17 research outputs found
Acute kidney injury is a powerful independent predictor of mortality in critically ill patients: a multicenter prospective cohort study from Kinshasa, the Democratic Republic of Congo
Epidemiology of chronie kidney disease in the Democratie Republic of Congo: Review of cross-sectional studies from Kinshasa, the capital
Chronic kidney disease (CKD) is a worldwide public health problem. Little is known about its burden in Africa. This paper reviews the knowledge of CKD in Kinshasa, summarizing four studies undertaken in the general population and traditional health system of Kinshasa. CKD was defined by either kidney damage (proteinuria 300 mg/day) or reduced kidney function (eGFR < 60 ml/min/1.73 m2). In the general population, the prevalence of CKD all stage is 12.4 %. Our work shows also the high prevalence of proteinuria among subjects who do not have diabetes or hypertension, the lack of early detection and management of CKD risk factors in the traditional health care system leading to late referral or premature deaths, and the limits of renal replacement treatment. CKD affects young people in the DRC, in contrast to the United States, where CKD is more prevalent in older people. Major determinants of CKD in our studies were hypertension, diabetes, overweight, age, lower socioeconomic status, and Human immunodeficiency virus (HIV) infection. Glomerular nephropathy (mainly focal segmental glomerulosclerosis) remains the leading cause of end stage renal disease. An annual screening of the population for proteinuria and CKD risk factors is feasible and will, it is hoped, provide the basis for building a nationwide prevention strategy
The Atherogenic Dyslipidemia Ratio Log (Tg)/Hdl-C Was Not Associated with Urinary Albumin Excretion Rate (Uaer) and In-creased Cardiovascular Risk in Black Patients with Type 2 Diabetes
Abstract Objective: The objective is to assess the relationship of Log (TG)/HDL-c as surrogate estimate of atherogenic dyslipidemia with urinary albumin excretion rate and cardiovascular risk among black patients with type 2 diabetes. Patients and methods: A post-hoc analysis of data from 181 type 2 diabetes patients enrolled in a cross-sectional study of urinary albumin excretion rate seen at a tertiary healthcare. Microalbuminuria and macroalbuminuria were defined as ACR 30 -299.9 mg/g and ACR ≥ 300 mg/g, respectively. Quartiles of Log (TG)/HDL-c were used as surrogate estimates of atherogenic dyslipidemia. Cardiovascular risk was assessed using WHO chart for estimation of CV risk in low and middle income countries. Comparisons across Log (TG)/HDL-c quartiles were performed using one way ANOVA and Chi square for trend as appropriate. P < 0.05 defined the level of statistical significance. Results: A high prevalence (69%) of atherogenic dyslipidemia (AD) was observed in the present case series of Black Africans with type 2 diabetes. Average total cholesterol levels showed significant (p = 0.010) trends towards lower values across quartiles of Log (TG)/ HDL-c. No significant trends were observed for average UAER and cardiovascular risk across quartiles of Log (TG)/HDL-c. Conclusion: Log (TG)/HDL-c as a surrogate estimate of atherogenic failed to predict cardiovascular risk in the present case series of black patients with type 2 diabetes
Is there a difference in hypertension screening and care in urban population vs rural company in the Democratic Republic of Congo (DRC)?
Mesure du DFG en population africaine par la clairance plasmatique de l’iohexol : comparaison des méthodes à prélèvement unique et prélèvements multiples
Facteurs prédictifs de la mortalité des patients admis aux urgences médicales des cliniques universitaires de Kinshasa
Background: The management of medical emergencies is poorly organized in the Democratic Republic of Congo. In addition, the mortality of patients attending the medical emergency unit of Kinshasa University Hospital is relatively high, with death of patients occurring rather early. To date, factors associated with this mortality have been poorly elucidated. This study aimed to identify predictive factors of all-cause mortality in patients admitted to the medical emergency unit of the Kinshasa University Hospital. Methods: Analytical prospective study of all patients admitted from 15th January to 15th February 2011 in the emergency unit of the internal medicine department of Kinshasa University Hospital (427 patients). Among these patients, 13 were dead at arrival and were excluded from this study. The 414 patients included were followed until discharge from the hospital. Demographic, clinical, biological, diagnostic, therapeutical and evolutive data were collected. Four multivariate logistic regression models were used to identify risk factors associated with mortality. Results: Patients' median age was 40. years (interquartile range, 28-58 years), 54.5% were male, and 15.9% had a life-threatening pathological condition on admission. The overall mortality was 12.3%. According to multivariate analyses, transfer from other health care structures (OR: 3.5; 95% CI: 1.7-7.1), Glasgow Coma Scale score less than 14 on admission (OR: 11.1; 95% CI: 4.7-26.3), high creatinine level (OR: 4.2; 95% CI: 1.8-9.7), presence of cardiovascular (OR: 2.9; 95% CI: 1.5-5.7), renal (OR: 7.4; 95% CI: 3.2-17.3), hematologic and/or respiratory (OR: 6.1; 95% CI: 1.7-21.4) diseases, presence of sepsis and/or meningitis and encephalitis (OR: 5.2; 95% CI: 1.6-17.0) were significantly associated with a high risk of death. However, the Glasgow Coma Scale score less than 14 on admission and renal disease were the only predictive factors of mortality remaining after including demographic, clinical, diagnostic and therapeutical variables in the logistic regression model. Conclusion: Our study showed that transfer from another health care structure, low Glasgow Coma Scale score on admission, high creatinine level, cardiovascular, renal, hematologic and/or respiratory diseases, sepsis and/or meningitis and encephalitis were associated with an increased risk of death in Kinshasa University Hospital patients admitted in the medical emergency unit. © 2013 Elsevier Masson SAS.SCOPUS: ar.jinfo:eu-repo/semantics/publishe