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Vasoactive Drug Therapy and Clinical Nursing of Patients with Cardiovascular Disease
Menglin Li1, Meixiang Xu1, Minfang Feng1
1Department of Cardiovascular Medicine, People's Hospital of Huishan District, Wuxi City 214100, Jiangsu Province, China.
Insights
This study introduces a new model to evaluate cardiovascular disease (CVD) patient recovery, integrating vasoactive drug effects and intrinsic factors like age and blood pressure. The model accurately predicts recovery, aiding clinical care adjustments for better patient outcomes.
Area of Science:
- Cardiology and Pharmacology
- Biostatistics and Health Informatics
Background:
- Cardiovascular disease (CVD) management often relies on superficial metrics, potentially hindering true patient recovery.
- Vasoactive drugs offer benefits for blood vessel function but require nuanced integration into care strategies.
Purpose of the Study:
- To quantitatively assess the impact of vasoactive drug therapy and intrinsic patient factors on cardiovascular disease recovery.
- To develop a predictive model for evaluating clinical nursing effectiveness in cardiovascular disease patients.
Main Methods:
- Vasoactive drug effects analyzed via adrenal hormone action principles on cardiovascular function.
- Clinical nursing effectiveness modeled using multivariate logistic regression with factors like age and blood pressure.
Main Results:
- The developed logistic regression model demonstrated strong performance in evaluating patient recovery.
- The model achieved an Area Under the Curve (AUC) value of approximately 0.9, indicating high predictive accuracy.
Conclusions:
- The established model provides a rational basis for judging cardiovascular disease patient recovery.
- Model coefficients allow for personalized adjustments to patient physical and mental conditions, optimizing recovery outcomes.
Abstract:
Cardiovascular disease (CVD) is a common human disease with a large number of patients. Vasoactive drugs have a good effect on the contraction and expansion of blood vessels, which can provide certain help for the management of cardiovascular diseases. However, the clinical care of cardiovascular disease has always been based on the superficial resistance level of body fat, weight, and so on, which is unfavorable for the real recovery of patients with cardiovascular disease. This article aims to quantitatively evaluate the effects of clinical care based on vasoactive drug therapy and intrinsic factors of cardiovascular disease. For the treatment of vasoactive drugs, this paper selects the principle of action of the adrenal hormone to judge and analyze the expansion and contraction of the cardiovascular disease. For the clinical nursing of patients with cardiovascular disease, based on multivariate logistic regression, this paper selects internal factors such as age and blood pressure to model the nursing effect. Experiments have shown that the logistic regression model established in this paper can evaluate well the recovery effect of patients with cardiovascular disease. The AUC value of the model reached around 0.9. This showed that the clinical care of patients with cardiovascular disease can not only rationally judge the recovery effect through the model but also adjust the physical and mental conditions of patients with cardiovascular disease according to the coefficients of the model to achieve the best recovery effect.
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