Age Is Just a Number: Patient Age Does Not Affect Outcome Following Surgery for Osteoporotic Vertebral Compression Fractures

Mediating Medical Comorbidities in Geriatric Patients Undergoing Surgery for OVCF: From Preoperative Screening to Risk and Outcomes Optimization

OBJECTIVES

Osteoporotic vertebral compression fractures (OVCF) are a common increasing entity in elderly patients and represent a tremendous economic burden. Surgical treatment is related to high complication rates and little is known about patient-specific and internal risk factors associated with poor clinical results.

METHODS

We carried out a comprehensive, systematic literature search according to the PRISMA checklist and algorithm. Risk factors for perioperative complications, for early inpatient readmission, for the duration of the hospital stay, the hospital mortality, the total mortality and the clinical result were analyzed.

RESULTS

A total of 739 potentially usable studies were identified. After considering all inclusion and exclusion criteria, 15 studies with 15,515 patients were included. Non-adjustable risk factors were age >90 years (OR 3.27), male gender (OR 1.41), BMI less than 18.5 kg/m² (OR 3.97), ASA score >3 (OR 2.7), activity of daily live (ADL) (OR 1.52), dependence (OR 5.68), inpatient admission status (OR 3.22), Parkinson disease (OR 3.63) and disseminated cancer (OR 2.98). Adjustable factors were insufficient kidney function (GFR <60 mL/min, and Creatinine Clearance below 60 mg/dl) (OR 4.4), nutrition status (hypalbuminemia (<3.5 g/dl)), liver function (OR 8.9) and further cardiac and pulmonary comorbidities.

DISCUSSION

We identified a couple of non-adjustable risk factors, which should be considered preoperatively in terms of risk assessment. However, even more important were adjustable factors that can be influenced preoperatively. In conclusion, we recommend a perioperative interdisciplinary cooperation, especially with geriatricians, to achieve the best possible clinical results in geriatric patients undergoing surgery for OVCF.

Development and validation of a nomogram for predicting the probability of new vertebral compression fractures after vertebral augmentation of osteoporotic vertebral compression fractures

INTRODUCTION

New vertebral compression fractures (NVCFs) are adverse events after vertebral augmentation of osteoporotic vertebral compression fractures (OVCFs). Predicting the risk of vertebral compression fractures (VCFs) accurately after surgery is still a significant challenge for spinal surgeons. The aim of our study was to identify risk factors of NCVFs after vertebral augmentation of OVCFs and develop a nomogram.

METHODS

We retrospectively reviewed the medical records of patients with OVCFs who underwent percutaneous vertebroplasty (PVP) or percutaneous kyphoplasty (PKP). Patients were divided into the NVCFs group and control group, base on the patients with or without NVCFs within 2 years follow-up period after surgery. A training cohort of 403 patients diagnosed in our hospital from June 2014 to December 2016 was used for model development. The independent predictive factors of postoperative VCFs were determined by least absolute shrinkage and selection operator (LASSO) logistic regression, univariate analysis and multivariate logistic regression analysis. We provided a nomogram for predicting the risk of NVCFs based on independent predictive factors and used the receiver operating characteristic curve (ROC), calibration curve, and decision curve analyses (DCA) to evaluated the prognostic performance. After internal validation, the nomogram was further evaluated in a validation cohort of 159 patients included between January 2017 and June 2018.

RESULTS

Of the 403 patients in the training cohort, 49(12.16%) were NVCFs at an average of 16.7 (1 to 23) months within the 2 years follow-up period. Of the 159 patients in the validation cohort, 17(10.69%) were NVCFs at an average of 8.7 (1 to 15) months within the 2 years follow-up period. In the training cohort, the proportions of elderly patients older than 80 years were 32.65 and 13.56% in the NVCFs and control group, respectively (p = 0.003). The percentages of patients with previous fracture history were 26.53 and 12.71% in the NVCFs and control group, respectively (p = 0.010). The volume of bone cement were 4.43 ± 0.88 mL and 4.02 ± 1.13 mL in the NVCFs and Control group, respectively (p = 0.014). The differences have statistical significance in the bone cement leakage, bone cement dispersion, contact with endplate, anti-osteoporotic treatment, post-op Cobb angle and Cobb angle restoration characteristics between the two groups. The model was established by multivariate logistic regression analysis to obtain independent predictors. In the training and validation cohort, the AUC of the nomogram were 0.882 (95% confidence interval (CI), 0.824-0.940) and 0.869 (95% CI: 0.811-0.927), respectively. The C index of the nomogram was 0.886 in the training cohort and 0.893 in the validation cohort, demonstrating good discrimination. In the training and validation cohort, the optimal calibration curves demonstrated the coincidence between prediction and actual status, and the decision curve analysis demonstrated that the full model had the highest clinical net benefit across the entire range of threshold probabilities.

CONCLUSION

A nomogram for predicting NVCFs after vertebral augmentation was established and validated. For patients evaluated by this model with predictive high risk of developing postoperative VCFs, postoperative management strategies such as enhance osteoporosis-related health education and management should be considered.