The Risk and Influencing Factors of Vascular Dementia in Middle-aged and Elderly People in Kunming

Shumei QIU; Jingrui YANG; Xuecai QIU

doi:10.12259/j.issn.2095-610X.S20240914

Volume 45 Issue 9

Sep. 2024

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Shumei QIU, Jingrui YANG, Xuecai QIU. The Risk and Influencing Factors of Vascular Dementia in Middle-aged and Elderly People in Kunming[J]. Journal of Kunming Medical University, 2024, 45(9): 91-96. doi: 10.12259/j.issn.2095-610X.S20240914

Citation:

Shumei QIU, Jingrui YANG, Xuecai QIU. The Risk and Influencing Factors of Vascular Dementia in Middle-aged and Elderly People in Kunming[J]. Journal of Kunming Medical University, 2024, 45(9): 91-96. doi: 10.12259/j.issn.2095-610X.S20240914

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The Risk and Influencing Factors of Vascular Dementia in Middle-aged and Elderly People in Kunming

doi: 10.12259/j.issn.2095-610X.S20240914

Shumei QIU¹,
Jingrui YANG^{2
,
,},
Xuecai QIU^{3
,
,}

1.
Dept. of Cadre Physical Examination
2.
Dept. of Anesthesia Surgery，The 1st Affiliated Hospital of Kunming Medical University，Kunming Yunnan 650032
3.
Dept. of Neurosurgery，Yan’an Hospital Affiliated to Kunming Medical University，Kunming Yunnan 650051，China

Received Date: 2024-05-08
Available Online: 2024-09-04
Publish Date: 2024-09-25

Abstract

Abstract

Objective To explore the factors influencing the onset of vascular dementia （VD）, a nomogram model was constructed, incorporating both serological and clinical indicators. Methods In the Physical Examination Department of the First Affiliated Hospital of Kunming Medical University, 500 middle-aged and elderly people who participated in physical examinations from January 2019 to December 2023 were selected to statistically analyze the risk of VD. The single and multiple factors that affect the occurrence of VD were analyzed, and a nomogram model was drawn. The receiver operating characteristic curve （ROC）, area under the curve （AUC）, calibration curve, and decision curve （DCA） were used to analyze the diagnostic performance of the nomogram model. A risk stratification system was established based on the risk score of the nomogram. Results （1） The incidence of VD in middle-aged and elderly patients was 10.00%; （2） Hypertension, stroke, and serum KLK6, Klotho protein, and NRG-1 were factors affecting the occurrence of VD in middle-aged and elderly patients （P < 0.05）; （3） The diagnostic AUC of the nomogram model in the occurrence of VD in middle-aged and elderly patients was 0.851 （95%CI: 0.794-0.908）, and the diagnostic probability was consistent with the actual probability. When the threshold probability was between 0.00 and 0.78, the clinical net benefit of the nomogram model was maximized; （4） Using the nomogram model to diagnose individual VD risk scores based on the recursive segmentation method for risk classification, the incidence of VD in high-risk patients was 18.00%, which was higher than that in moderate-risk patients （10.00%） and low-risk patients （4.00%）（P < 0.05）. Conclusion The incidence of VD in middle-aged and elderly people in Kunming region is 10%, and its influencing factors involve hypertension, stroke, and serum KLK6, Klotho protein, NRG-1. Strengthening the monitoring and intervention of these factors is of great significance for reducing the incidence of VD.
- Middle aged and elderly population,
- Vascular dementia,
- Influencing factors,
- Serological index,
- Nomotu

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References(25)

References

[1]	Kawahara M,Tanaka K I,Kato-Negishi M. Crosstalk of copper and zinc in the pathogenesis of vascular dementia[J]. J Clin Biochem Nutr,2022,71(1):7-15. doi: 10.3164/jcbn.22-40
[2]	Hosoki S,Hansra G K,Jayasena T,et al. Molecular biomarkers for vascular cognitive impairment and dementia[J]. Nat Rev Neurol,2023,19(12):737-753. doi: 10.1038/s41582-023-00884-1
[3]	Ananya F N,Ahammed M R,Lahori S,et al. Neuroprotective role of klotho on dementia[J]. Cureus,2023,15(6):e40043.
[4]	Patra K,Soosaipillai A,Sando S B,et al. Assessment of kallikrein 6 as a cross-sectional and longitudinal biomarker for Alzheimer's disease[J]. Alzheimers Res Ther,2018,10(1):9. doi: 10.1186/s13195-018-0336-4
[5]	Li Y,Schindler S E,Bollinger J G,et al. Validation of plasma amyloid-β 42/40 for detecting alzheimer disease amyloid plaques[J]. Neurology,2022,98(7):e688-e699.
[6]	温晓东. 早期颅骨修补术治疗脑外伤的效果及MMSE评分评价[J]. 中国医药指南,2023,21(30):98-100.
[7]	任鹏,李赟,王薇,等. 中药注射液治疗血管性痴呆的网状Meta分析[J]. 中草药,2023,54(9):2863-2878. doi: 10.7501/j.issn.0253-2670.2023.09.019
[8]	宋银华,刘玉双,杨青,等. 老年人主观认知下降与慢性病共病的相关性分析[J]. 中国全科医学,2023,26(10):1241-1249.
[9]	李云云,聂玉琴,许菊芳,等. 急性脑卒中患者术后并发重症肺炎预测模型的构建及验证[J]. 山东医药,2023,63(17):53-57. doi: 10.3969/j.issn.1002-266X.2023.17.013
[10]	贾建平,陈生弟. 神经病学[M]. 7版. 北京: 人民卫生出版社,2013: 208-213.
[11]	Rost N S,Brodtmann A,Pase M P,et al. Post-stroke cognitive impairment and dementia[J]. Circ Res,2022,130(8):1252-1271. doi: 10.1161/CIRCRESAHA.122.319951
[12]	Koton S,Pike J R,Johansen M,et al. Association of ischemic stroke incidence,severity,and recurrence with dementia in the atherosclerosis risk in communities cohort study[J]. JAMA Neurol,2022,79(3):271-280. doi: 10.1001/jamaneurol.2021.5080
[13]	Santisteban M M,Iadecola C,Carnevale D. Hypertension,neurovascular dysfunction,and cognitive impairment[J]. Hypertension,2023,80(1):22-34. doi: 10.1161/HYPERTENSIONAHA.122.18085
[14]	吉鹏,陆齐,颜永进,等. 血管性痴呆患者认知功能障碍严重程度与H型高血压和血尿酸水平的相关性[J]. 中华高血压杂志,2022,30(10):976-979.
[15]	Webb A J S,Werring D J. New insights into cerebrovascular pathophysiology and hypertension[J]. Stroke,2022,53(4):1054-1064. doi: 10.1161/STROKEAHA.121.035850
[16]	Boschetti E,Caio G,Cervellati C,et al. Serumzonulin levels are increased in Alzheimer's disease but not in vascular dementia[J]. Aging Clin Exp Res,2023,35(9):1835-1843. doi: 10.1007/s40520-023-02463-2
[17]	Wang Q,Xu Y Z,Qi C H,et al. Association study of serum soluble TREM2 with vascular dementia in Chinese Han population[J]. Int J Neurosci,2020,130(7):708-712. doi: 10.1080/00207454.2019.1702548
[18]	Wu Y,Lei S Y,Li D X,et al. Relationship of Klotho with cognition and dementia: Results from the NHANES 2011-2014 and Mendelian randomization study[J]. Transl Psychiatry,2023,13(1):337. doi: 10.1038/s41398-023-02632-x
[19]	张冀燕,程薇,鲁丽平. 血清sFas,MIF,Klotho蛋白与血管性痴呆患者认知功能和预后的关系研究[J]. 检验医学与临床,2022,19(24):3313-3317. doi: 10.3969/j.issn.1672-9455.2022.24.001
[20]	黄凯,李欢欢,郭容静. 血清组织激肽释放酶6和簇集素在血管性痴呆患者中的表达及临床意义[J]. 国际检验医学杂志,2023,44(6):688-692. doi: 10.3969/j.issn.1673-4130.2023.06.010
[21]	王镜森,郑智方,屈小莹,等. 帕金森病患者血清klk6,HSP70检测的临床意义研究[J]. 现代生物医学进展,2023,23(19):3744-3748.
[22]	Vrillon A,Mouton-Liger F,Martinet M,et al. Plasma neuregulin 1 as a synaptic biomarker in Alzheimer's disease: A discovery cohort study[J]. Alzheimers Res Ther,2022,14(1):69-71. doi: 10.1186/s13195-022-01009-4
[23]	王改,张琳,茹明娟,等. 脑卒中患者发生血管性痴呆的情况调查及其危险因素分析[J]. 华南预防医学,2023,49(8):1022-1025.
[24]	曾逸笛,郑彩杏,赖丽娜,等. 血管性痴呆疾病与非疾病危险因素及发病机制研究进展[J]. 医学综述,2022,28(14):2821-2826. doi: 10.3969/j.issn.1006-2084.2022.14.020
[25]	Smirnova E,Muthiah M D,Narayan N,et al. Metabolic reprogramming of the intestinal microbiome with functional bile acid changes underlie the development of NAFLD[J]. Hepatology,2022,76(6):1811-1824. doi: 10.1002/hep.32568

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