Impact of lipoprotein(a) and fibrinogen on prognosis in patients with coronary artery disease: A retrospective cohort study DOI Creative Commons

Dakai Liang,

Dandan Liang,

Jin Liu

et al.

Technology and Health Care, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: May 22, 2024

BACKGROUND: Despite the considerable progress made in preventative methods, medication, and interventional therapies, it remains evident that cardiovascular events (CVEs) continue to be primary cause of both death morbidity among individuals diagnosed with coronary artery disease (CAD). OBJECTIVE: To compare connection between lipoprotein a (Lp[a]), fibrinogen (Fib), parameters combined all-cause mortality detect their value as prognostic biomarkers. METHODS: This is retrospective study. Patients CAD January 2007 December 2020 at Guangdong Provincial People’s Hospital (China) were involved 43,367 patients met eligibility criteria. The Lp(a) Fib levels distributed into three tertile groups (low, medium, high). All included study followed up for mortality. Kaplan–Meier Cox regression performed determine relationship Lp(a), Fib, A concordance statistics model was developed impact terms anticipating poor outcomes CAD. RESULTS: Throughout median follow-up 67.0 months, 6,883 (15.9%) died. Participants high (above 27.60 mg/dL) had significantly higher risk than low (below 11.13 mg/dL; adjusted hazard ratio [aHR] 1.219, 95% confidence interval [CI]: 1.141–1.304, p< 0.001). Similarly, 4.32 g/L) greater developing compared those reduced 3.41 g/L; aHR 1.415, CI: 1.323–1.514, raised maximum (aHR 1.702; 1.558–1.859, When considered together, caused significant elevation statistic by 0.009 (p< 0.05), suggesting predicting when combining two indicators. CONCLUSION: High could used predictive biomarkers prediction accuracy improved after parameters.

Language: Английский

Limited overlap between genetic effects on disease susceptibility and disease survival DOI Creative Commons
Zhiyu Yang, Fanny‐Dhelia Pajuste, Kristina Zguro

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 12, 2023

Abstract Understanding disease progression is of a high biological and clinical interest. Unlike susceptibility whose genetic basis has been abundantly studied, less known about the genetics its overlap with susceptibility. Considering ten common diseases (N cases ranging from 17,152 to 99,666) across seven biobanks, we systematically compared architecture progression, defined as disease-specific mortality. We identified only one locus significantly associated mortality show that, at similar sample size, more genome-wide significant loci can be in GWAS Variants that were affecting weakly or not Moreover, polygenic scores (PGSs) weak predictor while PGS for general lifespan was five out diseases. used theoretical derivation simulation propose plausible explanations our empirical observations account potential index-event bias. Overall, findings point little similarity effects between suggest either larger sizes different measures are needed identify underpinning progression.

Language: Английский

Citations

3
Application of the VSP near-infrared fluorescence probe in hyperlipidemia viscosity monitoring DOI

Longyang Yang,

Jin Chen, Ning Fang

et al.

Materials Today Chemistry, Journal Year: 2023, Volume and Issue: 34, P. 101806 - 101806

Published: Nov. 30, 2023

Language: Английский

Citations

3
Beyond traditional cardiovascular risk factors: exploring the hidden side of the moon DOI Creative Commons
Filippo Crea

European Heart Journal, Journal Year: 2024, Volume and Issue: 45(6), P. 407 - 410

Published: Feb. 7, 2024

Review article 'Exposome in ischaemic heart disease: beyond traditional

Language: Английский

Citations

0
Association between Head and Neck Cancer and Increased Risk of Ischemic Heart Disease: A Retrospective Cohort Study Using National Population Data DOI Open Access
Chulho Kim, Hyunjae Yu, Dong‐Kyu Kim

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(7), P. 1352 - 1352

Published: March 29, 2024

Although cancer and ischemic heart disease (IHD) frequently manifest in the same individual, risk of IHD events cancer, especially head neck (HNC), remains unclear. We aimed to examine incidence patients with HNC using a population-based cohort dataset South Korea (2002-2013). Through rigorous propensity score matching, we compared data from 2816 individuals without 704 HNC. Key independent variables were matched between groups, Charlson Comorbidity Index was used match comorbidities. The Kaplan-Meier method depicted cumulative probability throughout follow-up period for both study control groups. overall significantly higher (19.93) than those (14.81), signifying an augmented cohort. Subsequent temporal analysis revealed significant surge commencing 4 years after diagnosis persisting period. Subgroup increased men cancers affecting oral sinonasal regions. This retrospective provides valuable scientific insights into nuanced relationship IHD, underscoring need tailored monitoring protocols specialized care susceptible individuals.

Language: Английский

Citations

0
Impact of lipoprotein(a) and fibrinogen on prognosis in patients with coronary artery disease: A retrospective cohort study DOI Creative Commons

Dakai Liang,

Dandan Liang,

Jin Liu

et al.

Technology and Health Care, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: May 22, 2024

BACKGROUND: Despite the considerable progress made in preventative methods, medication, and interventional therapies, it remains evident that cardiovascular events (CVEs) continue to be primary cause of both death morbidity among individuals diagnosed with coronary artery disease (CAD). OBJECTIVE: To compare connection between lipoprotein a (Lp[a]), fibrinogen (Fib), parameters combined all-cause mortality detect their value as prognostic biomarkers. METHODS: This is retrospective study. Patients CAD January 2007 December 2020 at Guangdong Provincial People’s Hospital (China) were involved 43,367 patients met eligibility criteria. The Lp(a) Fib levels distributed into three tertile groups (low, medium, high). All included study followed up for mortality. Kaplan–Meier Cox regression performed determine relationship Lp(a), Fib, A concordance statistics model was developed impact terms anticipating poor outcomes CAD. RESULTS: Throughout median follow-up 67.0 months, 6,883 (15.9%) died. Participants high (above 27.60 mg/dL) had significantly higher risk than low (below 11.13 mg/dL; adjusted hazard ratio [aHR] 1.219, 95% confidence interval [CI]: 1.141–1.304, p< 0.001). Similarly, 4.32 g/L) greater developing compared those reduced 3.41 g/L; aHR 1.415, CI: 1.323–1.514, raised maximum (aHR 1.702; 1.558–1.859, When considered together, caused significant elevation statistic by 0.009 (p< 0.05), suggesting predicting when combining two indicators. CONCLUSION: High could used predictive biomarkers prediction accuracy improved after parameters.

Language: Английский

Citations

0