Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The world healthcare system is actively seeking possible solutions for the rapid growth of kidney disease threats. The Taiwan Renal Data System (TWRDS) was central in assisting kidney health and care policymaking to reduce end-stage kidney disease incidence and mortality. This article summarizes the TWRDS framework, recent applications, and developments to provide new insights for some international researchers to promote planetary kidney health. The TWRDS originated in 1987 for the accreditation and quality monitoring of dialysis units and was connected with enriched health claim databases after the implementation of universal national health insurance in Taiwan in 1995. As a healthcare information centre, TWRDS has published annual reports forming indispensable instructions for renal care improvement since 2014. The TWRDS possesses three main functions: (1) kidney disease surveillance; (2) offering rich materials for research purposes; (3) achieving precision prevention and care through complex algorithms. In the new era, TWRDS can help build a more resilient society against communicable disease threats by integrating remote sensor techniques for developing future remote healthcare structures, as well as identifying kidney health inequity populations and promoting healthcare resources distributed equity. The global healthcare system is facing escalating burdens of non-communicable disease care due to the rapidly growing elderly population. Therefore, a considerable-scale data system is an essential decision-supportive tool in promoting an evidence-based, resilient, sustainable, equity care environment. Undoubtedly, TWRDS experience is a practical example of leveraging healthcare providers' decisions, care outcomes, and renovation.

Download full-text PDF

Source
http://dx.doi.org/10.1111/nep.14228DOI Listing

Publication Analysis

Top Keywords

kidney disease
12
kidney health
12
taiwan renal
8
renal data
8
healthcare system
8
disease threats
8
data system
8
twrds
7
healthcare
6
kidney
6

Similar Publications

U-shaped association of body roundness index with all-cause and cardiovascular mortality in individuals with chronic kidney disease.

Ren Fail

December 2025

Department of Nephrology, Kidney Disease Medical Center, Tianjin Medical University General Hospital, National Key Clinical Specialty, Tianjin Key Medical Discipline, Tianjin, China.

Purpose: This study aimed to investigate the association between body roundness index (BRI) and deaths from all causes and cardiovascular disease (CVD) in participants with chronic kidney disease (CKD).

Materials And Methods: The data was sourced from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Cox proportional hazards regression along with restricted cubic splines were applied to assess the associations of BRI with deaths from all causes and CVD in individuals with CKD.

View Article and Find Full Text PDF

Epidemiology, resistance profiles, and risk factors of multidrug- and carbapenem-resistant Serratia marcescens infections: a retrospective study of 242 cases.

BMC Infect Dis

September 2025

Department of Laboratory Medicine, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.

Background: Serratia marcescens is an opportunistic pathogen increasingly associated with healthcare-associated infections and rising antimicrobial resistance. The emergence of multidrug-resistant (MDR) and carbapenem-resistant S. marcescens (CRSM) presents significant therapeutic challenges.

View Article and Find Full Text PDF

Background: Depression is a common mental disorder in hemodialysis patients. The present study aimed to identify subgroups of patients receiving hemodialysis based on depression and explore the influencing factors in a multicenter hemodialysis population in China.

Methods: A total of 1,090 hemodialysis patients (682 men, mean aged 61.

View Article and Find Full Text PDF

The Grams model, designed to predict adverse event risks in advanced chronic kidney disease (CKD) patients, was evaluated in a Chinese cohort of 1,333 patients with eGFR below 30 mL/min/1.73 m. The model demonstrated moderate to good discrimination across outcomes, performing well in predicting kidney replacement therapy (KRT) but overestimating the risks of cardiovascular disease (CVD) and mortality.

View Article and Find Full Text PDF