Jelena P Seferovic1, Marc A Pfeffer2, Brian Claggett1, Akshay S Desai1, Dick de Zeeuw3, Steven M Haffner4,5, John J V McMurray6, Hans-Henrik Parving7,8,9, Scott D Solomon1, Nish Chaturvedi10. 1. Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. 2. Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. mpfeffer@rics.bwh.harvard.edu. 3. Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. 4. , Shavano Park, TX, USA. 5. Department of Medicine and Clinical Epidemiology, University of Texas Health Science Center, San Antonio, TX, USA. 6. BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, UK. 7. Department of Medical Endocrinology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. 8. Faculty of Health Science, Aarhus University, Aarhus, Denmark. 9. Steno Diabetes Center, Gentofte, Denmark. 10. Institute of Cardiovascular Science, University College London, London, UK.
Abstract
AIMS/HYPOTHESIS: The self-administered Michigan Neuropathy Screening Instrument (MNSI) is used to diagnose diabetic peripheral neuropathy. We examined whether the MNSI might also provide information on risk of death and cardiovascular outcomes. METHODS: In this post hoc analysis of the Aliskiren Trial in Type 2 Diabetes Using Cardio-Renal Endpoints (ALTITUDE) trial, we divided 8463 participants with type 2 diabetes and chronic kidney disease (CKD) and/or cardiovascular disease (CVD) into independent training (n = 3252) and validation (n = 5211) sets. In the training set, we identified specific questions that were independently associated with a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, non-fatal myocardial infarction/stroke, heart failure hospitalisation). We then evaluated the performance of these questions in the validation set. RESULTS: In the training set, three questions ('Are your legs numb?', 'Have you ever had an open sore on your foot?' and 'Do your legs hurt when you walk?') were significantly associated with the cardiovascular composite outcome. In the validation set, after multivariable adjustment for key covariates, one or more positive responses (n = 3079, 59.1%) was associated with a higher risk of the cardiovascular composite outcome (HR 1.54 [95% CI 1.28, 1.85], p < 0.001), heart failure hospitalisation (HR 1.74 [95% CI 1.29, 2.35], p < 0.001), myocardial infarction (HR 1.81 [95% CI 1.23, 2.69], p = 0.003), stroke (HR 1.75 [95% CI 1.20, 2.56], p = 0.003) and three-point major adverse cardiovascular events (MACE) (cardiovascular death, non-fatal myocardial infarction, non-fatal stroke) (HR 1.49 [95% CI 1.20, 1.85], p < 0.001) relative to no positive responses to all questions. Associations were stronger if participants answered positively to all three questions (n = 552, 11%). The addition of the total number of affirmative responses to existing models significantly improved Harrell's C statistic for the cardiovascular composite outcome (0.70 vs 0.71, p = 0.010), continuous net reclassification improvement (+22% [+10%, +31%], p = 0.027) and integrated discrimination improvement (+0.9% [+0.4%, +2.1%], p = 0.007). CONCLUSIONS/ INTERPRETATION: We identified three questions from the MNSI that provide additional prognostic information for individuals with type 2 diabetes and CKD and/or CVD. If externally validated, these questions may be integrated into the clinical history to augment prediction of CV events in high-risk individuals with type 2 diabetes.
RCT Entities:
AIMS/HYPOTHESIS: The self-administered Michigan Neuropathy Screening Instrument (MNSI) is used to diagnose diabetic peripheral neuropathy. We examined whether the MNSI might also provide information on risk of death and cardiovascular outcomes. METHODS: In this post hoc analysis of the Aliskiren Trial in Type 2 Diabetes Using Cardio-Renal Endpoints (ALTITUDE) trial, we divided 8463 participants with type 2 diabetes and chronic kidney disease (CKD) and/or cardiovascular disease (CVD) into independent training (n = 3252) and validation (n = 5211) sets. In the training set, we identified specific questions that were independently associated with a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, non-fatal myocardial infarction/stroke, heart failure hospitalisation). We then evaluated the performance of these questions in the validation set. RESULTS: In the training set, three questions ('Are your legs numb?', 'Have you ever had an open sore on your foot?' and 'Do your legs hurt when you walk?') were significantly associated with the cardiovascular composite outcome. In the validation set, after multivariable adjustment for key covariates, one or more positive responses (n = 3079, 59.1%) was associated with a higher risk of the cardiovascular composite outcome (HR 1.54 [95% CI 1.28, 1.85], p < 0.001), heart failure hospitalisation (HR 1.74 [95% CI 1.29, 2.35], p < 0.001), myocardial infarction (HR 1.81 [95% CI 1.23, 2.69], p = 0.003), stroke (HR 1.75 [95% CI 1.20, 2.56], p = 0.003) and three-point major adverse cardiovascular events (MACE) (cardiovascular death, non-fatal myocardial infarction, non-fatal stroke) (HR 1.49 [95% CI 1.20, 1.85], p < 0.001) relative to no positive responses to all questions. Associations were stronger if participants answered positively to all three questions (n = 552, 11%). The addition of the total number of affirmative responses to existing models significantly improved Harrell's C statistic for the cardiovascular composite outcome (0.70 vs 0.71, p = 0.010), continuous net reclassification improvement (+22% [+10%, +31%], p = 0.027) and integrated discrimination improvement (+0.9% [+0.4%, +2.1%], p = 0.007). CONCLUSIONS/ INTERPRETATION: We identified three questions from the MNSI that provide additional prognostic information for individuals with type 2 diabetes and CKD and/or CVD. If externally validated, these questions may be integrated into the clinical history to augment prediction of CV events in high-risk individuals with type 2 diabetes.
Authors: Karel G M Moons; Andre Pascal Kengne; Diederick E Grobbee; Patrick Royston; Yvonne Vergouwe; Douglas G Altman; Mark Woodward Journal: Heart Date: 2012-03-07 Impact factor: 5.994
Authors: Pardeep S Jhund; John J V McMurray; Nish Chaturvedi; Patrick Brunel; Akshay S Desai; Peter V Finn; Steven M Haffner; Scott D Solomon; Larry A Weinrauch; Brian L Claggett; Marc A Pfeffer Journal: Eur Heart J Date: 2015-07-18 Impact factor: 29.983
Authors: Solomon Tesfaye; Nish Chaturvedi; Simon E M Eaton; John D Ward; Christos Manes; Constantin Ionescu-Tirgoviste; Daniel R Witte; John H Fuller Journal: N Engl J Med Date: 2005-01-27 Impact factor: 91.245
Authors: Nicholas Witt; Tien Y Wong; Alun D Hughes; Nish Chaturvedi; Barbara E Klein; Richard Evans; Mary McNamara; Simon A McG Thom; Ronald Klein Journal: Hypertension Date: 2006-04-03 Impact factor: 10.190
Authors: Hans-Henrik Parving; Barry M Brenner; John J V McMurray; Dick de Zeeuw; Steven M Haffner; Scott D Solomon; Nish Chaturvedi; Mathieu Ghadanfar; Nicole Weissbach; Zhihua Xiang; Juergen Armbrecht; Marc A Pfeffer Journal: Nephrol Dial Transplant Date: 2009-01-14 Impact factor: 5.992
Authors: Rodica Pop-Busui; Gregory W Evans; Hertzel C Gerstein; Vivian Fonseca; Jerome L Fleg; Byron J Hoogwerf; Saul Genuth; Richard H Grimm; Marshall A Corson; Ronald Prineas Journal: Diabetes Care Date: 2010-03-09 Impact factor: 19.112
Authors: Meaghan Lunney; Marinella Ruospo; Patrizia Natale; Robert R Quinn; Paul E Ronksley; Ioannis Konstantinidis; Suetonia C Palmer; Marcello Tonelli; Giovanni Fm Strippoli; Pietro Ravani Journal: Cochrane Database Syst Rev Date: 2020-02-27
Authors: Marcus V B Malachias; Pardeep S Jhund; Brian L Claggett; Magnus O Wijkman; Rhonda Bentley-Lewis; Nishi Chaturvedi; Akshay S Desai; Steven M Haffner; Hans-Henrik Parving; Margaret F Prescott; Scott D Solomon; Dick De Zeeuw; John J V McMurray; Marc A Pfeffer Journal: J Am Heart Assoc Date: 2020-09-23 Impact factor: 5.501
Authors: Orsolya E Vági; Márk M Svébis; Beatrix A Domján; Anna E Körei; Ildikó Istenes; Zsuzsanna Putz; Szilvia Mészáros; Noémi Hajdú; Magdolna Békeffy; Solomon Tesfaye; Péter Kempler; Viktor J Horváth; Adam G Tabák Journal: J Diabetes Res Date: 2021-05-28 Impact factor: 4.011