Background: Data regarding pre-existing comorbidities is often poorly recorded in trauma registries, and reports of their impact on outcomes are conflicting. Additionally, many previous reports, when conducting data analysis, do not reliably account for differences in case and control cohorts. Our objective was to identify a subset of patients with reliable comorbidity and complication data in the National Trauma Data Bank (NTDB) in order to determine the impact of select chronic organ system dysfunction on morbidity and mortality using case-control methodology.
Study Design: We analyzed a refined dataset from NTDB 7.1 (2002 to 2006) containing admissions to Level 1 and 2 trauma centers, which specified using chart abstraction to document comorbidities and complications. Patients with a history of cirrhosis, dialysis, HIV, and warfarin therapy were compared with a 2:1 case-matched control group. Data regarding age; Injury Severity Score (ISS); ventilator, ICU, and hospital lengths of stay; complications; and mortality were obtained. Pearson's chi-square, Fisher's exact test, and the t-test were used to compare demographics and outcomes of each comorbidity group. A p value < 0.05 was considered significant.
Results: After case-control matching, pre-existing cirrhosis, dialysis, and warfarin therapy were found to be risk factors for both complications and mortality; HIV/AIDS was found to be a risk factor only for complications.
Conclusions: Chronic hepatic failure, end-stage renal disease, immunodeficiency, and acquired coagulopathy are associated with higher resource use, complication rates, and mortality in a refined subset of NTDB patients.
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http://dx.doi.org/10.1016/j.jamcollsurg.2010.09.028 | DOI Listing |
J Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFJ Infect Dis
January 2025
Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Italy.
Background: To assess the impact of attaining aggressive beta-lactam pharmacokinetic/pharmacodynamic (PK/PD) targets on clinical efficacy in critical orthotopic liver transplant (OLT) recipients with documented early Gram-negative infections.
Methods: OLT recipients admitted to the post-transplant ICU between June 2021 and May 2024 having documented Gram-negative infections treated with targeted therapy continuous infusion (CI) beta-lactams, and undergoing therapeutic drug monitoring (TDM)-guided beta-lactam dosing adjustment in the first 72 hours were prospectively enrolled. Free steady-state concentrations (fCss) of beta-lactams (BL) and/or of beta-lactamase inhibitors (BLI) were calculated, and aggressive PK/PD target attainment was measured.
PLoS One
January 2025
Equity Research and Innovation Center, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Background: Accurate assessment of cardiovascular disease (CVD) risk is crucial for effective prevention and resource allocation. However, few CVD risk estimation tools consider social determinants of health (SDoH), despite their known impact on CVD risk. We aimed to estimate 10-year CVD risk in the Eastern Caribbean Health Outcomes Research Network Cohort Study (ECS) across multiple risk estimation instruments and assess the association between SDoH and CVD risk.
View Article and Find Full Text PDFPLoS One
January 2025
Postgraduate Program in Family Health (RENASF), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Introduction: Continuing Health Education is a strategy that integrates learning into the work process to transform health practices. Primary health care has proved to be a powerful space for consolidating continuing education, as it promotes reflection and learning based on the local singularities of the territory. Continuing health education is an important strategy for transforming the reality of Primary health care, reinventing work, and consequently changing practices.
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