Citations

Abstract Background Evidence suggests an association between obesity and the risk for cardiomyopathy development, however robust evidence is still lacking. In this study we sought to explore the relationship of obesity with hypertrophic (HCM) and dilated cardiomyopathy (DCM) and possible interactions with sex using large scale epidemiological real-world data. Methods and Results We analyzed data from the Nationwide Inpatient Sample (NIS) of U.S. hospitalizations for the years 2015-2019. There were a total of n=46,934 admissions with a diagnosis of HCM and n=170,924 with DCM. There was a significant interaction between cardiomyopathies’ diagnosis with sex and age subgroups; the rates of both DCM and HCM increased with age (p<0.001 for both); DCM diagnosis was significantly higher in males compared with females (0.85% vs. 0.35%, p<0.001). After adjustment for age, sex, race, and presence of arterial hypertension there was a significant stepwise positive association between obesity and the population rates of both cardiomyopathy subtypes. For hospitalized patients with a body mass index (BMI) ≥30kg/m2 there was an odds ratio (OR) of 1.68 (95%CI: 1.55-1.81, p<0.001) for HCM andOR=1.82 (95%CI: 1.79-1.84, p<0.001) for DCM. More importantly, the positive relationship between a cardiomyopathy diagnosis (HCM or DCM) with increasing BMI was driven by the male sex (p<0.001 for both) and it was non-significant in females. Conclusions The findings from this nationwide observational analysis support a sexual dimorphism in the relationship between obesity and hypertrophic or dilated cardiomyopathy, which should be further investigated.Cardiomyopathy-obesity

SummaryEvidence suggests an association between obesity and the risk for cardiomyopathy development; however, robust evidence is still lacking. In this study we sought to explore the relationship of obesity with hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) and possible interactions with sex using large‐scale epidemiological real‐world data. We analysed data from the Nationwide Inpatient Sample of US hospitalisations for the years 2015–2019. There were a total of 46 934 admissions with diagnosis of HCM and 170 924 with DCM. There was a significant interaction between cardiomyopathies' diagnosis with sex and age subgroups; the rates of both DCM and HCM increased with age (p < .001 for both); DCM diagnosis was significantly higher in males compared with females (0.85% vs. 0.35%, p < .001). After adjustment for age, sex, race and presence of arterial hypertension there was a significant stepwise positive association between obesity and the population rates of both cardiomyopathy subtypes. For hospitalised patients with a body mass index (BMI) ≥30 kg/m2 there was an odds ratio (OR) of 1.68 (95% CI: 1.55–1.81, p < .001) for HCM and OR = 1.82 (95% CI: 1.79–1.84, p < .001) for DCM. More importantly, the positive relationship between a cardiomyopathy diagnosis (HCM or DCM) with increasing BMI was driven by the male sex (p < .001 for both) and it was non‐significant in females. The findings from this nationwide observational analysis support a sexual dimorphism in the relationship between obesity and HCM or DCM, which should be further investigated.

AbstractBackgroundLeft bundle branch block (LBBB) induced cardiomyopathy is an increasingly recognized disease entity. However, no clinical testing has been shown to be able to predict such an occurrence.Case reportA 70‐year‐old male with a prior history of LBBB with preserved ejection fraction (EF) and no other known cardiovascular conditions presented with presyncope, high‐grade AV block, and heart failure with reduced EF (36%). His coronary angiogram was negative for any obstructive disease. No other known etiologies for cardiomyopathy were identified. Artificial intelligence‐enabled ECGs performed 6 years prior to clinical presentation consistently predicted a high probability (up to 91%) of low EF. The patient successfully underwent left bundle branch area (LBBA) pacing with correction of the underlying LBBB. Subsequent AI ECGs showed a large drop in the probability of low EF immediately after LBBA pacing to 47% and then to 3% 2 months post procedure. His heart failure symptoms markedly improved and EF normalized to 54% at the same time.ConclusionsArtificial intelligence‐enabled ECGS may help identify patients who are at risk of developing LBBB‐induced cardiomyopathy and predict the response to LBBA pacing.

Background: Survey studies have found an increased prevalence of migraine in patients with inflammatory bowel disease (IBD). However, the clinical characteristics of migraines in this population are unknown. We conducted a retrospective medical record review study to characterize migraines in the IBD population. Methods: Six hundred seventy-five migraine patients (280 with IBD, 395 without IBD) who were evaluated at Mayo Clinic Rochester, Mayo Clinic Arizona, or Mayo Clinic Florida between July 2009 and March 2021 were included. Patients with ICD codes for migraine and either Crohn’s disease (CD) or ulcerative colitis (UC) were selected. Electronic health care records were reviewed. Patients confirmed to have IBD and migraine were included. Demographic, IBD, and migraine characteristics were collected. Statistical analysis was completed using SAS. Results: Patients with IBD were less often male (8.6% vs 21.3%, P < .001) and had a higher Charlson Comorbidity Index (>2: 24.6% vs 15.7%, P = .003); 54.6% had CD and 39.3% had UC. Patients with IBD had migraine with aura and without aura more frequently ( OR 2.20, P < .001 and OR 2.79, P < .001, respectively) than non-IBD patients. Additionally, those with IBD less commonly had chronic migraine (OR 0.23, P < .001) and less commonly had chronic migraine or treatment for migraine (ORs 0.23-0.55, P ≤ .002). Conclusions: Migraine with and without aura have increased prevalence in IBD patients. Further study of this topic will be helpful to clarify the prevalence of migraine, establish this population’s response to treatment, and better understand the reason(s) for a low rate of treatment.

Introduction: There is paucity of data on the relationship between hospital procedural volume and outcomes of primary percutaneous coronary intervention (PCI) procedures in the past decade. Methods: We queried the National Inpatient Sample database (2010-2016) for hospitalizations undergoing primary PCI for STEMI. Hospitals were divided into 3 groups: low-volume (<36 primary PCI/ year), moderate-volume (36-72 primary PCI/year) and high-volume (>72 primary PCI/ year). The main outcome was in-hospital mortality. Results: The analysis included 694,505 hospitalizations for primary PCI. There were 329,878 (47.5%) primary PCI procedures performed at low-volume hospitals, 224,317 (32.3%) at moderate-volume, and 140,223 (20.2%) at high-volume hospitals. Compared with high-volume hospitals, low-volume hospitals were associated with higher in-hospital mortality in the unadjusted model (5.3% vs. 4.8%, odds ratio [OR] 1.10; 95% confidence interval-CI 1.02-1.18, p=0.01) and on multivariable analysis (adjusted-OR 1.15; 95%CI 1.04-1.27, p=0.01). There was no difference between moderate-volume and high-volume hospital in unadjusted analysis (5.1% vs. 4.8%, OR 1.07; 95%CI 0.99-1.15, p=0.11) and on multivariable analysis (adjusted-OR 1.08; 95%CI 0.97-1.20, p=0.17). Conclusions: This nationwide analysis showed that low-volume hospitals are associated with higher in-hospital mortality after primary PCI compared with high-volume hospitals even in recent years. The current threshold set by national guidelines for primary PCI hospitals remains valid in contemporary practice.

Abstract Background: Incidentalomas, defined as incidental findings on imaging, are a growing concern. Our aim was to determine the impact and outcomes of extrahepatic incidentalomas on liver transplantation.Methods: Patients at a large liver transplant center, who had an initial MRI for hepatocellular carcinoma screening between January 2004 and March 2020 were identified. Clinical data were collected retrospectively. Survival analysis, utilizing Kaplan Meier estimates and Cox proportional hazards regression analysis, was utilized to determine factors associated with liver transplantation. Results: 720 patients were included. NASH (24.9%), HCV (22.1%) and alcohol (20.6%) were the most common causes of cirrhosis. 79.7% of patients had an extrahepatic incidentaloma. Older age and having received a liver transplant by the end of the study were associated with an incidentaloma. MELD was not associated with the presence of an incidentaloma. On univariate Cox proportional hazards regression, male gender, history of moderate alcohol use, smoking history, MELD, and incidentalomas were predictors of liver transplantation. On multivariate analysis, only MELD and the presence of an incidentaloma were found to be significant. Discovery of an incidentaloma was associated with a 30% increase in the risk of liver transplantation. Median time to transplantation did not differ based on the presence on an incidentaloma. Patients with cirrhosis from alcohol or HCV had a significantly shorter median time to transplantation than those with NASH. Renal and pancreatic lesions comprised 91% of all incidentalomas.Conclusions: In this single-center retrospective study, extrahepatic incidentalomas were common in patients with cirrhosis. The finding of an incidentaloma was associated with a higher risk of liver transplantation despite a similar median time to transplantation if no incidentaloma was discovered.

AbstractBackgroundThere is a paucity of data regarding the sex‐related differences in the trends and outcomes of trans‐septal transcatheter mitral valve replacement (TS‐TMVR).MethodsThe Nationwide Readmissions Database (2015–2018) was queried for admissions for TS‐TMVR. Propensity matched analysis was conducted to compare outcomes with hospitalizations for TS‐TMVR among women versus men. The main study outcome was in‐hospital mortality.ResultsOur final analysis included 2063 hospitalizations for TS‐TMVR; of whom, 58.1% were women. The proportion of women among those undergoing TS‐TMVR increased from 50% in 2015 to 60.2% in 2018 (Ptrend = 0.04). Compared with men, women undergoing TS‐TMVR were slightly younger, and had a distinct profile of comorbidities. After matching, there was no significant difference in in‐hospital mortality among women versus men undergoing TS‐TMVR (7.8% vs. 6.1%, OR = 1.30; 95% CI: 0.79–2.13). Subgroup analyzes showed an interaction toward higher mortality with women versus men among patients with CKD (Pinteraction = 0.07). There were no significant differences between women and men in in‐hospital complications or length of stay after TS‐TMVR. Compared with men, women undergoing TS‐TMVR were more likely to be discharged to a nursing facility (17.7% vs. 11.5%, p = 0.01) and had higher rates of 30‐day readmissions (22.4% vs. 13.6%, p = 0.01).ConclusionThis nationwide analysis showed an increase in the proportion of women among patients undergoing TS‐TMVR during the study years. There were no differences in in‐hospital mortality, in‐hospital complications, or length of stay between both sexes following TS‐TMVR. Women were more likely to be discharged to nursing facilities and had higher rates of readmission at 30 days even after propensity matching.