2021
DOI: 10.1371/journal.pone.0260225
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Prevalence and predictive risk factors of hypertension in patients hospitalized in Kamenge Military hospital and Kamenge University teaching hospital in 2019: A fixed effect modelling study in Burundi

Abstract: Introduction Hypertension is a major threat to public health globally. Especially in sub-Saharan African countries, this coexists with high burden of other infectious diseases, creating a complex public health situation which is difficult to address. Tackling this will require targeted public health intervention based on evidence that well defines the at risk population. In this study, using retrospective data from two referral hospitals in Burundi, we model the risk factors of hypertension in Burundi. Mater… Show more

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Cited by 3 publications
(5 citation statements)
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“…For instance, one study primarily focused on investigating the prevalence of hypertension among medical in-patients, but it also discovered that out of the 59 patients with hypertension, 33 of them were also diagnosed with diabetes. 66 We also found high prevalence of acute decompensated presentations. We observed increased chronic disease prevalence within hospitals compared to community settings.…”
Section: Discussionmentioning
confidence: 53%
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“…For instance, one study primarily focused on investigating the prevalence of hypertension among medical in-patients, but it also discovered that out of the 59 patients with hypertension, 33 of them were also diagnosed with diabetes. 66 We also found high prevalence of acute decompensated presentations. We observed increased chronic disease prevalence within hospitals compared to community settings.…”
Section: Discussionmentioning
confidence: 53%
“…The pooled prevalence of diabetes in medical settings was 11.9% (95% CI: 9.9–14.3; 15 studies; Table 2 ). 39 , 49 , 50 , 52 , 53 , 62 , 64 , 66 , 69 71 , 79 , 84 , 85 , 92 In emergency departments, we found an overlapping prevalence estimate of 9.3% (95% CI: 5.1–16.2; three studies). 58 , 75 , 80 A high degree of heterogeneity of estimates in both settings is noted (medical wards 95% PI: 5.4–24.3; I 2 : 97.6% and emergency departments I 2 : 98.5%; < 5 studies).…”
Section: Resultsmentioning
confidence: 76%
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“…We manually selected the final model using the backward step-by-step selection method with parsimony principle [ 34 , 35 ]. The Bayesian Information Criterion (BIC) based on adjustment were used [ 36 , 37 ]. The best model is one with low BIC value.…”
Section: Methodsmentioning
confidence: 99%