Nived et al. [70]31 December 1982Lund and OrupHospital and community records6139 (30, 48)
Ståhl-Hallengren et al. [6]31 December 1986Lund and OrupHospital and community records12142
16268
31 December 1991
Simard et al. [71]1 January 2010NationalNational patient register7929(46, 85)
Ingvarsson et al. [27]31 December 2006Lund and OrupHospital and community records17465
TurkeyÇakır et al. [72]HavsaCommunity survey1057 (46, 70)a
UKHochberg [73]1981–82Whole UKCommunity medical record survey206.5
Samanta et al. [74]1986–89LeicesterHospital records5026.1
Hopkinson et al. [28]30 April 1990NottinghamHospital records14724.6 (20.6, 28.7)a
Johnson et al. [29]1992BirminghamHospital records24227.7 (24.2, 31.2)
Gourley et al. [75]1 August 1993Northern IrelandHospital records40825.4 (22.1, 28.7)a
Nightingale et al. [76]1992–98Whole UKCPRD153825.0 (23.4, 26.7) [1992]
40.7 (37.6, 43.8) [1998]
Rees et al. [1]1999–2012Whole UKCPRD187565.0 (62.1, 67.9) [1999]a
441397.0 (94.2, 99.9) [2012]a
North AmericaCanadaPeschken et al. [77]1996ManitobaMedical records25722.1 (13.2, 32.4)
Bernatsky et al. [32]2003QuebecPhysician billing and hospitalization databases382544.7 (37.4, 54.7)a
USASiegel et al. [58]1959New YorkHospital records5
Fessel [34]1973San FranciscoHospital records6450.8
Serdula et al. [78]1975Oahu, HawaiiHospital records8115.3a
Michet et al. [36]1 January 1980MinnesotaHospital records2040.0 (23.5, 57.5)
Uramoto et al. [38]1 January 1993MinnesotaHospital records122 (97, 217)a
Maskarinec et al. [79]1989Hawaii45441.8
Post et al. [80]1996CaliforniaPostal survey2068.2
Balluz et al. [81]1997ArizonaHospital and community records20103 (56, 149)
Ward [62]1988–94NationalUS National health survey40241 (130, 352)
Naleway et al. [39]2001WisconsinMedical records6478.5 (59.0, 98.0)a
Chakravarty et al. [82]2000California and PennsylvaniaHospitalization databasesCalifornia: 107.6 (106.1, 109.2)a
Pennsylvania: 149.5 (146.9, 152.2)a
Feldman et al. [8]2000–04NationalMedicaid database34339143.7 (142.2, 145.3)
Furst et al. [40]2003–08NationalMedical claims database1539681.1 (78.5, 83.6) [2003]
102.9 (100.4, 105.5) [2008]
Lim et al. [41]2002GeorgiaGeorgia Lupus registry115673.0 (68.9, 77.4)a
Somers et al. [42]2002–04MichiganMedical records213972.8 (70.8, 74.8)a
Jarukitsopa et al. [43]1 January 2006Rochester, MNRochester epidemiology project database7253.5 (41.1, 65.9)
Central AmericaCaribbeanNossent [44]1 January 1990CuraçaoMedical records6947.6 (34.1, 51.1)
Deligny et al. [45]1999MartiniqueMedical records24564.2 (56.2, 72.2)
Molina et al. [83]2003Puerto RicoPrivate health insurance database877159
Reyes-Llerena et al. [84]Havana, CubaWHO-ILAR COPCORD study260 (10, 200)
Flower et al. [46]31 October 2009BarbadosNational hospital-based SLE registry22684.1 (73.5, 95.8)
MexicoPeláez-Ballestas et al. [85]Five regions in MexicoWHO-ILAR COPCORD study60 (30, 100)a
South AmericaArgentinaScolnik et al. [47]1 January 2009Buenos AiresPrivate medical care database7558.6 (46.1, 73.5)
BrazilRodrigues Senna et al. [86]Montes Claros CityWHO-ILAR COPCORD study398 (20, 280)
VenezuelaGranados et al. [87]2011MonagosWHO-ILAR COPCORD study370 (10, 200)
AsiaChinaWigley et al. [88]North (near Beijing)WHO-ILAR COPCORD studyNorth: 310
South: 120
South (near Shantou)
Li et al. [89]BeijingCommunity survey330 (0, 60)
IndiaMalaviya et al. [90]DelhiCommunity survey33.2 (0, 6.86)
IranDavatchi et al. [91]September 2005Tehran cityWHO-ILAR COPCORD study340
Davatchi et al. [92]September 2006Five villages in NW IranWHO-ILAR COPCORD study160 (6, 670)
KazakhstanNasonov et al. [10]31 December 2010SemeyHospital records5217.3 (12.9, 22.6)a
MalaysiaWang et al. [93]1974–90Kuala LumpurHospital records53943
PakistanFarooqi et al. [94]NorthWHO-ILAR COPCORD study150
RussiaNasonov et al. [10]31 December 2010Kursk and YaroslavlHospital records797.7 (6.1, 9.7)a
South KoreaJu et al. [95]2004–06NationalNational Health Insurance database9000–1100018.8, 21.7
Shim et al. [51]2006–10NationalNational Health Insurance database1008020.6 (20.2, 21.0) [2006]
1331626.5 (26.0, 27.0) [2010]
TaiwanChou et al. [96]Cu-TienCommunity survey133
Chiu et al. [52]2000–07NationalNational Health Insurance database1546342.2 [2000]
67.4 [2007]
Kang et al. [53]31 December 2005NationalNational Health Insurance database1575369.3
Yu et al. [54]2000NationalNational Health Insurance database35637.0 (10.0, 41.0)
Yeh et al. [55]2003NationalCatastrophic illness database13348897.5
2008
See et al. [56]2005NationalNational Health Insurance database43543.5 (39.4, 47.6)
UkraineNasonov et al. [10]31 December 2010VinnitsaHospital records4512.2 (8.9, 16.4)a
AustralasiaAustraliaAnstey et al. [57]1January 1991Northern Territory.Hospital records2252
Grennan et al. [97]1993Queensland SydneyHospital recordsQueensland: 2089
Sydney: 313
Bossingham [98]1 August 1996 to 31 August 1998Far North QueenslandHospital records10845.3
Minaur et al. [61]January 2002Yarrabah, North QueenslandWHO-ILAR COPCORD study00
New ZealandMeddings et al. [99]DunedinHospital records1614.7
Hart et al. [100]1980AucklandHospital records13617.6a
ContinentCountryReferencesStudy periodRegionCase-finding methodPrevalent casesPrevalence, per 100 000 (95% CI) [year of study]
EuropeDenmarkVoss et al. [5]1 January 1995FunenHospital and community records8422.2a
Laustrup et al. [11]1 January 2003FunenHospital and community records10928.3 (23.3, 34.2)
Eaton et al. [63]31 October 2006NationalNational hospital patient registry48
Hermansen et al. [12]31 Decmeber 2011NationalNational hospital patient registry188745.2 (43.3, 47.4)
FinlandHelve [64]December 1978NationalNational hospital discharge database142728
FranceArnaud et al. [13]2010NationalNational Health Insurance database27 36940.8a
GermanyBrinks et al. [65]2002NationalNational Health Insurance database84536.7 (34.3, 39.3)
GreeceAlamanos et al. [15]31 December 2001North-WestHospital records19338.1 (36.3, 39.9)a
Anagnostopoulos et al. [66]2008CentralPostal survey2110 (110, 370)
IcelandGudmundsson et al. [16]1975–84NationalHospital registers8635.9a
ItalyBenucci et al. [67]June 2002FlorenceCommunity survey2371 (49, 92)a
Govoni et al. [17]2002FerraraHospital records20157.9
Sardu et al. [68]July 2009Southern SardiniaCommunity records81 (50, 124)
Tsioni et al. [18]31 December 2012ValtrompiaHospital and community records4439.2 (28.5, 52.6)
LithuaniaDadoniene et al. [69]2004VilniusHospital records and community survey7616.2 (12.7, 20.3)
NorwayNossent [19]1996NorthHospital records8949.7 (44.3, 55)a
Eilertsen et al. [20]2007NorthHospital records11464.1
Lerang et al. [21]1 January 2008OsloHospital records23852.8 (45.2, 58.4)
SpainLópez et al. [22]31 December 2002AsturiasHospital records36734.1 (30.6, 37.6)
Gómez et al. [23]December 2003AsturiasHospital records31.7 (28.3, 35.0)
Alonso et al. [24]31 December 2006LugoHospital records15017.5 (12.6, 24.1)a
SwedenLeonhardt [7]1955MalmöHospital records2.9
19584.5
19616.0
Nived et al. [70]31 December 1982Lund and OrupHospital and community records6139 (30, 48)
Ståhl-Hallengren et al. [6]31 December 1986Lund and OrupHospital and community records12142
16268
31 December 1991
Simard et al. [71]1 January 2010NationalNational patient register7929(46, 85)
Ingvarsson et al. [27]31 December 2006Lund and OrupHospital and community records17465
TurkeyÇakır et al. [72]HavsaCommunity survey1057 (46, 70)a
UKHochberg [73]1981–82Whole UKCommunity medical record survey206.5
Samanta et al. [74]1986–89LeicesterHospital records5026.1
Hopkinson et al. [28]30 April 1990NottinghamHospital records14724.6 (20.6, 28.7)a
Johnson et al. [29]1992BirminghamHospital records24227.7 (24.2, 31.2)
Gourley et al. [75]1 August 1993Northern IrelandHospital records40825.4 (22.1, 28.7)a
Nightingale et al. [76]1992–98Whole UKCPRD153825.0 (23.4, 26.7) [1992]
40.7 (37.6, 43.8) [1998]
Rees et al. [1]1999–2012Whole UKCPRD187565.0 (62.1, 67.9) [1999]a
441397.0 (94.2, 99.9) [2012]a
North AmericaCanadaPeschken et al. [77]1996ManitobaMedical records25722.1 (13.2, 32.4)
Bernatsky et al. [32]2003QuebecPhysician billing and hospitalization databases382544.7 (37.4, 54.7)a
USASiegel et al. [58]1959New YorkHospital records5
Fessel [34]1973San FranciscoHospital records6450.8
Serdula et al. [78]1975Oahu, HawaiiHospital records8115.3a
Michet et al. [36]1 January 1980MinnesotaHospital records2040.0 (23.5, 57.5)
Uramoto et al. [38]1 January 1993MinnesotaHospital records122 (97, 217)a
Maskarinec et al. [79]1989Hawaii45441.8
Post et al. [80]1996CaliforniaPostal survey2068.2
Balluz et al. [81]1997ArizonaHospital and community records20103 (56, 149)
Ward [62]1988–94NationalUS National health survey40241 (130, 352)
Naleway et al. [39]2001WisconsinMedical records6478.5 (59.0, 98.0)a
Chakravarty et al. [82]2000California and PennsylvaniaHospitalization databasesCalifornia: 107.6 (106.1, 109.2)a
Pennsylvania: 149.5 (146.9, 152.2)a
Feldman et al. [8]2000–04NationalMedicaid database34339143.7 (142.2, 145.3)
Furst et al. [40]2003–08NationalMedical claims database1539681.1 (78.5, 83.6) [2003]
102.9 (100.4, 105.5) [2008]
Lim et al. [41]2002GeorgiaGeorgia Lupus registry115673.0 (68.9, 77.4)a
Somers et al. [42]2002–04MichiganMedical records213972.8 (70.8, 74.8)a
Jarukitsopa et al. [43]1 January 2006Rochester, MNRochester epidemiology project database7253.5 (41.1, 65.9)
Central AmericaCaribbeanNossent [44]1 January 1990CuraçaoMedical records6947.6 (34.1, 51.1)
Deligny et al. [45]1999MartiniqueMedical records24564.2 (56.2, 72.2)
Molina et al. [83]2003Puerto RicoPrivate health insurance database877159
Reyes-Llerena et al. [84]Havana, CubaWHO-ILAR COPCORD study260 (10, 200)
Flower et al. [46]31 October 2009BarbadosNational hospital-based SLE registry22684.1 (73.5, 95.8)
MexicoPeláez-Ballestas et al. [85]Five regions in MexicoWHO-ILAR COPCORD study60 (30, 100)a
South AmericaArgentinaScolnik et al. [47]1 January 2009Buenos AiresPrivate medical care database7558.6 (46.1, 73.5)
BrazilRodrigues Senna et al. [86]Montes Claros CityWHO-ILAR COPCORD study398 (20, 280)
VenezuelaGranados et al. [87]2011MonagosWHO-ILAR COPCORD study370 (10, 200)
AsiaChinaWigley et al. [88]North (near Beijing)WHO-ILAR COPCORD studyNorth: 310
South: 120
South (near Shantou)
Li et al. [89]BeijingCommunity survey330 (0, 60)
IndiaMalaviya et al. [90]DelhiCommunity survey33.2 (0, 6.86)
IranDavatchi et al. [91]September 2005Tehran cityWHO-ILAR COPCORD study340
Davatchi et al. [92]September 2006Five villages in NW IranWHO-ILAR COPCORD study160 (6, 670)
KazakhstanNasonov et al. [10]31 December 2010SemeyHospital records5217.3 (12.9, 22.6)a
MalaysiaWang et al. [93]1974–90Kuala LumpurHospital records53943
PakistanFarooqi et al. [94]NorthWHO-ILAR COPCORD study150
RussiaNasonov et al. [10]31 December 2010Kursk and YaroslavlHospital records797.7 (6.1, 9.7)a
South KoreaJu et al. [95]2004–06NationalNational Health Insurance database9000–1100018.8, 21.7
Shim et al. [51]2006–10NationalNational Health Insurance database1008020.6 (20.2, 21.0) [2006]
1331626.5 (26.0, 27.0) [2010]
TaiwanChou et al. [96]Cu-TienCommunity survey133
Chiu et al. [52]2000–07NationalNational Health Insurance database1546342.2 [2000]
67.4 [2007]
Kang et al. [53]31 December 2005NationalNational Health Insurance database1575369.3
Yu et al. [54]2000NationalNational Health Insurance database35637.0 (10.0, 41.0)
Yeh et al. [55]2003NationalCatastrophic illness database13348897.5
2008
See et al. [56]2005NationalNational Health Insurance database43543.5 (39.4, 47.6)
UkraineNasonov et al. [10]31 December 2010VinnitsaHospital records4512.2 (8.9, 16.4)a
AustralasiaAustraliaAnstey et al. [57]1January 1991Northern Territory.Hospital records2252
Grennan et al. [97]1993Queensland SydneyHospital recordsQueensland: 2089
Sydney: 313
Bossingham [98]1 August 1996 to 31 August 1998Far North QueenslandHospital records10845.3
Minaur et al. [61]January 2002Yarrabah, North QueenslandWHO-ILAR COPCORD study00
New ZealandMeddings et al. [99]DunedinHospital records1614.7
Hart et al. [100]1980AucklandHospital records13617.6a
a

Age standardized. CPRD: clinical practice research datalink; WHO-ILAR COPCORD: World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases.

Table 3

Worldwide prevalence of SLE

ContinentCountryReferencesStudy periodRegionCase-finding methodPrevalent casesPrevalence, per 100 000 (95% CI) [year of study]
EuropeDenmarkVoss et al. [5]1 January 1995FunenHospital and community records8422.2a
Laustrup et al. [11]1 January 2003FunenHospital and community records10928.3 (23.3, 34.2)
Eaton et al. [63]31 October 2006NationalNational hospital patient registry48
Hermansen et al. [12]31 Decmeber 2011NationalNational hospital patient registry188745.2 (43.3, 47.4)
FinlandHelve [64]December 1978NationalNational hospital discharge database142728
FranceArnaud et al. [13]2010NationalNational Health Insurance database27 36940.8a
GermanyBrinks et al. [65]2002NationalNational Health Insurance database84536.7 (34.3, 39.3)
GreeceAlamanos et al. [15]31 December 2001North-WestHospital records19338.1 (36.3, 39.9)a
Anagnostopoulos et al. [66]2008CentralPostal survey2110 (110, 370)
IcelandGudmundsson et al. [16]1975–84NationalHospital registers8635.9a
ItalyBenucci et al. [67]June 2002FlorenceCommunity survey2371 (49, 92)a
Govoni et al. [17]2002FerraraHospital records20157.9
Sardu et al. [68]July 2009Southern SardiniaCommunity records81 (50, 124)
Tsioni et al. [18]31 December 2012ValtrompiaHospital and community records4439.2 (28.5, 52.6)
LithuaniaDadoniene et al. [69]2004VilniusHospital records and community survey7616.2 (12.7, 20.3)
NorwayNossent [19]1996NorthHospital records8949.7 (44.3, 55)a
Eilertsen et al. [20]2007NorthHospital records11464.1
Lerang et al. [21]1 January 2008OsloHospital records23852.8 (45.2, 58.4)
SpainLópez et al. [22]31 December 2002AsturiasHospital records36734.1 (30.6, 37.6)
Gómez et al. [23]December 2003AsturiasHospital records31.7 (28.3, 35.0)
Alonso et al. [24]31 December 2006LugoHospital records15017.5 (12.6, 24.1)a
SwedenLeonhardt [7]1955MalmöHospital records2.9
19584.5
19616.0
Nived et al. [70]31 December 1982Lund and OrupHospital and community records6139 (30, 48)
Ståhl-Hallengren et al. [6]31 December 1986Lund and OrupHospital and community records12142
16268
31 December 1991
Simard et al. [71]1 January 2010NationalNational patient register7929(46, 85)
Ingvarsson et al. [27]31 December 2006Lund and OrupHospital and community records17465
TurkeyÇakır et al. [72]HavsaCommunity survey1057 (46, 70)a
UKHochberg [73]1981–82Whole UKCommunity medical record survey206.5
Samanta et al. [74]1986–89LeicesterHospital records5026.1
Hopkinson et al. [28]30 April 1990NottinghamHospital records14724.6 (20.6, 28.7)a
Johnson et al. [29]1992BirminghamHospital records24227.7 (24.2, 31.2)
Gourley et al. [75]1 August 1993Northern IrelandHospital records40825.4 (22.1, 28.7)a
Nightingale et al. [76]1992–98Whole UKCPRD153825.0 (23.4, 26.7) [1992]
40.7 (37.6, 43.8) [1998]
Rees et al. [1]1999–2012Whole UKCPRD187565.0 (62.1, 67.9) [1999]a
441397.0 (94.2, 99.9) [2012]a
North AmericaCanadaPeschken et al. [77]1996ManitobaMedical records25722.1 (13.2, 32.4)
Bernatsky et al. [32]2003QuebecPhysician billing and hospitalization databases382544.7 (37.4, 54.7)a
USASiegel et al. [58]1959New YorkHospital records5
Fessel [34]1973San FranciscoHospital records6450.8
Serdula et al. [78]1975Oahu, HawaiiHospital records8115.3a
Michet et al. [36]1 January 1980MinnesotaHospital records2040.0 (23.5, 57.5)
Uramoto et al. [38]1 January 1993MinnesotaHospital records122 (97, 217)a
Maskarinec et al. [79]1989Hawaii45441.8
Post et al. [80]1996CaliforniaPostal survey2068.2
Balluz et al. [81]1997ArizonaHospital and community records20103 (56, 149)
Ward [62]1988–94NationalUS National health survey40241 (130, 352)
Naleway et al. [39]2001WisconsinMedical records6478.5 (59.0, 98.0)a
Chakravarty et al. [82]2000California and PennsylvaniaHospitalization databasesCalifornia: 107.6 (106.1, 109.2)a
Pennsylvania: 149.5 (146.9, 152.2)a
Feldman et al. [8]2000–04NationalMedicaid database34339143.7 (142.2, 145.3)
Furst et al. [40]2003–08NationalMedical claims database1539681.1 (78.5, 83.6) [2003]
102.9 (100.4, 105.5) [2008]
Lim et al. [41]2002GeorgiaGeorgia Lupus registry115673.0 (68.9, 77.4)a
Somers et al. [42]2002–04MichiganMedical records213972.8 (70.8, 74.8)a
Jarukitsopa et al. [43]1 January 2006Rochester, MNRochester epidemiology project database7253.5 (41.1, 65.9)
Central AmericaCaribbeanNossent [44]1 January 1990CuraçaoMedical records6947.6 (34.1, 51.1)
Deligny et al. [45]1999MartiniqueMedical records24564.2 (56.2, 72.2)
Molina et al. [83]2003Puerto RicoPrivate health insurance database877159
Reyes-Llerena et al. [84]Havana, CubaWHO-ILAR COPCORD study260 (10, 200)
Flower et al. [46]31 October 2009BarbadosNational hospital-based SLE registry22684.1 (73.5, 95.8)
MexicoPeláez-Ballestas et al. [85]Five regions in MexicoWHO-ILAR COPCORD study60 (30, 100)a
South AmericaArgentinaScolnik et al. [47]1 January 2009Buenos AiresPrivate medical care database7558.6 (46.1, 73.5)
BrazilRodrigues Senna et al. [86]Montes Claros CityWHO-ILAR COPCORD study398 (20, 280)
VenezuelaGranados et al. [87]2011MonagosWHO-ILAR COPCORD study370 (10, 200)
AsiaChinaWigley et al. [88]North (near Beijing)WHO-ILAR COPCORD studyNorth: 310
South: 120
South (near Shantou)
Li et al. [89]BeijingCommunity survey330 (0, 60)
IndiaMalaviya et al. [90]DelhiCommunity survey33.2 (0, 6.86)
IranDavatchi et al. [91]September 2005Tehran cityWHO-ILAR COPCORD study340
Davatchi et al. [92]September 2006Five villages in NW IranWHO-ILAR COPCORD study160 (6, 670)
KazakhstanNasonov et al. [10]31 December 2010SemeyHospital records5217.3 (12.9, 22.6)a
MalaysiaWang et al. [93]1974–90Kuala LumpurHospital records53943
PakistanFarooqi et al. [94]NorthWHO-ILAR COPCORD study150
RussiaNasonov et al. [10]31 December 2010Kursk and YaroslavlHospital records797.7 (6.1, 9.7)a
South KoreaJu et al. [95]2004–06NationalNational Health Insurance database9000–1100018.8, 21.7
Shim et al. [51]2006–10NationalNational Health Insurance database1008020.6 (20.2, 21.0) [2006]
1331626.5 (26.0, 27.0) [2010]
TaiwanChou et al. [96]Cu-TienCommunity survey133
Chiu et al. [52]2000–07NationalNational Health Insurance database1546342.2 [2000]
67.4 [2007]
Kang et al. [53]31 December 2005NationalNational Health Insurance database1575369.3
Yu et al. [54]2000NationalNational Health Insurance database35637.0 (10.0, 41.0)
Yeh et al. [55]2003NationalCatastrophic illness database13348897.5
2008
See et al. [56]2005NationalNational Health Insurance database43543.5 (39.4, 47.6)
UkraineNasonov et al. [10]31 December 2010VinnitsaHospital records4512.2 (8.9, 16.4)a
AustralasiaAustraliaAnstey et al. [57]1January 1991Northern Territory.Hospital records2252
Grennan et al. [97]1993Queensland SydneyHospital recordsQueensland: 2089
Sydney: 313
Bossingham [98]1 August 1996 to 31 August 1998Far North QueenslandHospital records10845.3
Minaur et al. [61]January 2002Yarrabah, North QueenslandWHO-ILAR COPCORD study00
New ZealandMeddings et al. [99]DunedinHospital records1614.7
Hart et al. [100]1980AucklandHospital records13617.6a
ContinentCountryReferencesStudy periodRegionCase-finding methodPrevalent casesPrevalence, per 100 000 (95% CI) [year of study]
EuropeDenmarkVoss et al. [5]1 January 1995FunenHospital and community records8422.2a
Laustrup et al. [11]1 January 2003FunenHospital and community records10928.3 (23.3, 34.2)
Eaton et al. [63]31 October 2006NationalNational hospital patient registry48
Hermansen et al. [12]31 Decmeber 2011NationalNational hospital patient registry188745.2 (43.3, 47.4)
FinlandHelve [64]December 1978NationalNational hospital discharge database142728
FranceArnaud et al. [13]2010NationalNational Health Insurance database27 36940.8a
GermanyBrinks et al. [65]2002NationalNational Health Insurance database84536.7 (34.3, 39.3)
GreeceAlamanos et al. [15]31 December 2001North-WestHospital records19338.1 (36.3, 39.9)a
Anagnostopoulos et al. [66]2008CentralPostal survey2110 (110, 370)
IcelandGudmundsson et al. [16]1975–84NationalHospital registers8635.9a
ItalyBenucci et al. [67]June 2002FlorenceCommunity survey2371 (49, 92)a
Govoni et al. [17]2002FerraraHospital records20157.9
Sardu et al. [68]July 2009Southern SardiniaCommunity records81 (50, 124)
Tsioni et al. [18]31 December 2012ValtrompiaHospital and community records4439.2 (28.5, 52.6)
LithuaniaDadoniene et al. [69]2004VilniusHospital records and community survey7616.2 (12.7, 20.3)
NorwayNossent [19]1996NorthHospital records8949.7 (44.3, 55)a
Eilertsen et al. [20]2007NorthHospital records11464.1
Lerang et al. [21]1 January 2008OsloHospital records23852.8 (45.2, 58.4)
SpainLópez et al. [22]31 December 2002AsturiasHospital records36734.1 (30.6, 37.6)
Gómez et al. [23]December 2003AsturiasHospital records31.7 (28.3, 35.0)
Alonso et al. [24]31 December 2006LugoHospital records15017.5 (12.6, 24.1)a
SwedenLeonhardt [7]1955MalmöHospital records2.9
19584.5
19616.0
Nived et al. [70]31 December 1982Lund and OrupHospital and community records6139 (30, 48)
Ståhl-Hallengren et al. [6]31 December 1986Lund and OrupHospital and community records12142
16268
31 December 1991
Simard et al. [71]1 January 2010NationalNational patient register7929(46, 85)
Ingvarsson et al. [27]31 December 2006Lund and OrupHospital and community records17465
TurkeyÇakır et al. [72]HavsaCommunity survey1057 (46, 70)a
UKHochberg [73]1981–82Whole UKCommunity medical record survey206.5
Samanta et al. [74]1986–89LeicesterHospital records5026.1
Hopkinson et al. [28]30 April 1990NottinghamHospital records14724.6 (20.6, 28.7)a
Johnson et al. [29]1992BirminghamHospital records24227.7 (24.2, 31.2)
Gourley et al. [75]1 August 1993Northern IrelandHospital records40825.4 (22.1, 28.7)a
Nightingale et al. [76]1992–98Whole UKCPRD153825.0 (23.4, 26.7) [1992]
40.7 (37.6, 43.8) [1998]
Rees et al. [1]1999–2012Whole UKCPRD187565.0 (62.1, 67.9) [1999]a
441397.0 (94.2, 99.9) [2012]a
North AmericaCanadaPeschken et al. [77]1996ManitobaMedical records25722.1 (13.2, 32.4)
Bernatsky et al. [32]2003QuebecPhysician billing and hospitalization databases382544.7 (37.4, 54.7)a
USASiegel et al. [58]1959New YorkHospital records5
Fessel [34]1973San FranciscoHospital records6450.8
Serdula et al. [78]1975Oahu, HawaiiHospital records8115.3a
Michet et al. [36]1 January 1980MinnesotaHospital records2040.0 (23.5, 57.5)
Uramoto et al. [38]1 January 1993MinnesotaHospital records122 (97, 217)a
Maskarinec et al. [79]1989Hawaii45441.8
Post et al. [80]1996CaliforniaPostal survey2068.2
Balluz et al. [81]1997ArizonaHospital and community records20103 (56, 149)
Ward [62]1988–94NationalUS National health survey40241 (130, 352)
Naleway et al. [39]2001WisconsinMedical records6478.5 (59.0, 98.0)a
Chakravarty et al. [82]2000California and PennsylvaniaHospitalization databasesCalifornia: 107.6 (106.1, 109.2)a
Pennsylvania: 149.5 (146.9, 152.2)a
Feldman et al. [8]2000–04NationalMedicaid database34339143.7 (142.2, 145.3)
Furst et al. [40]2003–08NationalMedical claims database1539681.1 (78.5, 83.6) [2003]
102.9 (100.4, 105.5) [2008]
Lim et al. [41]2002GeorgiaGeorgia Lupus registry115673.0 (68.9, 77.4)a
Somers et al. [42]2002–04MichiganMedical records213972.8 (70.8, 74.8)a
Jarukitsopa et al. [43]1 January 2006Rochester, MNRochester epidemiology project database7253.5 (41.1, 65.9)
Central AmericaCaribbeanNossent [44]1 January 1990CuraçaoMedical records6947.6 (34.1, 51.1)
Deligny et al. [45]1999MartiniqueMedical records24564.2 (56.2, 72.2)
Molina et al. [83]2003Puerto RicoPrivate health insurance database877159
Reyes-Llerena et al. [84]Havana, CubaWHO-ILAR COPCORD study260 (10, 200)
Flower et al. [46]31 October 2009BarbadosNational hospital-based SLE registry22684.1 (73.5, 95.8)
MexicoPeláez-Ballestas et al. [85]Five regions in MexicoWHO-ILAR COPCORD study60 (30, 100)a
South AmericaArgentinaScolnik et al. [47]1 January 2009Buenos AiresPrivate medical care database7558.6 (46.1, 73.5)
BrazilRodrigues Senna et al. [86]Montes Claros CityWHO-ILAR COPCORD study398 (20, 280)
VenezuelaGranados et al. [87]2011MonagosWHO-ILAR COPCORD study370 (10, 200)
AsiaChinaWigley et al. [88]North (near Beijing)WHO-ILAR COPCORD studyNorth: 310
South: 120
South (near Shantou)
Li et al. [89]BeijingCommunity survey330 (0, 60)
IndiaMalaviya et al. [90]DelhiCommunity survey33.2 (0, 6.86)
IranDavatchi et al. [91]September 2005Tehran cityWHO-ILAR COPCORD study340
Davatchi et al. [92]September 2006Five villages in NW IranWHO-ILAR COPCORD study160 (6, 670)
KazakhstanNasonov et al. [10]31 December 2010SemeyHospital records5217.3 (12.9, 22.6)a
MalaysiaWang et al. [93]1974–90Kuala LumpurHospital records53943
PakistanFarooqi et al. [94]NorthWHO-ILAR COPCORD study150
RussiaNasonov et al. [10]31 December 2010Kursk and YaroslavlHospital records797.7 (6.1, 9.7)a
South KoreaJu et al. [95]2004–06NationalNational Health Insurance database9000–1100018.8, 21.7
Shim et al. [51]2006–10NationalNational Health Insurance database1008020.6 (20.2, 21.0) [2006]
1331626.5 (26.0, 27.0) [2010]
TaiwanChou et al. [96]Cu-TienCommunity survey133
Chiu et al. [52]2000–07NationalNational Health Insurance database1546342.2 [2000]
67.4 [2007]
Kang et al. [53]31 December 2005NationalNational Health Insurance database1575369.3
Yu et al. [54]2000NationalNational Health Insurance database35637.0 (10.0, 41.0)
Yeh et al. [55]2003NationalCatastrophic illness database13348897.5
2008
See et al. [56]2005NationalNational Health Insurance database43543.5 (39.4, 47.6)
UkraineNasonov et al. [10]31 December 2010VinnitsaHospital records4512.2 (8.9, 16.4)a
AustralasiaAustraliaAnstey et al. [57]1January 1991Northern Territory.Hospital records2252
Grennan et al. [97]1993Queensland SydneyHospital recordsQueensland: 2089
Sydney: 313
Bossingham [98]1 August 1996 to 31 August 1998Far North QueenslandHospital records10845.3
Minaur et al. [61]January 2002Yarrabah, North QueenslandWHO-ILAR COPCORD study00
New ZealandMeddings et al. [99]DunedinHospital records1614.7
Hart et al. [100]1980AucklandHospital records13617.6a
a

Age standardized. CPRD: clinical practice research datalink; WHO-ILAR COPCORD: World Health Organization–ILAR Community Orientated Program for the Control of Rheumatic Diseases.

Age and sex

In all studies, prevalence was highest among females, with a female to male ratio ranging between 1.2:1 [86] and 15:1 [46]. As an example, in Birmingham in the UK, Johnson et al. [29] found estimates of 49.6/100 000 (95% CI: 43.2, 56.1) for women compared with 3.6/100 000 (95% CI: 2.0, 6.0) for men in a hospital-based study. A further study in Birmingham, UK in 1996 aimed to identify undiagnosed cases of SLE in the community via a postal questionnaire sent to a random sample of 3500 women aged 18–65 years. This suggested a much greater prevalence in women of 200/100 000 (95% CI: 80, 412) [101] compared with the hospital-based study.

Prevalence curves by age had a similar distribution to that of the incidence data, but with a later peak age. Figure 2B shows the age- and sex-specific prevalence from three papers from selected countries from around the world. Summarizing studies from the UK, the peak age of prevalence was between 45 and 69 years for females and between 40 and 89 years for males [1, 76]. Most worldwide studies confirmed the delayed peak age of incidence in males apart from two studies from Scandinavia, which found a lower peak age in men [21, 70].

Ethnicity

Similar to the incidence data, Black ethnic groups had the highest reported prevalence of SLE, White groups the lowest and Asian and Hispanic groups were intermediate for both males and females. As an example, the prevalence in different ethnic groups in the UK is summarized in Table 4.

Table 4

The prevalence of SLE in the UK by ethnicity

ReferencesRegionPrevalence per 100 000 (95% CI)
BlackAsianWhiteChinese
Samanta et al. [102]Leicester40a20a
Samanta et al. [74]Leicester64.0a20.2
Hopkinson et al. [59]Nottingham207.048.8a20.3a92.9a
Johnson et al. [29]Birmingham197.296.5a36.3a
Rees et al. [1]NationalAfrican: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8)Indian: 193.1 (140.8, 258.4)134.5 (128.2, 141.1)188.39 (90.3, 346.5)
ReferencesRegionPrevalence per 100 000 (95% CI)
BlackAsianWhiteChinese
Samanta et al. [102]Leicester40a20a
Samanta et al. [74]Leicester64.0a20.2
Hopkinson et al. [59]Nottingham207.048.8a20.3a92.9a
Johnson et al. [29]Birmingham197.296.5a36.3a
Rees et al. [1]NationalAfrican: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8)Indian: 193.1 (140.8, 258.4)134.5 (128.2, 141.1)188.39 (90.3, 346.5)
a

Age-standardized.

Table 4

The prevalence of SLE in the UK by ethnicity

ReferencesRegionPrevalence per 100 000 (95% CI)
BlackAsianWhiteChinese
Samanta et al. [102]Leicester40a20a
Samanta et al. [74]Leicester64.0a20.2
Hopkinson et al. [59]Nottingham207.048.8a20.3a92.9a
Johnson et al. [29]Birmingham197.296.5a36.3a
Rees et al. [1]NationalAfrican: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8)Indian: 193.1 (140.8, 258.4)134.5 (128.2, 141.1)188.39 (90.3, 346.5)
ReferencesRegionPrevalence per 100 000 (95% CI)
BlackAsianWhiteChinese
Samanta et al. [102]Leicester40a20a
Samanta et al. [74]Leicester64.0a20.2
Hopkinson et al. [59]Nottingham207.048.8a20.3a92.9a
Johnson et al. [29]Birmingham197.296.5a36.3a
Rees et al. [1]NationalAfrican: 179.8 (125.2, 250.1) Caribbean: 517.5 (398.5, 660.8)Indian: 193.1 (140.8, 258.4)134.5 (128.2, 141.1)188.39 (90.3, 346.5)
a

Age-standardized.

In addition to the studies in Table 4, a study of women aged 15–64 years in South London estimated the prevalence of SLE to be 177/100 000 (95% CI: 135, 220) in Afro-Caribbean people and 110/100 000 (95% CI: 58, 163) in West African people compared with 35/100 000 (95% CI: 26, 43) in White European people [103]. Studies from the USA have also confirmed the difference between Black and White populations [8, 33], with intermediate figures for Hispanic, Asian and native North Americans. A study from Hawaii had the greatest ethnic diversity [78]. Here, Chinese and native Hawaiian groups were most prevalent (24.1 and 20.4/100 000, respectively) and Whites least prevalent (5.8/100 000; 95% CI not given). In the same study, White people had a significantly older mean age of disease prevalence of 38.1 years, compared with 29.7 years overall.

Temporal trend

There appeared to be a trend for increasing prevalence with time (Fig. 3B). In the UK, the crude annual prevalence of SLE reported by Nightingale et al. [76] increased from 25/100 000 (95% CI: 23.4, 26.7) in 1992 to 40.7/100 000 (95% CI: 37.6, 43.8) in 1998. A subsequent study by Rees et al. [1] confirmed this trend and found that prevalence rose annually by 3.1% from 1999 to 2012, which was statistically significant. In Malmö, Sweden the prevalence rose from 2.9/100 000 in 1955 to 6.0/100 000 in 1961 [7] and in Lund and Orup from 39/100 000 (95% CI: 30, 48) on 31 December 1982 [70] to 68/100 000 on 31 December 1991 [6]. The same trend was found in Northern Norway [11, 20] and Minnesota [36, 38].

Discussion

There are five main findings from this systematic review: there is worldwide variation in the reported incidence and prevalence of SLE; in all nationalities, there is a female predominance; there is a peak age of incidence, which occurs in middle-aged adults; Black ethnic groups have the highest incidence and prevalence and White ethnic groups have the lowest; and there appears to be an increasing trend in the prevalence of SLE with time.

The geographical variation could reflect differences in the genetic mix of populations or variation in environmental exposures; for example, countries nearer the equator are exposed to more ultraviolet radiation, which has been hypothesized to be an environmental trigger for SLE [104, 105]. The variation could also be attributable to differences in the epidemiological study methods used, the diagnosis rates of SLE in each country, the diagnostic criteria used, access to health care, access to immunology laboratory tests and differing thresholds for positive results, the decade the study was carried out, whether the rates were age adjusted and, if not age adjusted, the underlying population structures. For example, the incidence of SLE in Zimbabwe was one of the lowest worldwide. This may have been underestimated because the data were collected retrospectively, relied on the attendance of people with SLE at one of the study hospitals during the study period, it was not an age-adjusted rate, and life expectancy is lower in Zimbabwe such that the peak age of onset may exceed the average life expectancy. Likewise, the low prevalence found in Australia may be attributable to the fact that it was a small community survey of Australian Aboriginal people in Yarrabah, North Queensland and was underpowered to detect any SLE cases. The North American estimate of SLE incidence of 23.2/100 000 person-years may be overestimated because it is significantly higher than all the other USA estimates. This may be because it is an unadjusted rate or may reflect methodological differences rather than genetic or environmental differences in the population at risk. This study used the Medicaid database, which may have self-selected people with a chronic disease such as SLE, who may be overrepresented in Medicaid, and hence increased the estimate. It should be emphasized that Fig. 1 used data from different decades and from studies using different case-ascertainment methods so should be interpreted with caution.

In common with other conditions that display autoimmune features, SLE is universally more common in females. This could relate both to possession of the double X chromosome and to differences in oestrogen levels, which modulate immune responses [106, 107]. Hormonal changes have been hypothesized to explain the peak incidence in women in young to middle adulthood compared with childhood and older adulthood. However, this explanation cannot fully explain why the peak in incidence extends into the post-menopausal age group [2] unless there is a longer latency between the rise in oestrogen levels, the triggering of the autoimmune pathway and the development of clinical disease in some women.

Incidence and prevalence peak in middle age. Most worldwide studies confirmed the delayed peak age of prevalence in males. Interestingly, two studies from Scandinavia found a lower peak age in men [21, 70]; however, this could be attributable to the small numbers of males in these studies (24 males in the study by Nived et al. [70] and nine males in the study by Lerang et al. [21]).

The majority of studies that compared ethnic differences found Black people to have high incidence and prevalence of SLE, White people to have low and Hispanic and Asian people to have intermediate incidence and prevalence of SLE. However, most of these studies were performed in the USA and Europe. Interestingly, the study of Black Africans in Zimbabwe [9] had a low incidence of SLE. As discussed above, this may have been underestimated. Alternatively, it may be that the incidence and prevalence of SLE is higher in Black populations who have emigrated out of Africa because of differences in gene–environment interactions. This is a hypothesis being explored in the Gullah population in South Carolina compared with people from their ancestral origin in Sierra Leone [108, 109]. Further high-quality epidemiological studies in Africa would also help to address this question. This is challenging in a resource-limited system, where health-care systems are constrained, but could be achieved using the approach used by the WHO-ILAR COPCORD [110].

It is not possible directly to compare the change in incidence and prevalence between studies in the same country that have used different study methods or case definitions; for example, in the UK Nightingale et al. [76, 30] used a stricter definition of SLE than Somers et al. [31] or Rees et al. [1]. The majority of those studies that have looked at the same population using the same methods over time have shown an increasing incidence and prevalence, except for the most recent studies from the UK and the USA, which showed a reduction in incidence. These may be true increases in incidence and prevalence over time, for example, because of an increase in risk factors for SLE and improved survival, or they may be artefactual because of improved diagnosis of people with SLE or better case-ascertainment methods in the study design. Owing to increasing globalization, it is also possibly attributable to net immigration of non-White populations into areas that were previously predominantly White. The recent reductions in incidence in the UK and the USA may therefore reflect changes in environmental risk factors, such as reduced smoking or changes in migration patterns, or perhaps suggest that the risk in later generations of migrants regresses towards the country’s mean. It is important to study these temporal changes so that future health services can be planned to meet the needs of the populations.

A potential limitation of this study was that, firstly, for completeness, all eligible studies were included regardless of size or quality. There is therefore a risk of bias affecting the cumulative evidence. In general, earlier studies were less rigorous than more recent studies and there was greater funding of studies in more developed countries. Secondly, as discussed, it is difficult to assess trend over time between studies that have used different methodologies. Future work should consider study design to enable exploration of temporal trends.

Conclusions

In summary, there is wide geographical variation in the reported incidence and prevalence of SLE. North America had the highest reported incidence and prevalence of SLE, Africa had the lowest incidence and Australia the lowest prevalence. The incidence and prevalence of SLE is higher in females compared with males regardless of age or ethnic origin. The incidence and prevalence are age related, and there is a peak incidence and prevalence for both sex. Males have an older peak age of incidence and prevalence compared with females. In general, people of Black ethnicity have the highest incidence and prevalence of SLE worldwide, followed by Asian and then White ethnic groups. There appears to be a trend of increasing prevalence of SLE with time; the trend for incidence is less clear. Further work to address the lack of epidemiological studies of SLE in Africa, for example using the WHO-ILAR COPCORD approach, may further knowledge underpinning ethnic variation in SLE.

Funding: We would like to thank Lupus UK for funding towards this project.

Disclosure statement: The authors have declared no conflicts of interest.

Supplementary data

Supplementary data are available at Rheumatology Online.

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