Author: Almaghlouth, Nouf K; Davis, Monique G; Davis, Michelle A; Anyiam, Felix E; Guevara, Roberto; Antony, Suresh J
Title: Risk factors for mortality among patients with SARSâ€CoVâ€2 infection: A longitudinal observational study Cord-id: 28ujm8bz Document date: 2020_9_28
ID: 28ujm8bz
Snippet: BACKGROUND: Recent literature suggests that approximately 5â€18% of patients diagnosed with severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) may progress rapidly to a severe form of the illness and subsequent death. We examined the relationship between sociodemographic, clinical, and laboratory findings with mortality among patients. METHODS: In this study, 112 patients were evaluated from Februaryâ€May 2020 and 80 patients met the inclusion criteria. Tocilizumab (TCZ) was admi
Document: BACKGROUND: Recent literature suggests that approximately 5â€18% of patients diagnosed with severe acute respiratory syndrome coronavirus 2 (SARSâ€CoVâ€2) may progress rapidly to a severe form of the illness and subsequent death. We examined the relationship between sociodemographic, clinical, and laboratory findings with mortality among patients. METHODS: In this study, 112 patients were evaluated from Februaryâ€May 2020 and 80 patients met the inclusion criteria. Tocilizumab (TCZ) was administered, followed by methylprednisolone to patients with pneumonia severity index (PSI) score ≤ 130 and CT scan changes. Demographic data and clinical outcomes were collected. Laboratory biomarkers were monitored during hospitalization. Statistical analyses were performed with significance p≤ 0.05. RESULTS: Eighty (80) patients: 45 males (56.25%) and 35 females (43.75%) met the study inclusion criteria. Seven patients (8.75%) were deceased. An increase in mortality outcome was statistically significantly associated with higher average levels of ILâ€6 with P value (0.050), and Dâ€dimer with P value (0.024). Bivariate logistics regression demonstrated a significant increased odds for mortality for patients with bacterial lung infections (OR: 10.83, 95% CI: 2.05 – 57.40, P=0.005) and multiâ€organ damage (OR: 103.50, 95% CI: 9.92 – 1079.55, P=0.001). Multivariate logistics regression showed a statistically significant association for multiâ€organ damage (AOR: 94.17, 95% CI: 7.39 †1200.78, P=0.001). CONCLUSIONS: We identified three main predictors for high mortality. These include interleukinâ€6 (ILâ€6), Dâ€dimer, and multiâ€organ damage. The latter was the highest potential risk for inâ€hospital deaths. This warrants aggressive health measures for early recognition of the problem and initiation of treatment to reverse injuries. This article is protected by copyright. All rights reserved.
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