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)

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