Development of Seizures Following Traumatic Brain Injury: A Retrospective Study.

Objectives: The multifaceted impact of Traumatic brain injury (TBI) encompasses complex healthcare costs and diverse health complications, including the emergence of Post-Traumatic Seizures (PTS). In this study, our goal was to discern and elucidate the incidence and risk factors implicated in the pathogenesis of PTS. We hypothesize that the development of PTS following TBI varies based on the type and severity of TBI. Methods: Our study leveraged the Nationwide Inpatient Sample (NIS) to review primary TBI cases spanning 2016-2020 in the United States. Admissions featuring the concurrent development of seizures during the admission were queried. The demographic variables, concomitant diagnoses, TBI subtypes, hospital charges, hospital length of stay (LOS), and mortality were analyzed. Results: The aggregate profile of TBI patients delineated a mean age of 61.75 (±23.8) years, a male preponderance (60%), and a predominantly White demographic (71%). Intriguingly, patients who encountered PTS showcased extended LOS (7.5 ± 9.99 vs. 6.87 ± 10.98 days, p < 0.001). Paradoxically, PTS exhibited a reduced overall in-hospital mortality (6% vs. 8.1%, p < 0.001). Notably, among various TBI subtypes, traumatic subdural hematoma (SDH) emerged as a predictive factor for heightened seizure development (OR 1.38 [1.32-1.43], p < 0.001). Conclusions: This rigorous investigation employing an extensive national database unveils a 4.95% incidence of PTS, with SDH accentuating odds of seizure risk by OR: 1.38 ([1.32-1.43], p < 0.001). The paradoxical correlation between lower mortality and PTS is expected to be multifactorial and necessitates further exploration. Early seizure prophylaxis, prompt monitoring, and equitable healthcare provision remain pivotal avenues for curbing seizure incidence and comprehending intricate mortality trends.

Computer Assisted Navigation Does Not Improve Outcomes in Posterior Fusion for Adolescent Idiopathic Scoliosis.

STUDY DESIGN: Retrospective Cohort Study. OBJECTIVE: The aim of this study was to compare the efficacy of CT-based computer assisted navigation (CAN) to conventional pedicle screw placement for patients with Adolescent Idiopathic Scoliosis (AIS). METHODS: This retrospective cohort study drew data from the National Readmissions Database, years 2016-2019. Patients undergoing posterior fusion for AIS, either via CAN or fluoroscopic-guided procedures, were identified via ICD-10 codes. Multivariate regression was performed to compare outcomes between operative techniques. Negative binomial regression was used to asses discharge disposition, while Gamma regression was performed to assess length of stay (LOS) and total charges. Patient demographics and comorbidities, measured via the Elixhauser comorbidity index, were both controlled for in our regression analysis. RESULTS: 28,868 patients, 2095 (7.3%) undergoing a CAN procedure, were included in our analysis. Patients undergoing CAN procedures had increased surgical complications (Odds Ratio (OR) 2.23; P < 0.001), namely, blood transfusions (OR 2.47; P < 0.001). Discharge disposition and LOS were similar, as were reoperation and readmission rates; however, total charges were significantly greater in the CAN group (OR 1.37; P < 0.001). Mean charges were 191,489.42 (119,302.30) USD for conventional surgery vs 268 589.86 (105,636.78) USD for the CAN cohort. CONCLUSION: CAN in posterior fusion for AIS does not appear to decrease postoperative complications and is associated with an increased need for blood transfusions. Given the much higher total cost of care that was also seen with CAN, this study calls into question whether the use of CAN is justified in this setting.

Aspirin in prevention of venous thromboembolism following hip fracture surgery: A systematic review and meta-analysis.

Background: Many orthopaedic surgeons routinely prescribe aspirin (ASA) as prophylaxis for venous thromboembolism (VTE) following hip fracture surgery (HFS). The purpose of this study is to assess the effectiveness of aspirin to other agents in preventing VTE and mortality following hip fracture surgery. Methods: Following PRISMA guidelines, we performed a search for HFS studies from 1998 to 2023 reporting comparisons between aspirin and other chemoprophylaxis methods for VTE (DVT - deep vein thrombosis; PE - pulmonary embolism). SPSS Meta-analysis function was used to calculate Mean Effect Size Estimate (MESE) and 95 % Confidence Intervals for each outcome. Reverse Fragility Index (RFI) and Fragility Quotient (FQ) were calculated for each study. Results: Of the 847 articles screened, 4 studies with 5 comparisons met the search criteria to be included for analysis. A total of 1194 participants were included in these studies. There was a decreased risk of mortality seen with use of aspirin compared to other agents (MESE = 0.86, 95 % CI: [0.07-1.66]; p=.03). There was no increased risk of DVT or PE with use of aspirin (both p>.4). The overall RFI and FQ for all 19 outcomes were 12 (IQR: 6.5-15) and 0.080 (IQR: 0.027-0.110), respectively. Ten studies (52.6 %) reported a loss-to-follow-up (LTF) greater than the overall RFI. Conclusions: Aspirin demonstrates similar protective effects on prevention of VTE compared to other agents and may have significant protective effects on overall mortality following surgical intervention for hip fractures. However, the current evidence concerning its use in this arena is less than robust, with more than half of the studied outcomes considered statistically fragile.

Robot-Assisted Total Hip Arthroplasty is Associated With an Increased Risk of Periprosthetic Fracture.

BACKGROUND: Total hip arthroplasty (THA) aims to restore joint function and relieve pain. New technology, such as robot assistance, offers the potential to reduce human error, improve precision, and improve postoperative outcomes. The aim of this study was to compare outcomes between conventional and robot-assisted THA. METHODS: This is a retrospective cohort study utilizing a national database from 2016 to 2019. Patients undergoing THA, conventional or robot-assisted, were identified via the International Classification of Diseases, Tenth Revision code. Multivariate regressions were performed to assess outcomes between groups. Negative binomial regressions were performed to assess discharge disposition, readmission, and reoperation. Gamma regressions with log-link were used to assess total charges and lengths of hospital stays. Patient demographics and comorbidities, measured via the Elixhauser comorbidity index, were controlled for in our analyses. A total of 1,216,395 patients undergoing THA, 18,417 (1.51%) with robotic assistance, were identified. RESULTS: Patients undergoing robot-assisted procedures had increased surgical complications (odds ratio [OR] 1.31 [95% confidence interval [CI] 1.14 to 1.53]; P < .001), including periprosthetic fracture (OR 1.63 [95% CI 1.35 to 1.98]; P < .001). Notably, these patients also had significantly greater total charges (OR 1.20 [95% CI 1.11 to 1.30]; P < .001). CONCLUSIONS: Robotic assistance in THA is associated with an increased risk of surgical complications, including periprosthetic fracture, while incurring greater charges. STUDY DESIGN: Level III; Retrospective Cohort Study.

Evaluation of a Large Language Model's Ability to Assist in an Orthopedic Hand Clinic.

BACKGROUND: Advancements in artificial intelligence technology, such as OpenAI's large language model, ChatGPT, could transform medicine through applications in a clinical setting. This study aimed to assess the utility of ChatGPT as a clinical assistant in an orthopedic hand clinic. METHODS: Nine clinical vignettes, describing various common and uncommon hand pathologies, were constructed and reviewed by 4 fellowship-trained orthopedic hand surgeons and an orthopedic resident. ChatGPT was given these vignettes and asked to generate a differential diagnosis, potential workup plan, and provide treatment options for its top differential. Responses were graded for accuracy and the overall utility scored on a 5-point Likert scale. RESULTS: The diagnostic accuracy of ChatGPT was 7 out of 9 cases, indicating an overall accuracy rate of 78%. ChatGPT was less reliable with more complex pathologies and failed to identify an intentionally incorrect presentation. ChatGPT received a score of 3.8 ± 1.4 for correct diagnosis, 3.4 ± 1.4 for helpfulness in guiding patient management, 4.1 ± 1.0 for appropriate workup for the actual diagnosis, 4.3 ± 0.8 for an appropriate recommended treatment plan for the diagnosis, and 4.4 ± 0.8 for the helpfulness of treatment options in managing patients. CONCLUSION: ChatGPT was successful in diagnosing most of the conditions; however, the overall utility of its advice was variable. While it performed well in recommending treatments, it faced difficulties in providing appropriate diagnoses for uncommon pathologies. In addition, it failed to identify an obvious error in presenting pathology.

Risk Factors for Leaving Against Medical Advice in Patients Admitted for Upper Extremity Orthopedic Procedures.

INTRODUCTION: Patients who leave against medical advice (AMA) face increased risks of negative health outcomes, presenting a challenge for healthcare systems. This study examines demographic and hospital course factors associated with patients leaving AMA after an upper extremity (UE) orthopaedic procedure. METHODS: We analyzed 262,912 patients who underwent UE orthopaedic procedures between 2011 and 2020, using the Healthcare Cost and Utilization Project database. We then compared demographic and hospital course factors between patients who left AMA and those who did not leave AMA. RESULTS: Of 262,912 UE orthopaedic patients, 0.45% (1,173) left AMA. Those more likely to leave AMA were aged 30 to 49 (OR, 5.953, P < 0.001), Black (OR, 1.708, P < 0.001), had Medicaid (OR, 3.436, P < 0.001), and were in the 1st to 25th income percentile (OR, 1.657, P < 0.001). Female patients were less likely to leave AMA than male patients (OR, 0.647, P < 0.001). Patients leaving AMA had longer stays (3.626 versus 2.363 days, P < 0.001) and longer recovery times (2.733 versus 1.977, P < 0.001). CONCLUSION: We found that male, Black, younger than 49 years old, Medicaid-insured, and lowest income quartile patients are more likely to leave AMA after UE orthopaedic treatment.

Decade-long Trends in Incidence of Slipped Capital Femoral Epiphysis in the United States: A Nationwide Database Analysis of Over 33 Million Patients.

PURPOSE: Slipped capital femoral epiphysis (SCFE) is a prevalent pediatric hip disorder linked to severe complications, with childhood obesity as a crucial risk factor. Despite the rising obesity rates, contemporary data on SCFE's epidemiology remain scarce in the United States. This study examined SCFE incidence trends and demographic risk factors in the United States over a decade. METHODS: A decade-long (2011 to 2020) retrospective cohort study was undertaken using the Healthcare Cost and Utilization Project National Inpatient Sample. Patients aged younger than 18 years were identified and further analyzed if diagnosed with SCFE through ICD-9 or ICD-10 codes. Key metrics included demographics variables, with multivariate regression assessing demographic factors tied to SCFE, and yearly incidence calculated. RESULTS: Of 33,180,028 pediatric patients, 11,738 (0.04%) were diagnosed with SCFE. The incidence escalated from 2.46 to 5.96 per 10,000 children, from 2011 to 2020, mirroring childhood obesity trends. Lower socioeconomic status children were predominantly affected. Multivariate analysis revealed reduced SCFE risk in female patients, while Black and Hispanic ethnicities, alongside the Western geographic location, had an increased risk. CONCLUSION: This study underscores a twofold increase in SCFE incidence over the past decade, aligning with childhood obesity upsurge. Moreover, SCFE disproportionately affects lower SES children, with male sex, Black and Hispanic ethnicities amplifying the risk. This calls for targeted interventions to mitigate SCFE's effect, especially amidst the vulnerable populations.

Effective Risk Assessment for Distal Radius Fractures: A Rigorous Multivariable Regression Analysis, Using a Novel 8-Item Modified Frailty Index.

Introduction Distal radius fractures (DRFs) are among the most common orthopaedic injuries. The prevalence of DRFs is increasing across all age groups but remains the second most common fracture in the elderly. The modified frailty index (MFI) often predicts morbidity and mortality in orthopaedic injuries. This study aims to determine the predictive value of MFI on complication rates following DRF and the patient length of stay and discharge outcomes. Methods We utilized our MFI to perform a retrospective analysis of the American College of Surgeons National Surgical Quality Improvement Program database. Results In a total of 22,313 patients, the average age was 46 ± 16. An increase in MFI led to an increase in the odds ratio of readmission and reoperation ( p < 0.001). MFI predicted complications, doubling the rate as the score increased from 1 to 2 ( p < 0.001). An MFI of 2 also led to a delayed hospital stay of 5 days ( p < 0.001), as well as an increase in the odds of patients not being sent home at discharge ( p < 0.001). Finally, life-threatening complications were also predicted with an increased MFI, the odds of a life-threatening complication increasing 488.20 times at an MFI of 3 ( p < 0.001). Discussion and Conclusion While surgical decision-making for frail patients with DRFs remains contentious, this novel 8-item MFI score was significantly associated with the probability of hospital readmission/reoperation, postoperative complications, and delayed hospital length of stay. Three new parameters were incorporated into our 8-item score compared with the conventional 5; hypoalbuminemia status (< 3.5 mg/dL), previous diagnosis of osteoporosis, and severe obesity (body mass index > 35) enhancing its sensitivity. Future studies are warranted for its prospective utility in ruling out postsurgical comorbidity.

The Impact of Cardiac Arrhythmias on Total Knee Arthroplasty Outcomes.

BACKGROUND: Cardiac comorbidities are common in patients undergoing total knee arthroplasty (TKA). While there is an abundance of research showing an association between cardiac abnormalities and poor postoperative outcomes, relatively little is published on specific pathologies. The aim of this study was to assess the impact of cardiac arrhythmias on postoperative outcomes in the setting of TKA. METHODS: This retrospective cohort study included all patients undergoing TKA from a national database, from 2016 to 2019. Patients who had cardiac arrhythmias were identified via International Classification of Diseases, Tenth Revision, and Clinical Modification/Procedure Coding System codes and served as the cohort of interest. Multivariate regression was performed to compare postoperative outcomes. Gamma regression was performed to assess length of stay and total charges, while negative binomial regression was used to assess 30-day readmission and reoperation. Patient demographic variables and comorbidities, measured via the Elixhauser comorbidity index, were controlled in our regression analysis. Out of a total of 1,906,670 patients, 224,434 (11.76%) had a diagnosed arrhythmia and were included in our analyses. RESULTS: Those who had arrhythmias had greater odds of both medical (odds ratio [OR] 1.52; P < .001) and surgical complications (OR 2.27; P < .001). They also had greater readmission (OR 2.49; P < .001) and reoperation (OR 1.93; P < .001) within 30 days, longer hospital stays (OR 1.07; P < .001), and greater total charges (OR 1.02; P < .001). CONCLUSIONS: Cardiac arrhythmia is a common comorbidity in the TKA population and is associated with worse postoperative outcomes. Patients who had arrhythmias had greater odds of both medical and surgical complications requiring readmission or reoperation. STUDY DESIGN: Level III; Retrospective Cohort Study.

A modified frailty index predicts complication, readmission, and 30-day mortality following the revision total hip arthroplasty.

INTRODUCTION: This study aimed to develop a modified frailty index (MFI) to predict the risks of revision total hip arthroplasty (THA). METHODS: Data from the American College of Surgeons - National Surgical Quality Improvement Program were analyzed for patients who underwent revision THA from 2015 to 2020. An MFI was composed of the risk factors, including severe obesity (body mass index > 35), osteoporosis, non-independent function status prior to surgery, congestive heart failure within 30 days of surgery, hypoalbuminemia (serum albumin < 3.5), hypertension requiring medication, type 1 or type 2 diabetes, and a history of chronic obstructive pulmonary disease or pneumonia. The patients were assigned based on the MFI scores (MFI0, no risk factor; MFI1, 1-2 risk factors; MFI2, 3-4 risk factors; and MFI3, 5+ risk factors). Confidence intervals were set at 95% with a P value less than or equal to 0.05 considered statistically significant. RESULTS: A total of 17,868 patients (45% male, 55% female) were included and had an average age of 68.5 ± 11.5 years. Odds of any complication, when compared to MFI0, were 1.4 (95% CI [1.3, 1.6]) times greater for MFI1, 3.2 (95% CI [2.8, 3.6]) times greater for MFI2, and 10.8 (95% CI [5.8, 20.0]) times greater for MFI3 (P < 0.001). Odds of readmission, when compared to MFI0, were 1.4 (95% CI [1.3, 1.7]) times greater for MFI1, 2.5 (95% CI [2.1, 3.0]) times greater for MFI2, and 4.1 (95% CI [2.2, 7.8]) times greater for MFI3 (P < 0.001). CONCLUSION: Increasing MFI scores correlate with increased odds of complication and readmission in patients who have undergone revision THA. This MFI may be used to predict the risks after revision THA.