Predictors of intensive care unit utilization in gynecologic oncology surgery

Rachel Ruskin, Renata R. Urban, Alexander E. Sherman, Lee Lynn Chen, C. Bethan Powell, Daniel H. Burkhardt, Lee May Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objectives: The objectives of the study were to examine factors predicting intensive care unit (ICU) admission after surgery for gynecologic cancer and to determine the impact of ICU admission on survival. Methods: This was a retrospective study of women undergoing laparotomy for staging and debulking of gynecologic cancer at an academic hospital with tertiary ICU facilities from July 2000 through June 2003. Data on clinicopathologic factors, comorbidities, operative outcomes, and survival were obtained from medical records and institutional cancer registry. The χ 2 analysis, Kaplan-Meier analysis, and Cox regression methods were used for analyses. Results: Two hundred fifty-five patients met our inclusion criteria, 43 of whom had a postoperative admission to the ICU. Factors predicting ICU admission on univariate analysis included age 60 years or older, hematocrit of 30% or less, albumin of 3.5 g/dL or less, and Charlson Comorbidity Index (CCI) score greater than 8; after multivariate analysis, CCI score of greater than 8 (hazard ratio, 2.5; confidence interval, 1.11-5.69) and albumin of 3.5 or less (hazard ratio, 3.8; confidence interval, 1.66-8.85) were associated with an increased risk of ICU admission. After adjusting for albumin and CCI score, ICU admission did not have a significant effect on survival. Conclusions: The ability to predict ICU admission helps in appropriate counseling of patients and identification of institutional resource utilization.

Original languageEnglish (US)
Pages (from-to)1336-1342
Number of pages7
JournalInternational Journal of Gynecological Cancer
Volume21
Issue number8
DOIs
StatePublished - Nov 1 2011
Externally publishedYes

Fingerprint

Gynecologic Surgical Procedures
Intensive Care Units
Comorbidity
Albumins
Survival
Confidence Intervals
Neoplasms
Aptitude
Kaplan-Meier Estimate
Tertiary Healthcare
Hematocrit
Laparotomy
Medical Records
Registries
Counseling
Multivariate Analysis
Retrospective Studies

Keywords

  • Albumin
  • Charlson Comorbidity Index
  • Gynecologic oncology surgery
  • Hematocrit
  • Intensive care unit

ASJC Scopus subject areas

  • Obstetrics and Gynecology
  • Oncology
  • Medicine(all)

Cite this

Ruskin, R., Urban, R. R., Sherman, A. E., Chen, L. L., Powell, C. B., Burkhardt, D. H., & Chen, L. M. (2011). Predictors of intensive care unit utilization in gynecologic oncology surgery. International Journal of Gynecological Cancer, 21(8), 1336-1342. https://doi.org/10.1097/IGC.0b013e31822d0ed0

Predictors of intensive care unit utilization in gynecologic oncology surgery. / Ruskin, Rachel; Urban, Renata R.; Sherman, Alexander E.; Chen, Lee Lynn; Powell, C. Bethan; Burkhardt, Daniel H.; Chen, Lee May.

In: International Journal of Gynecological Cancer, Vol. 21, No. 8, 01.11.2011, p. 1336-1342.

Research output: Contribution to journalArticle

Ruskin, Rachel ; Urban, Renata R. ; Sherman, Alexander E. ; Chen, Lee Lynn ; Powell, C. Bethan ; Burkhardt, Daniel H. ; Chen, Lee May. / Predictors of intensive care unit utilization in gynecologic oncology surgery. In: International Journal of Gynecological Cancer. 2011 ; Vol. 21, No. 8. pp. 1336-1342.
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