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.

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