Prediabetes: An overlooked risk factor for major adverse cardiac and cerebrovascular events in atrial fibrillation patients.

BACKGROUND: Prediabetes is a well-established risk factor for major adverse cardiac and cerebrovascular events (MACCE). However, the relationship between prediabetes and MACCE in atrial fibrillation (AF) patients has not been extensively studied. Therefore, this study aimed to establish a link between prediabetes and MACCE in AF patients. AIM: To investigate a link between prediabetes and MACCE in AF patients. METHODS: We used the National Inpatient Sample (2019) and relevant ICD-10 CM codes to identify hospitalizations with AF and categorized them into groups with and without prediabetes, excluding diabetics. The primary outcome was MACCE (all-cause inpatient mortality, cardiac arrest including ventricular fibrillation, and stroke) in AF-related hospitalizations. RESULTS: Of the 2965875 AF-related hospitalizations for MACCE, 47505 (1.6%) were among patients with prediabetes. The prediabetes cohort was relatively younger (median 75 vs 78 years), and often consisted of males (56.3% vs 51.4%), blacks (9.8% vs 7.9%), Hispanics (7.3% vs 4.3%), and Asians (4.7% vs 1.6%) than the non-prediabetic cohort (P < 0.001). The prediabetes group had significantly higher rates of hypertension, hyperlipidemia, smoking, obesity, drug abuse, prior myocardial infarction, peripheral vascular disease, and hyperthyroidism (all P < 0.05). The prediabetes cohort was often discharged routinely (51.1% vs 41.1%), but more frequently required home health care (23.6% vs 21.0%) and had higher costs. After adjusting for baseline characteristics or comorbidities, the prediabetes cohort with AF admissions showed a higher rate and significantly higher odds of MACCE compared to the non-prediabetic cohort [18.6% vs 14.7%, odds ratio (OR) 1.34, 95% confidence interval 1.26-1.42, P < 0.001]. On subgroup analyses, males had a stronger association (aOR 1.43) compared to females (aOR 1.22), whereas on the race-wise comparison, Hispanics (aOR 1.43) and Asians (aOR 1.36) had a stronger association with MACCE with prediabetes vs whites (aOR 1.33) and blacks (aOR 1.21). CONCLUSION: This population-based study found a significant association between prediabetes and MACCE in AF patients. Therefore, there is a need for further research to actively screen and manage prediabetes in AF to prevent MACCE.

Rising trends in the burden of cardiovascular comorbidities and major adverse cardiovascular events among young female smokers in two national cohorts studied ten years apart (2017 vs. 2007).

BACKGROUND: Ample evidence suggests that female smokers face a greater risk of smoking-related health problems than male smokers. Due to the growing number of young smokers in the United States, there has been limited information on the effects of smoking on young female smokers over the past decade. METHODS: Hospitalizations of young (18-44 years) female tobacco smokers were identified using the National Inpatient Sample datasets from 2007 and 2017. We compared differences in admission frequency, comorbidity burden, in-hospital outcomes [all-cause mortality and major adverse cardiac events (MACE)], and resource utilization between two young cohorts separated by 10 years. RESULTS: In 2007, there were 665,901 admissions among young female smokers (median age: 35), compared to 1,224,479 admissions (median age: 32) in 2017. In both cohorts, white female smokers accounted for most admissions, followed by blacks. In 2017, the prevalence of alcohol abuse, hyperlipidemia, uncomplicated diabetes, and chronic pulmonary disease decreased relative to the 2007 cohort, whereas the prevalence of deficiency and chronic blood loss anemias, diabetes with complications, drug abuse, hypertension, congestive heart failure, depression, liver disease, and obesity increased significantly (p<0.001). The 2017 cohort had significantly higher odds of all-cause mortality [aOR 1.25 (95%CI: 1.16-1.35)] and a higher risk of MACE [aOR 1.17 (95%CI:1.14-1.20)] upon multivariable adjustment. (p<0.001). Comparatively, the 2017 cohort had fewer routine discharges and higher home healthcare needs than the 2007 cohort. CONCLUSIONS: In this decade-apart analysis, the study reveals rising trends in the burden of comorbidities, MACE, and healthcare resource utilization in admissions (regardless of the primary cause) among relatively younger female smokers. It is crucial to educate young female smokers about the detrimental effects of tobacco and polysubstance abuse on cardiovascular outcomes.

Exercise Training and Revascularization in the Management of Symptomatic Peripheral Artery Disease.

Exercise therapy and lower extremity revascularization both improve walking performance in symptomatic patients with peripheral artery disease. The combination of therapies provides greater benefit than either alone and may reduce the need for subsequent revascularization procedures, but further trials with longer follow-up are needed for the outcome of subsequent revascularization.

Patients with bicuspid aortic valves may be associated with infra-hisian conduction disease requiring pacemakers.

BACKGROUND: Bicuspid aortic valves (BAVs) are associated with accelerated valvular dysfunction. Increasing rates of conduction system disease are seen in patients with calcific tricuspid aortic valves (TAVs). However, little is known regarding the extent of conduction disorders in BAV patients. We sought to determine the extent of infra-hisian conduction pathology among patients with BAVs undergoing EP studies. METHODS: We prospectively analyzed patients presenting to the EP laboratory from 2006 to 2017 at our institution. Thirty-three BAV patients had measured HV intervals. Each individual was matched by age and gender to two control patients. Clinical characteristics were collected and compared, and patients followed for outcomes. RESULTS: The BAV cohort had a mean age of 47.8 ± 17.2 years (range 19-76 years). Indications for referral to the EP lab in the BAV cohort included SVT ablation (n = 16), VT ablation (n = 10), and EP study for syncope, pre-syncope, or palpitations (n = 29). Patients with BAVs had a mean HV interval of 58.7 ms ± 18.6 ms, compared to a mean of 47.2 ms ± 9.6 ms for controls (p value = 0.0001). Over a 10-year follow-up period, 9 BAV patients (27%) went on to require permanent pacing compared to 6 patients (9%) in the control group (p value = 0.03). CONCLUSION: Compared to patients with TAVs presenting for EP evaluation, individuals with BAVs have longer HV intervals and a significantly increased requirement for pacemaker therapy over long-term follow-up. Closer monitoring of progressive conduction system disease in BAV patients may be warranted.

Assessment of foot perfusion: Overview of modalities, review of evidence, and identification of evidence gaps.

Patients with critical limb ischemia have nonhealing wounds and/or ischemic rest pain and are at high risk for amputation and mortality. Accurate evaluation of foot perfusion should help avoid unnecessary amputation, guide revascularization strategies, and offer efficient surveillance for patency. Our aim is to review current modalities of assessing foot perfusion in the context of the practical clinical management of patients with critical limb ischemia.

Multicenter Analysis of Dosing Protocols for Sotalol Initiation.

Sotalol, a Vaughan-Williams Class III antiarrhythmic medication, is used to manage atrial arrhythmias. Due to its QT-prolonging effect and subsequent increased risk of torsade de pointes, many centers admit patients during the initial dosing period. Despite its widespread use, little information is available regarding dosing protocols during this period. In this multicenter investigation, dosing protocols in patients initiating sotalol therapy were examined to identify predictors of successful sotalol initiation. Over a 4-year period, patients admitted to 5 hospitals in the United States for inpatient telemetry monitoring during initiation for nonresearch purposes were enrolled. A 3-day course of 5 of 6 doses of sotalol was considered successful completion of the loading protocol. Of the 213 enrolled patients, over 90% were successfully discharged on sotalol. Significant bradycardia, ineffectiveness, and excessive QT prolongation were reasons for failed completion. Absence of a dose adjustment was a strong predictor of successful initiation (odds ratio: 6.6, 95% confidence interval: 1.3-32.7, P = .02). Hypertension, use of a calcium channel blocker, use of a separate ß-blocker, and presence of a pacemaker were predictors of dose adjustments. Marginal structural models (ie, inverse probability weighting based on probability of a dose adjustment) verified that these factors also predicted successful initiation via preventing any dose adjustment and suggests that considering these factors may result in a higher likelihood of successful initiation in future investigations. In conclusion, we found that the majority of patients admitted for sotalol initiation are successfully discharged on the medication. The study findings suggest that factors predicting need for dose adjustment can be used to identify patients who could undergo outpatient initiation. Prospective studies are needed to verify this approach.

Applications of machine learning in decision analysis for dose management for dofetilide.

BACKGROUND: Initiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days of telemetry monitoring due to heightened risk of toxicity within this time period. Although a recommended dose management algorithm for dofetilide exists, there is a range of real-world approaches to dosing the medication. METHODS AND RESULTS: In this multicenter investigation, clinical data from the Antiarrhythmic Drug Genetic (AADGEN) study was examined for 354 patients undergoing dofetilide initiation. Univariate logistic regression identified a starting dofetilide dose of 500 mcg (OR 5.0, 95%CI 2.5-10.0, p<0.001) and sinus rhythm at the start of dofetilide loading (OR 2.8, 95%CI 1.8-4.2, p<0.001) as strong positive predictors of successful loading. Any dose-adjustment during loading (OR 0.19, 95%CI 0.12-0.31, p<0.001) and a history coronary artery disease (OR 0.33, 95%CI 0.19-0.59, p<0.001) were strong negative predictors of successful dofetilide loading. Based on the observation that any dose adjustment was a significant negative predictor of successful initiation, we applied multiple supervised approaches to attempt to predict the dose adjustment decision, but none of these approaches identified dose adjustments better than a probabilistic guess. Principal component analysis and cluster analysis identified 8 clusters as a reasonable data reduction method. These 8 clusters were then used to define patient states in a tabular reinforcement learning model trained on 80% of dosing decisions. Testing of this model on the remaining 20% of dosing decisions revealed good accuracy of the reinforcement learning model, with only 16/410 (3.9%) instances of disagreement. CONCLUSIONS: Dose adjustments are a strong determinant of whether patients are able to successfully initiate dofetilide. A reinforcement learning algorithm informed by unsupervised learning was able to predict dosing decisions with 96.1% accuracy. Future studies will apply this algorithm prospectively as a data-driven decision aid.

Timing and choice of intervention influences outcome in acute cholecystitis: a prospective study.

PURPOSE: Determine which management strategy is ideal for patients with acute cholecystitis. MATERIALS AND METHODS: Prospective enrollment between August 2009 and March 2011. Large academic center. Patients with acute cholecystitis. Laparoscopic cholecystectomy, intravenous antibiotics followed by laparoscopic cholecystectomy or percutaneous cholecystostomy. Primary endpoints were postoperative complications and 30-day mortality. RESULTS: A total of 162 patients were enrolled, 53 (33%) with simple acute cholecystitis and 109 (67%) with complex acute cholecystitis. Of the 109 patients with complex cholecystitis, 77 (70.6%) underwent successful laparoscopic cholecystectomy during the same hospital admission and 6 patients (5.5%) had an unsuccessful laparoscopic cholecystectomy requiring conversion to cholecystostomy. Radiology performed cholecystostomy in 19 (11.7%) patients with complex acute cholecystitis and 4 (2.5%) patients with simple acute cholecystitis for a total 23 patients of the 162 patients in the study. Nine of the 23 patients had dislodged tubes (39.1%). Two of the 23 patients (8.7%) had significant bile leaks resulting in either sepsis or emergency surgery. One patient (4.3%) had a wound infection. Overall, patients with complex acute cholecystitis had a higher morbidity rate (31.2%) compared with patients with simple acute cholecystitis (26.4%). CONCLUSIONS AND RELEVANCE: A high complication rate seen with radiology placed percutaneous cholecystostomy tubes prompted our center to reevaluate the treatment algorithm used to treat patients with complex acute cholecystitis. Although laparoscopic cholecystectomy is considered to be the gold standard in the treatment of acute cholecystitis, if laparoscopic cholecystectomy is not felt to be safe due to gallbladder wall thickening or symptoms of >72 hours' duration, we now encourage the use of intravenous antibiotics to "cool" patients down followed by interval laparoscopic cholecystectomy approximately 6 to 8 weeks later. Patients who do not respond to antibiotics should undergo attempted laparoscopic cholecystectomy and if unable to be performed safely, a laparoscopic cholecystostomy tube can be placed under direct visualization for decompression followed by interval laparoscopic cholecystectomy at a later date.