A Systematic Evaluation of Incidence and Influencing Factors of Falls in Adult Cancer Patients
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摘要:
目的 系统评价成人肿瘤患者跌倒发生率及影响因素,为早期识别和预防跌倒发生提供证据支持。 方法 计算机检索PubMed、中国知网等8个英文和中文数据库,检索时间为数据库建立至2024年1月,纳入以成人肿瘤患者跌倒发生率和(或)影响因素为结局的横断面研究、队列研究和病例对照研究。由2名研究者独立筛选文献、文献质量评价、提取数据后,使用RevMan 5.4进行Meta分析。 结果 共计纳入19篇文献,样本量总计 70508 例,结果显示,成人肿瘤患者跌倒的合并发生率为23.0%[95%CI(0.23,0.24)]。年龄、女性、低文化程度、跌倒史、跌倒恐惧、肿瘤中晚期、肿瘤种类(乳腺癌、生殖系统肿瘤、前列腺癌)、共病、化疗、放疗、多重用药(n 5)、药物( 抗抑郁药、抗精神病药、镇静催眠药)、相关症状(发热、周围神经病变、疲乏、抑郁)、营养不良、低体重、认知功能障碍、平衡障碍、步态异常、低日常生活能力是成人肿瘤患者跌倒的影响因素。结论 成人肿瘤患者跌倒发生率高且诸多因素并存,肿瘤专业医护人员应早期识别跌倒发生的影响因素并采取针对性措施来减少跌倒发生。 Abstract:Objective To systematically evaluate the incidence and influencing factors of falls in adult cancer patients, and provide evidence support for early identification and prevention of falls. Methods Eight Chinese and English databases, including PubMed, Embase, CNKI, and Wanfang Database, were searched by computer. The databases were established until January 2024 and included in cross-sectional, cohort, and case-control studies based on the incidence and/or influencing factors of falls in adult cancer patients. Two researchers independently screened and reviewed literature, evaluated literature quality, and extracted data before conducting meta-analysis using RevMan 5.4 software. Results A total of 19 articles were incorporated into the research, with a total sample population size of 70508 cases. The results showed that the incidence of comorbid falls in adult tumor patients was 23.0% [95% CI (0.23, 0.24)]. Age, female, low education level, fall history, fall fear, middle and late stage of tumor, tumor type (breast cancer, reproductive system tumor, prostate cancer), comorbidity, chemotherapy, radiotherapy, multiple drugs (n ≥ 5), drugs (antidepressants, antipsychotics, sedatives and hypnotics), related symptoms (fever, peripheral neuropathy, fatigue, depression), malnutrition, low weight, cognitive dysfunction, balance disorders, gait abnormalities, and low ability of daily living are the influencing factors for falls of adult tumor patients.Conclusion Adult cancer patients have a high incidence of falls and multiple influencing factors. Cancer professionals should identify the influencing factors of falls early and take targeted measures to reduce the occurrence of falls. -
Key words:
- Tumor /
- Fall /
- Incidence /
- Influencing Factors /
- Systematic Evaluation
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表 1 纳入文献的基本信息和质量评价结果(n=19)
Table 1. Basic characteristics and evaluation of included literatures (n=19)
纳入文献 发表年份 研究类型 国家 样本量 跌倒发生率 影响因素 NOS/AHRQ评分 Komatsu,Hiroko等[6] 2018年 横断面研究 日本 50 0.180 abechr 7 Argyriou,Andreas A等[7] 2020年 队列研究 希腊 122 0.172 bip 6 Bao,Ting等[8] 2016年 横断面研究 美国 296 0.319 p 9 Capone,Luann J等[3] 2012年 病例对照 美国 286 0.030 bfijlnouvwy 6 Chen,Tuo-Yu等[9] 2014年 病例对照 美国 1640 0.303 oy 7 Huang,Min H等[10] 2019年 队列研究 美国 1097 0.233 acdfjmprsy 9 Huang,Min H等[11] 2015年 队列研究 美国 41 0.560 bijmt 8 Kenis,Cindy等[12] 2022年 病例对照 比利时 3681 0.209 bdfgikoqstxz 9 Komatsu,Hiroko等[4] 2019年 横断面研究 日本 88 0.491 aech 9 Kong,Qiu-Huan等[13] 2014年 队列研究 中国 203 0.133 bfhnsxyz 6 Lamba,Nayan等[14] 2021年 病例对照 美国 42759 0.241 bdi 7 Pandya,Chintan等[15] 2016年 横断面研究 美国 17958 0.252 abecdijprsz 11 Saberi,Najmeh等[16] 2022年 横断面研究 伊朗 300 0.353 bedghijm 8 Rattanakrong,Nida等[17] 2022年 队列研究 泰国 123 0.236 lmp 9 Puts,Martine T E等[18] 2013年 队列研究 加拿大 112 0.152 bdhijsz 7 Turner,Justin P等[19] 2017年 横断面研究 澳大利亚 385 0.239 btuvz 7 Vande Walle,Nathalie等[20] 2014年 队列研究 比利时 809 0.176 bdfkoqrstxz 8 Wildes,Tanya M等[21] 2018年 横断面研究 美国 498 0.183 stw 8 刘伟等[22] 2021年 队列研究 中国 60 0.283 m 8 注:影响因素:a:年龄;b:性别;c:文化程度;d:居住情况;e:工作情况;f:跌倒史;g:跌倒恐惧;h:肿瘤分期;i:肿瘤分类;j:肿瘤治疗方式;k:营养状况;l:体重;m:BMI;n:发热;o:疼痛;p:周围神经病变;q:疲乏;r:抑郁;s:共病;t:多重用药;u:抗抑郁药;v:抗精神病药;w:镇静催眠药;x:认知功能;y: 平衡与步态;z:日常生活能力。 表 2 成人肿瘤患者跌倒影响因素Meta分析结果(1)
Table 2. Meta analysis results on the influencing factors of falls in adult tumor patients(1)
影响因素 纳入文献篇数 I2(%) P OR/SMD 95%CI 效应模型 社会人口学因素 年龄 8[7,10,11,16−20] 31 0.18 1.89 1.76,2.02 固定效应模型 性别 12[3,6,7,11−16,18−20] 69 < 0.001 0.88 0.77,1.00 随机效应模型 文化程度 4[4,6,10,15] 15 0.32 1.11 1.03,1.09 固定效应模型 居住情况 7[10,12,14−16,18,20] 92 < 0.001 1.14 0.94,1.39* 随机效应模型 工作情况 4[4,6,15,16] 0 0.95 1.01 0.93,1.10* 固定效应模型 跌倒史 5[3,10,12,13,20] 56 0.06 4.33 3.75,5.00 随机效应模型 跌倒恐惧 2[12,16] 75 0.05 2.42 1.46,4.03 随机效应模型 疾病相关因素 肿瘤分期 5[4,6,13,16,18] 29 0.23 0.40 0.28,0.57 固定效应模型 肿瘤分类 肺癌 3[7,14,18] 56 0.1 1.14 0.59,2.19* 随机效应模型 乳腺癌 5[7,11,14,15,18] 0 0.41 1.22 1.16,1.29 固定效应模型 消化道肿瘤 5[7,11,15,16,18] 0 0.7 0.98 0.90,1.08* 固定效应模型 生殖系统肿瘤 2[7,16] 0 0.54 2.10 1.36,3.24 固定效应模型 前列腺癌 3[11,15,16] 0 0.73 1.52 1.41,1.62 固定效应模型 血液系统肿瘤 3[3,12,18] 83 0.002 1.88 0.61,5.78* 随机效应模型 头颈部肿瘤 2[7,11] 35 0.21 1.19 0.26,5.44* 固定效应模型 有/无共病 4[12,13,15,20] 12 0.33 1.11 1.02,1.21 固定效应模型 共病数量 3[10,18,21] 0 0.55 0.68 0.44,0.92 固定效应模型 治疗因素 肿瘤治疗方式 化疗 4[3,11,16,18] 0 0.86 2.08 1.34,3.23 固定效应模型 放疗 5[3,4,10,15,16] 21 0.28 1.43 1.32,1.54 固定效应模型 手术治疗 2[10,15] 0 0.99 0.91 0.85,0.98 固定效应模型 使用的药物数量 3[11,19,21] 37 0.2 1.62 1.42,1.82 固定效应模型 多重用药(n≧5) 2[12,20] 48 0.16 1.55 1.33,1.82 固定效应模型 药物种类 抗抑郁药 2[4,16] 0 0.64 3.23 2.02,5.15 固定效应模型 抗精神病药 2[4,16] 50 0.16 3.18 2.07,4.88 固定效应模型 镇静催眠药 2[3,21] 77 0.76 3.28 1.62,6.66 随机效应模型 症状相关因素 发热 2[3,13] 0 0.99 7.15 3.54,13.43 固定效应模型 疼痛 4[3,9,12,20] 90 < 0.001 1.05 0.34,3.19* 随机效应模型 周围神经病变 5[4,7,8,10,17] 75 0.003 2.46 1.03,5.92 随机效应模型 疲乏 2[12,20] 45 0.18 1.20 1.01,1.42 固定效应模型 抑郁 4[6,10,15,20] 32 0.22 2.68 2.47,2.91 固定效应模型 机体功能相关因素 营养状况 2[12,20] 47 0.17 1.35 1.13,1.62 固定效应模型 体重 2[3,17] 74 0.01 -0.32 −0.52,−0.11 随机效应模型 BMI 5[5,10,11,16,17] 39 0.16 0.19 −0.05,0.42* 固定效应模型 认知功能 3[12,13,20] 0 0.4 1.77 1.47,2.12 固定效应模型 平衡与步态 平衡障碍 2[9,10] 0 0.4 2.78 2.28,3.40 固定效应模型 步态异常 2[3,13] 0 0.99 11.53 6.75,19.68 固定效应模型 -
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