Influencing factors on morbidity and mortality in intertrochanteric fractures

Abstract

We aimed to evaluate the effect of the patient's clinical and paraclinical condition before and after surgery on short-term mortality and complication and long-term mortality. A retrospective cohort study was conducted and multivariate logistic regression was applied to determine the effect of demographic characteristics (sex, age, AO/OTA classification, height, weight, body mass index), medical history (hypertension, ischemic heart disease, diabetes mellitus, thyroid malfunction, cancer, osteoporosis, smoking) lab data (Complete blood cell, blood sugar, Blood Urea Nitrogen, Creatinine, Na, and K), surgery-related factors (Anesthesia time and type, implant, intraoperative blood transfusion, postoperative blood transfusion, and operation time), duration of admission to surgery and anticoagulant consumption on short-term mortality and complication and long-term mortality. Three hundred ten patients from November 2016 to September 2020 were diagnosed with an intertrochanteric fracture. 3.23% of patients died in hospital, 14.1% of patients confronted in-hospital complications, and 38.3% died after discharge till the study endpoint. ΔNumber of Neutrophiles is the primary determinant for in-hospital mortality in multivariate analysis. Age and blood transfusion are the main determinants of long-term mortality, and Na before surgery is the primary variable associated with postoperative complications. Among different analytical factors Na before surgery as a biomarker presenting dehydration was the main prognostic factor for in hospital complications. In hospital mortality was mainly because of infection and long-term mortality was associated with blood transfusion.

Figure 1

Receiver operating characteristics curves (ROC) for Age (A), BUN before surgery (B), and Cr before surgery (C) while those who die in hospital are considered the positive result of the test. ROC for age (D) Hemoglobin before surgery (E) while those who die in long term and those who remain alive are considered the positive result of the test respectively.

Figure 2

Death-free survival analysis. Total population (first) and stratified population (second).