scholarly journals Ideal Cardiovascular Health Metrics Modify the Association Between Exposure to Chinese Famine in Fetal and Cardiovascular Disease: A Prospective Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiong Ding ◽  
Jinfeng Li ◽  
Ying Wu ◽  
Peng Yang ◽  
Dandan Zhao ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Study ◽  
Prospective Cohort ◽  
Cardiovascular Health ◽  
Cox Regression ◽  
Cvd Risk ◽  
Fetal Period ◽  
Ideal Cardiovascular Health ◽  
Famine Exposure

Background: No study has explored the modification effect of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and risk of cardiovascular disease (CVD) so far. We aim to examine the effect of ICVHMs on the association between exposure to famine early in life and the risk of CVD in adulthood.Methods: A total of 61,527 participants free of CVD were included in this study from the Kailuan Study. All participants were divided into three groups, included nonexposed, fetal-exposed, and childhood-exposed groups. Cox regression was used to estimate the effect of famine exposure and ICVHMs on CVD risk.Results: After a median of 13.0 (12.7–13.2) years follow-up, 4,814 incident CVD cases were identified. Compared with nonexposed participants, the CVD risk increased in participants with fetal famine exposure (hazard ratio [HR]: 1.21; 95% CI: 1.07–1.37), but not in childhood famine-exposed participants. After stratifying by the number of ICVHMs, the increased CVD risk associated with fetal famine exposure was only observed in participants with less ICVHMs ( ≤ 2) (HR: 1.30; 95% CI: 1.11–1.52, P for interaction=0.008), but disappeared in those with three or more ICVHMs. The modified effect of ICVHMs was sex specific (P for sex interaction = 0.031).Conclusions: Exposing to famine in the fetal period could increase the risk of CVD in late life; however, ICVHMs might modify the effect of famine exposure on CVD risk, especially in men.

scholarly journals Nomogram to predict risk of incident chronic kidney disease in high-risk population of cardiovascular disease in China: community-based cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e047774
Author(s):  
Qiuxia Zhang ◽  
Jingyi Zhang ◽  
Li Lei ◽  
Hongbin Liang ◽  
Yun Li ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Cox Regression ◽  
Validation Cohort ◽  
High Risk Population ◽  
Cvd Risk ◽  
Incident Chronic Kidney Disease

AimsTo develop a nomogram for incident chronic kidney disease (CKD) risk evaluation among community residents with high cardiovascular disease (CVD) risk.MethodsIn this retrospective cohort study, 5730 non-CKD residents with high CVD risk participating the National Basic Public Health Service between January 2015 and December 2020 in Guangzhou were included. Endpoint was incident CKD defined as an estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m2 during the follow-up period. The entire cohorts were randomly (2:1) assigned to a development cohort and a validation cohort. Predictors of incident CKD were selected by multivariable Cox regression and stepwise approach. A nomogram based on these predictors was developed and evaluated with concordance index (C-index) and area under curve (AUC).ResultsDuring the median follow-up period of 4.22 years, the incidence of CKD was 19.09% (n=1094) in the entire cohort, 19.03% (727 patients) in the development cohort and 19.21% (367 patients) in the validation cohort. Age, body mass index, eGFR 60–89 mL/min/1.73 m2, diabetes and hypertension were selected as predictors. The nomogram demonstrated a good discriminative power with C-index of 0.778 and 0.785 in the development and validation cohort. The 3-year, 4-year and 5-year AUCs were 0.817, 0.814 and 0.834 in the development cohort, and 0.830, 0.847 and 0.839 in the validation cohort.ConclusionOur nomogram based on five readily available predictors is a reliable tool to identify high-CVD risk patients at risk of incident CKD. This prediction model may help improving the healthcare strategies in primary care.

Cardiovascular Risk Based on ASCVD and KDIGO Categories in Chinese Adults: A Nationwide, Population-Based, Prospective Cohort Study

2021 ◽  
pp. ASN.2020060856
Author(s):  
Yu Xu ◽  
Mian Li ◽  
Guijun Qin ◽  
Jieli Lu ◽  
Li Yan ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Study ◽  
Risk Prediction ◽  
Cox Regression ◽  
Rank Test ◽  
Atherosclerotic Cardiovascular Disease ◽  
Cvd Risk ◽  
Cox Regression Analysis ◽  
Ascvd Risk ◽  
Risk Categories

BackgroundThe Kidney Disease Improving Global Outcomes (KDIGO) clinical practice guideline used eGFR and urinary albumin-creatinine ratio (ACR) to categorize risks for CKD prognosis. The utility of KDIGO’s stratification of major CVD risks and predictive ability beyond traditional CVD risk prediction scores are unknown.MethodsTo evaluate CVD risks on the basis of ACR and eGFR (individually, together, and in combination using the KDIGO risk categories) and with the atherosclerotic cardiovascular disease (ASCVD) score, we studied 115,366 participants in the China Cardiometabolic Disease and Cancer Cohort study. Participants (aged ≥40 years and without a history of cardiovascular disease) were examined prospectively for major CVD events, including nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death.ResultsDuring 415,111 person-years of follow-up, 2866 major CVD events occurred. Incidence rates and multivariable-adjusted hazard ratios of CVD events increased significantly across the KDIGO risk categories in ASCVD risk strata (all P values for log-rank test and most P values for trend in Cox regression analysis <0.01). Increases in c statistic for CVD risk prediction were 0.01 (0.01 to 0.02) in the overall study population and 0.03 (0.01 to 0.04) in participants with diabetes, after adding eGFR and log(ACR) to a model including the ASCVD risk score. In addition, adding eGFR and log(ACR) to a model with the ASCVD score resulted in significantly improved reclassification of CVD risks (net reclassification improvements, 4.78%; 95% confidence interval, 3.03% to 6.41%).ConclusionsUrinary ACR and eGFR (individually, together, and in combination using KDIGO risk categories) may be important nontraditional risk factors in stratifying and predicting major CVD events in the Chinese population.

Abstract 36: The Role of Sleep as a Cardiovascular Health Metric: Does It Improve Cardiovascular Disease Risk Prediction? Results From The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Nour Makarem ◽  
Cecilia Castro-Diehl ◽  
Marie-Pierre St-Onge ◽  
Susan Redline ◽  
Steven Shea ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Sleep Duration ◽  
Risk Prediction ◽  
Cardiovascular Health ◽  
Cvd Risk ◽  
Sleep Study ◽  
Lower Odds ◽  
Wrist Actigraphy ◽  
Incident Cases

Background: The AHA Life’s Simple 7 (LS7) is a measure of cardiovascular health (CVH). Sufficient and healthy sleep has been linked to higher LS7 scores and lower cardiovascular disease (CVD) risk, but sleep has not been included as a CVH metric. Hypothesis: A CVH score that includes the LS7 plus sleep metrics would be more strongly associated with CVD outcomes than the LS7 score. Methods: Participants were n=1920 diverse adults (mean age: 69.5 y) in the MESA Sleep Study who completed 7 days of wrist actigraphy, overnight in-home polysomnography, and sleep questionnaires. Logistic regression and Cox proportional hazards models were used to compare the LS7 score and 4 new CVH scores that incorporate aspects of sleep in relation to CVD prevalence and incidence (Table). There were 95 prevalent CVD events at the Sleep Exam and 93 incident cases during a mean follow up of 4.4y. Results: The mean LS7 score was 7.3, and the means of the alternate CVH scores ranged from 7.4 to 7.8. Overall, 63% of participants slept <7h, 10% had sleep efficiency <85%, 14% and 36% reported excess daytime sleepiness and insomnia, respectively, 47% had obstructive sleep apnea, and 39% and 25% had high night-to-night variability in sleep duration and sleep onset timing. The LS7 score was not significantly associated with CVD prevalence or incidence (Table). Those in the highest vs. lowest tertile of CVH score 1, that included sleep duration, and CVH score 2, that included sleep characteristics linked to CVD in the literature, had lower odds of prevalent CVD. Those in the highest vs. lowest tertile of CVH scores 3 and 4, which included sleep characteristics linked to cardiovascular risk in MESA, had lower odds of prevalent CVD and lower risk of developing CVD. Conclusions: CVH scores that include sleep were more strongly associated with CVD prevalence and incidence than the traditional LS7 score. The incorporation of sleep as a metric of CVH, akin to other health behaviors, may improve CVD risk prediction. Findings warrant confirmation in larger samples and over longer follow-up.

scholarly journals Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study

BMJ ◽  
2020 ◽  
pp. m3464 ◽  
Author(s):  
Yi-Xin Wang ◽  
Mariel Arvizu ◽  
Janet W Rich-Edwards ◽  
Jennifer J Stuart ◽  
JoAnn E Manson ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Cycle Length ◽  
Premature Mortality ◽  
Health Study ◽  
Menstrual Cycles ◽  
Hazard Ratios

AbstractObjectiveTo evaluate whether irregular or long menstrual cycles throughout the life course are associated with all cause and cause specific premature mortality (age <70 years).DesignProspective cohort study.SettingNurses’ Health Study II (1993-2017).Participants79 505 premenopausal women without a history of cardiovascular disease, cancer, or diabetes and who reported the usual length and regularity of their menstrual cycles at ages 14-17 years, 18-22 years, and 29-46 years.Main outcome measuresHazard ratios and 95% confidence intervals for all cause and cause specific premature mortality (death before age 70 years) were estimated from multivariable Cox proportional hazards models.ResultsDuring 24 years of follow-up, 1975 premature deaths were documented, including 894 from cancer and 172 from cardiovascular disease. Women who reported always having irregular menstrual cycles experienced higher mortality rates during follow-up than women who reported very regular cycles in the same age ranges. The crude mortality rate per 1000 person years of follow-up for women reporting very regular cycles and women reporting always irregular cycles were 1.05 and 1.23 for cycle characteristics at ages 14-17 years, 1.00 and 1.37 for cycle characteristics at ages 18-22 years, and 1.00 and 1.68 for cycle characteristics at ages 29-46 years. The corresponding multivariable adjusted hazard ratios for premature death during follow-up were 1.18 (95% confidence interval 1.02 to 1.37), 1.37 (1.09 to 1.73), and 1.39 (1.14 to 1.70), respectively. Similarly, women who reported that their usual cycle length was 40 days or more at ages 18-22 years and 29-46 years were more likely to die prematurely than women who reported a usual cycle length of 26-31 days in the same age ranges (1.34, 1.06 to 1.69; and 1.40, 1.17 to 1.68, respectively). These relations were strongest for deaths related to cardiovascular disease. The higher mortality associated with long and irregular menstrual cycles was slightly stronger among current smokers.ConclusionsIrregular and long menstrual cycles in adolescence and adulthood are associated with a greater risk of premature mortality (age <70 years). This relation is slightly stronger among women who smoke.

scholarly journals Vitamin D intake and risk of CVD and all-cause mortality: evidence from the Caerphilly Prospective Cohort Study

2017 ◽  
Vol 20 (15) ◽  
pp. 2744-2753 ◽  
Author(s):  
Jing Guo ◽  
John R Cockcroft ◽  
Peter C Elwood ◽  
Janet E Pickering ◽  
Julie A Lovegrove ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Vitamin D ◽  
Cohort Study ◽  
Diastolic Blood Pressure ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Cvd Risk ◽  
Vitamin D Intake ◽  
All Cause Mortality

AbstractObjectiveProspective data on the associations between vitamin D intake and risk of CVD and all-cause mortality are limited and inconclusive. The aim of the present study was to investigate the associations between vitamin D intake and CVD risk and all-cause mortality in the Caerphilly Prospective Cohort Study.DesignThe associations of vitamin D intake with CVD risk markers were examined cross-sectionally at baseline and longitudinally at 5-year, 10-year and >20-year follow-ups. In addition, the predictive value of vitamin D intake for CVD events and all-cause mortality after >20 years of follow-up was examined. Logistic regression and general linear regression were used for data analysis.SettingParticipants in the UK.SubjectsMen (n452) who were free from CVD and type 2 diabetes at recruitment.ResultsHigher vitamin D intake was associated with increased HDL cholesterol (P=0·003) and pulse pressure (P=0·04) and decreased total cholesterol:HDL cholesterol (P=0·008) cross-sectionally at baseline, but the associations were lost during follow-up. Furthermore, higher vitamin D intake was associated with decreased concentration of plasma TAG at baseline (P=0·01) and at the 5-year (P=0·01), but not the 10-year examination. After >20 years of follow-up, vitamin D was not associated with stroke (n72), myocardial infarctions (n142), heart failure (n43) or all-cause mortality (n281), but was positively associated with increased diastolic blood pressure (P=0·03).ConclusionsThe study supports associations of higher vitamin D intake with lower fasting plasma TAG and higher diastolic blood pressure.

scholarly journals Predictive Value of the Cardio‐Ankle Vascular Index for Cardiovascular Events in Patients at Cardiovascular Risk

2021 ◽  
Author(s):  
Toru Miyoshi ◽  
Hiroshi Ito ◽  
Kohji Shirai ◽  
Shigeo Horinaka ◽  
Jitsuo Higaki ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Cohort Study ◽  
Arterial Stiffness ◽  
Prospective Cohort ◽  
Cardiovascular Events ◽  
Primary Outcome ◽  
Cardiovascular Death ◽  
Disease Risks

Background Arterial stiffness is an important predictor of cardiovascular events; however, indexes for measuring arterial stiffness have not been widely incorporated into routine clinical practice. This study aimed to determine whether the cardio‐ankle vascular index (CAVI), based on the blood pressure–independent stiffness parameter β and reflecting arterial stiffness from the origin of the ascending aorta, is a good predictor of cardiovascular events in patients with cardiovascular disease risk factors in a large prospective cohort. Methods and Results This multicenter prospective cohort study, commencing in May 2013, with a 5‐year follow‐up period, included patients (aged 40‒74 years) with cardiovascular disease risks. The primary outcome was the composite of cardiovascular death, nonfatal stroke, or nonfatal myocardial infarction. Among 2932 included patients, 2001 (68.3%) were men; the mean (SD) age at diagnosis was 63 (8) years. During the median follow‐up of 4.9 years, 82 participants experienced primary outcomes. The CAVI predicted the primary outcome (hazard ratio, 1.38; 95% CI, 1.16‒1.65; P <0.001). In terms of event subtypes, the CAVI was associated with cardiovascular death and stroke but not with myocardial infarction. When the CAVI was incorporated into a model with known cardiovascular disease risks for predicting cardiovascular events, the global χ 2 value increased from 33.8 to 45.2 ( P <0.001), and the net reclassification index was 0.254 ( P =0.024). Conclusions This large cohort study demonstrated that the CAVI predicted cardiovascular events. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01859897.

scholarly journals Lifestyle Strategies for Risk Factor Reduction, Prevention, and Treatment of Cardiovascular Disease

2018 ◽  
Vol 13 (2) ◽  
pp. 204-212 ◽  
Author(s):  
James M. Rippe
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Health ◽  
American Heart ◽  
Heart Association ◽  
Lifestyle Factors ◽  
Cvd Risk ◽  
Lifestyle Medicine ◽  
Ideal Cardiovascular Health ◽  
Overwhelming Evidence ◽  
The Impact

Daily habits and actions powerfully affect the risk of cardiovascular disease (CVD), in general, and coronary heart disease, in particular. Regular physical activity, sound nutrition, weight management, and not smoking cigarettes have all been demonstrated to significantly reduce the risk of CVD. In 2 large cohort studies a reduction of risk of CVD of >80% and diabetes >90% were demonstrated in individuals who followed a cluster of these lifestyle practices. The study of the impact of lifestyle factors on CVD risk has coalesced under the framework of “lifestyle medicine.” Despite the overwhelming evidence that lifestyle factors affect CVD, a distinct minority of individuals are following these practices. The American Heart Association estimates that only 5% of individuals follow all of these lifestyle factors as components of a strategy to achieve “ideal” cardiovascular health. The challenge to the medical and health care communities is to more aggressively incorporate this information into the daily practices of medicine.

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