Back to Authors

Poploski, Kathleen M.

https://orcid.org/0000-0002-0554-2787

Mayo Clinic

University of Pittsburgh

Citations 2

Presentation and Surgical Management of Multiple Ligament Knee Injuries
Poploski, Kathleen M. , Lynch, Andrew D. , Burns, Travis C. , Harner, Christopher D. , Levy, Bruce A. , Owens, Brett D. , Richter, Dustin L. , Musahl, Volker , Irrgang, James J. , Network, the STaR Trial for Multiple Ligament Knee Injuries, Musahl, Volker , Irrgang, James J , Schenck, Robert C. , Network, the STaR Trial for Multiple Ligament Knee Injuries

Journal of Bone and Joint Surgery | February 24, 2023 | Volume: 105 | Issue: 8 | Pages: 607-613

10.2106/jbjs.20.02051 Get It

Update This article was updated on May 12, 2023, because of a previous error. In the Note on page 612, Byson P. Lesniak, MD, had not been listed as a member of the STaR Trial for Multiple Ligament Knee Injuries Network. The Note now reads “The STaR Trial for Multiple Ligament Knee Injuries Network includes Robert Arciero, MD; Brandee S. Black, MD; Catherine M. Coady, MD, FRSCS; Jonathan M. Cooper, DO; Katherine J. Coyner, MD; Cory M. Edgar, MD, PhD; Al M.J. Getgood, MD, FRCS(Tr&Orth); Joe M. Hart, PhD, ATC; Jonathan D. Hodax, MD, MS; Jonathan D. Hughes, MD; Cale A. Jacobs, PhD, ATC; Darren L. Johnson, MD; Ryan M. Khan, MSc, CCRP; Byson P. Lesniak, MD; Jeffrey A. Macalena, MD; Robert G. Marx, MD; Mark D. Miller, MD; Bradley Nelson, MD; Alicia Oostdyk, PhD; Charity G. Patterson, PhD, MSPH; Adam J. Popchak, PT, PhD; Anil S. Ranawat, MD; Michael J. Stuart, MD; Caroline E. Taber, AB; Ryan J. Warth, MD; Daniel B. Whelan, MD, MSc, FRCSC; and Isabel Wolfe, BS.” An erratum has been published: J Bone Joint Surg Am. 2023 Jun 21;105(12):e33. Background: Multiple ligament knee injuries (MLKIs) represent a spectrum of injury patterns that are often associated with concomitant musculoskeletal and neurovascular injuries, complex treatment, and postoperative complications. However, there has not been high-level evidence describing the presentation and treatment of MLKIs. The purpose of this multicenter retrospective study was to describe characteristics of MLKIs, their management, and related complications using a pathoanatomic MLKI classification system based on the Schenck Knee Dislocation classification system. Methods: This review identified and analyzed MLKIs that occurred between 2011 and 2015. Cases with an MLKI were included in this study if there was a complete tear of ≥2 ligaments and at least 1 ligament was repaired or reconstructed. Cases in which a ligament was deemed clinically incompetent due to a partial ligament tear and required surgical repair or reconstruction were considered equivalent to grade-III tears for inclusion and classification. Demographic information, the mechanism of injury, times from injury to presentation to an orthopaedic surgeon and to surgery, the ligament injury pattern, associated injuries, surgical procedures, and complications were captured. Data were analyzed descriptively. Results: A total of 773 individuals from 14 centers who underwent surgery for an MLKI were reviewed. The mean age of the individuals was 30.5 ± 12.7 years, and 74.2% were male. The most common mechanism involved sports (43.2%). The median time from injury to presentation to the orthopaedic surgeon was 11 days (interquartile range [IQR], 3 to 48 days), and the time to initial ligament surgery was 64 days (IQR, 23 to 190 days). While the most common injury patterns were an anterior cruciate ligament tear combined with either a medial-sided (MLK 1-AM, 20.7%) or lateral-sided (MLK 1-AL, 23.2%) injury, one-third (34.7%) were bicruciate injuries. Associated injuries most often involved menisci (55.6%), nerves (18.5%) and tendons (15.6%). The method of surgical intervention (repair versus reconstruction), external fixator use, and staging of procedures varied by MLKI classification. Loss of motion (11.4%) was the most common postoperative complication. Conclusions: A better understanding of the clinical characteristics and management of the various MLKI patterns can be used to support clinical decision-making and individualized treatment of these complex injuries, and may ultimately lead to enhanced outcomes and reduced associated risks. Level of Evidence: Therapeutic Level IV . See Instructions for Authors for a complete description of levels of evidence.
Altered Physical Performance Following Advanced Special Operations Tactical Training
Winters, Joshua D. , Johnson, Alexa K. , Poploski, Kathleen M. , Royer, Scott D., Nagai, Takashi , Randall, Carson A., Abt, John P. , Lephart, Scott M., Nagai, Takashi , Heebner, Nicholas R.

Journal of Strength & Conditioning Research | April 13, 2019 | Volume: 35 | Issue: 7 | Pages: 1809-1816

10.1519/jsc.0000000000003087 Get It

Abstract Winters, JD, Heebner, NR, Johnson, AK, Poploski, KM, Royer, SD, Nagai, T, Randall, CA, Abt, JP, and Lephart, SM. Altered physical performance following advanced special operations tactical training. J Strength Cond Res 35(7): 1809–1816, 2021—The purpose of this study was to determine how the unique challenges of specific military tactical training phases influence overall physical performance characteristics. Broad jump, 5-10-5, 300-yd shuttle, percent body fat (%BF), anaerobic power (AP) and anaerobic capacity (AC), maximal oxygen uptake (V̇ o 2 max), isokinetic knee extension/flexion strength, shoulder internal/external rotation strength, and trunk extension/flexion strength were collected on 73 United States Marine Corps Forces Special Operations Command (MARSOC) students (age: 27.4 ± 3.8 years, height: 178.7 ± 6.6 cm, and body mass: 85.8 ± 9.4 kg) at the beginning of (P1), in between (P2), and at the completion of 2 distinct tactical training phases (P3). Linear mixed models were used to analyze within-subject performance changes over the 3 time points, and post hoc Bonferroni pairwise comparisons analyzed performance changes between each testing time point. There were significant changes in broad jump ( p < 0.0001), 5-10-5 agility time ( p < 0.001), %BF ( p = 0.011), AP ( p < 0.0001), V̇ o 2 max ( p = 0.001), and both right and left shoulder internal rotation strength ( p = 0.004 and p = 0.015, respectively) between P1 and P2. There were also significant changes in 300-yd shuttle run time ( p = 0.001), AP ( p < 0.0001), AC ( p < 0.0001), left knee extension strength ( p = 0.006), trunk flexion strength ( p < 0.0001), and left shoulder external rotation strength (0.027) between P2 and P3. Identifying the effect that specific tactical training phases may have on physical performance will allow for the development of effective phase-specific evidence-based human performance programs, reducing performance deficits and thereby reducing the risk of injury.