Chrome Extension
WeChat Mini Program
Use on ChatGLM

Sickle cell trait is not associated with chronic kidney disease in adult Congolese patients: a clinic-based, cross-sectional study.

CARDIOVASCULAR JOURNAL OF AFRICA(2015)

Cited 10|Views16
No score
Abstract
Objective: The aim of this study was to evaluate the determinants of chronic kidney disease (CKD) with special emphasis on sickle cell trait (SCT). Methods: Three hundred and fifty-nine patients (171 men and 188 women), aged 18 years or older, with reduced kidney function (eGFR < 90 ml/min/1.73 m(2)) and seen at secondary and tertiary healthcare in Kinshasa were consecutively recruited in this cross-sectional study. Serum creatinine and haemoglobin electrophoresis were performed in each patient. CKD was defined as < 60 ml/min/1.73 m(2). Logistic regression analysis was used to assess determinants of CKD with a special emphasis on SCT. A p-value < 0.05 defined the level of statistical significance. Results: SCT was present in 19% of the study population; its frequency was 21 and 18% (p > 0.05) in patients with and without CKD, respectively. In multivariate analysis, sickle cell trait was not significantly (OR: 0.38; 95% CI: 0.559-1.839; p = 0.235) associated with CKD; the main determinants were dipstick proteinuria (OR: 1.86; 95% CI: 1.094-3.168; p = 0.02), the metabolic syndrome (OR: 1.69; 95% CI: 1.033-2.965; p = 0.03), haemoblobin = 12 g/dl (OR: 0.36; 95% CI: 0.210-0.625; p = 0.001), and personal history of hypertension (OR: 2.16; 95% CI: 1.202-3.892; p = 0.01) and of diabetes mellitus (OR: 2.35; 95% CI: 1.150-4.454; p = 0.001). Conclusion: SCT was not an independent determinant of CKD in the present case series. Traditional risk factors emerged as the main determinants of CKD.
More
Translated text
Key words
chronic kidney disease,determinants,sickle cell trait,black Africans
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined