Faculty Bibliography

OBJECTIVES:(1) To demonstrate how a risk assessment tool modified to account for the COVID-19 virus during the current global pandemic is able to provide risk assessment for low-energy geriatric hip fracture patients. (2) To provide a treatment algorithm for care of COVID-19 positive/suspected hip fractures patients that accounts for their increased risk of morbidity and mortality. SETTING:One academic medical center including 4 Level 1 trauma centers, 1 university-based tertiary care referral hospital, and 1 orthopaedic specialty hospital. PATIENTS/PARTICIPANTS:One thousand two hundred seventy-eight patients treated for hip fractures between October 2014 and April 2020, including 136 patients treated during the COVID-19 pandemic between February 1, 2020 and April 15, 2020. INTERVENTION:The Score for Trauma Triage in the Geriatric and Middle-Aged ORIGINAL (STTGMAORIGINAL) score was modified by adding COVID-19 virus as a risk factor for mortality to create the STTGMACOVID score. Patients were stratified into quartiles to demonstrate differences in risk distribution between the scores. MAIN OUTCOME MEASUREMENTS:Inpatient and 30-day mortality, major, and minor complications. RESULTS:Both STTGMA score and COVID-19 positive/suspected status are independent predictors of inpatient mortality, confirming their use in risk assessment models for geriatric hip fracture patients. Compared with STTGMAORIGINAL, where COVID-19 patients are haphazardly distributed among the risk groups and COVID-19 inpatient and 30 days mortalities comprise 50% deaths in the minimal-risk and low-risk cohorts, the STTGMACOVID tool is able to triage 100% of COVID-19 patients and 100% of COVID-19 inpatient and 30 days mortalities into the highest risk quartile, where it was demonstrated that these patients have a 55% rate of pneumonia, a 35% rate of acute respiratory distress syndrome, a 22% rate of inpatient mortality, and a 35% rate of 30 days mortality. COVID-19 patients who are symptomatic on presentation to the emergency department and undergo surgical fixation have a 30% inpatient mortality rate compared with 12.5% for patients who are initially asymptomatic but later develop symptoms. CONCLUSION:The STTGMA tool can be modified for specific disease processes, in this case to account for the COVID-19 virus and provide a robust risk stratification tool that accounts for a heretofore unknown risk factor. COVID-19 positive/suspected status portends a poor outcome in this susceptible trauma population and should be included in risk assessment models. These patients should be considered a high risk for perioperative morbidity and mortality. Patients with COVID-19 symptoms on presentation should have surgery deferred until symptoms improve or resolve and should be reassessed for surgical treatment versus definitive nonoperative treatment with palliative care and/or hospice care. LEVEL OF EVIDENCE:Prognostic Level III. See Instructions for Authors for a complete description of Levels of Evidence.

INTRODUCTION/BACKGROUND:Nonunion of a femoral periprosthetic fracture is a rare occurrence in orthopedic practice. Failure of a periprosthetic fracture to heal can lead to substantial disability and pain for patients as well as the potential need for component revision. Relatively little literature exists describing their management and outcome. METHODS:Eleven patients with femoral periprosthetic fracture nonunion who presented for tertiary care were enrolled in a prospective data registry. Patients were considered to have developed nonunion following failure of progression in radiographic and clinical healing for a 6-month period. All patients were seen at standard postoperative intervals, and outcomes were recorded using the Short Musculoskeletal Function Assessment (SMFA), visual analog scale (VAS) for pain, physical examination, and radiographic examination. Preoperative radiographs were reviewed for classification. RESULTS:Eleven patients had periprosthetic femoral fracture nonunion associated with prior hip (five patients) or knee (six patients) arthroplasty and were included in our study. Mean follow-up time was 30 months. Mean age at time of nonunion surgery was 64.5 years (range: 41.8 to 78.2 years). All patients underwent removal of previous fracture hardware at time of nonunion surgery. Ten (91%) of 11 received autogenous iliac crest bone grafting at time of nonunion surgery. Ten (91%) of the 11 patients went on to union without further intervention. Mean time to union was 7.9 months (SD: 8.0). The one patient that developed a persistent nonunion was complicated by infection requiring multiple irrigation and debridement procedures and total hip explant. The mean improvement in total SMFA score from baseline to final follow-up was 22.6 (p = 0.030). The greatest functional improvement was in the bothersome index at 28.0 (p = 0.028). The mean improvement in VAS pain score from baseline to final follow-up was 4.5 (p = 0.013). DISCUSSION/CONCLUSIONS:Periprosthetic fracture nonunions can be successfully treated with operative intervention aimed at compression plating with bone graft and retention of primary components. In addition, successful periprosthetic nonunion repair improves function and pain in these patients.

The SARS-COV-2 (COVID-19) pandemic has placed unprecedented challenges on the health care system in the United States with New York City at its epicenter. By the end of the 8 week (4/23/2020) since the virus's emergence in New York City, there have been 142,432 confirmed COVID-19 cases and 10,977 deaths attributed to complications from COVID-19-related illnesses. Secondary to policies enacted by the New York State government to limit spread of the virus, Orthopedic Surgery departments at hospitals around the area have witnessed an abrupt change in clinical demands. At a local level one trauma hospital in Queens, New York, Orthopedic Surgery elective cases have been cancelled, trauma consult volume has experienced a sharp decline, and both residents and attendings have been repurposed to meet the new clinical demands of this medical crisis. Our own orthopedic surgery service has adopted care for patients normally admitted to an internal medicine service in a novel Ortho-Medical COVID-19 management team. We prepared this primer to make our experience with caring for COVID-19 patents available as a reference for other surgical subspecialty services preparing to adjust the clinical focus of their hospital teams during this or future pandemics. LEVEL OF EVIDENCE:: Level V.

OBJECTIVES/OBJECTIVE:To examine one health system's response to the essential care of its hip fracture population during the COVID-19 pandemic and report on its effect on patient outcomes. DESIGN/METHODS:Prospective cohort study SETTING:: Seven musculoskeletal care centers with New York City and Long Island. PATIENTS/PARTICIPANTS/METHODS:138 recent and 115 historical hip fracture patients. INTERVENTION/METHODS:Patients with hip fractures occurring between February 1, 2020 and April 15, 2020 or between February 1, 2019 and April 15, 2019 were prospectively enrolled in an orthopedic trauma registry and chart reviewed for demographic and hospital quality measures. Patients with recent hip fractures were identified as COVID positive (C+), COVID suspected (Cs) or COVID negative (C-). MAIN OUTCOME MEASUREMENTS/METHODS:Hospital quality measures, inpatient complications and mortality rates. RESULTS:Seventeen (12.2%) patients were confirmed C+ by testing and another 14 (10.1%) were suspected (Cs) of having had the virus but were never tested. The C+ cohort, when compared to Cs and C- cohorts, had: an increased mortality rate (35.3% vs 7.1% vs 0.9%), increased length of hospital stay, a greater major complication rate and a greater incidence of ventilator need postoperatively. CONCLUSIONS:COVID-19 had a devastating effect on the care of hip fracture patients during the pandemic. Although practice patterns generally remained unchanged, treating physicians need to understand the increased morbidity and mortality in hip fracture patients complicated by COVID-19. LEVEL OF EVIDENCE/METHODS:Prognostic Level III. See Instructions for Authors for a complete description of Levels of Evidence.

BACKGROUND/UNASSIGNED:The purpose of this study was to identify characteristic patterns of syndesmotic screw (SS) failure, and any effects on clinical outcome. METHODS/UNASSIGNED:A retrospective study was performed using a consecutive series of patients treated with open reduction and internal fixation with trans-syndesmotic screws for unstable ankle fractures with syndesmotic injury between 2015 and 2017. Patient demographics, fracture characteristics and classification, rates and patterns of trans-syndesmotic screw breakage, and backout were analyzed. Functional outcome was assessed using passive range of motion (ROM) and Maryland Foot Score (MFS). RESULTS/UNASSIGNED:> .07). CONCLUSION/UNASSIGNED:Syndesmotic screw breakage was common in younger, male patients. Despite similarities in ankle range of motion and clinical outcome scores to patients with intact screws, there was a trend towards more frequent screw removal. This information can be used to counsel patients pre- and postoperatively regarding the potential for screw failure and subsequent implant removal. LEVEL OF EVIDENCE/UNASSIGNED:Level III, retrospective case-control study.

INTRODUCTION/BACKGROUND:The purpose of this study was to combine a validated middle-age and geriatric trauma risk assessment tool (STTGMA) with a novel cost-prediction tool to create an objective triage tool for elderly hip fractures that would guide value-based care initiatives. METHODS:From October 2014 to January 2018, all patients aged ≥55 years who were admitted with a primary diagnosis of hip fracture to a single level 1 trauma center were enrolled. Upon evaluation in the emergency department, demographics, injury severity, and functional status were recorded to calculate the trauma triage score (STTGMARisk). A model to predict high-cost hip fracture patients was created using similar variables (STTGMACost). RESULTS:Three hundred sixty-one consecutive operative hip fracture patients were enrolled. Inpatient mortalities were skewed toward STTGMARisk3 with 21.4% of patients in this high-risk group ultimately expiring during their hospitalization. High-cost patients were correctly skewed to the STTGMACost2 and STTGMACost3 groups with 88.9% of all high-cost operatively treated hip fracture correctly triaged to these cohorts. Statistically significant variations were found in cost within each STTGMARisk group. CONCLUSIONS:A simple risk score calculated upon admission (STTGMARisk and STTGMACost) was able to be used as a triage tool not only to differentiate increased mortality risk but also to predict high-cost patients based on resource utilization in hip fracture patients. LEVEL OF EVIDENCE/METHODS:Prognostic, level II.

BACKGROUND:The purpose of this study was to compare narcotic use in the 90-day postoperative period across orthopaedic trauma, spine, and adult reconstruction patients and examine whether patient-reported pain scores at discharge correlate with narcotic use during the 90-day postoperative period. METHODS:Electronic medical record query was done between 2012 and 2015 using diagnosis-related groups for spine, adult reconstruction, and trauma procedures. Demographics, length of stay (LOS), visual analog scale pain scores during hospitalization, and narcotics prescribed in the 90-day postoperative period were collected. Multivariate analysis and linear regression were done. RESULTS:Five thousand thirty patients were analyzed. Spine patients had the longest LOS, highest mean pain during LOS, and were prescribed the most morphine in the 90-day postoperative period. Linear regression revealed that pain scores at discharge markedly influence the quantity of narcotics prescribed in the 90-day postoperative period. DISCUSSION/CONCLUSIONS:Patient-reported pain at hospital discharge was associated with increased narcotic use in the 90-day postoperative period.

PURPOSE/OBJECTIVE:The purpose of this study is to determine if the radiographic humerus union measurement (RHUM) is predictive of union in humeral shaft fractures treated nonoperatively. METHODS:All patients with long bone fracture nonunion presenting to a single surgeon were enrolled in a prospective registry. This registry was queried to identify patients with humeral shaft fractures treated nonoperatively and developed nonunion. The nonunion cohort was matched to a three to one gender- and age-matched control group that were treated nonoperatively for a humeral shaft fracture and achieved union. Two fellowship-trained orthopedic traumatologists blinded to eventual union scored radiographs obtained 12 weeks after injury using the RHUM. A binomial logistic regression determined the effect of the RHUM on the likelihood of developing union. RESULTS:Nine patients with humeral shaft fractures treated nonoperatively with radiographs 12 weeks after injury that developed nonunion were identified. These patients were matched to 27 controls. Logistic regression demonstrated the RHUM was a significant predictor of healing 12 weeks after humeral shaft fracture treated nonoperatively (p = 0.014, odds ratio 9.434, 95% CI for OR 1.586-56.098). All patients with RHUM below 7 went on to nonunion. All patients with RHUM above 8 healed. Three of seven patients (43%) with RHUM of 7 or 8 healed. CONCLUSION/CONCLUSIONS:The RHUM demonstrated an increased likelihood of achieving union 12 weeks after injury. Orthopedic surgeons can counsel patients that fractures with RHUM scores of 6 or below are in danger of developing nonunion and can target interventions appropriately.

The purpose of this study was to compare the functional outcomes of diabetic patients who were treated for a fracture nonunion against matched controls. Sixty-one diabetic patients (type 1 or type 2) were identified from a prospective database. This cohort was paired with matched controls and univariate analysis was performed to evaluate for differences in complication rates, time to bony union and functional outcomes at 3, 6, 12, and greater than 24 months post-operatively.The diabetic group was composed of 29 females and 32 males, with an average age of 58 years, and 17 upper extremity nonunions and 43 lower extremity nonunions. Time to bony union, complication rate or functional outcomes at any follow-up time point did not significantly differ between groups. The comorbidity of diabetes mellitus does not lead to worse functional outcomes or increased complications following surgical treatment for a fracture nonunion.

OBJECTIVES/OBJECTIVE:To develop a tool that can be used preoperatively to identify patients at risk of poor functional outcome following operative repair of fracture nonunion. DESIGN/METHODS:Retrospective analysis of prospectively collected data. SETTING/METHODS:Academic medical center. PATIENTS/PARTICIPANTS/METHODS:Three hundred twenty-eight patients who underwent operative repair of a fracture nonunion were prospectively followed for a minimum of 12 months post-operatively. INTERVENTION/METHODS:After randomization, 223 (68%) patients comprised an experimental cohort and 105 (32%) patients comprised a separate validation cohort. Within the experimental cohort, forward stepwise multivariate logistic regression was applied to 17 independent variables to generate a predictive model identifying patients at risk of having a poor functional outcome [Predicting Risk of Function in Trauma-Nonunion (PRoFiT-NU) Score]. MAIN OUTCOME MEASUREMENTS/METHODS:Functional outcomes were assessed using the Short Musculoskeletal Function Assessment (SMFA). Poor outcome was defined as an SMFA function index greater than 10 points above the mean at 12 months post-operatively. RESULTS:Significant predictors of poor outcome were lower extremity nonunion [odds ratio (OR) = 3.082; P = 0.021], tobacco use (OR = 2.994; P = 0.009), worker's compensation insurance (OR = 3.986; P = 0.005), radiographic bone loss (OR = 2.397; P = 0.040), and preoperative SMFA function index (OR = 1.027; P = 0.001). The PRoFiT-NU model was significant and a good predictor of poor functional outcome (χ(5) = 51.98, P < 0.0005; area under the receiver operating curve = 0.79). Within the separate validation cohort, 16% of patients had a poor outcome at a PRoFiT-NU score below 25% (low risk), 39% of patients had a poor outcome at a PRoFiT-NU score between 25% and 50% (intermediate risk), and 63% of patients had a poor outcome at a PRoFiT-NU score above 50% (high risk). CONCLUSIONS:The PRoFiT-NU score is an accurate predictor of poor functional outcome following fracture nonunion repair. LEVEL OF EVIDENCE/METHODS:Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence description of levels of evidence.