Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019.

BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.

Characteristics and Clinical Outcomes of Adult Patients Hospitalized with COVID-19 - Georgia, March 2020.

SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged ≥65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation† (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.

Multi-hospital Community NICU Quality Improvement Improves Survival of ELBW Infants.

Quality improvement or high reliability in medicine is an evolving science where we seek to integrate evidence-based medicine, structural resources, process management, leadership models, culture, and education. Newborn Associates is a community-based neonatology practice that staffs and manages neonatal intensive care units (NICU's) at Central Mississippi Medical Center, Mississippi Baptist Medical Center, River Oaks Hospital, St Dominic's Hospital and Woman's Hospital within the Jackson, Mississippi, metropolitan area. These hospitals participate in the Vermont-Oxford Neonatal Network (VON), which is a voluntary national network of about 1000 NICU groups that submit data allowing them to benchmark their patient outcome. This network currently holds data on 1.5 million infants. Participation may also include the Newborn Improvement Quality Collaborative (NICQ) which is an intensive quality improvement program where 40-60 of the almost 1000 VON centers participate each year or the iNICQ, which is an internet-based collaborative involving about 150 centers per year. From 2008-2009, our group concentrated efforts on quality improvement which included consolidating resources of three corporately managed hospitals to allow focused care of babies under 800-1000 grams at a single center, expanding participation in the VON NICQ to include all physicians and centers, and establishing a group QI focused committee aimed at sharing practice bundles and adopting quality improvement methodology. The goal of this article is to report the impact of these QI activities on survival of the smallest preterm infants who weigh less than 1500 grams at birth. Two epochs were compared: 2006-2009, and 2010-2013. 551 VLBW (< 1 500 grams) infants from epoch I were compared to 583 VLBW infants from epoch 2. Mortality in this group decreased from 18% to 11.1% (OR 0.62,95% CI 0.44-0.88). Mortality in the 501-750 grams birth weight category decreased from 45.7% to 18% (OR 0.39,95% CI 0.21-0.74). Improved survival was noted in all centers over the time period. These findings suggest that a physician-driven, multidisciplinary, individualized and multifactorial quality improvement effort can positively impact the care of extremely preterm infants in the community NICU setting.