Background: Despite improving diagnostic and surgical techniques, some patients do not respond as well as others following hip arthroscopy. In most musculoskeletal studies, predictors for surgical outcomes focus solely on physical health prior to surgery. However, there likely exists a relationship between a patient’s mental health and their postoperative patient-reported outcome measures (PROMs). Methods: 40 patients who met indications for hip arthroscopy were enrolled in this prospective cohort study. All patients completed a baseline Brief Resilience Scale (BRS) and 4validated PROMs: modified Harris Hip Score (mHHS), visual analogue scale for pain (VAS), Hip Outcomes Score for Activities of Daily Living (HOS-Daily), and Hip Outcomes Score for Sports-Related Activities (HOS-Sport). For a secondary measure of psychometric evaluation, past medical histories of anxiety/depression were recorded. Patients were stratified into Low Resilience (LR < 21), Normal Resilience (NR 22-24), and High Resilience (HR > 25) by tertile to determine differences in PROMs. Comparisons and correlations of pre- and postoperative outcomes between resilience groups were performed. Results: In comparing the LR and HR groups, there was a significant relationship between resilience and all PROMs both preoperatively and 6 months postoperatively ( p < 0.05), with the exception of the HOS-Sports. Pearson Correlation Coefficients confirmed this trend in the mHHS and the HOS-Daily. Additionally, there were sixteen patients who were discharged prior to 6-month follow-up with an average resilience above the mean of total population ( p < 0.0001). Resilience was associated with return to activity ( p = 0.017). A past history of anxiety/depression was associated with lower resilience ( p = 0.039). Conclusions: This study showed that HR hip arthroscopy patients had better PROMs than LR patients both preoperatively and postoperatively. HR patients were able to return to activity earlier and had lower rates of preoperative anxiety/depression. The BRS is a simple in-office screening tool, which may help guide patient and doctor communication and expectations.
(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical success, patient outcomes, and economic impact. The focus of this study is to use a variety of machine learning algorithms to reliably predict whether a patient undergoing posterior spinal fusion surgery treatment for Adult Spine Deformity (ASD) will experience a prolonged LOS. (2) Methods: Patients undergoing treatment for ASD with posterior spinal fusion surgery were selected from the American College of Surgeon’s NSQIP dataset. Prolonged LOS was defined as a LOS greater than or equal to 9 days. Data was analyzed with the Logistic Regression, Decision Tree, Random Forest, XGBoost, and Gradient Boosting functions in Python with the Sci-Kit learn package. Prediction accuracy and area under the curve (AUC) were calculated. (3) Results: 1281 posterior patients were analyzed. The five algorithms had prediction accuracies between 68% and 83% for posterior cases (AUC: 0.566–0.821). Multivariable regression indicated that increased Work Relative Value Units (RVU), elevated American Society of Anesthesiologists (ASA) class, and longer operating times were linked to longer LOS. (4) Conclusions: Machine learning algorithms can predict if patients will experience an increased LOS following ASD surgery. Therefore, medical resources can be more appropriately allocated towards patients who are at risk of prolonged LOS.
Gluteus medius (GM) tears are recognized as a significant cause of lateral hip pain. While non-operative management can be effective, those who fail this treatment modality may be indicated for operative intervention. There is no widely agreed upon ‘gold standard’ technique with regards to open, mini-open and endoscopic repair. Our study prospectively enrolled 31 patients undergoing the authors preferred ‘mini-open’ repair technique with patients completing pre- and post-operative patient reported outcome measures (PROMs) in the form of the Modified Harris Hip Score, Visual Analogue pain Scale, Hip Outcomes Score for Activities of Daily Living and Hip Outcomes Score for Sports-Related Activities (HOS-SSS). The effect of anxiety/depression on outcomes was also examined. Patients had an average follow-up of 6 months. There was a statistically significant increase in all PROMs in the 31 patients undergoing mini-open repair. A sub-group of patients with self-reported history of anxiety/depression via patient intake paperwork experienced less improvement than those without, however this cohort still had significant improvement in all categories except HOS-SSS. Our study shows that a mini-open GM repair technique provides good patient reported outcomes at 6 months, and allows for improved cosmesis compared with traditional open techniques utilizing a larger surgical incision. It is important to counsel patients with a history of anxiety/depression that while they can expect significant functional improvement, that their improvement may be less than patients without these comorbidities.
OBJECTIVE This report describes a minimally invasive lumbar foraminotomy technique that can be applied in patients who underwent complex spine decompression procedures or in patients with severe foraminal stenosis. METHODS Awake, endoscopic decompression surgery was performed in 538 patients over a 5-year period between 2014 and 2019. Transforaminal endoscopic foraminal decompression surgery using a high-speed endoscopic drill was performed in 34 patients who had previously undergone fusions at the treated level. RESULTS At 2-year follow-up, the mean (± SD) preoperative visual analog scale score for leg pain and the Oswestry Disability Index improved from 7.1 (± 1.5) and 40.1% (± 12.1%) to 2.1 (± 1.9) and 13.6% (± 11.1%). CONCLUSIONS A minimally invasive, awake procedure is presented for the treatment of severe lumbar foraminal stenosis in patients with lumbar radiculopathy after lumbar fusion.
Background: The Risk Assessment Prediction Tool (RAPT) is a validated 6-question survey designed to predict primary total joint arthroplasty (TJA) patients' discharge disposition. It is scored from 1 to 12 with patients stratified into high-, intermediate-, and low-risk groups. Given recent advancements in rapiddischarge protocols and increasing utilization of home services, the RAPT score may require modified scoring cutoffs. Methods: A retrospective chart review of all patients undergoing primary TJA at a single academic center over 14 months was performed. The RAPT score was implemented during the sixth month. Patients undergoing revision TJA, complex TJA, and TJA after resection of malignancy were excluded. Outcomes before and after RAPT implementation were analyzed with additional subanalysis investigating of post-RAPT data. Results: A total of 1264 patients (624 Pre-RAPT and 640 Post-RAPT) were evaluated. The post-RAPT group (245 total hip arthroplasty and 395 total knee arthroplasty) experienced significant decreases in mean hospital length of stay (2.22 days pre-RAPT to 1.82 days post-RAPT, P < .001) and the proportion of patients discharged to facility (21.8% pre-RAPT to 15.2% post-RAPT, P ¼ .002). The modified system demonstrated the highest overall predictive accuracy at 92% and was found to be predictive of hospital length of stay. Conclusion:Owing to the recent trends favoring in-home services over rehab facility after discharge, previously published RAPT scoring cutoffs are inaccurate for modern practice. Using mRAPT cutoffs maximizes the number of patients for whom a discharge prediction can be made, while maintaining excellent predictive accuracy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.