The Association of Glycemic Control Medication Regimens and Preoperative Fructosamine Among Total Joint Artrhoplasty Patients.

IF 2.6 2区 医学 Q1 ORTHOPEDICS
Eric H Tischler, Juan D Lizcano, Noam Shohat, Majd Tarabichi, Camilo Restrepo, Javad Parvizi
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引用次数: 0

Abstract

Background: Although glycated hemoglobin A1C (HbA1c) has classically been used for glycemic control screening before surgery, fructosamine, a short-term glucose variability indicator, has been reported to be a more accurate predictor of postoperative periprosthetic joint infection among patients with diabetes mellitus (DM). Given the variability of diabetic medication management, this study aims to identify the associated effect of glycemic control medication regimen (GCMR) on the incidence rate and associated odds of abnormal preoperative fructosamine levels among diabetic primary total knee arthroplasty or total hip arthroplasty patients.

Methods: Between 2017 and 2018, consecutive series of total hip arthroplasty and total knee arthroplasty patients were identified, and the final cohort included only diabetic patients. All patients reported preoperative HbA1c and fructosamine levels. GCMR categories included insulin, metformin, and other. Independent risk of GCMR and abnormal fructosamine levels (>293 µmol/L) were identified using multivariable logistic regression, while controlling for preoperative baseline factors including HbA1C.

Results: Among 420 patients, 15.7% (66/420) were diabetic, of whom 22.7% (15/66) reported an abnormal fructosamine level. Among patients requiring GCMR, 24.0% (18/75), 56.0% (42/75), and 77.7% (58/75) reported using insulin, other, and metformin, respectively. Multivariable logistic regressions demonstrated that insulin-dependent patients with DM reported a 1.71 (95% confidence interval [CI], 0.096 to 30.213, P = 0.716) increased odds of abnormal fructosamine levels compared with nonactive GCMR patients, whereas patients managed with metformin and other glycemic control medications reported a protective 0.48 (95% CI, 0.418 to 5.407, P = 0.549) and 0.32 (95% CI, 0.216 to 4.508, P = 0.393) decreased odds of abnormal fructosamine levels, respectively.

Conclusion: In this study, insulin and other GCMR medications exhibited a trend for increased and decreased odds of having abnormal preoperative fructosamine levels while controlling for baseline HbA1c level compared with patients with DM without active GCMR. This association may be explained by multifactorial short-term glucose variability in insulin users, indicating the continued need and optimization of short-term glycemic variations instead of HbA1c.

全关节人工关节置换术患者的血糖控制用药方案与术前果糖胺的关系。
背景:尽管糖化血红蛋白 A1C(HbA1c)一直被用于术前血糖控制筛查,但据报道,果糖胺(一种短期血糖变化指标)是糖尿病(DM)患者术后假体周围关节感染的更准确预测指标。鉴于糖尿病药物管理的变异性,本研究旨在确定血糖控制药物治疗方案(GCMR)对糖尿病初治全膝关节置换术或全髋关节置换术患者术前果糖胺水平异常的发生率和相关几率的相关影响:2017年至2018年期间,对连续系列的全髋关节置换术和全膝关节置换术患者进行了鉴定,最终队列仅包括糖尿病患者。所有患者均报告了术前 HbA1c 和果糖胺水平。GCMR 类别包括胰岛素、二甲双胍和其他。使用多变量逻辑回归确定了 GCMR 和果糖胺水平异常(>293 µmol/L)的独立风险,同时控制了包括 HbA1C 在内的术前基线因素:在 420 名患者中,15.7%(66/420)患有糖尿病,其中 22.7%(15/66)报告果糖胺水平异常。在需要进行 GCMR 的患者中,24.0%(18/75)、56.0%(42/75)和 77.7%(58/75)分别报告使用了胰岛素、其他药物和二甲双胍。多变量逻辑回归结果表明,胰岛素依赖型 DM 患者的血脂异常几率为 1.71(95% 置信区间 [CI],0.096 至 30.213,P = 0.716)的果糖胺水平异常几率增加,而使用二甲双胍和其他血糖控制药物的患者果糖胺水平异常几率分别降低了0.48(95% CI,0.418至5.407,P = 0.549)和0.32(95% CI,0.216至4.508,P = 0.393):在这项研究中,与没有活动性 GCMR 的 DM 患者相比,在控制基线 HbA1c 水平的情况下,胰岛素和其他 GCMR 药物显示出术前果糖胺水平异常几率增加和降低的趋势。胰岛素使用者的短期血糖变化可能是造成这种关联的多因素原因,这表明仍有必要优化短期血糖变化,而不是 HbA1c。
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来源期刊
CiteScore
6.10
自引率
6.20%
发文量
529
审稿时长
4-8 weeks
期刊介绍: The Journal of the American Academy of Orthopaedic Surgeons was established in the fall of 1993 by the Academy in response to its membership’s demand for a clinical review journal. Two issues were published the first year, followed by six issues yearly from 1994 through 2004. In September 2005, JAAOS began publishing monthly issues. Each issue includes richly illustrated peer-reviewed articles focused on clinical diagnosis and management. Special features in each issue provide commentary on developments in pharmacotherapeutics, materials and techniques, and computer applications.
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