| Literature DB >> 29969998 |
John Musuku1, Mark E Engel2, Patrick Musonda3, Joyce Chipili Lungu1, Elizabeth Machila1, Sherri Schwaninger4, Agnes Mtaja1, Evans Mulendele1, Dorothy Kavindele1, Jonathan Spector5, Brigitta Tadmor6, Marcelo M Gutierrez7, Joris Van Dam8, Laurence Colin8, Aidan Long9, Mark C Fishman10, Bongani M Mayosi11, Liesl J Zühlke12.
Abstract
BACKGROUND: The large global burden of rheumatic heart disease (RHD) has come to light in recent years following robust epidemiologic studies. As an operational research component of a broad program aimed at primary and secondary prevention of RHD, we sought to determine the current prevalence of RHD in the country's capital, Lusaka, using a modern imaging-based screening methodology. In addition, we wished to evaluate the practicality of training local radiographers in echocardiography screening methods.Entities:
Keywords: Cardiovascular disease; Control strategies; Echocardiography; Epidemiology; Prevalence; Rheumatic fever; Rheumatic heart disease; Screening; Streptococcal pharyngitis; Zambia
Mesh:
Year: 2018 PMID: 29969998 PMCID: PMC6029054 DOI: 10.1186/s12872-018-0871-8
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Fig. 1A radiographer from Lusaka University Teaching Hospital uses ultraportable echocardiography to screen an adolescent for rheumatic heart disease as part of the study (photograph used with permission of participant)
Fig. 2Student disposition in study methodology
Fig. 3Flowchart of schools of students involved in the study
Sociodemographic characteristics of 1102 students screened for RHD in Lusaka, Zambia
| Characteristic | n(%) |
|---|---|
| Gender | |
| Female | 590 (54) |
| Male | 512 (46) |
| Age (years) | |
| Mean (SD) | 15.4 (1.9) |
| Median | 15 |
| 10–12 | 48 (4.4) |
| 13–15 | 506 (45.9) |
| 16–18 | 443 (40.2) |
| 19–21 | 40 (3.6) |
| 22–24 | 2 (0.2) |
| Unobserved | 63 (5.7) |
| Socioeconomic status | |
| Lower | 658 (59.7) |
| Higher | 330 (29.9) |
| Unobserved | 114 (10.3) |
| Schools | |
| Basic schools | |
| Yotam Muleya | 102 (9.3) |
| Namando | 86 (7.8) |
| State Lodge A | 62 (5.6) |
| Hillside | 71 (6.4) |
| Kaunda Square | 74 (6.7) |
| Kalingalinga | 21 (1.9) |
| Lotus | 75 (6.8) |
| Twashuka | 52 (4.7) |
| Kamulanga | 86 (7.8) |
| Secondary schools | |
| Matero | 123 (11.2) |
| Nyumba Yanga | 100 (9.1) |
| High schools | |
| St. Patrick Girls | 91 (8.3) |
| Kamulanga | 36 (3.3) |
| Munali Boys | 51 (4.6) |
| Kabulonga Boys | 72 (6.5) |
Demographic and clinical characteristics of 13 students identified to have definite and borderline RHD
| Characteristic | n (%) |
|---|---|
| Gender | |
| Female | 8 (62) |
| Male | 5 (38) |
| Age (years) | |
| Mean (SD) | 15.3 (1.9) |
| Median | 16 |
| Range | 13–18 |
| Socioeconomic status | |
| Lower | 10 (77) |
| Higher | 1 (8) |
| Unobserved | 2 (15) |
| Definite RHD criteria met [ | |
| Pathological MR and at least two morphological features of RHD of the MV | 3 |
| MS mean gradient ≥ 4 mmHg | 0 |
| Pathological AR and at least two morphological features of RHD of the AV | 0 |
| Borderline disease of both the AV and MV | 0 |
| Borderline RHD criteria met [ | |
| At least two morphological features of RHD of the MV without pathological MR or MS | 0 |
| Pathological MR | 10 |
| Pathological AR | 0 |
Acronyms, AR atrial regurgitation, AV atrial valve, MR mitral regurgitation, MS mitral stenosis, MV mitral valve, SD standard deviation
Measurement of performance of local radiographers in echocardiography-based screening (“negative” refers to a normal screening evaluation; “positive” refers to a screening evaluation that is abnormal)
| Number of screening tests | Local radiographers | Quality assurance specialist |
|---|---|---|
| 450 | Negative | Negative |
| 12 | Negative | Positive |
| 8 | Positive | Positive |
| 8 | Positive | Negative |
Summary of RHD prevalence studies using echocardiography conducted in sub-Saharan Africa. More than 27,000 children have been screened for RHD using echocardiography in this region. The variability in findings of RHD prevalence between countries is not fully understood
| Year reported | Country (location) | Population studied | Methodology | RHD prevalence |
|---|---|---|---|---|
| 1996 | Kenya (Eldoret) [ | 1150 school children in grades 1–8 in two schools | Colour-flow echocardiography and a portable generator using investigator-defined criteria | Definite 0.3% |
| 2007 | Mozambique (Maputo) [ | 2170 randomly selected children aged 6–17 years in six schools | Portable echocardiography at schools using investigator-defined criteria | 3% |
| 2012 | Uganda (Kampala) [ | 4869 children aged 5–16 years in six randomly selected schools | Portable echocardiography at schools using 2006 WHO/NIH criteria | Possible 1%; probable 0.4%; definite 0.2% |
| 2014 | Eritrea (multiple cities) [ | 684 adolescents aged 13–24 randomly selected from nine schools | Portable echocardiography at schools using investigator-defined criteria | Suspected 3.3%; definite 4% |
| 2015 | Senegal (Dakar) [ | 2019 children aged 5–18 years in 16 schools | Portable echocardiography at schools using WHF criteria | Borderline 1.1%; definite 0.05% |
| 2015 | Ethiopia (Jimma) [ | 2000 children aged 4–24 years from randomly selected schools | Echocardiography at a university-affiliated field research center using WHF criteria | Borderline 1.4%; definite 1.7% |
| 2015 | South Africa (Cape Town) [ | 2720 children aged 4–24 years in randomly selected schools | Portable echocardiography in a mobile clinic using WHF criteria | Borderline 1.5%; definite 0.5% |
| 2015 | South Africa (Free State and Northern Cape) [ | 1015 children aged 14–22 years in grades 10–12 | Portable echocardiography at schools using investigator-defined criteria | Definite 0.5% |
| 2016 | Malawi (Lilongwe) [ | 1450 children aged 5–16 years in three schools and surrounding communities | Portable echocardiography at schools and in surrounding communities using WHF criteria | Borderline 2.7%; definite 0.7% |
| 2016 | Uganda (Kampala) [ | 488 HIV-infected children aged 5–18 years from an outpatient clinic | Echocardiography at medical centers using WHF criteria | Borderline 0.4%; definite 0.4% |
| 2016 | Ethiopia (6 cities) [ | 3238 children aged 6–18 years in 28 randomly selected schools | Portable echocardiography at schools using WHF criteria | Borderline 0.5%; definite 1.4% |
| 2017 | Rwanda (Gasabo district) [ | 2501 children aged 6–16 years in 10 schools | Portable echocardiography at schools using WHF criteria | Borderline 0.5%; definite 0.2% |