腹腔镜Nissen胃底折叠术学习曲线的研究:采用累积和(CUSUM)法及多元回归分析聚焦神经肌肉疾病患者的手术时间
A study of the learning curve for laparoscopic Nissen fundoplication procedure, focusing on operative times using cumulative sum (CUSUM) method and multiple regression analysis for patients with neuromuscular disease.
文献信息
| PMID | 42720757 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Kazuo Oshima |
| 作者单位 | Department of Pediatric Surgery, Aichi Developmental Disability Center Central Hospital, 713-8 Kagiya-cho, Kasugai-shi, Aichi-ken, 480-0392, Japan. oshima_kazuo@aichi-colony.jp. |
| 期刊 | Pediatric surgery international |
| SCI 分区 | Q2 |
| IF | 1.8 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 咽喉科 |
中文摘要
目的: 达到腹腔镜Nissen胃底折叠术(Lap-Nissen)熟练程度所需病例数仍不明确。我们采用累积和(CUSUM)法分析手术时间以构建学习曲线并估计所需病例量。
方法: 我们回顾性分析了自2008年10月起在本机构接受Lap-Nissen的患者。使用CUSUM分析构建每位外科医生的学习曲线,并通过分段线性回归分为三个阶段(I-III)。
结果: 共分析109例。对于外科医生A(n = 46),平均手术时间在各阶段下降:I期(第1-8例,299.4分钟)、II期(第9-32例,217.7分钟)和III期(第33-46例,179.6分钟)。外科医生B(n = 42)观察到类似趋势:I期(第1-5例,328.2分钟)、II期(第6-30例,204.4分钟)和III期(第31-42例,179.5分钟)。外科医生C(n = 14)未呈现明确的学习曲线,外科医生D-F因病例数少而被排除。多元回归分析确定外科医生的经验是与手术时间相关的最强因素(β = -0.53,p < 0.001)。
结论: I期约包括5例,而II期包括超过30例。有必要开展更大规模的多中心前瞻性研究。
英文摘要
PURPOSE: The number of cases necessary to achieve proficiency in laparoscopic Nissen fundoplication (Lap-Nissen) remains unclear. We analyzed operative times using the cumulative sum (CUSUM) method to construct learning curves and estimate the required case volume.
METHODS: We retrospectively reviewed patients who underwent Lap-Nissen at our institution beginning in October 2008. Learning curves for each surgeon were constructed using CUSUM analysis and divided into three phases (I-III) by piecewise linear regression.
RESULTS: A total of 109 cases were analyzed. For surgeon A (n = 46), the mean operative time decreased across phases I (cases 1-8, 299.4 min), II (9-32, 217.7 min), and III (33-46, 179.6 min). Similar trends were observed for surgeon B (n = 42): I (1-5, 328.2 min), II (6-30, 204.4 min), and III (31-42, 179.5 min). Surgeon C (n = 14) delivered no clear learning curve, and surgeons D-F were excluded due to low case numbers. Multiple regression analysis identified the surgeons' experience as the strongest factor associated with operative time (β = - 0.53, p < 0.001).
CONCLUSION: Phase I comprised approximately five cases, while phase II included more than 30 cases. Larger multicenter prospective studies are warranted.