Clinical Outcomes in Critically Ill Coronavirus Disease 2019 Patients: A Unique New York City Public Hospital Experience.

To explore demographics, comorbidities, transfers, and mortality in critically ill patients with confirmed severe acute respiratory syndrome coronavirus 2. DESIGN: Retrospective cohort study. SETTING: Data were collected from a large tertiary care public hospital ICU that is part of the largest public healthcare network in the United States. PATIENTS: One-hundred thirty-seven adult (≥ 18 yr old) ICU patients admitted between March 10, 2020, and April 7, 2020, with follow-up collected through May 18, 2020. INTERVENTIONS: None. MEASUREMENTS: Demographic, clinical, laboratory, treatment, and outcome data extracted from electronic medical records. MAIN RESULTS: The majority of patients were male (99/137; 72.3%) and older than 50 years old (108/137; 78.9%). The most reported ethnicity and race were Hispanic (61/137; 44.5%) and Black (23/137; 16.7%). One-hundred six of 137 patients had at least one comorbidity (77.4%). One-hundred twenty-one of 137 (78.1%) required mechanical ventilation of whom 30 (24.8%) moved to tracheostomy and 46 of 137 (33.6%) required new onset renal replacement therapy. Eighty-two of 137 patients (59.9%) died after a median of 8 days (interquartile range 5-15 d) in the ICU. Male sex had a trend toward a higher hazard of death (hazard ratio, 2.1 [1.1-4.0]) in the multivariable Cox model. CONCLUSIONS: We report a mortality rate of 59.9% in a predominantly Hispanic and Black patient population. A significant association between comorbidities and mortality was not found in multivariable regression, and further research is needed to study factors that impact mortality in critical coronavirus disease 2019 patients. We also describe how a public hospital developed innovative approaches to safely manage a large volume of interhospital transfers and admitted patients.

Clinical Characteristics of COVID-19 Patients in a Regional Population With Diabetes Mellitus: The ACCREDIT Study.

Objective: To identify clinical and biochemical characteristics associated with 7- & 30-day mortality and intensive care admission amongst diabetes patients admitted with COVID-19. Research Design and Methods: We conducted a cohort study collecting data from medical notes of hospitalised people with diabetes and COVID-19 in 7 hospitals within the Mersey-Cheshire region from 1 January to 30 June 2020. We also explored the impact on inpatient diabetes team resources. Univariate and multivariate logistic regression analyses were performed and optimised by splitting the dataset into a training, test, and validation sets, developing a robust predictive model for the primary outcome. Results: We analyzed data from 1004 diabetes patients (mean age 74.1 (± 12.6) years, predominantly men 60.7%). 45% belonged to the most deprived population quintile in the UK. Median BMI was 27.6 (IQR 23.9-32.4) kg/m2. The primary outcome (7-day mortality) occurred in 24%, increasing to 33% by day 30. Approximately one in ten patients required insulin infusion (9.8%). In univariate analyses, patients with type 2 diabetes had a higher risk of 7-day mortality [p < 0.05, OR 2.52 (1.06, 5.98)]. Patients requiring insulin infusion had a lower risk of death [p = 0.02, OR 0.5 (0.28, 0.9)]. CKD in younger patients (<70 years) had a greater risk of death [OR 2.74 (1.31-5.76)]. BMI, microvascular and macrovascular complications, HbA1c, and random non-fasting blood glucose on admission were not associated with mortality. On multivariate analysis, CRP and age remained associated with the primary outcome [OR 3.44 (2.17, 5.44)] allowing for a validated predictive model for death by day 7. Conclusions: Higher CRP and advanced age were associated with and predictive of death by day 7. However, BMI, presence of diabetes complications, and glycaemic control were not. A high proportion of these patients required insulin infusion warranting increased input from the inpatient diabetes teams.

Patient characteristics and compliance with positive airway pressure therapy during New York City's 2020 COVID-19 pandemic stay-at-home orders: The NYU comprehensive epilepsy center-sleep center telemedicine experience.

Objectives: We sought to evaluate the success of telemedicine during New York City's COVID-19 pandemic stay-at-home period, and understand the distribution of sleep complaints seen. We also compared positive airway pressure (PAP) therapy compliance for a random patient sample to determine whether the pandemic influenced PAP usage. Methods: Encounters from the stay-at-home period were reviewed for patient characteristics and clinician impressions, and were compared to administrative data from the prior 2.5 months ("control" period). PAP compliance was compared between the periods for a randomly selected group of forty patients. Results: The telemedicine show rate was 89.37%. Sleep apnea then insomnia were the predominant diagnoses. Insomnia complaints were higher during the stay-at-home period. PAP compliance and AHI were similar between the periods. Conclusions: Sleep apnea and insomnia were common complaints; insomnia was significantly more common during the pandemic. PAP compliance was similar between the two periods for a randomly selected cohort.

Simulation-based uptraining improves provider comfort in the management of critically ill patients with COVID-19.

PURPOSE: The COVID-19 surge required the deployment of large numbers of non-intensive care providers to assist in the management of the critically ill. Institutions took a variety of approaches to "uptraining" such providers though studies describing methods and effectiveness are lacking. MATERIALS AND METHODS: One hundred and seventy-five providers underwent a 3 h simulation-based session focused on management of shock, mechanical ventilation, acute respiratory distress syndrome, and critical care ultrasound. All participants were sent surveys to assess their comfort with various aspects of critical care following return to their usual work environments. RESULTS: One hundred and eight providers of 175 (62%) completed the survey. Overall, 104/108 responders (96%) felt training either significantly or somewhat improved their knowledge in the management of ICU patients. Responders felt most comfortable in the management of hypoxemia in intubated patients and the management of ventilated patients with acute respiratory distress syndrome (93% strongly agree or agree, and 86% strongly agree or agree, respectively). Fewer responders felt more comfortable using focused echocardiography (70% strongly agree or agree) and lung ultrasonography in following progression of COVID-19 (76% strongly agree or agree). CONCLUSIONS: Simulation-based training improved provider comfort in the management of critically ill patients with COVID-19.

Simulation-Based Up-Training in Response to the COVID-19 Pandemic.

STATEMENT: The dramatic outbreak of COVID-19 placed unprecedented strain on the critical care workforce of New York City. The enhanced precautions required to safely care for COVID-19 patients impacted the performance of even routine critical care procedures. Meanwhile, staff were stretched to care for exponentially rising case volume as COVID intensive care units (ICUs) expanded. Simulation was used to bridge these gaps-first to familiarize personnel within the Division of Pulmonary and Critical Care with revised COVID-19 care procedures, then to orient noncritical care clinicians volunteering from other specialties for COVID ICU deployment to general critical care and COVID-19 care principles. Using mannequin-based simulation scenarios followed by comprehensive debriefing sessions, simulation participants received high-intensity, high-fidelity training in respiratory failure, circulatory failure, bedside ultrasound, bedside ICU procedures, and elements of COVID-19-specific care. More than 200 physicians and advanced practice practitioners completed simulation training in preparation for deployment, supplementing and enhancing the ICU workforce at a decisive time during the outbreak.