Laparoscopic sleeve gastrectomy in obese patients with ventricular assist devices: a data note.
Adrian daSilva-deAbreuKiran GarikapatiBader Aldeen AlhafezSapna DesaiClement EiswirthSelim KrimHamang PatelCarl J LavieHector O VenturaJuan Francisco Loro-FerrerStacy A MandrasPublished in: BMC research notes (2020)
This dataset contains detailed baseline, perioperative, and long-term data of patients with VADs undergoing LSG. These variables were collected retrospectively from electronic medical records. Patients who achieved ≥ 50% excess BMI loss, BMI ≤ 35 kg/m2, listing for HT, HT, or myocardial recovery were identified and the timing to each of these milestones was documented. These data can be used alone or in combination with other datasets to achieve a larger sample size with more power for further analysis of these variables, which include the most important, standard, and objective bariatric and ESHF outcomes of patients with VADs undergoing LSG. Elaboration of composite outcomes is feasible.
Keyphrases
- obese patients
- electronic health record
- bariatric surgery
- big data
- roux en y gastric bypass
- body mass index
- gastric bypass
- left ventricular
- heart failure
- weight loss
- type diabetes
- cardiac surgery
- weight gain
- machine learning
- metabolic syndrome
- atrial fibrillation
- artificial intelligence
- data analysis
- acute kidney injury
- glycemic control