Cited by 94Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Disease and AdiposityCardiovascular Function and Risk Factors

Body Mass Index and Association With Cardiovascular Outcomes in Patients With Stable Coronary Heart Disease – A STABILITY Substudy

Open access
Held, Claes, Hadziosmanovic, Nermin, Aylward, Philip E., Hagström, Emil, Hochman, Judith S., Stewart, Ralph A. H., White, Harvey D., Wallentin, Lars·2022·Journal of the American Heart Association

Abstract

BACKGROUND: The obesity paradox states that patients with higher body mass index (BMI) and cardiovascular disease may experience better prognosis. However, this is less clear in patients with coronary heart disease. METHODS AND RESULTS: The prospective STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) trial included 15 828 patients with stable coronary heart disease with 3 to 5 years’ follow‐up on optimal secondary preventive treatment. BMI was measured at baseline (n=15 785). Associations between BMI and cardiovascular outcomes were evaluated by Cox regression analyses with multivariable adjustments. Mean age was 64±9 years and 19% women. Most risk markers (diabetes, hypertension, inflammatory biomarkers, triglycerides) showed a graded association with higher BMI. The frequency of smoking, levels of high‐density lipoprotein, growth differentiation factor 15, and NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) were higher at lower BMI. Low BMI (<20 kg/m 2 ; n=244 [1.5%]) was associated with doubled risk of total death (hazard ratio [HR], 2.27; 95% CI, 1.60–3.22), cardiovascular death (HR, 2.26; 95% CI, 1.46–3.49), and heart failure (HR, 2.51; 95% CI, 1.35–4.68) compared with BMI of 25 to <30 kg/m 2 (n=6752 [42.8%]) as reference. Similarly, high BMI of ≥35 kg/m 2 (n=1768 [11.2%]) was associated with increased risk of the same outcomes. A BMI between 20 and <25 kg/m 2 was associated with increased risk of cardiovascular death (HR, 1.26; 95% CI, 1.03–1.54) and total death (HR, 1.21; 95% CI, 1.03–1.42). CONCLUSIONS: Patients with stable coronary heart disease showed a graded increase in cardiometabolic and inflammatory risk factors with increasing BMI category >25 kg/m 2 . All‐cause and cardiovascular mortality were lowest at BMI of 25 to 35 kg/m 2 . Underweight with BMI of <20 kg/m 2 and very high BMI of ≥35 kg/m 2 were strong risk markers for poor prognosis. REGISTRATION: URL: https://clinicaltrials.gov/ ; Unique identifier NCT00799903.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/jaha.121.023667

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In patients with stable coronary heart disease, a BMI below 20 kg/m2 and a BMI of 35 kg/m2 or higher were significant indicators of a poor prognosis.

    “A BMI below 20 kg/m2 and a BMI of 35 kg/m2 or higher were significant indicators of a poor prognosis [29].”

    From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [29]

    The Abstract Conclusions describe both BMI <20 and ≥35 kg/m2 as strong markers of poor prognosis in patients with stable coronary heart disease. However, the Results (BMI and Association With Clinical Outcomes; page unavailable) report that, after multivariable adjustment, the elevated risks of cardiovascular death and heart-failure hospitalization at ≥35 kg/m2 were not statistically significant; increased total mortality was confined to the very-low-BMI group. Thus, calling both thresholds significant indicators overstates the findings. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • BMI serves as a useful tool to predict the risk and prognosis of certain chronic diseases.

    “Moreover, BMI serves as a useful tool to predict the risk and prognosis of certain chronic diseases.”

    From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [29]

    The Discussion (page not provided) reports that BMI was associated with cardiovascular death, total death, and heart-failure hospitalization in patients with stable coronary heart disease. This supports BMI as a prognostic marker in that population, but the paper does not establish its usefulness for predicting the risk and prognosis of chronic diseases more generally. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • In patients with coronary heart disease, the lowest rates of all-cause and cardiovascular mortality were observed in the BMI range of 25 to 35 kg/m2.

    “Nevertheless, the lowest rates of all-cause and cardiovascular mortality among these patients with coronary heart disease were observed in the BMI range of 25 to 35 kg/m2, suggesting that BMI alone is too simplistic to give a comprehensive risk assessment in a clinical setting without consideration of many other factors.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 30

  1. [1]Kushner RF, Kahan S. Introduction: the state of obesity in 2017. Med Clin North Am. 2018; 102: 1– 11. doi: 10.1016/j.mcna.2017.08.003 29156178 · DOI
  2. [2]Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014; 384: 766– 781. doi: 10.1016/S0140-6736(14)60460-8 24880830 PMC4624264 · DOI · Paper page
  3. [4]Pi‐Sunyer FX. The obesity epidemic: pathophysiology and consequences of obesity. Obes Res. 2002; 10(Suppl 2): 97S– 104S. doi: 10.1038/oby.2002.202 12490658 · DOI
  4. [5]Dhoot J, Tariq S, Erande A, Amin A, Patel P, Malik S. Effect of morbid obesity on in‐hospital mortality and coronary revascularization outcomes after acute myocardial infarction in the United States. Am J Cardiol. 2013; 111: 1104– 1110. doi: 10.1016/j.amjcard.2012.12.033 23360768 PMC3885329 · DOI
  5. [6]Diercks DB, Roe MT, Mulgund J, Pollack CV Jr, Kirk JD, Gibler WB, Ohman EM, Smith SC Jr, Boden WE, Peterson ED. The obesity paradox in non‐ST‐segment elevation acute coronary syndromes: results from the Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology/American Heart Association Guidelines Quality Improvement Initiative. Am Heart J. 2006; 152: 140– 148. doi: 10.1016/j.ahj.2005.09.024 16824844 · DOI
  6. [7]Wienbergen H, Gitt AK, Juenger C, Schiele R, Heer T, Towae F, Gohlke H, Senges J. MITRA PLUS study group. Impact of the body mass index on occurrence and outcome of acute ST‐elevation myocardial infarction. Clin Res Cardiol. 2008; 97: 83– 88. doi: 10.1007/s00392-007-0585-x 17938850 · DOI
  7. [8]Sandhu RK, Ezekowitz J, Andersson U, Alexander JH, Granger CB, Halvorsen S, Hanna M, Hijazi Z, Jansky P, Lopes RD, et al. The “obesity paradox” in atrial fibrillation: observations from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial. Eur Heart J. 2016; 37: 2869– 2878. doi: 10.1093/eurheartj/ehw124 27071819 · DOI
  8. [9]Pagidipati NJ, Zheng Y, Green JB, McGuire DK, Mentz RJ, Shah S, Aschner P, Delibasi T, Rodbard HW, Westerhout CM, et al. Association of obesity with cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease: Insights from TECOS. Am Heart J. 2020; 219: 47– 57. doi: 10.1016/j.ahj.2019.09.016 31707324 · DOI
  9. [10]Gruberg L, Weissman NJ, Waksman R, Fuchs S, Deible R, Pinnow EE, Ahmed LM, Kent KM, Pichard AD, Suddath WO, et al. The impact of obesity on the short‐term and long‐term outcomes after percutaneous coronary intervention: the obesity paradox? J Am Coll Cardiol. 2002; 39: 578– 584. doi: 10.1016/S0735-1097(01)01802-2 11849854 · DOI · Paper page
  10. [11]Lavie CJ, De Schutter A, Parto P, Jahangir E, Kokkinos P, Ortega FB, Arena R, Milani RV. Obesity and prevalence of cardiovascular diseases and prognosis‐the obesity paradox updated. Prog Cardiovasc Dis. 2016; 58: 537– 547. doi: 10.1016/j.pcad.2016.01.008 26826295 · DOI
  11. [12]Younis A, Younis A, Goldkorn R, Goldenberg I, Peled Y, Tzur B, Klempfner R. The association of body mass index and 20‐year all‐cause mortality among patients with stable coronary artery disease. Heart Lung Circ. 2019; 28: 719– 726. doi: 10.1016/j.hlc.2018.02.015 29581037 · DOI
  12. [13]White HD, Stewart RAH, Dalby AJ, Stebbins A, Cannon CP, Budaj A, Linhart A, Pais P, Diaz R, Steg PG, et al. In patients with stable coronary heart disease, low‐density lipoprotein‐cholesterol levels < 70 mg/dL and glycosylated hemoglobin A1c <7% are associated with lower major cardiovascular events. Am Heart J. 2020; 225: 97– 107. doi: 10.1016/j.ahj.2020.04.004 32480059 · DOI
  13. [15]Vedin O, Hagström E, Stewart R, Brown R, Krug‐Gourley S, Davies R, Wallentin L, White H, Held C. Secondary prevention and risk factor target achievement in a global, high‐risk population with established coronary heart disease: baseline results from the STABILITY study. Eur J Prev Cardiol. 2013; 20: 678– 685. doi: 10.1177/2047487312444995 22496275 · DOI
  14. [16]Hagström E, Held C, Stewart RAH, Aylward PE, Budaj A, Cannon CP, Koenig W, Krug‐Gourley S, Mohler ER, Steg PG, et al. Growth differentiation factor 15 predicts all‐cause morbidity and mortality in stable coronary heart disease. Clin Chem. 2017; 63: 325– 333. doi: 10.1373/clinchem.2016.260570 27811204 · DOI
  15. [17]Lindholm D, Lindbäck J, Armstrong PW, Budaj A, Cannon CP, Granger CB, Hagström E, Held C, Koenig W, Östlund O, et al. Biomarker‐based risk model to predict cardiovascular mortality in patients with stable coronary disease. J Am Coll Cardiol. 2017; 70: 813– 826. doi: 10.1016/j.jacc.2017.06.030 28797349 · DOI
  16. [18]Wallentin L, Held C, Armstrong PW, Cannon CP, Davies RY, Granger CB, Hagström E, Harrington RA, Hochman JS, Koenig W, et al. Lipoprotein‐associated phospholipase A2 activity is a marker of risk but not a useful target for treatment in patients with stable coronary heart disease. J Am Heart Assoc. 2016; 5: e003407. doi: 10.1161/JAHA.116.003407 27329448 PMC4937279 · DOI
  17. [19]White H, Held C, Stewart R, Watson D, Harrington R, Budaj A, Steg PG, Cannon CP, Krug‐Gourley S, Wittes J, et al. Study design and rationale for the clinical outcomes of the STABILITY Trial (STabilization of Atherosclerotic plaque By Initiation of darapLadIb TherapY) comparing darapladib versus placebo in patients with coronary heart disease. Am Heart J. 2010; 160: 655– 661. doi: 10.1016/j.ahj.2010.07.006 20934559 · DOI
  18. [20]White HD, Held C, Stewart R, Tarka E, Brown R, Davies RY, Budaj A, Harrington RA, Steg PG, Ardissino D, et al. Darapladib for preventing ischemic events in stable coronary heart disease. N Engl J Med. 2014; 370: 1702– 1711. doi: 10.1056/NEJMoa1315878 24678955 · DOI · Paper page
  19. [21]Held C, White HD, Stewart RAH, Budaj A, Cannon CP, Hochman JS, Koenig W, Siegbahn A, Steg PG, Soffer J, et al. Inflammatory biomarkers interleukin‐6 and C‐reactive protein and outcomes in stable coronary heart disease: experiences from the STABILITY (Stabilization of atherosclerotic plaque by initiation of Darapladib Therapy) trial. J Am Heart Assoc. 2017; 6: e005077. doi: 10.1161/JAHA.116.005077 29066452 PMC5721818 · DOI
  20. [23]Romero‐Corral A, Montori VM, Somers VK, Korinek J, Thomas RJ, Allison TG, Mookadam F, Lopez‐Jimenez F. Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet. 2006; 368: 666– 678. doi: 10.1016/S0140-6736(06)69251-9 16920472 · DOI · Paper page
  21. [24]Minutello RM, Chou ET, Hong MK, Bergman G, Parikh M, Iacovone F, Wong SC. Impact of body mass index on in‐hospital outcomes following percutaneous coronary intervention (report from the New York State Angioplasty Registry). Am J Cardiol. 2004; 93: 1229– 1232. doi: 10.1016/j.amjcard.2004.01.065 15135694 · DOI
  22. [25]Timóteo AT, Ramos R, Toste A, Oliveira JA, Ferreira ML, Ferreira RC. Impact of body mass index in the results after primary angioplasty in patients with ST segment elevation acute myocardial infarction. Acute Card Care. 2011; 13: 123– 128. doi: 10.3109/17482941.2011.606469 21877872 · DOI
  23. [26]Doehner W, Gerstein HC, Ried J, Jung H, Asbrand C, Hess S, Anker SD. Obesity and weight loss are inversely related to mortality and cardiovascular outcome in prediabetes and type 2 diabetes: data from the ORIGIN trial. Eur Heart J. 2020; 41: 2668– 2677. doi: 10.1093/eurheartj/ehaa293 32402060 PMC7377581 · DOI
  24. [27]Wallentin L, Eriksson N, Olszowka M, Grammer TB, Hagström E, Held C, Kleber ME, Koenig W, März W, Stewart RAH, et al. Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: a retrospective study. PLoS Medicine. 2021; 18: e1003513. doi: 10.1371/journal.pmed.1003513 33439866 PMC7817029 · DOI
  25. [28]Leistner DM, Bazara S, Münch C, Steiner J, Erbay A, Siegrist PT, Skurk C, Lauten A, Müller‐Werdan U, Landmesser U, et al. Association of the body mass index with outcomes in elderly patients (≥80 years) undergoing percutaneous coronary intervention. Int J Cardiol. 2019; 292: 73– 77. doi: 10.1016/j.ijcard.2019.06.044 31256990 · DOI
  26. [29]WHO Expert Consulation. Appropriate body‐mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004; 363: 157– 163. 14726171
  27. [30]Ashwell M, Gunn P, Gibson S. Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis. Obes Rev. 2012; 13: 275– 286. doi: 10.1111/j.1467-789X.2011.00952.x 22106927 · DOI · Paper page
  28. [32]Lechner K, Halle M. Are atherogenic lipoprotein phenotype and inflammation indicative of plaque phenotype and clinical stability in coronary artery disease? JAMA Cardiol. 2019; 4: 950– 951. doi: 10.1001/jamacardio.2019.2261 31314043 · DOI
  29. [34]Bangalore S, Fayyad R, Laskey R, DeMicco DA, Messerli FH, Waters DD. Body‐weight fluctuations and outcomes in coronary disease. N Engl J Med. 2017; 376: 1332– 1340. doi: 10.1056/NEJMoa1606148 28379800 · DOI
  30. [35]Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, Qizilbash N, Collins R, Peto R. Body‐mass index and cause‐specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009; 373: 1083– 1096. doi: 10.1016/S0140-6736(09)60318-4 19299006 PMC2662372 · DOI · Paper page

Cited by

Sorted by citations

Authors
Held, C., Hadziosmanovic, N., Aylward, P. E., Hagström, E., Hochman, J. S., Stewart, R. A. H., White, H. D., & Wallentin, L.
Affiliations
  • Uppsala University (SE)
  • Flinders University (AU)
  • NYU Langone Health (US)
  • University of Auckland (NZ)
Corresponding author
Held, Claes
Venue
Journal of the American Heart Association
Published
2022-02
Volume
11
Issue
3
Pages
e023667-e023667
ISSN
2047-9980 (ISSN-L)
OpenAlex
W4205178117
Cited by
94
References
5
Citations by year
2026: 17 · 2025: 30 · 2024: 25 · 2023: 17 · 2022: 5
FWCI
14.27
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Journal of the American Heart Association (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
Keywords
body mass index, obesity paradox, stable coronary artery disease, cardiovascular mortality, all-cause mortality, heart failure, low body mass index, obesity, cardiometabolic risk factors, inflammatory markers, darapladib, secondary prevention, atherosclerotic plaque stabilization, NT-proBNP, growth differentiation factor 15, high-density lipoprotein, smoking, diabetes mellitus
MeSH terms
Aged, Coronary Disease, Female, Humans, Male, Middle Aged, Peptide Fragments, Prognosis, Prospective Studies, Risk Factors, Biomarkers, Body Mass Index, Natriuretic Peptide, Brain

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review