The prevalence of other comorbidities such as hypertension, diabetes mellitus, hypothyroidism, myocarditis, obstructive sleep apnea (OSA), congestive heart failure (CHF), cardiomyopathy, coronary artery disease, renal failure, and collagen vascular disease were also significantly higher in the BBB group (Table 2). The prevalence of Afib was significantly higher in the BBB group (29% vs. The hospitalizations in BBB group were more likely to be Caucasian (72.9% vs. Hospitalizations with bundle branch block were older with a mean age of 73.5 ± 13.5 years, and more likely to be male (53.6% vs. A comparison of baseline patient‐level characteristics between the two groups of BBB and no BBB is shown in Table 2. Hospitalizations were divided into two groups-hospitalizations with and without the presence of BBB based on ICD‐9 codes 3 116 204 hospitalizations had a diagnosis of BBB (1.5% of total sample size) and 204 438 167 (98.5%) did not have BBB (Figure S1). After excluding <18 years, we obtained a sample size of 207 421 616 admissions for our study. NIS database included a sample of 246 379 065 hospital admissions between the years 2009‐2015. Secondary outcomes were to compare the mean hospitalization cost, in‐hospital mortality, and length of stay between Afib patients with and without BBB. The primary outcome of our study was to determine the association between Afib and BBB. Baseline characteristics including age, gender, race, body mass index (BMI), socioeconomic status, type of insurance, comorbidities, geographic distribution, and hospital‐level characteristics (teaching status, outcomes, and disposition were obtained Table 2). Exclusion criteria included patients less than 18 years.

All ICD codes included in the study for Bundle Branch Blocks and Afib are listed in Table 1. Afib and BBB cases were identified using International Classification of Disease, Nine Edition, Clinical Modification (ICD‐9‐CM) codes. Therefore, IRB approval was not required. NIS provides de‐identified data that protect the confidentiality of the patients. Its utilization has been described in further detail in previous studies. It excludes data from long‐term acute care facilities and rehabilitation centers. NIS comprises data from 48 states and represents more than 97% of the United States population, with an average of 7‐8 million discharges yearly. NIS is a part of the Healthcare Cost and Utilization Project (HCUP) developed by the Agency for Healthcare Research and Quality. Data included in this study were obtained between 20. The study was conducted using the National Inpatient Sample (NIS) database, the largest inpatient database in the United States.

Ivcd vs lbbb