Relationship of platelet subgroups with prognosis and mortality in patients with mild, severe and critical COVID-19

Authors : Zeynep ERGENÇ, Gülsüm KAYA, Özlem KARACA OCAK, Özgür İNCE, Serkan GÜNAY, Hasan ERGENÇ

Pages : 76-81

Doi:10.58961/hmj.1334805

View : 74 | Download : 73

Publication Date : 2023-08-21

Article Type : Research Paper

Abstract :Introduction: This study investigates whether platelet-related indicators including platelet count insert ignore into journalissuearticles values(PLT);, mean platelet volume insert ignore into journalissuearticles values(MPV);, platelet distribution width insert ignore into journalissuearticles values(PDW);, Plateletcrit insert ignore into journalissuearticles values(PCT);, and platelet large cell ratio insert ignore into journalissuearticles values(P-LCR); could be effective biomarkers in the prognostic of 2019-novel coronavirus disease insert ignore into journalissuearticles values(COVID-19); fatality. Methods: Out of 380 patients diagnosed with COVID-19, 98 patients were randomly and retrospectively were included in our study. Detection of COVID-19 was performed according to the World Health Organization insert ignore into journalissuearticles values(WHO); guidelines and using quantitative polymer chain reaction insert ignore into journalissuearticles values(qPCR);. Clinical and laboratory data and medical records for all study participants were collected from a digital version of their health history at Ayancik State Hospital and Diyarbakır Gazi Yaşargil Training and Research Hospital. All patients were followed up daily until discharge or death and were eventually classified into three categories: Mild, severe, and critical patients. Data analysis was performed using SPSS-26 for Windows insert ignore into journalissuearticles values(Statistical Package for Social Science, SPSS Inc. Chicago IL, USA®Z);, and a 95% confidence level was selected. P < 0.5 was considered statistically significant. Results: Of participants, 64.3% of the patients are 65 years and older, 54.1% are male, 60.2% survived, 39.8 % died and 35.7% are in critical condition. The mortality rate is higher in males and 65 years and older. While PLT insert ignore into journalissuearticles values(190,24); and PCT insert ignore into journalissuearticles values(0,21); measurements were higher in surviving patients, MPV insert ignore into journalissuearticles values(10,67);, PDW insert ignore into journalissuearticles values(16,15); and P-LCR insert ignore into journalissuearticles values(30,82); measurements were higher in deceased patients. PDW and PCT measurements are more effective in predicting mortality state according to Roc analysis. The measurement that best predicts the deceased status of patients who are positive according to the cut-off value determined is PDW insert ignore into journalissuearticles values(0.621);, and the measurement that best estimates the surviving patients is PLT insert ignore into journalissuearticles values(0.925);. Conclusions: In our study, it was concluded that high MPV, PDW and P-LCR and low platelet values are associated with poor prognosis of COVID-19 disease, and PDW and PCT measurements are more effective in predicting mortality in patients with COVID-19 infection. Laboratory parameters such as MPV, PDW, P-LCR, PDW, and PCT can provide clinicians with predictions of prognosis and mortality from COVID-19 disease.
Keywords : COVID 19, Trombosit sayısı, Trombosit indeksleri, Prognoz, Hastalık şiddeti, Ölüm oranı

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