Key result
Combined Tei index, carotid IMT, and Crouse score predicts severe CAC with ~83% accuracy and MACCE.
Why the study?
The study evaluated the diagnostic and prognostic value of integrating Tei index, carotid IMT, and Crouse plaque score for assessing CAC severity and MACCE recurrence in elderly CHD patients.
Does the integration of Tei index, carotid IMT, and Crouse plaque score predict severe coronary artery calcification and MACCE recurrence in elderly CHD patients?
Cohort (n=98)
No
Does the integration of Tei index, carotid IMT, and Crouse plaque score predict severe coronary artery calcification and MACCE recurrence in elderly CHD patients?
The synergistic use of Tei index, carotid IMT, and Crouse score provides a noninvasive method to enhance the diagnosis of severe coronary artery calcification and stratify MACCE risk in elderly CHD patients.
May aid noninvasive CAC assessment in elderly CHD; hypothesis-generating for MACCE risk pending prospective validation.
Objective Current study aims to evaluate the diagnostic and prognostic value of integrating myocardial performance index (Tei index), carotid intima-media thickness (IMT), and Crouse plaque score in coronary artery calcification (CAC) severity and major adverse cardiovascular and cerebrovascular events (MACCE) recurrence among elderly coronary heart disease (CHD) patients Methods A retrospective study included 98 elderly CHD patients (2019–2022) from South Taihu Hospital. Coronary artery calcification score (CACS) was assessed, with severe calcification defined as single-vessel CACS ≥ 100. Participants were stratified into severe calcification ( n = 45) and control (CACS < 100, n = 53) groups. Baseline characteristics, Tei index, IMT, and Crouse score were compared. Multivariate logistic regression identified CAC risk factors. Spearman analysis assessed correlations between CACS and biomarkers. Receiver operating characteristic (ROC) curves evaluated combined diagnostic performance. Kaplan–Meier survival analysis predicted MACCE recurrence using optimal thresholds from ROC. Results The severe calcification group exhibited elevated Tei index [0.58 (0.51, 0.72) vs. 0.44 (0.35, 0.52)], IMT [1.11 (0.89, 1.26) mm vs. 0.72 (0.62, 0.80) mm], and Crouse score [1.83 (1.04, 2.56) vs. 0.90 (0.77, 1.09)] compared to controls (all p < 0.001). These parameters independently predicted severe CAC (OR = 2.634–73.061, p < 0.05) and correlated positively with number of stenosed coronary vessel ( r = 0.429–0.453, p < 0.01). Combined ROC analysis demonstrated superior diagnostic accuracy (AUC = 0.831, 95% CI:0.740–0.923) vs. individual biomarkers (AUC = 0.778–0.792). High Tei index (≥0.50), IMT (≥0.86 mm), and Crouse score (≥1.21) predicted increased MACCE risk (log-rank p < 0.001). Conclusion The synergistic application of Tei index, carotid IMT, and Crouse score enhances CAC diagnosis precision and stratifies MACCE recurrence risk in elderly CHD patients, offering a noninvasive strategy for postoperative risk management.
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Zang et al. (2026) conducted a cohort in Coronary heart disease with severe coronary artery calcification (n=98). Combined Tei index, carotid IMT, and Crouse plaque score vs. Individual biomarkers was evaluated on Severe coronary artery calcification diagnosis (Combined ROC) (AUC 0.831, 95% CI 0.740-0.923, p=<0.001). The synergistic application of Tei index, carotid IMT, and Crouse score enhanced diagnostic accuracy for severe coronary artery calcification (AUC 0.831) and predicted MACCE recurrence in elderly CHD patients.
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