ABSTRACT
Background: Surges in COVID-19 disease cases can rapidly overwhelm healthcare resources; triaging to appropriate levels of care can assist in resource planning. At the beginning of the pandemic, we developed a simple triage tool, the Temple COVID-19 Pneumonia Triage Tool (TemCOV) based on a combination of clinical and radiographic features that are readily available on presentation to categorize and predict illness severity. Methods: We prospectively examined 579 sequential cases admitted to Temple University Hospital who were assigned severity categories on admission. Our primary outcome was to compare the performance of TemCOV in predicting patients who have the highest likely of admission to the ICU at 24 and at 72 hours to other standard triage tools: the National Early Warning System (NEWS), the Modified Early Warning System (MEWS) and the CURB65 score. Additional endpoints included need for invasive mechanical ventilation (IMV) within 72 hours, total hospital admission charges, and mortality. Results: 26% of patients fell within our highest risk Category 4 and were more likely to require ICU admission at 24 hours (OR 11.51) and 72 hours (OR 8.6). Additionally they had the highest likelihood of needing IMV (OR 29.47) and in-hospital mortality (OR 2.37). , TemCOV performed similar to MEWS in predicting ICU admission at 24 hours (receive operator characteristic (ROC) curve area under the curve (AUC) 0.77 vs. 0.74, p=0.21) but better than NEWS2 and CURB65 (ROC AUC 0.77 vs. 0.69 and 0.77 vs. 0.64, respectively, p<0.01). While all severity scores had a weak correlation to hospital charges, the TemCOV performed the best among all severity scores measured (r=0.18); median hospital charges for Category 4 patients was $170,468 ($96,972-$487,556). Conclusion: TemCOV is a simple triage score that can be used upon hospitalization in patients with COVID-19 that predicts the need for hospital resources such as ICU bed capacity, invasive mechanical ventilation and personnel staffing.
Subject(s)
COVID-19ABSTRACT
Background: Determine the impact of tobacco smoking status on patients hospitalized with COVID-19 pneumonia in the need for ICU care, mechanical ventilation and mortality. Methods: We performed a retrospective cohort study, that involved chart review. All adults 18 years or older with a diagnosis of COVID-19 pneumonia hospitalized from March 15th, 2020 to May 06th, 2020 with a positive reverse transcription polymerase chain reaction (RT-PCR) nasopharyngeal swab for COVID-19. We used chi-squared test for categorical variables and student t-tests or Wilcoxon rank sum tests for continuous variables. We further used adjusted and unadjusted logistic regression to assess risk factors for mortality and intubation.Results: Among 577 patients hospitalized with COVID-19 pneumonia, 268 (46.4%) had a history of smoking including 187 former and 81 active smokers. The former smokers when compared with non-smokers were predominantly older with more comorbidities. Also, when compared with never smokers D Dimer levels were elevated in active (p=0.05) and former smokers (p<0.01). The former smokers versus non-smokers required increased need for advanced non-invasive respiratory support on admission (p<0.05), ICU care (p<0.05) and had higher mortality [1.99 (CI 95% 1.03-3.85, p<0.05)]. Active smokers versus non-smokers received more mechanical ventilation [OR 2.11 (CI 95% 1.06-4.19, p<0.05)].Conclusions: In our cohort of hospitalized patients with COVID-19 pneumonia, former smokers had higher need for non-invasive respiratory support on admission, ICU care, and mortality compared to non-smokers. Also, active smokers versus non-smokers needed more mechanical ventilation.
Subject(s)
COVID-19 , PneumoniaABSTRACT
Background: COVID-19 can lead to acute respiratory failure and an exaggerated inflammatory response. Studies have suggested promising outcomes using monoclonal antibodies targeting IL-1{beta} (Anakinra) or IL6 (Tocilizumab), however no head to head comparison was done between the two treatments. Herein, we report our experience in treating COVID-19 pneumonia associated with cytokine storm with either subcutaneous Anakinra given concomitantly with intravenous immunoglobulin (IVIG), or intravenous Tocilizumab. Methods: Comprehensive clinical and laboratory data from patients with COVID-19 pneumonia admitted at our hospital between March and May 2020 were collected. Patients who received either Anakinra/ IVIG or Tocilizumab were selected. Baseline characteristics including oxygen therapy, respiratory status evaluation using ROX index, clinical assessment using NEWS score and laboratory data were collected. Outcomes included mortality, intubation, ICU admission and length of stay. In addition, we compared the change in ROX index, NEWS score and inflammatory markers at days 7 and 14 post initiation of therapy. Results: 84 consecutive patients who received either treatment (51 in the Anakinra/ IVIG group and 33 in the Tocilizumab group) were retrospectively studied. Baseline inflammatory markers were similar in both groups. There was no significant difference regarding to death (21.6% vs 15.2%, p 0.464), intubation (15.7% vs 24.2%, p 0.329), ICU need (57.1% vs 48.5%, p 0.475) or length of stay (13+9.6 vs 14.9+11.6, p 0.512) in the Anakinra/IVIG and Tocilizumab, respectively. Additionally, the rate of improvement in ROX index, NEWS score and inflammatory markers was similar in both groups at days 7 and 14. Furthermore, there was no difference in the incidence of superinfection in both groups. Conclusion: Treating COVID-19 pneumonia associated with cytokine storm features with either subcutaneous Anakinra/IVIG or intravenous Tocilizumab is associated with improved clinical outcomes in most subjects. The choice of treatment does not appear to affect morbidity or mortality. Randomized controlled trials are needed to confirm our study findings. Funding: None.