Experience of nurses caring for covid-19 patients supported by vv ecmo after educational ecmo crash course

Introduction: During a six-week period beginning in early March 2020, thirty patients with severe COVID-19 were supported with VV-ECMO. This volume increase mandated rapidly training 116 nurses with no prior ECMO experience via a two-hour crash course. A qualitative study was conducted to evaluate the experiences of this unique nursing cohort. Methods: A total of 14 nurses were enrolled. Eligibility criteria included direct assignment of COVID-19 ECMO patients, attendance of the crash course, and no prior ECMO experience. Two semi-structured interviews were conducted. The first interview involved collecting demographics and asking a series of eight opened ended questions. The follow-up interview allowed each subject time for reflection and validated the initial interaction. All interviews were audio recorded and transcribed verbatim utilizing a transcription service. Thematic analysis of the interviews was completed using Colaizzi's phenomenological method. Results: Of the 14 subjects, 13 completed the study in its entirety with one subject not completing the follow-up interview. Themes identified were anxiety, fear of patient harm, value of didactic education with reinforced clinical experience, team collaboration, professional growth, pride, and compassion. Newly trained nurses found patient care to be rewarding and viewed ECMO as a hopeful opportunity during the pandemic. Nurses also verbalized feeling better equipped to face future emergencies or pandemics. Conclusion: Nurses faced multiple obstacles during the pandemic. ECMO added a layer of complexity, as these patients required labor-intensive, highly acute nursing care. The impact of the pandemic and its unique challenges on nursing and medical staff warrants further investigation.

Evaluation of the airway viral load in acute sars-cov2 infection as a predictor of clinical outcome

Rationale: Throughout recent studies, data suggests high viral load in the plasma and nasopharynx of patients with severe SARS-CoV2 infection is associated with disease severity (mortality, length of hospitalization, and risk of intubation). Here, we evaluated whether viral load in the airway is associated with poor clinical outcomes in patients with SARS-CoV2. Methods: Lower airway samples in 148 patients from an academic center that were admitted to the ICU (dates: March 10th to May 10th, 2020) with severe respiratory failure requiring mechanical ventilation and underwent bronchoscopy for airway clearance and/or tracheostomy. Clinical outcome was defined as ≤ 28 Day mechanical ventilation vs. > 28 Day mechanical ventilation vs. death. Post-admission followup time was 232 [IQR 226-237] days. RNA was isolated in parallel using zymoBIOMICS™ DNA/RNA Miniprep Kit (Cat: R2002) as per manufacturer's instructions. Viral load was measured by quantitative real-time reverse transcription polymerase chain reaction (rRT -PCR) targeting the virus nucleocapsid (N) gene and an additional primer/probe set to detect the human RNase P gene (RP). Results: Among this bronchoscopy cohort, n=58 39% of the subjects were successfully extubated within 28 days of initiation of mechanical ventilation, n=56 38% required prolonged mechanical ventilation and n=34 23% died. We evaluated the viral load by rRT-PCR for SARSCoV2 N gene adjusted by human RP gene throughout the respiratory tract using supraglottic samples and bronchoalveolar lavage (BAL) samples obtained during bronchoscopy. Paired analysis of upper and lower airway samples shows that there is a subset of subjects (n=31, 21%) where there is greater viral load in the BAL than in the supraglottic area supporting topographical differences in viral replication (Fig 1A). BAL samples from subjects that died had higher viral load in their lower airways than patients that survived, even after adjusting for confounders such as age, gender, BMI and timing of sample collection (Fig 1B magenta dots (deceased) vs. yellow/green dots (alive)). Conclusions: Using samples obtained via bronchoscopy we identified that in a subset of subjects with acute SARS-CoV2 infection, the lower airways are the predominant site for viral replication. From our study, it is unclear if the higher viral load reflects host co-morbidies (e.g., diabetes or immunosuppression) or viral factors favoring higher replication. High viral load can be used as a predictor for disease severity upon hospital admission as viral load in the lower airways correlated with poor outcomes.

Evaluation of the lower airway microbiota in patients with severe sars-cov2

RATIONALE:Secondary infections with bacterial pathogens are thought to be responsible for poor outcomes in the 1918 Spanish and H1N1 pandemics. We postulate that poor prognosis in patients with SARS-CoV2 may be associated with uncontrollable viral replication, co-infection with a secondary pathogen, and over exuberant host immune response. We seek to evaluate whether there is an association between distinct features of the lower airway microbiota and poor clinical outcome in patients with SARS-CoV2. METHODS:We collected lower airway samples in 148 patients from NYU admitted between 3/10/2020 and 5/10/2020 with severe respiratory failure requiring mechanical ventilation and that underwent bronchoscopy for airway clearance and/or tracheostomy. Clinical outcome was defined as dead vs alive. DNA was isolated in parallel using zymoBIOMICS™ DNA/RNA Miniprep Kit (Cat: R2002) as per manufacturer's instructions. The V4 region of the 16S rRNA gene marker was sequenced using Illumina MiSeq. Sequences were analyzed using the Quantitative Insights into Microbial Ecology (QIIME version 1.9.1) pipeline. Total bacterial load was evaluated in lower airway samples using digital droplet PCR targeting the 16S rRNA gene. RESULTS:Of the 148 patients included, 114 survived (77%) and 34 (23%) died. Among those with poor clinical outcome, there was a non-statistically significant trend towards higher age and BMI. Patients who died more commonly had chronic kidney disease and prior cerebrovascular accidents, and more often required dialysis. There was no statistically significant difference in the rate of positive bacterial respiratory or blood cultures among those that survived vs. those that died (75 vs. 73% and 43 vs 38%, respectively). Topographical analysis of the 16S RNA microbiome shows compositional differences between the upper and lower airways based on β diversity comparisons. When comparing across clinical outcomes, the α diversity was lower in the dead group but there was no statistically significant difference in overall community composition (β diversity). Taxonomic differential enrichment analysis using DESeq analysis showed that oral commensals were enriched in the group that survived. Patients that died had a higher bacterial load in their lower airways than those who survived. CONCLUSION:Using samples obtained via bronchoscopy we identified lower airway microbiota signatures associated with mortality among critical patients infected with SARS-CoV2. Taxonomic signals identified as associated with poor prognosis did not reveal bacterial taxa commonly classified as respiratory pathogens. This data is not supportive of the hypothesis that secondary untreated bacterial co-infections are responsible for increased mortality in patients with severe SARS-CoV-2.