Renal Failure, Journal Year: 2024, Volume and Issue: 46(2)
Published: Dec. 11, 2024
Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential improve prediction of CKD progression, offering increased accuracy over traditional methods. Therefore, this systematic review and meta-analysis examine diagnostic performance various AI models in predicting CKD.
Language: Английский
Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 11
Published: Jan. 15, 2025
Chronic kidney disease (CKD) is a significant global health issue, often linked to diabetes, hypertension, and glomerulonephritis. However, aggregated statistics can obscure heterogeneity across subtypes, age, gender, regions. This study aimed analyze CKD trends from 1990 2021, focusing on socio-demographic index (SDI), regional variations. Data were extracted the Global Burden of Disease (GBD) 2021 database, covering prevalence, incidence, mortality, disability-adjusted life years (DALYs). These presented as counts per 100,000 population age-standardized rates, with uncertainty intervals (UIs) highlight variability. Joinpoint regression was used assess over 30-year period. In prevalence 359 million, 11.13 million new cases, 1.53 deaths, 44.45 DALYs-up 92, 156, 176, 114% since 1990. While slightly declined, DALYs increased significantly. burden varied by region notable gender disparities. The highlights dramatic rise in growth aging, emphasizing need for targeted treatment effective healthcare policies.
Language: Английский
Citations
2
Renal Failure, Journal Year: 2024, Volume and Issue: 46(2)
Published: Sept. 19, 2024
Chronic Kidney Disease (CKD) has emerged as a significant global health issue. This study aimed to reveal and predict the epidemiological characteristics of CKD.
Language: Английский
Citations
5
Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 11
Published: Jan. 13, 2025
Background The 2021 Global Burden of Disease (GBD) study shows a continuous increase in the burden chronic kidney disease due to diabetes mellitus type 2 (CKD-T2DM) from 1990 2021. This examines influence dietary risk factors across various populations and socioeconomic groups. Methods Utilizing GBD data, we analyzed age-standardized CKD-T2DM metrics—including mortality, disability-adjusted life years (DALY), rates (ASR)—stratified by age, gender, region. employs estimated annual percentage changes (EAPC) monitor temporal trends project future 2022 2035 using bayesian age-period-cohort (BAPC) analysis. Results results indicate that, 2021, 20.55% mortality 23.21% DALY were attributed poor diets, especially those low fruits high red processed meat. Throughout this period, both associated with risks increased significantly, most rapid diet sugar-sweetened beverages, highlighting considerable impact on global landscape. Geographic disparities T2DM are evident, significant increases (ASMR) (ASDR) observed regions such as high-income North America Central Latin America. Socio-demographic index (SDI) is negatively correlated attributable factors. Conclusion Public health interventions that target can significantly reduce CKD-T2DM.
Language: Английский
Citations
0
Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12
Published: Feb. 4, 2025
Background The effects of multivitamin exposure on depression among patients with chronic kidney disease (CKD) have not been thoroughly explored. This study aimed to explore the individual vitamin intakes and joint effect intake multiple vitamins (including A, B 1 , 2 6 12 C, D, E, K) risk in participants CKD. Methods A total 3,123 CKD (weighted n = 25,186,480) from National Health Nutrition Examination Survey database 2007 2014 were included. Weighted multivariate logistic regression models utilized analyze associations dietary risk. Additionally, Bayesian kernel machine (BKMR) weighted quantile sum (WQS) performed evaluate nine Results overall prevalence was approximately 11.3% participants. In fully adjusted model, high (OR: 0.54, 95% CI: 0.40–0.74), 0.67, 0.48–0.95), 0.70, 0.49–0.99), D 0.67. 0.48–0.94), K 0.61, 0.44–0.85) associated a reduced likelihood depression. BKMR WQS showed that had significant negative depression, being largest contributor two models. Lastly, reflected mixed 0.82, 0.69–0.99). Conclusion High are low Furthermore, co-exposure is crucial factor contributing this population.
Language: Английский
Citations
0
International Urology and Nephrology, Journal Year: 2025, Volume and Issue: unknown
Published: March 5, 2025
Glomerulonephritis (GN), one of the primary causes chronic kidney disease (CKD), is gaining recognition as a major public health issue. This research sought to evaluate worldwide impact due glomerulonephritis (GN-CKD) between 1990 and 2021 forecast trends up 2036, leveraging data from Global Burden Disease (GBD) study. The analysis GN-CKD utilized GBD open secondary dataset examine global prevalence, deaths, disability-adjusted life years (DALYs), age-standardized rates GN-CKD, changing these indicators were statistically analyzed. To assess practical difference each country/region frontier, we DALYs Socio-Demographic Index (SDI). assist healthcare institutions in formulating more effective policies, mortality rate until 2036 predicted using Bayesian age-period-cohort (BAPC) modeling techniques. prevalence indicated by (ASPR), grew 10.81% 2021, with marginal average annual change 0.04 (AAPC0.04, 0.03-0.05). Similarly, there was an increase 15.84% death (ASDR) for during this period, trend 0.50 (AAPC0.50, 0.41-0.59). Moreover, (ASYR) observed upward 8.60% modest 0.27 (AAPC0.27, 0.17-0.37). Our findings indicate that differs across gender, geographic areas, socioeconomic statuses. Elevated fasting plasma glucose levels, high body-mass index (BMI), elevated systolic blood pressure main contributors deaths (DALYs). Fortunately, burden expected diminish 2036. has risen, variations genders SDI regions. Encouraging point toward potential reduction GN-CKD-related future.
Language: Английский
Citations
0
Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16
Published: March 26, 2025
Background Global T1DM incidence in children and adolescents is rising, leading to Chronic Kidney Disease due Type 1 Diabetes Mellitus (CKD-T1DM), a critical public health concern. Severe cases evolve into end-stage kidney disease (ESKD), requiring dialysis or transplantation, severely impacting quality of life imposing substantial burdens. Methods This study used Burden (GBD) data analyze global regional CKD-T1DM incidence, prevalence, mortality, Disability-Adjusted Life Years (DALYs) rates (1990-2021). It calculated age-standardized ratios estimated annual percentage change (EAPC), presenting findings via maps comparing age-specific burdens mortality patterns. Findings From 1990 2021, prevalence increased globally, while DALYs declined. Middle SDI (Socio-Demographic Index) nations saw surge new cases, contrasting with High countries’ success reducing DALYs. Male were higher than those females, notable rises Eastern Europe, Central Latin America, drops East Asia. The 10-14 age group exhibited the 15-19 Interpretation management faces challenges. Future research should focus on SDI-specific needs, resource allocation, awareness, community education. Early detection comprehensive protection are crucial, especially middle low countries high-incidence areas.
Language: Английский
Citations
0
Cureus, Journal Year: 2024, Volume and Issue: unknown
Published: April 3, 2024
Fasting during the month of Ramadan is a religious practice observed by millions Muslims worldwide, including those with chronic kidney disease (CKD). This comprehensive review aims to reflect upon impacts fasting on CKD patients, excluding renal replacement therapy, through an analysis clinical trials, observational studies, and expert reviews from diverse geographic methodological backgrounds. It addresses function stability, broader health considerations, hydration electrolyte balance, individual variability in responses, biochemical effects, nutritional metabolic effects. reveals that, appropriate monitoring, dietary management, individualized care plans, many patients can safely participate without adversely affecting their or overall health. emphasizes need for multidisciplinary approach patient education, pre-Ramadan assessment, post-Ramadan follow-up. Furthermore, it highlights importance considering comorbidities guidance underscores necessity future research develop robust, patient-centered guidelines. provide healthcare professionals evidence-based recommendations support wishing observe fasting, ensuring safety optimizing outcomes.
Language: Английский
Citations
3
Diabetic Medicine, Journal Year: 2024, Volume and Issue: unknown
Published: July 11, 2024
Abstract Diabetes is the commonest cause of end stage kidney disease globally, accounting for almost 40% new cases requiring renal replacement therapy. Management diabetes in people with advanced on therapy challenging due to some unique aspects assessment and treatment this group patients. Standard glycaemic using glycated haemoglobin may not be valid such patients altered red blood cell turnover or iron/erythropoietin deficiency, leading changed longevity. Therefore, use continuous glucose monitoring beneficial enable more focussed improved adjustment People at higher risk hypoglycaemia a number physiological mechanisms, addition, therapeutic options are limited lack experience license. Insulin basis many other drugs classes being contraindicated. Targets control should adjusted according co‐morbidity frailty, used dialysis ensure low hypoglycaemia. Post‐transplant common amongst undergoing solid organ transplantation confers greater mortality morbidity transplant recipients. It actively screened managed post‐transplant setting.
Language: Английский
Citations
1
Renal Failure, Journal Year: 2024, Volume and Issue: 46(2)
Published: Dec. 11, 2024
Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential improve prediction of CKD progression, offering increased accuracy over traditional methods. Therefore, this systematic review and meta-analysis examine diagnostic performance various AI models in predicting CKD.
Language: Английский
Citations
0