Incidence of Acute Myocardial Infarction in Northern Tanzania: A Modeling Approach Within a Prospective Observational Study.
Abstract
Background Rigorous incidence data for acute myocardial infarction (AMI) in sub-Saharan
Africa are lacking. Consequently, modeling studies based on limited data have suggested
that the burden of AMI and AMI-associated mortality in sub-Saharan Africa is lower
than in other world regions. Methods and Results We estimated the incidence of AMI
in northern Tanzania in 2019 by integrating data from a prospective surveillance study
(681 participants) and a community survey of healthcare-seeking behavior (718 participants).
In the surveillance study, adults presenting to an emergency department with chest
pain or shortness of breath were screened for AMI with ECG and troponin testing. AMI
was defined by the Fourth Universal Definition of AMI criteria. Mortality was assessed
30 days following enrollment via in-person or telephone interviews. In the cluster-based
community survey, adults in northern Tanzania were asked where they would present
for chest pain or shortness of breath. Multipliers were applied to account for AMI
cases that would have been missed by our surveillance methods. The estimated annual
incidence of AMI was 172 (207 among men and 139 among women) cases per 100 000 people.
The age-standardized annual incidence was 211 (263 among men and 170 among women)
per 100 000 people. The estimated annual incidence of AMI-associated mortality was
87 deaths per 100 000 people, and the age-standardized annual incidence was 102 deaths
per 100 000 people. Conclusions The incidence of AMI and AMI-associated mortality
in northern Tanzania is much higher than previously estimated and similar to that
observed in high-income countries.
Type
Journal articleSubject
Tanzaniaincidence
mortality
myocardial infarction
sub‐Saharan Africa
Emergency Service, Hospital
Female
Humans
Incidence
Male
Middle Aged
Mortality
Myocardial Infarction
Patient Acceptance of Health Care
Population Surveillance
Surveys and Questionnaires
Symptom Assessment
Tanzania
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https://hdl.handle.net/10161/24042Published Version (Please cite this version)
10.1161/jaha.121.021004Publication Info
Hertz, Julian T; Madut, Deng B; Rubach, Matthew P; William, Gwamaka; Crump, John A;
Galson, Sophie W; ... Sakita, Francis M (2021). Incidence of Acute Myocardial Infarction in Northern Tanzania: A Modeling Approach
Within a Prospective Observational Study. Journal of the American Heart Association, 10(15). pp. e021004. 10.1161/jaha.121.021004. Retrieved from https://hdl.handle.net/10161/24042.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Gerald Bloomfield
Associate Professor of Medicine
Sophie Wolfe Galson
Assistant Professor of Surgery
Julian T Hertz
Assistant Professor of Surgery
Alexander Tan Limkakeng Jr.
Professor of Surgery
My personal research interest is finding new ways to diagnose acute coronary syndrome.
In particular, I am interested in novel biomarkers and precision medicine approaches
to this problem. I also have an interest in sepsis and empirical bioethics. As Vice
Chief of Research for the Duke Division of Emergency Medicine, I also work with researchers
from many fields spanning global health, innovation, clinical trials, basic discovery,
and translational research. The
Deng Madut
Assistant Professor of Medicine
I am an infectious diseases doctor who specializes in the care of patients with general
infectious diseases, including persons living with HIV. My research is focused on
improving the diagnosis and treatment of infectious diseases among populations living
in low-resource settings.
Matthew P. Rubach
Associate Professor of Medicine
Nathan Maclyn Thielman
Professor of Medicine
Broadly, my research focuses on a range of clinical and social issues that affect
persons living with or at risk for HIV infection in resource-poor settings. In Tanzania,
our group is applying novel methods to optimize HIV testing uptake among high-risk
groups. We recently demonstrated that the Discrete Choice Experiment (DCE), a form
of stated preference survey research, is a robust tool for identifying (a) which characteristics
of HIV testing options are most preferred by different populati
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