Comparison of Five Different Criteria for Diagnosis of Subclinical Hypothyroidism in a Large-Scale Chinese Population.

BACKGROUND: Several different criteria for subclinical hypothyroidism (SCH) have been used in the literature, but the performance of these criteria was unknown. OBJECTIVE: This retrospective study was to evaluate the diagnostic criteria for SCH. METHODS: Eligible participants were based on centration of thyroglobulin antibodies (TG-Ab), thyroid peroxidase antibodies (TPO-Ab), and five thyroid-related hormones including total thyroxine (TT4), total triiodothyronine (TT3), free thyroxine (FT4), free triiodothyronine (FT3), and thyroid-stimulating hormone (TSH). Euthyroid individuals were identified via specific criteria. Five different SCH diagnostic criteria were compared based on the distributions of those indicators. An appropriate TSH cut-off value was reconsidered. RESULTS: The study included 145,015 participants. The number of SCH cases diagnosed using criterion 5 was significantly different compared to the cases diagnosed using criteria 1-4 (P<0.05) and had the highest positive proportions of TG-Ab and TPO-Ab. Analysis of 60,515 subjects with normal other thyroid hormones revealed a median TSH concentration of 2.04 mIU/L, and the P 2.5-P 97.5 CI was 0.48-7.03 mIU/L. When the threshold for TSH elevation was elevated from ≥4.5 mIU/L to ≥6.50 mIU/L, the number of diagnosed SCH cases decreased from 7.30% to 2.09% and the proportions of positive TG-Ab and TPO-Ab increased from 23.69% and 24.07% to 33.75% and 35.06%, respectively (P<0.01). CONCLUSIONS: Combination of an elevated TSH and normal TT3, TT4, FT3, and FT4 concentrations is a must for the diagnosis of SCH. A new TSH threshold should be identified for better patient monitoring and management, according to the real-world characteristics of TSH distribution in Chinese population.

Dynamic SARS-CoV-2-Specific Immunity in Critically Ill Patients With Hypertension.

Background: The current outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses an unprecedented health crisis. The most common chronic illness among patients infected with SARS-CoV-2 is hypertension. Immune dysregulation plays an important role in SARS-CoV-2 infection and in the development of hypertension; however, the dynamic immunological characteristics of COVID-19 patients with hypertension remain largely unclear. Methods: In total, 258 hypertensive patients infected with SARS-CoV-2 were included in this study. CD38+HLA-DR+ and CD38+PD-1+ CD8+ T cells, IFNγ+CD4+ and IFNγ+CD8+ T cells, the titers of IgG, IgM, and IgA against SARS-CoV-2 spike protein, and SARS-CoV-2 throat viral loads were measured weekly over 4 weeks after the onset of symptoms. Clinical outcomes were also monitored. Findings: CD4+ T lymphopenia was observed in 100% of the severe and critical cases. Compared with the surviving patients, the patients with fatal outcomes exhibited high and prolonged expression of CD38+HLA-DR+ and CD38+PD-1+ on CD8+ T cells, low expression of SARS-CoV-2-specific IFNγ+CD4+ and IFNγ+CD8+ T cells, low titers of IgG, IgM, and IgA against SARS-CoV-2 spike protein, and high SARS-CoV-2 viral load during the illness. In the surviving patients, the viral load was significantly inversely correlated with SARS-CoV-2-specific IFNγ+CD8+and IFNγ+CD4+ T cells, IgG, IgM, and IgA. Interpretation: T lymphopenia is common in critical or severe COVID-19 cases with hypertension. Prolonged activation and exhaustion of CD8+ T cells were associated with severe disease. The delayed SARS-CoV-2-specific antibody responses may be insufficient for overcoming severe SARS-CoV-2 infection in the absence of SARS-CoV-2-specific cellular responses.

Obesity, metabolic abnormalities, and mortality in older men.

BACKGROUND: Older adults are prone to obesity and metabolic abnormalities and recommended to pursue a normal weight especially when obesity and metabolic abnormalities are co-existed. However, few studies have reported the possible differences in the effect of obesity on outcomes between older adults with metabolic abnormalities and those without metabolic abnormalities. METHODS: A total of 3485 older men were included from 2000 to 2014. All-cause mortality and cardiovascular mortality were obtained during a mean follow-up of five years. Metabolic abnormalities were defined as having established hypertension, diabetes, or dyslipidemia and taking the disease-related medications. All participants were stratified by the presence or absence of metabolic abnormalities. RESULTS: In the non-metabolic abnormalities group, all-cause and cardiovascular deaths were lowest in overweight participants and highest in obese participants. In the metabolic abnormalities group, mortality was also lowest in overweight participants but highest in participants with normal weight. After adjustment for covariates, hazard ratios (95% CI) for all-cause death and cardiovascular death were 0.68 (0.51, 0.92) and 0.59 (0.37, 0.93), respectively, in overweight participants with metabolic abnormalities. Furthermore, obesity was not associated with mortality risk in both groups. These findings were unchanged in stratified analyses. CONCLUSIONS: Overweight was negatively associated with mortality risk in older men with metabolic abnormalities but not in those without metabolic abnormalities. Obesity did not increase death risk regardless of metabolic abnormalities. These findings suggest that the recommendation of pursuing a normal weight may be wrong in overweight/obese older men, especially for those with metabolic abnormalities.

Associations of body weight and weight change with cardiovascular events and mortality in patients with coronary heart disease.

BACKGROUND AND AIMS: It is recommended that patients with coronary heart disease (CHD) pursue a normal body weight, while the effects of body weight and weight change on prognosis are still controversial. The present study was to assess these effects using a large-scale population with CHD in China. METHODS: A total of 5276 patients with CHD were included from Jan 2000 to Dec 2014. Baseline and endpoint weights were measured. Outcomes including mortality and cardiovascular events were obtained. RESULTS: Relative to patients with normal weight, risks for adverse outcomes were lowest in overweight patients and similar in obese patients. Hazard ratios (HRs) and 95% confidence interval (95% CI) for all-cause death were 1.42 (1.06, 1.91) if overweight turned into normal weight and were 2.01 (1.28, 3.16) or 5.33 (2.81, 10.1) if obese turned into overweight or normal weight. Death risk increased with the extent of weight loss and moderate or large weight gain (p<0.05 for all). Similar results were found when risks for cardiovascular mortality and events were considered. Furthermore, these results remained significant when the patients were stratified by several covariates and even when several definitions of weight change were considered. CONCLUSIONS: Obesity did not increase adverse outcome risks in patients with CHD. Both weight loss and weight gain increased adverse outcome risks regardless of baseline body weight. The findings suggest that maintaining a stable weight may be a better strategy for the reduction of risks for cardiovascular outcomes and all-cause death in patients with CHD.

Associations between Body Composition Indices and Metabolic Disorders in Chinese Adults: A Cross-Sectional Observational Study.

BACKGROUND: Obesity induces dyslipidemia, hypertension, glucose intolerance, and inflammatory state, which results in atherogenic processes, diabetes, and cardiovascular disease. We usually use body composition indices, such as body mass index (BMI), body fat percentage (BFP), waist circumference-height ratio (WHtR), and waist-hip ratio (WHR) to reflect the obesity. The aim of this large population-based cross-sectional study was to investigate the associations between body composition indices and metabolic parameters in Chinese adults. METHODS: A total of 12,018 Chinese adults were included. Body composition indices, such as BMI, BFP, WHtR, and WHR, and metabolic parameters, such as systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), fasting blood glucose (FBG), 2 h postprandial blood glucose (2h PBG), glycosylated hemoglobin (HbA1c), fasting insulin (FINS), insulin resistance index (HOMA-IR), high-sensitivity C-reactive protein (hs-CRP), and white blood cell count (WBC), were measured and analyzed. All analyses were stratified by gender. RESULTS: All body composition indices and metabolic parameters except 2h PBG differed significantly between males and females (all P < 0.001). BMI was positively associated with SBP, DBP, LDL-C, TC, TG, FBG, 2h PBG, HbA1c, FINS, HOMA-IR, hs-CRP, and WBC, and inversely associated with HDL-C; similar relationships were identified between the metabolic parameters and BFP, WHtR, and WHR. In the multivariate analysis, the odds of impaired glucose regulation, dyslipidemia, insulin resistance, and increased hs-CRP were 1.36, 1.92, 3.44, and 1.27 times greater in the overweight group than those in the normal weight group, respectively, and 1.66, 3.26, 7.53, and 1.70 times greater in the obese group than those in the normal weight group, respectively. The odds of dyslipidemia and hs-CRP were 1.29 and 1.38 times greater in the BFP ≥28.0% group than in the BFP <28.0% group, respectively. The odds of dyslipidemia, HOMA-IR, and hs-CRP were 1.55, 1.26, and 1.48 times greater in the WHtR ≥0.96 group than in the WHtR <0.96 group, respectively. Among males, the odds of HOMA-IR were 1.46 times greater in the WHR ≥0.54 group than in the WHR <0.54 group. Similar results were observed in females. CONCLUSIONS: This study identified positive associations between all evaluated body composition indices and metabolic parameters in Chinese adults. Among the body composition indices, BMI predicted four of the five evaluated metabolic disorders in both gender groups.

Serum glycated albumin, glycated hemoglobin, and arterial stiffness in a general Chinese population.

BACKGROUND: Both glycated albumin (GA) and glycated hemoglobin (HbA1c) reflect the mean glucose levels. This study was conducted to investigate the relationships among GA, HbA1c, and arterial stiffness in the general population. METHODS: A total of 11,014 participants were included. Serum GA; HbA1c; and arterial stiffness indices, including brachial-ankle pulse wave velocity (baPWV) and central systolic blood pressure (cSBP), were measured. Single-factor and multivariate regression analyses were performed. Receiver operating characteristic (ROC) analysis was performed to compare the predictive value of GA, HbA1c, and their combination for arterial stiffness. All analyses were stratified by sex. RESULTS: Men had a lower GA level than women. GA, HbA1c, and plasma glucose levels were correlated. The levels of baPWV and cSBP increased across sex-specific quartiles of GA and HbA1c (P for trend<0.001 for all). Both GA and HbA1c were positively related to elevated baPWV and cSBP after adjusting for conventional factors (P<0.05 for all). These relationships remained significant when participants were divided into groups with normal glucose tolerance, prediabetes, or diabetes. Regarding screening for elevated baPWV and cSBP, the values of the area under the ROC curve (AUC) for GA were similar to those for HbA1c in men but were lower than those for HbA1c in women. The combination of GA and HbA1c did not improve the AUC compared with HbA1c alone. CONCLUSIONS: Both GA and HbA1c were associated with arterial stiffness. The predictive value of GA for arterial stiffness was similar in men but lower in women compared with that of HbA1c.

Effects of body mass index and weight change on mortality in older men with impaired glucose regulation.

OBJECTIVES: To assess the effect of baseline body mass index (BMI) status and weight change on mortality in older men with impaired glucose regulation (IGR). METHODS: Eight hundred eighty-five men with IGR aged 60 to 90 were included. Baseline and endpoint weight were measured. All-cause and cardiovascular mortality were observed during a median follow-up period of 10years. Multivariate Cox regressions were used to estimate associations between BMI, weight change and mortality. RESULTS: Relative to normal weight, overweight was associated with lower all-cause mortality (hazard ratios, HRs [95% confidence interval, 95% CI]: 0.57 [0.41, 0.78]) and cardiovascular mortality (0.52 [0.29, 0.93]), whereas obesity did not significantly decrease or increase the mortality risk. Furthermore, compared to weight stability, all types of weight change led to increased mortality risk, except small weight gain. Specifically, after adjustment for covariates and the initial weight, the HRs (95% CI) of large weight loss were 1.64 (1.15, 2.34) for all-cause mortality and 1.85 (1.10, 3.14) for cardiovascular mortality, and the HRs (95% CI) of large weight gain were 1.55 (1.01, 2.40) for all-cause mortality and 2.11 (1.04, 4.30) for cardiovascular mortality. Similar associations were observed when weight change was redefined in sensitivity analyses. CONCLUSIONS: Both BMI at baseline and weight change have independent U-shaped associations with all-cause and cardiovascular mortality among older men with IGR. The present study suggests that older men with IGR may ensure their best survival by being overweight at baseline or by maintaining their weight regardless of their baseline weight status.

Obesity and novel cardiovascular markers in a population without diabetes and cardiovascular disease in China.

OBJECTIVE: To investigate associations of novel cardiovascular markers with obesity in a general population. METHODS: A total of 9361 individuals without diabetes or cardiovascular disease were studied between 2009 and 2012 in China. High-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), brachial-ankle pulse wave velocity (baPWV), pulse pressure, and central systolic blood pressure (cSBP) were assessed according to body mass index (BMI) levels and different BMI/metabolic syndrome (MetS) combinations. RESULTS: 'Levels of hs-cTnT, baPWV, pulse pressure, and cSBP increased across BMI levels. Obesity was positively associated with these markers in multivariate models (P<0.05 for all). When stratified by MetS, these associations remained significant in the non-MetS group, and compared with normal weight participants, the obese participants had 1.87 (95% confidence interval: 1.48, 2.36), 1.27 (1.02, 1.57), 1.89 (1.39, 2.57), and 2.71 (2.11, 3.47) fold risks for having elevated hs-cTnT, baPWV, pulse pressure, and cSBP, respectively, and had 1.61 (1.26, 2.05), 1.75 (1.27, 2.42), 2.45 (1.46, 4.11), and 3.14 (2.13, 4.62) fold risks for having 1, 2, 3, and 4 elevated cardiovascular markers, respectively; while no relationship was observed between obesity and these novel markers in the MetS group, after multivariate adjustment. These results were unchanged when using a waist-hip ratio, body fat per cent, and visceral adiposity index to redefine obesity. CONCLUSIONS: Obesity was positively associated with novel cardiovascular markers (except NT-proBNP) in participants without MetS rather than in participants with MetS. Obese participants without MetS also had higher odds of having more number of elevated cardiovascular markers.

Dynamic use of B-type natriuretic peptide-guided acute coronary syndrome therapy.

BACKGROUND: Very few studies have evaluated the potential of using B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) as surrogate markers to guide clinical interventional or conservative therapy decisions. AIM: : The aim of the current study was to evaluate the potential of using BNP and NT-proBNP as surrogate markers to guide clinical interventional or conservative therapy decisions. METHODS: We identified randomized controlled trials that randomized patients with acute coronary syndrome (ACS) of unstable angina and myocardial infarction without ST-segment elevation ACS to early invasive therapy versus a more conservative approach by systematic search of articles and databases. RESULTS: Five randomized controlled trials with a total of 8125 patients and with a mean duration of 11.2 months were included in the meta-analysis. At a mean follow-up of 11.2 months, the incidence of all-cause mortality was 5.9% in the early invasive group, compared with 6.8% in the conservative group (risk ratio = 0.74; 95% confidence interval, 0.59-0.86; P = 0.001). CONCLUSIONS: In summary, BNP/NT-proBNP-guided management of ACS is significantly improved by early invasive therapy by improving long-term survival and reducing nonfatal myocardial infarction for unstable angina. However, there does not seem to be a clear benefit of using such a strategy over existing clinical recommendations.

Association of EZSCAN values with arterial stiffness in individuals without diabetes or cardiovascular disease.

BACKGROUND: The EZSCAN test was recently developed to screen for early dysglycemia through an assessment of sudomotor function. Given the associations of dysglycemia and autonomic dysfunction with the development of arterial stiffness, EZSCAN may also detect early arterial stiffness. The aim of this study was to investigate the association of EZSCAN with arterial stiffness across blood glucose levels. METHODOLOGY AND PRINCIPAL FINDINGS: A total of 5532 participants without diabetes or established cardiovascular disease were evaluated with EZSCAN. Their central systolic blood pressure (cSBP), brachial-ankle pulse wave velocity (baPWV), and ankle-brachial index (ABI) were also measured. Multivariate linear regression analyses were used to assess the association between the EZSCAN value and the cSBP, baPWV, and ABI measurements in all of the participants, with additional subgroup analysis that separated participants into a normal glucose tolerance (NGT) group and an impaired glucose regulation (IGR) group. The frequency of the IGRs increased with quartiles of the EZSCAN value (P for trend <0.0001). The levels of cSBP and baPWV increased while the levels of ABI decreased across quartiles of EZSCAN value in both NGT and IGR individuals (P for trend <0.0001 for all). In multivariable analyses, the EZSCAN value was positively associated with cSBP (log-transformed beta = 8.20, P<0.0001) and baPWV (log-transformed beta = 1.82, P<0.0001) but inversely associated with ABI (log-transformed beta = -0.043, P<0.0001) and was independent of conventional factors. Further adjustment for fasting and postprandial glucoses did not attenuate the associations. The results were also unchanged when stratified by IGR. CONCLUSIONS AND SIGNIFICANCE: The EZSCAN results were associated with arterial stiffness independent of conventional factors, blood glucose levels, and glucose tolerance status, suggesting a probable link between the EZSCAN value and arterial stiffness through autonomic dysfunction. The EZSCAN test may help us detect the development of arterial stiffness in high risk individuals to prevent unfavorable cardiovascular events.

Variable food-specific IgG antibody levels in healthy and symptomatic Chinese adults.

BACKGROUND: The presence of food-specific IgG antibodies in human serum may be useful for diagnosis of adverse food reactions. However, the clinical utility of testing for such antibodies remains very controversial. The aim of this study was to evaluate the serum levels and population distribution of food-specific IgGs and their association with chronic symptoms in a large-scale Chinese population. METHODOLOGY/PRINCIPAL FINDINGS: A total of 21305 adult participants from different regions of China had 14 type of food-specific serum IgG antibodies that were measured by enzyme-linked immunosorbent assay. Among these, 5,394 participants were randomly chosen to complete follow-up questionnaire surveys on their dietary characteristics and chronic symptoms. The concentrations of food-specific IgGs against 14 foods ranged from a median (interquartile range) of 7.3 (3.8, 12.6) U/mL of pork-specific IgG to 42.3 (28.8, 60.2) U/mL of crab-specific IgG. The concentration of food-specific IgGs was closely related to gender; after adjustment for region and age, women had higher concentrations of food-specific IgGs against all of the 14 foods except chicken (regression coefficient (95% CI): 0.01 (-0.003, 0.023); P = 0.129) and corn (0.002 (-0.013, 0.016); P = 0.825). Similar results were also found in the relationship of geographic region to the food-specific IgG concentrations for the 14 foods. Chronic symptoms were negatively associated with the concentrations of a few food-specific IgGs, and were positively associated with the concentrations of other food-specific IgGs. CONCLUSIONS: The levels of food-specific IgGs were variable both in healthy and in symptomatic Chinese adults. These findings raise awareness that demographic factors, the type of food and specific chronic symptoms should be considered before food elimination treatment based on IgG testing in patients with chronic symptoms is used in clinical practice.

Ideal cardiovascular health in Chinese urban population.

BACKGROUND: The American Heart Association's 2020 Strategic Goals define a new concept of cardiovascular health. However, the prevalence of ideal cardiovascular health outside of the United States is unclear, and its relationship with psychological status has not been reported. METHOD: We included 9962 participants (mean age 47.1 years; 44.2% women) from the survey of the Disease Risk Evaluation and Health Management study from October 2009 to Feb 2012. The prevalence of poor, intermediate, and ideal cardiovascular health levels were calculated, and psychological status was assessed using the 21-item Depression Anxiety Stress Scales. RESULTS: After adjusting for sex and age, only 0.5% of the participants met ideal levels of all 7 cardiovascular health metrics, and 26.9% presented with 5 to 7 ideal health metrics. Fasting plasma glucose was the most prevalent ideal metric (71.2%), whereas physical activity was the least prevalent (18.1%). Women had a significantly higher proportion of 5 to 7 ideal health metrics compared with men (40.4% versus 13.4% after adjusting for age), and the proportion of participants who had 5 to 7 ideal health metrics significantly decreased with age (P<0.001 for trend). Furthermore, the scores for depression, anxiety, and stress showed a negative correlation with the number of ideal health metrics, with regression coefficients of -0.07, -0.07, and -0.11, respectively (P<0.05). CONCLUSIONS: Few adults met ideal levels of cardiovascular health. Individuals, communities, and health-care providers in China should be better integrated to pay closer attention to primordial prevention of unhealthy lifestyles and psychological problems.

Proteomic analysis of adverse outcomes in patients with acute coronary syndromes.

BACKGROUND: Most biomarkers lack clinical sensitivity and specificity for predicting adverse outcomes in patients with acute coronary syndromes (ACS). We identified potential predictors through proteomic analysis. METHODS: Serum proteomic analysis was performed by surface-enhanced laser desorption/ionization protein chip technology in 409 patients with ACS. The primary endpoints were 30-day and 3-year occurrence of major adverse cardiovascular events (cardiac death, non-fatal myocardial infarction and target lesion revascularization). RESULTS: A m/z 4174.39 peak was associated with an increased incidence of 3-year events. In multivariate analysis, the m/z 4174.39 peak showed an independent correlation with 3-year (over 30-day) events (hazard ratio, 2.33; 95% confidence interval (CI), 1.23 to 4.39; P=0.009 for the fourth versus first quartile), while the creatine kinase MB fraction (CK-MB) and troponin T levels were associated with 30-day events ((ln CK-MB: hazard ratio, 1.36; 95% CI, 1.07 to 1.73; P=0.013); (ln troponin T: hazard ratio, 1.36; 95% CI, 1.12 to 1.64; P=0.002)). CONCLUSIONS: The m/z 4174.39 peak is a strong marker for predicting the long-term outcomes, and may correspond to a new biomarker, such as a member of the CXC chemokine family, and provide additional prognostic value in ACS.

Percent body fat is a better predictor of cardiovascular risk factors than body mass index

The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.

Percent body fat is a better predictor of cardiovascular risk factors than body mass index.

The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.