Publication:
A nomogram based on myocardial damage and novel inflammatory indexes for post-discharge survival rates of covid-19

dc.contributor.authorÇalışkan, Serhat
dc.contributor.buuauthorGünay, Seyda
dc.contributor.buuauthorGÜNAY POLATKAN, ŞEYDA
dc.contributor.buuauthorSığırlı, Deniz
dc.contributor.buuauthorSIĞIRLI, DENİZ
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Kardiyoloji Anabilim Dalı.
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı.
dc.date.accessioned2024-10-23T12:47:37Z
dc.date.available2024-10-23T12:47:37Z
dc.date.issued2022-01-01
dc.description.abstractBackground: In the course of SARS-CoV-2 infection, early prognostic evaluation is important since clinical symp-toms may worsen rapidly and may be fatal. Inflammation plays an important role in the pathogenesis of COVID-19 and can cause myocardial damage which is common in severe COVID-19 patients. Therefore, novel inflamma-tory indexes and myocardial damage may be predictive of prognosis in patients with COVID-19. The aim of the study was to evaluate the role of cardiac troponin I (cTnI), modified Glasgow prognostic score (mGPS), systemic immune inflammation index (SII), prognostic nutritional index (PNI), and CRP to albumin ratio (CAR) in the outcome estimation of COVID-19 and to develop a risk model predicting the survival probability of COVID-19 survivors during early post-discharge. Methods: This was a single-center, observational, retrospective cohort study. Laboratory confirmed COVID-19 patients (n = 265) were included and grouped according to in-hospital mortality. ROC curve analysis was per -formed and Youden's J index was used to obtain optimal cutoff values for inflammatory indexes in discriminating survivors and non-survivors. Cox regression analysis was performed to assess the possible predictors of in -hospi-tal mortality. A nomogram was constructed based on the Cox regression model, to calculate 7-and 14-day surviv-al. Results: The area under the ROC curve (AUC) of the variables ranged between 0.79 and 0.92 with the three highest AUC values for albumin, PNI, and cTnI (0.919, 0.918, and 0.911, respectively). Optimal threshold value for cTnI was 9.7 pg/mL. Univariate analysis showed that gender, albumin, CRP, CAR, PNI, SII, cTnI, and mGPS were significantly related to in-hospital mortality. The Cox regression analysis indicated that mGPS (p = 0.001), CRP (p = 0.026), and cTnI (p = 0.001) were significant prognostic factors. Conclusions: cTnI should not be considered merely as an indicator of myocardial damage. It also reflects the in-flammatory phase and, along with other inflammatory markers, it should be included in risk models as a prognos-tic factor for COVID-19. (Clin. Lab. 2022;68:602-612.
dc.identifier.doi10.7754/Clin.Lab.2021.210745
dc.identifier.endpage612
dc.identifier.issn1433-6510
dc.identifier.issue3
dc.identifier.startpage602
dc.identifier.urihttps://doi.org/10.7754/Clin.Lab.2021.210745
dc.identifier.urihttps://hdl.handle.net/11452/46955
dc.identifier.volume68
dc.identifier.wos000766981100019
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherClin Lab Publ
dc.relation.journalClinical Laboratory
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPrognostic score
dc.subjectResection
dc.subjectMyocardial
dc.subjectInjury
dc.subjectInflammation
dc.subjectMortality
dc.subjectCovid-19
dc.subjectDischarge
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectMedical laboratory technology
dc.titleA nomogram based on myocardial damage and novel inflammatory indexes for post-discharge survival rates of covid-19
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication2fce7938-9be9-404c-b4d0-3798583496b8
relation.isAuthorOfPublicationf8b7b771-12ea-4f9a-889d-25079d8c862d
relation.isAuthorOfPublication.latestForDiscovery2fce7938-9be9-404c-b4d0-3798583496b8

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