Department of Surgery, Division of Head and Neck Surgery & Communication Sciences, Duke University Medical Center, Durham, North Carolina.
Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Hospital, Toronto, Ontario, Canada.
JAMA Otolaryngol Head Neck Surg. 2016 Dec 1;142(12):1199-1205. doi: 10.1001/jamaoto.2016.2860.
Intraoperative nerve monitoring (IONM) of the recurrent laryngeal nerve (RLN) is used as a tool to decrease the rate of nerve injury, although study findings are divergent on IONM efficacy. The cost-effectiveness of this approach to total thyroidectomy has not been well studied.
To determine whether IONM is a cost-effective intervention in the setting of total thyroidectomy.
This study creates a decision-tree model of total thyroidectomy to analyze, from a societal perspective, the cost-effectiveness of universal IONM (ie, use in every case) vs selective IONM (ie, high-risk cases including reoperative cases, substernal or toxic goiters, and cases with known cancer) vs no IONM (visual identification only). Parameters for the model were derived from review of the literature, and deterministic and probabilistic analyses were performed to test the model's robustness. All analyses were performed from the model; there were no human participants.
Modeled total thyroidectomy with and without IONM of the RLN.
Cost-effectiveness of universal IONM vs selective IONM vs visual identification only of the RLN.
Visual identification of the RLN led to a cost savings of $179.40 and $683.20 per patient, and an improvement of 0.001 and 0.004 quality-adjusted life-years, over selective IONM and universal IONM, respectively. Visual identification was the most cost-effective approach, despite variations in costs and utilities in both deterministic and probabilistic sensitivity analyses. In a 1-way sensitivity analysis, decreasing the probability of RLN injury with IONM made selective IONM more cost-effective. When the rate of RLN injury for visual identification was kept constant (at 3.86%), selective IONM became the most cost-effective approach when its RLN injury rate dropped below 1.9%. As the rate of RLN injury with IONM dropped below 50.4% of the visual identification RLN injury rate, selective IONM became the most cost-effective approach.
Visual identification of the RLN is more cost-effective than any use of IONM. If a clinician can, with use of IONM, decrease the rate of RLN injury by 50.4% or more compared with visual identification, selective use of IONM in high-risk cases is most cost-effective.
尽管研究结果对术中神经监测(IONM)的疗效存在分歧,但 IONM 仍然被用作降低神经损伤率的工具。IONM 在甲状腺全切除术中的成本效益尚未得到充分研究。
确定 IONM 是否是甲状腺全切除术的一种具有成本效益的干预措施。
本研究创建了甲状腺全切除术的决策树模型,从社会角度分析了通用 IONM(即,用于每种情况)与选择性 IONM(即,高风险病例,包括再次手术病例、胸骨后或毒性甲状腺肿病例和已知癌症病例)与无 IONM(仅视觉识别)的成本效益。模型参数来自文献回顾,进行了确定性和概率分析以测试模型的稳健性。所有分析均在模型中进行,没有人类参与者。
模型化的甲状腺全切除术伴或不伴 RLN 的 IONM。
通用 IONM 与选择性 IONM 与 RLN 仅视觉识别的成本效益。
与选择性 IONM 和通用 IONM 相比,RLN 的视觉识别分别使每位患者的成本降低了 179.40 美元和 683.20 美元,并且提高了 0.001 和 0.004 个质量调整生命年。尽管在确定性和概率敏感性分析中,成本和效用都存在变化,但视觉识别仍然是最具成本效益的方法。在单向敏感性分析中,IONM 降低 RLN 损伤的概率使选择性 IONM 更具成本效益。当保持 RLN 损伤的视觉识别概率不变(为 3.86%)时,当选择性 IONM 的 RLN 损伤率下降到 1.9%以下时,选择性 IONM 成为最具成本效益的方法。随着 IONM 导致 RLN 损伤的比率降至视觉识别 RLN 损伤率的 50.4%以下,选择性 IONM 成为最具成本效益的方法。
RLN 的视觉识别比任何 IONM 的使用都更具成本效益。如果临床医生可以使用 IONM 将 RLN 损伤的发生率降低 50.4%或更多,则在高风险病例中选择性使用 IONM 是最具成本效益的。