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2716 citation(s) found for "Ma, Michelle".

A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort
Group, MARS, Vasavada, Vrinda, Devana, Sai K. , Hame, Sharon L. , Jazrawi, Laith M. , Huston, Laura J. , Haas, Amanda K. , Cooper, Daniel E. , Amendola, Annunziato, Annunziata, Christopher C., Arciero, Robert A. , Bach, Bernard R. , Baker, Champ L., Bartolozzi, Arthur R. , Baumgarten, Keith M. , Berg, Jeffrey H., Bernas, Geoffrey A., Brockmeier, Stephen F. , Bush‐Joseph, Charles A., Butler, J. Brad, Carey, James L. , Carpenter, James E. , Cole, Brian J. , Cooper, Jonathan M., Creighton, R. Alexander , Dunn, Warren R. , Flanigan, David C. , Frederick, Robert W., Ganley, Theodore J. , Gatt, Charles J. , Gecha, Steven R., Hannafin, Jo A., Harris, Norman Lindsay, Hechtman, Keith S., Hershman, Elliott B., Hoellrich, Rudolf G., Johnson, David C. , Kaeding, Christopher C., Kamath, Ganesh V. , Klootwyk, Thomas E., Levy, Bruce A. , Benjamin, C. , Maiers, G. Peter, Marx, Robert G. , Matava, Matthew J. , Mathien, Gregory M., McCormack, Robert G. , Miller, Bruce S., Nissen, Carl W. , O’Neill, Daniel F., Parker, Richard D., Purnell, Mark L., Ramappa, Arun J. , Rauh, Michael A. , Rettig, Arthur C., Sekiya, Jon K., Shea, Kevin G. , Slauterbeck, James R., Smith, Matthew V. , Svoboda, Steven J. , Taft, Timothy N., Tenuta, Joachim J., Tingstad, Edwin M., Vidal, Armando F. , Viskontas, Darius G., White, Richard A., Wolcott, Michelle L., Wright, Rick W. , York, James J. , Group, MARS, Vasavada, Kinjal , Moran, Jay T. , Lee, Chang Hee , Sherman, Orrin H. , Allen, Christina R. , DeBerardino, Thomas M. , Spindler, Kurt P , Stuart, Michael J., Brophy, Robert H. , Cox, Charles L. , David, Tal S. , Giffin, J. Robert , Johnson, David C., Johnson, Timothy S. , Jones, Morgan H. , Kaeding, Christopher C. , McAllister, David R. , McCarty, Eric C. , Miller, Bruce S., Owens, Brett D. , Spang, Jeffrey T. , Vidal, Armando F. , Williams, James S. , Wolf, Brian R.

Orthopaedic Journal of Sports Medicine | November 14, 2024 | Volume: 12 | Issue: 11 | Pages: No page available

10.1177/23259671241291920 | PMID 39555321 Get It

Background: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights. Purpose: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure. Study Design: Cohort study; Level of evidence, 3. Methods: The authors prospectively recruited patients undergoing rACLR from the MARS cohort and obtained preoperative radiographs, surgeon-reported intraoperative findings, and 2- and 6-year follow-up data on patient-reported outcomes, additional surgeries, and graft failure. Machine learning models including logistic regression (LR), XGBoost, gradient boosting (GB), random forest (RF), and a validated ensemble algorithm (AutoPrognosis) were built to predict graft failure by 6 years postoperatively. Validated performance metrics and feature importance measures were used to evaluate model performance. Results: The cohort included 960 patients who completed 6-year follow-up, with 5.7% (n = 55) experiencing graft failure. AutoPrognosis demonstrated the highest discriminative power (model area under the receiver operating characteristic curve: AutoPrognosis, 0.703; RF, 0.618; GB, 0.660; XGBoost, 0.680; LR, 0.592), with well-calibrated scores (model Brier score: AutoPrognosis, 0.053; RF, 0.054; GB, 0.057; XGBoost, 0.058; LR, 0.111). The most important features for AutoPrognosis model performance were prior compromised femoral and tibial tunnels (placement and size) and allograft graft type used in current rACLR. Conclusion: The present study demonstrated the ability of the novel AutoPrognosis machine learning model to best predict the risk of graft failure in patients undergoing rACLR at 6 years postoperatively with moderate predictive ability. Femoral and tibial tunnel size and position in prior ACLR and allograft use in current rACLR were all risk factors for rACLR failure in the context of the AutoPrognosis model. This study describes a unique model that can be externally validated with larger data sets and contribute toward the creation of a robust rACLR bedside risk calculator in future studies. Registration: NCT00625885 (ClinicalTrials.gov identifier).
Abstract 4135352: Neighborhood-level Determinants and Disparities in Incident Type 2 Diabetes in a Population-Based Cohort, 2015–2020
Varghese, Ben , Gupta, Ruchi , Bailey, Kent, Fischer, Karen M. , Gupta, Ruchi, Mielke, Michelle M. , Vella, Adrian , Chamberlain, Alanna M. , Sauver, Jennifer L. St. , Bailey, Kent, Dugani, Sagar B.

Circulation | November 13, 2024 | Volume: 150 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.150.suppl_1.4135352 Get It

Introduction: Living in an area with high Area Deprivation Index (ADI) is linked to worse cardiovascular disease (CVD) outcomes. However, the association of ADI with type 2 diabetes (T2D), a major CVD risk factor, is incompletely described. This knowledge may guide primary CVD prevention. Method: Rochester Epidemiology Project is a medical record linkage system of persons in southeast Minnesota and southwest Wisconsin. We identified 253,890 persons (aged 4–98 yrs on July 1, 2015) in 9 counties with >90% population coverage. ADI scores, from 2015 home addresses, were grouped into quartiles of low (Q1) to high (Q4) deprivation. We excluded persons with type 1 diabetes (T1D) or history of T2D and identified new T2D cases (2015-2020) using ICD codes, HbA1c and medications. We examined the association between ADI quartile and risk of incident T2D using Cox regression with persons right censored at death, T2D, T1D or last visit. Models were adjusted for age and gender, and reported adjusted hazard ratios (aHR [95% confidence interval]). Results: Age, gender, and race statistically differed across ADI quartiles (Table). Age × ADI interaction was significant ( P <.001). T2D incidence ranged from 6.3 (Q1) to 9.0 (Q4) per 1000 person-years ( P <.001). Women vs. men/non-binary persons (combined due to limited non-binary persons) had 30% lower risk of incident T2D (aHR 0.70 [0.67–0.72]). Risk of incident T2D was higher in persons from higher ADI areas. At median age of 48.6 yrs, the risk was 30% higher in Q2 (aHR 1.3 [1.22–1.38]), 38% higher in Q3 (aHR 1.38 [1.30–1.47]) and 53% higher in Q4 (aHR 1.53 [1.43–1.62]) vs. Q1. Higher ADI was associated with higher incident T2D in younger persons, with risk attenuation with increasing age (Figure). Conclusion: In this population cohort, persons, particularly of younger age, living in more deprived areas had a higher risk of incident T2D. ADI may help identify areas for targeted T2D screening, with implications for CVD screening and prevention.
NCCN Guidelines® Insights: Management of Immunotherapy-Related Toxicities, Version 2.2024
Thompson, John A. , Schneider, Bryan J. , Brahmer, Julie R. , Zaid, Mohammad Abu , Achufusi, Amaka, Armand, Philippe , Bermas, Bonnie L. , Braaten, Tawnie , Chokshi, Saurin , Crees, Zachary , Davies, Marianne, Deng, Changchun , Gesthalter, Yaron , Jallouk, Andrew , Khalil, Maya, Marr, Alissa , McGettigan, Suzanne , Medina, Theresa , Mohindra, Nisha , Patel, Sandip Pravin , Prosek, Jason, Reddy, Sunil , Reid, Pankti , Ryder, Mabel , Shofer, Scott , Sosman, Jeffrey A. , Zucker, Stephen D. , Lyons, Megan , Hang, Lisa, Ryder, Mabel , Berkenstock, Meghan , Bermas, Bonnie , Budde, Lihua E. , Jain, Michael D. , Jain, Prantesh , Kaffenberger, B , Lechner, Melissa G , Li, Tianhong , McPherson, Jordan P. , Medina, Theresa Michelle , Olszanski, Anthony J. , Oluwole, Olalekan O. , Ryan, John, Salman, Huda , Santomasso, Bianca , Wang, Yinghong , Zaha, Vlad G , Awotiwon, Ajibola

Journal of the National Comprehensive Cancer Network | November 13, 2024 | Volume: 22 | Issue: 9 | Pages: 582-592

10.6004/jnccn.2024.0057 | PMID 39536465 Get It

The NCCN Guidelines for the Management of Immunotherapy-Related Toxicities are intended to provide oncology practitioners with guidance on how to manage the wide-ranging and potentially fatal toxicities that may occur with cancer immunotherapy. The guidelines address immune-related adverse events related to immune checkpoint inhibitors, CAR T-cell therapies, and lymphocyte engagers (which include T-cell–engaging bispecific antibodies). These NCCN Guidelines Insights highlight recent guideline updates pertaining to the management of emerging toxicities related to cancer immunotherapy.
CTNI-61. PRELIMINARY RESULTS OF A PHASE I/II TRIAL OF SELINEXOR AND TEMOZOLOMIDE IN RECURRENT GLIOBLASTOMA
Berens, Michael, Villalona‐Calero, Miguel A. , Fuente, Macarena I. de la , Jaeckle, Kurt A. , Kizilbash, Sani H. , Hrachova, Maya , Porter, Alyx B. , Hoang, Kimberly , Lipinski, Lindsay , Giglio, Pierre , Mantica, Megan , Schiff, David , Gore, Steven D. , Kizilbash, Sani H , Chow, Frances , Palmer, Joycelynne Michelle , Ney, Douglas Edward , Nasany, Ruham Alshiekh , Piccioni, David Eric , Strowd, Roy E. , Schiff, David, Portnow, Jana

Neuro-Oncology | November 11, 2024 | Volume: 26 | Issue: Supplement_8 | Pages: viii111-viii111

10.1093/neuonc/noae165.0428 Get It

Abstract BACKGROUND Selinexor (SEL) is a first-in-class XPO1 inhibitor with potent antitumor activity through the nuclear retention and reactivation of tumor suppressor proteins, reduced translation of oncogenes, and decreased expression of anti-apoptotic proteins. As a single agent, SEL has demonstrated brain penetration and clinically relevant responses in glioblastoma. We seek to enhance the effect and benefit of SEL by priming with temozolomide (TMZ). METHODS Through an NCI Project Team, we developed a multi-institutional phase I/II clinical trial which opened across the NCI Experimental Therapeutics Clinical Trial Network. Eligibility included histologically confirmed 1st recurrent MGMT promoter methylated glioblastoma. We evaluated safety, tolerability, and dose finding with an IQ 3 + 3 design of TMZ 150mg/m2 on days 1-5 of a 28-day cycle plus SEL on days 8 and 15. RESULTS From October 2022 to March 2024, we enrolled 12 patients (n=11 evaluable) into phase I of the study. Patient characteristics included 82% male, median age 62 (range 50-77), 64% white. The median number of cycles administered was 6 (range 1-12). Two dose levels (SEL 60mg and SEL 80mg) were evaluated. No dose-limiting toxicities (DLTs) were observed. The most common treatment related adverse events were nausea (58%), decreased platelet count (50%), fatigue (50%), constipation (42%), vomiting (25%), decreased lymphocyte count (25%), and decreased neutrophil count (25%). Grade 3+ treatment related adverse events included nausea, grade 3 (n=1); decreased lymphocyte count, grades 3-4 (n=2); and anorexia, grade 3 (n=1). Phase I has completed enrollment and the recommended phase II dose will be SEL 80mg. Additional results will be presented. CONCLUSION Results suggest that a sequential dosing regimen of SEL+TMZ is feasible, well-tolerated, and may minimize the cumulative toxicity of SEL. The phase II randomized portion of this trial is enrolling nationwide and will investigate efficacy and candidate molecular signatures of vulnerability (NCI #10505, NCT05432804).
BIOM-31. MOLECULAR ANALYSIS OF RESECTED BREAST CANCER BRAIN METASTASES REVEALS CEREBELLAR LOCATION AND TRIPLE NEGATIVE SUBTYPE ARE NEGATIVE PROGNOSTIC FACTORS
Salans, Mia , Kuwahara, Kelsey, Zhou, Maggie , Boreta, Lauren , Melisko, Michelle , Vasudevan, Harish N. , Huppert, Laura Ann , Braunstein, Steve , Aghi, Manish Kumar , Morshed, Ramin A.

Neuro-Oncology | November 11, 2024 | Volume: 26 | Issue: Supplement_8 | Pages: viii26-viii26

10.1093/neuonc/noae165.0104 Get It

Abstract BACKGROUND Brain metastases (BMs) are a significant cause of morbidity and mortality in metastatic breast cancer (MBC), yet prognostic and predictive biomarkers remain poorly understood. STUDY DESIGN 90 consecutive patients with breast cancer BMs who underwent surgical resection from 2006-2022 were retrospectively identified. Review of the electronic medical record and institutional cancer registry were completed to identify baseline clinical parameters and outcomes. BM mutation analysis was performed using a CLIA-certified targeted DNA mutation sequencing assay as part of routine clinical care. RESULTS All patients were female, median age at first BM resection was 57.9 years (range 27.0-81.3 years), and receptor subtypes included HR+/HER2- (n=27, 30.0%), HER2+ (n=33, 36.7%), and triple negative BC (TNBC; n=30, 33.3%). At time of first BM resection, most patients had a solitary BM (n=55, 61.1%), with anatomic locations including cerebellar (n=29, 32.2%), frontal (n=26, 28.9%), and parietal (n=17, 18.9%) sites. BM DNA mutation analysis (n= 20) revealed pathogenic alterations in TP53 (n=17, 85.0%), ERBB2 amplification (n=7, 35.0%), PIK3CA (n=4, 20.0%), BRCA1 (n=3, 15.0%), and BRCA2 (n=2, 10.0%). Most patients received postoperative radiation (n=82, 90.8%) and/or systemic therapy (n=67, 82.7%). Cerebellar location was significantly associated with the risk of developing leptomeningeal disease compared to other BM resection sites (HR = 2.75, p=0.02). Among all patients, median overall survival (OS) from first BM resection was 27.8 months (range 0.1-196.6 months). HR+/HER2- (median 37 months) or HER2+ (median 36 months) MBC was associated with significantly increased OS compared to TNBC (14.4 months) (p&lt;0.01, log-rank test). CONCLUSIONS Patients with breast cancer BMs exhibited a median OS of &gt;2 years following BM resection, and patients with TNBC had a significantly worse prognosis. Targetable mutations were observed in 40% of resected BM specimens, supporting the utility of molecular analysis of resected BMs to help guide clinical management.
A comparison of isolated limb infusion/perfusion, immune checkpoint inhibitors, and intralesional therapy as first‐line treatment for patients with melanoma in‐transit metastases
DePalo, Danielle K. , Dugan, Michelle M. , Naqvi, Syeda Mahrukh Hussnain , Ollila, David W. , Hieken, Tina J. , Block, Matthew S. , Houdt, Winan J. van , Reijers, Sophie J. M. , Asher, Nethanel , Duncan, Zoey , Anderson, Matilda, Snow, Hayden , Held, Jenny M., Farma, Jeffrey M. , Vetto, John T. , Hui, Jane Yuet Ching , Kolbow, Madison , Saw, Robyn P.M. , Lo, Serigne , Long, Georgina V. , Karapetyan, Lilit , Akkooi, Alexander C. J. van , van Houdt, Winan J , Asher, Nethanel , Hui, Jane Yuet Ching , Kolbow, Madison , Lo, Serigne N , Thompson, John F , Zager, Jonathan S , Hieken, Tina J , Long, Georgina V , Wouters, Michel W.J.M. , Broman, Kristy K. , Gyorki, David E. , Held, Jenny, Thompson, John F. , Kim, Youngchul , Ny, Lars , Bagge, Roger Olofsson , Zager, Jonathan S.

Cancer | November 10, 2024 | Volume: 131 | Issue: 1 | Pages: No page available

10.1002/cncr.35636 | PMID 39522025 Get It

AbstractBackgroundIsolated limb infusion and perfusion (ILI/ILP) has been a mainstay treatment for unresectable melanoma in‐transit metastases (ITM), but increased use of immune checkpoint inhibitors (ICI) and intralesional therapy (talimogene laherparepvec [TVEC]) introduced several different management options. This study compares first‐line ILI/ILP, ICI, and TVEC.MethodsRetrospective review from 12 international institutions included patients treated from 1990 to 2022 with first‐line ILI/ILP, ICI, or TVEC for unresectable melanoma ITM.ResultsA total of 551 patients were treated, with ILI/ILP (n = 356), ICI (n = 125), and TVEC (n = 70) with median follow‐up of 5.5 years. Tumor burden was highest with ILI/ILP and lowest with TVEC (p = .002). Breslow thickness was lowest with TVEC (p = .007). TVEC was mostly used in stage IIIB disease versus IIIC for ILI/ILP and ICI (p = .01). Using ICI as the reference category, TVEC had the highest odds of a complete response (CR) (odds ratio, 1.96; p = .029) and a longer local progression‐free survival (PFS) (hazard ratio [HR], 0.40; p = .003). ILI/ILP had shorter local PFS (HR, 1.72; p = .012), PFS (HR, 1.79; p < .001), distant metastasis‐free survival (DMFS) (HR, 1.75; p = .014), overall survival (HR, 1.82; p = .009), and melanoma‐specific survival (HR, 2.29; p = .004). Stage IIIB disease had longer DMFS (HR, 0.24; p < .001) compared to IIIC/D.ConclusionsTVEC as first‐line therapy for unresectable melanoma ITM was associated with superior CR rates and local PFS. Notably, TVEC was used in patients with a lower Breslow thickness, disease stage, and tumor burden. Therefore, when compared to ILI/ILP and ICI, TVEC should be considered as first‐line therapy for unresectable stage IIIB melanoma ITM with minimal tumor burden and lower Breslow thickness.
Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning
Flaker, Susan M, Holm, Michelle R., Gilmer, Mary, Perry, Adam, Martindale-Mathern, Sonia C., Holm, Michelle, Martindale-Mathern, Sonia, Perry, Adam

American Journal of Health-System Pharmacy | November 9, 2024 | Volume: 82 | Issue: 10 | Pages: 544-550

10.1093/ajhp/zxae336 | PMID 39520176 Get It

Abstract Purpose Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccine quantities that would be needed for the next influenza season while minimizing vaccine waste and meeting patient care demands. Methods Several data sources were evaluated to develop a predictive analytics model to better estimate future influenza vaccine orders during upcoming influenza seasons. A retrospective analysis of influenza vaccine administrations over the last 4 influenza seasons allowed the team to develop an algorithm to predict influenza vaccine needs. Two regions within Mayo Clinic were selected to determine the validity of our ordering process. These 2 regions, identified as regions 3 and 5, ordered influenza vaccines based on the algorithm, while the other 3 regions acted as control groups, ordering though traditional methods based on purchasing data. Results Predictive analysis for the 2 intervention regions resulted in a savings of over $1 million when compared to traditional ordering methods. The model predicted that the quantity of vaccine ordered should be 17,574.16 and 9,164.29 quadrivalent influenza vaccines for regions 3 and 5, respectively. On the basis of actual administration data, 15,902 vaccines for region 3 and 9,016 vaccines for region 5 will be administered by the end of the season, both of which are less than the predicted amount needed, demonstrating the accuracy of the analytics. Conclusion Compared to the traditional ordering method, ordering using predictive analytics allowed the team to more accurately determine future order volumes and spend, yielding significant cost savings.
Extremity War Injury Symposium 2024: Sports Medicine and Medical Readiness Section Summary
Anderson, Ashley B. , Barrow, Aaron E. , Bedi, Asheesh , Dekker, Travis J. , Donohue, Michael A. , Dragoo, Jason L. , Gosselin, Michelle M. , Renninger, Christopher H. , Sheean, Andrew J. , Song, Daniel J. , Tokish, John M. , Waltz, Robert A. , Yuan, Xiaoning , Spindler, Kurt P , Extremity War Injury Symposium Working Group , Ficke, James R. , Hsu, Joseph R. , Stinner, Daniel J. , Tintle, Scott M. , Huard, Johnny

Orthopaedic Journal of Sports Medicine | November 8, 2024 | Volume: 12 | Issue: 11 | Pages: No page available

10.1177/23259671241293206 | PMID 40171536 Get It

Collaboration between military and civilian investigators is necessary to develop strategies for optimizing treatments to diminish the sequelae of non–battle-related musculoskeletal injuries, which are highly prevalent among servicemembers. The 2024 Extremity War Injuries Symposium provided a forum whereby a diverse group of clinicians and researchers could develop strategies for optimizing treatments and diminishing the sequelae of conditions that are highly prevalent among active individuals. Key points were as follows: 1. The value of collaborations between military and civilian investigators cannot be overemphasized. These synergies can leverage the capabilities of established infrastructures in order to answer important questions pertaining to short-term outcomes—for example, warrior readiness of anterior cruciate ligament reconstructions among servicemembers and long-term posttraumatic osteoarthritis (PTOA) outcomes among civilian cohorts. 2. Current and future prospective trials will inform future treatment decisions related to multiligamentous knee injuries and glenohumeral instability. 3. Novel approaches to addressing PTOA in the acute postinjury period will need longitudinal surveillance to measure their impact on improving clinical outcomes and diminishing residual functional deficits.
Surgical Predictors of Clinical Outcome 6 Years After Revision ACL Reconstruction
Group, The MARS, Wright, Rick W. , Huston, Laura J. , Haas, Amanda K. , Cooper, Daniel E. , Dunn, Warren R. , Lantz, Brett A., Amendola, Annunziato , Annunziata, Christopher C., Arciero, Robert A. , Bach, Bernard R. , Baker, Champ L., Bartolozzi, Arthur R. , Baumgarten, Keith M. , Berg, Jeffrey H., Bernas, Geoffrey A., Brockmeier, Stephen F. , Bush‐Joseph, Charles A., Butler, J. Brad, Carey, James L. , Carpenter, James E. , Cole, Brian J. , Cooper, Jonathan M., Creighton, R. Alexander , Flanigan, David C. , Frederick, Robert W., Ganley, Theodore J. , Gatt, Charles J. , Gecha, Steven R., Hame, Sharon L. , Hannafin, Jo A., Harner, Christopher D. , Harris, Norman Lindsay, Hechtman, Keith S., Hershman, Elliott B., Hoellrich, Rudolf G., Johnson, David C. , Kaeding, Christopher C., Kamath, Ganesh V. , Klootwyk, Thomas E., Levy, Bruce A. , Benjamin, C. , Maiers, G. Peter, Marx, Robert G. , Matava, Matthew J. , Mathien, Gregory M., McCormack, Robert G. , Miller, Bruce S., Nissen, Carl W. , O’Neill, Daniel F., Parker, Richard D., Purnell, Mark L., Ramappa, Arun J. , Rauh, Michael A. , Rettig, Arthur C., Sekiya, Jon K., Shea, Kevin G. , Slauterbeck, James R., Smith, Matthew V. , Svoboda, Steven J. , Taft, Timothy N., Tenuta, Joachim J., Tingstad, Edwin M., Vidal, Armando F. , Viskontas, Darius G., White, Richard A., Wolcott, Michelle L., York, James J. , Group, The MARS, Pennings, Jacquelyn S. , Allen, Christina R. , DeBerardino, Thomas M. , Spindler, Kurt P , Stuart, Michael J. , Brophy, Robert H. , Cox, Charles L. , David, Tal S. , Giffin, J. Robert , Johnson, David C., Johnson, Timothy S. , Jones, Morgan H. , Kaeding, Christopher C. , McAllister, David R. , McCarty, Eric C. , Miller, Bruce S., Owens, Brett D. , Sherman, Orrin H. , Spang, Jeffrey T. , Vidal, Armando F. , Williams, James S. , Wolf, Brian R.

The American Journal of Sports Medicine | November 6, 2024 | Volume: 52 | Issue: 13 | Pages: 3286-3294

10.1177/03635465241288227 | PMID 39503722 Get It

Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown. Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient’s outcome at 6-year follow-up. Study Design: Cohort study; Level of evidence, 2. Methods: Patients who underwent revision ACL reconstruction were identified and prospectively enrolled between 2006 and 2011. Data collected included baseline patient characteristics, surgical technique and pathology, and a series of validated patient-reported outcome instruments: Knee injury and Osteoarthritis Outcome Score (KOOS), International Knee Documentation Committee (IKDC) subjective form, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Marx activity rating score. Patients were followed up for 6 years and asked to complete the identical set of outcome instruments. Regression analysis was used to control for baseline patient characteristics and surgical variables to assess the surgical risk factors for clinical outcomes 6 years after surgery. Results: A total of 1234 patients were enrolled (716 men, 58%; median age, 26 years), and 6-year follow-up was obtained on 79% of patients (980/1234). Using an interference screw for femoral fixation compared with a cross-pin resulted in significantly better outcomes in 6-year IKDC scores (odds ratio [OR], 2.2; 95% CI, 1.2-3.9; P = .008) and KOOS sports/recreation and quality of life subscale scores (OR range, 2.2-2.7; 95% CI, 1.2-4.8; P < .01). Use of an interference screw compared with a cross-pin resulted in a 2.6 times less likely chance of having a subsequent surgery within 6 years. Use of an interference screw for tibial fixation compared with any combination of tibial fixation techniques resulted in significantly improved scores for IKDC (OR, 1.96; 95% CI, 1.3-2.9; P = .001); KOOS pain, activities of daily living, and sports/recreation subscales (OR range, 1.5-1.6; 95% CI, 1.0-2.4; P < .05); and WOMAC pain and activities of daily living subscales (OR range, 1.5-1.8; 95% CI, 1.0-2.7; P < .05). Use of a transtibial surgical approach compared with an anteromedial portal approach resulted in significantly improved KOOS pain and quality of life subscale scores at 6 years (OR, 1.5; 95% CI, 1.02-2.2; P≤ .04). Conclusion: There are surgical variables at the time of ACL revision that can modify clinical outcomes at 6 years. Opting for a transtibial surgical approach and choosing an interference screw for femoral and tibial fixation improved patients’ odds of having a significantly better 6-year clinical outcome in this cohort.
Optimizing Anti–Myelin-Associated Glycoprotein and IgM-Gammopathy Testing for Neuropathy Treatment Evaluation
Murray, David , Gorsh, Amy P., Shelly, Shahar , Dubey, Divyanshu , Pinto, Marcus Vinícius , Ansell, Stephen M. , Skolka, Michael , Swart, Grace , Mauermann, Michelle L. , Mills, John R. , Klein, Christopher J , Triplett, James D, Shahar, Shelly , Dubey, Divyanshu , Pinto, Marcus V , Skolka, Michael P , Mauermann, Michelle L , Mills, J R , Klein, Christopher J. , Triplett, James

Neurology | November 5, 2024 | Volume: 103 | Issue: 11 | Pages: No page available

10.1212/wnl.0000000000210000 | PMID 39499873 Get It