Development of an open-heart intraoperative risk scoring model for predicting a prolonged intensive care unit stay.

Abstract

BACKGROUND:

Based on a pilot study with 34 patients, applying the modified sequential organ failure assessment (SOFA) score intraoperatively could predict a prolonged ICU stay, albeit with only 4 risk factors. Our objective was to develop a practicable intraoperative model for predicting prolonged ICU stay which included more relevant risk factors.

METHODS:

An extensive literature review identified 6 other intraoperative risk factors affecting prolonged ICU stay. Another 168 patients were then recruited for whom all 10 risk factors were extracted and analyzed by logistic regression to form the new prognostic model.

RESULTS:

The multivariate logistic regression analysis retained only 6 significant risk factors in the model: age ≥ 60 years, PaO2/FiO2 ratio ≤ 200 mmHg, platelet count ≤ 120,000/mm(3), requirement for inotrope/vasopressor ≥ 2 drugs, serum potassium ≤ 3.2 mEq/L, and atrial fibrillation grading ≥ 2. This model was then simplified into the Open-Heart Intraoperative Risk (OHIR) score, comprising the same 6 risk factors for a total score of 7-a score of ≥ 3 indicating a likely prolonged ICU stay (AUC for ROC of 0.746).

CONCLUSIONS:

We developed a new, easy to calculate OHIR scoring system for predicting prolonged ICU stay as early as 3 hours after CPB. It comprises 6 risk factors, 5 of which can be manipulated intraoperatively.

• Authors: Sirirat Tribuddharat, Thepakorn Sathitkarnmanee, Kriangsak Ngamsangsirisup, Somrat Charuluxananan, Cameron P Hurst, Suparit Silarat, Ganjana Lertmemongkolchai
• Journal: BioMed research international (Biomed Res Int) Vol. 2014 Pg. 158051 ( 2014) ISSN: 2314-6141 [Electronic] United States
• PMID: 24818129 (Publication Type: Journal Article)

Topics

• Cardiovascular Surgical Procedures
• Demography
• Female
• Humans
• Intensive Care Units
• Intraoperative Care
• Length of Stay
• Male
• Middle Aged
• Models, Theoretical
• Predictive Value of Tests
• Risk Factors
• Sensitivity and Specificity