Ideal cardiovascular health and the subclinical impairments of cardiovascular diseases: a cross-sectional study in central south China

Wang, Yaqin; Wang, Changfa; Zhu, Ling; Yuan, Hong; Wu, Liu­xin; Chen, Zhiheng

doi:10.1186/s12872-017-0697-9

Cited by 17 publications

(17 citation statements)

References 40 publications

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“…Our results are similar to a study conducted to investigate the association between CVH metrics and biomarkers (hsCRP and homocysteine) among 3009 Chinese adults between the ages of 24 and 85 years, without a history of CVD 7. In that study, after adjusting for age, sex and education, a unit increment in CVH score was inversely related to biomarker concentration (CRP: −0.182 (−0.652, −0.457); homocysteine: −0.092 (−0.930, −0.426)).…”

Section: Discussionsupporting

confidence: 89%

“…For example, in a prior analysis from the Multi-Ethnic Study of Atherosclerosis (MESA), poor CVH was found to be associated with higher levels of GlycA (a novel inflammatory marker) and higher levels of traditional inflammatory markers [high-sensitivity C-reactive protein (hsCRP), interleukin 6 (IL-6), fibrinogen and D-dimer] 6. However, research on the sex differences of the relationship of CVH with CVD-related biomarkers is sparse 7…”

Section: Introductionmentioning

confidence: 99%

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Sex differences in the association between ideal cardiovascular health and biomarkers of cardiovascular disease among adults in the United States: a cross-sectional analysis from the multiethnic study of atherosclerosis

et al. 2019

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ObjectivesThis study investigated the sex differences in the associations between ideal cardiovascular health (CVH), measured by the American Heart Association’s Life’s Simple 7 metrics, and cardiovascular disease (CVD)-related biomarkers among an ethnically diverse cohort of women and men free of clinical CVD at baseline.SettingWe analysed data from the Multi-Ethnic Study of Atherosclerosis conducted in six centres across the USA (Baltimore, Maryland; Chicago, Illinois; Forsyth County, North Carolina; Los Angeles, California; New York, New York; and St Paul, Minnesota).ParticipantsThis is a cross-sectional study of 5379 women and men, aged 45–84 years old. Mean age (SD) was 62 (10), 52% were women, 38% White, 11% Chinese American, 28% Black and 23% Hispanic.Primary measuresThe seven metrics (smoking, body mass index, physical activity, diet, total cholesterol, blood pressure and blood glucose) were each scored as 0 points (poor), 1 point (intermediate) or 2 points (ideal). The total CVH score ranged from 0 to 14. The CVD-related biomarkers studied were high-sensitivity C-reactive protein, D-dimer, fibrinogen, homocysteine, high-sensitivity cardiac troponin T, N-terminal pro B-type natriuretic peptide (NT-proBNP) and interleukin 6. We examined the association between the CVH score and each biomarker using multivariable linear regression, adjusting for age, race/ethnicity, education, income and health insurance status.ResultsHigher CVH scores were associated with lower concentrations of all biomarkers, except for NT-proBNP where we found a direct association. There were statistically significant interactions by sex for all biomarkers (p<0.001), but results were qualitatively similar between women and men.ConclusionA more favourable CVH score was associated with lower levels of multiple CVD-related biomarkers for women and men, except for NT-proBNP. These data suggest that promotion of ideal CVH would have similarly favourable impact on the reduction of biomarkers of CVD risk for both women and men.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Sex differences in the association between ideal cardiovascular health and biomarkers of cardiovascular disease among adults in the United States: a cross-sectional analysis from the multiethnic study of atherosclerosis

et al. 2019

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“…Hyperglycemia: The American Diabetes Association defines hospital related hyperglycemia as FBG > 6.9 mmol/L or RBG > 11.1 mmol/L without diabetes history, diabetic patients who are always above the normal blood glucose upper limit could also be classified into hyperglycemia group (14). In the research, RBG > 11.1 mmol/L was defined as elevated RBG regardless of a history of diabetes.…”

Section: Study Methodsmentioning

confidence: 99%

“…Baseline data including demographic data, blood pressure, Killip grade, anamnesis and personal history were all recorded. Standard methods were used to measure the resting systolic blood pressure, diastolic blood pressure and BMI [14]. The Hematological examination indicators including plasma blood glucose were measured in the laboratory of our hospital.…”

Section: Study Methodsmentioning

confidence: 99%

Predictive value of random blood glucose versus fasting blood glucose on in-hospital adverse events in patients with ST-segment elevation acute myocardial infarction

Qin

Yan

et al. 2020

BMC Cardiovasc Disord

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Background: We aim to find out the relationship between random blood glucose (RBG), fasting blood glucose (FBG) and in-hospital adverse events in ST-segment elevation acute myocardial infarction (STEMI) patients. We evaluate and compare the predictive value of RBG and FBG on in-hospital adverse events, and give an appropriate cutoff value of RBG and FBG. Method: A retrospective study enrolled 958 consecutive AMI patients undergoing emergency coronary angiography at Zhongda Hospital were enrolled from January 1, 2016, to December 31, 2018 was performed. RBG and FBG, baseline data and adverse events were recorded. Major adverse cardiovascular and cerebrovascular events (MACCE) were defined as death, nonfatal recurrent myocardial infarction and stroke. Other adverse events included malignant arrhythmia, cardiac shock and hemorrhage. Patients with RBG > 11.1 mmol/L were divided into elevated RBG group. Patients with FBG > 6.1 mmol/L were divided into elevated FBG group. The incidence of in-hospital adverse events were compared in elevated RBG/FBG group and the control group. ROC curve was used to evaluate the predictive value of RBG and FBG on in-hospital adverse events. Result: The incidence of death, hemorrhage, cardiac shock and malignant arrhythmia significantly increases in elevated RBG and FBG group. Binary logistic regression showed that age, hypertension, diabetes, FBG and RBG were independent risk factors for in-hospital adverse events in STEMI patients. The AUC and 95% CI of RBG and FBG in predicting death of AMI patients were 0.789, 0.759~0.816; 0.810, 0.783~0.835, respectively. The cutoff values were 13.82 and 7.35 mmol/L. RBG and FBG also had fine predictive value on cardiac shock and malignant arrhythmia, no statistical difference was found in the predictive value on in-hospital adverse events (P = 0.462, P = 0.570, P = 0.694). Conclusion: Incidence of in-hospital adverse events significantly increases in AMI patients combined with elevated RBG or FBG. Both RBG and FBG were independent risk factors for in-hospital adverse events, they had good value on predicting in-hospital adverse events and there was no statistical difference in their predictive value.

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“…One possible reason for this was that patients might receive more attention and through care from providers to detect and manage CVH by virtue of reviewing cancer screening and other risk factor data. At the population level, better CVH is associated with a lower risk of cardiovascular disease (CVD) and cancers [34,35]. Thus, cancer screenings may indirectly decrease burden and cost on the health system (e.g., CVD and cancers) by improving patient CVH health.…”

Section: Plos Onementioning

confidence: 99%

Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage

et al. 2020

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Background Cancer is the second leading cause of death in the United States. Cancer screenings can detect precancerous cells and allow for earlier diagnosis and treatment. Our purpose was to better understand risk factors for cancer screenings and assess the effect of cancer screenings on changes of Cardiovascular health (CVH) measures before and after cancer screenings among patients. Methods We used The Guideline Advantage (TGA)-American Heart Association ambulatory quality clinical data registry of electronic health record data (n = 362,533 patients) to investigate associations between time-series CVH measures and receipt of breast, cervical, and colon cancer screenings. Long short-term memory (LSTM) neural networks was employed to predict receipt of cancer screenings. We also compared the distributions of CVH factors between patients who received cancer screenings and those who did not. Finally, we examined and quantified changes in CVH measures among the screened and non-screened groups. Results Model performance was evaluated by the area under the receiver operator curve (AUROC): the average AUROC of 10 curves was 0.63 for breast, 0.70 for cervical, and 0.61 for colon cancer screening. Distribution comparison found that screened patients had a higher prevalence of poor CVH categories. CVH submetrics were improved for patients after cancer screenings.

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Ideal cardiovascular health and the subclinical impairments of cardiovascular diseases: a cross-sectional study in central south China

Cited by 17 publications

References 40 publications

Sex differences in the association between ideal cardiovascular health and biomarkers of cardiovascular disease among adults in the United States: a cross-sectional analysis from the multiethnic study of atherosclerosis

Sex differences in the association between ideal cardiovascular health and biomarkers of cardiovascular disease among adults in the United States: a cross-sectional analysis from the multiethnic study of atherosclerosis

Predictive value of random blood glucose versus fasting blood glucose on in-hospital adverse events in patients with ST-segment elevation acute myocardial infarction

Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage

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