Syndrome evaluation in traditional Chinese medicine using second-order latent variable model

Area of Science:

• Integrative Medicine
• Biostatistics
• Traditional Chinese Medicine (TCM)

Background:

• Syndrome is a core concept in TCM, representing bodily imbalances that cause disease.
• TCM therapies and formulas are determined by a patient's specific syndrome.
• Quantitative evaluation of TCM syndromes is crucial for research and clinical practice.

Purpose of the Study:

• To introduce a novel statistical model for objectively evaluating TCM syndrome levels.
• To provide a quantitative score for patient syndromes based on clinical symptoms.
• To demonstrate the model's applicability in TCM research.

Main Methods:

• A second-order latent variable model was developed.
• The model evaluates syndrome levels using multiple clinical symptoms.
• Statistical methodologies were employed for quantitative assessment.

Main Results:

• The proposed model provides an objective evaluation score for TCM syndromes.
• The model demonstrates a high speed of convergence.
• The model does not require a joint-distribution assumption.

Conclusions:

• The second-order latent variable model offers an efficient and objective method for TCM syndrome evaluation.
• This approach can enhance the quantitative analysis in TCM clinical research.
• The model was successfully applied to premenstrual disorder syndrome research.