Can Peripheral Perfusion Index (PPI) Predict Disease Severity in COVID-19 Patients in the Emergency Department?

ABSTRACT

Background Coronavirus disease 2019 (COVID-19) causes significant mortality and morbidity in severe patients. Objective In this study, we aimed to examine the relationship between COVID-19 disease severity and peripheral perfusion index (PPI). Patients and Methods This prospective observational study included COVID-19 patients admitted to the tertiary hospital emergency department. Basal clinical and demographic data of the patients and PPI values at the time of admission were recorded. The patients were categorized to severe and nonsevere groups according to clinical severity. The relationship between COVID-19 severity and PPI was examined in comparison with the control group. Results A total of 324 patients who met the inclusion criteria were analyzed. COVID-19 (+) was detected in 180 of these patients. Ninety-two of the COVID-19 (+) patients were in the severe group, and 88 of them were in the non severe group. Note that 164 COVID-19 (-) patients were in the control group. PPI average was found to be 1.44 +/- 1.12 in the severe group, and 3.69 +/- 2.51 in the nonsevere group. PPI average was found to be significantly lower in the severe group than the nonsevere group ( p < 0.01) As for the nonsevere group and control group, PPI averages were found to be 3.69 +/- 2.51 and3.54 +/- 2.32, respectively, and a significant difference was determined between the two groups ( p < 0.05). PPI COVID-19 severity predicting activity was calculated as area under the curve 0.833, sensitivity70.4%, andspecificity71%( p = 0.025) at 2.2 cutoff value. Conclusion The results of our study showed that PPI is an easy-to-apply and useful parameter in the emergency department in determining the severity of COVID-19 patients.