Faculty Bibliography

Respiratory failure is associated with increased mortality in COVID-19 patients. There are no validated lower airway biomarkers to predict clinical outcome. We investigated whether bacterial respiratory infections were associated with poor clinical outcome of COVID-19 in a prospective, observational cohort of 589 critically ill adults, all of whom required mechanical ventilation. For a subset of 142 patients who underwent bronchoscopy, we quantified SARS-CoV-2 viral load, analysed the lower respiratory tract microbiome using metagenomics and metatranscriptomics and profiled the host immune response. Acquisition of a hospital-acquired respiratory pathogen was not associated with fatal outcome. Poor clinical outcome was associated with lower airway enrichment with an oral commensal (Mycoplasma salivarium). Increased SARS-CoV-2 abundance, low anti-SARS-CoV-2 antibody response and a distinct host transcriptome profile of the lower airways were most predictive of mortality. Our data provide evidence that secondary respiratory infections do not drive mortality in COVID-19 and clinical management strategies should prioritize reducing viral replication and maximizing host responses to SARS-CoV-2.

The coronavirus disease 2019 (COVID-19) pandemic has stretched our healthcare system to the brink, highlighting the importance of efficient resource utilization without compromising healthcare provider safety. While advanced imaging is a great resource for diagnostic purposes, the risk of contamination and infection transmission is high and requires extensive logistical planning for intrahospital patient transport, healthcare provider safety, and post-imaging decontamination. This dilemma has necessitated the transition to more bedside imaging. More so than ever, during the current pandemic, the clinical utility and importance of point-of-care ultrasound (POCUS) cannot be overstressed. It allows for safe and efficient beside procedural guidance and provides front line providers with valuable diagnostic information that can be acted upon in real-time for immediate clinical decision-making. The authors have been routinely using POCUS for the management of COVID-19 patients both in the emergency department and in intensive care units turned into "COVID-units." In this article, we review the nuances of using POCUS in a pandemic situation and maximizing diagnostic output from this bedside technology. Additionally, we review various methods and diagnostic uses of POCUS which can replace conventional imaging and bridge current literature and common clinical practices in critically ill patients. We discuss practical guidance and pertinent review of the literature for the most relevant procedural and diagnostic guidance of respiratory illness, hemodynamic decompensation, renal failure, and gastrointestinal disorders experienced by many patients admitted to COVID-units.

OBJECTIVES/OBJECTIVE:To evaluate the impact of ICU surge on mortality and to explore clinical and sociodemographic predictors of mortality. DESIGN/METHODS:Retrospective cohort analysis. SETTING/METHODS:NYC Health + Hospitals ICUs. PATIENTS/METHODS:Adult ICU patients with coronavirus disease 2019 admitted between March 24, and May 12, 2020. INTERVENTIONS/METHODS:None. MEASUREMENTS AND MAIN RESULTS/RESULTS:Hospitals reported surge levels daily. Uni- and multivariable analyses were conducted to assess factors impacting in-hospital mortality. Mortality in Hispanic patients was higher for high/very high surge compared with low/medium surge (69.6% vs 56.4%; p = 0.0011). Patients 65 years old and older had similar mortality across surge levels. Mortality decreased from high/very high surge to low/medium surge in, patients 18-44 years old and 45-64 (18-44 yr: 46.4% vs 27.3%; p = 0.0017 and 45-64 yr: 64.9% vs 53.2%; p = 0.002), and for medium, high, and very high poverty neighborhoods (medium: 69.5% vs 60.7%; p = 0.019 and high: 71.2% vs 59.7%; p = 0.0078 and very high: 66.6% vs 50.7%; p = 0.0003). In the multivariable model high surge (high/very high vs low/medium odds ratio, 1.4; 95% CI, 1.2-1.8), race/ethnicity (Black vs White odds ratio, 1.5; 95% CI, 1.1-2.0 and Asian vs White odds ratio 1.5; 95% CI, 1.0-2.3; other vs White odds ratio 1.5, 95% CI, 1.0-2.3), age (45-64 vs 18-44 odds ratio, 2.0; 95% CI, 1.6-2.5 and 65-74 vs 18-44 odds ratio, 5.1; 95% CI, 3.3-8.0 and 75+ vs 18-44 odds ratio, 6.8; 95% CI, 4.7-10.1), payer type (uninsured vs commercial/other odds ratio, 1.7; 95% CI, 1.2-2.3; medicaid vs commercial/other odds ratio, 1.3; 95% CI, 1.1-1.5), neighborhood poverty (medium vs low odds ratio 1.6, 95% CI, 1.0-2.4 and high vs low odds ratio, 1.8; 95% CI, 1.3-2.5), comorbidities (diabetes odds ratio, 1.6; 95% CI, 1.2-2.0 and asthma odds ratio, 1.4; 95% CI, 1.1-1.8 and heart disease odds ratio, 2.5; 95% CI, 2.0-3.3), and interventions (mechanical ventilation odds ratio, 8.8; 95% CI, 6.1-12.9 and dialysis odds ratio, 3.0; 95% CI, 1.9-4.7) were significant predictors for mortality. CONCLUSIONS:Patients admitted to ICUs with higher surge scores were at greater risk of death. Impact of surge levels on mortality varied across sociodemographic groups.

Mortality among patients with COVID-19 and respiratory failure is high and there are no known lower airway biomarkers that predict clinical outcome. We investigated whether bacterial respiratory infections and viral load were associated with poor clinical outcome and host immune tone. We obtained bacterial and fungal culture data from 589 critically ill subjects with COVID-19 requiring mechanical ventilation. On a subset of the subjects that underwent bronchoscopy, we also quantified SARS-CoV-2 viral load, analyzed the microbiome of the lower airways by metagenome and metatranscriptome analyses and profiled the host immune response. We found that isolation of a hospital-acquired respiratory pathogen was not associated with fatal outcome. However, poor clinical outcome was associated with enrichment of the lower airway microbiota with an oral commensal ( Mycoplasma salivarium ), while high SARS-CoV-2 viral burden, poor anti-SARS-CoV-2 antibody response, together with a unique host transcriptome profile of the lower airways were most predictive of mortality. Collectively, these data support the hypothesis that 1) the extent of viral infectivity drives mortality in severe COVID-19, and therefore 2) clinical management strategies targeting viral replication and host responses to SARS-CoV-2 should be prioritized.

Mortality among patients with COVID-19 and respiratory failure is high and there are no known lower airway biomarkers that predict clinical outcome. We investigated whether bacterial respiratory infections and viral load were associated with poor clinical outcome and host immune tone. We obtained bacterial and fungal culture data from 589 critically ill subjects with COVID-19 requiring mechanical ventilation. On a subset of the subjects that underwent bronchoscopy, we also quantified SARS-CoV-2 viral load, analyzed the microbiome of the lower airways by metagenome and metatranscriptome analyses and profiled the host immune response. We found that isolation of a hospital-acquired respiratory pathogen was not associated with fatal outcome. However, poor clinical outcome was associated with enrichment of the lower airway microbiota with an oral commensal ( Mycoplasma salivarium ), while high SARS-CoV-2 viral burden, poor anti-SARS-CoV-2 antibody response, together with a unique host transcriptome profile of the lower airways were most predictive of mortality. Collectively, these data support the hypothesis that 1) the extent of viral infectivity drives mortality in severe COVID-19, and therefore 2) clinical management strategies targeting viral replication and host responses to SARS-CoV-2 should be prioritized.

Patients with kidney failure and acute respiratory distress syndrome (ARDS) requiring prone position have not been candidates for peritoneal dialysis (PD) due to concern with increased intra-abdominal pressure, reduction in respiratory system compliance and risks of peritoneal fluid leaks. We describe our experience in delivering acute PD during the surge in Covid-19 acute kidney injury (AKI) in the subset of patients requiring prone positioning. All seven patients included in this report were admitted to the intensive care unit with SARS-CoV-2 infection leading to ARDS, AKI and multisystem organ failure. All required renal replacement therapy, and prone positioning to improve ventilation/perfusion mismatch. All seven were able to continue PD despite prone positioning without any detrimental effects on respiratory mechanics or the need to switch to a different modality. Fluid leakage was noted in 71% of patients, but mild and readily resolved. We were able to successfully implement acute PD in ventilator-dependent prone patients suffering from Covid-19-related AKI. This required a team effort and some modifications in the conventional PD prescription and delivery.

INTRODUCTION: The COVID-19 pandemic overwhelmed New York City hospitals. Shortages of ventilators and sedatives prompted tracheostomy earlier than recommended by professional societies. The objective of this study was to determine the impact of percutaneous dilational tracheostomy (PDT) in COVID-19 patients on critical care capacity.
METHOD(S): This is a single-institution prospective case series of SARS-CoV-2 infected patients undergoing PDT from April 1-June 4, 2020 with follow-up through June 25, 2020 at a public tertiary care center. Clinical data were obtained through medical record review. Mechanically ventilated COVID-19 patients were screened for intervention based on the following criteria: >= 6 days of intubation with further need for mechanical ventilation, a fractional inspired oxygen concentration of <= 60%, positive end expiratory pressure <=12, no significant organ dysfunction except acute kidney injury, and minimal pressor requirements. The main outcomes measured were change in 48-hour periprocedural sedative/analgesia requirements, liberation from the ventilator, rate of transfer from the ICU, decannulation, PDT-related complications, and in-hospital survival.
RESULT(S): Fifty-five patients met PDT criteria and underwent PDT a median of 13 days from intubation. Patient characteristics are found in Table 1. Intravenous midazolam equivalents, fentanyl equivalents and cisatracurium equivalents were significantly reduced post- PDT (Table 2). Thirty-five patients were transferred from the ICU and liberated from the ventilator. Median time from PDT to ventilator liberation and ICU discharge was 10 and 12 days respectively. Decannulation occurred in 45.5% and 52.7% were discharged from acute inpatient care. Median follow-up for the study was 62 days. Four patients had bleeding complications postoperatively and 11 died during the study period. Older age was associated with increased odds of complication (OR 1.12, 95% CI 1.04, 1.23) and death (OR=1.15, 95% CI 1.05, 1.30).
CONCLUSION(S): Mechanically ventilated COVID-19 patients undergoing PDT using standard criteria improves ventilator and medication utilization in areas strained by the SARS-CoV-2 pandemic. Long term outcomes after PDT in this population deserve further study

To explore demographics, comorbidities, transfers, and mortality in critically ill patients with confirmed severe acute respiratory syndrome coronavirus 2.