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Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19.
Parimoo, Aditi; Biswas, Ashutosh; Baitha, Upendra; Gupta, Gaurav; Pandey, Shivam; Ranjan, Piyush; Gupta, Vandana; Barman Roy, Debarchan; Prakash, Bindoo; Wig, Naveet.
  • Parimoo A; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Biswas A; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Baitha U; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Gupta G; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Pandey S; Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, IND.
  • Ranjan P; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Gupta V; Division of Periodontics, Center for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, IND.
  • Barman Roy D; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Prakash B; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
  • Wig N; Department of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Cureus ; 13(10): e19080, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1513117
ABSTRACT
Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome. Results Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were ferritin 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541). Conclusion Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Cureus Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Cureus Year: 2021 Document Type: Article