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CC BY-NC-ND 4.0 · Ibnosina Journal of Medicine and Biomedical Sciences 2022; 14(01): 035-040
DOI: 10.1055/s-0042-1748776
Original Article

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

Mustafa Korkut 
1   Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya, Turkey
,
Cihan Bedel
1   Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya, Turkey
,
Fatih Selvi
1   Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya, Turkey
,
Ökkeş Zortuk 
1   Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya, Turkey
› Institutsangaben Funding and Sponsorship None.
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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, sensitivity:70.4%, andspecificity:71%(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.

Keywords

COVID-19 severity - peripheral perfusion index - emergency department

Availability of Data and Materials

All data, tables, and figures used in the manuscript were prepared originally by the authors; if otherwise, the sources are cited. Furthermore, the authors can share any data and materials that are reported in the study.


Informed Consent

Written informed consent was obtained from the patients or their family members.


Human Rights

This research does not harm human rights regarding Ethical Principles for Medical Research Involving Human Subjects.


Authors' Contributions

The authors conducted the study and developed the manuscript and approved its final version.


Medical practices: C.B., M.K., Concept: C.B., M.K., F.S., Design: C.B., M.K., Data collection or processing: F.S., O.Z., Analysis or interpretation: C.B., M.K., Literature search: C.B., F.S., M.K., O.Z., Writing: C.B., M.K.


Ethical Approval

Permission was obtained from the local ethics committee for the study at Health Science University Antalya Education and Research Hospital with decision date and number was 04.03.2021 and 1/35.




Publikationsverlauf

Artikel online veröffentlicht:
09. Juni 2022

© 2022. The Libyan Authority of Scientific Research and Technology and the Libyan Biotechnology Research Center. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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