Monocyte-to-Hdl-Cholesterol Ratio as a Prognostic Marker in Covid-19

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dc.contributor.authorErgenc, Hasan
dc.contributor.authorErgenc, Zeynep
dc.contributor.authorGozdas, Hasan Tahsin
dc.contributor.authorOcak, Ozlem Karaca
dc.contributor.authorInce, Ozgur
dc.contributor.authorBal, Tayibe
dc.date.accessioned2024-09-18T20:32:56Z
dc.date.available2024-09-18T20:32:56Z
dc.date.issued2024
dc.departmentHatay Mustafa Kemal Ãœniversitesien_US
dc.description.abstractBackground: There is an urgent need for mortality predictors for COVID-19 so that clinicians can diagnose severe cases and triage them as soon as possible. Many studies have suggested using hematologic markers to predict mortality and severity of COVID-19 disease. This study investigates the use of monocyte-to-high density lipoprotein cholesterol ratio (MHR) as a predictive marker for COVID-19 severity and mortality. Methods: This retrospective cross-sectional study was performed on 81 PCR-confirmed COVID-19 patients between 25 March 2020 to 26 June 2020. Patients were classified into two presentation categories: the non-severe group (n=37) and the severe group (n=44). Patients in the severe group were also divided into two subgroups: severe survivors (n=14) and severe non-survivors (n=30). In the receiver operating characteristic (ROC) analysis, optimal cut -off values of the monocyte count, high -density lipoprotein cholesterol (HDL-C), and MHR were calculated for the differentiation of severe and non-severe COVID-19 patients, as well as survivors and non-survivors. Results: A total of 81 patients, 29 (35.8%) males and 52 (64.2) females, with a median age of 71 (IQR 63-81) years. Both HDL-C and MHR showed a reasonable ability to distinguish severe disease from non-severe disease, while MHR had a higher area under curve (AUC) than HDL-C (0.799, 95%CI 0.704-0.894, p < 0.001 vs 0.734, 95% Cl 0.626-0.843, p < 0.001). Only MHR could distinguish survivors from non-survivors with an ROC AUC of 0.735 (95%Cl 0.619-0.850). The optimal cut -off values of MHR for predicting severe disease were 0.0061 (sensitivity: 66% and specificity: 66%) and 0.0066 (sensitivity: 70% and specificity: 62%) for predicting mortality. The optimal cut -off value of MHR for predicting severe disease was 0.0061 (sensitivity: 66% and specificity: 66%), and it was 0.0066 for predicting mortality among patients with severe disease (sensitivity: 70% and specificity: 62%). Conclusion: Our results showed that MHR was observed to be able to distinguish severe COVID-19 patients from non-severe patients as well as survivors from non-survivors.en_US
dc.identifier.doi10.61091/jpms202413120
dc.identifier.endpage122en_US
dc.identifier.issn2309-7981
dc.identifier.issue1en_US
dc.identifier.startpage116en_US
dc.identifier.urihttps://doi.org/10.61091/jpms202413120
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11220
dc.identifier.volume13en_US
dc.identifier.wosWOS:001223814800003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherJpms Publen_US
dc.relation.ispartofJournal of Pioneering Medical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMonocyte-to-HDL-cholesterol ratioen_US
dc.subjectCOVID-19en_US
dc.subjectseverityen_US
dc.subjectmortalityen_US
dc.titleMonocyte-to-Hdl-Cholesterol Ratio as a Prognostic Marker in Covid-19en_US
dc.typeArticleen_US

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