Dataset Information

Development of Machine Learning Algorithms to Predict Being Lost to Follow-up After Hip Arthroscopy for Femoroacetabular Impingement Syndrome.

ABSTRACT: Purpose:To determine factors predictive of patients who are at risk for being lost to follow-up after hip arthroscopy for femoroacetabular impingement syndrome (FAIS). Methods:A prospective clinical repository was queried between January 2012 and October 2017 and all patients who underwent hip arthroscopy for primary or revision FAIS with minimum 2-year follow-up were included. A total of 27 potential risk factors for loss to follow-up were available and tested for predictive value. An 80:20 random sample split of all patients was performed to create training and testing sets. Cross-validation, minimum Bayes information criteria, and adaptive machine-learning algorithms were used to develop the predictive model. The model with the best predictive performance was selected based off of the lowest postestimation deviance between the training and testing samples. The c-statistic is a measure of discrimination. It ranges from 0.5 to 1.0, with 1.0 being perfect discrimination and 0.5 indicating the model is no better than chance. A log-likelihood ?2 test was used to evaluate the goodness-of-fit of the logistic regression model. Results:A total of 2113 patients were included. Inference of minimum Bayes information criteria model indicated that male sex (odds ratio [OR] 1.82, P = .028), non-white race (African American OR 2.41, P = .013; other non-white OR 1.42, P = .042), smoking (OR 1.07, P = .021), and failure to provide a phone number (OR 1.78, P = .032) increased the risk for being lost to follow-up. Furthermore, greater preoperative International Hip Outcome Tool 12-item component questionnaire (OR 1.03, P = .004), and modified Harris Hip Score (OR 1.05, P = .014) scores increased the risk of being lost to follow-up. The c-statistic was 0.76 (95% confidence interval 0.701-0.848). The log-likelihood indicated that the regression model as a whole was statistically significant (P = .002). Conclusions:Patients who are male, non-white, smokers, fail to provide a telephone number, and have greater preoperative modified Harris Hip Score and International Hip Outcome Tool 12-item component questionnaire scores are at an increased risk for being lost to follow-up 2 years after hip arthroscopy for FAIS. Level of Evidence:Level III, case control study.

SUBMITTER: Kunze KN

PROVIDER: S-EPMC7588627 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Development of Machine Learning Algorithms to Predict Being Lost to Follow-up After Hip Arthroscopy for Femoroacetabular Impingement Syndrome.

Kunze Kyle N KN Burnett Robert A RA Lee Elaine K EK Rasio Jonathan P JP Nho Shane J SJ

Arthroscopy, sports medicine, and rehabilitation 20200922 5

<h4>Purpose</h4>To determine factors predictive of patients who are at risk for being lost to follow-up after hip arthroscopy for femoroacetabular impingement syndrome (FAIS).<h4>Methods</h4>A prospective clinical repository was queried between January 2012 and October 2017 and all patients who underwent hip arthroscopy for primary or revision FAIS with minimum 2-year follow-up were included. A total of 27 potential risk factors for loss to follow-up were available and tested for predictive valu ...[more]

PMID: 33134999

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Project description:PurposeTo evaluate clinical depression scores and functional outcomes following arthroscopic treatment of femoroacetabular impingement syndrome in patients with elevated preoperative depressive symptoms as defined by Patient-Reported Outcomes Measurement Information System for Depression (PROMIS-D).MethodsPatients with femoroacetabular impingement syndrome completed the PROMIS-D Computer Adaptive Test and additional patient-reported outcome (PRO) measures preoperatively and at the time of postoperative visits. Patients were categorized into preoperative clinically depressed (CD) and nonclinically depressed (NCD) groups based on preoperative PROMIS-D scores. Scores ≥55 correlate to mild clinical depression, and this cutoff was used to determine preoperative depression status. PROMIS-D scores and functional outcome scores were assessed at 6 months and a minimum of 1-year postoperatively.ResultsIn total, 100 patients were included with complete PROs at a minimum of 1-year follow-up. Of those included, 21 (21%) were categorized with preoperative CD. There were no differences in demographic or radiographic variables between the preoperative CD and NCD groups. At 6 months and 12 months postoperatively, the percentage of patients in the preoperative CD group with continued depression was 33.3% and 23.8%, respectively. Overall, 1-year change in PROMIS-D score for the CD group was -9.1 versus -0.8 in the NCD group (P = .001). There was no significant difference in rates of patients achieving patient acceptable symptom state between the preoperative CD and NCD groups.ConclusionsPatients with symptoms of preoperative CD, as defined by the PROMIS-D score, demonstrated significant improvement in depressive symptoms following hip arthroscopy. In addition, patients with CD preoperatively did not show decreased rates of achieving minimum clinically important difference or patient acceptable symptom state on postoperative PROs compared with patients with NCD.Level of evidenceLevel IV, therapeutic case series.

Project description:PurposeWe aimed to determine the relationship between recreational sports and intra-articular hip injuries in an active population that had undergone hip arthroscopy for femoroacetabular impingement syndrome.MethodsA retrospective review was performed of prospectively collected data from patients undergoing hip arthroscopy between January 2015 and December 2016. Inclusion criteria included patients between 18 and 50 years of age who had participated in recreational sports prior to surgery and had a minimum of a 2-year follow-up. Labral injury was evaluated using the Multicenter Arthroscopic Hip Outcome Research Network classification, and rim chondral injuries were evaluated using the Acetabular Labral Articular Disruptions system. Ligamentum teres tear and psoas impingement were also recorded. Sports were classified as rotational running (soccer, basketball, handball), flexibility (martial arts, dance), asymmetric-overhead (racquet), or endurance (running, swimming, cycling). Primary univariate analysis of sports' independent associations, demographic characteristics, intra-articular hip injuries, and outcomes was performed.ResultsPatients included 185 people with a mean age of 36.7 years. Patients participating in rotational running sports and flexibility sports had a significantly greater proportion of rim chondral injuries than those participating in endurance sports or asymmetric overhead sports (P = 0.02). Ligamentum teres tears were significantly associated with flexibility sports (P < 0.001). A total of 84.7%, 67.7%, 67.2%, and 71.2% of patients met minimal clinically important difference levels for the modified Harris Hip Score (mHHS), the Hip Outcome Score (HOS)10 questionnaire with activities of daily living (HOS-ADL), the sports subscale (HOS-SSS), and the International Hip Outcome Tool (iHOT-12), respectively; 94.9%, 66.2% and 62.7% met the patient acceptable symptom state for mHHS, HOS-ADL, and HOS-SSS, respectively; 86.7%, 48.5%, 47.8%, and 32.4% found substantial clinical benefit for mHHS, HOS-ADL, HOS-SSS, and iHOT-12, respectively.ConclusionsRotational running sports were significantly associated with rim chondral injuries. Flexibility sports were significantly associated with rim chondral injuries and ligamentum teres tears. Athletes participating in these sports are more likely to have intra-articular hip injuries than those in the other sports categories.Level of evidenceLevel IV, prognostic case series.

Project description:PURPOSE:To provide estimates of postoperative opioid use after hip arthroscopy for femoroacetabular impingement (FAI) syndrome and to identify risk factors for increased postoperative opioid use. METHODS:All patients aged at least 18 years who were undergoing hip arthroscopy for FAI syndrome performed by 1 of 2 hip-preservation surgeons between November 2015 and August 2016 were eligible for inclusion in this study. Target minimum enrollment was set at 30 patients per surgeon based on an a priori sample size calculation. Enrolled patients completed the International Hip Outcome Tool, visual analog pain scale, Pain Catastrophizing Scale, abbreviated Patient Health Questionnaire, and questions regarding demographic characteristics and opioid and anti-inflammatory use. Opioid consumption was assessed through pill counting at 2- and 6-week postoperative appointments. Of 80 patients enrolled, 67 had complete 2- and 6-week opioid use data. Patient and operative factors were correlated with outcomes in multivariate models. RESULTS:Opioid use in the 2 weeks before surgery was significantly associated with higher postoperative opioid use at 2 weeks postoperatively (253.8 additional oral morphine equivalents [OMEs]; 95% confidence interval [CI], 171.2-336.5 additional OMEs; P < .0001; n = 73) and 6 weeks postoperatively (385.3 additional OMEs; 95% CI, 241.6-529.0 additional OMEs; P < .0001; n = 67). By 6 weeks postoperatively, 41 of 52 patients (79%) without opioid use in the 2 weeks before surgery used 30 or fewer 5-mg oxycodone pills compared with only 2 of 15 patients (13%) with preoperative use (odds ratio, 24.9; 95% CI, 4.2-148.5; P < .0001). CONCLUSIONS:Among patients undergoing hip arthroscopy for FAI syndrome, any opioid use in the 2 weeks preceding surgery was the strongest predictor of opioid use after hip arthroscopy. The impact of preoperative opioid use far exceeded the impact of other baseline patient and operative factors. Assessment of preoperative opioid use could be an important factor in guiding postoperative opioid prescribing. LEVEL OF EVIDENCE:Level II, prospective observational study.

Dataset Information

Development of Machine Learning Algorithms to Predict Being Lost to Follow-up After Hip Arthroscopy for Femoroacetabular Impingement Syndrome.

Publications

Development of Machine Learning Algorithms to Predict Being Lost to Follow-up After Hip Arthroscopy for Femoroacetabular Impingement Syndrome.

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