Faculty Bibliography

BACKGROUND:Change of the corrected flow time (Ftc) is a surrogate for tracking stroke volume (SV) in the intensive care unit. Multiple Ftc equations have been proposed; many have not had their diagnostic characteristics for detecting SV change reported. Further, little is known about the inherent Ftc variability induced by the respiratory cycle. MATERIALS AND METHODS/METHODS:Using a wearable Doppler ultrasound patch, we studied the clinical performance of 11 Ftc equations to detect a 10% change in SV measured by non-invasive pulse contour analysis; 26 healthy volunteers performed a standardized cardiac preload modifying maneuver. RESULTS:, respectively. As an exploratory analysis, we studied 3335 carotid beats for the dispersion of Ftc during quiet breathing using the equations of Wodey and Bazett. The coefficient of variation of Ftc during quiet breathing for these formulae were 0.06 and 0.07, respectively. CONCLUSIONS:Most of the 11 different equations used to calculate carotid artery Ftc from a wearable Doppler ultrasound patch had similar thresholds and abilities to detect SV change in healthy volunteers. Variation in Ftc induced by the respiratory cycle is important; measuring a clinically significant change in Ftc with statistical confidence requires a large sample of beats.

This case reports a 47-year-old male with a history of IV drug abuse, presenting with one week of left lower back pain. During the initial treatment, the patient became hemodynamically unstable, requiring vasopressor support. Transthoracic echocardiography (TTE) revealed a 1 cm x 1 cm aortic valve vegetation with severe aortic regurgitation and potential perforation of the valve leaflet. After hemodynamic stability was achieved, the patient left against medical advice, refusing urgent valvular surgery. Subsequent follow-up unveiled repeated recurrence of symptoms and surgical repair of the aortic valve.

INTRODUCTION/BACKGROUND:Asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a newly redefined form of chronic airway disease and has not been well studied among 9/11-exposed populations with increased prevalence of asthma. We assessed the prevalence and risk factors associated with ACO in an exposure cohort of World Trade Center Health Registry (WTCHR) enrollees. METHODS:This is a longitudinal study, including enrollees with complete data on 9/11/01 exposure at enrollment (2003-2004, Wave 1), asthma and COPD diagnoses and at least 25 years of age at the time of the 2015-2016 (Wave 4) WTCHR survey. Probable ACO was defined as self-reported post-9/11 physician-diagnosed asthma and either emphysema, chronic bronchitis, or COPD. We evaluated whether probable ACO was associated with World Trade Center (WTC)-related exposures, using multivariable logistic regression. RESULTS:Of 36,864 Wave 4 participants, 29,911 were eligible for this analysis, and 1,495 (5.0%) had self-reported post-9/11 probable ACO. After adjusting for demographics and smoking status, we found 38% increased odds of having ACO in enrollees with exposure to the dust cloud, and up to 3.39 times the odds in those with ≥3 injuries sustained on 9/11. Among rescue/recovery workers, ever working on the pile, on the pile on 9/11 or 9/12/01, or working on the WTC site for >7 days showed increased odds ratios of having ACO. CONCLUSION/CONCLUSIONS:Probable ACO is associated with WTC exposures. Further study of ACO is needed to understand the development of this and other environmentally or occupationally-related airway diseases, and how to prevent these in disasters like 9/11.

Covid-19 is a new highly contagious RNA viral disease that has caused a global pandemic. Human-to-human transmission occurs primarily through oral and nasal droplets and possibly through the airborne route. The disease may be asymptomatic or the course may be mild with upper respiratory symptoms, moderate with non-life-threatening pneumonia, or severe with pneumonia and acute respiratory distress syndrome. The severe form is associated with significant morbidity and mortality. While patients who are unstable and in acute distress need immediate in-person attention, many patients can be evaluated at home by telemedicine or videoconferencing. The more benign manifestations of Covid-19 may be managed from home to maintain quarantine, thus avoiding spread to other patients and health care workers. This document provides an overview of the clinical presentation of Covid-19, emphasizing telemedicine strategies for assessment and triage of patients. Advantages of the virtual visit during this time of social distancing are highlighted.

New York City has been described as the epicenter of the COVID-19 pandemic in the United States. While health care workers are notably at increased risk for COVID-19 infection, the impact on resident physicians remains unclear. In this issue of the JCI, Breazzano et al. surveyed resident physicians for their exposure to COVID-19 during the exponential phase of the COVID-19 pandemic. The researchers also assessed how personal protective equipment (PPE) and COVID-19 testing protected health care workers (HCWs) from infection. This study highlights resident physician experiences of the first COVID-19 wave that can inform and improve preparedness for upcoming COVID-19 surges and other future epidemics.

Sleep disruption caused by obstructive sleep apnea (OSA) may be associated with hyperalgesia and may contribute to poor pain control and use of prescription opioids. However, the relationship between OSA and opioid prescription is not well described. We examine this association using cross-sectional data from a national cohort of veterans from recent wars enrolled from October 1, 2001 to October 7, 2014. The primary outcome was the relative risk ratio (RRR) of receiving opioid prescriptions for acute (<90 days/year) and chronic (≥90 days/year) durations compared with no opioid prescriptions. The primary exposure was a diagnosis of OSA. We used multinomial logistic regression to control for factors that may affect diagnosis of OSA or receipt of opioid prescriptions. Of the 1,149,874 patients (mean age 38.0 ± 9.6 years) assessed, 88.1% had no opioid prescriptions, 9.4% had acute prescriptions, and 2.5% had chronic prescriptions. Ten percent had a diagnosis of OSA. Patients with OSA were more likely to be older, male, nonwhite, obese, current or former smokers, have higher pain intensity, and have medical and psychiatric comorbidities. Controlling for these differences, patients with OSA were more likely to receive acute (RRR 2.02 [95% confidence interval 1.98-2.06]) or chronic (RRR 2.15 [2.09-2.22]) opioids. Further dividing opioid categories by high vs low dosage did not yield substantially different results. Obstructive sleep apnea is associated with a two-fold likelihood of being prescribed opioids for pain. Clinicians should consider incorporating OSA treatment into multimodal pain management strategies; OSA as a target for pain management should be further studied.

Behavioral interventions have been shown to have powerful effects on human behavior both outside of and within the context of health care. As organizations increasingly adopt behavioral architecture, care must be taken to consider its potential negative consequences. An evidenced-based approach is best, whereby interventions that might have a significant deleterious effect on patients' health outcomes are first tested and rigorously evaluated before being systematically rolled out. In the case of clinical decision support, brief and thorough instructions should be provided for use. Physician performance when using these systems is best measured relatively, in the context of peers with similar training. Responsibility for errors must be shared with clinical team members and system designers.