COVID-19 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2. Although not well established, COVID-19 infection carries a great effect on pregnant patients with increased severity compared to the nonpregnant population. Cytokine storm is a severe immune reaction and is one of the pathogeneses of COVID-19 infection. Studies have shown the benefit of hemoperfusion in managing cytokine storm, but the use in the pregnant population remains limited. We report the case of a 41-year-old pregnant woman at 25 weeks and 5 days age of gestation infected with COVID-19 presenting with difficulty of breathing and desaturation and then underwent hemoperfusion which improved her clinical condition.

Human ; Female ; Adult: 25-44 Yrs Old ; Covid-19 ; Cytokine Storm ; Cytokine Release Syndrome ; Hemoperfusion ; Pregnancy

BACKGROUND AND OBJECTIVES

A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.

METHODS

This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.

RESULTS

The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cutoff cHIS scores.

CONCLUSION

Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.

Human ; Covid-19 ; Inflammation ; Mortality ; Mechanical Ventilation ; Respiration, Artificial ; Cytokine Storm ; Cytokine Release Syndrome