Mortality from various causes is higher in patients on chronic hemodialysis (HD) than in the general population. There is evidence suggesting that some of the deaths in HD patients are preventable. To identify potentially preventable causes of death, we analyzed deaths that occurred in HD patients during hospitalization over a period of 15 years. We performed a retrospective cohort analysis of 410 patients on HD for at least 6 months between 1995 and 2009 (included), who had all their hospitalizations in the same hospital. The patients were classified into 3 groups: Those who died during hospitalization (group A, n=120), those who died away from the hospital (group B, n=135), and those who were alive at the end of the observation period (group C, n=155). Continuous variables were compared between groups by the Kruskall-Wallis statistic. Logistic regression was used to identify predictors of dying during the observation period and predictors of death in the hospital. For the whole HD group of 410 patients, only 9 (2.2%) were women. 59% of the patients had diabetes mellitus. Age at the onset of HD was 65.8 ± 11.5 years and the duration of HD was 34.4 ± 27.9 months. Group A patients had a higher annual rate and duration of hospitalization and a higher Charlson comorbidity index than either of the other 2 groups, and, in comparison with patients in group C, were older at the end of observation and had a shorter duration of HD. Cardiac disease (19.2%), vascular access complications (18.3%), peripheral vascular disease (16.7%), infections (15.8%), trauma (11.7%), central nervous system disease (7.5%), respiratory failure (4.2%), malignancy (3.3%), and gastrointestinal disease (3.3%) were the causes of the last hospitalization in group A. Compared with the patients who died during hospitalization without discontinuing HD, group A patients who discontinued HD had a longer duration of their last hospitalization (52.7 ± 77.7 vs. 14.3 ± 23.8 days, P<0.001). Discontinuation of HD occurred in 80% of the hospitalizations for respiratory failure, 75% of the hospitalizations for malignancy, 57% of the hospitalizations for trauma, and 56% of the hospitalizations for central nervous system disease. Logistic regression identified a high Charlson index, advanced age, and short duration of HD as predictors of death, and an absence of diabetes, high Charlson index, prolonged annual duration of hospitalization, and short distance of the patient's domicile from the dialysis unit as predictors of death in the hospital. A substantial number of hospitalizations leading to the death of HD patients are caused by potentially preventable conditions, including vascular access complications, peripheral vascular disease, and trauma. Implementation of measures preventing these hospitalizations is a worthwhile undertaking.
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http://dx.doi.org/10.1111/j.1542-4758.2010.00485.x | DOI Listing |
AIDS Care
January 2025
Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Violence experience, interpersonal and community-level, is commonly reported by people living with HIV (PLWH). Understanding the impact of the various forms of violence on HIV outcomes is critical for prioritizing violence screening and support resources in care settings. From February 2021 to December 2022, among 285 PLWH purposively sampled to attain diversity by gender, race/ethnicity, and HIV care retention status in Atlanta, Georgia, we examined interpersonal and community violence experiences and proxy measures of violence (post-traumatic stress disorder (PTSD), anxiety, depression) and their associations with HIV outcomes (engagement and retention in care and HIV viral suppression) using multivariable analysis.
View Article and Find Full Text PDFSports Health
January 2025
Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.
Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.
Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
JMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
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