Background And Aim: In this study, we used a national cohort of patients with Wilson's disease (WD) to investigate the admissions, mortality rates, and costs over the captured period to assess specific subpopulations at higher burden.
Methods: Patients with WD were selected using 2016-2019 National Inpatient Sample (NIS). The weighted estimates and patient data were stratified using demographics and medical characteristics. Regression curves were graphed to derive goodness-of-fit for each trend from which R2 and P values were calculated.
Results: Annual total admissions per 100 000 hospitalizations due to WD were 1075, 1180, 1140, and 1330 ( R2 = 0.75; P = 0.13) from 2016 to 2019. Within the demographics, there was an increase in admissions among patients greater than 65 years of age ( R2 = 0.90; P = 0.05) and White patients ( R2 = 0.97; P = 0.02). Assessing WD-related mortality rates, there was an increase in the mortality rate among those in the first quartile of income ( R2 = 1.00; P < 0.001). The total cost for WD-related hospitalizations was $20.90, $27.23, $24.20, and $27.25 million US dollars for the years 2016, 2017, 2018, and 2019, respectively ( R2 = 0.47; P = 0.32). There was an increasing total cost trend for Asian or Pacific Islander patients ( R2 = 0.90; P = 0.05). Interestingly, patients with cirrhosis demonstrated a decreased trend in the total costs ( R2 = 0.97; P = 0.02).
Conclusion: Our study demonstrated that certain ethnicity groups, income classes and comorbidities had increased admissions or costs among patients admitted with WD.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11147697 | PMC |
http://dx.doi.org/10.1097/MEG.0000000000002777 | DOI Listing |
Kidney360
January 2025
Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Centre, 3901 Rainbow Blvd, MS3002, Kansas City, KS, USA.
Background: Patient involvement in research can help to ensure that the evidence generated aligns with their needs and priorities. In the Establishing Meaningful Patient-Centered Outcomes With Relevance for Patients with Polycystic Kidney Disease (EMPOWER PKD) project we aimed to identify patient-important outcomes and discuss the impact of PKD on patients.
Methods: Nine focus groups were held with adult patients with PKD, caregivers, and clinical or research experts in PKD.
J Agric Food Chem
January 2025
Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Inadvertent exposure to aristolochic acids (AAs) is causing chronic renal disease worldwide, with aristolochic acid I (AA-I) identified as the primary toxic agent. This study employed chemical methods to investigate the mechanisms underlying the nephrotoxicity and carcinogenicity of AA-I. Aristolochic acid II (AA-II), which has a structure similar to that of AA-I, was investigated with the same methods for comparison.
View Article and Find Full Text PDFImportance: Fragility fractures result in significant morbidity.
Objective: To review evidence on osteoporosis screening to inform the US Preventive Services Task Force.
Data Sources: PubMed, Embase, Cochrane Library, and trial registries through January 9, 2024; references, experts, and literature surveillance through July 31, 2024.
JAMA Netw Open
January 2025
Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.
Importance: Adolescent and young adult (AYA) patients with advanced cancer often die in hospital settings. Data characterizing the degree to which this pattern of care is concordant with patient goals are sparse.
Objective: To evaluate the extent of concordance between the preferred and actual location of death among AYA patients with cancer.
Biometrics
January 2025
School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai 200433, China.
As a commonly employed method for analyzing time-to-event data involving functional predictors, the functional Cox model assumes a linear relationship between the functional principal component (FPC) scores of the functional predictors and the hazard rates. However, in practical scenarios, such as our study on the survival time of kidney transplant recipients, this assumption often fails to hold. To address this limitation, we introduce a class of high-dimensional partially linear functional Cox models, which accommodates the non-linear effects of functional predictors on the response and allows for diverging numbers of scalar predictors and FPCs as the sample size increases.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!