Pieter F van den Berg, Laura I Yousif, Yvonne Koop, Ezgi Hatip Ünlü, Melis Asik, Bart J van Essen, Kevin Damman, Adriaan A Voors, Nabil Sayour, Thomas F Kok, Yiqian Yang, Isabella Kardys, Stephan J L Bakker, Bert van der Vegt, Navin Suthahar, Rudolf A de Boer, Wouter C Meijers
{"title":"弗雷明汉风险评分与偶发癌症和心力衰竭有关。","authors":"Pieter F van den Berg, Laura I Yousif, Yvonne Koop, Ezgi Hatip Ünlü, Melis Asik, Bart J van Essen, Kevin Damman, Adriaan A Voors, Nabil Sayour, Thomas F Kok, Yiqian Yang, Isabella Kardys, Stephan J L Bakker, Bert van der Vegt, Navin Suthahar, Rudolf A de Boer, Wouter C Meijers","doi":"10.1093/eurjpc/zwaf618","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>The Framingham Risk Score (FRS), a tool primarily used for atherosclerotic cardiovascular disease (ASCVD) risk stratification, incorporates factors like age, obesity, and smoking. However, its role in predicting cancer and heart failure (HF) risk remains unclear, while emerging data suggest these two conditions coincide frequently.</p><p><strong>Methods: </strong>We conducted a post-hoc analysis using data from the PREVEND study and validated our findings in the UK Biobank. We examined the association between FRS tertiles at baseline and incident cancer or HF. Fine-Gray regression models were used to calculate subdistribution hazard ratios (sHRs), adjusting for estimated glomerular filtration rate and urinary albumin excretion with all-cause mortality as a competing risk.</p><p><strong>Results: </strong>In PREVEND, we included 8123 participants (mean age 49±13 years, 50% female). Over follow-up periods of 17.46 years (IQR 17.15-17.80) years (cancer) and 23.39 years (IQR 13.78-23.81) years (HF), 1176 participants developed new-onset cancer, and 758 developed new-onset HF. In a multivariable analysis, participants in the highest FRS tertile compared to the lowest had a higher hazard for both cancer (sHR 2.32, p<0.001) and HF (sHR 10.08, p<0.001). Participants in the highest FRS tertile had the worst survival (log-rank p<0.001). We validated these findings in the UK Biobank (N=389942) wherein individuals in the highest FRS tertile also had a higher hazard for both cancer (sHR 2.05, p<0.001) and HF (sHR 5.99, p<0.001) compared to the lowest tertile.</p><p><strong>Conclusion: </strong>The FRS associates with new-onset cancer or HF, implicating a broader clinical application of the FRS beyond ASCVD-risk stratification in cardio-oncology.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":" ","pages":""},"PeriodicalIF":7.5000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Framingham risk score associates with incident cancer and heart failure.\",\"authors\":\"Pieter F van den Berg, Laura I Yousif, Yvonne Koop, Ezgi Hatip Ünlü, Melis Asik, Bart J van Essen, Kevin Damman, Adriaan A Voors, Nabil Sayour, Thomas F Kok, Yiqian Yang, Isabella Kardys, Stephan J L Bakker, Bert van der Vegt, Navin Suthahar, Rudolf A de Boer, Wouter C Meijers\",\"doi\":\"10.1093/eurjpc/zwaf618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>The Framingham Risk Score (FRS), a tool primarily used for atherosclerotic cardiovascular disease (ASCVD) risk stratification, incorporates factors like age, obesity, and smoking. However, its role in predicting cancer and heart failure (HF) risk remains unclear, while emerging data suggest these two conditions coincide frequently.</p><p><strong>Methods: </strong>We conducted a post-hoc analysis using data from the PREVEND study and validated our findings in the UK Biobank. We examined the association between FRS tertiles at baseline and incident cancer or HF. Fine-Gray regression models were used to calculate subdistribution hazard ratios (sHRs), adjusting for estimated glomerular filtration rate and urinary albumin excretion with all-cause mortality as a competing risk.</p><p><strong>Results: </strong>In PREVEND, we included 8123 participants (mean age 49±13 years, 50% female). Over follow-up periods of 17.46 years (IQR 17.15-17.80) years (cancer) and 23.39 years (IQR 13.78-23.81) years (HF), 1176 participants developed new-onset cancer, and 758 developed new-onset HF. In a multivariable analysis, participants in the highest FRS tertile compared to the lowest had a higher hazard for both cancer (sHR 2.32, p<0.001) and HF (sHR 10.08, p<0.001). Participants in the highest FRS tertile had the worst survival (log-rank p<0.001). We validated these findings in the UK Biobank (N=389942) wherein individuals in the highest FRS tertile also had a higher hazard for both cancer (sHR 2.05, p<0.001) and HF (sHR 5.99, p<0.001) compared to the lowest tertile.</p><p><strong>Conclusion: </strong>The FRS associates with new-onset cancer or HF, implicating a broader clinical application of the FRS beyond ASCVD-risk stratification in cardio-oncology.</p>\",\"PeriodicalId\":12051,\"journal\":{\"name\":\"European journal of preventive cardiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European journal of preventive cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/eurjpc/zwaf618\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of preventive cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurjpc/zwaf618","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Framingham risk score associates with incident cancer and heart failure.
Aims: The Framingham Risk Score (FRS), a tool primarily used for atherosclerotic cardiovascular disease (ASCVD) risk stratification, incorporates factors like age, obesity, and smoking. However, its role in predicting cancer and heart failure (HF) risk remains unclear, while emerging data suggest these two conditions coincide frequently.
Methods: We conducted a post-hoc analysis using data from the PREVEND study and validated our findings in the UK Biobank. We examined the association between FRS tertiles at baseline and incident cancer or HF. Fine-Gray regression models were used to calculate subdistribution hazard ratios (sHRs), adjusting for estimated glomerular filtration rate and urinary albumin excretion with all-cause mortality as a competing risk.
Results: In PREVEND, we included 8123 participants (mean age 49±13 years, 50% female). Over follow-up periods of 17.46 years (IQR 17.15-17.80) years (cancer) and 23.39 years (IQR 13.78-23.81) years (HF), 1176 participants developed new-onset cancer, and 758 developed new-onset HF. In a multivariable analysis, participants in the highest FRS tertile compared to the lowest had a higher hazard for both cancer (sHR 2.32, p<0.001) and HF (sHR 10.08, p<0.001). Participants in the highest FRS tertile had the worst survival (log-rank p<0.001). We validated these findings in the UK Biobank (N=389942) wherein individuals in the highest FRS tertile also had a higher hazard for both cancer (sHR 2.05, p<0.001) and HF (sHR 5.99, p<0.001) compared to the lowest tertile.
Conclusion: The FRS associates with new-onset cancer or HF, implicating a broader clinical application of the FRS beyond ASCVD-risk stratification in cardio-oncology.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.