Quality of life of patients with kidney failure in sub-Saharan Africa: protocol for a systematic review of quantitative studies

Introduction: The burden of chronic kidney disease (CKD) is rising in sub-Saharan Africa. Access to kidney replacement therapy (KRT) remains limited and modelling suggests a significant hidden burden of kidney failure managed without KRT. Kidney failure is contributing to serious health-related suffering (SHS) at a global level. Despite this, access to palliative care remains extremely disparate. There is an urgent need for greater palliative care provision for patients with kidney failure in sub-Saharan Africa. To inform this, it is important to understand their current quality of life. This article outlines our review protocol, ensuring transparency of our planned methods and reporting. Methods and analysis: A comprehensive search will be conducted of MEDLINE (Ovid), EMBASE, CINAHL, African Index Medicus and Africa Journals Online. ProQuest Dissertations & Theses Global will be searched for grey literature. Eligible sources will be quantitative observational studies, conducted in sub-Saharan Africa, and published in English or French. The primary outcome measure will be quality of life of those with kidney failure, measured using a validated quality of life tool. Abstract screening, data extraction and risk of bias assessments will be conducted independently by two reviewers. Meta-analysis will be performed on study subgroups, if appropriate, based on heterogeneity of included studies; otherwise results will be summarised narratively. This protocol is structured according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidance. Ethics and dissemination: Ethical approval is not required because this review will synthesise published data. Findings will be disseminated in a peer-reviewed journal. PROSPERO registration ID: 27543

Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients

Introduction : Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement. Methods : We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA). Results : The model showed a good discrimination for KRT and “death after KRT,” with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds. Conclusion : This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries

Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients

Introduction : Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement. Methods : We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA). Results : The model showed a good discrimination for KRT and “death after KRT,” with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds. Conclusion : This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries

Predicting Kidney Failure, Cardiovascular Disease and Death in Advanced CKD Patients

Introduction: Predicting the timing and occurrence of kidney replacement therapy (KRT), cardiovascular events, and death among patients with advanced chronic kidney disease (CKD) is clinically useful and relevant. We aimed to externally validate a recently developed CKD G4+ risk calculator for these outcomes and to assess its potential clinical impact in guiding vascular access placement. Methods: We included 1517 patients from the European Quality (EQUAL) study, a European multicentre prospective cohort study of nephrology-referred advanced CKD patients aged ≥65 years. Model performance was assessed based on discrimination and calibration. Potential clinical utility for timing of referral for vascular access placement was studied with diagnostic measures and decision curve analysis (DCA). Results: The model showed a good discrimination for KRT and “death after KRT,” with 2-year concordance (C) statistics of 0.74 and 0.76, respectively. Discrimination for cardiovascular events (2-year C-statistic: 0.70) and overall death (2-year C-statistic: 0.61) was poorer. Calibration was fairly accurate. Decision curves illustrated that using the model to guide vascular access referral would generally lead to less unused arteriovenous fistulas (AVFs) than following estimated glomerular filtration rate (eGFR) thresholds. Conclusion: This study shows moderate to good predictive performance of the model in an older cohort of nephrology-referred patients with advanced CKD. Using the model to guide referral for vascular access placement has potential in combating unnecessary vascular surgeries