Underutilization of Drug-Eluting Stents in Infrapopliteal Intervention for Chronic Limb-Threatening Ischemia.

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.

One-year outcomes of catheter ablation for atrial fibrillation in young patients.

BACKGROUND: Atrial fibrillation (AF) is relatively less frequent in younger patients (age < 50). Recently, studies have suggested that early restoration of sinus rhythm may lead to improved outcomes compared with rate control, however the efficacy of catheter ablation for AF in young is scarce. METHODS: We included all hospitalized patients between 18 and 50 years with a diagnosis of AF from the Nationwide Readmission Database 2016-2017 from the Healthcare Cost and Utilization Project. Demographic and comorbidity data were collected and analyzed. Outcomes assessed included one-year AF readmission rates, all-cause readmission, ischemic stroke, and all-cause mortality. Subgroup analyses were performed for all demographic and comorbidity variables. RESULTS: Overall, 52,598 patients (medium age 44, interquartile range 38-48, female 25.7%) were included in the study, including 2,146 (4.0%) who underwent catheter ablation for AF. Patients who underwent catheter ablation had a significantly lower rate of readmission for AF or any cause at one year (adjusted hazard ratios (HR) of 0.52 [95% confidence interval (CI): 0.43-0.63] and HR of 0.81 [95% CI: 0.72-0.89], respectively). There was no difference in 1-year readmission for stroke or all-cause mortality between the two groups. Subgroup analyses showed a consistent reduction in the risk of AF readmission among major demographic and comorbidity subgroups. CONCLUSION: Catheter ablation in young patients with AF was associated with a reduction in 1-year AF related and all-cause readmissions. These data merit further prospective investigation for validation, through dedicated registries and multicenter collaborations to include young AF from diverse population.

Clinical Outcome of TAVR vs. SAVR in Patients With Cardiac Amyloidosis.

Data regarding the clinical outcomes of transcatheter aortic valve replacement (TAVR) vs. surgical aortic valve replacement (SAVR) in cardiac amyloidosis are lacking. Our study aimed to look at the clinical outcomes of TAVR vs. SAVR in patients with cardiac amyloidosis. METHOD: We queried the National Inpatient Sample database for the years 2009-2014 using validated ICD-9-CM codes for TAVR and SAVR. Propensity score matching (1:1; PSM) was performed and in-hospital outcomes were compared between matched cohorts. RESULTS: Before PSM, the TAVR group had a higher hospitalization cost ($59,192 vs. $56,171.1, p = 0.001) and in-hospital mortality (4.24% vs. 3.27%, p = 0.001) compared to the SAVR group. After PSM, mortality (41.3% vs. 5.81%, p = 0.001) and hospitalization cost ($5907 vs. $6280, p = 0.001) was higher in the SAVR group. Length of stay was shorter in the TAVR group compared to SAVR group before (8.7 vs 11.4 p = 0.001) and after (8.7 vs 0.13.7, p = 0.001) PSM. After PSM, the incidence of acute myocardial infarction (10.10% vs. 17.57%, p = 0.001), acute kidney injury (20.67% vs. 31.40%, p = 0.001) and major bleeding (39.18% vs. 47.90%, p = 0.001) were higher in the SAVR group while the TAVR group had a higher incidence of the stroke (12.47% vs. 11.97%, p = 0.001), vascular complication (14.59% vs. 12.97%, p = 0.001), and permanent pacemaker implantation (10.45% vs. 8.48%, p = 0.001). CONCLUSION: In CA patients, in-hospital mortality and hospitalization costs were higher in the SAVR group than in the TAVR group, while the length of stay was shorter in the TAVR group.

Clinical In-Hospital Outcomes of Acute Myocardial Infarction in Patients With Hematological Malignancies.

Introduction The purpose of our study is to determine in-hospital outcomes of acute myocardial infarction in patients with hematological malignancies and their subtypes. Method Patient data were obtained from the nationwide inpatient sample (NIS) database between the years 2009-2014. Patients with hematological cancer subtypes and acute MI (non-ST segment elevation myocardial infarction and ST-segment elevation myocardial infarction (NSTEMI/STEMI) were identified using validated international classification of diseases (ninth revision) and clinical modification (ICD-9-CM) codes. Statistical analysis using the chi-square test was performed to determine the hospital outcomes of acute MI in patients with hematological cancers and subtypes. Results The prevalence of acute myocardial infarction was 2.4% in patients with hematological neoplasms (N=3,027,800). Amongst the subtypes of blood cancers, the highest prevalence of acute MI was seen in lymphocytic leukemia (2.9%). The mortality of MI in patients with hematological malignancies was 16.8% vs 8.8% in patients with non-hematological malignancies, in-hospital costs were $25469 ± 36763 vs. $20534 ± 24767, and length of in-hospital stay was 8.3 ± 10 vs 6.3 ± 7.8 days. Amongst the hematological cancer subtypes, the highest mortality of acute MI was found in myeloid leukemia (23%) followed by multiple myeloma (MM) (17.9%), lymphocytic leukemia (15.9%), and lymphoma (14.4%). The length of stay and hospitalization cost was highest for myeloid leukemia, followed by MM, lymphocytic leukemia, and lymphoma. Conclusion This study showed that acute MI in patients with hematological malignancies has higher in-hospital mortality, length of stay, and cost. Amongst the blood neoplasm subtypes the highest mortality, length of hospital stay, and hospitalization cost were found in myeloid leukemia.

Obesity in Inflammatory Bowel Disease Is Associated with Early Readmissions Characterised by an Increased Systems and Patient-level Burden.

BACKGROUND AND AIMS: Rates of obesity are rising in patients with inflammatory bowel disease [IBD]. We conducted a US population-based study to determine the effects of obesity on outcomes in hospitalised patients with IBD. METHODS: We searched the Nationwide Readmissions Database 2016-2017 to identify all adult patients hospitalised for IBD, using ICD-10 codes. We compared obese (body mass index [BMI] ≥ 30) vs non-obese [BMI < 30] patients with IBD to evaluate the independent effects of obesity on readmission, mortality, and other hospital outcomes. Multivariate regression and propensity matching were performed. RESULTS: We identified 143 190 patients with IBD, of whom 9.1% were obese. Obesity was independently associated with higher all-cause readmission at 30 days {18% vs 13% (adjusted odds ratio [aOR] 1.16, p = 0.005)} and 90 days (29% vs 21% [aOR 1.27, p < 0.0001]), as compared with non-obese patients, with similar findings upon a propensity-matched sensitivity analysis. Obese and non-obese patients had similar risks of mortality on index admission [0.24% vs 0.31%, p = 0.18] and readmission [1.5% vs 1.8% p = 0.3]. Obese patients had longer [5.3 vs 4.9 days] and more expensive [USD12,195 vs USD11,154] hospitalisations on index admission. Obesity did not affect the risk of intestinal surgery or bowel obstruction. Compared with index admissions, readmissions were characterised by increased mortality [6-fold], health care use, and bowel obstruction [3-fold] [all p < 0.0001]. CONCLUSIONS: Obesity in IBD appears to be associated with increased early readmission, characterised by a higher burden, despite the introduction of weight-based therapeutics. Prevention of obesity should be a focus in the treatment of IBD to decrease readmission and health care burden.

Comparison of procedural outcomes in patients undergoing catheter vs surgical ablation for atrial fibrillation and heart failure with reduced ejection fraction.

BACKGROUND: There is a lack of research comparing procedural outcomes of surgical ablation (SA) and catheter ablation (CA) among patients with heart failure with reduced ejection fraction (HFrEF) and atrial fibrillation (AF). The main objective was to compare the short-term procedural outcomes of SA and CA in patients with HFrEF. METHODS: We used the national inpatient sample to identify hospitalizations over 18 years with HFrEF hospitalization and AF, and undergoing SA and CA from 2016 to 2017. Furthermore, the clinical outcomes of SA vs CA in AF stratified as nonparoxysmal and paroxysmal were analyzed. RESULTS: A total of 1,770 HFrEF hospitalizations with AF who underwent SA and 1,620 HFrEF hospitalizations with AF who underwent CA were included in the analysis. Hospitalizations with CA had higher baseline comorbidities. The in-hospital mortality among HFrEF with AF undergoing SA as compared with CA was similar (2.8% vs 1.9%, respectively, adjusted P-value 0.09). Hospitalizations with SA had a significantly longer length of hospital stay, a higher percentage of postprocedural, and cardiac complications. In HFrEF hospitalizations with nonparoxysmal AF, SA as compared with CA was associated with a higher percentage of in-hospital mortality (2.4% vs 1%, adjusted P-value <.05), a longer length of stay, a higher cost of treatment, and a higher percentage of cardiac complications. CONCLUSION: CA is associated with lower in-hospital adverse procedural outcomes as compared with SA among HFrEF hospitalizations with AF. Further research with freedom from AF as one of the outcome is needed between two groups for HFrEF.

Impact of Arrhythmias on Hospitalizations in Patients With Cardiac Amyloidosis.

Cardiac involvement in amyloidosis is associated with a poor prognosis. Data on the burden of arrhythmias in patients with cardiac amyloidosis (CA) during hospitalization are lacking. We identified the burden of arrhythmias using the National Inpatient Sample (NIS) database from January 2016 to December 2017. We compared patient characteristics, outcomes, and hospitalization costs between CA patients with and without documented arrhythmias. Out of 5,585 hospital admissions for CA, 2,020 (36.1%) had concurrent arrhythmias. Propensity-score matching for age, sex, income, and co-morbidities was performed with 1,405 CA patients with arrhythmias and 1,405 patients without. The primary outcome of all-cause mortality was significantly higher in CA patients with arrhythmia than without(13.9% vs 5.3%, p-value <0.001). Atrial fibrillation (AF) was the most common (72.2%) arrhythmia in CA patients with concurrent arrhythmia. The secondary outcomes of AF-related mortality (11.95% vs 9.16%, p-value = 0.02) and acute and acute on chronic as heart failure (HF) exacerbation (32.38% vs 24.91%, p-value <0.0001) were significantly higher in CA and concurrent arrhythmia compared with CA patients without. The total length of hospital stay (6[3 to 12] vs 5[3 to 10], p-value <0.001) and cost of hospitalization were ($ 15,086[7,813 to 30,373] vs $ 12,219[6,865 to 23,997], p-value = 0.001) were significantly greater among CA with arrhythmia compared with those without. These data suggest that the presence of arrhythmias in CA patients during hospital admission is associated with a poorer prognosis and may reflect patients with a higher risk of HF exacerbation and mortality.

Burden of atrial fibrillation in patients with rheumatic diseases.

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.

Association of atrial fibrillation and various cancer subtypes.

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.

Association between atrial fibrillation and bundle branch block.

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.

Clinical outcomes of atrial fibrillation with hyperthyroidism.

BACKGROUND: Atrial fibrillation (Afib) is a common cardiac manifestation of hyperthyroidism. The data regarding outcomes of Afib with and without hyperthyroidism are lacking. HYPOTHESIS: We hypothesized that patients with Afib and hyperthyroidism have better clinical outcomes, compared with Afib patients without hyperthyroidism. METHODS: We queried the National Inpatient Sample database for years 2015-2017 using Validated ICD-10-CM codes for Afib and hyperthyroidism. Patients were separated into two groups, Afib with hyperthyroidism and without hyperthyroidism. RESULTS: The study was conducted with 68 095 278 patients. A total of 9 727 295 Afib patients were identified, 90 635 (0.9%) had hyperthyroidism. The prevalence of hyperthyroidism was higher in patients with Afib (0.9% vs 0.4%, P < .001), compared with patients without Afib. Using multivariate regression analysis adjusting for various confounding factors, the odds ratio of Afib with hyperthyroidism was 2.08 (CI 2.07-2.10; P < .0001). Afib patients with hyperthyroidism were younger (71 vs 75 years, P < .0001) and more likely to be female (64% vs 47%; P < .0001) as compared with Afib patients without hyperthyroidism. Afib patients with hyperthyroidism had lower prevalence of CAD (36% vs 44%, P < .0001), cardiomyopathy (24.1% vs 25.9%, P < .0001), valvular disease (6.9% vs 7.4%, P < .0001), hypertension (60.7% vs 64.4%, P < .0001), diabetes mellitus (29% vs 32%, P < .0001) and obstructive sleep apnea (10.5% vs 12.2%, P < .0001). Afib with hyperthyroidism had lower hospitalization cost ($14 968 ± 21 871 vs $15 955 ± 22 233, P < .0001), shorter mean length of stay (5.7 ± 6.6 vs 5.9 ± 6.6 days, P < .0001) and lower in-hospital mortality (3.3% vs 4.8%, P < .0001. The disposition to home was higher in Afib with hyperthyroidism patients (51% vs 42; P < .0001). CONCLUSION: Hyperthyroidism is associated with Afib in both univariate and multivariate analysis. Afib patients with hyperthyroidism have better clinical outcomes, compared with Afib patients without hyperthyroidism.