老年住院肿瘤患者的跌倒风险：相关因素与预测模型。
Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model.
机构信息
Geriatric Department, Affiliated Hospital of Nantong University; Medical School of Nantong University, Nantong, China.
Research Center of Clinical Medical, Affiliated Hospital of Nantong University, Nantong, China.
出版信息
Nurs Open. 2023 Oct;10(10):7084-7091. doi: 10.1002/nop2.1969. Epub 2023 Aug 16.
AIM
Rates vary widely across hospitals globally and typically range from 3 to 11 falls per 1000 bed days and as 7-11 in Affiliated Hospital of Nantong University. This study determined to explore contributing factors and poor prognosis of fall in elderly tumour patients in China.
DESIGN
A cross-sectional study.
METHODS
161 older adults were invited to participate in this study and completed a self-reported questionnaire, took blood tests, and received the exam of musculoskeletal ultrasound.
RESULTS
Among 161 patients, falls occurred in 41 cases, accounting for 24.8%. 51.6% of older adults suffered from intermediate-to-high risk of falls. Fall history, reduced self-care ability, sleep disturbance, hearing impairment, hyperkyphosis, chronic disease, platelet count, and the thickness of left muscle rectus femoris (LF-MLT), and left cross-sectional area (LF-CSA) were all contributing factors of fall, and higher risk of fall indicating lower quality of life. A fall prediction model was established in this study based on above contributing factors with good prediction efficiency (AUC = 0.920).
PATIENT OR PUBLIC CONTRIBUTION
The patient volunteers participated in this study and provided valuable data for the final analysis and the acquisition of conclusion.
目的
全球各医院的跌倒发生率差异很大，通常为每 1000 个床日 3-11 例，南通大学附属医院为 7-11 例。本研究旨在探讨中国老年肿瘤患者跌倒的相关因素及不良预后。
设计
横断面研究。
方法
邀请 161 名老年人参与本研究，完成自我报告问卷、血液检查和肌肉骨骼超声检查。
结果
在 161 名患者中，41 例发生跌倒，占 24.8%。51.6%的老年人有中高跌倒风险。跌倒史、自理能力下降、睡眠障碍、听力障碍、脊柱后凸、慢性病、血小板计数以及左侧股直肌厚度（LF-MLT）和左侧横截面积（LF-CSA）均为跌倒的相关因素，且跌倒风险越高，生活质量越低。本研究基于上述相关因素建立了跌倒预测模型，具有良好的预测效率（AUC=0.920）。
患者或公众参与
患者志愿者参与了本研究，为最终分析和结论的得出提供了有价值的数据。
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