Development of a Machine-Learning Model for Anterior Knee Pain After Total Knee Arthroplasty With Patellar Preservation Using Radiological Variables.

BACKGROUND: Anterior knee pain (AKP) following total knee arthroplasty (TKA) with patellar preservation is a common complication that significantly affects patients' quality of life. This study aimed to develop a machine-learning model to predict the likelihood of developing AKP after TKA using radiological variables. METHODS: A cohort of 131 anterior stabilized TKA cases (105 patients) without patellar resurfacing was included. Patients underwent a follow-up evaluation with a minimum 1-year follow-up. The primary outcome was AKP, and radiological measurements were used as predictor variables. There were 2 observers who made the radiological measurement, which included lower limb dysmetria, joint space, and coronal, sagittal, and axial alignment. Machine-learning models were applied to predict AKP. The best-performing model was selected based on accuracy, precision, sensitivity, specificity, and Kappa statistics. Python 3.11 with Pandas and PyCaret libraries were used for analysis. RESULTS: A total of 35 TKA had AKP (26.7%). Patient-reported outcomes were significantly better in the patients who did not have AKP. The Gradient Boosting Classifier performed best for both observers, achieving an area under the curve of 0.9261 and 0.9164, respectively. The mechanical tibial slope was the most important variable for predicting AKP. The Shapley test indicated that high/low mechanical tibial slope, a shorter operated leg, a valgus coronal alignment, and excessive patellar tilt increased AKP risk. CONCLUSIONS: The results suggest that global alignment, including sagittal, coronal, and axial alignment, is relevant in predicting AKP after TKA. These findings provide valuable insights for optimizing TKA outcomes and reducing the incidence of AKP.

Impact of the COVID-19 Outbreak on Orthopedic Surgery: A Nationwide Analysis of the First Pandemic Year.

Purpose To analyze the impact of the coronavirus disease 2019 (COVID-19) outbreak during the first pandemic year in a single country. Methods A cross-sectional study was designed. The free access database of the Chilean Department of Statistics and Health Information (DEIS) was used to compare the number of orthopedic procedures between 2019 and 2020. Country mobility was exported from the Institute of Complex Engineering Systems (ISCI) free-access database; this corresponds to a direct measurement of the degree of confinement of the country. Spearman correlation (rho) was used to analyze the total monthly COVID infection trend and mobility to orthopedics procedures. Results The number of orthopedic surgeries fell by 22.8% during the first year of the pandemic. All surgical procedures were adversely affected, with the fracture/trauma surgeries being the least affected. The maximum adverse impact was seen in knee arthroplasty (-64%), followed by hip arthroplasty (-41%) and knee ligament reconstruction (-44%). The number of orthopedic procedures had a mild correlation to the monthly number of COVID-19 cases (rho=-0.53, p=0.08) and a strong correlation with the country's mobility (rho=0.94, p=0.0001). Conclusions The COVID-19 outbreak diminished the number of orthopedic procedures during 2020, and the impact was directly correlated to the country's mobility. The public health network did have a more significant adverse impact in elective surgeries due to a slower recovery than private institutions. An increase in the waiting list should be expected, which will widen the difference in access to orthopedic surgery in Chile.

Trends in Orthopedic Surgery in Chile: Analysis Between 2004 and 2020.

Purpose To describe the trends of orthopedic surgery in Chile since 2004 in terms of the number and gender of surgeons, the incidence of procedures per 100,000 inhabitants (IR), and access by health insurance and type of health center. Methods A cross-sectional study was designed. Three databases were analyzed: the free access database of the Chilean Department of Statistics and Health Information (DEIS), which had information on all procedures performed in health institutions in Chile from 2004 to 2020. Then, the orthopedic surgeon registry was requested from the National Superintendence of Health (NSH). Finally, the database of the Chilean Society of Orthopaedic Surgeons (SCHOT) was analyzed. Spearman's correlation was used to determine significant trends during the analyzed period. Results The NSH reported 1770 orthopedic surgeons in 2020; 56% were affiliated with SCHOT. An upward trend in the proportion of female orthopedic surgeons was found, from 4.8% in 2004 to 7.6% in 2020. Since 2004, the IR of orthopaedic surgeries has been increasing significantly in both health insurances; the growth in public insurance follows a linear model (R2 = 0.970) of parameters ß0 = - 55982.6 (p <0.000) and ß1 = 28.02 (p <0.000) while in private insurance, the growth is also linear (R2 = 0.890) but with a greater slope: ß0 = - 104136 (p <0.000) and ß1 = 52.15 (p <0.000). A significant downward trend was found in the proportion of surgeries performed in the public health network (rho = -0.797, p = 0.0002). Conclusions There is a significant increase in the number of orthopedic surgeons and the number of procedures per 100,000 inhabitants. Nevertheless, there is evident inequity in access to orthopedic surgery in Chile and low gender diversity.

Trends in Knee and Hip Arthroplasty in Chile Between 2004 and 2019.

Introduction The purpose of this study is to describe the incidence rate (IR) per 100,000 inhabitants of arthroplasty in Chile between 2004 and 2019, emphasizing knee and hip arthroplasty. Methods This is a cross-sectional study. Patients who underwent arthroplasty between 2004 and 2019 were identified in the free access database of the Chilean Department of Statistics and Health Information (DEIS), which depends directly on the Ministry of Health. This register stores all hospital discharges of the country from private or public health centers. The trend during the period of study was analyzed using Spearman's correlation. Results From a total of 111,303 patients, 133,518 arthroplasties were performed. Hip arthroplasty (HA) accounted for 73.35%, followed by knee arthroplasty (KA) (23,92%). A significant upward trend was found in HA (rho=0.95, p<0.000) and KA (rho=0.98, p<0.000). Most of the surgeries were done within the Public Health Network (61,6%), but 20% of patients affiliated with public insurance underwent arthroplasty in a private center. Patients above 60 years of age affiliated with private insurance underwent 1.8 HA and 2.5 KA for every one HA and KA undergone by patients of the same age group who were affiliated with public insurance. Conclusion HA was more frequent than KA. A significant gap was found in the incidence of arthroplasty as compared to countries belonging to the Organization for Cooperation and Economic Development, given by a less aged population and by inequity in health access. Wider coverage and a national registry for arthroplasty must be considered in Chilean health policies.