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Patient-reported predictors of postdischarge mortality after cardiac hospitalization.
Nair, Devika; Schildcrout, Jonathan S; Shi, Yaping; Trochez, Ricardo; Nwosu, Sam; Bell, Susan P; Mixon, Amanda S; Welch, Sarah A; Goggins, Kathryn; Bachmann, Justin M; Vasilevskis, Eduard E; Cavanaugh, Kerri L; Rothman, Russell L; Kripalani, Sunil B.
Afiliación
  • Nair D; Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Schildcrout JS; Vanderbilt Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Shi Y; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Trochez R; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Nwosu S; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Bell SP; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Mixon AS; Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Welch SA; Section of Hospital Medicine, Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Goggins K; Department of Veterans Affairs, Geriatric Research Education and Clinical Center (GRECC), Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
  • Bachmann JM; Department of Veterans Affairs, Geriatric Research Education and Clinical Center (GRECC), Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
  • Vasilevskis EE; Department of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cavanaugh KL; Vanderbilt Center for Health Services Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Rothman RL; Section of Hospital Medicine, Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Kripalani SB; Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
J Hosp Med ; 19(6): 475-485, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38560772
ABSTRACT

BACKGROUND:

Adults hospitalized for cardiovascular events are at high risk for postdischarge mortality. Screening of psychosocial risk is prioritized by the Joint Commission. We tested whether key patient-reported psychosocial and behavioral measures could predict posthospitalization mortality in a cohort of adults hospitalized for a cardiovascular event.

METHODS:

We conducted a prospective cohort study to test the prognostic utility of validated patient-reported measures, including health literacy, social support, health behaviors and disease management, and socioeconomic status. Cox survival analyses of mortality were conducted over a median of 3.5 years.

RESULTS:

Among 2977 adults hospitalized for either acute coronary syndrome or acute decompensated heart failure, the mean age was 53 years, and 60% were male. After adjusting for demographic, clinical, and other psychosocial factors, mortality risk was greatest among patients who reported being unemployed (hazard ratio [HR] 1.99, 95% confidence interval [CI]) 1.30-3.06), retired (HR 2.14, 95% CI 1.60-2.87), or unable to work due to disability (HR 2.36, 95% CI 1.73-3.21), as compared to those who were employed. Patient-reported perceived health competence (PHCS-2) and exercise frequency were also associated with mortality risk after adjusting for all other variables (HR 0.86, 95% CI 0.73-1.00 per four-point increase in PHCS-2; HR 0.86, 95% CI 0.77-0.96 per 3-day increase in exercise frequency, respectively).

CONCLUSIONS:

Patient-reported measures of employment status, perceived health competence, and exercise frequency independently predict mortality after a cardiac hospitalization. Incorporating these brief, valid measures into hospital-based screening may help with prognostication and targeting patients for resources during post-discharge transitions of care.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Hospitalización Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Hospitalización Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article