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NMR-based prediction of cardiovascular risk in diabetes

Nature Medicine volume 13, pages 399–400 (2007)Cite this article

To the editor:

It has been proposed that nuclear magnetic resonance (NMR) plasma analysis can improve lipoprotein subclass discrimination and predict coronary artery disease (CAD)1. In the recent paper by Kirschenlohr et al.2, it was concluded that proton NMR spectroscopy shows only weak discrimination for detecting angiography-defined CAD. An even more important question is whether proton NMR spectroscopy is able to predict cardiovascular events. Indeed, the mortality and morbidity for CAD in type 2 diabetes patients is two to four times higher than in nondiabetic subjects3, making cardiovascular disease the first cause of death and disability amongst this population. Moreover, CAD is often undetected in diabetic patients. The traditional risk factors do not fully explain the level of the cardiovascular risk in these patients, and new tools are being developed to better identify high-risk patients, who need invasive coronary evaluation and/or aggressive treatments. Indeed, the strategy must have a high degree of accuracy for detecting CAD, owing to the potential morbidity associated with angiographic procedures.

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Authors and Affiliations

  1. Institut National de la Santé et de la Recherche Médicale, U695, Paris, 75018, France

    Ronan Roussel & Michel Marre

  2. Université Paris 7-Denis Diderot, Unité de Formation et de Recherche de Médecine Xavier-Bichat, Paris, 75018, France

    Ronan Roussel & Michel Marre

  3. Département d'Endocrinologie, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Diabétologie et Nutrition, Paris, 75018, France

    Ronan Roussel & Michel Marre

  4. Institut National de la Santé et de la Recherche Médicale, U738, Paris, 75018, France

    France Mentré, Xavière Panhard & Anne Le Hénanff

  5. Département d'Epidémiologie, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Biostatistique et Recherche Clinique, Paris, 75018, France

    France Mentré, Xavière Panhard & Anne Le Hénanff

  6. Unité Mixte de Recherche-Centre National de la Recherche Scientifique 7033, Université Paris 13 and Université Paris 6, Bobigny, 93000, France

    Nadia Bouchemal & Laurence Le Moyec

  7. Centre Hospitalo-Universitaire Poitiers, University Hospital, Endocrinology, Poitiers, 86021, France

    Samy Hadjadj

  8. Institut National de la Santé et de la Recherche Médicale, Equipe de Recherche Mixte 324, Poitiers, 86021, France

    Samy Hadjadj

  9. Université Claude Bernard Lyon 1, Faculté de Médecine Laënnec, Lyon, 69000, France

    Michel Lièvre

  10. Department of Biostatistics, Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, Paris, 75015, France

    Gilles Chatellier & Joël Menard

Authors
  1. Ronan Roussel
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  2. France Mentré
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  3. Nadia Bouchemal
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  8. Xavière Panhard
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  9. Anne Le Hénanff
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  10. Michel Marre
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  11. Laurence Le Moyec
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The authors declare no competing financial interests.

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Roussel, R., Mentré, F., Bouchemal, N. et al. NMR-based prediction of cardiovascular risk in diabetes. Nat Med 13, 399–400 (2007). https://doi.org/10.1038/nm0407-399

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