Orthopedics最新文献

Background: This retrospective study investigated the impact of continuing vs discontinuing home oral hypoglycemic medications for patients with diabetes undergoing total hip arthroplasty.

Materials and methods: Patients who were not exclusively receiving home oral hypoglycemic regimens were excluded. Additionally, patients whose diabetes was not managed inpatient postoperatively were excluded. Included patients were retrospectively evaluated for early postoperative glycemic control, renal function, and metabolic abnormalities. Patients were then compared based on whether their home oral hypoglycemic regimen was continued vs discontinued in favor of initiating insulin while inpatient and analyzed using multivariable regression analysis.

Results: A total of 532 patients undergoing total hip arthroplasty met inclusion criteria, with 78.6% continuing their home oral hypoglycemic regimen. Those who continued showed significantly lower median maximum inpatient blood glucose (178.5 mg/dL vs 249.5 mg/dL; P<.001) and median average inpatient blood glucose (138.4 mg/dL vs 178.6 mg/dL; P<.001). Linear regression analysis, adjusting for various potential confounding factors, revealed a positive correlation between discontinuation of home hypoglycemic medications and higher maximum in-patient blood glucose (β=70.15 [95% CI, 59.27-81.03]; P<.001). Patients in the continuation group had lower proportions of acute kidney injury (18.7% vs 41.2%; P<.001) and metabolic acidosis (4.3% vs 17.5%; P<.001), along with a shorter length of stay (1.0 vs 2.0 days; P<.001).

Conclusion: These findings suggest that continuing a home oral hypoglycemic regimen for patients with diabetes after total hip arthroplasty is associated with superior glycemic control without exacerbating renal abnormalities or increasing metabolic complications. [Orthopedics. 2024;47(5):276-282.].

Background: Disparities in orthopedic trauma care have been reported for racial-ethnic minority and socially disadvantaged patients. We examined differences in perioperative metrics by patient race and ethnicity and insurance after pelvic fracture in a national sample in the United States.

Materials and methods: The 2016-2019 National Inpatient Sample was queried for White, Black, and Hispanic patients 18 to 64 years old with private, Medicaid, or self-pay insurance who underwent non-elective pelvic fracture surgery. Associations between combined race and ethnicity and insurance subgroups and perioperative metrics (time to surgery, length of stay, inhospital complications, institutional discharge) were assessed using multivariable generalized linear and logistic regression models. Adjusted percent differences or odds ratios (ORs) were reported.

Results: A weighted total of 14,375 surgeries were included (68.8% in White patients, 16.1% in Black patients, and 15.1% in Hispanic patients; 60.0% private insurance, 26.3% Medicaid, and 13.7% self-pay). Compared with White patients with private insurance, all Black insurance subgroups had longer length of stay (+15.38% to +38.78%, P≤.001), as did Hispanic patients with Medicaid (+28.03%, P<.001), White patients with Medicaid (+13.08%, P<.001), and White patients with self-pay (+9.47%, P=.04). Additionally, compared with White patients with private insurance, decreased odds of institutional discharge were observed for all patients with self-pay (OR, 0.24-0.37, P<.001) as well as White patients with Medicaid (OR, 0.70, P=.003) and Hispanic patients with Medicaid (OR, 0.57, P=.002). There were no significant adjusted associations between race and ethnicity and insurance subgroups and in-hospital complications or time to surgery.

Conclusion: These differences in perioperative metrics, primarily for Black patients and patients with self-pay insurance, warrant further examination to identify whether they reflect disparities that should be addressed to promote equitable orthopedic trauma care. [Orthopedics. 2024;47(5):e233-e240.].

Background: Optimizing operating room (OR) scheduling accuracy is important for improving OR efficiency and maximizing value of total knee arthroplasty (TKA). However, data on factors that may impact TKA OR scheduling accuracy are limited.

Materials and methods: A retrospective review of 7655 knee arthroplasties (6999 primary TKAs and 656 revision TKAs) performed between January 2020 and May 2023 was conducted. Patient baseline characteristics, surgeon experience (years in practice), as well as actual vs scheduled OR times were collected. Actual OR times that were at least 15% shorter or longer than scheduled OR times were considered to be clinically important. Logistic regression analyses were employed to assess the influence of specific patient and surgeon factors on OR scheduling inaccuracies.

Results: Using adjusted odds ratio, patients with primary TKA who had a lower body mass index (P<.001) were independently associated with overestimation of scheduled surgical time. Conversely, younger age (P<.001), afternoon procedure start time (P<.001), surgeons with less than 10 years of experience (P=.037), and higher patient body mass index (P<.001) were associated with underestimation of scheduled surgical time. For revision TKA, female sex (P=.021) and morning procedure start time (P=.038) were associated with overestimation of scheduled surgical time, while surgeons with less than 10 years of experience (P=.014) and patients who underwent spinal/epidural/block anesthesia (P=.038) were associated with underestimation of scheduled surgical time.

Conclusion: This study highlights patient, surgeon, and intraoperative variables that impact the accuracy of scheduling for TKA procedures. Health systems should take these variables into consideration when creating OR schedules to fully optimize resources and available space. [Orthopedics. 2024;47(5):313-319.].

Background: Approximately 15% of patients who undergo total shoulder arthroplasty (TSA) have diabetes mellitus, and this group is particularly at risk for perioperative complications. The objective of this study was to quantify the effects of insulin dependence on the risk of 30-day perioperative adverse events after TSA in patients with diabetes mellitus using a large national database.

Materials and methods: We retrospectively identified patients with diabetes mellitus who underwent TSA in the National Surgical Quality Improvement Program (NSQIP) database from 2011 to 2020. Patients were grouped as having insulin-dependent or non-insulin-dependent diabetes mellitus. The primary outcome was 30-day complication, and secondary outcome variables included 30-day readmission, reoperation, and death. Multivariable logistic regression analyses adjusted for baseline differences were performed. The cohort included 5888 patients with diabetes mellitus who underwent TSA, with 1705 patients in the insulin-dependent group and 4183 patients in the non-insulin-dependent group.

Results: The 30-day postoperative complication rate was higher in patients with insulin-dependent diabetes mellitus (8.7%) than in patients with non-insulin-dependent diabetes mellitus (5.6%). The 30-day hospital readmission rate was higher in patients with insulin-dependent diabetes mellitus (4.8%) than in patients with non-insulin-dependent diabetes mellitus (3.3%). These significant differences in complication and readmission rates persisted in the multivariable logistic regression analyses after adjusting for baseline differences between the two groups. Reoperation and death were not associated with insulin dependence.

Conclusion: Patients with insulin-dependent diabetes mellitus have higher odds of episode-of-care complication and readmission compared with patients with non-insulin-dependent diabetes mellitus, even after adjusting for between-group baseline differences. [Orthopedics. 2024;47(5):295-300.].

Background: This study focused on using deep learning neural networks to classify the severity of osteoarthritis in the knee. A continuous regression score of osteoarthritis severity has yet to be explored using artificial intelligence machine learning, which could offer a more nuanced assessment of osteoarthritis.

Materials and methods: This study used 8260 radiographic images from The Osteoarthritis Initiative to develop and assess four neural network models (VGG16, EfficientNetV2 small, ResNet34, and DenseNet196). Each model generated a regressor score of the osteoarthritis severity based on Kellgren-Lawrence grading scale criteria. Primary performance outcomes assessed were area under the curve (AUC), accuracy, and mean absolute error (MAE) for each model. Secondary outcomes evaluated were precision, recall, and F-1 score.

Results: The EfficientNet model architecture yielded the strongest AUC (0.83), accuracy (71%), and MAE (0.42) compared with VGG16 (AUC: 0.74; accuracy: 57%; MAE: 0.54), ResNet34 (AUC: 0.76; accuracy: 60%; MAE: 0.53), and DenseNet196 (AUC: 0.78; accuracy: 62%; MAE: 0.49).

Conclusion: Convolutional neural networks offer an automated and accurate way to quickly assess and diagnose knee radiographs for osteoarthritis. The regression score models evaluated in this study demonstrated superior AUC, accuracy, and MAE compared with standard convolutional neural network models. The EfficientNet model exhibited the best overall performance, including the highest AUC (0.83) noted in the literature. The artificial intelligence-generated regressor exhibits a finer progression of knee osteoarthritis by quantifying severity of various hallmark features. Potential applications for this technology include its use as a screening tool in determining patient suitability for orthopedic referral. [Orthopedics. 2024;47(5):e247-e254.].

Background: Hip fractures constitute a major public health problem for older individuals. They are associated with functional deterioration, limited mobility, and increased mortality, while contributing to economic and social hardships that are compounded by a second hip fracture. With the aging US population and increasing rates of hip fractures, it is essential to understand factors surrounding subsequent contralateral hip fractures.

Materials and methods: This descriptive study was a retrospective review of patients 60 years and older who were identified in the institutional geriatric hip fracture database as having had an initial and subsequent contralateral hip fracture, with the second treated at our tertiary referral center.

Results: The incidence of subsequent hip fracture was 13.2%. The mean time to second hip fracture was 3.5 years after the initial injury. The first fracture tended to be a femoral neck fracture, whereas the second injury was more likely to have an intertrochanteric pattern. There was a higher complication rate after a subsequent hip fracture. Patients taking osteoporosis and adjuvant medication prior to admission for the second fracture tended to have a lower 90-day mortality rate. Patients with a history of any fracture prior to the first hip fracture, with cancer, and with osteopenia had shorter intervals to the subsequent event.

Conclusion: Subsequent hip fractures carry high morbidity and mortality rates. Steps should be taken after the initial injury to optimize outcomes in the case of a subsequent event. Patients discharged after initial hip fracture should be maintained with osteoporosis medication. [Orthopedics. 2024;47(5):264-269.].

Extensor mechanism (EM) disruption after total knee arthroplasty (TKA) is devastating, especially in cases of re-rupture. A 67-year-old man with diabetes had patellar tendon rupture after revision TKA and then had migration of the bone block after Achilles tendon allograft with bone block (ATBB) augmentation with cerclage. A third reconstruction was performed with open reduction and internal fixation and high-strength braided suture augmentation. Five months postoperatively, the patient had regained full range of motion with intact EM and hardware. The risk of re-rupture is high in ATBB, and the primary issues in this case were nonunion and tendinous compromise. A construct that encompasses compression and buttressing of the bone block with tendon augmentation potentially addresses the risks of recurrent EM rupture in more complex cases. [Orthopedics. 2024;47(5):e273-e276.].

Background: Altmetric Attention Score (AAS) captures online attention received by a research article in addition to traditional bibliometrics. We present a comprehensive bibliometric analysis of high AAS articles and identify predictors of AAS in orthopedics.

Materials and methods: The top 30 articles with highest AAS were selected from orthopedic journals using the Dimensions App. Multilevel mixed-effects linear regression was used to address clustering in articles from the same journal, with journals as the leveling variable.

Results: A total of 750 articles from 25 journals were included. In the final multivariable model, the funding source (none, industry, government, foundation, university, or multiple), findings (positive, negative, neutral, or not applicable), and the journal's impact factor were significant at P<.05.

Conclusion: Predictors of AAS are similar to predictors of traditional bibliometrics. Future studies need prospective dynamic data to further elucidate the AAS. [Orthopedics. 20XX;4X(X):XXX-XXX.].

Background: Noise-induced hearing loss (NIHL) is a serious concern for orthopedic surgeons. The National Institute for Occupational Safety and Health (NIOSH) sets the safe exposure limit at 85 dB for 8 hours, yet operating rooms often surpass this limit. This study investigated if using an automated broaching system exposes orthopedic surgeons to dangerous decibel (dB) levels.

Materials and methods: A prospective study analyzed 138 intraoperative sound recordings from 92 total hip arthroplasty (THA) surgeries and 46 baseline measurements at an academic-affiliated private practice, using the NIOSH Sound Level Meter (SLM) application and a microphone. The surgeries were categorized into manual and automated broaching. Key metrics measured included maximal dB level (MDL), peak sound pressure (LC_peak), average continuous sound (LA_eq), and average weighted sound in an 8-hour period (TWA), along with dose representations, to identify hazardous noise levels.

Results: Of the 92 THA sound recordings, 50 used manual broaching and 42 employed automated broaching. Automated broaching exhibited higher noise levels, with an average MDL of 109.92 dBA, a LA_eq of 86.09 dBA, a TWA of 76.48 dBA, and a projected noise dose of 137.74%. In contrast, manual broaching exhibited an average MDL of 105.87 dBA, a LA_eq of 83.06 dBA, a TWA of 72.82 dBA, and a projected noise dose of 82.02%.

Conclusion: This study highlights the auditory risks from automated broach and manual THA surgeries that orthopedic surgeons experience. Manufacturers should focus on reducing instrument noise when designing surgical tools and orthopedic surgeons and operating room staff should take measures to protect themselves from NIHL during surgery. [Orthopedics. 202x;4x(x):xx-xx.].

Background: This study compared perioperative outcomes as well as encounter and 90-day costs between patients undergoing traditional vs robotic total knee arthroplasty (rTKA).

Materials and methods: A total of 430 TKAs (215 rTKAs, 215 traditional) were retrospectively reviewed. All rTKAs were performed with an imageless, second-generation robotic system. Cohorts were propensity score matched by age, sex, body mass index, and American Society of Anesthesiologists score. Perioperative data and 90-day complications were subsequently compared. Cox regression analyses evaluated survival to all-cause revisions. Univariable analyses compared total cost of care for the initial encounter and 90-day postoperative period. Multivariable regression analyses were then performed to evaluate associations with increased encounter and 90-day costs.

Results: Patients undergoing rTKA had a higher incidence of discharge home (86.5% vs 60.0%; P<.001). The rTKA cohort trended toward a lower incidence of 90-day emergency department visits, and there was a significantly lower percentage of 90-day readmissions (4.2% vs 13.5%; P=.001). Cox hazard ratio demonstrated no difference in survival to all-cause revisions (hazard ratio, 1.3; 95% CI, 0.5-3.7; P=.64). The cost of surgery was significantly higher in the rTKA cohort ($9292 vs $8392; P<.001); however, there was no difference in cost of encounter ($10,356.86 vs $10,396.44; P=.110) or at 90 days postoperatively ($11,103.89 vs $11,040.13; P=.739). rTKA did not have a significant association with increased cost at 90 days postoperatively (odds ratio, 0.96; 95% CI, 0.90-1.02; P=.180).

Conclusion: rTKA had a higher intraoperative cost compared with traditional TKA. However, with increased home discharges and fewer 90-day readmissions, rTKA was not associated with increased cost at 90 days. [Orthopedics. 202x;4x(x):xx-xx.].