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Labott, Joshua R.

https://orcid.org/0000-0001-5020-2434

Mayo Clinic

Mayo Clinic

Citations 13

0558 Emergence of Restless Legs Syndrome During Opioid Withdrawal
Labott, Joshua R. , Mazumder, Mridul , Gebhard, Judy, Cunningham, Julie M. , Loukianova, Larissa L., Gilliam, Wesley P. , McCarter, Stuart J. , Lipford, Melissa C.

Sleep | May 31, 2022 | Volume: 45 | Issue: Supplement_1 | Pages: A245-A246

10.1093/sleep/zsac079.555 Get It

Abstract Introduction Discontinuation of opioid medications may be associated with emergence of restless legs syndrome (RLS), which may complicate opioid withdrawal. However, this has not been systematically studied. We aimed to prospectively determine the frequency of the occurrence and severity of RLS symptoms in patients undergoing physician supervised opioid tapering during a 3-week interdisciplinary pain rehabilitation program. Methods Adult patients undergoing prescription opioid taper were prospectively recruited during their participation in the Mayo Pain Rehabilitation Center from 2016 to 2021. Subjects completed the Cambridge-Hopkins RLS Questionnaire 13 and International Restless Legs Syndrome Study Group Rating Scale (IRLS) at baseline, midpoint, and dismissal from the program as well as 2 weeks, 1 and 3 months after dismissal from the program. Results 101 patients participated with 61% being female taking a mean morphine equivalent dose of 46.6 ± 49.0 mg. Baseline prevalence of RLS symptoms was 29% (29/101), increasing to 32% (32/101) at midpoint of treatment and further to 35% (34/97) at dismissal from the program. Frequency of RLS symptoms peaked 2 weeks after dismissal at 38% (30/78) and steadily declined to 35% (28/80) and 31% (21/68) at 1 month and 3 months after dismissal, respectively. Thirty-five percent of patients without baseline RLS symptoms reported de novo RLS symptoms at some point during their opioid taper. RLS severity score followed a similar trend as the presence of symptoms with a baseline of 16.6 ± 10.0. RLS severity score was maximum at 19.1 ± 7.3 one month following dismissal and decreased but remained elevated above baseline at 3 months following dismissal. Conclusion Symptoms of RLS occurred in over a third of patients on chronic opioids and increased during opioid withdrawal, appearing to peak in frequency and severity 2-4 weeks after discontinuation and gradually improved 3 months after discontinuation. Over one-third of patients in our cohort developed de novo symptoms of RLS at some point during their opioid withdrawal. Physicians supervising individuals undergoing opioid withdrawal should be aware of the potential development of RLS symptoms which may hinder successful opioid withdrawal. Support (If Any)
Utility of the ACS‐NSQIP surgical risk calculator in predicting postoperative complications in patients undergoing oncologic proximal femoral replacement
Labott, Joshua R. , Brinkmann, Elyse J. , Couch, Cory G., Rose, Peter S. , Houdek, Matthew T. , Wyles, Cody C. , Houdek, Matthew T , Hevesi, Mario

Journal of Surgical Oncology | June 29, 2021 | Volume: 124 | Issue: 5 | Pages: 852-857

10.1002/jso.26583 Get It

AbstractIntroductionProximal femur replacement (PFR) in the setting of tumor resection is associated with a high rate of postoperative complication. The online American College of Surgeons‐National Surgical Quality Improvement Program (ACS‐NSQIP) surgical risk calculator is approved by the Center of Medicare and Medicaid services to estimate 30‐day postoperative complications. This study was to determine if the ACS‐NSQIP can predict postoperative complications following PFR.MethodsWe reviewed 103 (61 male and 42 female) patients undergoing PFR using the Current Procedural Terminology (CPT) codes available in the calculator: 27125 (hemiarthroplasty), 27130 (total hip), 27132 (conversion to total hip), 27134 (revision total hip), 27137 (revision acetabulum), 27138 (revision femur), and 27365 (excision tumor hip). The predicted rates of complications were compared with the observed rates.ResultsComplications occurred in 54 (52%) of patients, with the predicted risk based on CPT codes: 27125 (21.5%); 27130 (7.8%); 27132 (16.6%), 27134 (17.8%), 27137 (14.4%), 274138 (22.7%), and 27365 (16.2%). The calculator was a poor predictor of complications (27125, area under the curve [AUC] 0.576); (27130, AUC 0.489); (27132, AUC 0.490); (27134, AUC 00.489); (27137, AUC 0.489); (27138, AUC 0.471); and (27365, AUC 0.538).ConclusionOncologic PFR is known for complications. The ACS‐NSQIP does not adequately predict the incidence of complications, and therefore cannot reliably be used in their shared decision‐making process preoperative.
0666 RLS/WED In The Setting Of Opioid Withdrawal
Labott, Joshua R. , Gilliam, Wesley P. , Gebhard, Judy K, Cunningham, Julie L. , Sperry, Jeannie A., Loukianova, Larissa L., Gebhard, Judy, Lipford, Melissa C.

Sleep | April 13, 2019 | Volume: 42 | Issue: Supplement_1 | Pages: A265-A266

10.1093/sleep/zsz067.664 Get It