alexa The Associations of Arcussenilis with Age and Metabolic Abnormalities | OMICS International
ISSN: 2155-6156
Journal of Diabetes & Metabolism

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

The Associations of Arcussenilis with Age and Metabolic Abnormalities

Steven B Leichter1*, Jeff Johnson2, Michael Ammerman2 and Susan Egbert2

1The Southern Diabetes Foundation, Mercer University School of Medicine, Columbus, USA

2Vision Service Plan, Sacramento, USA

*Corresponding Author:
Steven B Leichter
Clinical Professor of Internal Medicine
Mercer University School of Medicine
Columbus, GA, USA
E-mail: [email protected]

Received date: July 05, 2013; Accepted date: September 23, 2013; Published date: September 28, 2013

Citation: Leichter SB, Johnson J, Ammerman M, Egbert S (2013) The Associations of Arcus Senilis with Age and Metabolic Abnormalities. J Diabetes Metab 4:293. doi:10.4172/2155-6156.1000293

Copyright: © 2013 Leichter SB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Diabetes & Metabolism

Abstract

From a voluntary ophthalmic screening program, involving 1876 people, carried out in Columbus, Georgia, 273 (14.6%) were found to have arcussenilis. 973 (51.9%) of the total population screened, were found to have evidence of a high risk of hypertension, hyperglycemia, or hyperlipidemia, and were invited to participate in further assessments. 623 (64.0%) of these high risk subjects, including all of the patients with arcussenilis, agreed to further testing. 70% of the subjects has abnormal BMI, 64% had abnormal blood pressure, and 64% had evidence of abnormal fasting blood sugar, either by elevated fasting blood sugar or Hgb A1c > 6%. A minority had abnormality of LDL cholesterol, HDL cholesterol, or fasting serum triglycerides. Comparisons were then made between the 273 patients who had arcussenilis versus the 350 patients, who did not. Patients, who had arcussenilis has lower BMI values (32.6 ± 0.4 vs. 34.6 ± 0.4 kg/m2, p=0.005) and higher fasting blood sugar (133.6 ± 3.6 vs. 125.7 ± 2.3 mg/ dl, p=0.0488) than those who did not have arcus. By multi-variate analysis, increasing age (p<001), fasting blood sugar (p<0.004), Hgb A1c (p<0.01), systolic (p<0.007) and diastolic (p=0.02) blood pressure, and decreasing BMI (p=0.012) were associated with increasing prevalence of arcussenilis. Fasting LDL cholesterol, HDL cholesterol, LDL/HDL ratios, or serum triglycerides showed no association with the prevalence of arcus. We conclude that hyperglycemia and hypertension, but not hyperlipidemia, are the primary metabolic characteristics associated with the occurrence of arcussenilis, and age appears to have a significant association with the occurrence of arcus. These observations suggest that older individuals, who are found they have arcussenilis, should be screened for evidence of hyperglycemia.

Keywords

Arcus senilis; Hyperlipidemia; Hyperglycemia; Corneal arcus

Introduction

The clinical importance of arcus senilis is unclear. arcus senilis (also termed corneal arcus) is an opaque ring around the outer portion of the cornea which has been associated with increased cardiac risk and hypercholesterolemia [1-4]. However, it has also been associated with diabetes, increasing age, alcoholism, hypertension and cigarette smoking [5]. One large population study disputed significance in the association of corneal arcus with cardiovascular disease, in contrast to xanthelasma and cardiovascular disease [6]. Both arcus and hypercholesterolemia are more prevalent with increasing age, but this is also true for other risks for cardiovascular disease, such as hypertension and hyperglycemia [3,5-8]. Since the prevalence of dyslipidemia, hyperglycemia and hypertension increases with age, there is no data available to assess which of these conditions is more strongly associated with arcus senilis.

As part of an eye care screening program in Columbus, Georgia on 623 subjects, we identified 273 patients, who had arcus senilis. We carried out metabolic assessments for hyperlipidemia, hypertension and hyperglycemia in these subjects, and compared these results to a comparable group of 350 patients, who participated in the program, but who did not have arcus senilis. This provided us with the opportunity to determine which, if any of these conditions were more strongly associated with the presence of arcus senilis versus their prevalence and severity in an otherwise similar population of control subjects.

Methods

This study was carried out between 2007 and 2008. All subjects were voluntary participants in a free ophthalmic screening program in Columbus, Georgia, sponsored by Vision Service Plan (VSP). Every patient in the program signed a consent form, consistent with requirements for participation in a screening program, as defined by regulations in the State of Georgia. As part of the screening, patients received an ophthalmic examination, which included observation of the presence or absence of any degree of arcus senilis. In screening for arcus senilis, patients were assessed for the presence or absence of arcus.

In addition to the ophthalmic examination, patients provided a brief medical history and had measurement of body mass index and blood pressure. The medical history included whether subjects had a known diagnosis of diabetes, hypertension, hyperlipidemia, or a family history of these disorders. Patients, who had a history or family history of one or more of these disorders, or were found to have arcus, or had abnormal body mass index (BMI), or blood pressure were referred to the Columbus Research Foundation for further evaluation.

Those patients, who were referred, had additional laboratory tests obtained at no charge. These tests included: fasting serum glucose; fasting lipid profile; and hemoglobin A1c. All testing was carried out by point-of-service technology, following a 12 hour fast. Fasting blood sugar was measured by the Accu-Chek Aviva, (Roche Diagnostics, 9115 Hague Rd., Indianapolis, IN 46256. Hemoglobin A1c was measured by the A1c Now, (Bayer Healthcare, 510 Oakmead Pkwy, Sunnyvale, CA 94085) Fasting lipid profile was measured by the Cardio Chek P.A, (Polymer Technology Systems (PTS), 7736 Zionsville Rd, Indianapolis, IN, 46268). The results were analyzed by Systat and SAS software. Multivariate analyses were carried out, using SAS Software to correct for the influence of age, among other factors.

Normal values for lipids, blood pressure, and blood sugar were defined by ATP III criteria [9]. Abnormal hemoglobin A1c levels were based on the criteria of the American Diabetes Association for clinically significant abnormality of hemoglobin A1c of 6% or greater [10-12]. Body mass index was calculated by NIH criteria [13]. Abnormal body mass index was defined as >30, according to these criteria.

Results

A total of 1876 people had the initial, complete ophthalmic examination. 659 (35%) were male and 1217 (65%) were female. arcus senilis was observed in 273 (14.6%) of these patients. Of the original group of subjects, 973 (51.9%) were identified as having a risk of metabolic disease by the above criteria or having arcus senilis by examination. 623 (64.0%) of these patients, including all of the patients with arcus senilis, participated in further assessments. There were no significant differences in any of the characteristics studies, including age or sex distribution, between the participants, who elected to complete further evaluations and those, who did not (data not shown). A similar distribution of men and women existed in the group with arcus as the entire study population: 98 of the patients with arcus (36%) were men and 175 (64%) were women (pnsvs the sex distribution for the entire population). In addition, the sex distribution in the group that had corneal arcus was similar to the group of 350 patients, studied in detail, which did not have arcus senilis (36% men vs. 31% men) (p ns).

The population of patients with corneal arcus was distinctly older than the original group of 1876 people, or the comparator group, studied in detail of 350 subjects. Patients found to have arcus senilis had a mean age of 57.95 ± .46 years versus a mean age of 48.1 ± 0.4 years in the original group (p<0.01). The 98 male patients found to have arcus senilis were 39-79 years of age (mean 57.14 ± .95 yrs). The 175 female patients found to have arcus senilis were 26-84 years of age (mean 58.4 ± .83 years) (p ns). Similarly, the patients with corneal arcus were significantly older than the mean age (50.1 ± 0.8 years) of the patients in the comparator group that was studied in detail (p<0.001). This was true for men with corneal arcus (57.14 ± 1.05 years) versus those without (49.2 ± 1.55 years) (p<0.001), and women with corneal arcus (58.4 ± 0.83 years) versus those without (50.5 ± 0.97 years) (p<0.002).

Metabolic abnormalities were common in the entire group of 623 patients who presented to CRF for complete assessment (Table 1). The majority had abnormal BMI, blood pressure, HDL-cholesterol and blood sugar. A large minority also had abnormal hemoglobin A1c levels. However, elevated LDL was found in only 36% and 27% had a serum triglyceride level >150 mg/dl. There was no difference in the prevalence of these findings, when analyzed by gender.

Observation # Males (% of 207)      # Females (% of 416)        Total (% of 623 Ss)
BMI 131 (63%) 304 (73%) 435 (70%)
Blood Pressure 149 (72%) 252 (61%) 401 (64%)
Fasting Blood Sugar 143 (69%) 253 (61%) 396 (64%)
Hemoglobin A1c 86 (42%) 184 (44%) 270 (43%)
LDL-cholesterol 70 (34%) 153 (37%) 223 (36%)
HDL-cholesterol 151 (73%) 296 (71%) 447(72%)
Serum triglycerides 49 (24%) 119 (29%) 168 (27%)

Table 1: Prevalence of Metabolic Abnormalities in the Entire Group of 623 Patients studied in detail.

Comparison of the group of subjects with corneal arcus to those without demonstrated that the comparator group was similar in all respects to the group with arcus senilis, except for age, as noted above. Sex distribution was the same. No difference was observed in the prevalence of obesity, hypertension, abnormal lipid fractions, or hyperglycemia in the patients who had corneal arcus versus those who did not (Table 2). The prevalence of abnormal blood sugar metabolism was assessed both by fasting blood sugar and hemoglobin A1c levels. The lipid fractions studied included LDL-cholesterol, HDL cholesterol, and fasting serum triglycerides.

Observation # Ss with Arcus (%)
N=273
# Ss without Arcus (%)
N=350
BMI 235 (86%) 291 (83%)
Abnormal Blood Pressure 186 (68%) 245 (70%)
Abnormal Fasting Serum Glucose 235 (86%) 291 (83%)
Abnormal Hemoglobin A1c 120 (44%) 151 (43%)
Abnormal LDL-cholesterol 106 (39%) 123 (35%)
Abnormal HDL-cholesterol 142 (52%) 210 (60%)
Abnormal Serum Triglycerides 71 (26%) 98 (28%)

Table 2: Comparison of prevalence of abnormality for patients with arcus versus those without arcus

The levels of each of these characteristics were compared in the sub-group of patients with corneal arcus versus those who did not have corneal arcus (Table 3). As noted above, the patients, who had arcus, were significantly older (p<0.01). They had a significantly higher fasting blood sugar (p=0.0488), although there was no difference in the hemoglobin A1c observed in each group. The patients without arcus had a significantly lower HDL-cholesterol level (p=0.0335) and a significantly greater BMI (p=0.005). There was no difference observed in LDL-cholesterol, blood pressure or serum triglycerides. The ratio between HDL and LDL cholesterol was similar between both groups.

Parameter Ss with Arcus Ss without Arcus T-test p
Age (Yrs) 57.95 ± 0.46 50.1 ± 0.8 5.5938 <0.001
BMI 32.6 ± 0.4 34.6 ± 0.4 3.4818 =0.0005
Systolic BP 135.2 ± 1.1 136.8 ± 1.0 1.0644 =0.2875
Diastolic BP 83.6 ± 0.8 83.5 ± 0.6 0.0810 = 0.9355
Hemoglobin A1c (%) 5.7 ± 0.1 5.6 ± 0.1 0.6964 = 0.4865
Fasting Serum Glucose (mg/dl) 133.6 ± 3.6 125.7 ± 2.3 1.9739 = 0.0488
LDL-cholesterol (mg/dl) 112 ± 2.9 107 ± 2.5 1.1835 = 0.2371
HDL -cholesteol (mg/dl) 41.2 ± 1.1 38.2 ± 0.9 2.1308 = 0.0335
Serum Triglycerides (mg/dl) 121.5 ±5.5 129.4 ± 5.7 0.9798 = 0.3276

Table 3: Comparison of age, sex, BMI, blood pressure, fasting blood sugar, and lipid levels in patients with and without arcussenilis.

An age-adjusted analysis demonstrated the increasing occurrence of arcus senilis with increasing age, although not all of the 273 subjects could be included in the analysis, due to uncertainty about birthdates in a small minority (Table 4). Multivariate regression analysis was carried out on these observations. It demonstrated that the primary variables, associated with corneal arcus in this population were increasing age (p<0.0001), increasing fasting blood sugar (p=0.0037), increasing HgbA1c (p=0.01), increasing systolic blood pressure (p=0.0068) and diastolic blood pressure (p=0.02), and decreasing BMI (p=0.012). There was no significant association with LDL-cholesterol (p=0.3455), HDL (p=0.2311), serum triglycerides (0.3436) or raw body weight (p=0.642). When analyzed by metabolic characteristics and gender, these same relationships were found for age, BMI, blood pressure, and fasting blood sugar (p<0.05 for each).

Age with Arcus without Arcus Percent with Arcus
0-9 0 0  0%
10-19 0 9 0%
20-29 4 35 10%
30-39 9 55 14%
40-49 61 70 47%
50-59 100 102 50%
60-69 57 58 50%
70-above 17 21 45%

Table 4: Occurrence of arcus senilis by age.

Discussion

arcus senilis is thought to be a marker for increased risk of cardiovascular disease [4] and it is thought to be associated with lipid abnormalities [14]. However, while the literature seems to support the association with cardiovascular risk with some consistency, it is unclear about relationships between arcus and specific metabolic abnormalities. Associations between the occurrence of corneal arcus and lipid deposition in other tissues such as aortic atherosclerosis and Achilles tendonous xanthomas have been shown [2]. One South African study demonstrated association of corneal arcus with abnormalities of LDL and HDL cholesterol levels [15]. However, the study did not factor in the effects of age. On the other hand, Chen et al. [16] noted that the associations between the occurrence of arcus and cardiovascular risk were abolished, when adjusted for age.

The present study looked at the prevalence of hyperlipidemia, hypertension, abnormalities in BMI, and hyperglycemia in two closely matched groups: patients, who were recruited for free eye exams and found to have arcus senilis; and patients without arcus senilis recruited from the same group, who by BMI, blood pressure measurement or personal or family history were thought to have increased risk of one or more of these metabolic conditions. The results included age-adjusted, multivariate analyses, and they demonstrate a primary relationship between increasing age and the occurrence of arcus senilis. They also suggest a relationship among hyperglycemia, hypertension and corneal arcus, and decreasing BMI and arcus. In contrast, the results clearly show no direct association between lipid levels and corneal arcus, most especially LDL-cholesterol levels, when corrected for age.

That age is an important association with the occurrence of arcus senilis is well-recognized in the literature [3,5-8,17,18]. However, that hyperglycemia is, perhaps, the most important metabolic abnormality to be significantly associated with this condition is not. At least two prior publications have reported associations between hyperglycemia and the occurrence of arcus senilis [19,20], while one did not confirm this association [16]. However, the negative study was carried out in an unusually thin, rural Indian population, which may, in part, explain its findings. The present study emphasizes the significance of the association in an American population and, perhaps suggests more details about it. This is because in the present study, the prevalence of arcus was significantly associated with hyperglycemia and hypertension. This raises the question of whether hyperglycemia alone or in combination with hypertension is a contributing factor to the occurrence of arcus. The inverse relationship between arcus and BMI in this population suggests the importance of hyperglycemia and hypertension specifically in the relationship with the occurrence of arcus. Whatever the primary causal relationship among these factors and arcus senilis is, this and the previous studies in the literature, suggest that patients, who are found to have arcus senilis, should be screened for hyperglycemia. That arcus would be an indicator to suggest the presence of some degree of clinically significant hyperglycemia is an important, new consideration.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Article Usage

  • Total views: 12226
  • [From(publication date):
    October-2013 - Sep 22, 2018]
  • Breakdown by view type
  • HTML page views : 8424
  • PDF downloads : 3802
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

bornova escort

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

https://www.gaziantepescort.info

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version