Int J Clin Pract. 2021 Apr 22:e14256. doi: 10.1111/ijcp.14256. Online ahead of print.
ABSTRACT
AIM: This study aimed to investigate hemogram parameters and 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 2 groups (survivors and non-survivors), 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%, 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 a SII ≥ 2699 (Fisher’s exact test, p = 0.000). 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.
PMID:33887100 | DOI:10.1111/ijcp.14256
