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Clusters Across Multiple Domains of Health-Related Quality of Life Reveal Complex Patient Outcomes After Subarachnoid Hemorrhage.
Murphy, Julianne; Shin, Hye Jung; Wang, Hanyin; Luo, Yuan; Jahromi, Babak; Bleck, Thomas P; Cella, David; Naidech, Andrew M.
Afiliação
  • Murphy J; Center for Education in Health Sciences, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Shin HJ; Institute for Public Health and Medicine, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Wang H; Department of Preventive Medicine, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Luo Y; Department of Preventive Medicine, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Jahromi B; Department of Neurological Surgery, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Bleck TP; Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Cella D; Department of Medical Social Sciences, Feinberg School of Medicine of Northwestern University, Chicago, IL.
  • Naidech AM; Institute for Public Health and Medicine, Feinberg School of Medicine of Northwestern University, Chicago, IL.
Crit Care Explor ; 3(9): e0533, 2021 Sep.
Article em En | MEDLINE | ID: mdl-34549191
ABSTRACT
Patients with aneurysmal subarachnoid hemorrhage (ruptured brain aneurysm) often have reduced health-related quality of life at follow-up in multiple domains (e.g., cognitive function and social function). We tested the hypothesis that there are distinct patterns of patient outcomes across domains of health-related quality of life, "complex patient outcomes," in survivors of subarachnoid hemorrhage.

DESIGN:

Patients with subarachnoid hemorrhage were prospectively identified. Clinical data were prospectively recorded. Health-related quality of life was prospectively assessed at 3-month follow-up using the National Institutes of Health Patient Reported Outcomes Measurement Information System and neuro-quality of life in the domains of mobility, cognitive function, satisfaction with social roles, and depression. We used k-means clustering to analyze prospectively recorded health-related quality of life data, identifying clusters of complex patient outcomes. Decision tree analysis identified index hospital stay factors predictive of a patient having a particular complex patient outcome at follow-up.

SETTING:

Academic medical center. PATIENTS One hundred three survivors of subarachnoid hemorrhage.

INTERVENTIONS:

None. MEASUREMENTS AND MAIN

RESULTS:

We analyzed 103 patients, of whom 75 (72.8%) were female, and mean age was 53.6 ± 13.4 years. There were three complex patient

outcomes:

health-related quality of life greater than 1 sd better than the U.S. mean across all domains (n = 23, 22.3%), health-related quality of life greater than 1 sd worse than U.S. mean across all domains (n = 26, 25.2%), and satisfaction with social roles greater than 0.5 sd worse than U.S. mean with cognitive function, depression, and mobility scores near the U.S. mean (n = 54, 52.4%). In decision tree analysis, hospital disposition and Hunt and Hess Grade were associated with complex patient outcome.

CONCLUSIONS:

Complex patient outcomes across multiple domains of health-related quality of life at follow-up after subarachnoid hemorrhage are distinct and may be predictable.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article