Introduction

Diabetes Mellitus (DM), a major health pandemic, affects an estimated 285 million people globally and is projected to affect 366 million people by 2030 [1,2,3]. One of diabetes’ costliest aspects involves the detection and treatment of its complications [4, 5]. In Australia, Wright et al., studied a hypothetical patient with blindness due to diabetic retinopathy (DR) and estimated the direct annual cost incurred by both the government and community would be $17,701 (range $9669–26,720) [6]. Detecting DR changes early and providing timely interventions decrease the risk of DR progression and risk of permanent sight-threatening disease [7]. Implementing DR screening programs using retinal photography is a cost-effective intervention, for reducing ongoing clinic visits and visual rehabilitation, as well as improving patients’ quality of life [8,9,10].

A particularly high prevalence of DM exists in the Pacific Island nations [11, 12]. Samoa is a small South Pacific Island nation with a population of 193,000 divided between two large islands [13]. The capital, Apia, is located on the island of Upolo and is home to the country’s only major hospital [Tupua Tamasese Meaole, (TTM) Hospital]. The main health concerns in Samoa are diabetes, obesity, and cardiovascular disease, all of which are increasing in prevalence [14,15,16]. Collins et al. compared the rates of DM in Apia over a 13-year period (1978–1991) and found the prevalence amongst men rose from 8.1% to 9.5%; while in women it rose from 8.2% to 13.4% [17]. Another Samoan survey conducted in 2002 found that the prevalence of DM had almost doubled to 23.1% [18]. The current burden of diabetes in Samoa is more than 25% of the total population [19]. Furthermore, despite the cost-effectiveness of early DR detection, Samoa currently has no regular DR screening programme [10, 20]. We performed a pilot study to explore the feasibility of DR screening in Samoa that, if implemented, could potentially reduce the burden of DR through earlier diagnosis and treatment.

Methods

A cross-sectional study of patients with DM was conducted at the eye clinic at TTM hospital, between May 2011 and September 2011. TTM hospital has one of two eye clinics in Samoa and the only one on the island of Upolu. All diabetic patients, presenting to TTM’s eye clinic in the 4-month time frame as stated above, were asked their willingness to participate in DR screening. Patients were provided an information sheet detailing the study. Following informed consent, subjects were asked their demographics [age, area of residence (rural or urban)], and medical history. For the purposes of this study, any area of Samoa other than Apia, was considered rural [17]. Medical information obtained included type of DM, length of time since DM diagnosis, most recent random blood sugar level (BSL), blood pressure (BP, mmHg), and previous ophthalmic history.

The current practice at the TTM eye clinic is to dilate the pupils in all patients with DM for fundoscopy. Therefore, the participants had their retinal photos taken through dilated pupils with a Canon CR6-45NM retinal camera (Canon Incorporated, Tokyo, Japan, 2005). Three 45-degree retinal photographs were taken in each eye, centred on the macular, the disc and temporal to the macula. The photographs were digitally stored and assessed for quality. Copies of the grading report were kept in the case notes. All photos that were readable were assessed for the presence of DR and diabetic macular oedema (DMO). If either were present, the photos were graded according to the International Clinical DR Severity Scale and the International Clinical DMO Severity Scale [21]. Photos that were “unreadable” were forwarded to a consultant ophthalmologist in Australia.

All subjects were advised of their level of DR at the time of examination, instructed how to control their risk factors, and when to return for re-examination. Subjects found to have severe non-proliferative DR or proliferative DR (PDR) were referred to a visiting ophthalmologist for assessment and treatment. Some complicated cases were referred to an ophthalmologist in New Zealand.

Statistical analysis was performed using SPSS (TM, version 19, 2011). Data collected was first analysed by eye, i.e., each eye was treated as separate and individual from the participant’s other eye. All demographic information for each patient was the same for each eye; however, the grade of DR and DMO may have been different. Data relating to the prevalence of DR and DMO was analysed as a whole followed by various sub-group analyses. The subgroups that were assessed included: gender, length of time since diagnosis, area of residence of the patient, BP, and reported BSL. Secondly, data was analysed in terms of each patient, i.e., both eyes were considered in the same patient with the worse eye being taken as the participant's DR or DMO level. Analysis of Variance (ANOVA) tests were performed to compare the levels of DR and DMO in these groups. For continuous variables (length of time since diagnosis, BP, visual acuity and reported BSL) Chi squared trend testing was used to compare DR and DMO grades with nominal variables such as BP, gender and location of residence. Probability values of <0.05 were considered to be statistically significant. Study approval was granted by the National Health Service Board of Samoa, the Monash University Human Research Ethics Committee, and the study adhered to the Tenets of the Declaration of Helsinki.

Results

Demographic Data

Two hundred and fourteen eyes from 107 subjects were examined during the study period, all of whom had type 2 diabetes. The median age of participants was 60 years and 45.6% (49/107) were male. The area of residence was determined for 74 people, of which 31 (43.6%) lived in rural areas. The mean BP of subjects in our study was 152/87 mmHg, and the mean BSL was 62 mmol/L. Table 1 outlines the basic demographic data of subjects in the study.

Table 1 Demographic data of the study population

Retinal Photographs

As part of the study, 85.5% (183/217) eyes were graded for both their level of DR and DMO. It was found that 14.5% had unreadable photographs, mainly due to media opacities, such as cataracts, but were included in the final analyses.

Diabetic Retinopathy

DR was present in 53.3% (114/214) of eyes, with 14.5% (31/214) having PDR (18 treated previously) and 7.5% (16/214) with severe NPDR. Only 32.2% (69/214) of all eyes photographed showed no signs of DR. The length of time since DM diagnosis was an important factor in the development of DR (Fig. 1). Figure 2 shows the relationship between BP and grade of DR. When analysing BP sub-groups using a Chi squared test for trends, a statistically significant difference was found (p = 0.03). When ANOVA testing was performed, a statistically significant relationships existed between length of time since DM diagnosis and higher grades of DR (p < 0.0001); and higher systolic BP (when taken as a continuous variable) and higher grades of DR (p = 0.002).

Fig. 1
figure 1

Grade of diabetic retinopathy according to length of time since diagnosis of diabetes mellitus. The y-axis indicates the percentage of people with diabetic retinopathy and the x-axis indicates the length of time since diagnosis of diabetes

Fig. 2
figure 2

Blood pressure compared to diabetic retinopathy grade. The y-axis indicates the percentage of people with high blood pressure and the x-axis indicates the grade of diabetic retinopathy

Diabetic Macular Oedema

In this study, 11.7% (25/214) had DMO requiring treatment; 25.2% (54/214) had some evidence of DMO, and 60.3% (129/214) of eyes were free of any signs of DMO. Table 2 shows the distribution of the different grades of DMO with gender. Chi squared tests found a statistically significant relationship between higher grades of DMO and the female gender (p = 0.05), as well as high grades of DMO and BP >150/85 mm/Hg (p = 0.02). ANOVA testing found a statistically significant relationship between increased length of time since DM diagnosis and a higher grade of DMO (p = 0.031). However, the ANOVA test did not show a statistically significant relationship between the grade of DMO and the reported BSL level (p = 0.66).

Table 2 Distribution of diabetic macular oedema grades

Location of Residence and Diabetic Eye Diseases

The proportion of DR in the rural group was 58.1% (36/62) compared with 36.5% (40/86). However, this relationship was not found to be statistically significant following Chi squared tests for trend (p = 0.38). DMO also had a higher prevalence amongst rural participants of this study when compared to urban participants. Chi squared tests for trend, again, did not find a statistically significant relationship between location of residence and the grade of DMO (p = 0.19).

Discussion

Our study revisited DR in Samoa for the first time in 20 years, providing a valuable snapshot of the current ocular health of the local diabetic population. We found the prevalence of DR in Samoa to be much higher (53.3%) than previous reports (range 8.1% to 23%) [17, 18]. Our figure increased further to 65.4% when the number of people with DR in one or both eyes was considered and 31.1% of our study population had DMO. Another earlier Samoan study found that DR caused blindness and low vision in 7.9% and 13.4% of patients [22]. Keefe et al. noted that DR ranked among the leading causes of visual impairment in Pacific Island nations [23]. Our rates of DR and DMO were much higher than recent studies’ findings in neighbouring Pacific Islands such as Fiji (21.5%) and Solomon Islands (38%) (Table 3). These high figures may be due to the poor control of the risk factors for DR amongst Pacific Islanders [11, 24]. Studies from New Zealand have found that Pacific Islanders were less likely to achieve good glycaemic control and had higher BP readings, both of which are important risk factors for DR [25,26,27].

Table 3 Comparison of recent diabetic retinopathy and diabetic macular oedema studies in the Pacific Islands

In our study, a statistically significant relationship existed between the length of time since diagnosis and the severity of both DR (p < 0.001) and DMO (p = 0.031). Unfortunately, the length of time that a person has DM is a risk factor that cannot be modified [28]. The Wisconsin Epidemiologic Study of DR showed that the severity of retinopathy was related to a longer duration of diabetes [29]. The Newcastle DR study found that after 30 years, 87% to 90% of patients had DR, with an 8% annual risk of developing DR [30, 31]. Other studies have found a statistically significant yearly odds ratio for the development of DR (i.e., 1.1 and 1.06) [32, 33].

Blood pressure was an important risk factor for the development and progression of DR in our study. Hypertension was a major problem in our study population, with patients’ having an average BP of 152/90, which exceeds the recommended levels of 130/80 for diabetic patients [34]. Our study showed a statistically significant relationship between high systolic BP and high grades of DR (p = 0.002), and BP higher than 150/85 mmHg was associated with higher levels of DR (p = 0.03) and DMO (p = 0.02). A continuous relationship exists between BP and the risk of DR [34]. A rise in systolic and diastolic BP of 10 mmHg has been associated with a 3–20% increased risk of DR [35]. Good BP control reduces the risk of developing DR [34, 35]. The UKPDS found that a decrease of 10 mmHg in BP led to a 34% decrease in the risk of DR progression (p = 0.004) [36]. Tight BP control (BP <150/85 mmHg) reduced DR progression by 34% and visual acuity loss by 47% [34, 36].

In Samoa, many live with undiagnosed diabetes: those who are eventually diagnosed, experience advanced complications [14]. Of the vast majority of participants screened with the retinal camera, a large proportion with disease required treatment highlighting the real need for a formal DR screening program in Samoa. Similar equipment as what we used in our study could be utilized as part of a telemedicine programme to identify sight-threatening disease [37, 38]. When in doubt about the diagnosis, the captured image could be sent electronically to a specialist ophthalmologist for diagnosis and advice on management [37, 39].

Limitations of our study should be noted. DR assessment was based on three 45-degree fundus photographs through dilated pupils, similar to those used in previous Samoan studies [17, 18]. Performing seven 30-degree fields—the internationally recognized gold-standard was not feasible given our limited resources [40]. The subjects sampled may not be truly representative of the wider Samoan population. Subjects were not randomly selected and selection bias is an important consideration. Although many persons with diabetes attended the eye clinic for reasons unrelated to DR, others presented with cataracts and symptomatic DR. Thus, we may have overestimated the severity of DR in our Samoan population. It is also possible we under-represented people with mild/asymptomatic DR, or with social or health problems that did not have hospital access. The small number of subjects (n = 107) limited our ability to show statistical significance differences between groups (type 2 error), especially in the subgroup analysis. Finally, due to high cost and poor availability of glucometers, most diabetics in Samoa obtained a single random blood glucose check at 3 monthly intervals rather than measuring their HbA1c blood levels [41].

Conclusion

Our pilot study showed that DR is a serious problem in Samoa. A larger, more detailed cross-sectional population-based study is needed to investigate the increasing prevalence of DR in Samoa. Having the resources to measure HbA1c levels, in addition to DR retinal screening among a random population sample from both rural and urban areas would provide a more accurate picture of the true prevalence of diabetes and DR in Samoa. Assessing various risk factors, including behavioural reasons for poor control of DM, hypertension, obesity, and treatment compliance, would provide invaluable insights into the potential targets for public health interventions.