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1.陆军军医大学(第三军医大学)第一附属医院:,运动医学中心,(第三军医大学)第一附属医院江北院区(陆军军第九五八医院)骨科,重庆
2.陆军军医大学(第三军医大学)第一附属医院:,关节外科中心,(第三军医大学)第一附属医院江北院区(陆军军第九五八医院)骨科,重庆
3.陆军军医大学(第三军医大学)第一附属医院:,陆军军医大学,(第三军医大学)第一附属医院江北院区(陆军军第九五八医院)骨科,重庆
4.Hospital of PLA Army, Chongqing, China
刘力铭,E-mail:307547149@qq.com
郭 林,E-mail:guolin6212@163.com
收稿:2025-08-18,
修回:2025-11-13,
录用:2025-11-14,
纸质出版:2025-11-30
移动端阅览
余尚委,曾科,熊然,等.智能云平台随访模式可改善全膝关节置换术后关节活动度并降低随访成本:一项回顾性队列研究[J].陆军军医大学学报,2025,47(22):2763-2773.DOI:10.16016/j.2097-0927.202508049.
YU S W,ZENG K,XIONG R,et al.Intelligent cloud platform follow-up model improves joint range of motion and reduces follow-up costs after total knee arthroplasty: A retrospective cohort study[J].J Army Med Univ,2025,47(22):2763-2773.DOI:10.16016/j.2097-0927.202508049.
余尚委,曾科,熊然,等.智能云平台随访模式可改善全膝关节置换术后关节活动度并降低随访成本:一项回顾性队列研究[J].陆军军医大学学报,2025,47(22):2763-2773.DOI:10.16016/j.2097-0927.202508049. DOI:
YU S W,ZENG K,XIONG R,et al.Intelligent cloud platform follow-up model improves joint range of motion and reduces follow-up costs after total knee arthroplasty: A retrospective cohort study[J].J Army Med Univ,2025,47(22):2763-2773.DOI:10.16016/j.2097-0927.202508049. DOI:
目的
2
探究基于智能云平台的随访模式在全膝关节置换术(total knee arthroplasty, TKA)后随访质量、随访成本及膝关节功能恢复上较传统随访模式是否具备优势。
方法
2
回顾性收集2022年10月至2023年9月于陆军军医大学第一附属医院行TKA的患者资料260例,根据术后不同随访方式分为云平台组(130例)与传统组(130例),收集并比较2组患者的基线资料、手术前后膝关节功能评分及随访成本。
结果
2
云平台组的随访满意率高于传统组(
P
<
0.05),且其单次随访时间、单次陪同人数、总随访花费和总随访时间均显著低于传统组(
P
<
0.05)。术后6周、3月、6月、12月,云平台组的关节活动度(range of motion, ROM)均优于传统组(
P
<
0.05),2组间的其他膝关节功能评分差异无统计学意义。
结论
2
基于云平台随访模式在术后早期(6周至12个月)膝关节ROM方面优于传统随访模式,且具备低随访成本优势,可作为TKA术后随访的有效替代方案。
Objective
2
To determine whether an intelligerct cloud platform follow-up model demonstrates superiority over conventional methods in enhancing follow-up quality
reducing costs
and improving functional recovery following total knee arthroplasty(TKA).
Methods
2
A retrospective cohort study was conducted on 260 patients undergoing TKA at our hospital from October 2022 to September 2023. According to the different postoperative follow-up methods
they were divided int a cloud platform group (
n
=130) and a traditional group (
n
=130). The baseline data
pre- and postoperative knee function scores
and follow-up costs were collected and compared between the 2 groups.
Results
2
The cloud platform group exhibited significantly higher rate of follow-up satisfaction
reduced resource utilization
shorter per-follow-up duration
fewer accompanying persons per visit
lower total follow-up expenditures
and decreased cumulative follow-up time when compared with the traditional group (
P
<
0.05). At 6 weeks
3
6
and 12 months postoperatively
better range of motion (ROM) was observed in the cloud-based group than the traditional group (
P
<
0.05)
but no intergroup differences were seen in other knee function scores.
Conclusion
2
Cloud platform follow-up enhances early postoperative ROM (6 weeks to 12 months) and demonstrates marked cost-effectiveness when compared to the conventional mode. It represents a viable alternative for post-TKA rehabilitation surveillance.
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