Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension
Objective To explore the risk factors of mild cognitive impairment in hospitalized patients with hypertension, and establish a risk prediction nomogram model. Methods A total of 182 patients with hypertension admitted in our hospital from May to November 2021 were enrolled in this study. They were s...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Third Military Medical University
2022-04-01
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| Series: | Di-san junyi daxue xuebao |
| Subjects: | |
| Online Access: | http://aammt.tmmu.edu.cn/Upload/rhtml/202111189.htm |
| _version_ | 1817989069042352128 |
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| author | WANG Li ZHOU Lian YANG Yanni |
| author_facet | WANG Li ZHOU Lian YANG Yanni |
| author_sort | WANG Li |
| collection | DOAJ |
| description | Objective To explore the risk factors of mild cognitive impairment in hospitalized patients with hypertension, and establish a risk prediction nomogram model. Methods A total of 182 patients with hypertension admitted in our hospital from May to November 2021 were enrolled in this study. They were surveyed with information questionnaire, Mini-Mental State Examination, Beijing version of Montreal Cognitive Assessment, Coping and Adaptation Processing Scale, Self-Rating Depression Scale and Therapeutic Adherence Scale. Logistic regression stepwise analysis was used to screen the independent risk factors of mild cognitive impairment, and the risk prediction nomogram model was established. Results The prevalence rate of mild cognitive impairment in hospitalized hypertensive patients was 68.1%. Based on the results of logistic regression analysis, 5 risk factors including age (OR=1.053), diabetes (OR=2.359), daily life management (OR=0.926), years of education (OR=0.776), and coping and adaptation (OR=0.947) were finally included to construct a risk prediction model. The calibration curve indicated that the model possessed good accuracy. The area under the curve was 0.844 (95%CI: 0.783~0.893), indicating that the model possessed good discrimination. Conclusion Based on the risk factors of mild cognitive impairment in hospitalized hypertensive patients, our established risk prediction model has good consistency and prediction efficiency. |
| first_indexed | 2024-04-14T00:41:31Z |
| format | Article |
| id | doaj.art-71f3aea661b946ae9e46ac5c74c75930 |
| institution | Directory Open Access Journal |
| issn | 1000-5404 |
| language | zho |
| last_indexed | 2024-04-14T00:41:31Z |
| publishDate | 2022-04-01 |
| publisher | Editorial Office of Journal of Third Military Medical University |
| record_format | Article |
| series | Di-san junyi daxue xuebao |
| spelling | doaj.art-71f3aea661b946ae9e46ac5c74c759302022-12-22T02:22:10ZzhoEditorial Office of Journal of Third Military Medical UniversityDi-san junyi daxue xuebao1000-54042022-04-0144883584110.16016/j.2097-0927.202111189Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertensionWANG Li0ZHOU Lian1YANG Yanni2School of Nursing, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, ChinaDepartment of Cardiology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China School of Nursing, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, ChinaObjective To explore the risk factors of mild cognitive impairment in hospitalized patients with hypertension, and establish a risk prediction nomogram model. Methods A total of 182 patients with hypertension admitted in our hospital from May to November 2021 were enrolled in this study. They were surveyed with information questionnaire, Mini-Mental State Examination, Beijing version of Montreal Cognitive Assessment, Coping and Adaptation Processing Scale, Self-Rating Depression Scale and Therapeutic Adherence Scale. Logistic regression stepwise analysis was used to screen the independent risk factors of mild cognitive impairment, and the risk prediction nomogram model was established. Results The prevalence rate of mild cognitive impairment in hospitalized hypertensive patients was 68.1%. Based on the results of logistic regression analysis, 5 risk factors including age (OR=1.053), diabetes (OR=2.359), daily life management (OR=0.926), years of education (OR=0.776), and coping and adaptation (OR=0.947) were finally included to construct a risk prediction model. The calibration curve indicated that the model possessed good accuracy. The area under the curve was 0.844 (95%CI: 0.783~0.893), indicating that the model possessed good discrimination. Conclusion Based on the risk factors of mild cognitive impairment in hospitalized hypertensive patients, our established risk prediction model has good consistency and prediction efficiency.http://aammt.tmmu.edu.cn/Upload/rhtml/202111189.htmhypertensionmild cognitive impairmenttreatment complianceprediction model |
| spellingShingle | WANG Li ZHOU Lian YANG Yanni Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension Di-san junyi daxue xuebao hypertension mild cognitive impairment treatment compliance prediction model |
| title | Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| title_full | Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| title_fullStr | Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| title_full_unstemmed | Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| title_short | Construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| title_sort | construction of a risk prediction model of mild cognitive impairment in hospitalized patients with hypertension |
| topic | hypertension mild cognitive impairment treatment compliance prediction model |
| url | http://aammt.tmmu.edu.cn/Upload/rhtml/202111189.htm |
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