This report describes a retrospective single-center case-control trial including active patients with femoral neck fractures treated with multiple cannulated screws. Ethical approval was obtained from the Institutional Review Board of Huizhou Municipal Central Hospital, and the study conformed to the tenets of the Declaration of Helsinki. We obtained the verbal consent of the patient or his directly-related family members.
Patients
Demographic and procedural data were collected from hospital charts or the database. Follow-up was achieved using a telephone questionnaire directly or at a visit to the outpatient clinic of the Department of Traumatology and Orthopedic Surgery, Huizhou Municipal Central Hospital. A total of 255 cases of femoral neck fractures were treated by internal fixation with cannulated screws between November 2005 and November 2019. The patient inclusion criteria were: (1) aged between 20 and 65 treated with multiple cannulated screws; (2) where there was no abnormality of lower limb function before the injury;(3) the patient systematically returned to the hospital for review, X-rays would be performed regularly at 1, 3, 6 and 12 months after operation. Patient exclusion criteria were: (1) those who had bone promoting materials or angiogenic materials used during the surgical procedure; (2) where the participating surgeons had performed fewer than 25 hip fracture fixation procedures during their career; (3) pathological fractures or skeletally immature patients; (4) fractures in patients with pre-existing significant hip arthritis or hip fractures; (5) where the patient had severe multiple injuries that affected their postsurgical functional training, such as severe head trauma, organ damage, or multiple injuries throughout the body; (6) where the follow-up time was less than 6 months; (7) the patient died or could not be contacted when follow-up was sought for the study. Of the 255 patients, 20 patients with less than 6 months follow-up, 28 patients could not be contacted and 17 patients died during follow-up were excluded. Data from the remaining 190 patients were analyzed (Figure 1).The follow-up rate was 74.51%.
Variables
The following clinical variables were examined after retrospectively extracting them from the patients’ medical records: body mass index (BMI), sex, smoking, injured side, diabetes, occupation (heavy manual worker or not), interval between the injury and surgery (less than 72 hours or over 72 hours), reduction quality (Garden Alignment Index), location of fracture line (subcapital fracture, transcervical fracture, substrate fracture), Garden Classification (I, II, III, IV), Pauwels Classification (I, II, III), age and follow-up time. Garden alignment index is a standard to judge the quality of fracture reduction. In this study, we selected and assessed the X-rays of the final follow-up as Garden Alignment index (Figure 2), which was documented by two co-first authors and disagreement was resolved by negotiation if necessary. We divided the Garden Alignment Index into two groups: Group PR (perfect reduction :Garden Alignment index Ⅰ) and Group IR (imperfect reduction: Garden Alignment index: Ⅱ, Ⅲ, Ⅳ). The endpoint of maintaining the femur head was defined as a reoperation program that aimed to improve hip function, such as hemiarthroplasty (HA), total hip arthroplasty (THA) and revision surgery. The survival time of femur head was defined as “the interval between the primary surgery and reoperation”.
Statistical analysis
Interaction between variables and reoperation before PSM analysis
The univariate analysis steps were as follows: the interaction between each measurement data and reoperation was analyzed with Kaplan-Meier (KM) survival analysis one by one; then, the interaction between each continuous variable and reoperation was analyzed with Cox proportional-hazards models one by one (Table 1). If the P value was less than 0.1, this group of variables would be included in the subsequent Cox analysis as a suspicious influencing variable of reoperation. A Cox proportional-hazards model was constructed to evaluate the hazard ratio for each event and reoperation.
Interaction between variables and reoperation before PSM analysis
PSM analysis was performed using a multivariable logistic regression model based on: sex, BMI, age, smoking, injured side, diabetes, occupation , interval between the injury and surgery, location of fracture line, Garden classification, Pauwels classification. Pairs of patients receiving perfect reduction (Group PR) and imperfect reduction (Group IR) were derived using 1:1 greedy nearest neighbor matching within one-quarter of the standard deviation of the estimated propensity. This strategy resulted in 39 matched pairs in each group (Table 1). Kaplan-Meier (KM) survival analysis (for the categorical variables) and Cox survival analysis (for the continuous variables)were employed to explore the interaction between each measurement data and reoperation one by one. If the P value was less than 0.1, this group of variables would be included in the subsequent Cox analysis as a suspicious influencing variable of reoperation and a Cox proportional-hazards model was constructed to evaluate the hazard ratio for each event and reoperation as the procedure mentioned in patients after PSM analysis (Table 2). Finally, KM survival analysis of reduction quality was performed as a subgroup analysis (Figure 3).
Results above were considered significant at P<0.05. Statistical analyses were carried out using SPSS V20 (IBM, Armonk, NY, USA) and GraphPad version 8.4.3(686) (GraphPad Software, LLC).