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Maintenance of Surgical Optimization in Total Joint Arthroplasty Patients.
Dietz, Matthew J; Chaharbakhshi, Edwin O; Roberts, Austin J; Gilligan, Patrick H; Kasicky, Kathryn R; Pincavitch, Jami D.
Afiliação
  • Dietz MJ; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
  • Chaharbakhshi EO; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
  • Roberts AJ; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
  • Gilligan PH; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
  • Kasicky KR; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
  • Pincavitch JD; Department of Orthopaedics, Health Sciences Center, WVU School of Medicine, Morgantown, West Virginia.
J Arthroplasty ; 39(7): 1650-1655.e1, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38216000
ABSTRACT

BACKGROUND:

There are increased efforts to maximize medical optimization to improve the outcomes of total joint arthroplasty (TJA). However, there is a paucity of literature demonstrating that optimized parameters are maintained throughout the perioperative period.

METHODS:

A retrospective review of 877 elective TJA patients from 2015 to 2019 was conducted. Patients who underwent medical optimization for body mass index (BMI), hemoglobin A1c (HbA1c), hemoglobin, albumin, and smoking status were reviewed at the initial visit, preoperatively, time of surgery, and one year postoperatively. For each of these variables at each time point, patients were stratified into 3 optimization groups. Analyses were performed to identify mean time to optimization, loss of optimization, and maintenance of optimization.

RESULTS:

Patients considered not optimized due to specific parameters at the initial visit were as follows BMI (19%), HbA1c (13.5%), hemoglobin (16%), albumin (19%), and smoking status (9.5%). The mean time to optimization was 187.7 days [longest being BMI (220.1 days), and the shortest being HbA1c (60.9 days) (P = .0003)]. Patients who had intermediate optimization of BMI at the preoperative visit were at higher risk [odds ratio 2.1 (0.97 to 4.6)] of worsening BMI by time of surgery (P < .0001). Between the preoperative and surgery time points, over 93.5% of patients maintained or improved optimization.

CONCLUSIONS:

Surgeon led medical optimization efforts alongside a TJA program provide maintenance of, or improvement in optimization in more than half of TJA patients up to one year postoperatively. Patients who had a BMI between 40 and 45 at the preoperative visit are at significant risk of increasing their BMI by the day of surgery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hemoglobinas Glicadas / Índice de Massa Corporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hemoglobinas Glicadas / Índice de Massa Corporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article