Objective: To determine factors related to limitations on life support within 48h of intensive care unit (ICU) admission.
Study Design: Prospective multicenter study.
Setting: Eleven ICUs.
Patients: All patients who died and/or had limitations on life support after ICU admission during a four-month period.
Variables: Patient characteristics, hospital characteristics, characteristics of limitations on life support. Time-to-first-limitation was classified as early (<48h of admission) or late (≥48h). We performed univariate, multivariate analyses and CHAID (chi-square automatic interaction detection) analysis of variables associated with limitation of life support within 48h of ICU admission.
Results: 3335 patients were admitted; 326 (9.8%) had limitations on life support. A total of 344 patients died; 247 (71.8%) had limitations on life support (range among centers, 58.6%-84.2%). The median (p25-p75) time from admission to initial limitation was 2 (0-7) days. CHAID analysis found that the modified Rankin score was the variable most closely related with early limitations. Among patients with Rankin >2, early limitations were implemented in 71.7% (OR=2.5; 95% CI: 1.5-4.4) and lung disease was the variable most strongly associated with early limitations (OR=12.29; 95% CI: 1.63-255.91). Among patients with Rankin ≤2, 48.8% had early limitations; patients admitted after emergency surgery had the highest rate of early limitations (66.7%; OR=2.4; 95% CI: 1.1-5.5).
Conclusion: Limitations on life support are common, but the practice varies. Quality of life has the greatest impact on decisions to limit life support within 48h of admission.
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http://dx.doi.org/10.1016/j.medin.2018.03.010 | DOI Listing |
JMIR Cancer
January 2025
Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.
Background: "Patient Voices" is a software developed to promote the systematic collection of electronic patient-reported outcome measures (ePROMs) in routine oncology clinical practice.
Objective: This study aimed to assess compliance with and feasibility of the Patient Voices ePROM system and analyze patient-related barriers in an Italian comprehensive cancer center.
Methods: Consecutive patients with cancer attending 3 outpatient clinics and 3 inpatient wards were screened for eligibility (adults, native speakers, and being able to fill in the ePROMs) and enrolled in a quantitative and qualitative multimethod study.
J Med Internet Res
January 2025
Department of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.
Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care.
Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care.
Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.
Kidney360
January 2025
Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Background: 'Life Years from Transplant' (LYFT) is a measure of the predicted difference between the expected lifespan with and without a kidney transplant. The metric was originally proposed in 1999; since then, demographics of the kidney transplant candidate population have materially changed.
Methods: Using contemporary SRTR data, we propose more sophisticated methods for estimating LYFT with a focus on older kidney transplant candidates, a growing sector of the current candidate pool.
Blood Adv
January 2025
University of Massachusetts Boston, Boston, Massachusetts, United States.
Although lymphoma and myeloma confer physical and psychological burden, data are limited regarding anxiety and depression symptoms in affected patients. We conducted a survey between 07/2021 and 09/2022 to characterize anxiety and depression in a cohort of adult patients, within six months of a lymphoma or myeloma diagnosis. Clinically significant anxiety and depression symptoms were defined as scores ≥8 on the corresponding subscales of the Hospital Anxiety and Depression Scale.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
Eric Horvitz, Microsoft, Redmond, Washington.
The field of artificial intelligence (AI) has entered a new cycle of intense opportunity, fueled by advances in deep learning, including generative AI. Applications of recent advances affect many aspects of everyday life, yet nowhere is it more important to use this technology safely, effectively, and equitably than in health and health care. Here, as part of the National Academy of Medicine's Vital Directions for Health and Health Care: Priorities for 2025 initiative, which is designed to provide guidance on pressing health care issues for the incoming presidential administration, we describe the steps needed to achieve these goals.
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