Introduction: Chronic kidney disease (CKD) has become more common in recent decades, putting significant strain on healthcare systems worldwide. CKD is a global health issue that can lead to severe complications such as kidney failure and death.
Objective: The purpose of this study was to investigate the actual causes of the alarming increase of kidney failure cases in Saudi Arabia using the supersaturated design analysis and edge design analysis.
Materials And Methods: A cross-sectional questionnaire was distributed to the general population in the KSA, and data were collected using Google Forms. A total of 401 responses were received. To determine the actual causes of kidney failure, edge and supersaturated designs analysis methods were used, which resulted in statistical significance. All variables were studied from factor h1 to factor h18 related to the causes of kidney failure.
Results: The supersaturated analysis method revealed that the reasons for the increase in kidney failure cases are as follows: h9(Bad diet), h8(Recurrent urinary tract infection), h1 (Not drinking fluids), h6 (Lack of exercise), h14 (drinking from places not designated for valleys and reefs), h18 (Rheumatic diseases), h10 (Smoking and alcohol consumption), h13 (Direct damage to the kidneys), h2 (take medications), h17 (excessive intake of soft drinks), h12 (Infection), h5 (heart disease), h3 (diabetes), h4 (pressure disease), h15 (Dyes used in X-rays), and h11 (The presence of kidney stones) are all valid. The design analysis method by edges revealed that the following factors contributed to an increase in kidney failure cases: h8 (Recurrent urinary tract infection), h6 (Lack of exercise), h7 (Obesity), and h11.
Conclusion: The findings showed that there were causes of kidney failure that led to the statistical significance, which is h8 (Recurrent urinary tract infection) and h11 (The presence of kidney stones).
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11357112 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309226 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Incident heart failure and recurrent coronary events following acute myocardial infarction.
Eur Heart J
January 2025
Center for Advanced Heart and Lung Disease and Baylor Heart and Vascular Institute, Baylor University Medical Center, 3410 Worth St, Ste 250, Dallas, TX 75226, USA.
Background And Aims: Recurrent myocardial infarction (MI) and incident heart failure (HF) are major post-MI complications. Herein, contemporary post-MI risks for recurrent MI and HF are described.
Methods: A total of 6804 patients with a primary discharge diagnosis of MI at 28 Baylor Scott & White Health hospitals (January 2015 to December 2021) were studied.
Impact of Race on Transplantation in Autosomal Dominant Polycystic Kidney Disease.
Clin J Am Soc Nephrol
January 2025
Section of Nephrology, University of Chicago Medicine.
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic cause of end-stage kidney disease (ESKD) and occurs without racial predilection. In general, non-White ESKD patients have less access to transplantation, especially living donor transplantation. We examined long-term outcomes of ADPKD-ESKD patients by self-reported race, with attention to the trajectory of Estimated Post-Transplant Survival (EPTS) scores over time.
View Article and Find Full Text PDFFollow-up biopsies with microvascular inflammation and persistent donor specific antibodies identify ongoing rejection in pediatric kidney transplant recipients.
Pediatr Nephrol
January 2025
Department of Pediatrics, University of California San Diego, 3020 Children's Way MC 5137, San Diego, CA, 92123, USA.
Background: Inadequate treatment of acute rejection (AR) in pediatric kidney transplant recipients (KTR) can contribute to early allograft failure. Serum creatinine is an insensitive marker of allograft function, especially in the pediatric population, and may not detect ongoing rejection after treatment. We evaluated the utility of follow-up biopsies to detect persistent inflammation and future episodes of rejection.
View Article and Find Full Text PDFFast and interpretable mortality risk scores for critical care patients.
J Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
Oedema index trajectories at heart failure nurse clinics over 6 months after acute heart failure predict patient outcomes: a retrospective cohort study.
Eur J Cardiovasc Nurs
January 2025
Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung 20401, Taiwan.
Aims: Fluid accumulation is associated with poor outcomes in patients with heart failure (HF). After acute HF, HF nurses provide home care suggestions based on oedema status assessed at outpatient clinics. However, the pattern of serial oedema changes and their associations with patient outcomes are unknown.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!