Obesity Surgery Mortality Risk Score as a Predictor for Intensive Care Unit Admission in Patients Undergoing Laparoscopic Bariatric Surgery.
Paola AcetoRoberto De CiccoClaudia CalabreseIrene MaruscoFilippo Del TedescoErsilia LucaCristina ModestiTeresa SaccoLiliana SollazziLuigi CiccorittiFrancesco GrecoPiero GiustacchiniFrancesco PennestrĂPierpaolo GallucciMarco RaffaeliPublished in: Journal of clinical medicine (2024)
Background: Laparoscopic bariatric surgery provides many benefits including lower postoperative pain scores, reduced opioid consumption, shorter hospital stays, and improved quality of recovery. However, the anaesthetic management of obese patients requires caution in determining postoperative risk and in planning adequate postoperative pathways. Currently, there are no specific indications for intensive care unit (ICU) admission in this surgical population and most decisions are made on a case-by-case basis. The aim of this study is to investigate whether Obesity Surgery Mortality Risk Score (OS-MRS) is able to predict ICU admission in patients undergoing laparoscopic bariatric surgery (LBS). Methods : We retrospectively reviewed data of patients who underwent LBS during a 2-year period (2017-2019). The collected data included demographics, comorbidities and surgery-related variables. Postoperative ICU admission was decided via bariatric anaesthesiologists' evaluations, based on the high risk of postoperative cardiac or respiratory complications. Anaesthesia protocol was standardized. Logistic regression was used for statistical analysis. Results: ICU admission was required in 2% ( n = 15) of the 763 patients. The intermediate risk group of the OS-MRS was detected in 84% of patients, while the American Society of Anaesthesiologists class III was reported in 80% of patients. A greater OS-MRS ( p = 0.01), advanced age ( p = 0.04), male gender ( p = 0.001), longer duration of surgery ( p = 0.0001), increased number of patient comorbidities ( p = 0.002), and previous abdominal surgeries ( p = 0.003) were predictive factors for ICU admission. Conclusions: ICU admission in obese patients undergoing LBS is predicted by OS-MRS together with age, male gender, number of comorbidities, previous abdominal surgeries, and duration of surgery.
Keyphrases
- intensive care unit
- patients undergoing
- bariatric surgery
- end stage renal disease
- weight loss
- obese patients
- emergency department
- minimally invasive
- ejection fraction
- chronic kidney disease
- newly diagnosed
- type diabetes
- coronary artery bypass
- metabolic syndrome
- insulin resistance
- robot assisted
- coronary artery disease
- chronic pain
- body mass index
- mental health
- electronic health record
- machine learning
- heart failure
- gastric bypass
- physical activity
- deep learning
- atrial fibrillation
- drug induced
- pain management
- adverse drug
- percutaneous coronary intervention