Prognostic value of plasma MR-proADM vs NT-proBNP for heart failure in people with type 2 diabetes: the SURDIAGENE prospective study
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Aims/hypothesis N-terminal pro-B-type natriuretic peptide (NT-proBNP) is the gold standard prognostic biomarker for diagnosis and occurrence of heart failure. Here, we compared its prognostic value for the occurrence of congestive heart failure with that of plasma mid-region pro-adrenomedullin (MR-proADM), a surrogate for adrenomedullin, a vasoactive peptide with vasodilator and natriuretic properties, in people with type 2 diabetes.Methods Plasma MR-proADM concentration was measured in baseline samples of a hospital-based cohort of consecutively recruited participants with type 2 diabetes. Our primary endpoint was heart failure requiring hospitalisation.Results We included 1438 participants (age 65 ± 11 years; 604 women and 834 men). Hospitalisation for heart failure occurred during follow-up (median 64 months) in 206 participants; the incidence rate of heart failure was 2.5 (95% CI 2.2, 2.9) per 100 person-years. Plasma concentrations of MR-proADM and NT-proBNP were significantly associated with heart failure in a Cox multivariable analysis model when adjusted for age, diabetes duration, history of coronary heart disease, proteinuria and baseline eGFR (adj HR [95%CI] 1.83 [1.51, 2.21] and 2.20 [1.86, 2.61], respectively, per 1 SD log 10 increment, both p < 0.001). MR-proADM contributed significant supplementary information to the prognosis of heart failure when we considered the clinical risk factors (integrated discrimination improvement [IDI, mean ± SEM] 0.021 ± 0.007, p = 0.001) (Table 3). Inclusion of NT-proBNP in the multivariable model including MR-proADM contributed significant complementary information on prediction of heart failure (IDI [mean ± SEM] 0.028 ± 0.008, p < 0.001). By contrast, MR-proADM did not contribute supplementary information on prediction of heart failure in a model including NT-proBNP (IDI [mean ± SEM] 0.003 ± 0.003, p = 0.27), with similar results for heart failure with reduced ejection fraction and preserved ejection fraction.Conclusions/interpretation MR-proADM is a prognostic biomarker for heart failure in people with type 2 diabetes but gives no significant complementary information on prediction of heart failure compared with NT-proBNP.
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External validation used adjudication data from the SURDIAGENE cohort, comprising 88 hospital reports (28 positive controls and 60 negative controls).
“For external validation, we used adjudication data from the SUR DIAGENE cohort, comprising a total of 88 hospital reports, with 28 as positive controls and 60 as negative controls [19,20].”
From Assessing large language models for acute heart failure classification and information extraction from French clinical notes (2025) · cites this paper as [19]
The Methods and Outcome sections identify the SURDIAGENE cohort and say that hospitalisation endpoints were adjudicated. They do not describe the citing study’s external validation or substantiate its sample of 88 hospital reports, including 28 positive and 60 negative controls (searched those numbers and terms). (LLM, conf=0.84)
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Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603 · see citing works
Lang, R., Badano, L., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., Flachskampf, F., Foster, E., Goldstein, S., Kuznetsova, T., et al. (2015) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.10.003 · Cited by 10,093 · see citing works
ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012
Authors/Task Force Members, McMurray, J. J. V., Adamopoulos, S., Anker, S. D., Auricchio, A., Böhm, M., Dickstein, K., Falk, V., Filippatos, G., Fonseca, C., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs104 · Cited by 6,879 · see citing works
ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012
Authors/Task Force Members, McMurray, J. J. V., Adamopoulos, S., Anker, S. D., Auricchio, A., Böhm, M., Dickstein, K., Falk, V., Filippatos, G., Fonseca, C., et al. (2012) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfs105 · Cited by 2,644 · see citing works
Adams, K. F., Fonarow, G. C., Emerman, C. L., LeJemtel, T. H., Costanzo, M. R., Abraham, W. T., Berkowitz, R. L., Galvao, M., & Horton, D. P. (2005) · American Heart Journal · doi:10.1016/j.ahj.2004.08.005 · Cited by 2,111 · see citing works
Aliskiren, ALTITUDE, and the Implications for ATMOSPHERE
McMurray, J. J. V., Abraham, W. T., Dickstein, K., Køber, L., Massie, B. M., & Krum, H. (2012) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfs033 · Cited by 1,092 · see citing works
Ledwidge, M., Gallagher, J., Conlon, C., Tallon, E., O’Connell, E., Dawkins, I., Watson, C., O’Hanlon, R., Bermingham, M., Patle, A., et al. (2013) · JAMA · doi:10.1001/jama.2013.7588 · Cited by 664 · see citing works
Distribution and characterization of immunoreactive adrenomedullin in human tissue and plasma
Ichiki, Y., Kitamura, K., Kangawa, K., Kawamoto, M., Matsuo, H., & Eto, T. (1994) · FEBS Letters · doi:10.1016/0014-5793(94)80106-1 · Cited by 576 · see citing works
Endothelial Cells Actively Synthesize and Secrete Adrenomedullin
Sugo, S., Minamino, N., Kangawa, K., Miyamoto, K., Kitamura, K., Sakata, J., Eto, T., & Matsuo, H. (1994) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1994.1827 · Cited by 574 · see citing works
Novel and Conventional Biomarkers for Prediction of Incident Cardiovascular Events in the Community
Melander, O. (2009) · JAMA · doi:10.1001/jama.2009.943 · Cited by 552 · see citing works
Hayes, A. J., Leal, J., Gray, A. M., Holman, R. R., & Clarke, P. M. (2013) · Diabetologia · doi:10.1007/s00125-013-2940-y · Cited by 495 · see citing works
Bell, D. S. H. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2433 · Cited by 401 · see citing works
Measurement of midregional proadrenomedullin in plasma with an immunoluminometric assay
Morgenthaler, N. G., Struck, J., Alonso, C., & Bergmann, A. (2005) · Clinical Chemistry · doi:10.1373/clinchem.2005.051110 · Cited by 399 · see citing works
Sugo, S., Minamino, N., Shoji, H., Kangawa, K., Kitamura, K., Eto, T., & Matsuo, H. (1994) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1994.2241 · Cited by 372 · see citing works
Zannad, F. M., Briançon, S., Juillière, Y., Mertès, P., Villemot, J., Alla, F., & Virion, J. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(98)00634-2 · Cited by 293 · see citing works
Bonneux, L. G. A., Barendregt, J. J., Meeter, K., Bonsel, G. J., & van der Maas, P. J. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.1.20 · Cited by 273 · see citing works
Novel biomarkers for cardiovascular risk prediction.
Wang, J., Tan, G.-J., Han, L.-N., Bai, Y., He, M., & Liu, H. (2017) · Europe PMC (PubMed Central) · doi:10.11909/j.issn.1671-5411.2017.02.008 · Cited by 267 · see citing works
de Boer, R. A., Nayor, M. G., deFilippi, C. R., Enserro, D. M., Bhambhani, V., Kizer, J. R., Blaha, M. J., Brouwers, F. P. J., Cushman, M., Lima, J. A. C., et al. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2017.4987 · Cited by 264 · see citing works
Cormier, S. A., Nguyen, S. V., & Claycomb, W. C. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.28.17787 · Cited by 230 · see citing works
Potent and Long-Lasting Vasodilatory Effects of Adrenomedullin in Humans
Nakamura, M., Yoshida, H., Makita, S., Arakawa, N., Niinuma, H., & Hiramori, K. (1997) · Circulation · doi:10.1161/01.cir.95.5.1214 · Cited by 183 · see citing works
Adrenomedullin and PAMP: Discovery, structures, and cardiovascular functions
Kitamura, K., Kangawa, K., & Eto, T. (2002) · Microscopy Research and Technique · doi:10.1002/jemt.10052 · Cited by 129 · see citing works
Packer, M. (2017) · Diabetes Care · doi:10.2337/dci17-0052 · Cited by 106 · see citing works
Direct cardiac and vascular actions of adrenomedullin in conscious sheep
Parkes, D. G., & May, C. N. (1997) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0701034 · Cited by 91 · see citing works
Brouwers, F. P. J., van Gilst, W. H., Damman, K., van den Berg, M. P., Gansevoort, R. T., Bakker, S. J. L., Hillege, H. L., van Veldhuisen, D. J., van der Harst, P., & de Boer, R. A. (2014) · Circulation Heart Failure · doi:10.1161/circheartfailure.114.001185 · Cited by 88 · see citing works
Klip, I. T., Voors, A. A., Anker, S. D., Hillege, H. L., Struck, J., Squire, I. B., van Veldhuisen, D. J., Dickstein, K., & for the OPTIMAAL investigators (2011) · Heart · doi:10.1136/hrt.2010.210948 · Cited by 86 · see citing works
Adlbrecht, C., Hülsmann, M., Strunk, G., et al. (2009) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfp004 · Cited by 85 · see citing works
Prognostic Value of the Insertion/Deletion Polymorphism of the ACE Gene in Type 2 Diabetic Subjects
Hadjadj, S., Fumeron, F., Roussel, R., Saulnier, P., Gallois, Y., Ankotché, A., Travert, F., Khalil, C. A., Miot, A., Alhenc‐Gelas, F., et al. (2008) · Diabetes Care · doi:10.2337/dc07-2079 · Cited by 75 · see citing works
Self-citationRegulation of adrenomedullin expression and release
Minamino, N., Kikumoto, K., & Isumi, Y. (2002) · Microscopy Research and Technique · doi:10.1002/jemt.10048 · Cited by 71 · see citing works
Carrasco-Sánchez, F. J., Gómez-Huelgas, R., Formiga, F., Martel, A. C., Trullàs, J. C., Bettencourt, P., Arévalo‐Lorido, J. C., & Montero-Pérez-Barquero, M. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.03.015 · Cited by 63 · see citing works
Cardioprotective Effect of Adrenomedullin in Heart Failure
Nishikimi, T., Yoshihara, F., Mori, Y., Kangawa, K., & Matsuoka, H. (2003) · Hypertension Research · doi:10.1291/hypres.26.s121 · Cited by 60 · see citing works
Dhillon, O. S., Khan, S. Q., Narayan, H., Ng, K., Struck, J., Quinn, P. A., Morgenthaler, N. G., Squire, I. B., Davies, J. E., Bergmann, A., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.01.060 · Cited by 54 · see citing works
Nagaya, N., Goto, Y., Satoh, T., et al. (2002) · Journal of Cardiovascular Pharmacology · doi:10.1097/00005344-200205000-00017 · Cited by 53 · see citing works
Nishida, H., Horio, T., Suzuki, Y., Iwashima, Y., Kamide, K., Kangawa, K., & Kawano, Y. (2007) · Peptides · doi:10.1016/j.peptides.2007.12.006 · Cited by 51 · see citing works
Wild, P. S., Schnabel, R. B., Lubos, E., et al. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.157842 · Cited by 45 · see citing works
Endothelial Markers May Link Kidney Function to Cardiovascular Events in Type 2 Diabetes
Maier, C., Clodi, M., Neuhold, S., et al. (2009) · Diabetes Care · doi:10.2337/dc08-2168 · Cited by 42 · see citing works
ANGPTL2 is associated with an increased risk of cardiovascular events and death in diabetic patients
Gellen, B., Thorin‐Trescases, N., Sosner, P., Gand, E., Saulnier, P., Ragot, S., Fraty, M., Laugier, S., Ducrocq, G., Montaigne, D., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-4066-5 · Cited by 36 · see citing works
Self-citationFunke-Kaiser, A., Havulinna, A. S., Zeller, T., et al. (2014) · Annals of Medicine · doi:10.3109/07853890.2013.874662 · Cited by 29 · see citing works
van den Berge, J. C., Constantinescu, A. A., Boiten, H. J., van Domburg, R. T., Deckers, J. W., & Akkerhuis, K. M. (2017) · Diabetes Care · doi:10.2337/dc17-0544 · Cited by 23 · see citing works
Velho, G., Ragot, S., Mohammedi, K., Gand, E., Fraty, M., Fumeron, F., Saulnier, P., Bellili-Muñoz, N., Bouby, N., Potier, L., et al. (2015) · Diabetes · doi:10.2337/db14-1852 · Cited by 20 · see citing works
Self-citationBahrmann, P., Christ, M., Hofner, B., Bahrmann, A., Achenbach, S., Sieber, C. C., & Bertsch, T. (2015) · European Heart Journal Acute Cardiovascular Care · doi:10.1177/2048872615612455 · Cited by 19 · see citing works
Holmager, P., Schou, M., Egstrup, M., Gustafsson, I., Goetze, J. P., Gustafsson, F., Klausen, T. W., Faber, J. O., & Kistorp, C. (2014) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2014.12.007 · Cited by 6 · see citing works
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Seferović, P., Farmakis, D., Bayes-Genis, A., Ben Gal, T., Böhm, M., Chioncel, O., Ferrari, R., Filippatos, G., Hill, L., Jankowska, E., et al. (2022) · European Journal of Heart Failure · doi:10.1002/ejhf.2575 · Cited by 24 · see citing works
Bazoge, A., Wargny, M., Constant dit Beaufils, P., Morin, E., Daille, B., Gourraud, P.-A., & Hadjadj, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110609 · Cited by 6 · see citing works
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- Authors
- for the SURDIAGENE Study Group, Fraty, M., Velho, G., Gand, E., Fumeron, F., Ragot, S., Sosner, P., Mohammedi, K., Gellen, B., Saulnier, P.-J., Halimi, J.-M., Montaigne, D., Ducrocq, G., Rehman, M., Marre, M., Roussel, R., & Hadjadj, S.
- Affiliations
- Centre Hospitalier Universitaire de Poitiers (FR)
- Inserm (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Sorbonne Paris Cité (FR)
- Corresponding author
- Fraty, Mathilde
- Hadjadj, Samy
- ORCID
- Venue
- Diabetologia
- Published
- 2018-09-19
- Volume
- 61
- Issue
- 12
- Pages
- 2643-2653
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2891162798
- Cited by
- 22
- References
- 44
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 3
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Rheumatology › GDF15 and Related Biomarkers
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
- Keywords
- mid-regional pro-adrenomedullin, NT-proBNP, heart failure, type 2 diabetes, prognostic factors, heart failure hospitalization, heart failure with reduced ejection fraction, heart failure with preserved ejection fraction, adrenomedullin, natriuretic peptides, integrated discrimination improvement, cardiovascular risk prediction, diabetes duration, proteinuria, EGFR
- MeSH terms
- Aged, Diabetes Mellitus, Type 2, Female, Heart Failure, Humans, Male, Middle Aged, Neuropeptides, Peptide Fragments, Prognosis, Prospective Studies, Biomarkers, Natriuretic Peptide, Brain, Adrenomedullin
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