ABSTRACT
Rationale: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, has led to a global health crisis unlike any our contemporaries have witnessed before. SUNY Downstate Health Sciences University was designated as one of three COVID-19-only hospitals on March 28, 2020. This retrospective, single-center observational study grants a unique perspective surrounding the experience of the critical care service at a public institution serving a predominantly Afro-Caribbean, inner city population. Methods: Between March 11 and April 30, 2020, the critical care service was consulted for a total of 271 COVID-19 patients. We queried the electronic medical record for patient visits with critical care consult notes and collected data on demographics, comorbidities, ICU acceptance, treatment strategies, and clinical outcomes. Non-COVIDrelated consults were excluded. Chi-squared tests compared categorical variables, and independent samples ttest assessed differences in continuous variables based on mortality and ICU admission status. Logistic regression models determined if various factors independently predicted the odds of mortality. We conducted retrospective analyses to identify factors associated with survival and ICU acceptance. Results: Of the 271 patients with critical care consults, 33% (n=89) survived and 67% (n=182) expired. At the bivariate level, age, BUN, and neutrophil percentage were significantly associated with mortality, with age showing the strongest correlation (age: survivors, 61.62±1.50 vs. non-survivors, 68.98±0.85, p<0.001). There was a significant association between neutrophil percentage and mortality in the univariate logistic regression model (Q4 vs. Q1, OR 2.73, 95% CI (1.28-5.82), p trend = 0.044). In the multivariate analyses, procalcitonin exhibited a positive correlation with the odds of mortality, adjusting for age, sex, and race/ethnicity (procalcitonin: Q4 vs. Q1, OR 5.65, 95% CI (2.14-14.9), p trend <0.001). Adjusting for the same covariates, platelets exhibited a negative correlation with the odds of mortality (Q4 vs. Q1, OR 0.47, 95% CI (0.22-0.998), p trend = 0.010). Interestingly, of these factors, only elevated procalcitonin levels were associated with an increased likelihood of ICU acceptance. Conclusions: This retrospective, observational study during the first peak of the COVID-19 pandemic identified key factors linked to disease severity and outcomes. Of note, procalcitonin was the factor most strongly associated with both mortality and likelihood of ICU acceptance at the bivariate level. Respiratory failure is the primary cause of death in COVID-19, and our data suggests that procalcitonin is a useful marker that accurately reflects the severity of lung involvement during SARS-CoV-2 infection.
ABSTRACT
OBJECTIVES: To understand the sequelae of COVID-19. METHODS: We followed up 1174 patients with severe coronavirus disease 2019 (COVID-19)who were recovered and discharged for 6 months. RESULTS: There were 175 cases with clear IgG results 6 months after discharge, of which 82 (46.9%) were IgG (+) and 16 (9.1%) were IgG (dim+). Four hundred and forty-one participants (55.4%) had some kind of sequelae. The most common symptoms were fatigue (25.3%), sleep disorder (23.2%) and shortness of breath (20.4%). In those who had sequelae, 262 (59.4%) had more than one symptom. Critical cases were more likely to have cough (20.5% vs 11.6%, p = 0.023) and hypomnesis (15.1% vs 8.0%, p = 0.041) than severe cases. Furthermore, univariate and multivariate logistic regression analyses revealed that women are more likely to have multiple symptoms (p = 0.002), fatigue (p = 0.009) and sleep disorder (p = 0.008), whereas critical illness was found as independent risk factor for hypomnesis (p = 0.045). CONCLUSION: Our study demonstrated the duration of antibody and sequelae of COVID-19 and compared the differences amongst different populations.