Influence of Infections on the 36-Week Survival of Chronic Hemodialysis Patients at the Hemodialysis Unit of the General Hospital of Douala, Cameroon  

Influence of Infections on the 36-Week Survival of Chronic Hemodialysis Patients at the Hemodialysis Unit of the General Hospital of Douala, Cameroon

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作  者:Elimby Ngande Lionel Patrick Joel Nguea Ndjame Arlette Fouda Menye Epouse Ebana Hermine Danielle Elimby Ngande Lionel Patrick Joel;Nguea Ndjame Arlette;Fouda Menye Epouse Ebana Hermine Danielle(Faculty of Medicine and Biomedical Sciences, The University of Yaounde I, Yaound, Cameroon;Nephrology Department, General Douala Hospital, Douala, Cameroon;Faculty of Medicine and Pharmaceutical Sciences, The University of Douala, Douala, Cameroon;Internal Medicine Department, Yaound Central Hospital, Yaound, Cameroon)

机构地区:[1]Faculty of Medicine and Biomedical Sciences, The University of Yaounde I, Yaound, Cameroon [2]Nephrology Department, General Douala Hospital, Douala, Cameroon [3]Faculty of Medicine and Pharmaceutical Sciences, The University of Douala, Douala, Cameroon [4]Internal Medicine Department, Yaound Central Hospital, Yaound, Cameroon

出  处:《Open Journal of Nephrology》2024年第4期593-608,共16页肾脏病(英文)

摘  要:Background: The absence of local data on the survival of hemodialysis patients complicates the optimization of their care in Cameroon, a country characterized by a high prevalence of chronic kidney disease (CKD). This study, conducted at the hemodialysis unit of the General Hospital of Douala (GHGD), aimed to address this gap by assessing the 36-week survival of hemodialysis patients with CKD, thus providing essential data to enhance clinical practices and inform public health decisions. Methods: We conducted a prospective study at GHGD over a period of 9 months, monitoring 262 hemodialysis patients. Sociodemographic data, comorbidities, the presence of infections, adherence to regular hemodialysis sessions, and the week of death were collected using a structured survey form. The Kaplan-Meier estimator and Cox regression model were used to analyze patient survival. Results: The mean age of the patients was 49 ± 14 years. Adherence to hemodialysis sessions (HR = 0.19, p Burkholderia cepacia (p = 0.006), and for those who were divorced (p = 0.001). Conclusion: Strengthening infection prevention and providing psychosocial support for patients with CKD are crucial measures to improve patient care and develop public health strategies tailored to local needs.Background: The absence of local data on the survival of hemodialysis patients complicates the optimization of their care in Cameroon, a country characterized by a high prevalence of chronic kidney disease (CKD). This study, conducted at the hemodialysis unit of the General Hospital of Douala (GHGD), aimed to address this gap by assessing the 36-week survival of hemodialysis patients with CKD, thus providing essential data to enhance clinical practices and inform public health decisions. Methods: We conducted a prospective study at GHGD over a period of 9 months, monitoring 262 hemodialysis patients. Sociodemographic data, comorbidities, the presence of infections, adherence to regular hemodialysis sessions, and the week of death were collected using a structured survey form. The Kaplan-Meier estimator and Cox regression model were used to analyze patient survival. Results: The mean age of the patients was 49 ± 14 years. Adherence to hemodialysis sessions (HR = 0.19, p Burkholderia cepacia (p = 0.006), and for those who were divorced (p = 0.001). Conclusion: Strengthening infection prevention and providing psychosocial support for patients with CKD are crucial measures to improve patient care and develop public health strategies tailored to local needs.

关 键 词:SURVIVAL CKD HEMODIALYSIS Kaplan-Meier Estimator Cox Model 

分 类 号:R69[医药卫生—泌尿科学]

 

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