Lu Yao

Effects of Low-Carbohydrate Diets Versus Low-Fat Diets on Metabolic Risk Factors: A Meta-Analysis of Randomized Controlled Clinical Trials

The effects of low-carbohydrate diets (≤45% of energy from carbohydrates) versus low-fat diets (≤30% of energy from fat) on metabolic risk factors were compared in a meta-analysis of randomized controlled trials. Twenty-three trials from multiple countries with a total of 2,788 participants met the predetermined eligibility criteria (from January 1, 1966 to June 20, 2011) and were included in the analyses. Data abstraction was conducted in duplicate by independent investigators. Both low-carbohydrate and low-fat diets lowered weight and improved metabolic risk factors. Compared with participants on low-fat diets, persons on low-carbohydrate diets experienced a slightly but statistically significantly lower reduction in total cholesterol (2.7 mg/dL; 95% confidence interval: 0.8, 4.6), and low density lipoprotein cholesterol (3.7 mg/dL; 95% confidence interval: 1.0, 6.4), but a greater increase in high density lipoprotein cholesterol (3.3 mg/dL; 95% confidence interval: 1.9, 4.7) and a greater decrease in triglycerides (-14.0 mg/dL; 95% confidence interval: -19.4, -8.7). Reductions in body weight, waist circumference and other metabolic risk factors were not significantly different between the 2 diets. These findings suggest that low-carbohydrate diets are at least as effective as low-fat diets at reducing weight and improving metabolic risk factors. Low-carbohydrate diets could be recommended to obese persons with abnormal metabolic risk factors for the purpose of weight loss. Studies demonstrating long-term effects of low-carbohydrate diets on cardiovascular events were warranted.

Lifetime Risk and Risk Factors for Abdominal Aortic Aneurysm in a 24-Year Prospective Study The ARIC Study (Atherosclerosis Risk in Communities)

Objective—Abdominal aortic aneurysm (AAA) is an important vascular disease in older adults, but data on lifetime risk of AAA are sparse. We examined lifetime risk of AAA in a community-based cohort and prospectively assessed the association between midlife cardiovascular risk factors and AAAs. Approach and Results—In ARIC study (Atherosclerosis Risk in Communities), 15 792 participants were recruited at visit 1 in 1987 to 1989 and followed up through 2013. Longitudinal smoking status was defined using smoking behavior ascertained from visit 1 (1987–1989) to visit 4 (1996–1998). We followed up participants for incident, clinical AAAs using hospital discharge diagnoses, Medicare outpatient diagnoses, or death certificates through 2011 and identified 590 incident AAAs. An abdominal ultrasound was conducted in 2011 to 2013 in 5911 surviving participants, and 75 asymptomatic AAAs were identified. We estimated the lifetime risk of AAA from the index age 45 years through 85 years of age. At age 45, the lifetime risk for AAA was 5.6% (95% confidence interval, 4.8–6.1) and was higher in men (8.2%) and current smokers (10.5%). Smokers who quit smoking between visit 1 and visit 4 had a 29% lower AAA lifetime risk compared with continuous smokers but had a higher risk than pre-visit 1 quitters. The lifetime risk of rupture or medical intervention was 1.6% (95% confidence interval, 1.2–1.8). Smoking, white race, male sex, greater height, and greater low-density lipoprotein or total cholesterol were associated with an increased risk of clinical AAA and asymptomatic AAA. Conclusions—At least 1 in 9 middle-aged current smokers developed AAA in their lifetime. Smoking cessation reduced the lifetime risk of AAA.

Childhood obesity patterns and relation to middle-age sleep apnoea risk: the Bogalusa Heart Study.

Obese adults have a higher risk of obstructive sleep apnoea (OSA); however, the relationship between childhood obesity and adult OSA risk is unclear.

Adherence to low‐carbohydrate and low‐fat diets in relation to weight loss and cardiovascular risk factors

A low‐carbohydrate diet can reduce body weight and some cardiovascular disease risk factors more than a low‐fat diet, but differential adherence may play a role in these effects.

Parathyroid hormone and the risk of incident hypertension: The Atherosclerosis Risk in Communities study

Background: Recent evidence suggests that parathyroid hormone (PTH) has effects on vascular smooth muscle cells, the rennin–angiotensin system and kidney function, but less is known about its role in the development of hypertension. The distribution of serum PTH also varies by race. Methods and results: Therefore, we examined the relation between PTH and incident hypertension and tested for interaction by race among 7504 Atherosclerosis Risk in Communities participants (1264 black, 6240 white, median age 56 years) without initial hypertension in 1990–1992. During a median follow-up of 6 years, 1487 white and 509 black participants developed hypertension. In the overall study population, PTH was not associated with incident hypertension after adjustment for demographics and behavioral risk factors [hazard ratio highest vs. lowest quintiles, 95% confidence interval: 1.11 (0.96–1.28); P for linear trend 0.02]. Although the interaction was not statistically significant (P = 0.60), there was some evidence that the PTH-hypertension association differed by race. Among blacks, PTH was positively associated with incident hypertension, independent of demographics, and behavioral risk factors (P for linear trend 0.003). Among whites, PTH was not associated with hypertension risk. Results were similar when comparing participants with elevated versus nonelevated PTH (≥65 vs. <65 pg/ml): hazard ratio in blacks: 1.24 (1.02–1.54); hazard ratio in whites: 0.95 (0.78–1.16). Conclusions: In this large community-based cohort, PTH levels, overall, were not independently associated with the risk of hypertension. However, we found some evidence that PTH may be associated with hypertension in blacks. Future research should continue to explore potential race differences in the PTH-hypertension association.

The Association of Biomarkers of Inflammation and Extracellular Matrix Degradation With the Risk of Abdominal Aortic Aneurysm: The ARIC Study

Animal and human laboratory studies suggest that the pathogenesis of abdominal aortic aneurysms (AAAs) involves inflammation and degradation and remodeling of the extracellular matrix. This study prospectively assessed the association between biomarkers for these mechanisms and the presence of AAA during 24 years of follow-up in the Atherosclerosis Risk in Communities (ARIC) study. The ARIC prospectively identified clinically diagnosed AAAs in 15 792 men and women from baseline in 1987 to 1989 to 2011 using hospital discharge codes and death records. Additional asymptomatic AAAs were detected by an abdominal ultrasound scan in 2011 to 2013. Matrix metalloproteinase (MMP)-3, MMP-9, interleukin 6 (IL-6), N-terminal propeptide of Type III procollagen (PIIINP), and osteopontin were measured in blood samples collected between 1987 and 1992 in participants with AAA (544 clinically diagnosed AAAs and 72 ultrasound-detected AAAs) and a random sample of 723 participants selected from baseline and matched with AAAs by age, race and sex. Higher concentrations of MMP-9 and IL-6 were associated with future risk of clinically diagnosed AAA (hazard ratios [95% confidence intervals]: 1.55 [1.22-1.97] and 1.87 [1.48-2.35], respectively, comparing highest versus lowest tertiles) after multivariable adjustment (P for trend < .001). Matrix metalloproteinase-9 was also associated with ultrasound-detected AAA. In conclusion, blood concentrations of MMP-9 and IL-6 measured in middle age predicted the risk of AAA during 24 years of follow-up.

Postural hand tremor and incident hypertension in young to middle-aged adults: the Bogalusa heart study.

Background: Hand tremor and blood pressure (BP) are both increased by adrenergic stimulation and reduced by &bgr;-blockade, indicating that they may share a common underlying pathophysiology. Methods: We prospectively examined the relationship between postural hand tremor and incident hypertension in a community-based cohort of 715 (184 blacks and 531 whites) adults without hypertension and not using medications to control tremor (e.g. &bgr;-blockers). At baseline, tremor was measured with participants holding a laser pointer aimed at a sheet of Polaroid film 8 feet away with arm outstretched for 8 s in a darkened room, and characterized by the width of the circle diameter encompassing all exposures and enumeration of exposure dots in the same area. Incident hypertension was defined as new elevation of BP (SBP ≥ 140 or DBP ≥ 90 mmHg, based on an average of six readings over two visits) or antihypertensive medication use. Results: During a median follow-up of 6.4 years, 198 (69 blacks and 129 whites) participants developed hypertension. Tremor measurements (by quartile) were positively associated with incident hypertension after adjustment for baseline demographics, lifestyle characteristics, and BP. There was significant interaction by race (P = 0.01). Among whites, tremor was positively associated with incident hypertension [hazard ratio highest vs. lowest quartile: 2.50 (95% confidence interval: 1.40–4.48) dot method and 3.24 (1.78–5.90) circular method; both P trend <0.01]. Among blacks, tremor was not associated with hypertension. Conclusion: In this community-based cohort, postural hand tremor was strongly associated with the risk of incident hypertension among whites and merits further study as a potential indicator of risk for hypertension.

Circulating Biomarkers and Abdominal Aortic Aneurysm IncidenceCLINICAL PERSPECTIVE: The Atherosclerosis Risk in Communities (ARIC) Study

Background— The pathogenesis of abdominal aortic aneurysm (AAA) is complex. Cross-sectional studies have connected circulating biomarkers with AAA, but prospective evidence is limited. Methods and Results— In the Atherosclerosis Risk in Communities Study cohort, we measured multiple blood biomarkers of inflammation, hemostasis, thrombin generation, cardiac dysfunction, and vascular stiffness and identified incident AAAs during follow-up using hospital discharge codes. Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-terminal pro-brain natriuretic peptide, and high-sensitivity C-reactive protein) were strongly associated positively with AAA incidence. Compared with having none of these 6 biomarkers in the highest quartile, the hazard ratios of AAA for those with 1, 2, 3, or 4 to 6 biomarkers in the highest quartile were 2.2, 3.3, 4.0, and 9.9, respectively ( P for trend < 0.0001) after adjustment for other risk factors. Conclusions— This prospective study found that higher concentrations of 6 biomarkers were associated with increased risk of AAA. The more markers that fell into the highest quartile, the higher the AAA risk was. Multiple positive biomarkers identify a subgroup of patients at high risk of AAA. # CLINICAL PERSPECTIVE {#article-title-25}Background— The pathogenesis of abdominal aortic aneurysm (AAA) is complex. Cross-sectional studies have connected circulating biomarkers with AAA, but prospective evidence is limited. Methods and Results— In the Atherosclerosis Risk in Communities Study cohort, we measured multiple blood biomarkers of inflammation, hemostasis, thrombin generation, cardiac dysfunction, and vascular stiffness and identified incident AAAs during follow-up using hospital discharge codes. Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-terminal pro-brain natriuretic peptide, and high-sensitivity C-reactive protein) were strongly associated positively with AAA incidence. Compared with having none of these 6 biomarkers in the highest quartile, the hazard ratios of AAA for those with 1, 2, 3, or 4 to 6 biomarkers in the highest quartile were 2.2, 3.3, 4.0, and 9.9, respectively (P for trend < 0.0001) after adjustment for other risk factors. Conclusions— This prospective study found that higher concentrations of 6 biomarkers were associated with increased risk of AAA. The more markers that fell into the highest quartile, the higher the AAA risk was. Multiple positive biomarkers identify a subgroup of patients at high risk of AAA.

Circulating Biomarkers and Abdominal Aortic Aneurysm IncidenceCLINICAL PERSPECTIVE

Background— The pathogenesis of abdominal aortic aneurysm (AAA) is complex. Cross-sectional studies have connected circulating biomarkers with AAA, but prospective evidence is limited. Methods and Results— In the Atherosclerosis Risk in Communities Study cohort, we measured multiple blood biomarkers of inflammation, hemostasis, thrombin generation, cardiac dysfunction, and vascular stiffness and identified incident AAAs during follow-up using hospital discharge codes. Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-terminal pro-brain natriuretic peptide, and high-sensitivity C-reactive protein) were strongly associated positively with AAA incidence. Compared with having none of these 6 biomarkers in the highest quartile, the hazard ratios of AAA for those with 1, 2, 3, or 4 to 6 biomarkers in the highest quartile were 2.2, 3.3, 4.0, and 9.9, respectively ( P for trend < 0.0001) after adjustment for other risk factors. Conclusions— This prospective study found that higher concentrations of 6 biomarkers were associated with increased risk of AAA. The more markers that fell into the highest quartile, the higher the AAA risk was. Multiple positive biomarkers identify a subgroup of patients at high risk of AAA. # CLINICAL PERSPECTIVE {#article-title-25}Background— The pathogenesis of abdominal aortic aneurysm (AAA) is complex. Cross-sectional studies have connected circulating biomarkers with AAA, but prospective evidence is limited. Methods and Results— In the Atherosclerosis Risk in Communities Study cohort, we measured multiple blood biomarkers of inflammation, hemostasis, thrombin generation, cardiac dysfunction, and vascular stiffness and identified incident AAAs during follow-up using hospital discharge codes. Six biomarkers (white blood cell count, fibrinogen, D-dimer, troponin T, N-terminal pro-brain natriuretic peptide, and high-sensitivity C-reactive protein) were strongly associated positively with AAA incidence. Compared with having none of these 6 biomarkers in the highest quartile, the hazard ratios of AAA for those with 1, 2, 3, or 4 to 6 biomarkers in the highest quartile were 2.2, 3.3, 4.0, and 9.9, respectively (P for trend < 0.0001) after adjustment for other risk factors. Conclusions— This prospective study found that higher concentrations of 6 biomarkers were associated with increased risk of AAA. The more markers that fell into the highest quartile, the higher the AAA risk was. Multiple positive biomarkers identify a subgroup of patients at high risk of AAA.