A 19-Year-Old With Hemoptysis and Shortness of Breath.

CASE PRESENTATION: A 19-year-old woman with no medical history who did not use tobacco presented to the hospital with post-COVID-19 cough for 2 months and new onset of shortness of breath and blood-tinged sputum. She was initially treated empirically for community-acquired pneumonia because her chest radiograph showed a right upper lobe infiltrate. Further CT scan imaging revealed a right hilar lymph node conglomerate and extensive lymphadenopathy. The patient left to pursue care at a facility that accepted her insurance. Two weeks later, the patient presented for severe left-sided lower back pain, and she was found to have new complete left lower lobe collapse, likely because of extrinsic compression of the left lower lobe bronchus. She was treated for pain, and she left for insurance reasons. Two months later, the patient presented with progressive shortness of breath and hemoptysis and a 23-kg weight loss over the past 4 months. Because of the patient's increasing medical needs, she was transferred to our institution, where she was admitted to the medical ICU.

Initial changes in peak aortic jet velocity and mean gradient predict progression to severe aortic stenosis.

BACKGROUND: There is significant interindividual variability in the rate of aortic stenosis (AS) progression that is not accounted for in the current surveillance algorithms. We sought to examine the association between changes in peak aortic jet velocity (Vmax) and mean gradient (MG) among patients with mild or moderate AS and risk of progression to severe disease. METHODS: Adult subjects referred for echocardiography at a single academic referral center with a diagnosis of mild or moderate AS and ≥2 additional surveillance echocardiograms were included in the study. Changes in Vmax and MG between the first two echocardiograms were indexed to time and tested for association with future progression to severe AS. RESULTS: Among three hundred and sixty-four subjects, the median time between first and second echocardiograms was 1.3 years and initial changes in Vmax and MG indexed to time were +0.16 m/s per year and +1.44 mmHg per year, respectively. Fifty-three (15%) and fifty-six (15%) subjects progressed to severe AS defined by Vmax and MG, respectively. In multivariable logistic regression, initial increase in Vmax (OR = 4.19, 95% CI 1.93-9.10, p < 0.001) and initial increase in MG (OR = 1.12, 95% CI 1.06-1.18, p < 0.001) were associated with progression to severe AS. CONCLUSIONS: Initial changes in Vmax and MG among patients with mild or moderate AS are strongly associated with risk of progression to severe AS and may help guide individualized surveillance strategies.

Barriers to Early Hospital Discharge: A Cross-Sectional Study at Five Academic Hospitals.

BACKGROUND: Understanding the issues delaying hospital discharges may inform efforts to improve hospital throughput. OBJECTIVE: This study was conducted to identify and determine the frequency of barriers contributing to delays in placing discharge orders. DESIGN: This was a prospective, cross-sectional study. Physicians were surveyed at approximately 8:00 AM, 12:00 PM, and 3:00 PM and were asked to identify patients that were "definite" or "possible" discharges and to describe the specific barriers to writing discharge orders. SETTING: This study was conducted at five hospitals in the United States. PARTICIPANTS: The study participants were attending and housestaff physicians on general medicine services. PRIMARY OUTCOMES AND MEASURES: Specific barriers to writing discharge orders were the primary outcomes; the secondary outcomes included discharge order time for high versus low team census, teaching versus nonteaching services, and rounding style. RESULTS: Among 1,584 patient evaluations, the most common delays for patients identified as "definite" discharges (n = 949) were related to caring for other patients on the team or waiting to staff patients with attendings. The most common barriers for patients identified as "possible" discharges (n = 1,237) were awaiting patient improvement and for ancillary services to complete care. Discharge orders were written a median of 43-58 minutes earlier for patients on teams with a smaller versus larger census, on nonteaching versus teaching services, and when rounding on patients likely to be discharged first (all P < .003). CONCLUSIONS: Discharge orders for patients ready for discharge are most commonly delayed because physicians are caring for other patients. Discharges of patients awaiting care completion are most commonly delayed because of imbalances between availability and demand for ancillary services. Team census, rounding style, and teaching teams affect discharge times.