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Cardiovascular disease risk profile and management practices in 45 low-income and middle-income countries: A cross-sectional study of nationally representative individual-level survey data.
Peiris, David; Ghosh, Arpita; Manne-Goehler, Jennifer; Jaacks, Lindsay M; Theilmann, Michaela; Marcus, Maja E; Zhumadilov, Zhaxybay; Tsabedze, Lindiwe; Supiyev, Adil; Silver, Bahendeka K; Sibai, Abla M; Norov, Bolormaa; Mayige, Mary T; Martins, Joao S; Lunet, Nuno; Labadarios, Demetre; Jorgensen, Jutta M A; Houehanou, Corine; Guwatudde, David; Gurung, Mongal S; Damasceno, Albertino; Aryal, Krishna K; Andall-Brereton, Glennis; Agoudavi, Kokou; McKenzie, Briar; Webster, Jacqui; Atun, Rifat; Bärnighausen, Till; Vollmer, Sebastian; Davies, Justine I; Geldsetzer, Pascal.
Afiliação
  • Peiris D; The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia.
  • Ghosh A; The George Institute for Global Health, UNSW Sydney, New Delhi, India.
  • Manne-Goehler J; Manipal Academy of Higher Education, Manipal, India.
  • Jaacks LM; Heidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.
  • Theilmann M; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Marcus ME; Heidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.
  • Zhumadilov Z; Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
  • Tsabedze L; Nazarbayev University School of Medicine, Nur-Sultan, Kazakhstan.
  • Supiyev A; Eswatini Ministry of Health, Mbabane, Eswatini.
  • Silver BK; Laboratory of Epidemiology and Public Health, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
  • Sibai AM; St. Francis Hospital Nsambya, Kampala, Uganda.
  • Norov B; Department of Epidemiology & Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
  • Mayige MT; National Center for Public Health, Ulaanbaatar, Mongolia.
  • Martins JS; National Institute for Medical Research, Dar es Salaam, Tanzania.
  • Lunet N; Faculty of Medicine and Health Sciences, Universidade Nacional Timor Lorosa'e, Dili, Timor-Leste.
  • Labadarios D; Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
  • Jorgensen JMA; Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
  • Houehanou C; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Guwatudde D; Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
  • Gurung MS; Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
  • Damasceno A; Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan.
  • Aryal KK; Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique.
  • Andall-Brereton G; Monitoring Evaluation and Operational Research Project, Abt Associates, Kathmandu, Nepal.
  • Agoudavi K; Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
  • McKenzie B; Togo Ministry of Health, Lomé, Togo.
  • Webster J; The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia.
  • Atun R; The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia.
  • Bärnighausen T; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Vollmer S; Heidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.
  • Davies JI; Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
  • Geldsetzer P; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
PLoS Med ; 18(3): e1003485, 2021 03.
Article em En | MEDLINE | ID: mdl-33661979
ABSTRACT

BACKGROUND:

Global cardiovascular disease (CVD) burden is high and rising, especially in low-income and middle-income countries (LMICs). Focussing on 45 LMICs, we aimed to determine (1) the adult population's median 10-year predicted CVD risk, including its variation within countries by socio-demographic characteristics, and (2) the prevalence of self-reported blood pressure (BP) medication use among those with and without an indication for such medication as per World Health Organization (WHO) guidelines. METHODS AND

FINDINGS:

We conducted a cross-sectional analysis of nationally representative household surveys from 45 LMICs carried out between 2005 and 2017, with 32 surveys being WHO Stepwise Approach to Surveillance (STEPS) surveys. Country-specific median 10-year CVD risk was calculated using the 2019 WHO CVD Risk Chart Working Group non-laboratory-based equations. BP medication indications were based on the WHO Package of Essential Noncommunicable Disease Interventions guidelines. Regression models examined associations between CVD risk, BP medication use, and socio-demographic characteristics. Our complete case analysis included 600,484 adults from 45 countries. Median 10-year CVD risk (interquartile range [IQR]) for males and females was 2.7% (2.3%-4.2%) and 1.6% (1.3%-2.1%), respectively, with estimates indicating the lowest risk in sub-Saharan Africa and highest in Europe and the Eastern Mediterranean. Higher educational attainment and current employment were associated with lower CVD risk in most countries. Of those indicated for BP medication, the median (IQR) percentage taking medication was 24.2% (15.4%-37.2%) for males and 41.6% (23.9%-53.8%) for females. Conversely, a median (IQR) 47.1% (36.1%-58.6%) of all people taking a BP medication were not indicated for such based on CVD risk status. There was no association between BP medication use and socio-demographic characteristics in most of the 45 study countries. Study limitations include variation in country survey methods, most notably the sample age range and year of data collection, insufficient data to use the laboratory-based CVD risk equations, and an inability to determine past history of a CVD diagnosis.

CONCLUSIONS:

This study found underuse of guideline-indicated BP medication in people with elevated CVD risk and overuse by people with lower CVD risk. Country-specific targeted policies are needed to help improve the identification and management of those at highest CVD risk.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pobreza / Doenças Cardiovasculares / Países em Desenvolvimento / Anti-Hipertensivos Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pobreza / Doenças Cardiovasculares / Países em Desenvolvimento / Anti-Hipertensivos Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Med Assunto da revista: MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália