Patients with end-stage renal disease (ESRD) are at a higher mortality risk compared with the general population. Previous studies have described a relationship between mortality and patients with ESRD, but the data on standardized mortality ratio (SMR) corresponding to different causes of death in patients undergoing hemodialysis (HD) and peritoneal dialysis (PD) are limited. This study was designed as a nationwide population-based retrospective cohort study. Incident dialysis patients between January 2000 and December 2015 in Taiwan were included. Using data acquired from the Taiwan Death Registry, SMR values were calculated and compared with the overall survival. The results showed there were a total of 128,966 patients enrolled, including 117,376 incident HD patients and 11,590 incident PD patients. It was found that 75,297 patients (58.4%) died during the period of 2000-2017. The overall SMR was 5.21. The neoplasms SMR was 2.11; the endocrine, nutritional, metabolic, and immunity disorders SMR was 13.53; the circulatory system SMR was 4.31; the respiratory system SMR was 2.59; the digestive system SMR was 6.1; and the genitourinary system SMR was 27.22. Therefore, more attention should be paid to these diseases in clinical care.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915131 | PMC |
http://dx.doi.org/10.3390/ijerph20032347 | DOI Listing |
JMIR Med Inform
December 2024
Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Background: Traditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial manual effort required to parse and extract information from diverse types of documentation. Recent advancements in large language model (LLM) technology have made it possible to automatically interpret medical context and support pathologic staging.
View Article and Find Full Text PDFPopul Health Manag
December 2024
Division of Population Science, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Lung cancer screening (LCS) rates are low, and lung cancer mortality is high in the United States. This report describes a strategy that health systems can use to identify LCS areas of need and engage associated primary care providers and patients in screening. A research team from Jefferson Health (JH), a large, urban health system, used geocoded standardized lung cancer mortality rates (SMRs) to identify zip codes in Philadelphia where lung cancer mortality is high.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
October 2024
Nanjing University of Chinese Medicine Nanjing 210023, China Jiangsu Society for Ageing Development Nanjing 210008, China.
The investigation of new strategies to prevent acute viral respiratory infections(ARI) is essential for reducing the global disease burden. Genetic association studies are valuable in identifying the susceptibility risk factors for diseases, and genetic evidence can expedite drug approval. To date, few studies have been conducted to reveal the susceptibility risks of ARI and identify novel drug targets through multi-omics genetic association analysis.
View Article and Find Full Text PDFEpidemiol Prev
December 2024
Dipartimento di Medicina, Epidemiologia, Igiene del lavoro e ambientale, Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro, Roma.
Objectives: to provide an overview of the geographical distribution of mesothelioma and asbestosis deaths in the Campania Region (Southern Italy) occurred from 2005 to 2018 and to identify areas at higher risk.
Design: for each municipality, Standardized Mortality Ratios (SMRs) for mesothelioma and asbestosis have been estimated from the mortality data provided by the Italian National Institute of Statistics (Istat). Deaths for which mesothelioma and asbestosis were identified as the underlying causes, according to the classification system ICD-10 codes (C45 and J61, respectively), were included.
Psoriasis (Auckl)
December 2024
Department of Dermatology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Background: Current pharmacological treatments for psoriasis are generally non-specific and have significant limitations, particularly in the realm of targeted biologic therapies. There is an urgent need to identify and develop new therapeutic targets to improve treatment options.
Objective: The aim of this study was to explore the proteome associated with psoriasis in large population cohorts to discover novel biomarkers that could guide therapy.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!