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                <title><![CDATA[Diabetic retinopathy and visual impairment in disaster prone coastal population of Bangladesh]]></title>

                                    <author><![CDATA[M. Abu Sayeed]]></author>
                                    <author><![CDATA[AH Syedur Rahman]]></author>
                                    <author><![CDATA[Md. Hazrat Ali]]></author>
                                    <author><![CDATA[Mir Masudur Rhaman]]></author>
                                    <author><![CDATA[J Ashraful Haq]]></author>
                                    <author><![CDATA[Akhter Banu]]></author>
                
                <link data-url="https://imcjms.com/registration/journal_full_text/94">
    https://imcjms.com/registration/journal_full_text/94
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                <pubDate>Sat, 01 Oct 2016 01:16:34 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[IMC J Med Sci 2016; 10(1): 10-17]]></comments>
                <description>Abstract
Methods: Thirty-two coastal communities in
six coastal districts were purposively selected. All coastal people of age 18
years or more were considered eligible. Investigations included clinical
history, anthropometry (height, weight, waist- and hip-girth), blood pressure
and fasting blood glucose (FBG). The participants with hyperglycemia (FBG
≥5.6mmol/l) were undertaken for eye examination. Visual acuity was measured bilaterally using the Snellen chart. An Early treatment
diabetic retinopathy study (ETDRS) cut out chart with E Optotypes was used.
Conclusion: The study concludes that
visual impairment and cataract of any type is almost
comparable with other coastal populations. The coastal people had higher
prevalence of DR compared to rural population from other areas of Bangladesh
and it was also higher than global estimate. The persons with higher age from
higher social class with higher central obesity had excess risk for DR. The
risk of DR increased with increasing hyperglycemia. Further study may be
undertaken to confirm these findings.
IMC
J Med Sci 2016; 10(1): 10-17.&amp;nbsp;DOI: https://doi.org/10.3329/imcjms.v10i1.31100  
Address for Correspondence:
Of
the alarming trend of non-communicable diseases (NCD), type 2 diabetes mellitus
(T2DM) is common throughout the world and more alarming in the south-east Asian
region [1]. A global estimate of diabetes in the year 2000 was 171 million.
This figure is likely to be more than double (366 million) by 2030; and most
significant increase will occur in the developing countries
[1]. T2DM affects elderly people in the developed
countries, whereas, in the developing and least developing countries, younger
people are more affected [2]. We have the same experience in Bangladesh [3].
Additionally, the prevalence of micro-vascular complications is common in these
populations [4-6]. Of the micro-vascular sequels, diabetic retinopathy (DR) was
found to be the most disabling complications as it results into loss of vision.
A community based study in Sri Lanka reported that more than one-fourth (27.4%)
of the diabetic patients had DR [7]. This report indicates that the most
diabetic people are prone to develop DR and eventually blindness. For
Bangladesh, several population based studies reported the increasing trend of
T2DM [8-10]; but there was no community based study on DR. This study addressed
the prevalence and risk of DR at the community level in
a disaster prone coastal population of Bangladesh.
&amp;nbsp;
Material
and methods 
The study protocol was approved by the Ethical Review
Committee of the Diabetic Association of Bangladesh (BADAS).
Fig.1:
Map of Bangladesh showing the location of six coastal districts included in
the study [11]
Fig.2: Map showing the study
sites in each coastal district. Each Dot (n) indicates location of
study site [11]
&amp;nbsp;
Collection of blood
sample: Taking an aseptic measure five ml of fasting blood
sample was collected for estimation of fasting blood glucose (FBG mmol/l) and
lipids (total cholesterol [T-chol], triglycerides [TG], low-density lipoprotein
[LDL] and high-density lipoproteins [HDL]). Finally, biochemical tests were carried out in
BIRDEM laboratory. Plasma glucose was measured by glucose oxidase-peroxidase
method using Technicon M-II auto-analyzer. To reduce the cost, a randomized
sample was drawn (n=225) for the estimation of T-chol, TG and HDL by
auto-analyzer (Hitachi-704) using enzymatic method. The coefficient of
variation (CV) was allowed ≤5%. While
collecting blood sample a drop of blood was taken on a hemo-glucotest strip (One Touch select sample, Lifescan) for
rapid assessment of FBG [12]. We used ADA and WHO diagnostic criteria for
hyperglycemia and predicting diabetes [13,14]. The participants, who showed FBG
≥5.6 mmol/l, were referred to ophthalmologist for eye examination (Fig 3). The
participants presented with eye complaints, irrespective of glycemic status,
were also referred.
&amp;nbsp;
&amp;nbsp;Figure 3: Algorithm of the study
Visual acuity was measured
bilaterally using the Snellen chart. An early treatment diabetic retinopathy study
(ETDRS) cut out chart with E Optotypes was used [15]. Torch light and pinhole
were also used [16]. The
cause of visual impairment (cataract, refractive error and retinopathy) was
identified [16, 17]. Then the pupil was dilated by using 1% Tropicamide and the
fundus was examined with direct ophthalmoscope [18]. Diabetic
retinopathy (DR) was diagnosed and classified according to classification of DR
and diabetic macular edema [19]. The
study findings on DR have been modified for easy presentation: (a)
Pre-proliferative – microaneurysms with or without intraretinal hemorrhages;
(b) proliferative – neovascularization with or without Vitreous/preretinal
hemorrhage; (c) Diabetic macular edema (maculopathy) – any thickening or lipid
exudates in the macula [20].
&amp;nbsp;
Statistical analyses
The prevalence rates of cataract, impaired visual acuity and diabetic
retinopathy according to sex, family history and social class were given in
percentages with 95% confidence interval (CI). The biophysical characteristics
were shown in mean with standard deviation. We used unpaired t-test for
comparison of characteristics between participants with and without
retinopathy. For assessment of risk odds ratio (OR) with 95% CI were used. SPSS
version 20 was used for all analyzing qualitative and quantitative data. Less
than 0.05 was considered significant.
&amp;nbsp;
Results 
The
prevalence of DR according to sex, social class and family history were shown
in table 2. The prevalence of DR was significantly higher among those who had
known diabetic member in their first degree relatives than those who had no
known diabetic member in their families. Regarding social class, the affluent
participants had significantly higher DR than their non-affluent counterparts.
Compared with the women the men had higher frequency though not significant. 
&amp;nbsp;
Table-2: Prevalence [% (95% CI*)] of retinopathy
according to sex, family history (n=1412) and social class (n=1377)
&amp;nbsp;
Table
3 showed the comparisons of biophysical characteristics between participants
with and without DR. The participants with DR had significantly higher age
(p&amp;lt;0.001), higher central obesity (WHR p&amp;lt;0.001; and WHtR p=0.01), higher
fasting FBG (p&amp;lt;0.001). Interestingly, there was no significant difference in
general obesity (BMI p=0.917). Even more interesting is that the participants
with DR had significantly lower total cholesterol (p=0.03) and lower low-density
lipoprotein (LDL p=0.047).
&amp;nbsp;
Table-3: Comparison of characteristics between participants with and without
retinopathy
&amp;nbsp;

 
  
  &amp;nbsp;
  
  
  No retinopathy
  n=617
  
  
  Retinopathy
  n=145
  
  
  &amp;nbsp;
  
 
 
  
  Characteristics
  
  
  Mean
  
  
  SD†
  
  
  Mean
  
  
  SD
  
  
  p‡
  
 
 
  
  Age (y)
  
  
  47.7
  
  
  13.4
  
  
  52.4
  
  
  12.8
  
  
  0.001
  
 
 
  
  BMI
  
  
  23.6
  
  
  3.9
  
  
  23.6
  
  
  3.5
  
  
  .917
  
 
 
  
  WHR
  
  
  0.896
  
  
  0.081
  
  
  0.925
  
  
  0.072
  
  
  0.001
  
 
 
  
  WHTR
  
  
  0.507
  
  
  0.072
  
  
  0.523
  
  
  0.061
  
  
  .010
  
 
 
  
  SBP (mmHg)
  
  
  127.4
  
  
  21.9
  
  
  129.8
  
  
  24.2
  
  
  .238
  
 
 
  
  DBP (mmHg)
  
  
  81.8
  
  
  12.6
  
  
  81.9
  
  
  11.1
  
  
  .921
  
 
 
  
  FBG (mmol/l)
  
  
  6.8
  
  
  3.1
  
  
  8.9
  
  
  4.5
  
  
  0.001
  
 
 
  
  Chol (mg/dl)*
  
  
  221
  
  
  69
  
  
  189
  
  
  48
  
  
  .030
  
 
 
  
  TG (mg/dl)*
  
  
  176
  
  
  122
  
  
  150
  
  
  82
  
  
  .323
  
 
 
  
  &amp;nbsp;HDL (mg/dl)*
  
  
  46.2
  
  
  10.4
  
  
  44.5
  
  
  11.4
  
  
  .468
  
 
 
  
  LDL (mg/dl)*
  
  
  139.9
  
  
  59.6
  
  
  114.6
  
  
  41.5
  
  
  .047
  
 

† SD – standard deviation;
‡ p after unpaired t-test; * - a randomized sample size (n = 225)
&amp;nbsp;
This
is the first study, which addressed the prevalence of DR and visual impairment in
a coastal population. Some socio-demographic and biophysical risk factors were
also assessed. Two important aspects of the study are worth mentioning.
Firstly, the study population has least access to health care services and
diagnostic facilities. Secondly, the study areas are mostly inaccessible due to
inconvenient communication and precarious weather condition. We had some
advantages. We could refer the persons with cataract to nearby centers for
surgery organized and maintained by Fred Hollow Foundation. The local people
especially teachers and students were very much cordial. They actively and
sincerely volunteered the study in every step (carrying message to the
villagers from house to house and making list of the participants and taking
them to the investigation site.
So far
available a population based study of Bangladesh showed that overall prevalence
of DR was 5.4% among the rural people of age 30 years or older [22]. Our study
demonstrated that compared with the rural people of other areas of Bangladesh,
the coastal people had increased prevalence of DR. An estimated global
prevalence of ‘any DR’ was found 6.96% (95CI, 6.87-7.04) [23]. Thus, the global
estimate also indicates that the coastal people are more susceptible for
developing DR. A ‘Singapore Eye Study’ among the migrant Indians (age &amp;gt;40y)
reported that the prevalence of DR was 10.5% (95% CI, 9.3-11.8) [24]. This
finding also showed that our study population bears greater risk for DR.
An interesting finding was that the level of
total cholesterol and LDL-cholesterol was found significantly lower in those
who had no DR than those who had. The findings indicate that these lipid
fractions appear to be protective against DR. The explanation is not known.
We conclude that the prevalence of visual
impairment and cataract is comparable with other studies; whereas, the
prevalence of DR among the coastal people was higher than that of the rural
Bangladeshis and also higher than global estimates and Indian migrants. The
persons with higher age from higher social class with higher central obesity
had excess risk for both diabetes and DR. Further study may be undertaken to
confirm the study findings and if found consistent then the coastal people need
an urgent Eye Care facilities for the prevention of visual impairment and
blindness.
Acknowledgements – We are grateful to Fred
Hollow Foundation (FHF) for their financial support. We are indebted to Prof AH
Syedur Rahman, Department of Ophthalmology, BIRDEM for his initiative to
communicate to FHF. We deeply acknowledge him posthumously with all our deepest
respect. We appreciate the cooperation extended by the Ibrahim Medical College
and the Department of Ophthalmology, BSMMU, Dhaka. We are grateful and obliged
to the teachers, students and all participants of coastal area for their
cordial and pleasant hospitality.
&amp;nbsp;
References
2.&amp;nbsp;World Health
Organization: Guidelines for
the prevention, management and care of diabetes mellitus. EMRO Technical publications series 32,
Geneva 2006. 
4.&amp;nbsp;Sayeed
MA, Khanam
PA, Choudhury RI, Mahtab H, Azad Khan AK. Retinopathy and nephropathy are the
most prevalent complications among diabetic subjects in Bangladesh. Diabetologia 2005; 48(Suppl 1): Abs-944 (P: A343). 
6.&amp;nbsp;Sayeed
MA, Khanam PA, Mahtab H and Azad Khan AK. Microvascular complications among
diabetic subjects predominate in the long-term follow up: 15-year retrospective
study. Diab Res Clin Pract 2000; 50: S116.
7.&amp;nbsp;Katulanda P,&amp;nbsp;Priyanga Ranasinghe P&amp;nbsp;and&amp;nbsp; Jayawardena R. Prevalence of
retinopathy among adults with self-reported diabetes mellitus: the Sri Lanka
diabetes and Cardiovascular Study. BMC Ophthalmol 2014; 14: 100. doi: 10.1186/1471-2415-14-100
8. Sayeed
MA, Mahtab
H, Khanam PA, Latif ZA, Banu A and Azad Khan AK. Prevalence of diabetes and
impaired fasting glucose in urban population of Bangladesh. Bangladesh Med Res Counc Bull 2007; 33(1): 1-12.
10.&amp;nbsp;Rahim MA, Hussain A, Azad Khan AK, Sayeed MA, Keramat Ali SM, Vaaler S. Rising prevalence of type 2
diabetes in rural Bangladesh: a population based study.Diabetes Res Clin Pract 2007; 77(2): 300-305.
12. Florkowski&amp;nbsp;C,&amp;nbsp;Budgen&amp;nbsp;C,&amp;nbsp;Kendall&amp;nbsp;D,&amp;nbsp;Lunt&amp;nbsp;H
and Moore&amp;nbsp;MP.&amp;nbsp;Comparison of blood glucose meters in a New Zealand
diabetes centre.&amp;nbsp;Ann Clin Biochem&amp;nbsp;2009;
46: 302–305.
14.&amp;nbsp;American Diabetes Association. Standards of Medical Care in Diabetes—2011. Diabetes Care 2011; 34(Suppl 1):
S11–S61.
16.&amp;nbsp;Neena J, Rachel J, Praveen V, Murthy GV.
Rapid assessment of avoidable blindness in India.PLOS One 2008; 3: e2867.
18.&amp;nbsp;Klein R,
Klein BEK, Moss SE, Davis MD, Demets DL. The Wisconsin epidemiologic study of
diabetic retinopathy-X. Four year incidence and progression of diabetic
retinopathy, when age at diagnosis is 30 years or more.&amp;nbsp;Arch Ophthalmol&amp;nbsp;1989; 107: 244–49.
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