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Background: Aneurysmal subarachnoid hemorrhage (aSAH) carries high mortality rates and often requires critical family decisions about code status when complications occur. The American Heart Association provides treatment guidelines but acknowledges a significant knowledge gap regarding do-not-resuscitate or do-not-intubate (DNR/DNI) decisions in patients with aSAH, challenging clinicians in identifying appropriate timing for these discussions.
Aim: To identify demographic and clinical physiological factors associated with code status transition in adults with aSAH admitted to the intensive care unit, supporting value-based decision making through more informed and timely discussions between health care providers and families that align with patients' core values and preferences.
Methods: Retrospective cohort study analyzing Medical Information Mart for Intensive Care IV database (2008-2022) data from 731 patients with aSAH. Researchers collected demographics, vital signs, laboratory tests, disease severity scores, and code status transition, performing univariate and multivariate Cox regression analyses to identify significant predictors.
Results: Among patients initially with full-code status, 25.8% transitioned to DNR/DNI during hospitalization. Multivariate analysis identified four independent predictors: advanced age (hazard ratio [HR] = 1.024), lower mean blood pressure (HR = 0.987), higher simplified acute physiology score II (SAPS II) score (HR = 1.018, each one-point increase raises transition risk by 1.8%), and hospice services (HR = 6.951). Patients with code status limitations received less invasive therapy, more hospice services, and had higher mortality rates.
Conclusion: Age, blood pressure, SAPS II, and hospice services predict code status transitions in patients with aSAH. Identifying high-risk patients enables timely code status discussions, ensuring treatment aligns with patient values and improving family decision making during critical situations.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12410325 | PMC |
http://dx.doi.org/10.1089/pmr.2025.0015 | DOI Listing |
Palliat Med Rep
June 2025
Department of Nursing, Tamsui Mackay Memorial Hospital, New Taipei, Taiwan.
Background: Aneurysmal subarachnoid hemorrhage (aSAH) carries high mortality rates and often requires critical family decisions about code status when complications occur. The American Heart Association provides treatment guidelines but acknowledges a significant knowledge gap regarding do-not-resuscitate or do-not-intubate (DNR/DNI) decisions in patients with aSAH, challenging clinicians in identifying appropriate timing for these discussions.
Aim: To identify demographic and clinical physiological factors associated with code status transition in adults with aSAH admitted to the intensive care unit, supporting value-based decision making through more informed and timely discussions between health care providers and families that align with patients' core values and preferences.
Gift Child Q
October 2025
Université de Sherbrooke, Quebec, Canada.
While it is now argued that intellectual giftedness is not causally associated with well-being, the individual and environmental determinants associated remain empirically underexplored. Trying to fill this gap, this study investigated potential risk and protective factors on the well-being and mental health of 219 Canadian intellectually gifted adults. Exploratory transversal analyses were conducted between 11 determinants frequently evoked in the literature on intellectually gifted individuals and hedonic well-being (positive/negative affect; ∝ = .
View Article and Find Full Text PDFOpen Res Eur
July 2025
Department of Community Health, Great Lakes University of Kisumu, Kisumu, Kisumu County, Kenya.
Background: Young people living with HIV in Sub-Saharan Africa account for the largest proportion of the vulnerable population in the world. Kenya has little evidence to showcase the utilization of sexual and reproductive health services among young people living with HIV. Nairobi County has one of the highest HIV burdens among adolescents and youth in the country.
View Article and Find Full Text PDFJ Multidiscip Healthc
September 2025
School of Law, Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
The application of generative artificial intelligence (AI) technology in the healthcare sector can significantly enhance the efficiency of China's healthcare services. However, risks persist in terms of accuracy, transparency, data privacy, ethics, and bias. These risks are manifested in three key areas: first, the potential erosion of human agency; second, issues of fairness and justice; and third, questions of liability and responsibility.
View Article and Find Full Text PDF