Objectives: Hyperthermia (>38∘C) or hypothermia (<36∘C) are one of the clinical diagnostics septic patients which may results in poor outcomes. The aim of our study is to investigate the predictive efficacy of maximum temperature (Tmax), average temperature (Tavg), and temperature variance (%Tvar) on the early, late, and overall 28-daymortalityin critically ill patients who are taking norepinephrine and intravenous (IV) paracetamol.
Methods: A retrospective analysis was conducted in our adult ICU between April 2017 and Sep 2018 who were their tested temperature variables (Tmax, Tavg, %Tvar)can be obtained.All patient’s continuous variables were expressed as mean± SD by using the independent samples T-test or as numbers with percentages by using χ2 test.A receiver operating characteristic (ROC) and sensitivity analyses will be conducted to compare the prognostic ability, optimal cutoff points of the 3 tested prognosticators
Results: The mean overall age was 58.37±9.96 years, and 112 subjects (68.71%) were male. The overall 28-day, early, and late ICU mortality rate were 39.26% (64 patients), 9.82% (16 patients), and 29.45% (48 patients), respectively. Survivors had also significantly lower Tavg, Tmax, and %Tvar (37.38±0.40 ͦC, 38.35±0.47 ͦC, and 7.78%±2.53%) than nonsurvivors (37.99±0.57 ͦC, 38.35±0.47 ͦC, and 10.48%±1.91%).The AUROCs of %Tvar in this study were significantly greater than those of Tmaxand Tavgamong all stratified mortalities.
Conclusion: %Tvar is an effective, no-cost bedside modality, realistic, reliable, and discriminative prognosticator with high sensitivity, specificity, performance, and accuracy when compared with the other 2 analogue temperature prognosticators to predict early, late, and overall 28-day ICU mortality.
