| Literature DB >> 33226566 |
Hani Almoallim1, Jamal Al Saleh2, Humeira Badsha3, Haytham Mohamed Ahmed4, Sara Habjoka4, Jeanine A Menassa5, Ayman El-Garf6.
Abstract
Estimates of the global prevalence of rheumatoid arthritis (RA) range from 0.24 to 1%, but vary considerably around the globe. A variation in RA prevalence is also expected across Africa and the Middle East, due to ethnic, climate, and socioeconomic differences. To assess the prevalence of RA in Africa and the Middle East, we searched Medline (via PubMed) and databases of major rheumatology conferences. Seventeen journal articles and 0 abstracts met the inclusion criteria. Estimated prevalence ranged from 0.06 to 3.4%. Most studies reported values near or below 0.25%. Consistent with data from other regions, RA was more prevalent among urban than rural populations, and among women than men. The women:men prevalence ratio ranged from 1.3:1 to 12.5:1, which suggests notable differences from the global average of 2:1. Relative increases in prevalence were observed in North Africa and the Middle East (13% since 1990) and Western Sub-Saharan Africa (14%), whereas rates in Eastern, Central, and Southern Sub-Saharan Africa show decreases (4-12%). Low disease awareness, delays to visit rheumatologists, and socioeconomic factors appear to hinder early diagnosis and aggressive treatment. Few countries have developed RA-specific treatment guidelines, and many physicians and patients face limited access to even basic treatments. An improved understanding of the epidemiology and management of RA, and the related socioeconomic consequences is necessary, so that targeted attempts can be made to encourage early diagnosis and treatment.Entities:
Keywords: Africa; Arab; Management; Middle East; Prevalence; Rheumatoid arthritis
Year: 2020 PMID: 33226566 PMCID: PMC7991016 DOI: 10.1007/s40744-020-00252-1
Source DB: PubMed Journal: Rheumatol Ther ISSN: 2198-6576
Prevalence of RA in Africa and the Middle East (published between January 2009 and March 2020)
| Region/country | Study years | Study design, population, and setting | Criteria for RA definition | Total sample size, | Prevalence, % (95% CI) | References | |
|---|---|---|---|---|---|---|---|
| Region | |||||||
| Global | 1990–2017 (overall prevalence) [ 1990, 2005, 2010 (prevalence by sex) [ | GBD systematic review of 10 countries across 6 global regions | ACR 1987 criteria | NR | Overall: 0.25 (0.22–0.27) Male: 0.13 (0.12–0.13) Female: 0.35 (0.34–0.37) | Safiri et al. [ Cross, et al. [ | |
| North Africa and Middle East | Overall: 0.26 (0.23–0.29) Male: 0.09 (0.08–0.11) Female: 0.24 (0.20–0.28) | ||||||
| Central Sub-Saharan Africa | Overall: 0.22 (0.20–0.24) Male: 0.12 (0.07–0.18) Female: 0.30 (0.19–0.47) | ||||||
| Eastern Sub-Saharan Africa | Overall: 0.21 (0.19–0.23) Male: 0.11 (0.08–0.14) Female: 0.29 (0.23–0.37) | ||||||
| Southern Sub-Saharan Africa | Overall: 0.23 (0.21–0.26) Male: 0.10 (0.09–0.12) Female: 0.30 (0.26–0.34) | ||||||
| Western Sub-Saharan Africa | Overall: 0.14 (0.12–0.15) Male: 0.10 (0.09 to 0.12) Female: 0.28 (0.25–0.32) | ||||||
| Africa | 1975–2014 | Meta-analysis of studies reporting arthritis prevalence in multiple African countries | NR | NR | Urban: 0.54 (0.07–1.01) Rural: 0.18 (0.02–0.35) | Usenbo, et al. [ | |
| Country | |||||||
| Afghanistan | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.15 (0.15–0.16) | Moradi-Lakeh, et al. [ | |
| Algeria | 2010 | Population-based survey of residents of urban Barika, Algeria | ACR 1987 criteria | 125,253 | National prevalence, age- and sex-adjusted: 0.15 (NR) Barika only, unadjusted: 0.13 (0.10–0.17) Barika only, men vs. women (unadjusted): 0.02 (NR) vs. 0.25 (NR) | Slimani et al. [ | |
| Bahrain | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.20 (0.19–0.21) | Moradi-Lakeh, et al. [ | |
| Democratic Republic of Congo | 2010 | Oral survey of residents of Kinshasa | ACR 1987 criteria | 5000 | 0.60 (NR) | Malemba, et al. [ | |
| Djibouti | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.22 (0.22–0.23) | Moradi-Lakeh, et al. 2017 [ | |
| Dubai | 2009 | Patients 18–85 years of age at 13 primary health clinics (11 urban, 2 rural) | ACR 1987 criteria | 3985 | 0.9 (NR) Male: 0.1 (NR) Female: 1.1 (NR) | Al Saleh, et al. [ | |
| Egypt | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.09 (0.09–0.10) | Moradi-Lakeh, et al. [ | |
| Iran | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.15 (0.14–0.16) | Moradi-Lakeh, et al. [ | |
| 2004–2012 | Pooled results from population-based survey across 5 regions of Iran, respondents ≥ 15 years of age | Seven questions about pain, disability, treatment, and evaluation | 19,786 | 0.37 (0.29–0.46) | Davatchi, et al. [ | ||
| 2011–2012 | Population-based survey in Sanandaj (Kurdistan) | Questions about pain, disability, treatment, and evaluation | 5830 | 0.51 (NR) | Moghimi, et al. [ | ||
| Population-based surveys of Khamene ≥ 35 years of age | 952 | Male: 1.4 (NR) Female: 1.8 (NR) | Kolahi, et al. [ | ||||
| 2008–2009 | Population-based survey in 20 districts of urban areas in Zahedan, Iran | People with MSK complaints were examined by the rheumatologist | 2100 | 0.98 (NR) | Sandoughi, et al. [ | ||
| Iraq | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.07 (0.06–0.07) | Moradi-Lakeh, et al. [ | |
| Jordan | 0.07 (0.06–0.07) | ||||||
| Kuwait | 0.07 (0.07–0.08) | ||||||
| Lebanon | 0.21 (0.19–0.22) | ||||||
| Population-based survey across Lebanon | ACR 1987 criteria | 3530 | 1.0 (N/A) | Chaaya, et al. [ | |||
| Libya | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.15 (0.14–0.16) | Moradi-Lakeh, et al. [ | |
| Morocco | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.16 (0.15–0.17) | Moradi-Lakeh, et al. [ | |
| 2010–2016 | Retrospective study of data from autoimmunity laboratory | Patients whose sera had been tested for autoantibodies | 3182 | 2.8 (N/A) | Missoum, et al. [ | ||
| Oman | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.08 (0.07–0.09) | Moradi-Lakeh, et al. [ | |
| Pakistan | 0.16 (0.15–0.17) | ||||||
| Palestine | 0.15 (0.14–0.16) | ||||||
| Qatar | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.18 (0.17–0.19) | Moradi-Lakeh, et al. [ | |
| 2011–2012 | Cross-sectional study of women (40–60 years of age) from primary health centers in Doha | Self-reported presence/absence of RA | 841 | Female: 4.3 (NR) | Gerber, et al. [ | ||
| Saudi Arabia | 2015 | Cross-sectional survey of students of Taif University, Saudi Arabia on occurrence of RA among relatives | Clinical assessment by rheumatologists | 3985 | 0.3 (NR) Female: 0.6 (NR) Male: 0.05 (NR) | Albishri, et al. [ | |
| 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.06 (0.05–0.06) | Moradi-Lakeh, et al. [ | ||
| Somalia | 0.19 (0.18–0.20) | ||||||
| South Africa | 1975–2014 | Meta-analysis of studies reporting arthritis prevalence in African countries | NR | NR | Urban: 2.54 (– 0.43 to 5.52) Rural: 0.07 (– 0.06 to 0.19) | Usenbo, et al. [ | |
| Sudan | 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.13 (0.12–0.14) | Moradi-Lakeh, et al. [ | |
| Syria | 0.13 (0.12–0.14) | ||||||
| Tunisia | 0.18 (0.17–0.19) | ||||||
| Turkey | NR | Population-based study of individuals ≥ 16 years of age | ACR 1987 criteria | 4012 | Overall: 0.56 (0.33–0.79) Male: 0.10 (– 0.05 to 0.25) Female: 0.89 (0.51–1.27) | Tuncer et al. [ | |
| United Arab Emirates | 2015–2018 | Retrospective cohort study in Abu Dhabi | 2010 RA ACR/EULAR criteria | 15,231 | All nationalities: 3.4 (N/A) Emerati: 2.72 (N/A) Male Emerati: 1.28 (N/A) Female Emerati: 3.73 (N/A) | Namas, et al. [ | |
| 2013 | GBD systematic review of 188 countries across 7 global regions | ICD-10 codes for RA | NR | 0.09 (0.08–0.10) | Moradi-Lekaleh, et al. [ | ||
| Yemen | 0.13 (0.13–0.14) | ||||||
Unless otherwise indicated, prevalence rates are unadjusted for age and sex
ACR American College of Rheumatology; CI confidence interval; GBD Global Burden of Disease; ICD-10 International Statistical Classification of Diseases and Related Health Problems, tenth revision; NR not reported
aAge-adjusted prevalence rate
bOverall urban and urban South Africa results from the meta-analysis are included in this table. Meta-analysis also included findings from Slimani, et al. [21] and Malemba, et al. [20]
cPoint prevalence in 2013
dAge- and sex-adjusted prevalence rate
Fig. 1Age-standardized prevalence rate (per 100,000), both sexes, 2017 (Reproduced from Annals of the Rheumatic Diseases, Safiri S et al., 78, 1463–1471, Copyright© 2019, with permission from BMJ Publishing Group Ltd)
| While rheumatoid arthritis (RA) affects 0.24–1% of the worldwide population, variations in prevalence can be expected across Africa and the Middle East (AfME) due to ethnic, climate, and socioeconomic differences. |
| In this review, we discuss data on the prevalence of RA in the AfME region published in the last 10 years as well as potential barriers to effective treatment. |
| Prevalence ranged from 0.06 to 3.4% across countries in the region, although most studies reported values of around 0.24%. |
| Unmet needs included limited disease awareness, delays in diagnosis and start of treatment, lack of country-specific treatment guidelines, and difficulties accessing treatment. |
| Increasing understanding of the epidemiology and management of RA is crucial to ensure timely diagnosis and appropriate treatment, thereby improving outcomes for patients. |