Clinical Value of the Diagonal Earlobe Crease in Patients with Chest Pain for Diagnosing Coronary Heart Disease.

Purpose: To investigate the clinical application value of diagonal earlobe crease (DELC) in patients with chest pain for the diagnosis of coronary heart disease (CHD) and to construct a risk model by multivariate logistic regression. Patients and Methods: Our trial enrolled prospectively and consecutively 706 chest pain patients with suspected CHD between January 2021 to June 2023 from Chengde Central Hospital. According to coronary angiography results, they were categorized into the CHD (n=457) and non-CHD groups (n=249). Results: The trial demonstrated a significant positive relationship between DELC and CHD. Independent risk factors were sex, age, hypertension, diabetes mellitus, LP (a), Cys C, and DELC, whilst HDL-C was a protective factor, for CHD. Patients with-DELC were older than those in the without-DELC arm (P<0.001) and had a higher proportion of males than females (61.6% vs 50.0%, P=0.026). After multifactorial correction, independent risk factors for CHD included DELC (OR=1.660, 95% CI:1.153 to 2.388, P=0.006), age (OR=1.024, 95% CI:1.002 to 1.045, P=0.030), gender (OR=1.702, 95% CI:1.141 to 2.539, P=0.009), hypertension (OR=1.744, 95% CI:1.226 to 2.482, P=0.002), diabetes mellitus (OR=2.113, 95% CI:1.404 to 3.179, P<0.001), LP(a) (OR=1.010, 95% CI:1.003 to 1.017, P=0.005), Cys C (OR=3.549, 95% CI:1.605 to 7.846, P=0.002). The Hosmer and Lemeshow (H-L) test (P=0.818) suggests a high goodness of fit, and the area under the ROC curve was calculated to be 0.721 (95% CI:0.682 to 0.760, P<0.001), which demonstrates that the model has a superior diagnostic value for CHD. Conclusion: DELC is an independent risk factor for CHD after adjusting for sex, age, hypertension, diabetes mellitus, smoking index, LP (a), Cys C, and HDL-C. Our model can be used clinically for assessing the risk of CHD.

Association of Uric Acid and C-reactive Protein with the Severity of Coronary Artery Disease Using SYNTAX Score and Clinical SYNTAX Score.

BACKGROUND: The SYNTAX score (SXscore), an anatomical-based scoring tool reflecting the complexity of coronary anatomy, has been associated with the mortality and prognosis of coronary artery disease (CAD). Clinical SYNTAX score (CSS), incorporating clinical factors further augmented the utility of the SXscore to longer-term risk. C-reactive protein (CRP) is related to SXscore. Serum uric acid (UA) is associated with atherosclerosis and CAD. However, serum uric acid combined with CRP may better predict the SXscore and CSS. METHODS: A total of 208 patients (mean age 57.82 ± 9.39 years) with chest pain were included in this study. All selected subjects underwent coronary artery angiography and blood test. The relationship between serum UA, CRP and SXscore, and CSS were analyzed. RESULTS: Age and CRP had a positive correlation with SXs and CSS. DM and fasting glucose correlated with SXscore and CSS respectively. In multivariate regression, serum UA, age, fasting glucose, and body mass index (BMI) were significant discriminant factors of high CSS. The predictive accuracy of CRP for SXscore >0 and high CSS using receiver operator characteristic curves was set at the cut off point of 0.205 mg/dL and 0.145 mg/dL respectively, (sensitivity 70.9% and 98%, specialty 48% and 23.2%). CONCLUSION: Serum CRP is correlated with SXscore and CSS, serum UA is independently associated with CSS. CRP predicts high CSS at a lower level than it predicts SXscore. Thus, serum CRP combined with serum UA may be useful to predict SXscore and CSS.