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基于树的统计学习评估用于估计外伤性断指最佳个体化治疗决策规则。

Assessment of Tree-Based Statistical Learning to Estimate Optimal Personalized Treatment Decision Rules for Traumatic Finger Amputations.

机构信息

Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor.

Section of Plastic Surgery, Michigan Medicine, Ann Arbor.

出版信息

JAMA Netw Open. 2020 Feb 5;3(2):e1921626. doi: 10.1001/jamanetworkopen.2019.21626.

Abstract

IMPORTANCE

Optimal treatment for traumatic finger amputation is unknown to date.

OBJECTIVE

To use statistical learning methods to estimate evidence-based treatment assignment rules to enhance long-term functional and patient-reported outcomes in patients after traumatic amputation of fingers distal to the metacarpophalangeal joint.

DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model used data from a retrospective cohort study of 338 consenting adult patients who underwent revision amputation or replantation at 19 centers in the United States and Asia from August 1, 2016, to April 12, 2018. Of those, data on 185 patients were included in the primary analysis.

EXPOSURES

Treatment with revision amputation or replantation.

MAIN OUTCOMES AND MEASURES

Outcome measures were hand strength, dexterity, hand-related quality of life, and pain. A tree-based statistical learning method was used to derive clinical decision rules for treatment of traumatic finger amputation.

RESULTS

Among 185 study participants (mean [SD] age, 45 [16] years; 156 [84%] male), the median number of fingers amputated per patient was 1 (range, 1-5); 115 amputations (62%) were distal to the proximal interphalangeal joint, and 110 (60%) affected the nondominant hand. On the basis of the tree-based statistical learning estimates, to maximize hand dexterity or to minimize patient-reported pain, replantation was found to be the best strategy. To maximize hand strength, revision amputation was the best strategy for patients with a single-finger amputation but replantation was preferred for all other injury patterns. To maximize patient-reported quality of life, revision amputation was the best approach for patients with dominant hand injuries, and replantation was the best strategy for patients with nondominant hand injuries.

CONCLUSIONS AND RELEVANCE

The findings suggest that the approach to treating traumatic finger amputations varies based on the patient's injury characteristics and functional needs.

摘要

重要性

目前对于外伤性手指离断伤的最佳治疗方法尚不清楚。

目的

使用统计学习方法来估计基于证据的治疗分配规则,以提高掌指关节远端外伤性手指离断伤患者的长期功能和患者报告结局。

设计、地点和参与者:本决策分析模型使用了来自美国和亚洲 19 个中心的 338 名同意参与的成年患者的回顾性队列研究数据,这些患者于 2016 年 8 月 1 日至 2018 年 4 月 12 日期间接受了修正性截肢或再植术。其中,185 名患者的数据纳入了主要分析。

暴露情况

治疗方法为修正性截肢或再植术。

主要结局和测量指标

结局测量指标包括手部力量、灵巧性、手部相关生活质量和疼痛。使用基于树的统计学习方法得出治疗外伤性手指离断伤的临床决策规则。

结果

在 185 名研究参与者中(平均[标准差]年龄为 45[16]岁;156[84%]为男性),每位患者平均截肢手指数为 1(范围为 1-5);115 例(62%)发生在近节指间关节远端,110 例(60%)发生在非优势手。基于基于树的统计学习估计,为了最大限度地提高手部灵巧性或最小化患者报告的疼痛,再植术被认为是最佳策略。为了最大限度地提高手部力量,对于单指离断伤患者,修正性截肢术是最佳策略,但对于所有其他损伤模式,再植术则更受青睐。为了最大限度地提高患者报告的生活质量,对于优势手损伤患者,修正性截肢术是最佳方法,对于非优势手损伤患者,再植术则是最佳策略。

结论和相关性

研究结果表明,外伤性手指离断伤的治疗方法因患者的损伤特征和功能需求而异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4921/7043191/abac3ddf748a/jamanetwopen-3-e1921626-g001.jpg

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