Barbara E K Klein1, Ronald Klein, Chelsea E Myers, Kristine E Lee. 1. Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 N Walnut Street, Madison, WI 53726-2336, USA. kleinb@epi.ophth.wisc.edu
Abstract
OBJECTIVE: To examine the cross-sectional associations of components of the complete blood cell count with retinal vessel diameters. METHODS: The data are from the baseline examination of the Beaver Dam Eye Study cohort (n = 4730) from March 1, 1988, to September 14, 1990. Blood pressure was measured, a medical history including questions on cigarette smoking was obtained, and fundus photographs centered on the optic disc were taken and digitized. Retinal arteriole and venule diameters were measured using computer-assisted software. The central retinal arteriole equivalent and central retinal venule equivalent were computed. A complete blood cell count was done. RESULTS: In age- and sex-adjusted analyses, red blood cell count, hemoglobin level, hematocrit, and white blood cell count were all statistically significantly associated with central retinal venule equivalent and central retinal arteriole equivalent, while platelet count was associated only with central retinal venule equivalent. These relationships persisted in more fully adjusted models, except platelet count became statistically significantly associated with both central retinal arteriole equivalent and central retinal venule equivalent. CONCLUSIONS: Blood components as measured in a complete blood cell count are significant correlates of retinal vessel diameters and should be considered in analyses where retinal blood vessel diameters are outcomes.
OBJECTIVE: To examine the cross-sectional associations of components of the complete blood cell count with retinal vessel diameters. METHODS: The data are from the baseline examination of the Beaver Dam Eye Study cohort (n = 4730) from March 1, 1988, to September 14, 1990. Blood pressure was measured, a medical history including questions on cigarette smoking was obtained, and fundus photographs centered on the optic disc were taken and digitized. Retinal arteriole and venule diameters were measured using computer-assisted software. The central retinal arteriole equivalent and central retinal venule equivalent were computed. A complete blood cell count was done. RESULTS: In age- and sex-adjusted analyses, red blood cell count, hemoglobin level, hematocrit, and white blood cell count were all statistically significantly associated with central retinal venule equivalent and central retinal arteriole equivalent, while platelet count was associated only with central retinal venule equivalent. These relationships persisted in more fully adjusted models, except platelet count became statistically significantly associated with both central retinal arteriole equivalent and central retinal venule equivalent. CONCLUSIONS: Blood components as measured in a complete blood cell count are significant correlates of retinal vessel diameters and should be considered in analyses where retinal blood vessel diameters are outcomes.
Authors: Gerald Liew; A Richey Sharrett; Richard Kronmal; Ronald Klein; Tien Yin Wong; Paul Mitchell; Annette Kifley; Jie Jin Wang Journal: Invest Ophthalmol Vis Sci Date: 2007-01 Impact factor: 4.799
Authors: Peter Kristian Kofoed; Birgit Sander; Gustavo Zubieta-Calleja; Line Kessel; Michael Larsen Journal: Invest Ophthalmol Vis Sci Date: 2009-04-01 Impact factor: 4.799
Authors: Frank Jan de Jong; Meike W Vernooij; M Kamran Ikram; M Arfan Ikram; Albert Hofman; Gabriel P Krestin; Aad van der Lugt; Paulus T V M de Jong; Monique M B Breteler Journal: Ophthalmology Date: 2007-12-11 Impact factor: 12.079
Authors: Kerri P Howard; Barbara E K Klein; Jennifer O Dreyer; Lorraine G Danforth; Ronald Klein Journal: JAMA Ophthalmol Date: 2014-01 Impact factor: 7.389
Authors: Chelsea E Myers; Ronald Klein; Michael D Knudtson; Kristine E Lee; Ronald Gangnon; Tien Y Wong; Barbara E K Klein Journal: Ophthalmology Date: 2012-08-20 Impact factor: 12.079
Authors: Sam Kushner-Lenhoff; Yuandong Li; Qinqin Zhang; Ruikang K Wang; Xuejuan Jiang; Amir H Kashani Journal: Invest Ophthalmol Vis Sci Date: 2022-02-01 Impact factor: 4.799