Goswami, Rohan M

Abstract Aims Cardiovascular disease is a major threat to maternal health, with cardiomyopathy being among the most common acquired cardiovascular diseases during pregnancy and the postpartum period. The aim of our study was to evaluate the effectiveness of an electrocardiogram (ECG)-based deep learning model in identifying cardiomyopathy during pregnancy and the postpartum period. Methods and results We used an ECG-based deep learning model to detect cardiomyopathy in a cohort of women who were pregnant or in the postpartum period seen at Mayo Clinic. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity. We compared the diagnostic probabilities of the deep learning model with natriuretic peptides and a multivariable model consisting of demographic and clinical parameters. The study cohort included 1807 women; 7%, 10%, and 13% had left ventricular ejection fraction (LVEF) of 35% or less, <45%, and <50%, respectively. The ECG-based deep learning model identified cardiomyopathy with AUCs of 0.92 (LVEF ≤ 35%), 0.89 (LVEF < 45%), and 0.87 (LVEF < 50%). For LVEF of 35% or less, AUC was higher in Black (0.95) and Hispanic (0.98) women compared to White (0.91). Natriuretic peptides and the multivariable model had AUCs of 0.85 to 0.86 and 0.72, respectively. Conclusions An ECG-based deep learning model effectively identifies cardiomyopathy during pregnancy and the postpartum period and outperforms natriuretic peptides and traditional clinical parameters with the potential to become a powerful initial screening tool for cardiomyopathy in the obstetric care setting.

Axillary Impella devices are increasingly employed for long-term support of patients with systolic heart failure and shock. Axillary access allows for awake support and ambulation, which carries an inherent risk of disconnection or malposition. We report a series of two cases where device replacement due to dysfunction and malposition can be completed safely through the original axillary graft using axillary graft thrombectomy, given that the clot burden could be a major source of morbidity to the patient.

Objective Solid organ transplant (SOT) recipients have moderately increased risk of pancreatic adenocarcinoma (PAC). We evaluated the incidence and survival of PAC in 2 cohorts and aimed to identify potential risk factors. Methods This study performed a retrospective cohort analysis. Cohort A was extracted from the United Network of Organ Sharing data set and cohort B from SOT recipients evaluated at 3 Mayo Clinic transplant centers. The primary outcome was age-adjusted annual incidence of PAC. Descriptive statistics, hazard ratios, and survival rates were compared. Results Cohort A and cohort B included 617,042 and 29,472 SOT recipients, respectively. In cohort A, the annual incidence rate was 12.78 per 100,000 in kidney-pancreas, 13.34 in liver, and 21.87 in heart-lung transplant recipients. Receiving heart-lung transplant, 50 years or older, and history of cancer (in either recipient or donor) were independent factors associated with PAC. Fifty-two patients developed PAC in cohort B. Despite earlier diagnosis (21.15% with stage I–II), survival rates were similar to those reported for sporadic (non-SOT) patients. Conclusions We report demographic and clinical risk factors for PAC after SOT, many of which were present before transplant and are common to sporadic pancreatic cancer. Despite the diagnosis at earlier stages, PAC in SOT portends a very poor survival.

Objective The aim of the study was to compare incidence and outcomes of acute pancreatitis among advanced heart failure therapies. Methods Two retrospective cohorts are as follows: A, patients with heart failure presenting to our hospitals and B, the US National Inpatient Sample. Three groups were compared: left ventricular assist device (LVAD) recipients, transplant recipients, and controls who did not qualify for advanced therapies. Primary outcomes were pancreatitis incidence and mortality. Secondary outcomes included kidney failure, multiorgan failure, shock, and health care utilization. Results Cohort A included 1344 heart failure patients, and cohort B included 677,905 patients with acute pancreatitis. In cohort A, annual pancreatitis incidence was 6.7 cases per 1000 LVAD recipients, 4.1 per 1000 LVAD bridge-to-transplant, 2.3 per 1000 transplant recipients, and 3.2 per 1000 heart failure controls ( P = 0.03). Combined, the incidence was 5.6 per 1000 LVAD users and 2.7 in 1000 non-LVAD users (relative risk, 2.1; P = 0.009). In cohort B, increased mortality was seen in LVAD users, but not in transplant recipients. Left ventricular assist device patients had higher odds of kidney failure, multiorgan failure, shock, and intensive care. Conclusions Patients with LVAD have double risk of pancreatitis, worse clinical outcomes, and increased healthcare utilization. Studies elucidating the mechanisms behind pancreatic injury in advanced heart failure are suggested.