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Factors associated with change in resuscitation preference of seriously ill patients. The SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments.

Publication ,  Journal Article
Rosenfeld, KE; Wenger, NS; Phillips, RS; Connors, AF; Dawson, NV; Layde, P; Califf, RM; Liu, H; Lynn, J; Oye, RK
Published in: Arch Intern Med
July 22, 1996

BACKGROUND: During serious illness, patient preferences regarding life-sustaining treatments play an important role in medical decisions. However, little is known about life-sustaining preference stability in this population or about factors associated with preference change. METHODS: We evaluated 2-month cardiopulmonary resuscitation (CPR) preference stability in a cohort of 1590 seriously ill hospitalized patients at 5 acute care teaching hospitals. Using multiple logistic regression, we measured the association of patient demographic and health-related factors (quality of life, function, depression, prognosis, and diagnostic group) with change in CPR preference between interviews. RESULTS: Of 1590 patients analyzed, 73% of patients preferred CPR at baseline interview and 70% chose CPR at follow-up. Preference stability was 80% overall-85% in patients initially preferring CPR and 69% in those initially choosing do not resuscitate (DNR). For patients initially preferring CPR, older age, non-African American race, and greater depression at baseline were independently associated with a change to preferring DNR at follow-up. For patients initially preferring DNR, younger age, male gender, less depression at baseline, improvement in depression between interviews, and an initial admission diagnosis of acute respiratory failure or multiorgan system failure were associated with a change to preferring CPR at follow-up. For patients initially preferring DNR, patients with substantial improvements in depression score between interviews were more than 5 times as likely to change preference to CPR than were patients with substantial worsening in depression score. CONCLUSIONS: More than two thirds of seriously ill patients prefer CPR for cardiac arrest and 80% had stable preferences over 2 months. Factors associated with preference change suggest that depression may lead patients to refuse life-sustaining care. Providers should evaluate mood state when eliciting patients' preferences for life-sustaining treatments.

Duke Scholars

Published In

Arch Intern Med

ISSN

0003-9926

Publication Date

July 22, 1996

Volume

156

Issue

14

Start / End Page

1558 / 1564

Location

United States

Related Subject Headings

  • Resuscitation Orders
  • Patients
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models
  • Humans
  • Hospitalization
  • General & Internal Medicine
  • Female
 

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Rosenfeld, K. E., Wenger, N. S., Phillips, R. S., Connors, A. F., Dawson, N. V., Layde, P., … Oye, R. K. (1996). Factors associated with change in resuscitation preference of seriously ill patients. The SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Arch Intern Med, 156(14), 1558–1564.
Rosenfeld, K. E., N. S. Wenger, R. S. Phillips, A. F. Connors, N. V. Dawson, P. Layde, R. M. Califf, H. Liu, J. Lynn, and R. K. Oye. “Factors associated with change in resuscitation preference of seriously ill patients. The SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments.Arch Intern Med 156, no. 14 (July 22, 1996): 1558–64.
Rosenfeld KE, Wenger NS, Phillips RS, Connors AF, Dawson NV, Layde P, Califf RM, Liu H, Lynn J, Oye RK. Factors associated with change in resuscitation preference of seriously ill patients. The SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Arch Intern Med. 1996 Jul 22;156(14):1558–1564.

Published In

Arch Intern Med

ISSN

0003-9926

Publication Date

July 22, 1996

Volume

156

Issue

14

Start / End Page

1558 / 1564

Location

United States

Related Subject Headings

  • Resuscitation Orders
  • Patients
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models
  • Humans
  • Hospitalization
  • General & Internal Medicine
  • Female