Bethany Doran
New York University
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Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P =0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant ( P interaction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P =0.96; P interaction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel. # CLINICAL PERSPECTIVE {#article-title-45}Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P=0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant (Pinteraction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P=0.96; Pinteraction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel.
American Heart Journal | 2013
Bethany Doran; Wenyi Zhu; Peter A. Muennig
BACKGROUND The association between C-reactive protein (CRP) and cardiovascular (CV) mortality by gender has not been previously described using a data set that is representative of the US population. METHODS We used Cox proportional hazards models to explore gender differences in CRP-associated mortality via the National Health and Nutrition Examination Survey III 1988-1994 linked to the National Death Index with mortality follow-up through 2006. We examined CV mortality as well as all-cause mortality hazards. RESULTS The final sample size included a total of 13,878 individuals (7,364 women and 6,514 men) with a median follow up of 18.2 years. All models controlled for race, age, smoking, high-density lipoprotein, hypertension, diabetes mellitus, waist circumference, and total cholesterol. Men with a CRP >3.0 mg/L relative to those with a CRP ≤3.0 mg/L had elevated CV mortality hazards (hazard ratio [HR] 1.79, 95% CI 1.23-2.60) and all-cause mortality hazards (HR 1.57, 95% CI 1.29-1.90). In women, elevated CRP was not significantly associated with either increased CV (HR 1.20, 95% CI 0.90-1.59) or all-cause mortality hazards (HR 1.09, CI 0.93-1.29). CONCLUSION National guidelines from various agencies that make recommendations on the diagnostic and prognostic use of CRP have treated men and women equally. We find that there may be reason to tailor recommendations based upon ones gender.
Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P =0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant ( P interaction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P =0.96; P interaction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel. # CLINICAL PERSPECTIVE {#article-title-45}Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P=0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant (Pinteraction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P=0.96; Pinteraction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel.
Circulation | 2015
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
We appreciate the letters by Aldasouqi et al and Horne et al about our article.1 Their thought-provoking comments further strengthen the call to abandon fasting lipid panels in the majority of patients. Aldasouqi et al outline the potential dangers of the fasting requirement in patients with diabetes mellitus. Obtaining fasting lipid panels in diabetics poses risks because they may experience significant hypoglycemia if required to fast; additionally, there is the inconvenience of a second visit. Hypoglycemic episodes may lead to a number of complications, including confusion and loss of consciousness, road traffic accidents, seizures, and even death. Two major …
Evidence-based Medicine | 2014
Sripal Bangalore; Bethany Doran
Commentary on: Briasoulis A, Agarwal V, Tousoulis D, et al. Effects of antihypertensive treatment in patients over 65 years of age: a meta-analysis of randomised controlled studies. Heart 2014;100:317–23.[OpenUrl][1][Abstract/FREE Full Text][2] In individuals over 65-years old, uncontrolled hypertension has been associated with increased risk of stroke, as well as all-cause and cardiovascular death.1–3 However, optimal blood pressure (BP) targets in the elderly remain uncertain.4 Briasoulis and colleagues examine the effect of antihypertensive treatment on outcomes in individuals over the age of 65. This systematic review of 18 randomised trials enrolled patients aged over 65 with hypertension. Trials were divided into two subgroups: group 1 compared antihypertensive treatment to placebo, while group 2 compared two antihypertensive treatment groups. Outcomes included all-cause mortality, cardiovascular mortality, stroke and heart failure. A total … [1]: {openurl}?query=rft.jtitle%253DHeart%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fheartjnl-2013-304111%26rft_id%253Dinfo%253Apmid%252F23813846%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=heartjnl&resid=100/4/317&atom=%2Febmed%2F19%2F5%2F169.atom
Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P =0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant ( P interaction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P =0.96; P interaction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel. # CLINICAL PERSPECTIVE {#article-title-45}Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P=0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant (Pinteraction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P=0.96; Pinteraction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel.
Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P =0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant ( P interaction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P =0.96; P interaction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel. # CLINICAL PERSPECTIVE {#article-title-45}Background— National and international guidelines recommend fasting lipid panel measurement for risk stratification of patients for prevention of cardiovascular events. However, the prognostic value of fasting versus nonfasting low-density lipoprotein cholesterol (LDL-C) is uncertain. Methods and Results— Patients enrolled in the National Health and Nutrition Examination Survey III (NHANES-III), a nationally representative cross-sectional survey performed from 1988 to 1994, were stratified on the basis of fasting status (≥8 or <8 hours) and followed for a mean of 14.0 (±0.22) years. Propensity score matching was used to assemble fasting and nonfasting cohorts with similar baseline characteristics. The risk of outcomes as a function of LDL-C and fasting status was assessed with the use of receiver operating characteristic curves and bootstrapping methods. The interaction between fasting status and LDL-C was assessed with Cox proportional hazards modeling. Primary outcome was all-cause mortality. Secondary outcome was cardiovascular mortality. One-to-one matching based on propensity score yielded 4299 pairs of fasting and nonfasting individuals. For the primary outcome, fasting LDL-C yielded prognostic value similar to that for nonfasting LDL-C (C statistic=0.59 [95% confidence interval, 0.57–0.61] versus 0.58 [95% confidence interval, 0.56–0.60]; P=0.73), and LDL-C by fasting status interaction term in the Cox proportional hazards model was not significant (Pinteraction=0.11). Similar results were seen for the secondary outcome (fasting versus nonfasting C statistic=0.62 [95% confidence interval, 0.60–0.66] versus 0.62 [95% confidence interval, 0.60–0.66]; P=0.96; Pinteraction=0.34). Conclusions— Nonfasting LDL-C has prognostic value similar to that of fasting LDL-C. National and international agencies should consider reevaluating the recommendation that patients fast before obtaining a lipid panel.
Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Howard Weintraub; Samia Mora; David J. Maron; Sripal Bangalore
Circulation | 2014
Bethany Doran; Yu Go; Xinfeng Xu; Howard Weintraub; Samia Mora; Sripal Bangalore
Circulation | 2014
Bethany Doran; Yu Guo; Jinfeng Xu; Sripal Bangalore