Firdevs Tugba Bozkurt1, Mehmet Tercan2, Gulcin Patmano2, Tugba Bingol Tanrıverdi2, Huseyin Avni Demir3, Ugur Fahri Yurekli4. 1. Intensive Care Unit, University of Health Sciences, Şanlıurfa Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, TUR. 2. Department of Anesthesiology and Reanimation, University of Health Sciences, Şanlıurfa Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, TUR. 3. Department of Emergency Medicine, University of Health Sciences, Şanlıurfa Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, TUR. 4. Department of Biochemistry, University of Health Sciences, Şanlıurfa Mehmet Akif İnan Research and Training Hospital, Şanlıurfa, TUR.
Abstract
OBJECTIVES: This study aimed to investigate whether ferritin level can predict the severity of coronavirus disease 2019 (COVID-19). BACKGROUND: The COVID-19 pandemic has been challenging for both patients and caregivers. Many laboratory markers have been used to better understand the causes of poor outcomes and to improve the management of COVID-19 patients. METHODS: A total of 93 patients who had a positive polymerase chain reaction test result for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were included in this study. Demographic features, comorbidities, clinical and laboratory findings were obtained from the hospital database retrospectively. Patients were divided into two groups according to the disease severity as follows: mild group (n = 70) and severe group (n = 23). RESULTS: The median age of the study population was 42.5 (28.3-62.8) with 69.9% male patients. Patients in the severe group were significantly older and showed a higher frequency of hypertension, diabetes mellitus, coronary artery disease, and heart failure in comparison with those in the mild group. In addition, gamma-glutamyl transferase, C-reactive protein, ferritin, interleukin-6, procalcitonin, and neutrophil to lymphocyte ratio were higher whereas albumin level was lower in patients in the severe group. Linear regression analysis demonstrated that ferritin level was the only significant predictor of disease severity (β = 0.487, t = 2.993, p = 0.004). In receiver operator characteristics curve analysis, ferritin level ≥264.5 ng/mL predicted severe COVID-19 with a sensitivity of 73.9% and specificity of 94.2%. CONCLUSION: Early analysis of ferritin levels in patients with COVID-19 might effectively predict the disease severity.
OBJECTIVES: This study aimed to investigate whether ferritin level can predict the severity of coronavirus disease 2019 (COVID-19). BACKGROUND: The COVID-19 pandemic has been challenging for both patients and caregivers. Many laboratory markers have been used to better understand the causes of poor outcomes and to improve the management of COVID-19patients. METHODS: A total of 93 patients who had a positive polymerase chain reaction test result for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were included in this study. Demographic features, comorbidities, clinical and laboratory findings were obtained from the hospital database retrospectively. Patients were divided into two groups according to the disease severity as follows: mild group (n = 70) and severe group (n = 23). RESULTS: The median age of the study population was 42.5 (28.3-62.8) with 69.9% male patients. Patients in the severe group were significantly older and showed a higher frequency of hypertension, diabetes mellitus, coronary artery disease, and heart failure in comparison with those in the mild group. In addition, gamma-glutamyl transferase, C-reactive protein, ferritin, interleukin-6, procalcitonin, and neutrophil to lymphocyte ratio were higher whereas albumin level was lower in patients in the severe group. Linear regression analysis demonstrated that ferritin level was the only significant predictor of disease severity (β = 0.487, t = 2.993, p = 0.004). In receiver operator characteristics curve analysis, ferritin level ≥264.5 ng/mL predicted severe COVID-19 with a sensitivity of 73.9% and specificity of 94.2%. CONCLUSION: Early analysis of ferritin levels in patients with COVID-19 might effectively predict the disease severity.
Authors: Robert Verity; Lucy C Okell; Ilaria Dorigatti; Peter Winskill; Charles Whittaker; Natsuko Imai; Gina Cuomo-Dannenburg; Hayley Thompson; Patrick G T Walker; Han Fu; Amy Dighe; Jamie T Griffin; Marc Baguelin; Sangeeta Bhatia; Adhiratha Boonyasiri; Anne Cori; Zulma Cucunubá; Rich FitzJohn; Katy Gaythorpe; Will Green; Arran Hamlet; Wes Hinsley; Daniel Laydon; Gemma Nedjati-Gilani; Steven Riley; Sabine van Elsland; Erik Volz; Haowei Wang; Yuanrong Wang; Xiaoyue Xi; Christl A Donnelly; Azra C Ghani; Neil M Ferguson Journal: Lancet Infect Dis Date: 2020-03-30 Impact factor: 25.071
Authors: Elissa Driggin; Mahesh V Madhavan; Behnood Bikdeli; Taylor Chuich; Justin Laracy; Giuseppe Biondi-Zoccai; Tyler S Brown; Caroline Der Nigoghossian; David A Zidar; Jennifer Haythe; Daniel Brodie; Joshua A Beckman; Ajay J Kirtane; Gregg W Stone; Harlan M Krumholz; Sahil A Parikh Journal: J Am Coll Cardiol Date: 2020-03-19 Impact factor: 24.094
Authors: Petek Eylul Taneri; Sergio Alejandro Gómez-Ochoa; Erand Llanaj; Peter Francis Raguindin; Lyda Z Rojas; Zayne Milena Roa-Díaz; Dante Salvador; Dion Groothof; Beatrice Minder; Doris Kopp-Heim; Wolf E Hautz; Michele F Eisenga; Oscar H Franco; Marija Glisic; Taulant Muka Journal: Eur J Epidemiol Date: 2020-08-20 Impact factor: 8.082
Authors: Syed M Jawad Zaidi; Muhammad Haider Awan; Hamza W Bhatti; Sania Sabir; Sualeha Ahmed; Imran Arshad; Muhammad A Khalid; Fazal Ur Rehman Journal: J Community Hosp Intern Med Perspect Date: 2022-04-12
Authors: María Julia Ajejas Bazán; Ramón Del Gallego-Lastra; Cristina Maria Alves Marques-Vieira; Candelas López-López; Silvia Domínguez-Fernández; Milagros Rico-Blázquez; Francisco Javier Pérez-Rivas Journal: Vaccines (Basel) Date: 2022-01-21