TY - JOUR T1 - Correlation of Perfusion Indices with Disease Severity in COVID-19 Patients AU - Emektar, Emine AU - Yalçın, Eren AU - Çevik, Yunsur PY - 2025 DA - September Y2 - 2025 JF - Sanatorium Medical Journal JO - Sanatorium Med J PB - T.C. Sağlık Bakanlığı Ankara Atatürk Sanatoryum Eğitim ve Araştırma Hastanesi WT - DergiPark SN - 3062-3944 SP - 71 EP - 76 VL - 1 IS - 2 LA - en AB - Background: In this study, we aimed to evaluate the correlation of perfusion indexes with disease severity in COVID-19 patients.Methods: Our study was conducted as a prospective observational study after obtaining ethical committee approval. Patients over the age of 18, who presented with COVID-19 symptoms, were PCR (Polymerase Chain Reaction) positive, were included in the study. Demographic data, complaints, vital signs and laboratory values of the patients were recorded. The perfusion index (PI) and plethysmographic variability index (PVI) were measured Results: A total of 154 patients were included in the study. 47.4% of the patients included in the study were male, and the median age of 57 (IQR 44-69.2). 33.1% of the patients were in the mild group, and 66.9% in the moderate-severe group. The median PI value was 4.2 (IQR 3.1-5.6) and the median PVI value was 14.2 (IQR 11.5-16.5) in the mild-moderate patient group, the median PI value was 1.54 (IQR 1.14-1.97), the median PVI value was 23.4 (IQR 11.5-16.5) in the moderate-severe patient group. IQR 19.8-26.1) (p KW - COVID-19 KW - perfusion indices KW - PI KW - PVI CR - 1. Cui X, Zhao Z, Tongqiang Z, et al. A systematic review and meta‐analysis of children with Coronavirus Disease 2019 (COVID‐19). J Med Virol. 2021 Feb;93(2):1057-1069. CR - 2. Alsharif W, Qurashi A. Effectiveness of COVID-19 diagnosis and management tools: A review. Radiography (Lond). 2021;27(2):682-687. CR - 3. Umakanthan S, Sahu P, Ranade AV, et al. Origin, transmission, diagnosis and management of coronavirus disease 2019 (COVID-19). Postgrad Med J. 2020;96(1142):753-758 CR - 4. Dramé M, Tabue Teguo M, Proye E, et al. Should RT-PCR be considered a gold standard in the diagnosis of COVID-19? J Med Virol. 2020;92(11):2312-2313. CR - 5. Böger B, Fachi MM, Vilhena RO, Cobre AF, Tonin FS, Pontarolo R. Systematic review with meta-analysis of the accuracy of diagnostic tests for COVID-19. Am J Infect Control. 2021;49(1):21-9. CR - 6. Kaneda T, Suzuki T. [Evaluation of circulatory state using pulse oximeter: 2. PI (perfusion index) x PVI (pleth variability index)]. Masui. 2009;58(7):860-5. CR - 7. Öztekin Ö, Emektar E, Selvi H, Çevik Y. Perfusion indices can predict early volume depletion in a blood donor model. Eur J Trauma Emerg Surg. 2022 Feb;48(1):553-557. CR - 8. Broch O, Bein B, Gruenewald M, et al. Accuracy of the pleth variability index to predict fluid responsiveness depends on the perfusion index. Acta Anaesthesiol Scand. 2011;55(6):686-93. CR - 9. Li H, Liu L, Zhang D, Xu J, et al. SARS-CoV-2 and viral sepsis: observations and hypotheses. Lancet. 2020;395(10235):1517-1520 CR - 10. Zhang C, Shi L, Wang FS. Liver injury in COVID-19: management and challenges. Lancet Gastroenterol Hepatol. 2020;5(5):428-430. CR - 11. Guan WJ, Ni ZY, Hu Y, et al. China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020;382(18):1708-1720. CR - 12. Merad M, Blish CA, Sallusto F, Iwasaki A. The immunology and immunopathology of COVID-19. Science. 2022;375(6585):1122-1127 CR - 13. Keller G, Cassar E, Desebbe O, Lehot JJ, Cannesson M. Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers. Crit Care. 2008;12(2):R37. CR - 14. Manta C, Jain SS, Coravos A, Mendelsohn D, Izmailova ES. An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID-19. Clinical and Translational Science. 2020;13(6):1034-44. CR - 15. Wang Z, Yang B, Li Q, Wen L, Zhang R. Clinical Features of 69 Cases With Coronavirus Disease 2019 in Wuhan, China. Clinical Infectious Diseases. 2020;71(15):769-77. CR - 16. Mudatsir M, Fajar JK, Wulandari L, et al. Predictors of COVID-19 severity: a systematic review and meta-analysis. F1000Res. 2020;9:1107 CR - 17. Ran J, Song Y, Zhuang Z, Han L, et al. Blood pressure control and adverse outcomes of COVID-19 infection in patients with concomitant hypertension in Wuhan, China. Hypertens Res. 2020;43(11):1267-76. CR - 18. Nechipurenko YD, Semyonov DA, Lavrinenko IA, et al. The Role of Acidosis in the Pathogenesis of Severe Forms of COVID-19. Biology. 2021;10(9):852. CR - 19. Sarıaydın T, Çorbacıoğlu ŞK, Çevik Y, Emektar E. Effect of initial lactate level on short-term survival in patients with out-of-hospital cardiac arrest. Turk J Emerg Med. 2017;17(4):123-127. CR - 20. De Felice C, Latini G, Vacca P, Kopotic RJ. The pulse oximeter perfusion index as a predictor for high illness severity in neonates. Eur J Pediatr. 2002 Oct;161(10):561-2 CR - 21. Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth Analg. 2010;111(4):910-4. UR - https://dergipark.org.tr/en/pub/sanatoriummedj/issue//1654917 L1 - https://dergipark.org.tr/en/download/article-file/4677580 ER -