Predictors of heart failure readmission and all-cause mortality in patients with acute heart failure.

BACKGROUND: Predischarge risk stratification of patients with acute heart failure (AHF) could facilitate tailored treatment and follow-up, however, simple scores to predict short-term risk for HF readmission or death are lacking. METHODS: We sought to develop a congestion-focused risk score using data from a prospective, two-center observational study in adults hospitalized for AHF. Laboratory data were collected on admission. Patients underwent physical examination, 4-zone, and in a subset 8-zone, lung ultrasound (LUS), and echocardiography at baseline. A second LUS was performed before discharge in a subset of patients. The primary endpoint was the composite of HF hospitalization or all-cause death. RESULTS: Among 350 patients (median age 75 years, 43% women), 88 participants (25%) were hospitalized or died within 90 days after discharge. A stepwise Cox regression model selected four significant independent predictors of the composite outcome, and each was assigned points proportional to its regression coefficient: NT-proBNP ≥2000 pg/mL (admission) (3 points), systolic blood pressure < 120 mmHg (baseline) (2 points), left atrial volume index ≥60 mL/m2 (baseline) (1 point) and ≥ 9 B-lines on predischarge 4-zone LUS (3 points). This risk score provided adequate risk discrimination for the composite outcome (HR 1.48 per 1 point increase, 95% confidence interval: 1.32-1.67, p < 0.001, C-statistic: 0.70). In a subset of patients with 8-zone LUS data (n = 176), results were similar (C-statistic: 0.72). CONCLUSIONS: A four-variable risk score integrating clinical, laboratory and ultrasound data may provide a simple approach for risk discrimination for 90-day adverse outcomes in patients with AHF if validated in future investigations.

Management of pneumothoraces detected on chest computed tomography: can anatomical location identify patients who can be managed expectantly?

BACKGROUND: Pneumothorax (PTX) can be readily detected by computed tomography (CT) or ultrasound. However, management of PTX in hemodynamically stable patients remains controversial. STUDY OBJECTIVES: We sought to investigate whether a distinct anatomical distribution of PTX along prespecified chest zones as detected by CT can be described in patients with or without subsequent chest tube thoracotomy (CTT), thus potentially allowing the extended focused assessment with sonography for trauma (EFAST) ultrasound examination to guide PTX management. METHODS: We performed a retrospective review of chest CT scans performed in the emergency department (ED) of a Level I trauma center. CT scans were analyzed for PTX distribution according to a chest zone model. Medical records of subjects with PTX were reviewed for subsequent CTT. RESULTS: Of 3636 chest CT scans performed, 183 PTX (156 patients) were detected without CTT at the time of CT scan (69% male, mean age 42 years). Of these, 66 subjects (40%) underwent CTT; 43 chest tubes (63%) were placed in the ED, 9 (13%) during hospitalization and 9 (13%) in the operating room. Median time to CTT was 140 min (interquartile range 52-199). Initial hemodynamic parameters, need for surgery, and need for mechanical ventilation were similar in both groups (p > 0.05 for all). Anatomical distribution and size of PTX were similar in the two groups. CONCLUSION: Although the majority of patients with traumatic PTX could be managed conservatively, we did not identify a characteristic anatomical PTX pattern, which could identify subjects who may not require CTT.

Are live instructors replaceable? Computer vs. classroom lectures for EFAST training.

BACKGROUND: The EFAST (extended focused assessment with sonography for trauma) is part of the recommended curriculum for Emergency Medicine and Surgery residents. Computer-based lectures may represent a time-efficient alternative to traditional lectures. OBJECTIVES: Our hypothesis was that computer lectures in basic ultrasound and the EFAST are not inferior to classroom lectures in test score improvement for residents with or without prior training. METHODS: First-year Emergency Medicine and Surgery residents were enrolled and completed a pre-test. Subjects were then randomized into a classroom group, which attended traditional lectures, and a computer group, which listened to narrated lectures on computers. After the didactic training, all subjects completed a post-test. RESULTS: Forty-four subjects completed the study: 64% were General Surgery residents, 66% were male. Overall, mean test score improvements were higher in the classroom than in the computer group (28.0% vs. 18.4%). In 25 residents without prior training, mean improvements in the computer and classroom groups were 25% and 27%, respectively. The 95% confidence limit around the difference was 9%, falling within the a priori non-inferiority range of 10%, and consistent with non-inferiority of computer-based lectures. In 19 residents with prior training, mean test score improvements for the computer and classroom groups were 13% and 29%, respectively. The 95% confidence limit of 24% exceeded the non-inferiority range, consistent with inferiority of computer-based lectures. CONCLUSIONS: Computer-based lectures are not inferior to classroom lectures and may represent a worthwhile substitution in subjects without prior ultrasound education. Our data suggest that didactic ultrasound training through classroom lectures is more effective than computer-based lectures in individuals with prior training.