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Ewing MA, Stoker AM, Leary EV, Bozynski CC, Luk J, Stannard JP, Cook JL. Treatment-Monitoring Capabilities of Serum and Urine Biomarkers for Meniscal Allograft Transplantation in a Preclinical Canine Model. Am J Sports Med 2022; 50:2714-2721. [PMID: 35834869 DOI: 10.1177/03635465221105481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Meniscal allograft transplantation (MAT) has been developed as a treatment for meniscal deficiency. Despite promising outcomes, there are no real-time methods to evaluate graft survivorship and predict functional outcomes. HYPOTHESIS Assessment of serum and urine biomarkers could be used to develop biomarker panels-prognostic (1- and 3-month postsurgical time points) and diagnostic (6-month time point)-based on strong associations with clinically relevant outcome metrics obtained 6 months after surgery. STUDY DESIGN Descriptive laboratory study. METHODS Twelve adult purpose-bred research hounds were included and underwent medial meniscal release to induce meniscal deficiency. Three months after meniscal release surgery, medial menisci were replaced with fresh-frozen meniscus (n = 4), fresh meniscus (n = 4), or fresh meniscotibial osteochondral allograft (n = 4) such that a spectrum of pain and functional outcomes could be anticipated. Serum and urine from all dogs were collected preoperatively and at 1, 3, and 6 months after MAT surgery. Dogs were assessed for pain-related and functional outcomes at the same time points. To develop a prognostic panel of biomarkers, biomarker data from the 1- and 3-month post-MAT surgery time points were used to model 6-month clinical outcomes. A diagnostic panel of biomarkers was developed using data from the 6-month post-MAT surgery to model 6-month clinical outcomes. Primary outcomes for pain and function were visual analog scale (VAS) and operated limb percentage total pressure index (%TPI), respectively. Using random subject effects, linear mixed models were used to develop prognostic biomarker panels, and linear fixed-effect models were used to develop diagnostic biomarker panels, with variance explained for each panel reported (R2) along with individual biomarker relationships. RESULTS Across prognostic biomarker panels, a panel including serum IL-6, IL-8, IL-10, and IL-18 was fit for the primary functional outcome, operated limb %TPI (R2 = 0.450), whereas a panel including serum CTX-II and OPG was fit for the primary pain-related outcome, VAS (R2 = 0.516). Across diagnostic biomarker panels, a panel including serum MMP-1 and MMP-3 and urine PINP and TIMP-1 was fit for %TPI (R2 = 0.863). Separately, a panel including urine CTX-I, CTX-II, IL-8, MMP-2, and TIMP-1 was fit as diagnostic biomarkers for the VAS for pain (R2 = 0.438). CONCLUSION Biomarker panels of selected serum and/or urine proteins can model clinically relevant metrics for function and pain in a preclinical model of MAT. CLINICAL RELEVANCE Biomarker panels could be used to provide real-time diagnostic and prognostic data regarding outcomes after MAT.
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Affiliation(s)
- Michael A Ewing
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA
| | - Aaron M Stoker
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA.,Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, Missouri, USA
| | - Emily V Leary
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA.,Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, Missouri, USA
| | - Chantelle C Bozynski
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA.,Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, Missouri, USA
| | - Josephine Luk
- Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, Missouri, USA
| | - James P Stannard
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA
| | - James L Cook
- Department of Orthopaedic Surgery, University of Missouri, Columbia, Missouri, USA.,Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, Missouri, USA
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Salem HS, Huston LJ, Zajichek A, McCarty EC, Vidal AF, Bravman JT, Spindler KP, Frank RM, Amendola A, Andrish JT, Brophy RH, Jones MH, Kaeding CC, Marx RG, Matava MJ, Parker RD, Wolcott ML, Wolf BR, Wright RW. Anterior Cruciate Ligament Reconstruction With Concomitant Meniscal Repair: Is Graft Choice Predictive of Meniscal Repair Success? Orthop J Sports Med 2021; 9:23259671211033584. [PMID: 34541016 PMCID: PMC8445540 DOI: 10.1177/23259671211033584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 03/19/2021] [Indexed: 11/16/2022] Open
Abstract
Background When meniscal repair is performed during anterior cruciate ligament (ACL) reconstruction (ACLR), the effect of ACL graft type on meniscal repair outcomes is unclear. Hypothesis The authors hypothesized that meniscal repairs would fail at the lowest rate when concomitant ACLR was performed with bone--patellar tendon--bone (BTB) autograft. Study Design Cohort study; Level of evidence, 3. Methods Patients who underwent meniscal repair at primary ACLR were identified from a longitudinal, prospective cohort. Meniscal repair failures, defined as any subsequent surgical procedure addressing the meniscus, were identified. A logistic regression model was built to assess the association of graft type, patient-specific factors, baseline Marx activity rating score, and meniscal repair location (medial or lateral) with repair failure at 6-year follow-up. Results A total of 646 patients were included. Grafts used included BTB autograft (55.7%), soft tissue autograft (33.9%), and various allografts (10.4%). We identified 101 patients (15.6%) with a documented meniscal repair failure. Failure occurred in 74 of 420 (17.6%) isolated medial meniscal repairs, 15 of 187 (8%) isolated lateral meniscal repairs, and 12 of 39 (30.7%) of combined medial and lateral meniscal repairs. Meniscal repair failure occurred in 13.9% of patients with BTB autografts, 17.4% of patients with soft tissue autografts, and 19.4% of patients with allografts. The odds of failure within 6 years of index surgery were increased more than 2-fold with allograft versus BTB autograft (odds ratio = 2.34 [95% confidence interval, 1.12-4.92]; P = .02). There was a trend toward increased meniscal repair failures with soft tissue versus BTB autografts (odds ratio = 1.41 [95% confidence interval, 0.87-2.30]; P = .17). The odds of failure were 68% higher with medial versus lateral repairs (P < .001). There was a significant relationship between baseline Marx activity level and the risk of subsequent meniscal repair failure; patients with either very low (0-1 points) or very high (15-16 points) baseline activity levels were at the highest risk (P = .004). Conclusion Meniscal repair location (medial vs lateral) and baseline activity level were the main drivers of meniscal repair outcomes. Graft type was ranked third, demonstrating that meniscal repairs performed with allograft were 2.3 times more likely to fail compared with BTB autograft. There was no significant difference in failure rates between BTB versus soft tissue autografts. Registration NCT00463099 (ClinicalTrials.gov identifier).
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Affiliation(s)
| | - Laura J Huston
- Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexander Zajichek
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | | | | | | | - Kurt P Spindler
- Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA
| | | | | | - Annunziato Amendola
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Jack T Andrish
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Robert H Brophy
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Morgan H Jones
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Christopher C Kaeding
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Robert G Marx
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Matthew J Matava
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Richard D Parker
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Michelle L Wolcott
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Brian R Wolf
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
| | - Rick W Wright
- CU Sports Medicine, Boulder, Colorado, USA.,Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Orthopaedics, Cleveland Clinic Foundation, Garfield Heights, Ohio, USA.,Investigation performed at Cleveland Clinic, Cleveland, Ohio, USA; Vanderbilt University, Nashville, Tennessee, USA; and University of Colorado, Boulder, Colorado, USA
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