Faculty Bibliography

BACKGROUND:Constrictive pericarditis is a rare complication of open heart surgery (OHS), but little is known regarding the etiologic determinants, and prognostic factors. The purpose of this study was to investigate clinical predictors and long term prognosis of post-operative constrictive pericarditis (CP). METHODS:Using the Myocardial Infarction Data Acquisition System database, we analyzed records of 142,837 patients who were admitted for OHS in New Jersey hospitals between 1995 and 2015. Ninety-one patients were hospitalized with CP 30 days or longer after discharge from OHS. Differences in proportions were analyzed using Chi square tests. Controls were matched to cases for demographics, surgical procedure type, history of OHS, and propensity score. Cox proportional hazard models were used to evaluate the risk of all-cause death. Log-rank tests and Cox models were used to assess differences in the Kaplan-Meier survival curves with and without adjustments for comorbidities. RESULTS:Patients with CP were more likely to have history of valve disease (VD, p < 0.001), atrial fibrillation (AF, p = 0.024) renal disease (CKD, p = 0.028), hemodialysis (HD, p = 0.008), previous OHS (p < 0.001). Patients with CP compared to matched controls had a higher 7-year mortality (p < 0.001). This difference became statistically significant at 1-year after surgery. CONCLUSION:CP is a rare complication of OHS that occurs more frequently in patients with VD, AF, CKD, HD, multiple OHS, and it is associated with an unfavorable long-term prognosis. Given the large number of OHS performed every year, the results highlight the need for clinicians to recognize and properly manage this complication of OHS.

An outflow graft twist of a left ventricular assist device (LVAD) remains a challenging clinical diagnosis and may even be misdiagnosed for other outflow obstructions. We present a case of a patient with two LVAD exchanges due to suspected outflow graft twisting in both clinical scenarios. As new LVADs continue to be designed and upgraded, clinicians must have a high index of suspicion for this rare complication.

The global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic leading to coronavirus disease 2019 (COVID-19) is straining hospitals. Judicious resource allocation is paramount but difficult due to the unpredictable disease course. Once hospitalized, discerning which patients may progress to critical disease would be valuable for resource planning. Medical records were reviewed for consecutive hospitalized patients with COVID-19 in a large healthcare system in Texas. The main outcome was progression to critical disease within 10 days from admission. Albumin trends from admission to 7 days were analyzed using mixed-effects models, and progression to critical disease was modeled by multivariable logistic regression of laboratory results. Risk models were evaluated in an independent group. Of 153 non-critical patients, 28 (18%) progressed to critical disease. The rate of decrease in mean baseline-corrected (Δ) albumin was -0.08 g/dL/day (95% CI -0.11 to -0.04; p<0.001) or four times faster, in those who progressed compared with those who did not progress. A model of Δ albumin combined with lymphocyte percentage predicting progression to critical disease was validated in 60 separate patients (sensitivity, 0.70; specificity, 0.74). ALLY (delta albumin and lymphocyte percentage) is a simple tool to identify patients with COVID-19 at higher risk of disease progression when: (1) a 0.9 g/dL or greater albumin drop from baseline within 5 days of admission or (2) baseline lymphocyte of ≤10% is observed. The ALLY tool identified >70% of hospitalized cases that progressed to critical COVID-19 disease. We recommend prospectively tracking albumin. This is a globally applicable tool for all healthcare systems.