Evidence map›Paper›PMID 39165963›Full record

ArticleHeliyon2024

Can peripheral perfusion index predict disease mortality in COVID-19 patients in the emergency department.

Mehmet Gokhan Kaya, Ahmet Demir, Mehmet Reha Yilmaz, Kivanc Karaman

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mehmet Gokhan KayaEmergency Medicine Service, Yatagan State Hospital, Yatagan, Mugla, Turkey.
Ahmet DemirDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Koçman University, Mugla, Turkey.
Mehmet Reha YilmazDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Koçman University, Mugla, Turkey.
Kivanc KaramanDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Koçman University, Mugla, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus 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. Methods: This 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. Results: In 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:1.211-6583)], PPI <2,15 [HR:2485 (95 % CI:1.194-5.175)], Oxygen saturation <87 % [HR:2258 (95 % CI:1.191-4.282)], and WBC >9680 x10 Conclusions: This 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.

Indexed as

COVID-19Emergency departmentIn-hospital mortalityPeripheral perfusion index

Identifiers

PMID39165963
PMCPMC11334875

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.