Can Peripheral Perfusion Index Predict Disease Mortality in COVID-19 Patients in the Emergency Department

Abstract

BackgroundCoronavirus disease 2019 (COVID-19) pneumonia remains a major public health concern. The prognostic efficacy of Peripheral Perfusion Index (PPI) has been researched in different pathologies such as trauma and sepsis. We hypothesized that PPI may serve as predictor of mortality in hospitalized patients with COVID-19 infection. This study aimed to describe the association between PPI at admission and COVID-19 mortality, a new mortality prediction tool. MethodsThis retrospective, observational study was conducted at a tertiary care center in Turkey. Adult patients diagnosed with COVID-19 infection were enrolled in this study between Februrary 15, 2022 to April 15, 2023. Patient demographic and clinical data including vital signs, laboratory parameters and PPI on admission were collected from an electronic database. PPI was measured using Philips G30E patient monitor system. The primary outcome was in-hospital mortality. ResultsIn total, 200 patients with COVID-19 infection were included and 42 (21%) in-hospital deaths were identified. For all parameters of study, age, oxygen saturation, respiratory rate, PPI, urea, creatinine, White Blood Cell (WBC), and High-sensitive cardiac Troponin T (hs-cTnT) values were significantly different between survivors vs non-survivors. hs-cTnT >21,25 pg/mL[HR:2.823 (95% CI:1.211– 6,583)], PPI <2,15 [HR:2,485 (95% CI:1.194–5.175)], Oxygen saturation <87% [HR:2,258 (95% CI:1.191–4.282)], and WBC >9680 x103/ml [HR:2.124 (95% CI:1.083–4.163)] were independent predictors of in-hospital mortality. ConclusionsThis study identified the factors affecting in-hospital mortality among COVID-19 patients. Importantly, besides many parameter, PPI at admission was significantly associated with COVID-19 mortality and could be a feasible marker in emergency department to identify high risk patients.