Ertuğrul Güçlü1, Havva Kocayiğit2, Hüseyin Doğuş Okan1, Unal Erkorkmaz3, Yusuf Yürümez4, Selcuk Yaylacı5, Mehmet Koroglu6, Cem Uzun1, Oğuz Karabay1. 1. . Sakarya University Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Sakarya, Turkey. 2. . Sakarya University Training and Research Hospital, Division of Anesthesiology, Sakarya, Turkey. 3. . Sakarya University Faculty of Medicine, Department of Biostatistics, Sakarya, Turkey. 4. . Sakarya University Faculty of Medicine, Department of Emergency Medicine, Sakarya, Turkey. 5. . Sakarya University Faculty of Medicine, Department of Internal Medicine, Sakarya, Turkey. 6. . Sakarya University Faculty of Medicine, Department of Medical Microbiology, Sakarya, Turkey.
Abstract
BACKGROUND: Easily accessible, inexpensive, and widely used laboratory tests that demonstrate the severity of COVID-19 are important. Therefore, in this study, we aimed to investigate the relationship between mortality in COVID-19 and platelet count, Mean Platelet Volume (MPV), and platelet distribution width. METHODS: In total, 215 COVID-19 patients were included in this study. The patients were divided into two groups. Patients with room air oxygen saturation < 90% were considered as severe COVID-19, and patients with ≥90% were considered moderate COVID-19. Patient medical records and the electronic patient data monitoring system were examined retrospectively. Analyses were performed using the SPSS statistical software. A p-value <0.05 was considered significant. RESULTS: The patients' mean age was 64,32 ± 16,07 years. According to oxygen saturation, 81 patients had moderate and 134 had severe COVID-19. Our findings revealed that oxygen saturation at admission and the MPV difference between the first and third days of hospitalization were significant parameters in COVID-19 patients for predicting mortality. While mortality was 8.4 times higher in patients who had oxygen saturation under 90 % at hospital admission, 1 unit increase in MPV increased mortality 1.76 times. CONCLUSION: In addition to the lung capacity of patients, the mean platelet volume may be used as an auxiliary test in predicting the mortality in COVID-19 patients.
BACKGROUND: Easily accessible, inexpensive, and widely used laboratory tests that demonstrate the severity of COVID-19 are important. Therefore, in this study, we aimed to investigate the relationship between mortality in COVID-19 and platelet count, Mean Platelet Volume (MPV), and platelet distribution width. METHODS: In total, 215 COVID-19patients were included in this study. The patients were divided into two groups. Patients with room air oxygen saturation < 90% were considered as severe COVID-19, and patients with ≥90% were considered moderate COVID-19. Patient medical records and the electronic patient data monitoring system were examined retrospectively. Analyses were performed using the SPSS statistical software. A p-value <0.05 was considered significant. RESULTS: The patients' mean age was 64,32 ± 16,07 years. According to oxygen saturation, 81 patients had moderate and 134 had severe COVID-19. Our findings revealed that oxygen saturation at admission and the MPV difference between the first and third days of hospitalization were significant parameters in COVID-19patients for predicting mortality. While mortality was 8.4 times higher in patients who had oxygen saturation under 90 % at hospital admission, 1 unit increase in MPV increased mortality 1.76 times. CONCLUSION: In addition to the lung capacity of patients, the mean platelet volume may be used as an auxiliary test in predicting the mortality in COVID-19patients.
Authors: Abdullah A Mobarki; Gasim Dobie; Muhammad Saboor; Aymen M Madkhali; Mohammad S Akhter; Ali Hakamy; Adel Humran; Yousof Hamali; Denise E Jackson; Hassan A Hamali Journal: Infect Drug Resist Date: 2021-11-23 Impact factor: 4.003
Authors: O Gandini; C Lubrano; E Colonnello; A Criniti; E Lorusso; M Curreli; M Santulli; A Angeloni; L Gnessi Journal: J Endocrinol Invest Date: 2022-09-05 Impact factor: 5.467
Authors: Gorka Lasso; Saad Khan; Stephanie A Allen; Margarette Mariano; Catalina Florez; Erika P Orner; Jose A Quiroz; Gregory Quevedo; Aldo Massimi; Aditi Hegde; Ariel S Wirchnianski; Robert H Bortz; Ryan J Malonis; George I Georgiev; Karen Tong; Natalia G Herrera; Nicholas C Morano; Scott J Garforth; Avinash Malaviya; Ahmed Khokhar; Ethan Laudermilch; M Eugenia Dieterle; J Maximilian Fels; Denise Haslwanter; Rohit K Jangra; Jason Barnhill; Steven C Almo; Kartik Chandran; Jonathan R Lai; Libusha Kelly; Johanna P Daily; Olivia Vergnolle Journal: PLoS Comput Biol Date: 2022-01-18 Impact factor: 4.475