Preoperative Patient-Centric Predictors of Postoperative Outcomes in Patients Undergoing Arthroscopic Meniscectomy.

Purpose: To determine the minimal clinically important difference (MCID) using Patient-Reported Outcome Measurement Information System (PROMIS) computer-adaptive testing assessments in patients undergoing arthroscopic partial meniscectomy. The secondary purpose was to identify which preoperative pat...

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Publicado en:Arthroscopy: The Journal of Arthroscopy & Related Surgery Vol. 37; no. 3; pp. 964 - 972
Autores principales: Franovic, Sreten, Kuhlmann, Noah A., Pietroski, Alex, Schlosser, Collin T., Page, Brendan, Okoroha, Kelechi R., Moutzouros, Vasilios, Makhni, Eric C.
Formato: Journal Article
Publicado: Wiley-Blackwell Mar2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2021
      vid: 37
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        148982580
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        NLM33144235
        10.1016/j.arthro.2020.10.042
        NLM33144235
        148982580
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        atl: Preoperative Patient-Centric Predictors of Postoperative Outcomes in Patients Undergoing Arthroscopic Meniscectomy.
      aug:
        au:
          Franovic, Sreten
          Kuhlmann, Noah A.
          Pietroski, Alex
          Schlosser, Collin T.
          Page, Brendan
          Okoroha, Kelechi R.
          Moutzouros, Vasilios
          Makhni, Eric C.
        affil: Henry Ford Health System, Detroit, Michigan, U.S.A.
      sug:
        subj:
          Patient Centered Care
          Arthroscopy
          Probability
          Odds Ratio
          Aged
          Middle Age
          ROC Curve
          Male
          Adult
          Female
          Postoperative Period
          Scales
          Aged: 65+ years
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Male
          Female
      ab: Purpose: To determine the minimal clinically important difference (MCID) using Patient-Reported Outcome Measurement Information System (PROMIS) computer-adaptive testing assessments in patients undergoing arthroscopic partial meniscectomy. The secondary purpose was to identify which preoperative patient factors are associated with MCID achievement.Methods: Three PROMIS computer-adaptive testing assessments (Physical Function [PF], Pain Interference [PI], and Depression [D]) were administered to all patients presenting to 1 of 2 board-certified, sports medicine orthopaedic surgeons. Patients with Current Procedural Terminology codes of 29880 or 29881 were chart reviewed for a host clinical and demographic factors. PROMIS scores were assessed for improvement and patient characteristics were assessed for influence on any improvement. MCID was calculated according to the distribution methodology and receiver operating characteristics were used to assess preoperative scores predictive ability.Results: In total, 166 patients met inclusion criteria (58 exclusions). Postoperative PROMIS-PF (45.6), PROMIS-PI (54.6), and PROMIS-D (44.1) significantly improved at least 3 months after surgery when compared with baseline (P = .002). MCID values for PROMIS-PF, PROMIS-PI, and PROMIS-D were 3.5, 3.3, and 4.4, respectively. Individuals with PROMIS-PF scores below 34.9 yielded an 82% probability of achieving MCID, while PROMIS-PI scores above 67.5 yielded an 86% probability of achieving MCID and a cutoff of 58.9 for PROMIS-D yielded a 60% probability of achieving MCID, with 90% specificity.Conclusions: PROMIS scores, obtained preoperatively, were shown to be valid predictors of postoperative clinical improvement in patients undergoing meniscectomy. Our findings suggest that patients with physical function scores of 34.9 or less have an increased probability of reaching a minimal clinically important difference. Similarly, patients with pain interference scores of 67.5 and above have increased probability of reaching MCID for pain interference. These cutoffs may be used by physicians to aid in the counseling of patients considering arthroscopic meniscectomy.Level Of Evidence: IV, Case Series.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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