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Background Studies have shown that the incidence of atrial fibrillation (AF) in cancer is most likely due to the presence of inflammatory markers. The purpose of our study is to determine the association of AF with different cancer subtypes and its impact on in‐hospital outcomes. Methods Data were obtained from the National Inpatient Sample database between 2005 and 2015. Patients with various cancers and AF were studied. ICD‐9‐CM codes were utilized to verify variables. Patients were divided into three age groups: Group 1 (age < 65 years), Group 2 (age 65‐80 years), and Group 3 (age > 80 years). Statistical analysis was performed using Pearson chi‐square and binary logistic regression analysis to determine the association of individual cancers with AF. Results The prevalence of AF was 14.6% among total study patients (n = 46 030 380). After adjusting for confounding variables through multivariate regression analysis, AF showed significant association in Group 1 with lung cancer (odds ratio, OR = 1.92), multiple myeloma (OR = 1.59), non‐Hodgkin lymphoma (OR = 1.55), respiratory cancer (OR = 1.55), prostate cancer (OR = 1.20), leukemia (OR = 1.12), and Hodgkin's lymphoma (OR = 1.03). In Group 2, the association of AF with multiple myeloma (1.21), lung cancer (OR = 1.15), Hodgkin lymphoma (OR = 1.15), non‐Hodgkin lymphoma (OR = 1.12), respiratory cancer (OR = 1.08), prostate cancer (OR = 1.06), leukemia (OR = 1.14), and colon cancer (OR = 1.01) were significant. In Group 3, AF showed significant association with non‐Hodgkin lymphoma (OR = 1.06), prostate (OR = 1.03), leukemia (OR = 1.03), Hodgkin's lymphoma (OR = 1.02), multiple myeloma (OR = 1.01), colon cancer (OR = 1.01), and breast cancer (OR = 1.01). The highest mortality was found in lung cancer in age <80 and prostate cancer in age >80. Conclusion In patients age <80 years, AF has significant association with lung cancer and multiple myeloma, whereas in patients age >80 years, it has significant association with non‐Hodgkin lymphoma and prostate cancer. In patients age <80 years, increased mortality was seen in AF with lung cancer and in patients age >80 years, increased mortality was seen in those with AF and prostate cancer. Twitter Abstract In age <80, lung cancer and multiple myeloma have a strong association with AF while thyroid and pancreatic cancers have no association with AF at any age. In age greater than 80, NHL and prostate cancer have a significant association with AF.

BACKGROUND Studies have suggested that atrial fibrillation (AF) in patients with rheumatic diseases (RD) may be due to inflammation. AIM To determine the highest association of AF among hospitalized RD patients and to determine morbidity and mortality associated with AF in hospitalized patients with RD. METHODS The National inpatient sample database from October 2015 to December 2017 was analyzed to identify hospitalized patients with RD with and without AF. A subgroup analysis was performed comparing outcomes of AF among different RD. RESULTS The prevalence of AF was 23.9% among all patients with RD ( n = 3949203). Among the RD subgroup, the prevalence of AF was highest in polymyalgia rheumatica (33.2%), gout (30.2%), and pseudogout (27.1%). After adjusting for comorbidities, the odds of having AF were increased with gout (1.25), vasculitis (1.19), polymyalgia rheumatica (1.15), dermatopolymyositis (1.14), psoriatic arthropathy (1.12), lupus (1.09), rheumatoid arthritis (1.05) and pseudogout (1.04). In contrast, enteropathic arthropathy (0.44), scleroderma (0.96), ankylosing spondylitis (0.96), and Sjorgen’s syndrome (0.94) had a decreased association of AF. The mortality, length of stay, and hospitalization costs were higher in patients with RD having AF vs without AF. Among the RD subgroup, the highest mortality was found with scleroderma (4.8%), followed by vasculitis (4%) and dermatopolymyositis (3.5%). CONCLUSION A highest association of AF was found with gout followed by vasculitis, and polymyalgia rheumatica when compared to other RD. Mortality was two-fold higher in patients with RD with AF.

Purpose: Multiple randomized clinical trials have shown superiority of drug-eluting stents (DES) over bare-metal stents (BMS) for infrapopliteal disease. However, real-world data on DES utilization and outcomes in infrapopliteal chronic limb-threatening ischemia (CLTI) patients are unknown. Materials and Methods: We utilized the Nationwide Readmission Database (NRD) from 2016 to 2017 to extract patients undergoing infrapopliteal intervention with stents (BMS and DES) for CLTI using appropriate ICD-10 codes. Multilevel logistic regression with hospital ID as random effect was used to assess DES utilization. Primary outcome was the composite of target limb major amputation (TLmajA) and target limb revascularization (TLR). Multivariate Cox-proportional hazard regression was used to adjust for confounders. Results: Our study included a total of 1817 patients. Of these patients, 1056 patients (58.1%) received DES; DES utilization was stable (relative change: +2.5%, p-trend: 0.867) between 2016 and 2017 and was higher in teaching hospitals (adjusted odds ratio [aOR] = 1.28, 95% CI = 1.03–1.61, p=0.029] and medium (aOR = 3.13, 95% CI = 2.17–4.55, p≤0.001) and large (aOR = 1.56, 95% CI = 1.14–2.17, p=0.005) bed–sized hospitals. Inter-class correlation was 0.44 suggesting ~44% variation in DES utilization between any 2 random hospitals; DES was associated with lower rate of the primary composite outcome (aHR = 0.75, 95% CI = 0.62–0.92, p=0.004) compared with BMS. Conclusion: In patients undergoing infrapopliteal intervention for CLTI, DES demonstrated significant underutilization despite supportive evidence of their superiority compared with BMS; DES was associated with improvement in the primary composite outcome compared with BMS.

Background The association between atrial fibrillation (Afib) and sinus and AV nodal dysfunction has previously been reported. However, no data are available regarding the association between Afib and bundle branch block (BBB). Methods Patient data were obtained from the Nationwide Inpatient Sample (NIS) database between years 2009 and 2015. Patients with a diagnosis of Afib and BBB were identified using validated International Classification of Diseases, 9th revision, and Clinical Modification (ICD‐9‐CM) codes. Statistical analysis using the chi‐square test and multivariate linear regression analysis were performed to determine the association between Afib and BBB. Results The total number of patients with BBB was 3,116,204 (1.5%). Patients with BBB had a mean age of 73.5 ± 13.5 years, 53.6% were males, 39.1% belonged to the age group ≥80 years, and 72.9% were Caucasians. The prevalence of Afib was higher in the BBB group, as compared to the non‐BBB group (29% vs 11.8%, p value<.001). This association remained significant in multivariate regression analysis with an odds ratio of 1.25 (CI: 1.24‐1.25, P < .001). Among the subtypes of BBB, Afib was comparatively more associated with RBBB (1.32, CI 1.31‐1.33, p value<.0001) than LBBB (1.17, CI 1.16‐1.18, p value<.0001). The mean cost was higher among Afib with BBB, compared with Afib patients without BBB ($15 795 vs $14 391, p value<.0001). There was no significant difference in the mean length of stay (5.6 vs 5.9 days, p value<.0001) or inpatient mortality (4.9% vs 4.8%). Conclusion This study demonstrates that prevalence of Afib is higher in patients with BBB than without BBB. Cost are higher for Afib patients with BBB, compared to those without BBB, with no significant increase in mortality or length of stay.