| 廖海英,刘颖,宁宁,等.斜外侧腰椎椎间融合术后疲劳现状及影响因素分析.骨科,2024,15(4): 344-348. |
| 斜外侧腰椎椎间融合术后疲劳现状及影响因素分析 |
| Analysis of Fatigue after Oblique Lumbar Interbody Fusion and Influencing Factors |
| 投稿时间：2023-12-21 |
| DOI：10.3969/j.issn.1674-8573.2024.04.010 |
| 中文关键词: 微创手术 腰椎手术 术后疲劳 恢复 影响因素 |
| 英文关键词: Minimally invasive surgery Lumbar spine surgery Postoperative fatigue Recover Influencing factors |
| 基金项目:四川大学华西护理学科发展专项基金（HXHL20003、HXHL21061） |
|
| 摘要点击次数: 954 |
| 全文下载次数: 793 |
| 中文摘要: |
| 目的 调查斜外侧腰椎椎间融合术（OLIF）病人术后疲劳（POF）的发生率，并分析其影响因素。方法 采用便利抽样法选取2023年1月至2023年8月于四川大学华西医院骨科进行OLIF手术的病人159例，术后第2天使用汉化版简明围术期疲劳评测量表（ICFS-10）进行评估，将ICFS-10评分＞24分的病人纳入术后疲劳组，ICFS-10评分≤24分的病人纳入无术后疲劳组。观察两组的匹兹堡睡眠指数（PSQI）、华西心晴指数（HEI）和疼痛数字评分量表（NRS）评分；对两组的临床资料进行单因素分析，将单因素分析中有统计学意义的影响因素纳入多因素二元Logistic回归模型中进行分析。结果 159例病人ICFS-10评分为（26.92±2.75）分，有148例（93.08%）出现POF。两组病人的PSQI评分、合并症、NRS疼痛评分比较，差异均有统计学意义（P＜0.05）。二元Logistic回归分析显示，合并症[OR=5.160，95% CI（1.286，20.710）, P=0.021]和术后疼痛[OR=6.890，95% CI（1.864，25.465）, P=0.004]是OLIF病人发生POF的危险因素。结论 OLIF病人POF发生率较高，合并症和术后疼痛是OLIF病人术后发生POF的危险因素，围术期应加强病人睡眠管理、合并症管理以及实施积极有效的镇痛模式，降低POF的发生，加速病人术后康复。 |
| 英文摘要: |
| Objective To investigate the incidence of postoperative fatigue (POF) in patients undergoing oblique lumbar interbody fusion (OLIF) and analyze its influencing factors. Methods A convenience sampling method was used to select 159 patients who underwent OLIF surgery in the Department of Orthopedics of West China Hospital of Sichuan University from January 2023 to August 2023. On the second day after surgery, the Chinese version of the Identity-Consequence Fatigue Scale (ICFS-10) was used for evaluation. Patients with ICFS-10 scores ＞24 were included in the POF group, and those with ICFS-10 scores ≤24 served as the non-POF group. The Pittsburgh Sleep Index (PSQI), Huaxi Sunny Index (HEI), and Pain Numeric Rating Scale (NRS) scores of two groups were observed. The univariate analysis was used for the clinical data of two groups, and the statistically significant influencing factors in the univariate analysis were included into a multivariate binary Logistic regression model for analysis. Results The ICFS-10 score of 159 patients was (26.92±2.75) points, and 148 cases (93.08%) developed POF. The comparison of PSQI scores, comorbidities, and NRS pain scores between the two groups showed statistically significant differences (P＜0.05). Binary Logistic regression analysis showed that comorbidities [OR=5.160，95% CI(1.286，20.710), P=0.021] and postoperative pain [OR=6.890，95% CI(1.864，25.465), P=0.004] were risk factors for POF in OLIF patients. Conclusion The incidence of POF in OLIF patients is relatively high, and comorbidities and postoperative pain are risk factors for postoperative POF in OLIF patients. During the perioperative period, it is necessary to strengthen patient sleep management, comorbidity management, and implement active and effective pain management modes to reduce the occurrence of POF and accelerate postoperative recovery. |
|
查看全文
下载PDF阅读器 |
| 关闭 |
|
|
|
