Facteurs associes aux décès des nouveau-nés suspects d’infections bactériennes au Centre Hospitalier Universitaire Pédiatrique Charles de Gaulle de Ouagadougou, Burkina Faso

RésuméIntroduction: il s'agit d'étudier les facteurs associés au décès des nouveau-nés suspects d'infections bactériennes au centre hospitalier universitaire pédiatrique Charles de gaulle de Ouagadougou. Méthodes: nous avons mené une étude de cohorte rétrospective du 1er janvier 2009 au 31 décembre 2012 au centre hospitalier universitaire pédiatrique Charles de gaulle de Ouagadougou. Résultats: la fréquence hospitalière des nouveau-nés suspects d'infection bactérienne sur était de 62,8%. L'âge médian à l'admission était de trois jours et le sex ratio de 1,1.Parmi ces nouveau-nés, 351 (22,8%) ont bénéficié d'au moins un examen bactériologique, et 28 (8%) ont eu la confirmation de l'origine bactérienne de l'infection. Au cours de la période néonatale, 138(9%) nouveau-nés sont décédés avec un taux de létalité précoce et tardive respectivement de 9,6% et 8,3%. Le lieu de résidence, le mode d'admission, le nombre de consultations prénatales, le poids de naissance, la présence de signes de gravité et l'année d'admission étaient les facteurs de risque indépendants associés au décès. Conclusion: les facteurs associés au décès devraient être pris en compte dans les interventions de santé pour réduire la mortalité néonatale.English abstractIntroduction: the aim of this study was to analyze factors associated with death in newborns suspected of bacterial infections in pediatric teaching hospital of Charles de Gaulle Ouagadougou. Methods: we conducted a retrospective cohort study from 1 January 2009 to 31 December 2012 in pediatric teaching hospital of Charles de Gaulle Ouagadougou. Results: the hospitalization rate for newborns suspected of bacterial infection was 62.8%. The average age at admission was three days and the sex ratio was 1.1. Of these newborns, 351 (22.8%) underwent at least one bacteriological examination, and 28 (8%) had confirmation of bacterial infection. During the neonatal period, 138 (9%) newborns died with early and late case fatality rate of 9.6% and 8.3% respectively. Place of residence, mode of admission, number of prenatal consultations, birth weight, presence of severe signs and year of admission were independent risk factors associated with death.Conclusion: factors associated with death should be taken into account in health interventions to reduce neonatal mortality.Key words: Newborn, bacterial infection, bacteriology, risk factors, deat

Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa

International audienceThe proportion of poorly controlled hypertensives still remains high in the general African population. This is largely due to therapeutic inertia (TI), defined as the failure to intensify or modify treatment in a patient with poorly controlled blood pressure (BP). The objective of this study was to identify the determinants of TI. We conducted a retrospective cohort study from March 2012 to February 2014 of hypertensive patients followed during 4 medical visits. The TI score was the number of visits with TI divided by the number of visits where a therapeutic change was indicated. A random-effects logistic model was used to identify the determinants of TI. A total of 200 subjects were included, with a mean age of 57.98 years and 67% men. The TI score was measured at 85.57% (confidence interval [CI] 95% = [82.41-88.92]). Measured individual heterogeneity was significantly significant (0.78). Three factors were associated with treatment inertia, namely the number of antihypertensive drugs (odd ratios [OR] = 1.27; CI = [1.02-1.58]), the time between consultations (OR = 0.94; CI = [0.91-0.97]), and treatment noncompliance (OR = 15.18; CI = [3.13-73.70]). The random-effects model performed better in predicting high-risk patients with TI than the classical logistic model (P value < .001). Our study showed a high TI score in patients followed in cardiology in Burkina Faso. Reduction of the TI score through targeted interventions is necessary to better control hypertension in our cohort patient

Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa

International audienceThe proportion of poorly controlled hypertensives still remains high in the general African population. This is largely due to therapeutic inertia (TI), defined as the failure to intensify or modify treatment in a patient with poorly controlled blood pressure (BP). The objective of this study was to identify the determinants of TI. We conducted a retrospective cohort study from March 2012 to February 2014 of hypertensive patients followed during 4 medical visits. The TI score was the number of visits with TI divided by the number of visits where a therapeutic change was indicated. A random-effects logistic model was used to identify the determinants of TI. A total of 200 subjects were included, with a mean age of 57.98 years and 67% men. The TI score was measured at 85.57% (confidence interval [CI] 95% = [82.41-88.92]). Measured individual heterogeneity was significantly significant (0.78). Three factors were associated with treatment inertia, namely the number of antihypertensive drugs (odd ratios [OR] = 1.27; CI = [1.02-1.58]), the time between consultations (OR = 0.94; CI = [0.91-0.97]), and treatment noncompliance (OR = 15.18; CI = [3.13-73.70]). The random-effects model performed better in predicting high-risk patients with TI than the classical logistic model (P value < .001). Our study showed a high TI score in patients followed in cardiology in Burkina Faso. Reduction of the TI score through targeted interventions is necessary to better control hypertension in our cohort patient

Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa

International audienceThe proportion of poorly controlled hypertensives still remains high in the general African population. This is largely due to therapeutic inertia (TI), defined as the failure to intensify or modify treatment in a patient with poorly controlled blood pressure (BP). The objective of this study was to identify the determinants of TI. We conducted a retrospective cohort study from March 2012 to February 2014 of hypertensive patients followed during 4 medical visits. The TI score was the number of visits with TI divided by the number of visits where a therapeutic change was indicated. A random-effects logistic model was used to identify the determinants of TI. A total of 200 subjects were included, with a mean age of 57.98 years and 67% men. The TI score was measured at 85.57% (confidence interval [CI] 95% = [82.41-88.92]). Measured individual heterogeneity was significantly significant (0.78). Three factors were associated with treatment inertia, namely the number of antihypertensive drugs (odd ratios [OR] = 1.27; CI = [1.02-1.58]), the time between consultations (OR = 0.94; CI = [0.91-0.97]), and treatment noncompliance (OR = 15.18; CI = [3.13-73.70]). The random-effects model performed better in predicting high-risk patients with TI than the classical logistic model (P value < .001). Our study showed a high TI score in patients followed in cardiology in Burkina Faso. Reduction of the TI score through targeted interventions is necessary to better control hypertension in our cohort patient

Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa

International audienceThe proportion of poorly controlled hypertensives still remains high in the general African population. This is largely due to therapeutic inertia (TI), defined as the failure to intensify or modify treatment in a patient with poorly controlled blood pressure (BP). The objective of this study was to identify the determinants of TI. We conducted a retrospective cohort study from March 2012 to February 2014 of hypertensive patients followed during 4 medical visits. The TI score was the number of visits with TI divided by the number of visits where a therapeutic change was indicated. A random-effects logistic model was used to identify the determinants of TI. A total of 200 subjects were included, with a mean age of 57.98 years and 67% men. The TI score was measured at 85.57% (confidence interval [CI] 95% = [82.41-88.92]). Measured individual heterogeneity was significantly significant (0.78). Three factors were associated with treatment inertia, namely the number of antihypertensive drugs (odd ratios [OR] = 1.27; CI = [1.02-1.58]), the time between consultations (OR = 0.94; CI = [0.91-0.97]), and treatment noncompliance (OR = 15.18; CI = [3.13-73.70]). The random-effects model performed better in predicting high-risk patients with TI than the classical logistic model (P value < .001). Our study showed a high TI score in patients followed in cardiology in Burkina Faso. Reduction of the TI score through targeted interventions is necessary to better control hypertension in our cohort patient