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Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study. | LitMetric

AI Article Synopsis

  • This study aimed to assess whether routine blood tests and clinical factors can help predict in-hospital mortality for COVID-19 patients, analyzing data from 285 individuals admitted between December 2020 and June 2021.
  • Researchers found that inflammatory markers, particularly procalcitonin (PCT) and the neutrophil-lymphocyte ratio (NLR), were significantly higher in patients who died compared to survivors.
  • The results indicated that older patients and those with elevated PCT or NLR levels were at greater risk of death, highlighting the importance of these simple blood tests in identifying high-risk COVID-19 patients.

Article Abstract

The purpose of this study was to investigate whether routine blood tests and clinical characteristics can predict in-hospital mortality in COVID-19. Clinical data of 285 patients aged 59.7 ± 10.3 yrs. (males n = 189, females n = 96) were retrospectively collected from December 2020 to June 2021. Routine blood tests were recorded within the 1st hour of admission to hospital. The inflammatory variables, such as C-reactive protein (CRP), procalcitonin (PCT), neutrophils−lymphocyte ratio (NLR) and the systemic inflammatory index (SII), exceeded the reference values in all patients and were significantly higher in deceased patients (n = 108) compared to survivors (n = 177). The log-rank test for comparing two survival curves showed that patients aged ≥60.5 years, with PCT ≥ 0.188 ng/mL or NLR ≥ 11.57 103/µL were at a greater risk of death. NLR demonstrated a high impact on the COVID-19 mortality (HR 1.317; 95%CI 1.004−1.728; p < 0.05), whereas CRP and SII showed no effect (HR 1.000; 95%CI 1.000−1.004; p = 0.085 and HR 1.078; 95%CI 0.865−1.344; p = 0.503, respectively). In the first Polish study including COVID-19 patients, we demonstrated that age in relation to simple parameters derived from complete blood cell count has prognostic implications in the course of COVID-19 and can identify the patients at a higher risk of in-hospital mortality.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028043PMC
http://dx.doi.org/10.3390/diagnostics12040859DOI Listing

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