中华护理杂志 ›› 2023, Vol. 58 ›› Issue (19): 2353-2357.DOI: 10.3761/j.issn.0254-1769.2023.19.007
赵华(
), 刘晓玲(
), 鲁闻燕, 夏江柳, 朱玲玲, 马燕
收稿日期:2023-01-20
出版日期:2023-10-10
发布日期:2023-10-12
通讯作者:
刘晓玲,E-mail:liuxiaoling0215@zju.edu.cn作者简介:赵华:女,本科,主任护师,E-mail:2503125@zju.edu.cn
ZHAO Hua(
), LIU Xiaoling(
), LU Wenyan, XIA Jiangliu, ZHU Lingling, MA Yan
Received:2023-01-20
Online:2023-10-10
Published:2023-10-12
摘要:
认知衰弱作为老年衰弱综合征的常见亚型,具有可逆性,能够有效预测老年人痴呆、跌倒、残疾、失能等不良事件。该文介绍了老年人普适性认知衰弱风险预测模型和特异性疾病认知衰弱风险预测模型的基本情况,比较分析认知衰弱风险预测模型的研究方法、危险因素及对未来的启示,为医护人员早期识别老年人认知衰弱风险并提供有效的干预措施提供参考。
赵华, 刘晓玲, 鲁闻燕, 夏江柳, 朱玲玲, 马燕. 老年人认知衰弱风险预测模型的研究进展[J]. 中华护理杂志, 2023, 58(19): 2353-2357.
ZHAO Hua, LIU Xiaoling, LU Wenyan, XIA Jiangliu, ZHU Lingling, MA Yan. Research progress of cognitive frailty risk prediction models in the elderly[J]. Chinese Journal of Nursing, 2023, 58(19): 2353-2357.
| [1] | Navarro-Pardo E, Facal D, Campos-Magdaleno M, et al. Prevalence of cognitive frailty,do psychosocial-related factors matter?[J]. Brain Sci, 2020, 10(12). |
| [2] |
Kelaiditi E, Cesari M, Canevelli M, et al. Cognitive frailty:rational and definition from an(I.A.N.A./I.A.G.G.)international consensus group[J]. J Nutr Health Aging, 2013, 17(9):726-734.
DOI PMID |
| [3] | Bu ZH, Huang AL, Xue MT, et al. Cognitive frailty as a predictor of adverse outcomes among older adults:a systematic review and meta-analysis[J]. Brain Behav, 2021, 11(1):e01926. |
| [4] |
Qiu YM, Li GC, Wang XX, et al. Prevalence of cognitive frailty among community-dwelling older adults:a systematic review and meta-analysis[J]. Int J Nurs Stud, 2022, 125:104112.
DOI URL |
| [5] |
Rivan NFM, Singh DKA, Shahar S, et al. Cognitive frailty is a robust predictor of falls,injuries,and disability among community-dwelling older adults[J]. BMC Geriatr, 2021, 21(1):593.
DOI |
| [6] |
Alkhodary AA, Aljunid SM, Ismail A, et al. Health care utilization and out-of-pocket payments among elderly with cognitive frailty in Malaysia[J]. Int J Environ Res Public Health, 2022, 19(6):3361.
DOI URL |
| [7] |
Zhang XM, Jiao J, Zhu C, et al. Cognitive frailty and 30-day mortality in a national cohort of older Chinese inpatients[J]. Clin Interv Aging, 2021, 16:389-401.
DOI URL |
| [8] |
Yuan MQ, Xu CH, Fang Y. The transitions and predictors of cognitive frailty with multi-state Markov model:a cohort study[J]. BMC Geriatr, 2022, 22(1):550.
DOI |
| [9] |
李珂, 杨振楠. PICC相关血流感染风险预测模型的研究进展[J]. 中华护理杂志, 2022, 57(5):551-554.
DOI |
|
Li K, Yang ZN. Research progress of PICC catheter related blood stream infection risk prediction model[J]. Chin J Nurs, 2022, 57(5):551-554.
DOI |
|
| [10] |
Wolff RF, Moons KGM, Riley RD, et al. PROBAST:a tool to assess the risk of bias and applicability of prediction model studies[J]. Ann Intern Med, 2019, 170(1):51-58.
DOI URL |
| [11] |
Rivan NFM, Shahar S, Rajab NF, et al. Incidence and predic-tors of cognitive frailty among older adults:a community-based longitudinal study[J]. Int J Environ Res Public Health, 2020, 17(5):1547.
DOI URL |
| [12] |
Zhang T, Ren Y, Shen P, et al. Prevalence and associated risk factors of cognitive frailty:a systematic review and meta-analysis[J]. Front Aging Neurosci, 2021, 13:755926.
DOI URL |
| [13] |
陈颖勇, 张正敏, 左倩倩, 等. 社区老年人认知衰弱风险预测模型的构建及验证[J]. 中华护理杂志, 2022, 57(2):197-203.
DOI |
| Chen YY, Zhang ZM, Zuo QQ, et al. Construction and valida-tion of a prediction model for the risk of cognitive frailty among the elderly in a community[J]. Chin J Nurs, 2022, 57(2):197-203. | |
| [14] |
Tseng SH, Liu LK, Peng LN, et al. Development and validation of a tool to screen for cognitive frailty among community-dwelling elders[J]. J Nutr Health Aging, 2019, 23(9):904-909.
DOI PMID |
| [15] |
Hong WL, Earnest A, Sultana P, et al. How accurate are vital signs in predicting clinical outcomes in critically ill emergency department patients[J]. Eur J Emerg Med, 2013, 20(1):27-32.
DOI PMID |
| [16] |
Sugimoto T, Sakurai T, Ono R, et al. Epidemiological and clinical significance of cognitive frailty:a mini review[J]. Ageing Res Rev, 2018, 44:1-7.
DOI PMID |
| [17] | 霍晓鹏, 赖小星, 朱宏伟, 等. 老年认知衰弱评估工具的研究进展[J]. 北京医学, 2022, 44(3):257-260. |
| Huo XP, Lai XX, Zhu HW, et al. Research progress of cognitive impairment assessment tools for the elderly[J]. Beijing Med J, 2022, 44(3):257-260. | |
| [18] |
宋歌, 王颖, 高欢玲, 等. 老年慢性阻塞性肺疾病患者认知衰弱风险筛查模型的构建及验证[J]. 中华护理杂志, 2022, 57(15):1859-1867.
DOI |
|
Song G, Wang Y, Gao HL, et al. Construction and validation of a risk screening model for cognitive frailty in elderly patients with chronic obstructive pulmonary disease[J]. Chin J Nurs, 2022, 57(15):1859-1867.
DOI |
|
| [19] |
Thomas H. The geography of chronic obstructive pulmonary disease:a population-based study of Norway[J]. Soc Sci Med, 2014, 111:25-34.
DOI URL |
| [20] | 王海英, 陈莉, 王允, 等. 环境因素对慢性阻塞性肺疾病患者的预后影响[J]. 公共卫生与预防医学, 2023, 34(3):83-87. |
| Wang HY, Chen L, Wang Y, et al. Initial analysis of the environmental factors on the prognosis of patients with chronic obstructive pulmonary disease[J]. J Public Health Prev Med, 2023, 34(3):83-87. | |
| [21] | 王彦, 刘媛. 住院老年高血压患者认知衰弱影响因素及列线图模型构建[J]. 实用心脑肺血管病杂志, 2022, 30(7):54-59. |
| Wang Y, Liu Y. Influencing factors of cognitive frailty in hospitalized elderly hypertensive patients and construction of nomogram model[J]. Pract J Cardiac Cereb Pneumal Vasc Dis, 2022, 30(7):54-59. | |
| [22] | 李志强, 王盛书, 贡鑫然, 等. 北京市农村社区老年高血压患者认知衰弱状况及影响因素分析[J]. 中国慢性病预防与控制, 2022, 30(12):915-919. |
| Li ZQ, Wang SS, Gong XR, et al. Analysis on prevalence and risk factors of cognitive frailty in Beijing rural elder hypertensive patients[J]. Chin J Prev Control Chronic Dis, 2022, 30(12):915-919. | |
| [23] |
Chang J, Hou WW, Li YC, et al. Prevalence and associated factors of cognitive frailty in older patients with chronic kidney disease:a cross-sectional study[J]. BMC Geriatr, 2022, 22(1):681.
DOI PMID |
| [24] | Luo BL, Luo ZB, Zhang XY, et al. Status of cognitive frailty in elderly patients with chronic kidney disease and construction of a risk prediction model:a cross-sectional study[J]. BMJ Open, 2022, 12(12):e060633. |
| [25] | 问芳芳, 程苗苗, 赵翠芬, 等. 老年稳定性冠心病患者认知衰弱风险预测模型的建立[J]. 护理学杂志, 2021, 36(10):21-26. |
| Wen FF, Cheng MM, Zhao CF, et al. Development of a cognitive frailty prediction model for elderly patients with stable coronary artery disease[J]. J Nurs Sci, 2021, 36(10):21-26. | |
| [26] |
Weinstein G, Lutski M, Goldbourt U, et al. Midlife resting heart rate,but not its visit-to-visit variability,is associated with late-life frailty status in men with coronary heart disease[J]. Aging Male, 2020, 23(5):1052-1058.
DOI |
| [27] |
Qu JL, Zhou T, Xue MX, et al. Relationship between medication literacy and frailty in elderly inpatients with coronary heart disease:a cross-sectional study in China[J]. Front Pharmacol, 2021, 12:691983.
DOI URL |
| [28] | Hou P, Xue HP, Mao XE, et al. Inflammation markers are associated with frailty in elderly patients with coronary heart disease[J]. Aging(Albany NY), 2018, 10(10):2636-2645. |
| [29] | 杨振, 张会君. 社区老年慢性病患者认知衰弱风险预测模型的构建及验证[J]. 护理学杂志, 2021, 36(12):86-89. |
| Yang Z, Zhang HJ. A nomogram for predicting the risk of cognitive frailty in community-dwelling elderly people with chronic diseases[J]. J Nurs Sci, 2021, 36(12):86-89. | |
| [30] | 李耿霖, 宋文铸, 赖悦园, 等. 基于神经网络的术后并发症风险预测模型研究进展[J]. 中国现代医药杂志, 2022, 24(5):92-96. |
| Li GL, Song WZ, Lai YY, et al. Research progress on neural network-based postoperative complications risk prediction models[J]. Chin J Mode Medi, 2022, 24(5):92-96. | |
| [31] | 桑玉还, 严忠婷, 袁媛, 等. 重症监护病房患者多重耐药菌感染风险预测模型的系统评价[J]. 中国感染控制杂志, 2023, 22(4)442-450. |
| Sang YH, Yan ZT, Yuan Y, et al. Prediction models for multidrug-resistant organism infection in patients in the intensive care unit:a systematic review[J]. Chin J Infect Control, 2023, 22(4)442-450. | |
| [32] | Jalali A, Alvarez-Iglesias A, Roshan D, et al. Visualising statis-tical models using dynamic nomograms[J]. PLoS One, 2019, 14(11):e0225253. |
| [33] | 陈香萍, 张奕, 庄一渝, 等. PROBAST:诊断或预后多因素预测模型研究偏倚风险的评估工具[J]. 中国循证医学杂志, 2020, 20(6):737-744. |
| Chen XP, Zhang Y, Zhuang YY, et al. PROBAST:a tool for assessing risk of bias in the study of diagnostic or prognostic multi-factorial predictive models[J]. Chin J Evid Based Med, 2020, 20(6):737-744. |
| [1] | 曾妃, 兰美娟, 顾培培, 梁江淑渊, 王衍蝶, 蔡凌云. 儿童双肺移植术后肺康复护理方案的构建及初步验证[J]. 中华护理杂志, 2025, 60(9): 1029-1035. |
| [2] | 阎寅至, 闻芳, 王敏, 周雪梅, 马金玲, 吴惠芳, 姚文英. 造血干细胞移植患儿运动康复分级护理方案的构建与应用研究[J]. 中华护理杂志, 2025, 60(9): 1036-1042. |
| [3] | 刘曦璇, 刘玉琳, 刘莎, 杨帆, 谢晓虹, 王紫娟, 刘丽芳, 魏红雨. 学龄期支气管哮喘患儿呼吸康复操的研制及效果评价[J]. 中华护理杂志, 2025, 60(9): 1043-1049. |
| [4] | 黄盼盼, 李丽玲, 胡晓静. 先天性心脏病婴儿早期运动康复的研究进展[J]. 中华护理杂志, 2025, 60(9): 1050-1055. |
| [5] | 陈丽鸥, 张文婷, 刘俊其, 王允琮, 王振霖, 齐赛, 杨娜. 肺叶体表投影定位结合肺段引流排痰技术对吸入性肺炎患者气道廓清的效果研究[J]. 中华护理杂志, 2025, 60(9): 1056-1061. |
| [6] | 杨娜娜, 程传丽, 曾慧, 符丹丹, 王燕, 陈悦, 冉宏敏, 范红静, 龙霞. 分级运动康复对慢性阻塞性肺疾病急性加重期患者的效果评价[J]. 中华护理杂志, 2025, 60(9): 1062-1067. |
| [7] | 曹云, 孙国珍, 陈凤, 季学丽, 闫梦婉, 敬雷, 钱堃. 改良式踝泵运动在脑卒中患者中的应用研究[J]. 中华护理杂志, 2025, 60(9): 1068-1074. |
| [8] | 谢敏, 漆文凯, 殷玲, 张旋, 赵如琴. 腹膜透析患者恐动症潜在剖面分析及影响因素研究[J]. 中华护理杂志, 2025, 60(9): 1080-1086. |
| [9] | 陈冰倩, 赵彬, 孙佳蓉, 郝四芳, 侯晓丽. 慢性牙周炎种植义齿患者口腔健康管理困境的质性研究[J]. 中华护理杂志, 2025, 60(9): 1087-1092. |
| [10] | 秦春兰, 吴振云, 钱红英, 赵茜, 孙锦庭. 慢性阻塞性肺疾病患者疾病自我控制体验的质性研究[J]. 中华护理杂志, 2025, 60(9): 1093-1098. |
| [11] | 李子崴, 冯丽娟, 陈旭升, 黄毅, 杨洁. PICC置管患者运动恐惧评估量表的编制及应用[J]. 中华护理杂志, 2025, 60(9): 1099-1106. |
| [12] | 程志强, 张宝珍, 汤利萍, 李静, 夏娇云, 魏雪岩, 龚智娴, 张美珍, 黎露思. 尿失禁患者疾病认知与态度量表的汉化及初步应用[J]. 中华护理杂志, 2025, 60(9): 1107-1112. |
| [13] | 杨静, 王华芬, 卢芳燕, 鲍瑞洁, 朱莉. 肝移植患儿术后营养状况变化的影响因素分析及护理启示[J]. 中华护理杂志, 2025, 60(9): 1113-1119. |
| [14] | 石美琴, 吴建芳, 张铎, 吴春萍, 陈玲, 陶磊. 1例全喉切除辅助发音管Ⅰ期植入患者术后喉功能康复的护理[J]. 中华护理杂志, 2025, 60(9): 1120-1123. |
| [15] | 谷茜, 黄玺, 施伟雄, 吴静, 谭若铭, 王枫. 1例T细胞免疫治疗后并发细胞因子释放综合征患者的护理[J]. 中华护理杂志, 2025, 60(9): 1124-1127. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||