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Birhanu MM, Zengin A, Evans RG, Joshi R, Kalyanram K, Kartik K, Danaei G, Barr E, Riddell MA, Suresh O, Srikanth VK, Arabshahi S, Thomas N, Thrift AG. Comparison of the performance of cardiovascular risk prediction tools in rural India: the Rishi Valley Prospective Cohort Study. Eur J Prev Cardiol 2024; 31:723-731. [PMID: 38149975 DOI: 10.1093/eurjpc/zwad404] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/07/2023] [Accepted: 12/20/2023] [Indexed: 12/28/2023]
Abstract
AIMS We compared the performance of cardiovascular risk prediction tools in rural India. METHODS AND RESULTS We applied the World Health Organization Risk Score (WHO-RS) tools, Australian Risk Score (ARS), and Global risk (Globorisk) prediction tools to participants aged 40-74 years, without prior cardiovascular disease, in the Rishi Valley Prospective Cohort Study, Andhra Pradesh, India. Cardiovascular events during the 5-year follow-up period were identified by verbal autopsy (fatal events) or self-report (non-fatal events). The predictive performance of each tool was assessed by discrimination and calibration. Sensitivity and specificity of each tool for identifying high-risk individuals were assessed using a risk score cut-off of 10% alone or this 10% cut-off plus clinical risk criteria of diabetes in those aged >60 years, high blood pressure, or high cholesterol. Among 2333 participants (10 731 person-years of follow-up), 102 participants developed a cardiovascular event. The 5-year observed risk was 4.4% (95% confidence interval: 3.6-5.3). The WHO-RS tools underestimated cardiovascular risk but the ARS overestimated risk, particularly in men. Both the laboratory-based (C-statistic: 0.68 and χ2: 26.5, P = 0.003) and non-laboratory-based (C-statistic: 0.69 and χ2: 20.29, P = 0.003) Globorisk tools showed relatively good discrimination and agreement. Addition of clinical criteria to a 10% risk score cut-off improved the diagnostic accuracy of all tools. CONCLUSION Cardiovascular risk prediction tools performed disparately in a setting of disadvantage in rural India, with the Globorisk performing best. Addition of clinical criteria to a 10% risk score cut-off aids assessment of risk of a cardiovascular event in rural India. LAY SUMMARY In a cohort of people without prior cardiovascular disease, tools used to predict the risk of cardiovascular events varied widely in their ability to accurately predict who would develop a cardiovascular event.The Globorisk, and to a lesser extent the ARS, tools could be appropriate for this setting in rural India.Adding clinical criteria, such as sustained high blood pressure, to a cut-off of 10% risk of a cardiovascular event within 5 years could improve identification of individuals who should be monitored closely and provided with appropriate preventive medications.
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Affiliation(s)
- Mulugeta Molla Birhanu
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
| | - Roger G Evans
- Cardiovascular Disease Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Melbourne, Victoria, Australia
- Pre-clinical Critical Care Unit, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Rohina Joshi
- Faculty of Medicine, School of Population Health, University of New South Wales, Sydney, Australia
- George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
- George Institute for Global Health, New Delhi, India
| | - Kartik Kalyanram
- Rishi Valley Rural Health Centre, Madanapalle, Chittoor District, Andhra Pradesh, India
| | - Kamakshi Kartik
- Rishi Valley Rural Health Centre, Madanapalle, Chittoor District, Andhra Pradesh, India
| | - Goodarz Danaei
- Department of Global Health and Population and Epidemiology, Harvard University T H Chan School of Public Health, Boston, MA, USA
| | - Elizabeth Barr
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Michaela A Riddell
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
| | - Oduru Suresh
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
- Rishi Valley Rural Health Centre, Madanapalle, Chittoor District, Andhra Pradesh, India
| | - Velandai K Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Frankston, Victoria, Australia
- National Centre for Healthy Ageing, Monash University and Peninsual Health, Melbourne, Victoria, Australia
| | - Simin Arabshahi
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
| | - Nihal Thomas
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, Tamil Nadu, India
| | - Amanda G Thrift
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 5, Block E, Monash Medical Centre, 246 Clayton Road, Melbourne, Victoria 3168, Australia
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Datta BK, Ansa BE, Saucier A, Pandey A, Haider MR, Puranda R, Adams M, Coffin J. Child Marriage and Cardiovascular Risk: An Application of the Non-laboratory Framingham Risk Score. High Blood Press Cardiovasc Prev 2024; 31:55-63. [PMID: 38285323 DOI: 10.1007/s40292-023-00620-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/22/2023] [Indexed: 01/30/2024] Open
Abstract
INTRODUCTION Child marriage, defined as marriage before the age of 18 years, is a precocious transition from adolescence to adulthood, which may take a long-term toll on health. AIM This study aims to assess whether child marriage was associated with added risk of adverse cardiovascular outcomes in a nationally representative sample of Indian adults. METHODS Applying the non-laboratory-based Framingham algorithm to data on 336,953 women aged 30-49 years and 49,617 men aged 30-54 years, we estimated individual's predicted heart age (PHA). Comparing the PHA with chronological age (CA), we categorized individuals in four groups: (i) low PHA: PHA < CA, (ii) equal PHA: PHA = CA (reference category), (iii) high PHA: PHA > CA by at most 4 years, and (iv) very high PHA: PHA > CA by 5 + years. We estimated multivariable multinomial logistic regressions to obtain relative risks of respective categories for the child marriage indicator. RESULTS We found that women who were married in childhood had 1.06 (95% CI 1.01-1.10) and 1.22 (95% CI 1.16-1.27) times higher adjusted risks of having high and very high PHA, respectively, compared to women who were married as adults. For men, no differential risks were found between those who were married as children and as adults. These results were generally robust across various socioeconomic sub-groups. CONCLUSIONS These findings add to the relatively new and evolving strand of literature that examines the role of child marriage on later life chronic health outcomes and provide important insights for public health policies aimed at improving women's health and wellbeing.
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Affiliation(s)
- Biplab Kumar Datta
- Institute of Public and Preventive Health, Augusta University, 1120 15th St., CJ 2300, Augusta, GA, 30912, USA.
- Department of Health Management, Economics and Policy, Augusta University, Augusta, GA, USA.
| | - Benjamin E Ansa
- Institute of Public and Preventive Health, Augusta University, 1120 15th St., CJ 2300, Augusta, GA, 30912, USA
- Department of Health Management, Economics and Policy, Augusta University, Augusta, GA, USA
| | - Ashley Saucier
- Department of Family Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Ajay Pandey
- Department of Biological Sciences, Augusta University, Augusta, GA, USA
| | - Mohammad Rifat Haider
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA
| | - Racquel Puranda
- Department of Family Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Malika Adams
- Department of Family Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Janis Coffin
- Department of Family Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
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Moran AE, Gupta R. Implementation of Global Hearts Hypertension Control Programs in 32 Low- and Middle-Income Countries: JACC International. J Am Coll Cardiol 2023; 82:1868-1884. [PMID: 37734459 DOI: 10.1016/j.jacc.2023.08.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 08/17/2023] [Indexed: 09/23/2023]
Abstract
In 2017, the World Health Organization (WHO) and Resolve to Save Lives partnered with country governments and other stakeholders to design, test, and scale up the WHO HEARTS hypertension services package in 32 low- and middle-income countries. Facility-based HEARTS performance indicators included number of patients enrolled, number treated and with blood pressure controlled, number who missed a scheduled follow-up visit, and number lost to follow-up. By 2022, HEARTS hypertension control programs treated 12.2 million patients in 165,000 primary care facilities. Hypertension control was 38% (median 48%; range 5%-86%). In 4 HEARTS countries using the same digital health information system, facility-based control improved from 18% at baseline to 46% in 48 months. At the population level, median estimated population-based hypertension control was 11.0% of all hypertension patients (range 2.0%-34.7%). The Global Hearts experience of implementing WHO HEARTS demonstrates the feasibility of controlling hypertension in low- and middle-income country primary care settings.
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Affiliation(s)
- Andrew E Moran
- Resolve to Save Lives, New York, New York, USA; Columbia University Irving Medical Center, New York, New York, USA.
| | - Reena Gupta
- Resolve to Save Lives, New York, New York, USA; University of California-San Francisco, San Francisco, California, USA
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Dehghan A, Ahmadnia Motlagh S, Khezri R, Rezaei F, Aune D. A comparison of laboratory-based and office-based Framingham risk scores to predict 10-year risk of cardiovascular diseases: a population-based study. J Transl Med 2023; 21:687. [PMID: 37789412 PMCID: PMC10546649 DOI: 10.1186/s12967-023-04568-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 09/23/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Two versions of Framingham's 10-year risk score are defined for cardiovascular diseases, namely laboratory-based and office-based models. The former is mainly employed in high-income countries, but unfortunately, it is not cost-effective or practical to utilize it in countries with poor facilities. Therefore, the present study aims to identify the agreement and correlation between laboratory-based and office-based Framingham models. METHODS Using laboratory-based and office-based Framingham models, this cross-sectional study used data from 8944 participants without a history of CVDs and stroke at baseline in the Fasa cohort study to predict the 10-year risk of CVDs. The laboratory-based model included age, sex, diabetes, smoking status, systolic blood pressure (SBP), treatment of hypertension, total cholesterol, and high-density lipoprotein (HDL); and the office-based model included age, sex, diabetes, smoking status, SBP, treatment of hypertension, and body mass index (BMI). The agreement between risk categories of laboratory-based and office-based Framingham models (low [< 10%], moderate [from 10 to < 20%], high [≥ 20%]) was assessed by kappa coefficients and percent agreement. Then, the correlation between the risk scores was estimated using correlation coefficients and illustrated using scatter plots. Finally, agreements, correlation coefficient, and scatter plots for laboratory-based and office-based Framingham models were analyzed by stratified Framingham risk score factors including sex, age, BMI categories, hypertension, smoking, and diabetes status. RESULTS The two models showed substantial agreement at 89.40% with a kappa coefficient of 0.75. The agreement was substantial in all men (kappa = 0.73) and women (kappa = 0.72), people aged < 60 years (kappa = 0.73) and aged ≥ 60 years (kappa = 0.69), smokers (kappa = 0.70) and non-smokers (kappa = 0.75), people with hypertension (kappa = 0.73) and without hypertension (kappa = 0.75), diabetics (kappa = 0.71) and non-diabetics (kappa = 0.75), people with normal BMI (kappa = 0.75) and people with overweight and obesity (kappa = 0.76). There was also a very strong positive correlation (r ≥ 0.92) between laboratory-based and office-based models in terms of age, sex, BMI, hypertension, smoking status and diabetes status. CONCLUSIONS The current study showed that there was a substantial agreement between the office-based and laboratory-based models, and there was a very strong positive correlation between the risk scores in the entire population as well across subgroups. Although differences were observed in some subgroups, these differences were small and not clinically relevant. Therefore, office-based models are suitable in low-middle-income countries (LMICs) with limited laboratory resources and facilities because they are more convenient and accessible. However, the validity of the office-based model must be assessed in longitudinal studies in LMICs.
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Affiliation(s)
- Azizallah Dehghan
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | | | - Rozhan Khezri
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Rezaei
- Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran.
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Oslo New University College, Oslo, Norway
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Loganathan V, Subramanian M, Sekhar Kar S. Ten-Year Risk for Developing Cardiovascular Disease Among Older Adults and Elderly in India: A Secondary Analysis of Wave-1 of Longitudinal Aging Study in India. Cureus 2023; 15:e46772. [PMID: 37954709 PMCID: PMC10632738 DOI: 10.7759/cureus.46772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2023] [Indexed: 11/14/2023] Open
Abstract
Background Cardiovascular disease (CVD) risk stratification is recommended by the World Health Organization (WHO) for effective CVD management in primary healthcare settings. Using the 2019 updated WHO CVD risk charts, we estimated the 10-year risk for developing fatal and non-fatal CVD among participants of the Longitudinal Aging Study in India (LASI). Methods We conducted secondary data analysis using the Wave-1 dataset of LASI. Analysis was performed in Stata software (version 14.1; StataCorp LLC, College Station, Texas) after applying sample weights. Ten-year CVD risk was estimated using a non-laboratory-based CVD risk chart. Logistic regression analysis was performed to determine the association between socio-demographic characteristics and 10% or more 10-year CVD risk. Results The weighted prevalence of 10% or more 10-year CVD risk was 24.70% (95% CI: 23.94%-25.47%). Participants who were currently working, living alone, and widowed had 3.63, 1.42, and 1.59 times increased odds of having a high 10-year CVD risk, respectively, after adjusting for other variables. Conclusion About a quarter of older adults and the elderly population in India have a 10-year risk for a fatal or non-fatal cardiovascular event of 10% or more, as estimated using a non-laboratory based chart.
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Affiliation(s)
- Vignesh Loganathan
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND
| | - Muthathal Subramanian
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, IND
| | - Sitanshu Sekhar Kar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND
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Rahim FO, Jain B, Bloomfield GS, Jain P, Rugakingira A, Thielman NM, Sakita F, Hertz JT. A holistic framework to integrate HIV and cardiovascular disease care in sub-Saharan Africa. AIDS 2023; 37:1497-1502. [PMID: 37199570 DOI: 10.1097/qad.0000000000003604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Affiliation(s)
- Faraan O Rahim
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Bhav Jain
- Massachusetts Institute of Technology, Cambridge, Massachusetts
- Stanford University School of Medicine, Stanford, California
| | - Gerald S Bloomfield
- Duke Global Health Institute, Duke University, Durham, North Carolina
- Department of Internal Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Pankaj Jain
- Highmark Health, Pittsburgh
- Indiana University of Pennsylvania, Indiana, Pennsylvania, USA
| | | | - Nathan M Thielman
- Duke Global Health Institute, Duke University, Durham, North Carolina
- Stanford University School of Medicine, Stanford, California
| | - Francis Sakita
- Kilimanjaro Christian Medical Centre
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Julian T Hertz
- Duke Global Health Institute, Duke University, Durham, North Carolina
- Department of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, USA
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Okop K, Delobelle P, Lambert EV, Getachew H, Howe R, Kedir K, Niyibizi JB, Bavuma C, Kasenda S, Crampin AC, King AC, Puoane T, Levitt NS. Implementing and Evaluating Community Health Worker-Led Cardiovascular Disease Risk Screening Intervention in Sub-Saharan Africa Communities: A Participatory Implementation Research Protocol. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:ijerph20010298. [PMID: 36612620 PMCID: PMC9819933 DOI: 10.3390/ijerph20010298] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 05/27/2023]
Abstract
The increasing burden of non-communicable diseases (NCDs), particularly cardiovascular diseases (CVD) in low- and middle-income countries (LMICs) poses a considerable threat to public health. Community-driven CVD risk screening, referral and follow-up of those at high CVDs risk is essential to supporting early identification, treatment and secondary prevention of cardiovascular events such as stroke and myocardial infarction. This protocol describes a multi-country study that aims to implement and evaluate a community health worker (CHW)-led CVD risk screening programme to enhance referral linkages within the local primary care systems in sub-Saharan Africa (SSA), using a participatory implementation science approach. The study builds upon a prior community-driven multicentre study conducted by the Collaboration for Evidence-based Health Care and Public Health in Africa (CEBHA+). This is a participatory implementation research. The study will leverage on the CVD risk citizen science pilot studies conducted in the four selected CEBHA+ project countries (viz. Ethiopia, Rwanda, Malawi, and South Africa). Through planned engagements with communities and health system stakeholders, CHWs and lay health worker volunteers will be recruited and trained to screen and identify persons that are at high risk of CVD, provide referral services, and follow-up at designated community health clinics. In each country, we will use a multi-stage random sampling to select and then screen 1000 study participants aged 35-70 years from two communities (one rural and one urban). Screening will be done using a simple validated non-laboratory-based CVD risk assessment mobile application. The RE-AIM model will be used in evaluating the project implementation outcomes, including reach, fidelity, adoption and perceived effectiveness. Developing the capacities of CHWs and lay health worker volunteers in SSA to support population-based, non-invasive population-based CVD risk prevention has the potential to impact on early identification, treatment and secondary prevention of CVDs in often under-resourced communities. Using a participatory research approach to implementing mobile phone-based CHW-led CVD risk screening, referral and follow-up in SSA will provide the evidence needed to determine the effectiveness of CVD risk screening and the potential for scaling up in the wider region.
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Affiliation(s)
- Kufre Okop
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town 7700, South Africa
- Centre for Social Science Research, University of Cape Town, Cape Town 7700, South Africa
| | - Peter Delobelle
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town 7700, South Africa
- Department of Public Health, Vrije Universiteit Brussel, 1090 Brussel, Belgium
| | - Estelle Victoria Lambert
- UCT Research Centre for Health through Physical Activity, Lifestyle and Sport, Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa
| | | | - Rawleigh Howe
- Armauer Hansen Research Institute (AHRI), Addis Ababa P.O. Box 1005, Ethiopia
| | - Kiya Kedir
- Armauer Hansen Research Institute (AHRI), Addis Ababa P.O. Box 1005, Ethiopia
| | | | - Charlotte Bavuma
- School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Kigali 4285, Rwanda
| | - Stephen Kasenda
- Malawi Epidemiology and Intervention Research Unit, Lilongwe P.O. Box 46, Malawi
| | - Amelia C. Crampin
- Malawi Epidemiology and Intervention Research Unit, Lilongwe P.O. Box 46, Malawi
| | - Abby C. King
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Thandi Puoane
- School of Public Health, University of the Western Cape, Cape Town 7535, South Africa
| | - Naomi S. Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town 7700, South Africa
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Kentoffio K, Durstenfeld MS, Siedner MJ, Kityo C, Erem G, Ssinabulya I, Ghoshhajra B, Bittencourt MS, Longenecker CT. Sex-specific performance of the ASCVD pooled cohort equation risk calculator as a correlate of coronary artery calcium in Kampala, Uganda. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2022; 14:200136. [PMID: 36060290 PMCID: PMC9434411 DOI: 10.1016/j.ijcrp.2022.200136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/03/2022] [Accepted: 05/19/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The prevalence of cardiovascular disease (CVD) is rising in Sub-Saharan Africa, but it is not known whether current risk assessment tools predict coronary atherosclerosis in the region. Furthermore, sex-specific performance and interaction with HIV serostatus has not been well studied. METHODS This cross-sectional study compared ASCVD risk scores and detectable coronary artery calcium (CAC>0) by sex in Kampala, Uganda (n = 200). The cohort was enriched for persons living with HIV, and all participants had at least one CVD risk factor. We fit log binomial regression models and constructed ROC curves to assess the correlation between ASCVD scores and CAC>0. RESULTS The mean age was 56. 62% were female and 50% of both men and women were living with HIV. The median 10-year ASCVD risk score was significantly higher in men (11.0%, IQR 7.6-19.4%) than in women (5.1%, IQR 3.2-8.7%), although the prevalence of CAC>0 was similar (8.1 vs 10.5%, p = 0.63). Each 10% increase in ASCVD risk was associated with increased risk of CAC>0 in men (PR 1.59, 95% CI 1.00-2.55, p = 0.05) but not women (PR 1.15, 95% CI 0.44-3.00, p = 0.77). ROC curves demonstrated an AUC of 0.57 for women vs 0.70 for men. Adjustment for HIV serostatus improved the predictive value of ASCVD in women only (AUC 0.78, p = 0.02). CONCLUSIONS ASCVD risk score did not correlate with the presence of CAC in women. When HIV status was added to the ASCVD risk score, correlation with CAC was improved in women but not in men.
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Affiliation(s)
- Katherine Kentoffio
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew S. Durstenfeld
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Mark J. Siedner
- Massachusetts General Hospital, Center for Global Health, Boston, MA, USA
- Mbarara University of Science and Technology, Mbarara, Uganda
- Harvard Medical School, Boston, MA, USA
| | - Cissy Kityo
- HIV Medicine, Joint Clinical Research Centre, Kampala, Uganda
| | - Geoffrey Erem
- Department of Radiology, St Francis Hospital Nsambya, Kampala, Uganda
- Departments of Radiology and Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Isaac Ssinabulya
- Departments of Radiology and Medicine, Makerere University College of Health Sciences, Kampala, Uganda
- Department of Cardiology, Uganda Heart Institute, Kampala, Uganda
| | - Brian Ghoshhajra
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Marcio S. Bittencourt
- Center for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Chris T. Longenecker
- Department of Global Health and Division of Cardiology, University of Washington, Seattle, WA, USA
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Hertz JT, Sakita FM, Kweka GL, Loring Z, Thielman NM, Temu G, Bartlett JA. Healthcare-seeking behaviour, barriers to care and predictors of symptom improvement among patients with cardiovascular disease in northern Tanzania. Int Health 2022; 14:373-380. [PMID: 31840178 PMCID: PMC9248051 DOI: 10.1093/inthealth/ihz095] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 09/04/2019] [Accepted: 09/10/2019] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Little is known about healthcare-seeking behaviour and barriers to care for cardiovascular disease (CVD) in sub-Saharan Africa. METHODS Emergency department patients in Tanzania with acute CVD were prospectively enrolled. Questionnaires were administered at enrollment and 30 d later. RESULTS Of 241 patients, 186 (77.2%) had visited another facility for the same illness episode (median symptom duration prior to presentation was 7 d) and 82 (34.0%) reported that they were initially unaware of the potential seriousness of their symptoms. Of the 208 (86.3%) patients completing follow-up, 16 (7.7%) had died, 38 (18.3%) had visited another facility for persistent symptoms, 99 (47.6%) felt they understood their diagnosis, 87 (41.8%) felt they understood their treatment and 11 (7.8%) could identify any of their medications. Predictors of 30 d survival with symptom improvement included medication compliance (p<0.001), understanding the diagnosis (p=0.007), understanding the treatment (p<0.001) and greater CVD knowledge (p=0.008). CONCLUSIONS Patients with CVD in Tanzania usually visit multiple facilities for the same illness episode, typically after prolonged delays. Only a minority understand their diagnosis and treatment, and such understanding is correlated with survival with symptom improvement. Patient-centred interventions are needed to improve the quality of cardiovascular care in Tanzania.
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Affiliation(s)
- Julian T Hertz
- Division of Emergency Medicine, Department of Surgery, Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710, USA
- Duke Global Health Institute, 310 Trent Drive, Durham, NC 27710, USA
| | - Francis M Sakita
- Department of Emergency Medicine, Kilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania
| | - Godfrey L Kweka
- Kilimanjaro Christian Research Institute, PO Box 2236, Moshi, Tanzania
| | - Zak Loring
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, 2301 Erwin Rd, Durham, NC 27710, USA
- Duke Clinical Research Institute, 300 W Morgan St, Durham, NC 27701, USA
| | - Nathan M Thielman
- Duke Global Health Institute, 310 Trent Drive, Durham, NC 27710, USA
| | - Gloria Temu
- Department of Medicine, Kilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania
| | - John A Bartlett
- Duke Global Health Institute, 310 Trent Drive, Durham, NC 27710, USA
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Che Nawi CMNH, Omar MA, Keegan T, Yu YP, Musa KI. The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:656. [PMID: 35630073 PMCID: PMC9143882 DOI: 10.3390/medicina58050656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022]
Abstract
Background and Objectives: Globorisk is a well-validated risk prediction model that predicts cardiovascular disease (CVD) in the national population of all countries. We aim to apply the Globorisk calculator and provide the overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year risk for CVD among Malaysian adults. Materials and Methods: Using Malaysia’s risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: low risk (<10% risk for CVD), high risk A (≥10%), high risk B (≥20%), and high risk C (≥30%). Results: Results were reported for all participants and were then stratified by sex, ethnicity, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12), and 0.11 (SD = 0.09), respectively. Conclusions: There were substantial differences in terms of the sex-, ethnicity- and state-specific Globorisk risk scores obtained.
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Affiliation(s)
| | - Mohd Azahadi Omar
- Sector for Biostatistics & Data Repository, National Institutes of Health, Ministry of Health, Shah Alam 40170, Selangor, Malaysia;
| | - Thomas Keegan
- Faculty of Health and Medicine, Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK;
| | - Yong-Poh Yu
- Redbeat Academy, AirAsia Berhad, Kuala Lumpur 50470, Selangor, Malaysia;
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia;
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11
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Opoku-Acheampong AA, Rosenkranz RR, Adhikari K, Muturi N, Logan C, Kidd T. Tools for Assessing Cardiovascular Disease Risk Factors in Underserved Young Adult Populations: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182413305. [PMID: 34948914 PMCID: PMC8707965 DOI: 10.3390/ijerph182413305] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/10/2021] [Accepted: 12/14/2021] [Indexed: 01/01/2023]
Abstract
Cardiovascular disease (CVD, i.e., disease of the heart and blood vessels) is a major cause of death globally. Current assessment tools use either clinical or non-clinical factors alone or in combination to assess CVD risk. The aim of this review was to critically appraise, compare, and summarize existing non-clinically based tools for assessing CVD risk factors in underserved young adult (18–34-year-old) populations. Two online electronic databases—PubMed and Scopus—were searched to identify existing risk assessment tools, using a combination of CVD-related keywords. The search was limited to articles available in English only and published between January 2008 and January 2019. Of the 10,383 studies initially identified, 67 were eligible. In total, 5 out of the 67 articles assessed CVD risk in underserved young adult populations. A total of 21 distinct CVD risk assessment tools were identified; six of these did not require clinical or laboratory data in their estimation (i.e., non-clinical). The main non-clinically based tools identified were the Heart Disease Fact Questionnaire, the Health Beliefs Related to CVD-Perception measure, the Healthy Eating Opinion Survey, the Perception of Risk of Heart Disease Scale, and the WHO STEPwise approach to chronic disease factor surveillance (i.e., the STEPS instrument).
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Affiliation(s)
- Audrey A. Opoku-Acheampong
- Department of Food, Nutrition, Dietetics, and Health, Kansas State University, Manhattan, KS 66506, USA; (A.A.O.-A.); (R.R.R.)
| | - Richard R. Rosenkranz
- Department of Food, Nutrition, Dietetics, and Health, Kansas State University, Manhattan, KS 66506, USA; (A.A.O.-A.); (R.R.R.)
| | - Koushik Adhikari
- Department of Food Science and Technology, College of Agricultural & Environmental Sciences, University of Georgia, Griffin, GA 30223, USA;
| | - Nancy Muturi
- A. Q. Miller School of Journalism and Mass Communication, Kansas State University, Manhattan, KS 66506, USA;
| | - Cindy Logan
- Academic Services, Hale Library, Kansas State University, Manhattan, KS 66506, USA;
| | - Tandalayo Kidd
- Department of Food, Nutrition, Dietetics, and Health, Kansas State University, Manhattan, KS 66506, USA; (A.A.O.-A.); (R.R.R.)
- Correspondence: ; Tel.: +1-(785)-532-0154
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12
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An office-based cardiovascular prediction model developed and validated in cohort studies of a middle-income country: Developing and validating an office-based model to predict cardiovascular mortality using cohorts of a middle-income country. J Clin Epidemiol 2021; 146:1-11. [PMID: 34920114 DOI: 10.1016/j.jclinepi.2021.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/25/2021] [Accepted: 12/09/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Prediction models for cardiovascular disease (CVD) mortality come from high-income countries, comprising laboratory measurements not suitable for resource-limited countries. This study aims to develop and validate a non-laboratory model to predict CVD mortality in a middle-income setting. STUDY DESIGN AND SETTING We used data of population aged 40-80 years from three cohort studies: Tehran Lipid and Glucose Study (n=5160), Isfahan Cohort Study (n=4350), and Golestan Cohort Study (n=45,500). Using Cox proportional hazard models, we developed prediction models for men and women, separately. Cross-validation and bootstrapping procedures were applied. The models' discrimination and calibration were assessed by concordance statistic (C-index) and calibration plot, respectively. We calculated the models' sensitivity, specificity and net benefit fraction in a threshold probability of 5%. RESULTS The 10-year CVD mortality risks were 5.1% (95%CI: 4.8-5.5) in men and 3.1% (95%CI: 2.9%-3.3%) in women. The optimism-corrected performance of the model was c=0.774 in men and c=0.798 in women. The models showed good calibration in both sexes, with a predicted-to-observed ratio of 1.07 in men and 1.09 in women. The sensitivity was 0.76 in men and 0.66 in women. The net benefit fraction was higher in men compared to women (0.46 vs. 0.35). CONCLUSION A low-cost model can discriminate well between low- and high-risk individuals, and can be used for screening in low-middle income countries.
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13
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Prattipati S, Mlangi JJ, Tarimo TG, Kweka GL, Thielman NM, Bettger JP, Mmbaga BT, Sakita FM, Hertz JT. Knowledge, attitudes, and preventive practices regarding ischemic heart disease among HIV-positive individuals in northern Tanzania. Trop Med Int Health 2021; 26:1652-1658. [PMID: 34637597 PMCID: PMC11012094 DOI: 10.1111/tmi.13690] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To describe knowledge, attitudes, and practices (KAP) regarding ischemic heart disease (IHD) among adults with HIV in Tanzania. METHODS Adults presenting for routine HIV care at a clinic in northern Tanzania were consecutively enrolled and were administered a standardised KAP survey. For each participant, an IHD knowledge score was calculated by tallying correct answers to the IHD knowledge questions, with maximum score 10. Individual 5-year risk of cardiovascular event was calculated using the Harvard NHANES model. Associations between participant characteristics and IHD knowledge scores were assessed via Welch's t-test. RESULTS Among the 500 participants, the mean (SD) age was 45.3 (11.4) years and 139 (27.8%) were males. Most participants recognised high blood pressure (n = 313, 62.6%) as a risk factor for IHD, but fewer identified diabetes as a risk factor (n = 241, 48.2%), or knew that aspirin reduces the risk of a secondary cardiovascular event (n = 73, 14.6%). Higher IHD knowledge score was associated with post-primary education (mean 6.27 vs. 5.35, p = 0.001) and with >10% 5-year risk of cardiovascular event (mean 5.97 vs. 5.41, p = 0.045). Most participants believed there were things they could do to reduce their chances of having a heart attack (n = 361, 72.2%). While participants indicated that they adhered to their prescribed medications (n = 488, 97.6%), only 106 (21.2%) attended regular health check-ups. CONCLUSION Efforts are needed to improve gaps in IHD knowledge, and increase uptake of cardiovascular preventative practices among Tanzanian adults with HIV.
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Affiliation(s)
| | | | | | | | - Nathan M Thielman
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
- Department of Internal Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Janet P Bettger
- Department of Orthopaedic Surgery, Duke University, Durham, North Carolina, USA
- Duke-Margolis Center for Health Policy, Duke University, Washington, District of Colombia, USA
| | - Blandina T Mmbaga
- Kilimanjaro Christian Medical Centre, Moshi, Tanzania
- Kilimanjaro Christian Medical Centre University College, Moshi, Tanzania
- Kilimanjaro Christian Research Institute, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Francis M Sakita
- Kilimanjaro Christian Medical Centre, Moshi, Tanzania
- Kilimanjaro Christian Medical Centre University College, Moshi, Tanzania
| | - Julian T Hertz
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
- Division of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, USA
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14
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Koletsi D, Iliadi A, Tzanetakis GN, Vavuranakis M, Eliades T. Cardiovascular Disease and Chronic Endodontic Infection. Is There an Association? A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9111. [PMID: 34501699 PMCID: PMC8430722 DOI: 10.3390/ijerph18179111] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 01/09/2023]
Abstract
The aim of the present study was to systematically assess existing evidence on the possible association between chronic endodontic infections and cardiovascular disease (CVD). An electronic database search was implemented until 2 October 2020. The main outcome was risk of CVD diagnosis. Risk of bias was assessed through the ROBINS-I tool, while random effects meta-analyses were conducted. The quality of the evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation. Twenty-one studies were eligible for inclusion, while 10 were included in the quantitative synthesis. Risk for CVD diagnosis in patients with chronic endodontic infection was 1.38 times those without infection (RR = 1.38; 95% CIs: 1.06, 1.80; p = 0.008). Risk of bias ranged from moderate to serious, while the quality of the evidence was graded as very low. Indications for an identified association between chronic endodontic infection and CVDs do exist; however, they are not grounded on high-quality evidence at present. Further research for an establishment of an association based on temporal sequence of the two entities and on unbiased well-conducted cohort studies would be highly valued.
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Affiliation(s)
- Despina Koletsi
- Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, CH-8032 Zurich, Switzerland;
| | - Anna Iliadi
- Department of Dental Biomaterials, School of Dentistry, National and Kapodistrian University of Athens, 10679 Athens, Greece;
| | - Giorgos N. Tzanetakis
- Department of Endodontics, School of Dentistry, National and Kapodistrian University of Athens, 10679 Athens, Greece;
| | - Manolis Vavuranakis
- First Cardiology Department, National and Kapodistrian University of Athens, Hippocration Hospital, 10679 Athens, Greece;
| | - Theodore Eliades
- Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, CH-8032 Zurich, Switzerland;
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15
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Cisse K, Samadoulougou S, Ouedraogo M, Bonnechère B, Degryse JM, Kouanda S, Kirakoya-Samadoulougou F. Geographic and Sociodemographic Disparities in Cardiovascular Risk in Burkina Faso: Findings from a Nationwide Cross-Sectional Survey. Risk Manag Healthc Policy 2021; 14:2863-2876. [PMID: 34262373 PMCID: PMC8274528 DOI: 10.2147/rmhp.s301049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/02/2021] [Indexed: 12/04/2022] Open
Abstract
Background Cardiovascular disease (CVD) risk assessment is a critical step in the current approach to the primary prevention of CVD, particularly in low-income countries such as Burkina Faso. In this study, we aimed to assess the geographic and sociodemographic disparities of the ten-year cardiovascular risk in Burkina Faso. Methods We conducted a secondary analysis of the data from the first nationwide survey using the World Health Organization (WHO) STEPwise approach. Ten-year cardiovascular risk was determined using the WHO 2019 updated risk chart (WHO risk) as main outcome, and the Framingham risk score (FRS) and the Globorisk chart for secondary outcomes. We performed a modified Poisson regression model using a generalized estimating equation to examine the association between CVD risk and sociodemographic characteristics. Results A total of 3081 participants aged 30 to 64 years were included in this analysis. The overall age and sex-standardized mean of absolute ten-year cardiovascular risk assessed using the WHO risk chart was 2.5% (95% CI: 2.4–2.6), ranging from 2.3% (95% CI: 2.2–2.4) in Centre Est to 3.0% (95% CI: 2.8–3.2) in the Centre region. It was 4.6% (95% CI: 4.4–4.8) for FRS and 4.0% (95% CI: 3.8–4.1) for Globorisk. Regarding categorized CVD risk (absolute risk ≥10%), we found out that the age and sex-standardized prevalence of elevated risk was 1.7% (95% CI: 1.3–2.1) for WHO risk, 10.4% (95% CI: 9.6–11.2) for FRS, and 5.9% (95% CI: 5.1–6.6) for Globorisk. For all of the three risk scores, elevated CVD risk was associated with increasing age, men, higher education, urban residence, and health region (Centre). Conclusion We found sociodemographic and geographic inequalities in the ten-year CVD risk in Burkina Faso regardless of risk score used. Therefore, population-wide interventions are needed to improve detection and management of adult in the higher CVD risk groups in Burkina Faso.
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Affiliation(s)
- Kadari Cisse
- Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium.,Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso
| | - Sekou Samadoulougou
- Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Centre, Quebec, G1V 4G5, Canada
| | - Mady Ouedraogo
- Institut National de la Statistique et de la Démographique, Ouagadougou, Burkina Faso
| | - Bruno Bonnechère
- Department of Psychiatry, University of Cambridge, Cambridge, United-Kingdom
| | - Jean-Marie Degryse
- Institut de Recherche Santé et Société, UCLouvain, Bruxelles, Belgium.,Department of Public Health and Primary Care, KULeuven, Leuven, Belgium
| | - Seni Kouanda
- Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.,Institut Africain de Santé Publique, Ouagadougou, Burkina Faso
| | - Fati Kirakoya-Samadoulougou
- Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium
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16
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Li J, Liu F, Yang X, Cao J, Chen S, Chen J, Huang K, Shen C, Liu X, Yu L, Zhao Y, Wu X, Zhao L, Wu X, Li Y, Hu D, Huang J, Lu X. Validating World Health Organization cardiovascular disease risk charts and optimizing risk assessment in China. LANCET REGIONAL HEALTH-WESTERN PACIFIC 2021; 8:100096. [PMID: 34327424 PMCID: PMC8315380 DOI: 10.1016/j.lanwpc.2021.100096] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/05/2021] [Accepted: 01/13/2021] [Indexed: 12/23/2022]
Abstract
Background World Health Organization (WHO) released region-specific cardiovascular disease (CVD) risk prediction charts recently, but the extent to which the charts can apply to Chinese population is unknown. We aimed to validate the WHO CVD risk charts for East Asia, and evaluate their practicability combining with China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) equations among Chinese adults. Methods The China-PAR cohort with 93,234 participants aged 40–80 years was followed up during 1992–2015, including 29,337 participants from three sub-cohorts with follow-up period of over 10 years. We validated the WHO CVD risk charts using the China-PAR cohort by assessment of the predicted number of events, C index, calibration χ², and calibration plots, further elaborated the concordance between the China-PAR equations and the WHO risk charts. Findings During an average follow-up of 13•64 years, 1849 incident CVD cases were identified from 29,337 participants. Both the laboratory-based and non-laboratory-based charts overestimated CVD events by 59% and 58% in men, and by 72% and 85% in women, respectively. However, 92% of participants identified as high risk by the China-PAR equations could be successfully detected by the laboratory-based charts at the cut-off point of 10%. We also observed that the non-laboratory-based charts demonstrated the poor performance for diabetic population, with high proportion of high-risk individuals (17% for men, 31% for women) would be missed. Interpretation Although the WHO CVD risk charts for East Asia apparently overestimated CVD risk among Chinese population, they could be pragmatic pre-selection tools, as potential supplement to the China-PAR equations. The widespread use of the WHO risk charts along with the China-PAR equations might facilitate the implementation of the risk-based CVD prevention in China. Funding Full funding sources are listed at the end of the paper (see Acknowledgments).
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Affiliation(s)
- Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jie Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Shufeng Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jichun Chen
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
| | - Xianping Wu
- Center for Chronic and Non-communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Liancheng Zhao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xigui Wu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ying Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518071, China.,Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jianfeng Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.,Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China
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17
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Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J Med Syst 2020; 44:208. [DOI: 10.1007/s10916-020-01675-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 11/09/2020] [Indexed: 12/13/2022]
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18
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Lotfaliany M, Sathish T, Shaw J, Thomas E, Tapp RJ, Kapoor N, Thankappan KR, Oldenburg B. Effects of a lifestyle intervention on cardiovascular risk among high-risk individuals for diabetes in a low- and middle-income setting: Secondary analysis of the Kerala Diabetes Prevention Program. Prev Med 2020; 139:106068. [PMID: 32194098 DOI: 10.1016/j.ypmed.2020.106068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/09/2020] [Accepted: 03/14/2020] [Indexed: 11/19/2022]
Abstract
We aimed to examine whether a lifestyle intervention was effective in reducing cardiovascular disease (CVD) risk in individuals at high-risk of developing diabetes in a low- and middle-income setting. The Kerala Diabetes Prevention Program was evaluated by a cluster-randomized controlled trial (2013-2016) of 1007 individuals (aged 30-60 years) at high-risk for diabetes (Indian Diabetes Risk Score ≥ 60 and without diabetes) in Kerala state, India. Sixty polling areas in Kerala were randomized to intervention or control groups by an independent statistician using a computer-generated randomization sequence. Participants from 30 intervention communities received a 12-month structured peer-support lifestyle intervention program involving 15 group sessions and linked community activities, aimed at supporting and maintaining lifestyle change. The primary outcome for this analysis was the predicted 10-year CVD risk at two years, assessed using the Framingham Risk Score. The mean age at baseline was 46.0 (SD: 7.5) years, and 47.2% were women. Baseline 10-year CVD risk was similar between study groups. The follow-up rate at two years was 95.7%. The absolute risk reduction in predicted 10-year CVD risk between study groups was 0.69% (95% CI: 0.09% to 1.29%, p=0.024) at one year and 0.69% (95% CI: 0.10% to 1.29%, p=0.023) at two years. The favorable change in CVD risk with the intervention condition was mainly due to the reduction in tobacco use (change index: -0.25, 95% CI: -0.42 to -0.09). Our findings suggest that a community-based peer-support lifestyle intervention could reduce CVD risk in individuals at high-risk of developing diabetes in India. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Registry ACTRN12611000262909.
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Affiliation(s)
- Mojtaba Lotfaliany
- Melbourne School of Population and Global Health, University of Melbourne, Australia
| | - Thirunavukkarasu Sathish
- Melbourne School of Population and Global Health, University of Melbourne, Australia; Population Health Research Institute, McMaster University, Hamilton, Canada.
| | - Jonathan Shaw
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Emma Thomas
- Melbourne School of Population and Global Health, University of Melbourne, Australia; Centre for Online Health, Centre for Health Services Research, University of Queensland, Australia
| | - Robyn Jennifer Tapp
- Melbourne School of Population and Global Health, University of Melbourne, Australia; School of Biomedical Engineering and Imaging Sciences, Kings College London, United Kingdom
| | - Nitin Kapoor
- Melbourne School of Population and Global Health, University of Melbourne, Australia; Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India
| | - Kavumpurathu Raman Thankappan
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, India; Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India
| | - Brian Oldenburg
- Melbourne School of Population and Global Health, University of Melbourne, Australia; WHO Collaborating Centre on Implementation Research for Prevention & Control of NCDs, University of Melbourne, Australia
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Aw M, Ochieng BO, Attambo D, Opot D, Aw J, Francis S, Hawkes MT. Critical appraisal of a mHealth-assisted community-based cardiovascular disease risk screening program in rural Kenya: an operational research study. Pathog Glob Health 2020; 114:379-387. [PMID: 32896232 DOI: 10.1080/20477724.2020.1816286] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Community health workers (CHWs) can participate in the cascade of hypertension and diabetes management in low and middle-income countries (LMICs). Their services may be enhanced with mobile health (mHealth) tools. In this operational research study, we describe the AFYACHAT mHealth-assisted cardiovascular health screening program in rural Kenya. In this study, A CHW screened a convenience sample of adults ≥ 40 years old in rural Kenya for cardiovascular disease (CVD) risk using the two-way AFYACHAT mHealth instrument. AFYACHAT analyzes a patient's age, sex, smoking, diabetes and systolic blood pressure and provides a four-tiered 10-year CVD risk score. User acceptability was assessed by an end-of-study interview with the CWH. Automated error logs were analyzed. Patient satisfaction was measured with a six-question satisfaction questionnaire. Screened participants with high CVD risk were followed-up via telephone to explore any actions taken following screening. In 24 months, one CHW screened 1650 participants using AFYACHAT. The 10-year risk of CVD was <10% for 1611 (98%) patients, 10 to <20% for 26 (1.6%), 20 to <30% in 12 (0.7%), and ≥30% for 1 (0.1%). The point prevalence of hypertension and diabetes was 27% and 1.9%, respectively. Seventy-five percent of participants with elevated CVD risk sought further medical care. There was high acceptability, a 15% miscode error rate, and high participant satisfaction with the screening program. Our operational research outlines how AFYACHAT mHealth tool can assist CHW perform rapid CVD screening; this provides a model framework for non-communicable disease screening in LMICs.
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Affiliation(s)
- Michael Aw
- Department of Medicine, McMaster University , Hamilton, Ontario, Canada
| | - Benard Omondi Ochieng
- Department of community engagement, Kenya Medical Research Institute , Kisumu, Kenya
| | - Daniel Attambo
- Department of community engagement, Lewa Wildlife Conservancy , Isiolo District, Kenya
| | - Danet Opot
- Department of community engagement, Kenya Medical Research Institute , Kisumu, Kenya
| | - James Aw
- Department of corporate social responsibility (Naweza), Medcan Corporation , Toronto, Canada
| | - Stacy Francis
- Department of corporate social responsibility (Naweza), Medcan Corporation , Toronto, Canada
| | - Michael T Hawkes
- Department of corporate social responsibility (Naweza), Medcan Corporation , Toronto, Canada.,Department of Pediatrics, University of Alberta , Edmonton, Canada.,School of Public Health, University of Alberta , Edmonton, Canada.,Distinguished Researcher, Stollery Science Lab, University of Alberta , Edmonton, Canada.,Member, Women and Children's Research Institute, University of Alberta , Edmonton, Canada
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Hertz JT, Sakita FM, Kweka GL, Bloomfield GS, Bartlett JA, Tarimo TG, Temu G, Bettger JP, Thielman NM. Effect of a Triage-Based Screening Protocol on Diagnosis and Treatment of Acute Coronary Syndrome in a Tanzanian Emergency Department: A Prospective Pre-Post Study. J Am Heart Assoc 2020; 9:e016501. [PMID: 32772764 PMCID: PMC7660831 DOI: 10.1161/jaha.120.016501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 07/08/2020] [Indexed: 01/07/2023]
Abstract
Background Evidence suggests that acute coronary syndrome (ACS) is underdiagnosed in sub-Saharan Africa. Triage-based interventions have improved ACS diagnosis and management in high-income settings but have not been evaluated in sub-Saharan African emergency departments (EDs). Our objective was to estimate the effect of a triage-based screening protocol on ACS diagnosis and care in a Tanzanian ED. Methods and Results All adults presenting to a Tanzanian ED with chest pain or shortness of breath were prospectively enrolled. Treatments and clinician-documented diagnoses were observed and recorded. In the preintervention phase (August 2018 through January 2019), ACS testing and treatment were dictated by physician discretion, as per usual care. A triage-based protocol was then introduced, and in the postintervention phase (January 2019 through October 2019), research assistants performed ECG and point-of-care troponin I testing on all patients with chest pain or shortness of breath upon ED arrival. Pre-post analyses compared ACS care between phases. Of 1020 total participants (339 preintervention phase, 681 postintervention phase), mean (SD) age was 58.9 (19.4) years. Six (1.8%) preintervention participants were diagnosed with ACS, versus 83 (12.2%) postintervention participants (odds ratio [OR], 7.51; 95% CI, 3.52-19.7; P<0.001). Among all participants, 3 (0.9%) preintervention participants received aspirin, compared with 50 (7.3%) postintervention participants (OR, 8.45; 95% CI, 3.07-36.13; P<0.001). Conclusions Introduction of a triage-based ACS screening protocol in a Tanzanian ED was associated with significant increases in ACS diagnoses and aspirin administration. Additional research is needed to determine the effect of ED-based interventions on ACS care and clinical end points in sub-Saharan Africa.
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Affiliation(s)
- Julian T. Hertz
- Department of SurgeryDuke University School of MedicineDurhamNC
- Duke Global Health InstituteDuke UniversityDurhamNC
| | - Francis M. Sakita
- Department of Emergency MedicineKilimanjaro Christian Medical CentreMoshiTanzania
- Kilimanjaro Christian Medical University CollegeMoshiTanzania
| | | | - Gerald S. Bloomfield
- Duke Global Health InstituteDuke UniversityDurhamNC
- Department of MedicineDuke University School of MedicineDurhamNC
| | - John A. Bartlett
- Duke Global Health InstituteDuke UniversityDurhamNC
- Kilimanjaro Christian Medical University CollegeMoshiTanzania
- Department of MedicineDuke University School of MedicineDurhamNC
| | | | - Gloria Temu
- Kilimanjaro Christian Medical University CollegeMoshiTanzania
- Department of MedicineKilimanjaro Christian Medical CentreMoshiTanzania
| | - Janet P. Bettger
- Duke Global Health InstituteDuke UniversityDurhamNC
- Department of Orthopaedic SurgeryDuke University School of MedicineDurhamNC
| | - Nathan M. Thielman
- Duke Global Health InstituteDuke UniversityDurhamNC
- Department of MedicineDuke University School of MedicineDurhamNC
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Patterns of Emergency Care for Possible Acute Coronary Syndrome Among Patients with Chest Pain or Shortness of Breath at a Tanzanian Referral Hospital. Glob Heart 2020; 15:9. [PMID: 32489782 PMCID: PMC7218785 DOI: 10.5334/gh.402] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Background Acute coronary syndrome (ACS) is thought to be a rare diagnosis in sub-Saharan Africa, but little is known about diagnostic practices for patients with possible ACS symptoms in the region. Objective To describe current care practices for patients with ACS symptoms in Tanzania to identify factors that may contribute to ACS under-detection. Methods Emergency department patients with chest pain or shortness of breath at a Tanzanian referral hospital were prospectively observed. Medical histories were obtained, and diagnostic workups, treatments, and diagnoses were recorded. Five-year risk of cardiovascular events was calculated via the Harvard National Health and Nutrition Examination Survey risk score. Telephone follow-ups were conducted 30 days after enrollment. Results Of 339 enrolled patients, the median (IQR) age was 60 (46, 72) years, 252 (74.3%) had hypertension, and 222 (65.5%) had >10% five-year risk of cardiovascular event. The median duration of symptoms prior to presentation was 7 days, and 314 (92.6%) reported symptoms worsened by exertion. Of participants, 170 (50.1%) received an electrocardiogram, and 9 (2.7%) underwent cardiac biomarker testing. There was no univariate association between five-year cardiovascular risk and decision to obtain an electrocardiogram (p = 0.595). The most common physician-documented diagnoses were symptomatic hypertension (104 patients, 30.7%) and heart failure (99 patients, 29.2%). Six patients (1.8%) were diagnosed with ACS, and 3 (0.9%) received aspirin. Among 284 (83.8%) patients completing 30-day follow-up, 20 (7.0%) had died. Conclusions Many patients with ACS risk factors present to the emergency department of a Tanzanian referral hospital with possible ACS symptoms, but marked delays in care-seeking are common. Complete diagnostic workups for ACS are uncommon, ACS is rarely diagnosed or treated with evidence-based therapies, and mortality in patients with these symptoms is high. Physician practices may be contributing to ACS under-detection in Tanzania, and interventions are needed to improve ACS care.
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Zwaard AJVD, Geraedts A, Norder G, Heymans MW, Roelen CAM. Framingham score and work-related variables for predicting cardiovascular disease in the working population. Eur J Public Health 2019; 29:832-837. [PMID: 31220243 DOI: 10.1093/eurpub/ckz008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Framingham score is commonly used to estimate the risk of cardiovascular disease (CVD). This study investigated whether work-related variables improve Framingham score predictions of sickness absence due to CVD. METHODS Eleven occupational health survey variables (descent, marital status, education, work type, work pace, cognitive demands, supervisor support, co-worker support, commitment to work, intrinsic work motivation and distress) and the Framingham Point Score (FPS) were combined into a multi-variable logistic regression model for CVD sickness absence during 1-year follow-up of 19 707 survey participants. The Net Reclassification Index (NRI) was used to investigate the added value of work-related variables to the FPS risk classification. Discrimination between participants with and without CVD sickness absence during follow-up was investigated by the area under the receiver operating characteristic curve (AUC). RESULTS A total of 129 (0.7%) occupational health survey participants had CVD sickness absence during 1-year follow-up. Manual work and high cognitive demands, but not the other work-related variables contributed to the FPS predictions of CVD sickness absence. However, work type and cognitive demands did not improve the FPS classification for risk of CVD sickness absence [NRI = 2.3%; 95% confidence interval (CI) -2.7 to 9.5%; P = 0.629]. The FPS discriminated well between participants with and without CVD sickness absence (AUC = 0.759; 95% CI 0.724-0.794). CONCLUSION Work-related variables did not improve predictions of CVD sickness absence by the FPS. The non-laboratory Framingham score can be used to identify health survey participants at risk of CVD sickness absence.
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Affiliation(s)
| | - Anna Geraedts
- Department of Research and Business Development, HumanTotalCare, Utrecht, The Netherlands
| | - Giny Norder
- Department of Research and Business Development, HumanTotalCare, Utrecht, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Biostatistics, VU University, VU University Medical Center, Amsterdam, The Netherlands
| | - Corné A M Roelen
- Department of Epidemiology and Biostatistics, VU University, VU University Medical Center, Amsterdam, The Netherlands.,Division of Community and Occupational Medicine, Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Kaptoge S, Pennells L, De Bacquer D, Cooney MT, Kavousi M, Stevens G, Riley LM, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens JW, Björkelund C, Blaha M, Blazer DG, Bolton T, Bonita Beaglehole R, Brenner H, Brunner EJ, Casiglia E, Chamnan P, Choi YH, Chowdry R, Coady S, Crespo CJ, Cushman M, Dagenais GR, D'Agostino Sr RB, Daimon M, Davidson KW, Engström G, Ford I, Gallacher J, Gansevoort RT, Gaziano TA, Giampaoli S, Grandits G, Grimsgaard S, Grobbee DE, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema JW, Kauhanen J, Kengne AP, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam TH, Laughlin G, Marín Ibañez A, Meade TW, Moons KGM, Nietert PJ, Ninomiya T, Nordestgaard BG, O'Donnell C, Palmieri L, Patel A, Perel P, Price JF, Providencia R, Ridker PM, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw JE, Shin HC, Simons LA, Sofianopoulou E, Sundström J, Völzke H, Wallace RB, Wareham NJ, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health 2019; 7:e1332-e1345. [PMID: 31488387 PMCID: PMC7025029 DOI: 10.1016/s2214-109x(19)30318-3] [Citation(s) in RCA: 499] [Impact Index Per Article: 99.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/16/2019] [Accepted: 07/10/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. METHODS In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. FINDINGS Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. INTERPRETATION We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. FUNDING World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.
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Hertz JT, Sakita FM, Manavalan P, Mmbaga BT, Thielman NM, Staton CA. Knowledge, attitudes, and preventative practices regarding ischemic heart disease among emergency department patients in northern Tanzania. Public Health 2019; 175:60-67. [PMID: 31401252 DOI: 10.1016/j.puhe.2019.06.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/11/2019] [Accepted: 06/25/2019] [Indexed: 02/04/2023]
Abstract
OBJECTIVES The objective of this study is to increase understanding of knowledge, attitudes, and preventative practices regarding ischemic heart disease (IHD) in sub-Saharan Africa in order to develop patient-centered interventions to improve care and outcomes. STUDY DESIGN This is a prospective observational study. METHODS Adult patients presenting with chest pain or shortness of breath to an emergency department in northern Tanzania were enrolled. A questionnaire was adapted from existing knowledge attitude and practice surveys regarding cardiovascular disease and the WHO STEPS instrument. Individual five-year risk of cardiovascular event was determined by validated models based on age, sex, systolic blood pressure, body mass index, diabetes, and smoking status. An IHD knowledge score was calculated by giving one point for each correct response to the knowledge-related items, with a maximum score of 10. Associations between IHD knowledge and patient characteristics were assessed by Welch's t-test. RESULTS A total of 349 patients were enrolled, with median interquartile range (IQR) age 60 (45, 72) years. Of participants, 259 (74.2%) had hypertension, and 228 (65.3%) had greater than 10% five-year risk of cardiovascular event. The mean (SD) knowledge score was 4.8 (3.3). The majority of respondents (224, 64.2%) recognized obesity as a risk factor for heart attack, while a minority (34, 9.7%) knew that a daily aspirin could reduce the risk of cardiovascular event. Greater IHD knowledge was associated with younger age (P = 0.045) and higher levels of education (P < 0.001) but not higher risk of cardiovascular disease (P = 0.123). Most respondents expressed a willingness to diet to improve their health (322, 92.3%) and a preference for treatment from a physician rather than a traditional healer for a heart attack (321, 92.0%). A minority of patients reported exercising regularly (88, 25.2%) or seeing a doctor routinely for checkups (100, 28.7%). CONCLUSIONS High-risk emergency department patients in northern Tanzania have moderate knowledge regarding IHD but do not consistently engage in healthy preventive practices. Patient-centered interventions are needed to improve IHD knowledge and practices in high-risk populations.
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Affiliation(s)
- J T Hertz
- Division of Emergency Medicine, Duke University, 2301 Erwin Rd, Durham, NC 27710, USA; Duke Global Health Institute, Duke University, 310 Trent Dr, Durham, NC 27710, USA.
| | - F M Sakita
- Department of Emergency Medicine, Kilimanjaro Christian Medical Centre, PO Box 3010, Moshi, Tanzania
| | - P Manavalan
- Department of Medicine, Duke University, 2301 Erwin Rd, Durham, NC 27710, USA
| | - B T Mmbaga
- Kilimanjaro Christian Research Institute, Tumaini University, PO Box 3010, Moshi, Tanzania
| | - N M Thielman
- Duke Global Health Institute, Duke University, 310 Trent Dr, Durham, NC 27710, USA
| | - C A Staton
- Division of Emergency Medicine, Duke University, 2301 Erwin Rd, Durham, NC 27710, USA; Duke Global Health Institute, Duke University, 310 Trent Dr, Durham, NC 27710, USA
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Santos A, Martín P, Blasco A, Solano J, Cózar B, García D, Goicolea J, Bellas C, Coronado M. NETs detection and quantification in paraffin embedded samples using confocal microscopy. Micron 2018; 114:1-7. [DOI: 10.1016/j.micron.2018.07.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 07/05/2018] [Accepted: 07/06/2018] [Indexed: 02/07/2023]
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Muiru AN, Bibangambah P, Hemphill L, Sentongo R, Kim JH, Triant VA, Bangsberg DR, Tsai AC, Martin JN, Haberer JE, Boum Y, Plutzky J, Hunt PW, Okello S, Siedner MJ. Distribution and Performance of Cardiovascular Risk Scores in a Mixed Population of HIV-Infected and Community-Based HIV-Uninfected Individuals in Uganda. J Acquir Immune Defic Syndr 2018; 78:458-464. [PMID: 29652762 PMCID: PMC6019157 DOI: 10.1097/qai.0000000000001696] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND The utility and validity of cardiovascular diseases (CVD) risk scores are not well studied in sub-Saharan Africa. We compared and correlated CVD risk scores with carotid intima media thickness (c-IMT) among HIV-infected and uninfected people in Uganda. METHODS We first calculated CVD risk using the (1) Framingham laboratory-based score; (2) Framingham nonlaboratory score (FRS-BMI); (3) Reynolds risk score; (4) American College of Cardiology and American Heart Association score; and (5) the Data collection on Adverse Effects of Anti-HIV Drugs score. We then compared absolute risk scores and risk categories across each score using Pearson correlation and kappa statistics, respectively. Finally, we fit linear regression models to estimate the strength of association between each risk score and c-IMT. RESULTS Of 205 participants, half were females and median age was 49 years [interquartile range (IQR) 46-53]. Median CD4 count was 430 cells/mm (IQR 334-546), with median 7 years of antiretroviral therapy exposure (IQR 6.4-7.5). HIV-uninfected participants had a higher median systolic blood pressure (121 vs. 110 mm Hg), prevalent current smokers (18% vs. 4%, P = 0.001), higher median CVD risk scores (P < 0.003), and greater c-IMT (0.68 vs. 0.63, P = 0.003). Overall, FRS-BMI was highly correlated with other risk scores (all rho >0.80). In linear regression models, we found significant correlations between increasing CVD risk and higher c-IMT (P < 0.01 in all models). CONCLUSIONS In this cross-sectional study from Uganda, the FRS-BMI correlated well with standard risk scores and c-IMT. HIV-uninfected individuals had higher risk scores than HIV-infected individuals, and the difference seemed to be driven by modifiable factors.
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Affiliation(s)
- Anthony N Muiru
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Currently, Division of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Prossy Bibangambah
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Linda Hemphill
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ruth Sentongo
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - June-Ho Kim
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Virginia A Triant
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - David R Bangsberg
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Currently, Oregon Health Sciences University-Portland State University School of Public Health, Portland, OR
| | - Alexander C Tsai
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
- Chester M. Pierce, MD, Division of Global Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jeffrey N Martin
- Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Jessica E Haberer
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Yap Boum
- Epicentre Research Base, Mbarara, Uganda
| | - Jorge Plutzky
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Peter W Hunt
- Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Samson Okello
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Mark J Siedner
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
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RETRACTED ARTICLE: Long-term follow-up after sleeve gastrectomy versus Roux-en-Y gastric bypass versus one-anastomosis gastric bypass: a prospective randomized comparative study of weight loss and remission of comorbidities. Surg Endosc 2018; 33:401-410. [DOI: 10.1007/s00464-018-6307-9] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 06/18/2018] [Indexed: 12/31/2022]
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Feinstein MJ, Bogorodskaya M, Bloomfield GS, Vedanthan R, Siedner MJ, Kwan GF, Longenecker CT. Cardiovascular Complications of HIV in Endemic Countries. Curr Cardiol Rep 2017; 18:113. [PMID: 27730474 DOI: 10.1007/s11886-016-0794-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Effective combination antiretroviral therapy (ART) has enabled human immunodeficiency virus (HIV) infection to evolve from a generally fatal condition to a manageable chronic disease. This transition began two decades ago in high-income countries and has more recently begun in lower income, HIV endemic countries (HIV-ECs). With this transition, there has been a concurrent shift in clinical and public health burden from AIDS-related complications and opportunistic infections to those associated with well-controlled HIV disease, including cardiovascular disease (CVD). In the current treatment era, traditional CVD risk factors and HIV-related factors both contribute to an elevated risk of myocardial infarction, stroke, heart failure, and arrhythmias. In HIV-ECs, the high prevalence of persons living with HIV and growing prevalence of CVD risk factors will contribute to a growing epidemic of HIV-associated CVD. In this review, we discuss the epidemiology and pathophysiology of cardiovascular complications of HIV and the resultant implications for public health efforts in HIV-ECs.
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Affiliation(s)
- Matthew J Feinstein
- Division of Cardiovascular Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, USA.
| | - Milana Bogorodskaya
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH, USA
| | - Gerald S Bloomfield
- Division of Cardiology, Department of Medicine, Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Rajesh Vedanthan
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark J Siedner
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gene F Kwan
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Christopher T Longenecker
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Division of Cardiology, Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH, USA
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Collins DRJ, Jobanputra K, Frost T, Muhammed S, Ward A, Shafei AA, Fardous T, Gabashneh S, Heneghan C. Cardiovascular disease risk and prevention amongst Syrian refugees: mixed methods study of Médecins Sans Frontières programme in Jordan. Confl Health 2017; 11:14. [PMID: 28725259 PMCID: PMC5512828 DOI: 10.1186/s13031-017-0115-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 06/02/2017] [Indexed: 12/13/2022] Open
Abstract
Background The growing burden of non-communicable diseases (NCDs) presented new challenges for medical humanitarian aid and little was known about primary health care approaches for these diseases in humanitarian response. We aimed to evaluate Médecins Sans Frontières (MSF’s) use of total CVD risk based prevention strategies amongst Syrian refugees in northern Jordan to identify opportunities to improve total CVD risk based guidance for humanitarian settings. Methods We evaluated CVD risk assessment and management in two outpatient NCD clinics in the Irbid governorate of Jordan using a mixed methods design with qualitative and quantitative strands of equal priority, integrated during data collection and interpretation. World Health Organisation/International Society of Hypertension (WHO/ISH) CVD risk charts requiring measured cholesterol were used in the clinics and in our analysis. An electronic database of routine clinical information was used to determine the CVD risk profile of the clinic population, the pattern and concordance of lipid-lowering treatment prescriptions, and the prevalence and accuracy of documented CVD risk scores. This was combined with semi-structured interviews with MSF health workers, which were recorded, transcribed verbatim, and analysed thematically. Results We reviewed the clinical records of 2907 patients. One fifth (20.9%; 95% CI 19.5, 22.4) of patients had a history of CVD while 56.8% (95% CI 54.9, 58.6) of patients had a WHO/ISH risk of <10%. Only 23.3% (95% CI 21.9, 25.0) of patients had a documented WHO/ISH risk score of which 65% were correct. 60.4% (95% CI 58.6, 62.2) of patients were eligible for lipid-lowering treatment and 48.3% (95% CI 45.9, 50.6) of these patients were prescribed it. Analysis of interviews with sixteen MSF staff identified nine explanatory themes. Providers had confusion about when and how to use the risk charts, tended to favour lifestyle intervention over drug treatment, and had uncertainty about the role of lipid-lowering treatment in primary but not secondary prevention. Patients were reluctant to start, stop, or change medication and were less able to modify risk factors and benefit from health education because of their social and economic context. Conclusions Four priority areas to improve CVD risk-based guidance for prevention in humanitarian settings include: practical training for health workers on total CVD risk assessment and associated guidance; supporting the use of CVD risk charts as a communication tool and task sharing; contextualising risk scoring in a broader, single consultation, total CVD risk-based algorithm; and targeting popular health myths amongst the community.
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Affiliation(s)
- Dylan R J Collins
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG United Kingdom
| | | | - Thomas Frost
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG United Kingdom
| | | | - Alison Ward
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG United Kingdom
| | | | | | | | - Carl Heneghan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG United Kingdom
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Ueda P, Woodward M, Lu Y, Hajifathalian K, Al-Wotayan R, Aguilar-Salinas CA, Ahmadvand A, Azizi F, Bentham J, Cifkova R, Di Cesare M, Eriksen L, Farzadfar F, Ferguson TS, Ikeda N, Khalili D, Khang YH, Lanska V, León-Muñoz L, Magliano DJ, Margozzini P, Msyamboza KP, Mutungi G, Oh K, Oum S, Rodríguez-Artalejo F, Rojas-Martinez R, Valdivia G, Wilks R, Shaw JE, Stevens GA, Tolstrup JS, Zhou B, Salomon JA, Ezzati M, Danaei G. Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys. Lancet Diabetes Endocrinol 2017; 5:196-213. [PMID: 28126460 PMCID: PMC5354360 DOI: 10.1016/s2213-8587(17)30015-3] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 11/08/2016] [Accepted: 11/14/2016] [Indexed: 01/03/2023]
Abstract
BACKGROUND Worldwide implementation of risk-based cardiovascular disease (CVD) prevention requires risk prediction tools that are contemporarily recalibrated for the target country and can be used where laboratory measurements are unavailable. We present two cardiovascular risk scores, with and without laboratory-based measurements, and the corresponding risk charts for 182 countries to predict 10-year risk of fatal and non-fatal CVD in adults aged 40-74 years. METHODS Based on our previous laboratory-based prediction model (Globorisk), we used data from eight prospective studies to estimate coefficients of the risk equations using proportional hazard regressions. The laboratory-based risk score included age, sex, smoking, blood pressure, diabetes, and total cholesterol; in the non-laboratory (office-based) risk score, we replaced diabetes and total cholesterol with BMI. We recalibrated risk scores for each sex and age group in each country using country-specific mean risk factor levels and CVD rates. We used recalibrated risk scores and data from national surveys (using data from adults aged 40-64 years) to estimate the proportion of the population at different levels of CVD risk for ten countries from different world regions as examples of the information the risk scores provide; we applied a risk threshold for high risk of at least 10% for high-income countries (HICs) and at least 20% for low-income and middle-income countries (LMICs) on the basis of national and international guidelines for CVD prevention. We estimated the proportion of men and women who were similarly categorised as high risk or low risk by the two risk scores. FINDINGS Predicted risks for the same risk factor profile were generally lower in HICs than in LMICs, with the highest risks in countries in central and southeast Asia and eastern Europe, including China and Russia. In HICs, the proportion of people aged 40-64 years at high risk of CVD ranged from 1% for South Korean women to 42% for Czech men (using a ≥10% risk threshold), and in low-income countries ranged from 2% in Uganda (men and women) to 13% in Iranian men (using a ≥20% risk threshold). More than 80% of adults were similarly classified as low or high risk by the laboratory-based and office-based risk scores. However, the office-based model substantially underestimated the risk among patients with diabetes. INTERPRETATION Our risk charts provide risk assessment tools that are recalibrated for each country and make the estimation of CVD risk possible without using laboratory-based measurements. FUNDING National Institutes of Health.
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Affiliation(s)
- Peter Ueda
- Department of Global Health and Population, Harvard School of Public Health, Boston, MA, USA
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, Oxford, UK; The George Institute for Global Health, University of Sydney, Sydney, NSW, Australia; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Yuan Lu
- Yale/Yale-New Haven Hospital, Center for Outcomes Research and Evaluation, New Haven, CT, USA
| | | | - Rihab Al-Wotayan
- Central Department of Primary Health Care, Ministry of Health, Kuwait City, Kuwait
| | - Carlos A Aguilar-Salinas
- Department of Endocrinology and Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición, "Salvador Zubirán", Mexico City, Mexico
| | - Alireza Ahmadvand
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - James Bentham
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Renata Cifkova
- Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer Hospital, Prague, Czech Republic
| | - Mariachiara Di Cesare
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Department of Natural Sciences, School of Science and Technology, Middlsex University, London, UK
| | - Louise Eriksen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Trevor S Ferguson
- Epidemiology Research Unit, Caribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica
| | - Nayu Ikeda
- Center for International Collaboration and Partnership, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, South Korea
| | - Vera Lanska
- Statistical Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Luz León-Muñoz
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/Idipaz, and CIBER of Epidemiology and Public Health, Madrid, Spain
| | | | - Paula Margozzini
- Department of Public Health, Faculty of Medicine, Pontifical Catholic University of Chile, Santiago, Chile
| | | | - Gerald Mutungi
- Non-communicable Diseases Prevention and Control Program at the Ministry of Health, Kampala, Uganda
| | - Kyungwon Oh
- Division of Health and Nutrition Survey, Korea Centers for Disease Control and Prevention, Cheongwon-gun, South Korea
| | - Sophal Oum
- University of Health Sciences, Phnom Penh, Cambodia
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/Idipaz, and CIBER of Epidemiology and Public Health, Madrid, Spain
| | - Rosalba Rojas-Martinez
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Publica, Cuernavaca, Mexico
| | - Gonzalo Valdivia
- División Salud Pública y Medicina Familiar, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Rainford Wilks
- Epidemiology Research Unit, Caribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Gretchen A Stevens
- Department of Information, Evidence and Research, WHO, Geneva, Switzerland
| | - Janne S Tolstrup
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Bin Zhou
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Joshua A Salomon
- Department of Global Health and Population, Harvard School of Public Health, Boston, MA, USA
| | - Majid Ezzati
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; WHO Collaborating Centre on NCD Surveillance and Epidemiology, Imperial College London, London, UK; Wellcome Trust Centre for Global Health Research, London, UK
| | - Goodarz Danaei
- Department of Global Health and Population, Harvard School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
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Engelgau MM, Sampson UK, Rabadan-Diehl C, Smith R, Miranda J, Bloomfield GS, Belis D, Narayan KMV. Tackling NCD in LMIC: Achievements and Lessons Learned From the NHLBI-UnitedHealth Global Health Centers of Excellence Program. Glob Heart 2016; 11:5-15. [PMID: 27102018 PMCID: PMC4843818 DOI: 10.1016/j.gheart.2015.12.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 12/21/2015] [Indexed: 01/14/2023] Open
Abstract
Effectively tackling the growing noncommunicable disease (NCD) burden in low- and middle-income countries (LMIC) is a major challenge. To address research needs in this setting for NCDs, in 2009, National Heart, Lung, and Blood Institute (NHLBI) and UnitedHealth Group (UHG) engaged in a public-private partnership that supported a network of 11 LMIC-based research centers and created the NHLBI-UnitedHealth Global Health Centers of Excellence (COE) Program. The Program's overall goal was to contribute to reducing the cardiovascular and lung disease burdens by catalyzing in-country research institutions to develop a global network of biomedical research centers. Key elements of the Program included team science and collaborative approaches, developing research and training platforms for future investigators, and creating a data commons. This Program embraced a strategic approach for tackling NCDs in LMICs and will provide capacity for locally driven research efforts that can identify and address priority health issues in specific countries' settings.
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Affiliation(s)
- Michael M Engelgau
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Uchechukwu K Sampson
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cristina Rabadan-Diehl
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Richard Smith
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jaime Miranda
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gerald S Bloomfield
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Deshiree Belis
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - K M Venkat Narayan
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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32
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What Defines a Valuable Investment in Global Health Research? Glob Heart 2016; 11:1-3. [DOI: 10.1016/j.gheart.2015.12.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 12/17/2015] [Indexed: 11/17/2022] Open
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