Role of a Chest X-ray Severity Score in a Multivariable Predictive Model for Mortality in Patients with COVID-19: A Single-Center, Retrospective Study.

Predicting the mortality risk of patients with Coronavirus Disease 2019 (COVID-19) can be valuable in allocating limited medical resources in the setting of outbreaks. This study assessed the role of a chest X-ray (CXR) scoring system in a multivariable model in predicting the mortality of COVID-19 patients by performing a single-center, retrospective, observational study including consecutive patients admitted with a confirmed diagnosis of COVID-19 and an initial CXR. The CXR severity score was calculated by three radiologists with 12 to 15 years of experience in thoracic imaging, based on the extent of lung involvement and density of lung opacities. Logistic regression analysis was used to identify independent predictive factors for mortality to create a predictive model. A validation dataset was used to calculate its predictive value as the AUROC. A total of 628 patients (58.1% male) were included in this study. Age (p < 0.001), sepsis (p < 0.001), S/F ratio (p < 0.001), need for mechanical ventilation (p < 0.001), and the CXR severity score (p = 0.005) were found to be independent predictive factors for mortality. We used these variables to develop a predictive model with an AUROC of 0.926 (0.891, 0.962), which was significantly higher than that of the WHO COVID severity classification, 0.853 (0.798, 0.909) (one-tailed p-value = 0.028), showing that our model can accurately predict mortality of hospitalized COVID-19 patients.

Renal recovery after acute kidney injury in a minority population of hospitalized COVID-19 patients: A retrospective cohort study.

ABSTRACT: This study aimed to characterize survivors of Coronavirus disease 2019 (COVID-19) infection and acute kidney injury (AKI) that recover their renal function or progress to acute kidney disease (AKD) on discharge; and determine factors associated with progression to AKD during hospital stay.One thousand seventy four patients with COVID-19 infection were followed up until discharge/death. The incidence of AKI was 59.7%. Two hundred and sixty-six patients were discharged alive and included in the analysis, 71.8% had renal recovery (RR) while 28.2% were discharged with AKD. The AKD subset has higher rate of chronic kidney disease (CKD) ≥3 (33.4% vs 14.1%, P = .001), congestive heart failure (18.7% vs 5.8%, P = .001), use of non-invasive mechanical ventilation (10.7% vs 3.7%, P = .026) and vasopressors (25.3% vs 12.0%, P = .007). Of 19 patients in the AKI survivor cohort who received renal replacement therapy, 1 had RR while 18 progressed to AKD on discharge. Predictors to progression to AKD were CKD ≥3 (Odds Ratio [OR]: 3.23, 95% confidence interval [CI] 1.59-6.56, P = .001), congestive heart failure (OR: 4.59, 95% CI 1.76-11.78, P = .002), AKI on admission (OR: 2.71, 95% CI, 1.14-6.46, P = .025), and ongoing diarrhea (OR: 3.19, 95% CI, 1.02-9.96, P = .025).This study demonstrates a higher proportion of RR among survivors of COVID-19 infection in our minority predominant cohort. Early identification and appropriate management of patients at-risk to progress to AKD could improve outcomes, reduce long term sequalae of CKD/end stage renal disease, and have a major impact on health outcome and financial strain on healthcare system.

Impact of Local and Demographic Factors on Early COVID-19 Vaccine Hesitancy among Health Care Workers in New York City Public Hospitals.

Despite the development of several effective vaccines, SARS-CoV-2 continues to spread, causing serious illness among the unvaccinated. Healthcare professionals are trusted sources of information about vaccination, and therefore understanding the attitudes and beliefs of healthcare professionals regarding the vaccines is of utmost importance. We conducted a survey-based study to understand the factors affecting COVID-19 vaccine attitudes among health care professionals in NYC Health and Hospitals, at a time when the vaccine was new, and received 3759 responses. Machine learning and chi-square analyses were applied to determine the factors most predictive of vaccine hesitancy. Demographic factors, education, role at the hospital, perceptions of the pandemic itself, and location of work and residence were all found to significantly contribute to vaccine attitudes. Location of residence was examined for both borough and neighborhood, and was found to have a significant impact on vaccine receptivity. Interestingly, this borough-level data did not correspond to the number or severity of cases in the respective boroughs, indicating that local social or other influences likely have a substantial impact. Local and demographic factors should be strongly considered when preparing pro-vaccine messages or campaigns.

THE ROLE OF NONINVASIVE VENTILATION AND HIGH-FLOW NASAL CANNULA IN CRITICAL COVID-19 PNEUMONIA

139 (29.1%) underwent delaying intubation with HFNC/NIV with a median time to intubation of 2.9 (IQR,0.78-6.16) days, longer compared with the non-intervention group, 0.42 (IQR, 0.11-2.0) days. Kaplan Meier analysis was conducted to determine survival rate and Cox Proportional Hazard regression to determine mortality risk associated with delaying intubation. B Introduction/Hypothesis: b We aimed to determine the mortality risk associated with delaying intubation with High Flow Nasal Cannula (HFNC) and Non-invasive ventilation (NIV) in the setting of critical COVID-19 pneumonia patients that required mechanical ventilation. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Longitudinal humoral antibody response to SARS-CoV-2 infection among healthcare workers in a New York City hospital.

OBJECTIVE: Dynamics of humoral immune responses to SARS-CoV-2 antigens following infection suggest an initial decay of antibody followed by subsequent stabilisation. We aim to understand the longitudinal humoral responses to SARS-CoV-2 nucleocapsid (N) protein and spike (S) protein and to evaluate their correlation to clinical symptoms among healthcare workers (HCWs). DESIGN: A prospective longitudinal study. SETTING: This study was conducted in a New York City public hospital in the South Bronx, New York. PARTICIPANTS: HCWs participated in phase 1 (N=500) and were followed up 4 months later in phase 2 (N=178) of the study. They underwent SARS-CoV-2 PCR and serology testing for N and S protein antibodies, in addition to completion of an online survey in both phases. Analysis was performed on the 178 participants who participated in both phases of the study. PRIMARY OUTCOME MEASURE: Evaluate longitudinal humoral responses to viral N (qualitative serology testing) and S protein (quantitative Mount Sinai Health System ELISA to detect receptor-binding domain and full-length S reactive antibodies) by measuring rate of decay. RESULTS: Anti-N antibody positivity was 27% and anti-S positivity was 28% in phase 1. In phase 1, anti-S titres were higher in symptomatic (6754 (5177-8812)) than in asymptomatic positive subjects (5803 (2825-11 920)). Marginally higher titres (2382 (1494-3797)) were seen in asymptomatic compared with the symptomatic positive subgroup (2198 (1753-2755)) in phase 2. A positive correlation was noted between age (R=0.269, p<0.01), number (R=0.310, p<0.01) and duration of symptoms (R=0.434, p<0.01), and phase 1 anti-S antibody titre. A strong correlation (R=0.898, p<0.001) was observed between phase 1 titres and decay of anti-S antibody titres between the two phases. Significant correlation with rate of decay was also noted with fever (R=0.428, p<0.001), gastrointestinal symptoms (R=0.340, p<0.05), and total number (R=0.357, p<0.01) and duration of COVID-19 symptoms (R=0.469, p<0.001). CONCLUSIONS: Higher initial anti-S antibody titres were associated with larger number and longer duration of symptoms as well as a faster decay between the two time points.