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老年高血压患者的营养状况及其与认知障碍发生的关系。

Nutritional status of elderly hypertensive patients and its relation to the occurrence of cognitive impairment.

作者信息

Xu Qiao, Lu Shou-Rong, Shi Zi-Hao, Yang Ying, Yu Jie, Wang Zhuo, Zhang Bing-Shan, Hong Kan

机构信息

Department of Geriatrics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People's Hospital, Wuxi 214023, Jiangsu Province, China.

Department of Clinical Nutrition, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People's Hospital, Wuxi 214023, Jiangsu Province, China.

出版信息

World J Psychiatry. 2025 Apr 19;15(4):103092. doi: 10.5498/wjp.v15.i4.103092.

DOI:10.5498/wjp.v15.i4.103092
PMID:40309587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12038662/
Abstract

BACKGROUND

Hypertension is a common chronic disease in the elderly population, and its association with cognitive impairment has been increasingly recognized. Cognitive impairment, including mild cognitive impairment and dementia, can significantly affect the quality of life and independence of elderly individuals. Therefore, identifying risk factors for cognitive impairment in elderly hypertensive patients is crucial for developing effective interventions and improving health outcomes. Nutritional status is one of the potential factors that may influence cognitive function in elderly hypertensive patients. Malnutrition or inadequate nutrition can lead to various health problems, including weakened immune system, increased susceptibility to infections, and impaired physical and mental function. Furthermore, poor nutritional status has been linked to increased risk of cognitive decline and dementia in various populations. In this observational study, we aimed to investigate the nutritional status of elderly hypertensive patients and its relationship to the occurrence of cognitive impairment. By collecting baseline data on general information, body composition, and clinical indicators, we hope to identify risk factors for cognitive impairment in this patient population. The results of this study are expected to provide more scientific basis for the health management of elderly patients with hypertension, particularly in terms of maintaining good nutritional status and reducing the risk of cognitive impairment.

AIM

To explore the differences between clinical data and cognitive function of elderly hypertensive patients with different nutritional status, analyze the internal relationship between nutritional statuses and cognitive impairment, and build a nomogram model for predicting nutritional status in elderly hypertensive patients.

METHODS

The present study retrospectively analyzed 200 elderly patients admitted to our hospital for a hypertension during the period July 1, 2024 to September 30, 2024 as study subjects, and the 200 patients were divided into a modeling cohort (140 patients) and a validation cohort (60 patients) according to the ratio of 7:3. The modeling cohort were divided into a malnutrition group (26 cases), a malnutrition risk group (42 cases), and a normal nutritional status group (72 cases) according to the patients' Mini-Nutritional Assessment Scale (MNA) scores, and the modeling cohort was divided into a hypertension combined with cognitive impairment group (34 cases) and a hypertension cognitively normal group (106 cases) according to the Montreal Cognitive Assessment Scale (MoCA) scores, and the validation cohort was divided into a hypertension combined with cognitive impairment group (14 cases) and hypertension cognitively normal group (46 cases). The study outcome was the occurrence of cognitive impairment in elderly hypertensive patients. Univariate and multivariate logistic regression was used to explore the relationship between the general information of the elderly hypertensive patients and the influence indicators and the occurrence of cognitive impairment, the roadmap prediction model was established and validated, the patient work receiver operating characteristic curve was used to evaluate the predictive efficacy of the model, the calibration curve was used to assess the consistency between the predicted events and the actual events, and the decision curve analysis was used to evaluate the validity of the model. Pearson correlation analysis was used to explore the relationship between nutrition-related indicators and MoCA scores.

RESULTS

In this research, the modeling cohort comprised 140 cases, while the verification cohort consisted of 60 cases, with no notable discrepancy in the data between the two groups. In the modeling cohort, there were significant differences in body mass index (BMI), albumin (ALB), hemoglobin (Hb) and homocysteine levels among the malnourished group, the malnourished risk group and the normal nutritional status group. The results of univariate and multivariate analysis showed that BMI [odds ratio (OR) = 0.830, = 0.014], ALB (OR = 0.860, = 0.028), Hb (OR = 0.939, = 0.035) and MNA score (OR = 0.640, = 0.000) were independent protective factors for patients without cognitive impairment, and alkaline phosphatase (ALP) (OR = 1.074, = 0.000) was an independent risk factor for patients with cognitive impairment. In this study, the prediction nomogram tailored for cognitive deterioration in elderly patients with hypertension demonstrated robust predictive power and a close correspondence between predicted and observed outcomes. This model offers significant potential as a means to forestall cognitive decline in hypertensive elderly patients. ALP was negatively correlated with MoCA score, while BMI, MNA score, Hb and ALB were positively correlated with MoCA score.

CONCLUSION

BMI, MNA score, Hb and ALB were independent protective factors for cognitive impairment in elderly hypertensive patients and were positively correlated with MoCA score. ALP was an independent risk factor for cognitive impairment in elderly hypertensive patients and was negatively correlated with the MoCA score. The column line graph model established in the study has a good predictive value.

摘要

背景

高血压是老年人群中常见的慢性疾病,其与认知功能障碍的关联已日益受到认可。认知功能障碍,包括轻度认知功能障碍和痴呆,会显著影响老年人的生活质量和独立性。因此,识别老年高血压患者认知功能障碍的危险因素对于制定有效的干预措施和改善健康结局至关重要。营养状况是可能影响老年高血压患者认知功能的潜在因素之一。营养不良或营养不足会导致各种健康问题,包括免疫系统减弱、感染易感性增加以及身心功能受损。此外,在不同人群中,营养状况不佳与认知能力下降和痴呆风险增加有关。在这项观察性研究中,我们旨在调查老年高血压患者的营养状况及其与认知功能障碍发生的关系。通过收集一般信息、身体成分和临床指标的基线数据,我们希望识别该患者群体中认知功能障碍的危险因素。本研究结果有望为老年高血压患者的健康管理提供更科学的依据,特别是在维持良好营养状况和降低认知功能障碍风险方面。

目的

探讨不同营养状况的老年高血压患者临床资料与认知功能的差异,分析营养状况与认知功能障碍之间的内在关系,并构建预测老年高血压患者营养状况的列线图模型。

方法

本研究回顾性分析了2024年7月1日至2024年9月30日期间我院收治的200例老年高血压患者作为研究对象,并按照7:3的比例将200例患者分为建模队列(140例)和验证队列(60例)。根据患者的简易营养评估量表(MNA)评分,将建模队列分为营养不良组(26例)、营养不良风险组(42例)和营养状况正常组(72例);根据蒙特利尔认知评估量表(MoCA)评分,将建模队列分为高血压合并认知功能障碍组(34例)和高血压认知功能正常组(106例);验证队列分为高血压合并认知功能障碍组(14例)和高血压认知功能正常组(46例)。研究结局为老年高血压患者认知功能障碍的发生情况。采用单因素和多因素logistic回归分析探讨老年高血压患者的一般信息和影响指标与认知功能障碍发生的关系,建立并验证列线图预测模型,采用受试者工作特征曲线评估模型的预测效能,采用校准曲线评估预测事件与实际事件的一致性,采用决策曲线分析评估模型的有效性。采用Pearson相关分析探讨营养相关指标与MoCA评分之间的关系。

结果

本研究中,建模队列有140例,验证队列有60例,两组数据无显著差异。在建模队列中,营养不良组、营养不良风险组和营养状况正常组之间的体重指数(BMI)、白蛋白(ALB)、血红蛋白(Hb)和同型半胱氨酸水平存在显著差异。单因素和多因素分析结果显示,BMI[比值比(OR)=0.830,P=0.014]、ALB(OR=0.860,P=0.028)、Hb(OR=0.939,P=0.035)和MNA评分(OR=0.640,P=0.000)是患者无认知功能障碍的独立保护因素,碱性磷酸酶(ALP)(OR=1.074,P=0.000)是患者有认知功能障碍的独立危险因素。在本研究中,为老年高血压患者认知功能恶化量身定制的预测列线图显示出强大的预测能力,预测结果与观察结果密切相关。该模型作为预防高血压老年患者认知功能下降的手段具有巨大潜力。ALP与MoCA评分呈负相关,而BMI、MNA评分、Hb和ALB与MoCA评分呈正相关。

结论

BMI、MNA评分、Hb和ALB是老年高血压患者认知功能障碍的独立保护因素,且与MoCA评分呈正相关。ALP是老年高血压患者认知功能障碍的独立危险因素,且与MoCA评分呈负相关。本研究建立的列线图模型具有良好的预测价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a372/12038662/d08108df1849/103092-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a372/12038662/0bc57d3cd980/103092-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a372/12038662/0bc57d3cd980/103092-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a372/12038662/d64dcd8ab58a/103092-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a372/12038662/d08108df1849/103092-g004.jpg

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