Analysis of Risk Factors and Consequences of Consecutive Proximal Femur Fractures in Elderly Patients

Abstract

BackgroundProximal femur fracture (PFF) carries significant morbidity, mortality, and cost implications to the health system. Subsequent contralateral fracture further decreases patient performance and increases the healthcare burden. This study aimed to identify and evaluate potential risk factors for consecutive PFF. MethodologyPilgrim Hospital PFF database from 2012 to 2019 was retrospectively analyzed. Patients over 60 years with low-energy fractures were included. Pathological and atypical fractures and polytrauma were excluded. ResultsThere were 114 patients (4.18%) with contralateral hip fractures out of a total of 2727 PFF patients; 80% were females. The mean age was 82 years for the first hip fracture and 85 years for the second. The average time interval between fractures was 36 months. The fracture pattern was the same on both sides in 74.3% of patients (P<0.0001). Out of 53 patients with cemented hip hemiarthroplasty (CHH) on one side, 31 patients (59%) had a second CHH for the contralateral side. Likewise, out of 48 patients who had dynamic hip screw fixation during the first admission, 33 patients (69%) had the same procedure on the contralateral side too.During the two consecutive admissions, the length of hospital stay was not significantly different (P=0.30), median American Society of Anesthesiologists (ASA) grades were 3, hyponatremia increased from 25% to 29% (P=0.5), mean decline in abbreviated mental test score (AMTS) was 0.4, deterioration of Clinical Frailty Score and Charlson morbidity index were from 4.5 to 5.9 (P<0.0001), and from 5.4 to 6.1, respectively, and institutional residency was increased from 23 to 46 (P>0.0014). ConclusionThe similarity of fracture pattern bilaterally requiring similar surgical procedures is comparable with other literature. Even though there is minimal or no change in the ASA, AMTS, and hospital stay between the two admissions, there is a significant decline in clinical frailty, mobility status, and an increase in residential dependency following a subsequent fracture. Our findings demonstrate the importance of emphasizing secondary preventive measures to prevent a consecutive fracture.

Development and validation of predictive nomogram for postoperative non-union of closed femoral shaft fracture

“…Clinical prediction model, a multi-factorial model used to predict the probability that an individual will experience a disease or future outcome 7,8 , is of great value for accurate disease prevention and control and may be presented as a nomogram. Some scholars have examined the factors that influence postoperative non-union of femoral fractures 9,10 and have constructed postoperative models 11,12 . However, these studies have a narrow population age range or include fewer factors, and predictive nomograms related to postoperative non-union of closed femoral shaft fractures are lacking.…”