Annals of the American Thoracic Society
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Rationale: Chronic respiratory diseases, among which chronic obstructive pulmonary disease (COPD) remains the largest contributor, are the fourth leading cause of death in the United States. Updated mortality trends provide insight for targeted interventions. Objectives: To provide detailed insights into COPD mortality trends. ⋯ This trend was also present for those with COPD; 451.4 per 1,000 respondents in 2011 were vaccinated against influenza compared with 352.1 per 1,000 respondents in 2018, resulting in an APC of -1.8% (95% CI, -3.3% to -0.2%). Pneumococcal vaccination rates between 2011 and 2018 remained unchanged; meanwhile, deaths caused by pneumococcal disease with COPD decreased, with an APC of -10.1% (95% CI, -16.6% to -3.1%). Conclusions: COPD mortality has decreased among Americans overall; however, there remain important sociodemographic groups that have not secured the same deceleration in death rates.
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Rationale: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U. S. hospitals that was widely used to support medical decision-making during the coronavirus disease (COVID-19) pandemic. The EDI has not been independently evaluated, and other proprietary models have been shown to be biased against vulnerable populations. ⋯ Among the 286 patients hospitalized for at least 48 hours who had not experienced the composite outcome, 14 (13%) never exceeded an EDI of 37.9, with a negative predictive value of 90% and a sensitivity above this threshold of 91%. Conclusions: We found the EDI identifies small subsets of high-risk and low-risk patients with COVID-19 with good discrimination, although its clinical use as an early warning system is limited by low sensitivity. These findings highlight the importance of independent evaluation of proprietary models before widespread operational use among patients with COVID-19.
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Rationale: Patients with hematologic malignancies requiring mechanical ventilation have historically experienced poor outcomes. Objectives: We aimed to determine whether body composition characteristics derived from thoracic computed tomographic (CT) imaging were associated with time to liberation from mechanical ventilation. Methods: We evaluated mechanically ventilated patients with hematological malignancies admitted between 2014 and 2018. ⋯ Skeletal muscle CSA was not associated with time to liberation from ventilation (sHR, 1.08; 95% CI, -0.94 to 1.23). Conclusions: Body composition measurements based on thoracic CT scans were associated with time to liberation from ventilation. These could represent novel surrogate markers of physical frailty in patients with hematologic malignancies receiving mechanical ventilation.
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Ventilator-associated event (VAE) surveillance provides an objective means to measure and compare complications that develop during mechanical ventilation by identifying patients with sustained increases in ventilator settings after a period of stable or decreasing ventilator settings. The impact of the Covid-19 pandemic on VAE rates and characteristics is unknown. ⋯ VAE rates per 100 episodes of mechanical ventilation and per 1000 ventilator days were higher amongst Covid-19 positive versus negative patients. Over 50% of VAEs in Covid-19 patients were caused by progressive ARDS versus less than 15% in patients without Covid-19. These findings provide insight into the natural history of Covid-19 in ventilated patients and may inform targeted strategies to mitigate complications in this population.
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Multicenter Study
Association of Nocturnal Hypoxemia and Pulse Rate Variability with Incident Atrial Fibrillation in Patients Investigated for Obstructive Sleep Apnea.
Rationale: Nocturnal hypoxemia and sympathetic/parasympathetic imbalance might contribute to the occurrence or atrial fibrillation (AF) in patients with obstructive sleep apnea (OSA). During sleep recordings, pulse rate variability (PRV) derived from oximetry might provide an accurate estimation of heart rate variability, which reflects the autonomic cardiovascular control. Objectives: We aimed to evaluate whether indices of oxygen desaturation and PRV derived from nocturnal oximetry were associated with AF incidence in patients investigated for OSA. ⋯ Conclusions: In patients investigated for OSA, nocturnal hypoxemia and PRV indices derived from single-channel pulse oximetry were independent predictors of AF incidence. Patients with both marked nocturnal hypoxemia and high PRV were at higher risk of AF. Oximetry may be used to identify patients with OSA at greatest risk of developing AF.