“…Logistic regression (LR) models were constructed with 30-day, 90-day, and 1-year postoperative mortality as the response variables [ 31 , 32 ]. The variables that were included as potential predictors were age, sex, ASA classification, type of surgery, type of fracture, out-of-hours surgery, time to surgery, ongoing beta-blocker therapy, CCI, RCRI, comorbidities including dementia, arrhythmia, hypertension, previous myocardial infarctions, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease (COPD), connective tissue diseases, diabetes mellitus, peptic ulcer disease, liver disease, hemiplegia, chronic kidney disease, local cancer, and metastatic carcinoma, as well as measurements of frailty [ 5 , 7 , 36 , 39 – 42 , 44 – 48 ]. Out-of-hours surgery was defined as surgery initiated between 17:00 and 8:00 [ 44 ].…”