The Haiti cardiovascular disease cohort: study protocol for a population-based longitudinal cohort

Jean Lookens, Olga Tymejczyk, Vanessa Rouzier, Caleigh Smith, Fabyola Preval, Inddy Joseph, Raynold Jean Baptiste, Joscar Victor, Patrice Severe, Sandra Apollon, Emelyne Dumont, Guyrlaine Forestal, Stephano St Preux, Vanessa Rivera, Grace Seo, Benedict Charles, Wilson Ariste, Justin Kingery, Jessy Devieux, Serena Koenig, Denis Nash, Daniel Fitzgerald, Monika Safford, Marie Marcelle Deschamps, Jean Pape, Margaret McNairy, Jean Lookens, Olga Tymejczyk, Vanessa Rouzier, Caleigh Smith, Fabyola Preval, Inddy Joseph, Raynold Jean Baptiste, Joscar Victor, Patrice Severe, Sandra Apollon, Emelyne Dumont, Guyrlaine Forestal, Stephano St Preux, Vanessa Rivera, Grace Seo, Benedict Charles, Wilson Ariste, Justin Kingery, Jessy Devieux, Serena Koenig, Denis Nash, Daniel Fitzgerald, Monika Safford, Marie Marcelle Deschamps, Jean Pape, Margaret McNairy

Abstract

Background: Cardiovascular disease (CVD) is the leading cause of mortality among Haitians, having surpassed HIV in the last decade. Understanding the natural history of CVD in Haitians, including the age of onset, prevalence, incidence, and role of major risk factors and social determinants, is urgently needed to develop prevention and treatment interventions. Aim 1: Establish a population-based cohort of 3000 adults from Port-au-Prince and assess the prevalence of CVD risk factors and diseases and their association with social and environmental determinants. Aim 2: Determine the incidence of CVD risk factors and CVD during 2-3.5 years of follow-up and their association with social and environmental determinants.

Methods: The Haiti CVD Cohort is a longitudinal observational study of 3000 adults > 18 years in Port-au-Prince (PAP), Haiti. The study population is recruited using multistage random sampling from census blocks. Adults receive blood pressure (BP) measurements in the community and those with elevated BP are referred to the Groupe Haitien d'Etude Sarcome de Kaposi et des Infections Opportunistes Clinic for care. After informed consent, participants undergo a clinical exam with medical history. BP, electrocardiogram, echocardiogram, a study questionnaire on health behaviors, and laboratory specimens. Every 6 months, BP is remeasured. At 12 and 24 months, clinical exams and questionnaires are repeated. Labs are repeated at 24 months. Adjudicated study outcomes include the prevalence and incidence of CVD risk factors (hypertension, diabetes, obesity, dyslipidemia, kidney disease, inflammation, poor diet, smoking, and physical inactivity) and events (myocardial infarction, heart failure, stroke, and CVD mortality). We also measure social determinants including poverty. Depression, stress, social isolation, food insecurity, and lead exposure. Blood, urine, and stool samples are biobanked at study enrollment.

Discussion: The Haiti CVD Cohort is the largest population-based cohort study evaluating CVD risk factors and CVD among adults in urban Haiti with the goal of understanding the drivers of the CVD epidemic in Haiti. Study outcomes are comparable with existing international cohorts, and the biobank will provide important data for future research. Our goal is to translate findings from this study into pragmatic prevention and treatment interventions to fight the CVD epidemic in Haiti.

Keywords: Cardiovascular medicine; Epidemiology; Hypertension; Public health.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Adapted Social Ecological Model of CVD in Haiti
Fig. 2
Fig. 2
Initial Funding Period Timeline Overview
Fig. 3
Fig. 3
Map of Study Recruitment Area in Metropolitan Port au Prince and Research Site at GHESKIO

References

    1. Evaluation Institute for Health Metrics . Health Data Haiti. 2017.
    1. Roth GA, Johnson C, Abajobir A, et al. Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. J Am Coll Cardiol. 2017;70(1):1–25. doi: 10.1016/j.jacc.2017.04.052.
    1. WHO. WHO Noncommunicable diseases country profile in Haiti, 2014: WHO; 2017. [Accessed 12 Sep 2017].
    1. Institute for Health Metrics and Evaluation . GBD Compare Data Visulation. Seattle: IHME, University of Washington; 2017.
    1. WHO . WHO Cardiovascular Disease Fact Sheet. Geneva: WHO; 2017.
    1. Nesbitt SD. Environmental, societal, and genetic contributions to the epidemic of hypertension in African Americans. Curr Cardiovasc Risk Rep. 2008;2(3):181–186. doi: 10.1007/s12170-008-0034-z.
    1. Kreatsoulas C, Anand SS. The impact of social determinants on cardiovascular disease. Can J Cardiol. 2010;26(Suppl C):8C–13C. doi: 10.1016/S0828-282X(10)71075-8.
    1. Chow CK, Lock K, Teo K, et al. Environmental and societal influences acting on cardiovascular risk factors and disease at a population level: a review. Int J Epidemiol. 2009;38(6):1580–1594. doi: 10.1093/ije/dyn258.
    1. Lang T, Lepage B, Schieber A-C, et al. Social determinants of cardiovascular diseases. Public Health Rev. 2011;33(2):601. doi: 10.1007/BF03391652.
    1. Davis SK, Gebreab S, Quarells R, et al. Social determinants of cardiovascular health among black and white women residing in Stroke Belt and buckle regions of the south. Ethnicity Dis. 2014;24(2):133.
    1. Sacco RL, Roth GA, Reddy KS, et al. The heart of 25 by 25: achieving the goal of reducing global and regional premature deaths from cardiovascular diseases and stroke: a modeling study from the American Heart Association and world heart federation. Circulation. 2016;133(23):e674–e690. doi: 10.1161/CIR.0000000000000395.
    1. Mendis S, Davis S, Norrving B. Organizational update: the world health organization global status report on noncommunicable diseases 2014; one more landmark step in the combat against stroke and vascular disease. Stroke. 2015;46(5):e121–e122. doi: 10.1161/STROKEAHA.115.008097.
    1. Lavados PM, Hennis AJ, Fernandes JG, et al. Stroke epidemiology, prevention, and management strategies at a regional level: Latin America and the Caribbean. Lancet Neurol. 2007;6(4):362–372. doi: 10.1016/S1474-4422(07)70003-0.
    1. Valtis YK, Cochran MF, Martineau L, et al. Head CT findings at a public hospital in rural Haiti. J Neurol Sci. 2017;379:327–330. doi: 10.1016/j.jns.2017.06.029.
    1. Institut Haïtien de l’Enfance. (IHE) and ICF. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017. Pétion-Ville, Haïti, et Rockville, Maryland; 2018.
    1. McNairy ML, Tymejczyk O, Rivera V, et al. High burden of non-communicable diseases among a young slum population in Haiti. J Urban Health. 2019;96(6):797–812. doi: 10.1007/s11524-019-00368-y.
    1. Tymejczyk O, McNairy ML, Petion JS, et al. Hypertension prevalence and risk factors among residents of four slum communities: population-representative findings from Port-au-Prince, Haiti. J Hypertens. 2019;37(4):685–695. doi: 10.1097/HJH.0000000000001966.
    1. Liu K, Ballew C, Jacobs DR, Jr, et al. Ethnic differences in blood pressure, pulse rate, and related characteristics in young adults. The CARDIA study. Hypertension. 1989;14(2):218–226. doi: 10.1161/01.HYP.14.2.218.
    1. Centers for Disease Control and Prevention. National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2011–2014. []. In: CDC, ed. Atlanta, 2011.
    1. CARDIA Coordinating Center. Coronary Artery Risk Development in Young Adults (CARDIA) dataset. Used with permission by the CARDIA Coordinating Center Executive Committee. University of Alabama; 2017.
    1. Wagenaar BH, Hagaman AK, Kaiser BN, et al. Depression, suicidal ideation, and associated factors: a cross-sectional study in rural Haiti. BMC Psychiatry. 2012;12(1):149. doi: 10.1186/1471-244X-12-149.
    1. Cenat JM, Derivois D. Assessment of prevalence and determinants of posttraumatic stress disorder and depression symptoms in adults survivors of earthquake in Haiti after 30 months. J Affect Disord. 2014;159:111–117. doi: 10.1016/j.jad.2014.02.025.
    1. Cerda M, Paczkowski M, Galea S, et al. Psychopathology in the aftermath of the Haiti earthquake: a population-based study of posttraumatic stress disorder and major depression. Depress Anxiety. 2013;30(5):413–424. doi: 10.1002/da.22007.
    1. Yan LL, Liu K, Matthews KA, et al. Psychosocial factors and risk of hypertension: the coronary artery risk development in young adults (CARDIA) study. JAMA. 2003;290(16):2138–2148. doi: 10.1001/jama.290.16.2138.
    1. Linden W. Review: depression, social isolation, and certain life events are associated with the development of coronary heart disease. ACP J Club. 2003;139(3):81.
    1. Bunker SJ, Colquhoun DM, Esler MD, et al. “Stress” and coronary heart disease: psychosocial risk factors. Med J Aust. 2003;178(6):272–276. doi: 10.5694/j.1326-5377.2003.tb05193.x.
    1. Kubota Y, Heiss G, MacLehose RF, et al. Association of educational attainment with lifetime risk of cardiovascular disease: the Atherosclerosis Risk in Communities Study. JAMA Intern Med. 2017;177(8):1165–1172. doi: 10.1001/jamainternmed.2017.1877.
    1. Jones-Webb R, Jacobs DR, Jr, Flack JM, et al. Relationships between depressive symptoms, anxiety, alcohol consumption, and blood pressure: results from the CARDIA study. Coronary artery risk development in young adults study. Alcohol Clin Exp Res. 1996;20(3):420–427. doi: 10.1111/j.1530-0277.1996.tb01069.x.
    1. Rubin RR, Peyrot M, Gaussoin SA, et al. Four-year analysis of cardiovascular disease risk factors, depression symptoms, and antidepressant medicine use in the look AHEAD (action for health in diabetes) clinical trial of weight loss in diabetes. Diabetes Care. 2013;36(5):1088–1094. doi: 10.2337/dc12-1871.
    1. Meng L, Chen D, Yang Y, et al. Depression increases the risk of hypertension incidence: a meta-analysis of prospective cohort studies. J Hypertens. 2012;30(5):842–851. doi: 10.1097/HJH.0b013e32835080b7.
    1. Jonas BS, Franks P, Ingram DD. Are symptoms of anxiety and depression risk factors for hypertension? Longitudinal evidence from the National Health and nutrition examination survey I epidemiologic follow-up study. Arch Fam Med. 1997;6(1):43. doi: 10.1001/archfami.6.1.43.
    1. Pratt LA, Ford DE, Crum RM, et al. Depression, psychotropic medication, and risk of myocardial infarction. Prospective data from the Baltimore ECA follow-up. Circulation. 1996;94(12):3123–3129. doi: 10.1161/01.CIR.94.12.3123.
    1. Frasure-Smith N, Lesperance F, Talajic M. Depression and 18-month prognosis after myocardial infarction. Circulation. 1995;91(4):999–1005. doi: 10.1161/01.CIR.91.4.999.
    1. Frasure-Smith N, Lesperance F, Talajic M. Depression following myocardial infarction. Impact on 6-month survival. JAMA. 1993;270(15):1819–1825. doi: 10.1001/jama.1993.03510150053029.
    1. Kopp SJ, Barron JT, Tow JP. Cardiovascular actions of lead and relationship to hypertension: a review. Environ Health Perspect. 1988;78:91–99. doi: 10.1289/ehp.887891.
    1. Hertz-Picciotto I, Croft J. Review of the relation between blood lead and blood pressure. Epidemiol Rev. 1993;15(2):352–373. doi: 10.1093/oxfordjournals.epirev.a036125.
    1. Schwartz J. The relationship between blood lead and blood pressure in the NHANES II survey. Environ Health Perspect. 1988;78:15–22. doi: 10.1289/ehp.887815.
    1. Pirkle JL, Schwartz J, Landis JR, et al. The relationship between blood lead levels and blood pressure and its cardiovascular risk implications. Am J Epidemiol. 1985;121(2):246–258. doi: 10.1093/oxfordjournals.aje.a113995.
    1. Nawrot TS, Thijs L, Den Hond EM, et al. An epidemiological re-appraisal of the association between blood pressure and blood lead: a meta-analysis. J Hum Hypertens. 2002;16(2):123–131. doi: 10.1038/sj.jhh.1001300.
    1. Den Hond E, Nawrot T, Staessen JA. The relationship between blood pressure and blood lead in NHANES III. National Health and Nutritional Examination Survey. J Hum Hypertens. 2002;16(8):563–568. doi: 10.1038/sj.jhh.1001452.
    1. Lustberg M, Silbergeld E. Blood lead levels and mortality. Arch Intern Med. 2002;162(21):2443–2449. doi: 10.1001/archinte.162.21.2443.
    1. Carpenter C, Potts B, von Oettingen J, et al. High rates of raised blood lead concentrations in Haitian infants and children. Lancet Glob Health. 2016;4:S22. doi: 10.1016/S2214-109X(16)30027-4.
    1. Kotz S, Johnson N, Read C (eds). Encylopeida of Stastitical Sciences. 9 Vol. First Edition. Wileny Online Publishing Library; 1981.
    1. Institut Haitien de Statistique et d’Informatique (IHSI). Atlas Censitaire 2003 Map. Haiti: Ministère de l’Economie et des Finances; 2006.
    1. Joseph M, Wang F. Population density patterns in Port-au-Prince, Haiti: A model of Latin American city? Cities. 2010;27(3):127–136. doi: 10.1016/j.cities.2009.12.002.
    1. Standford Librarires EarthWorks. Population at the SDE (Section d'énumération) level Port au-Prince Haiti 2003. Elsevier-Dutton; 2003.
    1. Liz S. New AHA recommendations for blood pressure measurement: American Heart Association Practice Guidelines. Am Fam Phys. 2005;72(7):1391–1398.
    1. WHO . WHO STEPS Surveillance Manual. Geneva: WHO; 2017.
    1. James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth joint National Committee (JNC 8) Jama. 2014;311(5):507–520. doi: 10.1001/jama.2013.284427.
    1. Failde I, Medina P, Ramirez C, et al. Construct and criterion validity of the SF-12 health questionnaire in patients with acute myocardial infarction and unstable angina. J Eval Clin Pract. 2010;16(3):569–573. doi: 10.1111/j.1365-2753.2009.01161.x.
    1. Failde I, Medina P, Ramirez C, et al. Assessing health-related quality of life among coronary patients: SF-36 vs SF-12. Public Health. 2009;123(9):615–617. doi: 10.1016/j.puhe.2009.07.013.
    1. Dyer AR, Cutter GR, Liu KQ, et al. Alcohol intake and blood pressure in young adults: the CARDIA study. J Clin Epidemiol. 1990;43(1):1–13. doi: 10.1016/0895-4356(90)90050-Y.
    1. Pletcher MJ, Varosy P, Kiefe CI, et al. Alcohol consumption, binge drinking, and early coronary calcification: findings from the coronary artery risk development in young adults (CARDIA) study. Am J Epidemiol. 2005;161(5):423–433. doi: 10.1093/aje/kwi062.
    1. Halanych JH, Safford MM, Kertesz SG, et al. Alcohol consumption in young adults and incident hypertension: 20-year follow-up from the coronary artery risk development in young adults study. Am J Epidemiol. 2010;171(5):532–539. doi: 10.1093/aje/kwp417.
    1. National Institute on Drug Abuse . NIDA Resource Guide: Screening for Drug Use in General Medicine Settings, the NIDA Quick Screen. Bethesda: NIDA; 2017.
    1. Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6(6):790–804. doi: 10.1123/jpah.6.6.790.
    1. Cohen S, Kamarck T, Mermelstein R. Measuring stress: A guide for health and social scientists. 1994. Perceived stress scale.
    1. Carver JW, Devieux JG, Gaston SC, et al. Sexual risk behaviors among adolescents in Port-au-Prince, Haiti. AIDS Behav. 2014;18(8):1595–1603. doi: 10.1007/s10461-013-0689-4.
    1. Gulliford MC, Mahabir D, Rocke B. Food insecurity, food choices, and body mass index in adults: nutrition transition in Trinidad and Tobago. Int J Epidemiol. 2003;32(4):508–516. doi: 10.1093/ije/dyg100.
    1. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. J Pers Assess. 1988;52:30–41. doi: 10.1207/s15327752jpa5201_2.
    1. Cagney KA, Browning CR, Wallace DM. The Latino paradox in neighborhood context: the case of asthma and other respiratory conditions. Am J Public Health. 2007;97(5):919–925. doi: 10.2105/AJPH.2005.071472.
    1. Cohen DA, Finch BK, Bower A, et al. Collective efficacy and obesity: the potential influence of social factors on health. Soc Sci Med. 2006;62(3):769–778. doi: 10.1016/j.socscimed.2005.06.033.
    1. Ewart CK, Suchday S. Discovering how urban poverty and violence affect health: development and validation of a neighborhood stress index. Health Psychol. 2002;21(3):254–262. doi: 10.1037/0278-6133.21.3.254.
    1. Suchday S, Kapur S, Ewart CK, et al. Urban stress and health in developing countries: development and validation of a neighborhood stress index for India. Behav Med. 2006;32(3):77–86. doi: 10.3200/BMED.32.3.77-86.
    1. D'Informatique IHDSE. Population Totale, De 18 Ans Et Plus Menages Et Densites Estimes en 2015. Port-au-Prince: IHSI; 2015.
    1. Cook DG, Shaper A, MacFarlane P. Using the WHO (rose) angina questionnaire in cardiovascular epidemiology. 1989.
    1. Jones WJ, Williams LS, Meschia JF. Validating the Questionnaire for Verifying Stroke-Free Status (QVSFS) by neurological history and examination. Stroke. 2001;32(10):2232–2236. doi: 10.1161/hs1001.096191.
    1. American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(Suppl 1):S62–S69. doi: 10.2337/dc10-S062.
    1. WHO. Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus: WHO; 2011. Available from: [Accessed 30 Sep 2017].
    1. Stone N, Robinson J, Lichtenstein A, et al. ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. Circulation. 2013;10(01).
    1. Warnock DG, Muntner P, McCullough PA, et al. Kidney function, albuminuria, and all-cause mortality in the REGARDS (reasons for geographic and racial differences in stroke) study. Am J Kidney Dis. 2010;56(5):861–871. doi: 10.1053/j.ajkd.2010.05.017.
    1. Levey AS, Cattran D, Friedman A, et al. Proteinuria as a surrogate outcome in CKD: report of a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. Am J Kidney Dis. 2009;54(2):205–226. doi: 10.1053/j.ajkd.2009.04.029.
    1. Hallan S, Astor B, Romundstad S, et al. Association of kidney function and albuminuria with cardiovascular mortality in older vs younger individuals: the HUNT II study. Arch Intern Med. 2007;167(22):2490–2496. doi: 10.1001/archinte.167.22.2490.
    1. Levey AS, Atkins R, Coresh J, et al. Chronic kidney disease as a global public health problem: approaches and initiatives - a position statement from kidney disease improving global outcomes. Kidney Int. 2007;72(3):247–259. doi: 10.1038/sj.ki.5002343.
    1. CARDIA Salt Use and Overall Diet Questionnaire. Birmingham: CARDIA Coordinating Center; 2017. Available from: . [Accessed 1 Sep 2017].
    1. WHO . WHO Physical Activity Fact Sheet. Geneva: WHO; 2017.
    1. Ridker PM, Bassuk SS, Toth PP. C-reactive protein and risk of cardiovascular disease: evidence and clinical application. Curr Atheroscler Rep. 2003;5(5):341–349. doi: 10.1007/s11883-003-0004-3.
    1. Roberts WL, CDC, Aha CDC/AHA workshop on markers of inflammation and cardiovascular disease: application to clinical and public health practice: laboratory tests available to assess inflammation--performance and standardization: a background paper. Circulation. 2004;110(25):e572–e576. doi: 10.1161/01.CIR.0000148986.52696.07.
    1. Thygesen K, Alpert JS, Jaffe AS, et al. Third universal definition of myocardial infarction. Eur Heart J. 2012;33(20):2551–2567. doi: 10.1093/eurheartj/ehs184.
    1. Luepker RV, Apple FS, Christenson RH, et al. Case definitions for acute coronary heart disease in epidemiology and clinical research studies. Circulation. 2003;108(20):2543–2549. doi: 10.1161/01.CIR.0000100560.46946.EA.
    1. Prineas R, Crow R, Blackburn H. The Minnesota code manual of electrocardiographic findings. Littleton: John Wright-PSG. Inc; 1982.
    1. Ho KK, Pinsky JL, Kannel WB, et al. The epidemiology of heart failure: the Framingham study. J Am Coll Cardiol. 1993;22(4):A6–A13. doi: 10.1016/0735-1097(93)90455-A.
    1. Lang RM, Badano LP, Mor-Avi V, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015;16(3):233–270. doi: 10.1093/ehjci/jev014.
    1. Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541.
    1. Centers for Disease Control and Prevention . CDC Website Blood Level Information. 2017.
    1. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–706. doi: 10.1093/aje/kwh090.
    1. Lumley T. Complex surveys: a guide to analysis using R. Wiley; 2010.
    1. Friedman M. Piecewise exponential models for survival data with covariates. Ann Stat. 1982;10(1):101–13.
    1. Royston P, Parmar MK. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat Med. 2002;21(15):2175–2197. doi: 10.1002/sim.1203.
    1. Kovalchik SA, Pfeiffer RM. Population-based absolute risk estimation with survey data. Lifetime Data Anal. 2014;20(2):252–275. doi: 10.1007/s10985-013-9258-4.
    1. Thompson ME. Using longitudinal complex survey data. Annual Rev Stat Appl. 2015;2:305–320. doi: 10.1146/annurev-statistics-010814-020403.
    1. Miettinen O. Proportion of disease caused or prevented by a given exposure, trait or intervention. Am J Epidemiol. 1974;99:325–332. doi: 10.1093/oxfordjournals.aje.a121617.
    1. Reif LK, Rivera V, Louis B, et al. Community-based HIV and health testing for high-risk adolescents and youth. AIDS Patient Care STDs. 2016;30(8):371–378. doi: 10.1089/apc.2016.0102.
    1. Rivera VR, Jean-Juste MA, Gluck SC, Reeder HT, Sainristil J, Julma P, Peck M, Joseph P, Ocheretina O, Perodin C, Secours R. Diagnostic yield of active case finding for tuberculosis and HIV at the household level in slums in Haiti. Int J Tuberc Lung Dis. 2017;21(11):1140–6.
    1. Rouzier V, Severe K, Juste MA, et al. Cholera vaccination in urban Haiti. Am J Trop Med Hyg. 2013;89(4):671–681. doi: 10.4269/ajtmh.13-0171.
    1. GHESKIO Centers . Cardiovascular Disease in Haiti: Establishign Hypertension Primary Care Guidelines and Initiating a Longitudinal Cohort Study. Port au Prince: Cornell-GHESKIO; 2019. pp. 1–12.

Source: PubMed

Подписаться