The role of hemogram parameters and C-reactive protein in predicting mortality in COVID-19 infection
International Journal of Clinical Practice, vol.75, no.7, 2021 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 75 Issue: 7
- Publication Date: 2021
- Doi Number: 10.1111/ijcp.14256
- Journal Name: International Journal of Clinical Practice
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, CINAHL, EMBASE, International Pharmaceutical Abstracts, MEDLINE
- Dokuz Eylül University Affiliated: No
Abstract
Aim: This study aimed to investigate hemogram parameters and C-reactive protein (CRP) that can be used in clinical practice to predict mortality in hospitalized patients with a diagnosis of COVID-19. Methods: This cohort study was conducted at University Hospital, which is a designated hospital for COVID-19 patients. Adult patients who were admitted to our hospital emergency department with suspected COVID-19 and who were hospitalized in our institution with a COVID-19 diagnosis were analysed. Results: There were 148 patients hospitalized with COVID-19. All-cause mortality of follow-up was 12.8%. There were statistically significant results between the two groups (survivors and nonsurvivors), which were classified based on hospital mortality rates, in terms of the lymphocyte to C-reactive protein ratio (LCRP), systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), CRP concentration and comorbid disease. In a receiver operating characteristic (ROC), curve analysis, LCRP, NLR, PLR and SII area under the curve (AUC) for in-hospital mortality were 0.817, 0.816, 0.733 and 0.742, respectively. Based on an LCRP value of 1 for in-hospital mortality, the sensitivity and specificity rates were 100% and 86.8%, respectively. Based on the average SII of 2699 for in-hospital mortality, the sensitivity, specificity and accuracy rates were 68.4%, 77.5% and 76.3%, respectively. A total of 19 patients died during hospitalization. All of these patients had an LCRP level ≤ 1; 14 had an NLR level ≤ 10.8; 13 had an SII ≥ 2699 (Fisher's exact test, P =.000). Independent predictors of in-hospital mortality rates were LCRP < 1, PLR, SII ≥ 2699, white blood cell count, CRP, age, comorbidities, and ICU stay. Conclusions: We concluded that inflammatory parameters, such as LRCP, SII and NLR, were associated with disease severity and could be used as potentially important risk factors for COVID-19 progression.