Exploring the osteoporosis treatment gap after fragility hip fracture at a Tertiary University Medical Center in Thailand

Predictive Model of Recovery to Prefracture Activities-of-Daily-Living Status One Year after Fragility Hip Fracture

Background and Objectives: Achieving prefracture functional status is a critical objective following a hip fracture, yet fewer than half of patients reach this milestone. The adoption of tools for assessing functional outcomes is increasingly recognized as essential for evaluating recovery following treatment for fragility hip fractures. We developed multivariable clinical prediction criteria to estimate the likelihood of patients regaining their prefracture activities-of-daily-living (ADL) status one year after sustaining a fragility hip fracture. Materials and Methods: A retrospective cohort of patients treated for fragility hip fractures at a university-affiliated tertiary care center between February 2017 and April 2019 served as the basis for developing and internally validating the clinical prediction criteria. We applied a multivariable fractional polynomial method to integrate several continuous predictors into a binary logistic regression model. Results: The study included 421 patients, 324 (77%) of whom reported regaining their prefracture activities-of-daily-living level one year after experiencing fragility hip fractures. Significant predictors, such as the prefracture Barthel index, EQ-VAS score, and treatment modality, were incorporated into the predictive model. The model demonstrated excellent discriminative power (AuROC of 0.86 [95% CI 0.82-0.91]) and satisfactory calibration. Conclusions: The predictive model has significant discriminative ability with good calibration and provides clinicians with a means to forecast the recovery trajectories of individual patients one year after a fragility hip fracture, which could be useful because prompt clinical decision-making is aided by this information. Patients and caregivers can also be counseled and encouraged to follow up with the medical activities and interventions deemed essential by doctors who used the prediction tool. Access to the model is provided through a web application. External validation is warranted in order to prove its applicability and generalizability.

Prognostic Factors for Functional Recovery at 1-Year Following Fragility Hip Fractures

Background

The main objective of treating fragility hip fractures is to maximize the patients' ability to return to their basic activities of daily living (ADL) levels. This study explored prognostic factors associated with the ability to recover pre-fracture ADL levels at 1 year after fragility hip fractures.

Methods

We retrospectively recruited patients admitted with fragility hip fractures between July 2016 and September 2018. Details of the following were extracted from electronic medical records: age, sex, body mass index; pre-fracture Charlson Comorbidity Index (CCI), Barthel index, and EuroQol-Visual Analog Scale (EQ-VAS) scores; pre-fracture ambulatory status; and fracture type and treatment. The primary endpoint was the ability to return to the pre-fracture ADL status at 1 year. Multivariable logistic regression analysis assessed the prognostic ability of predictors.

Results

Of 405 patients, 284 (70.1%) managed to return to their pre-fracture ADL status. Multivariable logistic regression analysis demonstrated that the predictor with the most apparent effect size was pre-fracture EQ-VAS scores ≥ 65 (multivariable odds ratio [mOR], 12.90; p = 0.03). Other influential predictors were CCI scores < 5 (mOR, 1.96; p = 0.01) and surgical treatment for the hip fracture.

Conclusions

Three prognostic factors can predict a hip fracture patient's ability to return to the pre-fracture ambulatory status at 1 year. They are the patient's CCI score, operative treatment for the hip fracture, and the pre-fracture EQ-VAS score. This information could be used to develop a clinical prediction model based on the prognostic factors.

Addressing osteoporosis treatment after hemiarthroplasty for a femoral neck fracture: impact on survival rates after a subsequent periprosthetic femoral fracture - a multicenter (TRON group) retrospective study

This study investigated the impact of osteoporosis treatment on the prognosis of patients with periprosthetic femoral fracture (PPF) following femoral neck fracture (FNF). Our results suggested an association between osteoporosis treatment and potentially improved survival prognosis in patients who underwent surgery for PPF. These results imply that osteoporosis treatment may have a beneficial effect on patient outcomes.

PURPOSE

This study aimed to investigate the effect of osteoporosis treatment on the prognosis of periprosthetic femoral fracture (PPF) patients after femoral neck fracture.

METHODS

A multicenter retrospective study named as TRON was conducted. The study population included 156 PPF patients who had undergone hemiarthroplasty for femoral neck fracture between January 2010 and December 2019. Patients were divided based on whether they had received osteoporosis treatment before PPF injury. A log-rank test was used to compare survival rates. We conducted a Cox proportional hazards analysis to identify factors associated with the survival rate after PFF injury.

RESULTS

Twenty-seven of the 156 patients had received osteoporosis treatment prior to PPF injury. The 1-year and 2-year overall survival rates after PPF were 80.9% and 75.3%, respectively. The log-rank test revealed that the 1-year survival rate with and without osteoporosis treatment was 89.5% and 78.1%, respectively (P=0.012). In the Cox proportional hazards analysis, age, BMI, presence or absence of surgery, and presence or absence of osteoporosis treatment showed independent associations with the survival rate after PFF injury. The hazard ratio for the presence of osteoporosis treatment was 0.22 (95% confidence interval 0.07-0.75, P=0.015).

CONCLUSION

The findings of this study suggest an association between osteoporosis treatment and potentially improved survival prognosis in patients who underwent surgery for PPF. These results imply that osteoporosis treatment may have a beneficial effect on patient outcomes. It is important to consider that osteoporosis treatment could be significant not only in preventing secondary fractures but also in potentially improving prognosis in the rare event of PPF.

Fragility fracture care gap at a tertiary teaching hospital in Malaysia

Fracture begets fracture, pharmacological treatment is needed to prevent secondary fractures. This study found that there was a fragility fracture care gap where both bone health investigations and treatment initiation rates were low. Strategies such as Fracture Liaison Service is needed to address the care gap.

PURPOSE

This study aimed to investigate the clinical burden and secondary fracture prevention of fragility fractures at a tertiary teaching hospital in Malaysia.

METHODS

Electronic medical records of all patients admitted with fragility fractures between 1 January 2017-31 December 2018 were reviewed. Patients < 50 years old, with non-fragility fractures, restricted access to medical records, transferred to another hospital or who passed away during admission were excluded. Descriptive statistics were used to summarise patients' characteristics, frequency of fragility fractures, and secondary fracture prevention details. Binomial logistic regression was performed to analyse predictive factors for post-fracture bone health assessments and treatment initiation.

RESULTS

1030 patients [female (767/1030, 74.5%)] presented with 1071 fractures [hip fractures (378/1071, 35.3%)]. 170/993 (17.1%) patients were initiated on anti-osteoporosis medications (AOMs) and 148/984 (15.0%) had bone mineral density (BMD) performed within 1-year post-fracture. Less than half (42.4%) of the patients remained on treatment at 1-year post-fracture. Older patients [65-74 years old: odds ratio (OR) = 2.18, 95%CI 1.05-4.52, p = 0.04; ≥ 75 years: OR = 3.06, 95%CI 1.54-6.07, p < 0.01], hip fractures (OR = 1.95, 95%CI 1.23-3.11, p < 0.01), Chinese ethnicity (OR = 1.90, 95%CI 1.07-3.35, p = 0.03),previously diagnosed with osteoporosis (OR = 2.65, 95%CI:1.32-5.31, p < 0.01) and a BMD test performed (OR = 12.48, 95%CI 8.04-19.37, p < 0.01) were found to have higher AOM initiation. Patients with past diagnosis of osteoporosis (OR = 4.45, 95%CI 2.25-8.81, p < 0.01) and initiated on AOM (OR = 11.34, 95%CI 7.57-16.97, p < 0.01) had a higher likelihood to undergo BMD testing.

CONCLUSION

The AOM initiation and BMD testing rates were low. There is a need to address the fragility fracture care gap with strategies such as Fracture Liaison Service.