Age-Adjusted Modified Frailty Index: Association With Hip Fracture Discharge Functional Dependence.

INTRODUCTION: Hip fractures are a common traumatic injury that carry significant morbidity and mortality, and prognostication of functional outcome is becoming increasingly salient. Across multiple surgical specialties, the five-item and 11-item Modified Frailty Index (mFI-5 and mFI-11) have been found to be convenient, quick, and sensitive tools for identifying patients at risk for perioperative complications. A prior study described the superiority of an Age-Adjusted Modified Frailty Index (aamFI) for predicting perioperative complications compared to the mFI-5 in an elective hip surgery. We sought to externally validate the aamFI in a multicenter hip fracture cohort and hypothesize that these risk scores would not only predict functional dependence (FD) at discharge, but that the aamFI would outperform the mFI-5 and mFI-11. METHODS: The Pennsylvania Trauma Systems Foundation registry was queried from 2010 to 2020 for CPT codes, ICD-9 and ICD-10 codes pertaining to hip fracture patients. Patients with missing locomotion and transfer mobility data were excluded. FD status was determined by discharge locomotion and transfer mobility scores per existing methodology. Univariable and Multivariable analysis as well as receiver operator characteristic curves were used to evaluate and compare the three indices for prediction of functional status at discharge. P value < 0.05 was considered significant. RESULTS: Twelve thousand seven hundred and forty patients met inclusion criteria (FD: 8183; functional independent 4557). On univariable logistic regression analysis, the mFI-11 (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.47-1.58, P < 0.05), mFI-5 (OR 1.57, 95% CI 1.51-1.63), and aamFI (OR 1.57, 95% CI 1.52-1.62, P < 0.05) were associated with FD. On multivariable logistic regression analysis for predictors of FD, when controlling for age (for the mFI-11 and mFI-5), sex, injury severity score, and admission vitals (systolic blood pressure and respiratory rate), higher mFI-11 and mFI-5 scores independently predicted FD at discharge (OR 1.23, 95% CI 1.18-1.28, P < 0.05 and OR 1.23, 95% CI 1.18-1.29P < 0.05 respectively). Higher aaMFI scores had superior association with functional dependence (OR 1.59, 95% CI 1.54-1.64, P < 0.05). Receiver operator characteristic curves for the mFI-11, mFI-5, and aaMFI showed comparable diagnostic strength (area under curve [AUC] = 0.63 95% CI 0.62-0.64, P < 0.05; AUC = 0.63 95% CI 0.62-0.64, P < 0.05; and AUC = 0.67 95% CI 0.65-0.67, P < 0.05 respectively). CONCLUSIONS: The mFI-11, mFI-5, and aamFI are predictive of functional outcome following hip fracture. By including age, the aamFI retains the ease of use of the mFI-5 while improving its prognostic utility for functional outcome.

The Cost-Effectiveness of Normal-Saline Pulsed Lavage for Infection Prophylaxis in Total Joint Arthroplasty.

Background: Prosthetic joint infection (PJI) is a well-described complication after total joint arthroplasty which imposes a substantial burden of morbidity and mortality on the individual, as well as cost to the health-care system. This study used a break-even analysis to investigate the cost-effectiveness of pulsed saline lavage (PSL) for PJI prophylaxis after a primary total knee arthroplasty (TKA) and total hip arthroplasty (THA). Methods: An established model was used to calculate the minimum cost-effective absolute risk reduction of PSL for infection prophylaxis after a total joint arthroplasty. Baseline infection rates of TKA and THA and the cost of a revision surgery for PJI were derived from the literature while the cost of PSL implementation was obtained from institutional data. Results: PSL is cost-effective at an initial infection rate of 1.10%, revision costs of $32,132 for TKA PJI, and a protocol cost of $38.28 if it reduces infection rates by 0.12% or prevents infection in 1 out of 839 patients. PSL is cost-effective at an initial infection rate of 1.63% and a revision cost of $39,713 for THA PJI if it reduces infection rates by 0.10% or prevents infection in 1 out of 1037 patients. The absolute risk reduction needed for economic viability did not change with varying baseline infection rates and did not exceed 0.38% for infection treatment costs as low as $10,000 and remained less than 0.47% even if PSL cost was as high as $150. Conclusions: The use of PSL is a cost-effective protocol for PJI prophylaxis after TKAs and THAs.

Socioeconomic and demographic factors contributing to outcomes in patients with primary lymphoma of bone.

BACKGROUND: Primary lymphoma of bone (PLB) is a rare disease, comprising a malignant lymphoid infiltrate of bone. The goal of this study was to identify socioeconomic, demographic, and anatomic factors as prognostic indicators of survival for this disease using the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: The SEER database was used to identify a study population of 692 patients diagnosed with PLB in the United States from 1989 to 2003. Survival was analyzed using the Kaplan-Meier method, with effects of potential prognostic factors on survival analyzed using the log-rank test. Multivariable analysis was performed by Cox proportional hazards regression. RESULTS: The overall 5-year survival rate was 49.6%, with a 10-year survival rate of 30.2%. Median overall survival was 4.9 years (95% CI: 3.9, 6.1). In multivariable analysis, age (p<0.0001), marital status (p=0.006), and appendicular vs. axial tumor location (p=0.004) were found to be independent predictors of survival. CONCLUSIONS: This population-based study of PLB identified age, marital status, and tumor location as independent indicators of prognosis. This finding supports the clinical suspicion that an appendicular tumor location confers a better prognosis than an axial tumor location.

Improvement in Overall Survival from Extremity Soft Tissue Sarcoma over Twenty Years.

Several patient demographic factors, including marital status, have been demonstrated to have prognostic significance for survival in extremity soft tissue sarcoma (ESTS). A study population of 12,546 adult patients diagnosed with ESTS from 1991 to 2010 was identified from the SEER database, a large population-based registry, in order to determine whether overall survival had changed over this recent 20-year period. The study population was divided into three groups by year of diagnosis: 1991-1996, 1997-2003, and 2004-2010. We used the Kaplan-Meier method and Cox proportional hazards regression to assess survival differences between different demographic groups and prognostic clinical characteristics. Over the course of time, the 5-year overall survival rates have increased from 28% in the earliest time period to 62% in the latest (P < 0.0001). On multivariate analysis, the mortality rate progressively declined from the 1991-1996 group (HR: 3.02, CI: 2.78-3.29) to the 1997-2003 group (HR: 2.21, CI: 2.06-2.37), with the 2004-2010 group having the best overall survival, despite increases in the proportion of patients with tumors greater than 5 cm in size (P < 0.0001), and those presenting with metastasis (P < 0.0001).

An analysis of causes of readmission after spine surgery.

STUDY DESIGN: Retrospective review of medical records. OBJECTIVE: We reviewed all early readmissions after elective spine surgery at a single orthopedic specialty hospital to analyze the causes of unplanned readmissions. SUMMARY OF BACKGROUND DATA: Recent advances in techniques and instrumentation have made more complex spinal surgeries possible, although sometimes with more complications. Early readmission rate is being used as a marker to evaluate quality of care. There is little data available regarding the causes of early readmissions after spine surgery. METHODS: Using the hospital's administrative database of patient records from 2007 to 2009, all patients who underwent spine surgery and were readmitted to the hospital within 30 days were identified and broadly categorized as planned (a staged or rescheduled procedure or a direct transfer) or unplanned. Unplanned readmissions were defined to have occurred as a result of either a surgical or a nonsurgical complication. Analysis was focused on 12 common spine procedures based on the principle procedure International Classification of Diseases, Ninth Revision, Clinical Modification code for the patient's initial admission. The readmission rate was calculated for each procedure. RESULTS: A total of 156 early readmissions were identified, of which 141 were unplanned. Of the unplanned readmissions, the most common causes were infection or a concern for an infection (45 patients, 32% of unplanned readmissions), nonsurgical complications (31 patients, 22% of readmissions), complications requiring surgical revision (21 patients, 15% of readmissions), and wound drainage (12 patients, 9% of readmissions). Fifty-seven percent of unplanned readmissions required a return to the operating room (76% of infections or concern for infection). The average length of stay for the unplanned readmissions was 6.5 days. When using the 12 most common procedures based on the International Classification of Diseases, Ninth Revision, Clinical Modification, the early readmission rate was 3.8% (141 early readmissions in 3673 procedures). CONCLUSION: Infection, medical complications after surgery, and surgical complications requiring revision of implants are the primary causes of unplanned early readmissions and spine surgery. Further studies are necessary to identify patients and procedures most associated with readmission.