Journal Information
Vol. 43. Issue S3.
Pages S19-S20 (November 2021)
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Vol. 43. Issue S3.
Pages S19-S20 (November 2021)
OP 11
Open Access
THE IMPACT OF HEMATOLOGICAL PARAMETERS ON SURVIVAL FOR PATIENTS WITH COVID-19
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Fatma YILMAZ1, Murat ALBAYRAK1, Abdülkerim YILDIZ2, Hacer Berna AFACAN ÖZTÜRK1, Senem MARAL1, Ümit Yavuz MALKAN1, Pınar AKYOL1, Merih REİS ARAS1, Buğra SAĞLAM1, Mesut TIĞLIOĞLU1
1 University of Health Sciences, Diskapi Yildirim Beyazit Training and Research Hospital, Department of Hematology
2 University of Hitit, Erol Olçok Training and Research Hospital, Department of Hematology
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Objective

Coronavirus disease 2019 is an infectious disease caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Clinical and laboratory predictors may identification of patients at risk of mortality and guide treatment .To analyze laboratory abnormalities in patients with COVID-19 and define which parameters affect mortality and hospitalization

Methodology

This retrospective study was conducted on 101 patients diagnosed with COVID-19. Demographic characteristics, laboratory parameters including complete blood count (CBC) parameters, biochemical tests, coagulation parameters, duration of hospitalization and final status (discharge or death) were recorded

Results

Comparisons were made of survivors and non-survivors at the end of follow up period.  Multivariate analysis showed mean platelet volume (MPV), platelet distribution width (PDW) and lactate dehydrogenase (LDH) to be significant predictors of mortality. The cut-off value of the hospitalization period was found to be 10 days, so patients were divided into two groups. In the multivariate models, no significant independent parameter was observed for the prediction of hospitalization duration.

Conclusion

The results of the current study demonstrated that MPV, PDW and LDH were significant independent variables for the prediction of mortality. As SARS-CoV and SARS-CoV-2 are known to use the same receptor, there may be a similar structure and receptor for mutant variants and the first variant, so these predictive parameters can be considered to be as effective in mutant variants.

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Hematology, Transfusion and Cell Therapy

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