Glycemic control to improve post-operative outcomes in patients with type 2 diabetes mellitus: Results of the SUGAR (Surgical Universal euGlycemic Attainment during Recovery) initiative.

Objective: Hyperglycemia, or glucose values >180 mg/dL, is associated with adverse post-operative outcomes. Our objective was to determine the impact of improving peri-operative glycemic control and evaluate infectious complications among patients with type 2 diabetes mellitus undergoing open gynecologic surgery.

Methods: A multidisciplinary team standardized pre-operative screening, referral algorithms, and intra-operative and post-operative hyperglycemia management (Surgical Universal euGlycemic Attainment during Recovery initiative).

Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model.

Background: Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered using normothermic regional perfusion (NRP). Consequently, we explored the role of different machine learning-based classifiers as predictive models for graft survival.

Are pectoralis minor length and posterior shoulder tightness associated with patient-reported shoulder pain and disability?

Background: Pectoralis minor (PM) shortening and posterior shoulder tightness (PST) are considered potential soft tissue alterations associated with rotator cuff related shoulder pain (RCRSP). Yet, their precise contribution to pain and disability remains unclear.

Purpose: To explore the association between both PM length and PST and self-reported shoulder pain and disability in individuals with and without RCRSP.