Nomogram for Predicting Heart Disease Risk in Rheumatoid Arthritis Patients
Author Information
Author(s): Wang Xiaoyang, Li Baochen, Wei Ruipeng, Hu Bin, Feng Yuming, Yang Bin, Rong Shuling, Li Bao
Primary Institution: Second Hospital of Shanxi Medical University
Hypothesis
Can a nomogram model incorporating LDL-C, Th17 cells, and IL-17 levels predict the risk of obstructive coronary artery disease in rheumatoid arthritis patients?
Conclusion
The study developed a predictive nomogram for assessing the risk of obstructive coronary artery disease in rheumatoid arthritis patients, demonstrating strong predictive accuracy.
Supporting Evidence
- RA patients have a higher incidence of cardiovascular disease compared to the general population.
- Elevated levels of LDL-C, Th17 cells, and IL-17 are associated with obstructive CAD in RA patients.
- The nomogram model showed an AUC of 0.97, indicating strong predictive ability.
Takeaway
Doctors can use a new tool to help figure out which rheumatoid arthritis patients are more likely to have heart problems by looking at certain blood markers.
Methodology
The study involved 120 rheumatoid arthritis patients and 53 healthy controls, using logistic regression and a nomogram model to analyze risk factors for obstructive coronary artery disease.
Potential Biases
Potential bias due to the study being conducted at a single center and the specific patient population.
Limitations
The study had a small sample size and was conducted at a single center, limiting generalizability.
Participant Demographics
42 males and 78 females, mean age 66.37 years for RA patients; 17 males and 36 females, mean age 48.19 years for healthy controls.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI not specified
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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