Surgical Intensive care unit admission variables predict subsequent readmission

Matthew E. Lissauer, Jose J. Diaz, Mayur Narayan, Paulesh K. Shah, Nader N. Hanna

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Intensive care unit (ICU) readmissions are associated with increased resource use. Defining predictors may improve resource use. Surgical ICU patients requiring readmission will have different characteristics than those who do not. We conducted a retrospective cohort study of a prospectively maintained database. The Acute Physiology and Chronic Health Evaluation (APACHE) IV quality database identified patients admitted January 1 through December 31, 2011. Patients were divided into groups: NREA = patients admitted to the ICU, discharged, and not readmitted versus REA = patients admitted to the ICU, discharged, and readmitted. Comparisons were made at index admission, not readmission. Categorical variables were compared by Fisher's exact testing and continuous variables by t test. Multivariate logistic regression identified independent predictors of readmission. There were 765 admissions. Seventy-seven patients required readmission 94 times (12.8% rate). Sixty-two patients died on initial ICU admission. Admission severity of illness was significantly higher (APACHE III score: 69.54 ± 21.11 vs 54.88 ± 23.48) in the REA group. Discharge acute physiology scores were equal between groups (47.0 ± 39.2 vs 44.2 ± 34.0, P = nonsignificant). In multivariate analysis, REA patients were more likely admitted to emergency surgery (odds ratio, 1.9; 95% confidence interval, 1.01 ± 3.5) more likely to have a history of immunosuppression (2.7, 1.4 ± 5.3) or higher Acute Physiology Score (1.02; 1.0 ± 1.03) than NREA. Patients who require ICU readmission have a different admission profile than those who do not "bounce back". Understanding these differences may allow for quality improvement projects such as instituting different discharge criteria for different patient populations. Copyright Southeastern Surgical Congress.

Original languageEnglish (US)
Pages (from-to)583-588
Number of pages6
JournalAmerican Surgeon
Volume79
Issue number6
StatePublished - Jun 1 2013

Fingerprint

Critical Care
Intensive Care Units
Patient Readmission
APACHE
Databases
Quality Improvement
Immunosuppression
Emergencies
Cohort Studies
Multivariate Analysis
Retrospective Studies
Logistic Models
Odds Ratio
Confidence Intervals
Population

ASJC Scopus subject areas

  • Surgery

Cite this

Lissauer, M. E., Diaz, J. J., Narayan, M., Shah, P. K., & Hanna, N. N. (2013). Surgical Intensive care unit admission variables predict subsequent readmission. American Surgeon, 79(6), 583-588.

Surgical Intensive care unit admission variables predict subsequent readmission. / Lissauer, Matthew E.; Diaz, Jose J.; Narayan, Mayur; Shah, Paulesh K.; Hanna, Nader N.

In: American Surgeon, Vol. 79, No. 6, 01.06.2013, p. 583-588.

Research output: Contribution to journalArticle

Lissauer, ME, Diaz, JJ, Narayan, M, Shah, PK & Hanna, NN 2013, 'Surgical Intensive care unit admission variables predict subsequent readmission', American Surgeon, vol. 79, no. 6, pp. 583-588.
Lissauer, Matthew E. ; Diaz, Jose J. ; Narayan, Mayur ; Shah, Paulesh K. ; Hanna, Nader N. / Surgical Intensive care unit admission variables predict subsequent readmission. In: American Surgeon. 2013 ; Vol. 79, No. 6. pp. 583-588.
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