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. 2023 Jan 23;13(2):322.
doi: 10.3390/life13020322.

Inflammation as Prognostic Hallmark of Clinical Outcome in Patients with SARS-CoV-2 Infection

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Inflammation as Prognostic Hallmark of Clinical Outcome in Patients with SARS-CoV-2 Infection

Diana Fuzio et al. Life (Basel). .

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is often characterized by a life-threatening interstitial pneumonia requiring hospitalization. The aim of this retrospective cohort study is to identify hallmarks of in-hospital mortality in patients affected by Coronavirus Disease 19 (COVID-19). A total of 150 patients admitted for COVID-19 from March to June 2021 to "F. Perinei" Murgia Hospital in Altamura, Italy, were divided into survivors (n = 100) and non-survivors groups (n = 50). Blood counts, inflammation-related biomarkers and lymphocyte subsets were analyzed into two groups in the first 24 h after admission and compared by Student's t-test. A multivariable logistic analysis was performed to identify independent risk factors associated with in-hospital mortality. Total lymphocyte count and CD3+ and CD4+ CD8+ T lymphocyte subsets were significantly lower in non-survivors. Serum levels of interleukin-6 (IL-6), lactate dehydrogenase (LDH), C-reactive protein (CRP) and procalcitonin (PCT) were significantly higher in non-survivors. Age > 65 years and presence of comorbidities were identified as independent risk factors associated with in-hospital mortality, while IL-6 and LDH showed a borderline significance. According to our results, markers of inflammation and lymphocytopenia predict in-hospital mortality in COVID-19.

Keywords: C-reactive protein; COVID-19; biomarkers; in-hospital mortality; inflammation; interleukin-6; lactate dehydrogenase; lymphocytes; pneumonia; procalcitonin.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
ROC curve of T lymphocyte subsets.
Figure 2
Figure 2
ROC curves of age, IL-6, LDH and number of comorbidities [AUC: area under the ROC curve].

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