Sneha Chebrolu, Richard Kazibwe, Elsayed Z. Soliman
{"title":"普通人群中家庭收入、亚临床心肌损伤与心血管死亡率之间的关系。","authors":"Sneha Chebrolu, Richard Kazibwe, Elsayed Z. Soliman","doi":"10.1002/clc.70036","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>Both low family income and subclinical myocardial injury (SCMI) are risk factors for cardiovascular disease (CVD) mortality. However, the impact of their joint association on CVD mortality is unclear.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This analysis from the third National Health and Nutrition Examination Survey included 6805 participants (age 59.1 ± 13.4 years, 52.3% women, and 49.8% White) free of CVD at baseline. Family income was assessed using the poverty-income ratio (PIR) and categorized into low (PIR < 1), middle (PIR = 1–4), and high (PIR > 4) income. A validated ECG-based cardiac infarction injury score (CIIS) ≥ 10 was considered positive for SCMI. CVD mortality was determined using the National Death Index. Cox-proportional hazard analysis was used to evaluate the associations of family income and SCMI, separately and jointly, with CVD mortality.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 1782 (26.2%) participants had SCMI at baseline. During a median follow-up of 18.2 years, 856 (12.6%) events of CVD mortality occurred. In separate multivariable Cox models, SCMI (vs. no SCMI) and middle- and low-income (vs. high-income) were each associated with a higher risk of CVD mortality (HR [95% CI]: 1.34 [1.16–1.54], 1.44 [1.16–1.78], and 1.59 [1.22–2.07], respectively). Compared to high-income participants without SCMI, those with low-income and SCMI had an increased risk of CVD mortality (HR [95% CI]: 2.17 [1.53–3.08]). The multiplicative interaction between PIR and SCMI was not significant (<i>p</i> = 0.054).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Lower family income and SCMI are associated with CVD mortality, and their concomitant presence is associated with the highest risk. Family income and SCMI may help in the individualized assessment of CVD risk.</p>\n </section>\n </div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11491868/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association Between Family Income, Subclinical Myocardial Injury, and Cardiovascular Mortality in the General Population\",\"authors\":\"Sneha Chebrolu, Richard Kazibwe, Elsayed Z. Soliman\",\"doi\":\"10.1002/clc.70036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction</h3>\\n \\n <p>Both low family income and subclinical myocardial injury (SCMI) are risk factors for cardiovascular disease (CVD) mortality. However, the impact of their joint association on CVD mortality is unclear.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This analysis from the third National Health and Nutrition Examination Survey included 6805 participants (age 59.1 ± 13.4 years, 52.3% women, and 49.8% White) free of CVD at baseline. Family income was assessed using the poverty-income ratio (PIR) and categorized into low (PIR < 1), middle (PIR = 1–4), and high (PIR > 4) income. A validated ECG-based cardiac infarction injury score (CIIS) ≥ 10 was considered positive for SCMI. CVD mortality was determined using the National Death Index. Cox-proportional hazard analysis was used to evaluate the associations of family income and SCMI, separately and jointly, with CVD mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>A total of 1782 (26.2%) participants had SCMI at baseline. During a median follow-up of 18.2 years, 856 (12.6%) events of CVD mortality occurred. In separate multivariable Cox models, SCMI (vs. no SCMI) and middle- and low-income (vs. high-income) were each associated with a higher risk of CVD mortality (HR [95% CI]: 1.34 [1.16–1.54], 1.44 [1.16–1.78], and 1.59 [1.22–2.07], respectively). Compared to high-income participants without SCMI, those with low-income and SCMI had an increased risk of CVD mortality (HR [95% CI]: 2.17 [1.53–3.08]). The multiplicative interaction between PIR and SCMI was not significant (<i>p</i> = 0.054).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Lower family income and SCMI are associated with CVD mortality, and their concomitant presence is associated with the highest risk. 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Association Between Family Income, Subclinical Myocardial Injury, and Cardiovascular Mortality in the General Population
Introduction
Both low family income and subclinical myocardial injury (SCMI) are risk factors for cardiovascular disease (CVD) mortality. However, the impact of their joint association on CVD mortality is unclear.
Methods
This analysis from the third National Health and Nutrition Examination Survey included 6805 participants (age 59.1 ± 13.4 years, 52.3% women, and 49.8% White) free of CVD at baseline. Family income was assessed using the poverty-income ratio (PIR) and categorized into low (PIR < 1), middle (PIR = 1–4), and high (PIR > 4) income. A validated ECG-based cardiac infarction injury score (CIIS) ≥ 10 was considered positive for SCMI. CVD mortality was determined using the National Death Index. Cox-proportional hazard analysis was used to evaluate the associations of family income and SCMI, separately and jointly, with CVD mortality.
Results
A total of 1782 (26.2%) participants had SCMI at baseline. During a median follow-up of 18.2 years, 856 (12.6%) events of CVD mortality occurred. In separate multivariable Cox models, SCMI (vs. no SCMI) and middle- and low-income (vs. high-income) were each associated with a higher risk of CVD mortality (HR [95% CI]: 1.34 [1.16–1.54], 1.44 [1.16–1.78], and 1.59 [1.22–2.07], respectively). Compared to high-income participants without SCMI, those with low-income and SCMI had an increased risk of CVD mortality (HR [95% CI]: 2.17 [1.53–3.08]). The multiplicative interaction between PIR and SCMI was not significant (p = 0.054).
Conclusion
Lower family income and SCMI are associated with CVD mortality, and their concomitant presence is associated with the highest risk. Family income and SCMI may help in the individualized assessment of CVD risk.