Analysis of factors among 30-day and 1-year mortality rates in patients with borderline stable-unstable intertrochanteric hip fracture

Cemented bipolar hemiarthroplasty for unstable intertrochanteric fracture in elderly patients over 70 years: Boon or bane?

INTRODUCTION

The surgical management of intertrochanter femur fracture in elderly patient is still under debate. Various implants can be utilised but prosthetic replacement is gaining popularity. This study was performed to evaluate the functional and clinical outcomes of cemented bipolar arthroplasty as a primary treatment for unstable intertrochanteric fracture in elderly patients (> 70 years).

MATERIALS AND METHODS

Thirty-seven patients with unstable intertrochanteric fracture in elderly patient (> 70 years) who underwent cemented bipolar hemiarthroplasty. Intra-operative and post-operative complications were noted; functional outcomes were assessed using Harris hip score (HHS). All patients were followed up for a minimum of 12 months.

RESULTS

Overall 90% of patients has some minor or major intra or post-operative complication. One year mortality rate was 16% (6/37). Cardiopulmonary events were the most common life threatening incident. Mean fall in Haemoglobin was 1.6 gm/dL. The average time for full weight bearing mobilisation with the help of walker was 2.8 ± 1.2 days (1-8 days). The average duration of surgery was 58 ± 6 min (44-96 min) with an average blood loss of 126 ± 24 mL (90-380 mL). HHS at the end of 12 months was 77.

CONCLUSIONS

The use of bipolar hemiarthroplasty in senile patient with unstable hemiarthroplasty gives an advantage of early weight bearing. However, it is associated with risk of significant intra or post-operative morbidity due to intra-operative trauma, surgical time and blood loss during the surgery. Although hemiarthroplasty can be a single-time solution to the complexities of intertrochanter fracture in elderly patients but should be performed in selected patients only.

Feasibility of diagnosing osteoporosis using routine computed tomography scans for hip fractures: Correlation with histopathological diagnosis of head and neck regions

OBJECTIVE

The aim of this study was to demonstrate the feasibility of diagnosing osteoporosis through routine computed tomography (CT) by assessing the association between the histopathological assessment of femoral head specimens extracted from patients who underwent surgery for intertrochanteric fractures and the Hounsfield unit (HU) measurements derived from preoperative CT scans.

METHODS

Forty-eight patients who presented to our clinic between November 2019 and May 2020 with hip fractures and underwent partial prosthesis fixation were included in this retrospective study. Hounsfield unit measurements were performed on the head and neck regions using dual-energy x-ray absorptiometry (DEXA) and CT scans, respectively. The trabecular ratio per unit area was calculated using the Nikon Imaging Software (NIS-Elements ) program in the pathology laboratory from digitally captured images of the removed head and neck specimens.

RESULTS

The mean HU receiver operating characteristic analysis had a sensitivity of 77% and a specificity of 87%, with a cutoff value of 77.68. There was a moderate correlation between the mean trabecular density and the mean HU of the femoral head (P=0.013, r=0.340). Additionally, there was a significant correlation between the mean HU and the T-score of the head, although this correlation was not found with the maximum-minimum HU. Although there was a significant correlation between trabecular density and mean HU, the correlation coefficient indicated a moderate relationship. This relationship was also observed between the inferior sections of the head and the trabecular density and HU (P=.018). However, no significant correlation was found between the T-score and the trabecular structure of the head (P=.977).

CONCLUSION

The results of the present study suggest that conventional CT has the potential to serve as a diagnostic tool for osteoporosis and may offer a more precise and accurate method for evaluating the success of intraosseous implants when compared to T-scores without the need for additional tests or procedures.

The postoperative prognosis of older intertrochanteric fracture patients as evaluated by the Chang reduction quality criteria

OBJECTIVE

The aim of this study was to investigate the relationship between the Chang reduction quality criteria (CRQC) and the outcome of intertrochanteric fractures in older adults according to follow-up time.

METHODS

This was a retrospective analysis of 389 older adult patients with intertrochanteric fractures treated surgically from January 2019 to June 2021, including 130 males and 259 females aged 84.6 (77.5-89.7) years. Patient survival was determined by telephone as the time between admission to hospital for fracture and death or until the study deadline (June 1, 2022). According to the CRQC, the patients were divided into the Poor, Acceptable, and Excellent groups. Univariate and multivariate Cox proportional hazard models were used to assess the association between CRQC and all-cause mortality in older adult intertrochanteric fractures at 1 year and the total follow-up time. Further subgroup analysis was performed according to different clinical and biological characteristics to improve the accuracy of the results.

RESULTS

The mortality rates were 24.7% and 15.4% at 1 year and the total follow-up time, respectively. Both at one year and the total follow-up time, the mortality of the CRQC-Excellent group was significantly lower than that of the CRQC-Acceptable group (p.adj < 0.05) and the CRQC-Poor group (p.adj < 0.05). After multifactor adjustment, CRQC grades of Acceptable and Poor were independent risk factors affecting the overall and 1-year mortality. In addition, advanced age, ≥ 1 comorbidities, ASA 3 + 4, and prolonged preoperative waiting time were independent risk factors for survival at the total follow-up time. At 1 year, only ASA 3 + 4 and prolonged preoperative waiting time were independent risk factors for survival. Subgroup analysis according to different characteristics at the total follow-up time and at one year showed that in most subgroups, a decrease in the CRQC grade was significantly associated with an increase in all-cause mortality (p for trend < 0.05).

CONCLUSIONS

This study highlights that CRQC grades of Acceptable and Poor are associated with increased all-cause mortality in older adult intertrochanteric fractures. We should attempt to achieve good reduction of these fractures.

Do breaks from surgery improve the performance of orthopaedic surgeons?

This paper explores whether breaks from surgical practice impact surgeons' performance. Using a large panel of orthopaedic surgeons in England, I estimate the effect of surgeons' breaks, measured by the number of days since their last surgery, on the health outcomes of emergency patients admitted after a hip fracture. To identify a causal effect, I implement a surgeon fixed effects model and exploit the quasi-exogenous variation in breaks from unanticipated emergency hip fracture admissions. Results show that short breaks of four to six days reduce 30-day mortality rates by around six percent relative to no breaks. Notably, short breaks also affect the type of surgery carried out, holding patient characteristics fixed. Overall, these findings show that the organisation of surgeons' activity is a possible determinant of the quality of care provided.

A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures

Background

Post-operative mortality risk assessment for geriatric patients with hip fractures (HF) is a challenge for clinicians. Early identification of geriatric HF patients with a high risk of post-operative death is helpful for early intervention and improving clinical prognosis. However, a single significant risk factor of post-operative death cannot accurately predict the prognosis of geriatric HF patients. Therefore, our study aims to utilize a machine learning approach, random forest algorithm, to fabricate a prediction model for post-operative death of geriatric HF patients.

Methods

This retrospective study enrolled consecutive geriatric HF patients who underwent treatment for surgery. The study cohort was divided into training and testing datasets at a 70:30 ratio. The random forest algorithm selected or excluded variables according to the feature importance. Least absolute shrinkage and selection operator (Lasso) was utilized to compare feature selection results of random forest. The confirmed variables were used to create a simplified model instead of a full model with all variables. The prediction model was then verified in the training dataset and testing dataset. Additionally, a prediction model constructed by logistic regression was used as a control to evaluate the efficiency of the new prediction model.

Results

Feature selection by random forest algorithm and Lasso regression demonstrated that seven variables, including age, time from injury to surgery, chronic obstructive pulmonary disease (COPD), albumin, hemoglobin, history of malignancy, and perioperative blood transfusion, could be used to predict the 1-year post-operative mortality. The area under the curve (AUC) of the random forest algorithm-based prediction model in training and testing datasets were 1.000, and 0.813, respectively. While the prediction tool constructed by logistic regression in training and testing datasets were 0.895, and 0.797, respectively.

Conclusions

Compared with logistic regression, the random forest algorithm-based prediction model exhibits better predictive ability for geriatric HF patients with a high risk of death within post-operative 1 year.