Pulse Pressure is a Stronger Predictor Than Systolic Blood Pressure for Severe Eye Diseases in Diabetes Mellitus.


Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
16 04 2019
Historique:
entrez: 12 4 2019
pubmed: 12 4 2019
medline: 24 7 2020
Statut: ppublish

Résumé

Background Evidence of the role of systolic blood pressure ( SBP ) in development of severe diabetic retinopathy is not strong, although the adverse effect of low diastolic blood pressure has been a partial explanation. We assessed the predictive ability of incident severe diabetic retinopathy between pulse pressure ( PP ) which considers both SBP and diastolic blood pressure, compared with SBP . Methods and Results Eligible patients (12 242, 83% men) aged 19 to 72 years from a nationwide claims database were analyzed for a median observational 4.8-year period. Severe diabetic retinopathy was defined as vision-threatening treatment-required diabetic eye diseases. Multivariate Cox regression analysis revealed that hazard ratios (95% CI ) of treatment-required diabetic eye diseases for 1 increment of standard deviation and the top tertile compared with the bottom tertile were 1.39 (1.21-1.60) and 1.72 (1.17-2.51), respectively, for PP and 1.22 (1.05-1.41) and 1.43 (0.97-2.11), respectively, for SBP adjusted for age, sex, body mass index, hemoglobin A1c, fasting plasma glucose, lipids, and smoking status. In a model with SBP and PP simultaneously as covariates, the hazard ratios of only PP (hazard ratios [95% CI ], 1.57 [1.26-1.96]) but not SBP (0.85 [0.68-1.07]) were statistically significant. Delong test revealed a significant difference in the area under the receiver operating characteristic curve between PP and SBP (area under the receiver operating characteristic curve [95% CI ], 0.58 [0.54-0.63] versus 0.54 [0.50-0.59]; P=0.03). The strongest predictor remained as hemoglobin A1c (area under the receiver operating characteristic curve [95% CI ], 0.80 [0.77-0.84]). Conclusions After excluding the significant impact of glycemic control, PP in comparison with SBP is a better predictor of severe diabetic retinopathy, suggesting a role of diastolic blood pressure and arterial stiffness in pathology.

Identifiants

pubmed: 30971163
doi: 10.1161/JAHA.118.010627
pmc: PMC6507184
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0
Hypoglycemic Agents 0
hemoglobin A1c protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e010627

Commentaires et corrections

Type : CommentIn

Références

J Am Heart Assoc. 2019 Apr 16;8(8):e010627
pubmed: 30971163
Ophthalmology. 2006 Oct;113(10):1695.e1-15
pubmed: 17011951
Hypertens Res. 2014 Apr;37(4):253-390
pubmed: 24705419
Cardiovasc Diabetol. 2013 Aug 27;12:122
pubmed: 23978271
Cardiol Res Pract. 2011;2011:263585
pubmed: 21845218
Diabetes Care. 1987 Jan-Feb;10(1):20-5
pubmed: 3568963
Retina. 2006 Jul-Aug;26(6):699-700
pubmed: 16829817
Am J Hypertens. 2002 Mar;15(3):244-50
pubmed: 11939615
Diabetes Ther. 2018 Oct;9(5):2015-2027
pubmed: 30171589
BMC Cardiovasc Disord. 2014 Feb 20;14:23
pubmed: 24555866
Geriatr Gerontol Int. 2012 Apr;12 Suppl 1:134-40
pubmed: 22435949
Diabetes Metab. 2017 Jun;43(3):261-264
pubmed: 27712966
J Epidemiol. 2010;20(5):413-9
pubmed: 20699602
BMJ. 2010 Jun 23;340:c2289
pubmed: 20573762
Diabetologia. 2001 Feb;44(2):156-63
pubmed: 11270671
Diabetes Res Clin Pract. 2005 May;68(2):162-6
pubmed: 15860245
Acta Ophthalmol. 2013 Dec;91(8):716-21
pubmed: 22994366
Biometrics. 1988 Sep;44(3):837-45
pubmed: 3203132
Diabetologia. 2011 Aug;54(8):1977-84
pubmed: 21638132

Auteurs

Masahiko Yamamoto (M)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Kazuya Fujihara (K)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Masahiro Ishizawa (M)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Taeko Osawa (T)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Masanori Kaneko (M)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Hajime Ishiguro (H)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Yasuhiro Matsubayashi (Y)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Hiroyasu Seida (H)

2 Japan Medical Data Center Co., Ltd. Tokyo Japan.

Nauta Yamanaka (N)

2 Japan Medical Data Center Co., Ltd. Tokyo Japan.

Shiro Tanaka (S)

3 Department of Clinical Biostatistics Graduate School of Medicine Kyoto University Kyoto Japan.

Satoru Kodama (S)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

Hiruma Hasebe (H)

4 Department of Ophthalmology Niigata University Faculty of Medicine Niigata Japan.

Hirohito Sone (H)

1 Department of Hematology, Endocrinology and Metabolism Niigata University Faculty of Medicine Niigata Japan.

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Classifications MeSH