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计算机辅助左甲状腺素剂量选择用于治疗术后甲状腺功能减退症

Computer-Assisted Levothyroxine Dose Selection for the Treatment of Postoperative Hypothyroidism.

作者信息

Barrio Martin, Raeburn Christopher D, McIntyre Robert, Albuja-Cruz Maria, Haugen Bryan R, Pozdeyev Nikita

机构信息

Division of GI, Trauma, and Endocrine Surgery, Department of Surgery; University of Colorado School of Medicine, Aurora, Colorado, USA.

Division of Endocrinology, Metabolism and Diabetes, Department of Medicine; and University of Colorado School of Medicine, Aurora, Colorado, USA.

出版信息

Thyroid. 2023 May;33(5):547-555. doi: 10.1089/thy.2023.0033. Epub 2023 Apr 20.

Abstract

Thyroid hormone replacement with levothyroxine (LT4) is a recommended treatment for patients undergoing thyroidectomy. The starting LT4 dose is frequently calculated based on the patient's weight. However, the weight-based LT4 dosing performs poorly in clinical practice, with only ∼30% of patients achieving target thyrotropin (TSH) levels at the first thyroid function testing after treatment initiation. A better way to calculate the LT4 dose for patients with postoperative hypothyroidism is needed. In this retrospective cohort study we used demographic, clinical, and laboratory data for 951 patients after thyroidectomy and several regression and classification machine learning methods to develop an LT4 dose calculator for treating postoperative hypothyroidism targeting the desired TSH level. We compared the accuracy with the current standard-of-care practice and other published algorithms and evaluated generalizability with fivefold cross-validation and out-of-sample testing. The retrospective clinical chart review showed that only 285/951 (30%) patients met their postoperative TSH goal. Obese patients were overtreated with LT4. An ordinary least squares regression based on weight, height, age, sex, calcium supplementation, and height:sex interaction predicted prescribed LT4 dose in 43.5% of all patients and 45.3% of patients with normal postoperative TSH (0.45-4.5 mIU/L). The ordinal logistic regression, artificial neural networks regression/classification, and random forest methods achieved comparable performance. LT4 calculator recommended lower LT4 doses to obese patients. The standard-of-care LT4 dosing does not achieve the target TSH in most thyroidectomy patients. Computer-assisted LT4 dose calculation performs better by considering multiple relevant patient characteristics and providing personalized and equitable care to patients with postoperative hypothyroidism. Prospective validation of LT4 calculator performance in patients with various TSH goals is needed.

摘要

用左甲状腺素(LT4)进行甲状腺激素替代是甲状腺切除术后患者的推荐治疗方法。起始LT4剂量通常根据患者体重计算。然而,基于体重的LT4给药在临床实践中效果不佳,治疗开始后首次甲状腺功能检测时只有约30%的患者达到促甲状腺激素(TSH)目标水平。需要一种更好的方法来计算术后甲状腺功能减退患者的LT4剂量。在这项回顾性队列研究中,我们使用了951例甲状腺切除术后患者的人口统计学、临床和实验室数据,以及几种回归和分类机器学习方法,来开发一种针对所需TSH水平治疗术后甲状腺功能减退的LT4剂量计算器。我们将其准确性与当前的标准治疗方法和其他已发表的算法进行了比较,并通过五重交叉验证和样本外测试评估了其可推广性。回顾性临床病历审查显示,只有285/951(30%)的患者达到了术后TSH目标。肥胖患者接受了过量的LT4治疗。基于体重、身高、年龄、性别、补钙情况和身高:性别相互作用的普通最小二乘法回归在所有患者的43.5%和术后TSH正常(0.45 - 4.5 mIU/L)患者的45.3%中预测了规定的LT4剂量。有序逻辑回归、人工神经网络回归/分类和随机森林方法取得了相当的性能。LT4计算器建议给肥胖患者较低的LT4剂量。标准治疗的LT4给药在大多数甲状腺切除术后患者中未达到目标TSH。计算机辅助的LT4剂量计算通过考虑多个相关患者特征并为术后甲状腺功能减退患者提供个性化和公平的护理,表现更好。需要对LT4计算器在不同TSH目标患者中的性能进行前瞻性验证。

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