The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Diabetes Mellitus–Related All‐Cause and Cardiovascular Mortality in a National Cohort of Adults
Open accessAbstract
Background: Diabetes mellitus is a risk factor for cardiovascular disease ( CVD ) and has been associated with 2‐ to 4‐fold higher mortality. Diabetes mellitus–related mortality has not been reassessed in individuals receiving routine care in the United States in the contemporary era of CVD risk reduction. Methods and Results: We retrospectively studied 963 648 adults receiving care in the US Veterans Affairs Healthcare System from 2002 to 2014; mean follow‐up was 8 years. We estimated associations of diabetes mellitus status and hemoglobin A1c (HbA1c) with all‐cause and CVD mortality using covariate‐adjusted incidence rates and multivariable Cox proportional hazards regression. Of participants, 34% had diabetes mellitus. Compared with nondiabetic individuals, patients with diabetes mellitus had 7.0 (95% CI , 6.7–7.4) and 3.5 (95% CI, 3.3–3.7) deaths/1000‐person‐years higher all‐cause and CVD mortality, respectively. The age‐, sex‐, race‐, and ethnicity‐adjusted hazard ratio for diabetes mellitus–related mortality was 1.29 (95% CI, 1.28–1.31), and declined with adjustment for CVD risk factors (hazard ratio, 1.18 [95% CI, 1.16–1.19]) and glycemia (hazard ratio, 1.03 [95% CI, 1.02–1.05]). Among individuals with diabetes mellitus, CVD mortality increased as HbA1c exceeded 7% (hazard ratios, 1.11 [95% CI, 1.08–1.14], 1.25 [95% CI, 1.22–1.29], and 1.52 [95% CI, 1.48–1.56] for HbA1c 7%–7.9%, 8%–8.9%, and ≥9%, respectively, relative to HbA1c 6%–6.9%). HbA1c 6% to 6.9% was associated with the lowest mortality risk irrespective of CVD history or age. Conclusions: Diabetes mellitus remains significantly associated with all‐cause and CVD mortality, although diabetes mellitus–related excess mortality is lower in the contemporary era than previously. We observed a gradient of mortality risk with increasing HbA1c >6% to 6.9%, suggesting HbA1c remains an informative predictor of outcomes even if causality cannot be inferred.
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A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290 · cited 1×
“For all Cox proportional hazards models with CVD mortality as the outcome, we used cumulative incidence function methods to account for competing risk from mortality attributable to noncardiovascular causes.(25) To determine if the association between baseline HbA1c and mortality differed over time, we repeated the mu…”
MethodStratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Haffner, S. M., Lehto, S., Rönnemaa, T., Pyörälä, K., & Laakso, M. (1998) · New England Journal of Medicine · doi:10.1056/nejm199807233390404 · Cited by 7,000
Stamler, J., Vaccaro, O., Neaton, J. D., Wentworth, D., & The Multiple Risk Factor Intervention Trial Research Group (1993) · Diabetes Care · doi:10.2337/diacare.16.2.434 · Cited by 4,063
Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death
The Emerging Risk Factors Collaboration (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008862 · Cited by 2,726
Changes in diabetes-related complications in the United States, 1990-2010
Gregg, E. W., Li, Y., Wang, J., Rios Burrows, N., Ali, M. K., Rolka, D., Williams, D. E., & Geiss, L. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1310799 · Cited by 1,749
Achievement of Goals in U.S. Diabetes Care, 1999–2010
Ali, M. K., Bullard, K. M., Saaddine, J. B., Cowie, C. C., Imperatore, G., & Gregg, E. W. (2013) · New England Journal of Medicine · doi:10.1056/nejmsa1213829 · Cited by 979
Khaw, K.-T., Wareham, N., Bingham, S., Luben, R., Welch, A., & Day, N. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-141-6-200409210-00006 · Cited by 974
Survival as a function of HbA1c in people with type 2 diabetes: a retrospective cohort study
Currie, C. J., Peters, J. R., Tynan, A., Evans, M., Heine, R. J., Bracco, O. L., Zagar, T., & Poole, C. D. (2010) · The Lancet · doi:10.1016/s0140-6736(09)61969-3 · Cited by 874
Cited by
Joseph, J. J., Deedwania, P., Acharya, T., Aguilar, D., Bhatt, D. L., Chyun, D. A., Di Palo, K. E., Golden, S. H., Sperling, L. S., & on behalf of the American Heart Association Diabetes Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Arteriosclerosis, T. A. V. B. C. O. C. C. A. C. O. H. (2022) · Circulation · doi:10.1161/cir.0000000000001040 · Cited by 660
Samson, S. L., Vellanki, P., Blonde, L., Christofides, E. A., Galindo, R. J., Hirsch, I. B., Isaacs, S. D., Izuora, K. E., Low Wang, C. C., Twining, C. L., et al. (2023) · Endocrine Practice · doi:10.1016/j.eprac.2023.02.001 · Cited by 375
Banana peels as a bioactive ingredient and its potential application in the food industry
Mohd Zaini, H., Roslan, J., Saallah, S., Munsu, E., Sulaiman, N. S., & Pindi, W. (2022) · Journal of Functional Foods · doi:10.1016/j.jff.2022.105054 · Cited by 259
Weiss, T., Carr, R. D., Pal, S., Yang, L., Sawhney, B., Boggs, R., Rajpathak, S., & Iglay, K. (2020) · Patient Preference and Adherence · doi:10.2147/ppa.s277676 · Cited by 126
Patorno, E., Htoo, P. T., Glynn, R. J., Schneeweiss, S., Wexler, D. J., Pawar, A., Bessette, L. G., Chin, K., Everett, B. M., & Kim, S. C. (2021) · Annals of Internal Medicine · doi:10.7326/m21-0893 · Cited by 103
Metadata
- Authors
- Raghavan, S., Vassy, J. L., Ho, Y., Song, R. J., Gagnon, D. R., Cho, K., Wilson, P. W. F., & Phillips, L. S.
- Venue
- Journal of the American Heart Association
- Published
- 2019-02-19
- Volume
- 8
- Issue
- 4
- Pages
- e011295-e011295
- ISSN
- 2047-9980 (ISSN-L)
- OpenAlex
- W2916269741
- Cited by
- 563
- References
- 18
- FWCI
- 33.38
- Type
- journal article
- Language
- en
- Open access
- gold
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- Raghavan, S., Vassy, J. L., Ho, Y., Song, R. J., Gagnon, D. R., Cho, K., Wilson, P. W. F., & Phillips, L. S. (2019). Diabetes Mellitus–Related All‐Cause and Cardiovascular Mortality in a National Cohort of Adults. Journal of the American Heart Association. https://doi.org/10.1161/jaha.118.011295
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