A predictive model for increased hospital length of stay following geriatric hip fracture.

BACKGROUND: The purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. MATERIALS AND METHODS: This was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. RESULTS: 614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855). CONCLUSIONS: This study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.

Association Between 6-Week Postdischarge Risk Classification and 12-Month Outcomes After Orthopedic Trauma.

Importance: Numerous studies have demonstrated that long-term outcomes after orthopedic trauma are associated with psychosocial and behavioral health factors evident early in the patient's recovery. Little is known about how to identify clinically actionable subgroups within this population. Objectives: To examine whether risk and protective factors measured at 6 weeks after injury could classify individuals into risk clusters and evaluate whether these clusters explain variations in 12-month outcomes. Design, Setting, and Participants: A prospective observational study was conducted between July 16, 2013, and January 15, 2016, among 352 patients with severe orthopedic injuries at 6 US level I trauma centers. Statistical analysis was conducted from October 9, 2017, to July 13, 2018. Main Outcomes and Measures: At 6 weeks after discharge, patients completed standardized measures for 5 risk factors (pain intensity, depression, posttraumatic stress disorder, alcohol abuse, and tobacco use) and 4 protective factors (resilience, social support, self-efficacy for return to usual activity, and self-efficacy for managing the financial demands of recovery). Latent class analysis was used to classify participants into clusters, which were evaluated against measures of function, depression, posttraumatic stress disorder, and self-rated health collected at 12 months. Results: Among the 352 patients (121 women and 231 men; mean [SD] age, 37.6 [12.5] years), latent class analysis identified 6 distinct patient clusters as the optimal solution. For clinical use, these clusters can be collapsed into 4 groups, sorted from low risk and high protection (best) to high risk and low protection (worst). All outcomes worsened across the 4 clinical groupings. Bayesian analysis shows that the mean Short Musculoskeletal Function Assessment dysfunction scores at 12 months differed by 7.8 points (95% CI, 3.0-12.6) between the best and second groups, by 10.3 points (95% CI, 1.6-20.2) between the second and third groups, and by 18.4 points (95% CI, 7.7-28.0) between the third and worst groups. Conclusions and Relevance: This study demonstrates that during early recovery, patients with orthopedic trauma can be classified into risk and protective clusters that account for a substantial amount of the variance in 12-month functional and health outcomes. Early screening and classification may allow a personalized approach to postsurgical care that conserves resources and targets appropriate levels of care to more patients.

Are Cardiac Complications Associated With Other Adverse Events? A Look at 56,000 Orthopaedic Trauma Patients.

The purpose of this study was to identify those complications for which patients with adverse cardiac events are at risk within the 30-day postoperative period following treatment oforthopaedic trauma cases. This was a retrospective cohort study of orthopaedic trauma patients in the United States between 2006 and 2013. A total of 56,336 patients meeting any one of 89 CPT codes in the American College of Surgeons National Surgical Quality Improvement Program database were used. The main outcome measure was myocardial infarction or cardiac arrest within the 30-day postoperative period. Patients experiencing adverse cardiac events were at a significantly higher risk to have also developed deep surgical site infection, pneumonia, the need for reintubation, pulmonary emboli, a failure to wean off of ventilation, chronic and acute renal failure, urinary tract infection, stroke, deep venous thrombosis, sepsis, and shock. Cardiac complications in orthopaedic trauma patients are relatively uncommon (1.3%); however, cardiac complications are associated with greater risks of other complications, including pneumonia, stroke, and urinary tract infection. (Journal of Surgical Orthopaedic Advances 27(3):198-202, 2018).

Management of Femoral Defects Greater Than 5 cm Following Open Femur Fractures: A 12-Year Retrospective Review.

This study sought to evaluate the outcomes of patients with osseous defects exceeding 5 cm following open femur fractures. Size of the osseous defect, method of internal fixation (plate vs. intramedullary nail), patient demographics, medical comorbidities, and surgical complications were collected. Twenty-seven of the 832 open femur fracture patients had osseous defects exceeding 5 cm. Mean osseous defect size was 8 cm, and each patient had an average of four operations including initial debridement. Average time from injury to bone grafting was 123.7 days. The overall complication rate was 48.1% (n = 13). The most common complications were infection (26.0%, n = 7) and nonunion (41.0%, n = 11). Smoking, diabetes, ASA score, and defect size did not independently increase the risk of a complication. Management of open femur fractures with osseous defects greater than 5 cm is associated with high complication rate, driven primarily by infection and nonunion. (Journal of Surgical Orthopaedic Advances 27(3):203-208, 2018).

Outcomes of Distal Femur Nonunions Treated With a Combined Nail/Plate Construct and Autogenous Bone Grafting.

In this study, we sought to retrospectively evaluate union and infection rates after treatment of distal femur nonunions using a combined nail/plate construct with autogenous bone grafting obtained from the ipsilateral femur using a reamer irrigator aspirator system. Ten (10) patients treated at a Level I trauma center for nonunion of a femoral fracture using a combined nail/plate construct from 2004 to 2014 were included in the study. Union rate and postoperative infection rates were recorded. Mean interval from index surgery to nonunion repair was 12 months (range 4-36 months). Follow-up at 24 months indicated that the entire cohort of 10 patients achieved clinical union and radiographic union based on radiograph union score in tibias (RUST) criteria. Treatment of distal femur nonunions with a combined nail/plate construct and autogenous bone grafting results in a high rate of union with a low complication rate.

Patients at Increased Risk of Major Adverse Events Following Operative Treatment of Distal Radius Fractures: Inpatient versus Outpatient.

Purpose The purpose of this study was to compare complication rates following inpatient versus outpatient distal radius fracture ORIF and identify specific complications that occur at increased rates among inpatients. Methods Using the 2005-2013 ACS-NSQIP, we collected patient demographics, comorbidities, surgical characteristics, and 30-day postoperative complications following isolated ORIF of distal radius fractures. A propensity score matched design using an 8-to-1 "greedy" matching algorithm in a 1:4 ratio of inpatients to outpatients was utilized. Rates of minor, major, and total complications were compared. A multinomial logistic regression model was then used to assess the odds of complications following inpatient surgery. Results Total 4,016 patients were identified, 776 (19.3%) of whom underwent inpatient surgery and 3,240 (80.3%) underwent outpatient surgery. The propensity score matching algorithm yielded a cohort of 629 inpatients who were matched with 2,516 outpatients (1:4 ratio). After propensity score matching, inpatient treatment was associated with increased rates of major and total complications but not with minor complications. There was an increased odds of major complications and total complications following inpatient surgery compared with outpatient surgery. There was no difference in odds of minor complications between groups. Conclusion Inpatient operative treatment of distal radius fractures is associated with significantly increased rates of major and total complications compared with operative treatment as an outpatient. Odds of a major complication are six times higher and odds of total complications are two and a half times higher following inpatient distal radius ORIF compared with outpatient. Quality improvement measures should be specifically targeted to patients undergoing distal radius fracture ORIF in the inpatient setting.

Does Physician Reimbursement Correlate to Risk in Orthopaedic Trauma?

This study investigated whether current Medicare reimbursements for orthopaedic trauma procedures correlate with complications. A total of 18,510 patients representing 33 orthopaedic trauma procedures from 2005 to 2011 were studied. Adverse events and Medicare payments for each orthopaedic trauma procedure were collected. Linear regressions determined correlations between complications and Medicare payments for orthopaedic trauma procedures. A weak correlation between Medicare payments and complications was found for all procedures (r = .399, p = .021). A 1.0% increase in complications was associated with a payment increase of only $100. There were no correlations between complications and reimbursements for upper extremity (p = .878) and lower extremity (p = .713) procedures. A strong correlation (r = .808, p = .015) existed for hip and pelvic fractures, but a 1.1% increase in hip and pelvic complications correlated with only an increase of $100 in reimbursements. This study is the first to show that Medicare payments are not strongly correlated with complications, therefore demonstrating the potential risks of a bundled payment system for orthopaedic trauma surgeons.

Predicting the post-operative length of stay for the orthopaedic trauma patient.

PURPOSE: Length of stay (LOS) is a major driver of cost and quality of care. A bundled payment system makes it essential for orthopaedic surgeons to understand factors that increase a patient's LOS. Yet, minimal data regarding predictors of LOS currently exist. Using the ACS-NSQIP database, this is the first study to identify risk factors for increased LOS for orthopaedic trauma patients and create a personalized LOS calculator. METHODS: All orthopaedic trauma surgery between 2006 and 2013 were identified from the ACS-NSQIP database using CPT codes. Patient demographics, pre-operative comorbidities, anatomic location of injury, and post-operative in-hospital complications were collected. To control for individual patient comorbidities, a negative binomial regression model evaluated hospital LOS after surgery. Betas (ß), were determined for each pre-operative patient characteristic. We selected significant predictors of LOS (p < 0.05) using backwards stepwise elimination. RESULTS: 49,778 orthopaedic trauma patients were included in the analysis. Deep incisional surgical site infections and superficial surgical site infections were associated with the greatest percent change in predicted LOS (ß = 1.2760 and 1.2473, respectively; p < 0.0001 for both). A post-operative LOS risk calculator was developed based on the formula: [Formula: see text]. CONCLUSIONS: Utilizing a large prospective cohort of orthopaedic trauma patients, we created the first personalized LOS calculator based on pre-operative comorbidities, post-operative complications and location of surgery. Future work may assess the use of this calculator and attempt to validate its utility as an accurate model. To improve the quality measures of hospitals, orthopaedists must employ such predictive tools to optimize care and better manage resources.

The risk of deep vein thrombosis in total joint patients compared to orthopaedic trauma patients: Need for new prevention guidelines.

BACKGROUND: The development of Deep Vein Thrombosis (DVT) is a major concern following orthopaedic surgery. No study has yet to compare the rate and risk factors for DVT between total joint and orthopaedic trauma patients. To evaluate if DVT prophylaxis for trauma should differ from total joints, we explored the rate and risk factors for DVT between both cohorts. METHODS: Using a CPT code search from 2005 to 2013 in the ACS-NSQIP database, 150,657 orthopaedic total joint patients and 44,594 orthopaedic trauma patients were identified. DVT complications, patient demographics, preoperative comorbidities, and surgical characteristics were collected for each patient. A chi-squared test was used to compare the risk factors for DVT between orthopaedic trauma and total joint patients. A multivariable logistic regression model was built to adjust for comorbidities for each cohort. RESULTS: The rate of DVT diagnosis in the total joint population was 0.8% (N = 1186) and 0.98% (N = 432) in the orthopaedic trauma population (p = 0.57). After controlling for individual comorbidities, dyspnea, peripheral vascular disease, and renal failure were significant risk factors for DVT in total joint patients (p < 0.05), whereas age, ascites and steroid use were significant risk factors for DVT in orthopaedic trauma patients (p < 0.05). CONCLUSIONS: Historically, the risks for DVT in total joints have been emphasized, yet based on our results, the incidence of DVT is the same for orthopaedic trauma. However, the risk factors varied. It is therefore important to consider specialty-specific DVT prophylaxis for orthopaedic trauma patients in order to improve care and reduce postoperative complications.

Incidence and predictive risk factors of postoperative sepsis in orthopedic trauma patients.

BACKGROUND: Postoperative sepsis is associated with high mortality and the national costs of septicemia exceed those of any other diagnosis. While numerous studies in the basic orthopedic science literature suggest that traumatic injuries facilitate the development of sepsis, it is currently unclear whether orthopedic trauma patients are at increased risk. The purpose of this study was thus to assess the incidence of sepsis and determine the risk factors that significantly predicted septicemia following orthopedic trauma surgery. MATERIALS AND METHODS: 56,336 orthopedic trauma patients treated between 2006 and 2013 were identified in the ACS-NSQIP database. Documentation of postoperative sepsis/septic shock, demographics, surgical variables, and preoperative comorbidities was collected. Chi-squared analyses were used to assess differences in the rates of sepsis between trauma and nontrauma groups. Binary multivariable regressions identified risk factors that significantly predicted the development of postoperative septicemia in orthopedic trauma patients. RESULTS: There was a significant difference in the overall rates of both sepsis and septic shock between orthopedic trauma (1.6%) and nontrauma (0.5%) patients (p < 0.001). For orthopedic trauma patients, ventilator use (OR = 15.1, p = 0.002), history of pain at rest (OR = 2.8, p = 0.036), and prior sepsis (OR = 2.6, p < 0.001) were significantly associated with septicemia. Statistically predictive, modifiable comorbidities included hypertension (OR = 2.1, p = 0.003) and the use of corticosteroids (OR = 2.1, p = 0.016). CONCLUSIONS: There is a significantly greater incidence of postoperative sepsis in the trauma cohort. Clinicians should be aware of these predictive characteristics, may seek to counsel at-risk patients, and should consider addressing modifiable risk factors such as hypertension and corticosteroid use preoperatively. Level of evidence Level III.

The impact of resident involvement on outcomes in orthopedic trauma: An analysis of 20,090 cases.

BACKGROUND: Involvement in patient care is critical in training orthopedic surgery residents for independent practice. As the focus on outcomes and quality measures intensifies, the impact of resident intraoperative involvement on patient outcomes will be increasingly scrutinized. We sought to determine the impact of residents' intraoperative participation on 30-day post-operative outcomes in the orthopedic trauma population. METHODS: A total of 20,090 patients from the American College of Surgeons National Surgical Quality Improvement Program database from 2006 to 2013 were identified. Patient demographics and comorbidities, surgical variables, and 30-day post-operative (wound, minor, and major) complications were collected. Chi-squared and analysis of variance statistical methods were used to compare the 30-day outcomes of patients with and without a resident's intraoperative involvement. RESULTS: Resident involvement had no effect in the incidence of wound and minor complications among all three anatomic sites of orthopedic trauma procedures (hip, lower extremity [LE], and upper extremity [UE]). There was no statistically significant difference in the incidence of major complications in the hip and LE groups. The UE group, however, demonstrated an increase in the rate of major complications (2.60% vs. 1.89%, p = 0.046). There was no difference in mortality or readmission rates. CONCLUSIONS: Resident involvement in orthopedic trauma cases did not significantly impact the 30-day outcomes in nearly all domains. Our findings support continued resident involvement in the care of the orthopedic trauma patient.

American Society of Anesthesiologists Score as a Predictive Tool to Optimize Blood Ordering for Intraoperative Transfusion in Orthopaedic Trauma Cases.

The objective of this study was to determine the clinical factors that are predictors for intraoperative transfusion in orthopaedic trauma patients. A retrospective chart review of patients admitted to a level I trauma center with isolated fractures was conducted. Variables such as gender, height, weight, body mass index, American Society of Anesthesiologists (ASA) classification, and medical comorbidities were assessed to determine likelihood of blood transfusion. A total of 1819 patients with isolated fractures were identified. ASA class was strongly associated with patients receiving intraoperative blood transfusion. For example, compared with patients with an ASA class I, patients with an ASA class IV were 14.71 times more likely to receive transfusion. Patients' ASA class is correlated with the need for intraoperative blood transfusion in patients undergoing orthopaedic surgery for isolated fractures. Institutional or departmental maximum surgical blood order schedule algorithms could use patients' preoperative ASA class to determine whether blood transfusion will be necessary during procedures.

Adverse cardiac events in 56,000 orthopaedic trauma patients: Does anatomic area make a difference?

PURPOSE: Postoperative cardiac events in orthopaedic trauma patients constitute severe morbidity and mortality. It is therefore increasingly important to determine patient risk factors that are predictive of postoperative myocardial infarctions and cardiac arrests. This study sought to assess if there is an association between anatomic area and cardiac complications in the orthopaedic trauma patient. PATIENTS AND METHODS: From 2006-2013, a total of 361,402 orthopaedic patients were identified in the NSQIP database using Current Procedural Terminology (CPT) codes. Of these, 56,336 (15.6%) patients were identified as orthopaedic trauma patients broken down by anatomic region: 11,905 (21.1%) upper extremity patients (UE), 29,009 (51.5%) hip/pelvis patients (HP), and 15,422 (27.4%) lower extremity patients (LE) using CPT codes. Patients were defined as having adverse cardiac events if they developed myocardial infarctions or cardiac arrests within 30days after surgery. Chi-squared analysis was used to determine if there was an association between anatomic area and rates of cardiac events. Multivariate logistical analysis was used with over 40 patient characteristics including age, gender, history of cardiac disease, and anatomic region as independent predictors to determine whether anatomic area significantly predicted the development of cardiac complications. RESULTS: There were significant differences in baseline demographics among the three groups: HP patients had the greatest average age (77.6 years) compared to 54.8 years for UE patients and 54.1 years in LE patients (p<0.001). HP patients also had the highest average ASA score (3.0) (p<0.001). There was a significant difference in adverse cardiac events based on anatomic area: 0.27% (32/11,905) UE patients developed cardiac complications compared to 2.15% (623/29,009) HP patients and 0.61% (94/15,422) LE patients. After multivariate analysis, HP patients were significantly more likely to develop cardiac complications compared to both UE patients (OR: 6.377, p=0.014) and LE patients (OR: 2.766, p=0.009). CONCLUSION: There is a significant difference in adverse cardiac events following orthopaedic trauma based on anatomic region. Hip/Pelvis surgery appeared to be a significant risk factor in developing an adverse cardiac event. Further studies should investigate why hip/pelvic patients are at a higher risk of adverse cardiac events.

Increased risk of adverse events in management of femur and tibial shaft fractures with plating: An analysis of NSQIP data.

BACKGROUND: The management of femoral and tibial shaft fractures has long been among the simplest in orthopaedic trauma. Little data exist on the predictors of complications associated with these fractures. The evolving healthcare system is creating a focus on quality metrics and changing payment models. It is critical that traumatologists develop a better understanding of complication rates associated with these injuries so that they may continue to improve patient care while also reducing overall medical costs. METHODS: Using the ACS-NSQIP database, we evaluated patient demographics, comorbidities and 30-day complications of femoral and tibial fractures. A bivariate analysis was then used to compare rates of minor and major post-operative complications within 30 days. A multivariate logistic regression was performed, assessing the odds of developing a minor and/or major complication up to 30 days post-surgery. RESULTS: 2891 patients were identified. For femoral fractures, intramedullary nailing (IMN) demonstrated an overall complication rate of 14.9% (n = 151) whereas open reduction and internal fixation (ORIF) with plating showed an overall complication rate of 15.6% (n = 70). Patients undergoing plating of the femur or tibia were 2 times more likely than the IMN patients to demonstrate postoperative complications. CONCLUSION: Our study is the first to demonstrate that plating of femoral and tibial fractures doubles the odds of developing a complication. As our healthcare system shifts to bundled payment plans, it is impertinent for the orthopaedic surgeon to understand the risk factors associated with fracture treatments in order to assess the best treatment plan.

Risk Factors for Deep Venous Thrombosis Following Orthopaedic Trauma Surgery: An Analysis of 56,000 patients.

BACKGROUND: Deep venous thrombosis (DVT) and pulmonary embolism (PE) are recognized as major causes of morbidity and mortality in orthopaedic trauma patients. Despite the high incidence of these complications following orthopaedic trauma, there is a paucity of literature investigating the clinical risk factors for DVT in this specific population. As our healthcare system increasingly emphasizes quality measures, it is critical for orthopaedic surgeons to understand the clinical factors that increase the risk of DVT following orthopaedic trauma. OBJECTIVES: Utilizing the ACS-NSQIP database, we sought to determine the incidence and identify independent risk factors for DVT following orthopaedic trauma. PATIENTS AND METHODS: Using current procedural terminology (CPT) codes for orthopaedic trauma procedures, we identified a prospective cohort of patients from the 2006 to 2013 ACS-NSQIP database. Using Wilcoxon-Mann-Whitney and chi-square tests where appropriate, patient demographics, comorbidities, and operative factors were compared between patients who developed a DVT within 30 days of surgery and those who did not. A multivariate logistic regression analysis was conducted to calculate odds ratios (ORs) and identify independent risk factors for DVT. Significance was set at P < 0.05. RESULTS: 56,299 orthopaedic trauma patients were included in the analysis, of which 473 (0.84%) developed a DVT within 30 days. In univariate analysis, twenty-five variables were significantly associated with the development of a DVT, including age (P < 0.0001), BMI (P = 0.037), diabetes (P = 0.01), ASA score (P < 0.0001) and anatomic region injured (P < 0.0001). Multivariate analysis identified several independent risk factors for development of a DVT including use of a ventilator (OR = 43.67, P = 0.039), ascites (OR = 41.61, P = 0.0038), steroid use (OR = 4.00, P < 0.001), and alcohol use (OR = 2.98, P = 0.0370). Compared to patients with upper extremity trauma, those with lower extremity injuries had significantly increased odds of developing a DVT (OR = 7.55, P = 0.006). The trend toward increased odds of DVT among patients with injuries to the hip/pelvis did not reach statistical significance (OR = 4.51, P = 0.22). Smoking was not found to be an independent risk factor for developing a DVT (P = 0.1217). CONCLUSIONS: This is the largest study to date using the NSQIP database to identify risk factors for DVT in orthopaedic trauma patients. Although the incidence of DVT was low in our cohort, the presence of certain risk factors significantly increased the odds of developing a DVT following orthopaedic trauma. These findings will enable orthopaedic surgeons to target at-risk patients and implement post-operative care protocols aimed at reducing the morbidity and mortality associated with DVT in orthopaedic trauma patients.

Predictors of Adverse Events for Ankle Fractures: An Analysis of 6800 Patients.

Ankle fractures are one of the most common injuries seen by orthopedic surgeons. It is therefore essential to understand the risks associated with their treatment. Using the American College of Surgeons National Surgical Quality Improvement Program(®) database from 2006 to 2013, the patient demographics, comorbidities, and 30-day complications were collected for 5 types of ankle fractures. A bivariate analysis was used to compare the patient demographics, comorbidities, and complications across all Common Procedural Terminology codes. A multivariable logistic regression model was then used to assess the odds of minor and major postoperative complications within 30 days after open treatment. A total of 6865 patients were included in the analysis. Of these patients, 2507 (36.5%) had bimalleolar ankle fractures. The overall rate of adverse events for ankle fractures was low. Bimalleolar fractures had the greatest rate of major (2.6%, n = 64), minor (3.8%, n = 94), and total (5.7%, n = 143) complications. When controlling for individual patient characteristics, bimalleolar fractures were associated with 4.92 times the odds (95% confidence interval 1.80 to 13.5; p = .002) of developing a complication compared with those with a medial malleolar fracture. The risk factors driving postoperative complications for all ankle fractures were age >65 years, obesity, diabetes, American Society of Anesthesiologists score >2, and functional status (p < .05). Although the overall rate of adverse events for ankle fractures was low, bimalleolar fractures were associated with 5 times the odds of developing a complication compared with medial malleolar fractures. Orthopedic surgeons must be aware of the risk factors that increase the rate of ankle fracture complications to improve patients' quality of care.

Pre-operative labs: Wasted dollars or predictors of post-operative cardiac and septic events in orthopaedic trauma patients?

PURPOSE: As US healthcare expenditures continue to rise, there is significant pressure to reduce the cost of inpatient medical services. Studies have estimated that over 70% of routine labs may not yield clinical benefits while adding over $300 in costs per day for every inpatient. Although orthopaedic trauma patients tend to have longer inpatient stays and hip fractures have been associated with significant morbidity, there is a dearth of data examining pre-operative labs in predicting post-operative adverse events in these populations. The purpose of this study was to assess whether pre-operative labs significantly predict post-operative cardiac and septic complications in orthopaedic trauma and hip fracture patients. METHODS: Between 2006 and 2013, 56,336 (15.6%) orthopaedic trauma patients were identified and 27,441 patients (7.6%) were diagnosed with hip fractures. Pre-operative labs included sodium, BUN, creatinine, albumin, bilirubin, SGOT, alkaline phosphatase, white count, hematocrit, platelet count, prothrombin time, INR, and partial thromboplastin time. For each of these labs, patients were deemed to have normal or abnormal values. Patients were noted to have developed cardiac or septic complications if they sustained (1) myocardial infarction (MI), (2) cardiac arrest, or (3) septic shock within 30 days after surgery. Separate regressions incorporating over 40 patient characteristics including age, gender, pre-operative comorbidities, and labs were performed for orthopaedic trauma patients in order to determine whether pre-operative labs predicted adverse cardiac or septic outcomes. RESULTS: 749 (1.3%) orthopaedic trauma patients developed cardiac complications and 311 (0.6%) developed septic shock. Multivariate regression demonstrated that abnormal pre-operative platelet values were significantly predictive of post-operative cardiac arrest (OR: 11.107, p=0.036), and abnormal bilirubin levels were predictive (OR: 8.487, p=0.008) of the development of septic shock in trauma patients. In the hip fracture cohort, abnormal partial thromboplastin time was significantly associated with post-operative myocardial infarction (OR: 15.083, p=0.046), and abnormal bilirubin (OR: 58.674, p=0.002) significantly predicted the onset of septic shock. CONCLUSIONS: This is the first study to demonstrate the utility of pre-operative labs in predicting perioperative cardiac and septic adverse events in orthopaedic trauma and hip fracture patients. Particular attention should be paid to haematologic/coagulation labs (platelets, PTT) and bilirubin values. LEVEL OF EVIDENCE: Prognostic Level II.

Outcomes of Distal Femur Nonunions Treated with a Combined Nail/Plate Construct and Autogenous Bone Grafting.

SummaryIn this study, we sought to retrospectively evaluate union and infection rates after treatment of distal femur nonunions using a combined nail/plate construct with autogenous bone grafting. 10 patients treated at a Level I Trauma Center for nonunion of a femoral fracture using a combined nail/plate construct from 2004 to 2014 were included in the study. Union rate and postoperative infection rate were recorded.10 patients underwent treatment for nonunion of the distal femur. Mean interval from index surgery to nonunion repair was 12 months (range 4-36 months). All 10 patients achieved union at an average of 3.9 months (range 2.3-8 months) after initial nonunion repair. Treatment of distal femur nonunions with a combined nail/plate construct and autogenous bone grafting results in a high rate of union with a low complication rate. This technique combines two straightforward procedures familiar to orthopaedic trauma surgeons and offers distinct advantages including: availability of adequate bone graft volume, absence of donor site morbidity, and increased construct stability that may permit earlier weight-bearing.

Does Admission to Medicine or Orthopaedics Impact a Geriatric Hip Patient's Hospital Length of Stay?

OBJECTIVES: The aim of our study was to determine the association between admitting service, medicine or orthopaedics, and length of stay (LOS) for a geriatric hip fracture patient. DESIGN: Retrospective. SETTING: Urban level 1 trauma center. PATIENTS/PARTICIPANTS: Six hundred fourteen geriatric hip fracture patients from 2000 to 2009. INTERVENTIONS: Orthopaedic surgery for geriatric hip fracture. MAIN OUTCOME MEASUREMENTS: Patient demographics, medical comorbidities, hospitalization length, and admitting service. Negative binomial regression used to determine association between LOS and admitting service. RESULTS: Six hundred fourteen geriatric hip fracture patients were included in the analysis, of whom 49.2% of patients (n = 302) were admitted to the orthopaedic service and 50.8% (3 = 312) to the medicine service. The median LOS for patients admitted to orthopaedics was 4.5 days compared with 7 days for patients admitted to medicine (P < 0.0001). Readmission was also significantly higher for patients admitted to medicine (n = 92, 29.8%) than for those admitted to orthopaedics (n = 70, 23.1%). After controlling for important patient factors, it was determined that medicine patients are expected to stay about 1.5 times (incidence rate ratio: 1.48, P < 0.0001) longer in the hospital than orthopaedic patients. CONCLUSIONS: This is the largest study to demonstrate that admission to the medicine service compared with the orthopaedic service increases a geriatric hip fractures patient's expected LOS. Since LOS is a major driver of cost as well as a measure of quality care, it is important to understand the factors that lead to a longer hospital stay to better allocate hospital resources. Based on the results from our institution, orthopaedic surgeons should be aware that admission to medicine might increase a patient's expected LOS. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Risk factors for adverse cardiac events in hip fracture patients: an analysis of NSQIP data.

PURPOSE: Cardiovascular complications constitute morbidity and mortality for hip fracture patients. Relatively little data exist exploring risk factors for post-operative complications. Using the American College of Surgeons National Surgical Quality Improvement (ACS-NSQIP) database, we identified significant risk factors associated with adverse cardiac events in hip fracture patients and provide recommendations for practising orthopaedists. METHODS: A cohort of 27,441 patients with hip fractures from 2006 to 2013 was identified using Current Procedural Terminology codes. Cardiac complications were defined as cardiac arrests or myocardial infarctions occurring within 30 days after surgery. Bivariate analysis was run on over 30 patient and surgical factors to determine significant associations with cardiac events. Multivariate logistical analysis was then performed to determine risk factors most predictive for cardiac events. RESULTS: Of the 27,441 hip fracture patients, 594 (2.2%) had cardiac complications within 30 days post-operatively. There was no significant association with respect to type of hip fracture surgery and adverse cardiac event rates (p = 0.545). After multivariate analysis, dialysis use (OR: 2.22, p = 0.026), and histories of peripheral vascular disease (OR: 2.11, p = 0.016), stroke (OR: 1.83, p = 0.009), COPD (OR: 1.69, p = 0.014), and cardiac disease (OR: 1.55, p = 0.017) were significantly predictive of post-operative cardiac events in all hip fracture patients. CONCLUSION: Orthopaedic trauma surgeons should be aware of cardiac disease history and atherosclerotic conditions (PVD, stroke) in risk stratifying patients to prevent cardiac complications. Our recommendations to reduce cardiac events include simple pre-operative lab-work to full-fledged cardiac work-up and referrals to specific medicine disciplines based on the specific risk factors present.