Associations between various lipid components and premature myocardial infarction: a cross-sectional study / 中华心血管病杂志

Objective: Hyperlipidemia is closely related to premature acute myocardial infarction (AMI). The present study was performed to explore the correlation between various blood lipid components and the risk of premature AMI. Methods: This is a cross-sectional retrospective study. Consecutive patients with acute ST-segment elevation myocardial infarction (STEMI), who completed coronary angiography from October 1, 2020 to September 30, 2022 in our hospital, were enrolled and divided into premature AMI group (male<55 years old, female<65 years old) and late-onset AMI group. Total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-HDL-C, lipoprotein (a) (Lp (a)), apolipoprotein B (ApoB), apolipoprotein A-1 (ApoA-1), non-HDL-C/HDL-C and ApoB/ApoA-1 were analyzed. The correlation between the above blood lipid indexes and premature AMI was analyzed and compared by logistic regression, restricted cubic spline and receiver operating characteristic curve (ROC). Results: A total of 1 626 patients with STEMI were enrolled in this study, including 409 patients with premature AMI and 1 217 patients with late-onset AMI. Logistic regression analysis showed that the risk of premature AMI increased significantly with the increase of TG, non-HDL-C/HDL-C, non-HDL-C, ApoB/ApoA-1, TC and ApoB quintiles; while LDL-C, ApoA-1 and Lp (a) had no significant correlation with premature AMI. The restricted cubic spline graph showed that except Lp (a), LDL-C, ApoA-1 and ApoB/ApoA-1, other blood lipid indicators were significantly correlated with premature AMI. The ROC curve showed that TG and non-HDL-C/HDL-C had better predictive value for premature AMI. Inconsistency analysis found that the incidence and risk of premature AMI were the highest in patients with high TG and high non-HDL-C/HDL-C. Conclusion: TG, non-HDL-C/HDL-C and other blood lipid indexes are significantly increased in patients with premature AMI, among which TG is the parameter, most closely related to premature AMI, and future studies are needed to explore the impact of controlling TG on incidence of premature AMI.

Comparisons of multiple characteristics between young and old lung cancer patients / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Risk factors that contribute to younger patients with lung cancer are still relatively unknown. The aim of this study was to compare the clinical characteristics, histological types, stages at diagnosis, treatment modalities and survival rates between young and old patients with lung cancer.</p><p><b>METHODS</b>The study was designed as a retrospective review of all lung cancer patients admitted to the Third Affiliated Hospital of Harbin Medical University from 1998 to 2008. Survival analyses using univariate and multivariate approaches were performed to compare the survival rates between different age groups and to discover potential prognostic factors.</p><p><b>RESULTS</b>This research included 3320 patients with primary lung cancer, of whom 626 (18.8%) were 45 years old or younger at the time of diagnosis. The percentage of smokers and the male to female ratios between the young and old patient groups were 51.27% vs. 70.6% (P < 0.001) and 1.99 vs. 2.13 (P = 0.4801), respectively. The young patient group had a higher incidence of adenocarcinoma and fewer surgeries. The 1-year, 3-year and 5-year survival rates in the young patient group were generally lower than those of the old patient group, with significant differences (P = 0.0232). The clinical stage of the tumor was a prognostic factor for both non-small cell lung cancer patients (P < 0.0001) and small cell lung cancer patients (P = 0.0002). Symptoms, diagnostic method, histology, smoking, treatment modality and body mass index were shown to have significant relationships with the survival of lung cancer patients (P < 0.05).</p><p><b>CONCLUSIONS</b>Patients with lung cancer who are younger than 45 years old might have a significantly poorer prognosis than that of older patients. Symptoms, diagnosis method, histology, smoking, treatment modality and body mass index can be independent prognostic factors for lung cancer.</p>