Faculty Bibliography

Background Smoking, obesity, and being below a healthy body weight are known to increase all-cause mortality rates and are considered modifiable risk factors. The purpose of this study is to assess whether adding these risk factors to a validated geriatric inpatient mortality risk tool will improve the predictive capacity for hip fracture patients. We hypothesize that the predictive capacity of the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool will improve. Methodology Between October 2014 and August 2021, 2,421 patients >55-years-old treated for hip fractures caused by low-energy mechanisms were analyzed for demographics, injury details, hospital quality measures, and mortality. Smoking status was recorded as a current every-day smoker, former smoker, or never smoker. Smokers (current and former) were compared to non-smokers (never smokers). Body mass index (BMI) was defined as underweight (<18.5 kg/m²), healthy weight (18.5-24.9 kg/m²), overweight (25.0-24.9 kg/m²), or obese (>30 kg/m²). The baseline STTGMA tool for hip fractures (STTGMAHIP_FX_SCORE) was modified to include patients' BMI and smoking status (STTGMA_MODIFIABLE), and new mortality risk scores were calculated. Each model's predictive ability was compared using DeLong's test by analyzing the area under the receiver operating curves (AUROCs). Comparative analyses were conducted on each risk quartile. Results A comparison of smokers versus non-smokers demonstrated that smokers experienced higher rates of inpatient (p = 0.025) and 30-day (p = 0.048) mortality, myocardial infarction (p < 0.01), acute respiratory failure (p < 0.01), and a longer length of stay (p = 0.014). Comparison among BMI cohorts demonstrated that underweight patients experienced higher rates of pneumonia (p = 0.033), decubitus ulcers (p = 0.046), and the need for an intensive care unit (ICU) (p < 0.01). AUROC comparison demonstrated that STTGMA_MODIFIABLE significantly improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE (0.792 vs. 0.672, p = 0.0445). Quartile stratification demonstrated the highest risk cohort had a longer length of stay (p < 0.01), higher rates of inpatient (p < 0.01) and 30-day mortality (p < 0.01), and need for an ICU (p < 0.01) compared to the minimal risk cohort. Patients in the lowest risk quartile were most likely to be discharged home (p < 0.01). Conclusions Smoking, obesity, and being below a healthy body weight increase the risk of perioperative complications and poor outcomes. Including smoking and BMI improves the STTGMAHIP_FX_SCORE tool to predict mortality and risk stratify patient outcomes. Because smoking, obesity, and being below a healthy body weight are modifiable patient factors, providers can counsel patients and implement lifestyle changes to potentially decrease their risk of longer-term poor outcomes, especially in the setting of another fracture. For patients who are former smokers, providers can use this information to encourage continued restraint and healthy choices.

Background The incidence of geriatric hip fractures, respiratory infections (e.g., coronavirus disease 2019 (COVID-19), influenza), and mortality is higher during the fall and winter. The purpose of this study is to assess whether the addition of seasonality to a validated geriatric inpatient mortality risk tool will improve the predictive capacity and risk stratification for geriatric hip fracture patients. We hypothesize that seasonality will improve the predictive capacity. Methodology Between October 2014 and August 2021, 2,421 patients >55-year-old treated for hip fracture were analyzed for demographics, date of presentation, COVID-19 status (for patients after February 2020), and mortality. Patients were grouped by season based on their admission dates into the following four cohorts: fall (September-November), winter (December-February), spring (March-May), and summer (June-August). Patients presenting during the fall/winter and spring/summer were compared. The baseline Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) tool for hip fractures (STTGMAHIP_FX_SCORE) and the seasonality iteration (STTGMA_SEASON) were also compared. Sub-analysis was conducted on 687 patients between February 2020 and August 2021 amid the COVID-19 pandemic. The baseline score (STTGMAHIP_FX_SCORE) and the COVID-19 iteration (STTGMACOVID_ORIGINAL_2020) were modified to include seasonality (STTGMA_COVID/SEASON). Patients were stratified by risk score and compared. The predictive ability of the models was compared using DeLong's test. Results For the overall cohort, patients who presented during the fall/winter had a higher rate of inpatient mortality (2.87% vs. 1.25%, p < 0.01). STTGMA_SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE but not significantly (0.773 vs. 0.672, p = 0.105) On sub-analysis, regression weighting showed a coefficient of 0.643, with fall and winter having a greater absolute effect size (fall = 2.572, winter = 1.929, spring = 1.286, summer = 0.643). STTGMA_COVID/SEASON improved the predictive capacity for inpatient mortality compared to STTGMAHIP_FX_SCORE (0.882 vs. 0.581, p < 0.01) and STTGMACOVID_ORIGINAL_2020 (0.882 vs. 0.805, p = 0.04). The highest risk quartile contained 89.5% of patients who expired during their index inpatient hospitalization (p < 0.01) and 68.2% of patients who died within 30 days of discharge (p < 0.01). Conclusions Seasonality may play a role in both the incidence and impact of COVID-19 and additional respiratory infections. Including seasonality improves the predictive capacity and risk stratification of the STTGMA tool during the COVID-19 pandemic. This allows for effective triage and closer surveillance of high-risk geriatric hip fracture patients by better accounting for the increased respiratory infection incidence and the associated mortality risk seen during fall and winter.

BACKGROUND:The ability to predict long-term outcomes following surgical fixation of proximal humerus fractures would help identify patients at risk of poor functional outcomes. The purpose of this study was to develop a simple score based on preoperative data that can accurately predict functional outcomes for patients following operative management of proximal humerus fractures. METHODS:Over a 12-year period, all proximal humerus fractures surgically treated with a locked proximal humerus plate at a single institution were enrolled in a prospective database. Inclusion criteria in this analysis were any patient with a minimum of a one-year functional outcome score. Patients were assigned to the poor outcome cohort if their Disabilities of the Arm, Shoulder, and Hand (DASH) score at that time point was greater than 10 points above the mean DASH score. Logistic regression was used to build a predictive formula for cohort membership using p < 0.15 and an area under the receiver operator characteristic curve (AUROC) value was calculated to define the overall predictive capacity. RESULTS:A total of 165 patients with an average age of 60.91±13.5 years met the inclusion criteria, with 47 (28.5%) patients assigned to the poor outcome group and 118 (71.5%) patients assigned to the good outcome group. Older age (p = 0.088), BMI (p = 0.019), age-adjusted CCI (p = 0.001), non-Caucasian race (p = 0.017), no college degree (p < 0.0005), unemployed (p < 0.0005), and worker's compensation case (p = 0.002) were found to be significant predictors of poorer outcome and were used to create a final formula through logistic regression which predicted the probability of a poor outcome (Nagelkerke R Square = 0.403; Hosmer and Lemeshow = 0.902; AUROC = 0.839 [CI: 0.762-0.917]). Once each patient was assigned a score, cutoff values were defined that divided the cohort into three groups. High-risk patients had a score above 50%, and 19 (73.1%) of these patients had a poor outcome. CONCLUSIONS:The POSY score is a tool that can predict the functional outcome at one year or greater following surgical intervention for a proximal humerus fracture. Patients who score above 50% are considered at high risk for a poor functional outcome. In the era of value-based care, the POSY score may be used to direct resource utilization while improving outcomes.

PURPOSE/UNASSIGNED:The purpose of this study was to investigate if early postoperative ambulation metrics affect hospital quality measures and 1-year outcomes in operative hip fracture patients. METHODS/UNASSIGNED:A consecutive series of hip fracture patients [OTA/AO 31A, 31B, 32A-C] who underwent operative treatment were reviewed for demographic and clinical data. Chart review was performed to determine participation with physical therapy [PT] and ambulation distance on postoperative day (POD) 1, 3, and 5. POD1 ambulators and non-ambulators were statistically compared. Outcome correlates of postoperative ambulation distance were investigated by univariate and multivariate linear and logistic regression. RESULTS/UNASSIGNED: = 0.0353). CONCLUSIONS/UNASSIGNED:Failure to ambulate on POD1 following hip fracture surgery in >55 years is associated with an increased risk of in-hospital complications and mortality. Every effort should be made address this modifiable risk factor and mobilise patients on POD1 to improve patient outcomes.

SUMMARY/CONCLUSIONS:A 46-year-old man presents with left knee bucking 3 months after open reduction and internal fixation of a left knee inferior pole patella fracture. Radiograph and magnetic resonance imaging evaluation reveal displacement and comminution of the inferior pole of the patella confirming failure of the repair. The purpose of this video is to demonstrate the surgical management of failed inferior pole patella fractures using suture anchors for repair of the patella tendon and augmentation with ipsilateral autologous hamstring grafts.

SUMMARY/CONCLUSIONS:The case of a 60-year-old woman with an impacted, dorsally unstable, displaced intra-articular distal radius fracture with dorsal sheer treated via a dorsal approach. Literature comparing dorsal to volar plating of the distal radius is mixed. Dorsal plating may lead to a greater incidence of implant removal, although radiographic and clinical outcomes seem to be similar. The rates of these complications have reduced over time with the introduction of lower profile locking plates. At 1-year after surgery, the patient demonstrated excellent clinical results with near full and painless range of motion of the wrist. She had full range of motion of thumb and fingers. The dorsal approach to the distal radius offers reliable restoration of functional ability with a low rate of neuropathic complications.

SUMMARY/CONCLUSIONS:This is a case of a 36-year-old female patient presenting with left forearm and wrist pain after a ground-level fall onto her outstretched left hand. Clinical and radiographic evaluation is consistent with a left distal radial shaft fracture with disruption of the distal radioulnar joint, known as a Galeazzi fracture. The purpose of this video is to review the appropriate management of Galeazzi fractures and demonstrate our treatment with this surgical approach.

SUMMARY/CONCLUSIONS:Anteromedial coronoid facet fractures typically occur with varus, pronation, and axial forces applied to the elbow. Due in part to the high rate of concomitant lateral collateral ligament (LCL) injuries, untreated anteromedial facet fractures can result in varus and posteromedial rotatory elbow instability. Although small fractures that are not amenable to open reduction and internal fixation can be treated with isolated LCL repair, larger fragments are treated with buttress plating on the anteromedial surface of the coronoid with or without LCL repair. The "over-the-top" approach via a split in the flexor pronator mass is the preferred method of accessing the anteromedial facet. Although data regarding the functional outcomes after operative fixation of the anteromedial facet are limited, observational studies have demonstrated good restoration of elbow stability and motion.