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Diabetes, Metabolic Disorders & Control

Research Article Volume 7 Issue 3

Integrating microvascular assessments into one clinic, in an annual one-stop approach

Eman Sheshah,1 Dalal Al-Qaisi,1 Reem Aman,1 Ghassan Aldekhayel,1 Jumana Alzayer,2 Faisal Alerwy,2 Abdulrahman Alhadhif,2 Maram Alsuwaidan ,2 Weam Ahmed,2 Ahmed Tabash,2 Mohammed Alshanqiti2

1Diabetes Care Center, King Salman Hospital, Saudi Arabia
2Internal Medicine Department, King Salman Hospital, Saudi Arabia

Correspondence: Ghassan Aldekhayel, Diabetes Care Center, King Salman Hospital, Riyadh, Saudi Arabia, Tel +966114311100

Received: September 04, 2020 | Published: September 28, 2020

Citation: Sheshah E, Al-Qaisi D, Aman R, et al. Integrating microvascular assessments into one clinic, in an annual one-stop approach. J Diabetes Metab Disord Control. 2020;7(3):100-104. DOI: 10.15406/jdmdc.2020.07.00208

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Abstract

Background: Uncontrolled diabetes can cause many microvascular complications. Thus, early detection and appropriate treatment are essential to prevent diabetes complications that may cause disability and death. The main aim of the study is to test the effectiveness of a one stop screening clinic for retinopathy, nephropathy, and neuropathy for people with diabetes.

Methods: A cross-sectional observational study, the study was done during a period of 3 months from February to March 2019. We used convenience sampling to select participants who attended the screening clinic of the Diabetes Care Center at King Salman Hospital, Riyadh, Saudi Arabia. A total of 260 diabetic patients participated in the study.

Results: The study included 260 participants, around 61% were female participants. The mean age of the participants was 51 years. Most of the participants were type 2 diabetic patients (93.5%). Patients’ acceptance and satisfaction rates of the one stop clinic were 100%. Non-proliferative diabetic retinopathy prevalence was 11%. Meanwhile, the prevalence of maculopathy was 1.5%. The prevalence of micro-albuminuria was 18.6% and macro-albuminuria was 1.9%. Also, the prevalence of chronic kidney disease stage 3 was 4.2% and stage 4 was 0.4%. We found that neuropathic symptoms were present in 40.7% of the participants. The prevalence of diabetic peripheral neuropathy (DNP) according to the neuropathy disability score, which is our gold standard test was 13.8% and using 10-g monofilament test was 19.5%. Meanwhile, the prevalence of DNP according to DPN-check was 40.9%, and according to Sudoscan was 73%.

Conclusion: Having one clinic that combines retinopathy, nephropathy, and neuropathy screening is possible. A one stop clinic is also highly accepted, reduces clinical visits, and can detect microvascular disease.

Keywords: diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, screening, microvascular complications, diabetes mellitus, Saudi Arabia

Abbreviations

DM, diabetes mellitus; IDF, international diabetes federation; MENA, middle east and north Africa; ESRD, end-stage renal disease; WHO, world health organization; DKD, diabetic kidney disease; CKD, chronic kidney disease; GFR, glomerular filtration rate; ICO, international council of ophthalmology; ADA, American diabetes association; NSS, neuropathy symptom score; NDS, neuropathy disability score; DPN, diabetic peripheral neuropathy; NPDR, non-proliferative diabetic retinopathy; TCNS, Toronto clinical neuropathy score; ROC, receiver operating characteristic

Introduction

Diabetes mellitus (DM) is considered as a global epidemic. According to the International Diabetes Federation (IDF), DM affects more than 463 million people worldwide most of them are type 2 DM cases. The IDF estimates that the Middle East and North Africa (MENA) Region has the highest age adjusted prevalence of DM in adults in 2019, 2030 and 2045 (12.2%, 13.3% and 13.9%, respectively). In 2019, the IDF ranked Saudi Arabia as the fourth highest country in the MENA region for the prevalence of diabetes in the age group 20–79 years with 4.3 million diagnosed with diabetes after Pakistan, Egypt, and Iran.1 Uncontrolled diabetes can cause many chronic macrovascular and microvascular complications. Long term diabetes complications may already be present in type 2 diabetics by the time they are appear soon after the onset of type 1 diabetes. Early detection and appropriate treatment are essential to prevent diabetes complications that may cause disability and death.2,3 Type 2 DM may cause microvascular complications such as retinopathy, nephropathy, and neuropathy. These microvascular complications are common and cause several degrees of visual impairment leading to blindness in retinopathy.1,4 Microvascular complications can cause proteinuria leading eventually to end-stage renal disease (ESRD) in nephropathy.5,6 Additionally, neuropathological complications can cause pain, numbness, and chronic recurrent infected ulcers in the extremities that may lead to amputation.7 Diabetic retinopathy is the leading cause of blindness within the working age population in most countries.8 In 2019, a systematic review indicated that the annual incidence of diabetic retinopathy is from 2.2% to 12.7% and annual progression to sight threatening diabetic retinopathy is from 3.4% to 12.3%.9 The World Health Organization (WHO) Universal Eye Health: A Global Action Plan 2014–2019 outlines the need to achieve a reduction in the prevalence of avoidable visual impairment and blindness including that related to diabetes, which is currently among the five most common causes of both moderate or severe visual impairment and blindness. WHO member states have committed by the year 2019 to reduce the prevalence of avoidable visual impairment by 25% compared to the baseline established by WHO in 2010.10 In Saudi Arabia, 10.8% of individuals with diabetes have diabetic nephropathy and 37% of them have ESRD.11,12 Furthermore, internationally among diabetics the prevalence of ESRD increases 10 fold compared with non-diabetics and almost 80% of ESRD is caused by DM and/or hypertension.1

Primary prevention of diabetes is considered the most effective method to reduce the impact of diabetic kidney disease (DKD). Meanwhile, secondary prevention of DKD in those already diagnosed with diabetes can be achieved through early stage diagnoses and treatment of chronic kidney disease (CKD).1 Thus, albuminuria or glomerular filtration rate (GFR) screening is shown to be cost effective in diabetic and hypertensive patients.13 The most common form of diabetes related neuropathy is peripheral neuropathy. Distal nerves of the extremities are mainly affected, especially the feet. Patients usually experience pain and numbness due to the symmetrical sensory function alteration.1,7 The reported prevalence of diabetes related to peripheral neuropathy ranges from 16% to 87%, with painful neuropathy reported in about 26% of diabetic adults.14,15 Moreover, lower limb amputation among diabetics increases 10 to 30 fold as compared to non-diabetics.16,17 Unfortunately, less than 30% of physicians can identify the signs of peripheral neuropathy caused by diabetes.18 As result of missed diagnoses, peripheral neuropathy causes high rates of morbidity and mortality. Thus, screening for retinopathy, nephropathy, and neuropathy is vital in the secondary prevention of diabetes microvascular complications. Therefore, having an annual screening for microvascular complications is recommended for diabetics, the screening for newly diagnosed type 2 diabetes is recommended at the time of diagnoses and for type 1 diabetes it is recommended 5 years after diagnoses.3 The main aim of the study is to test the effectiveness of a one stop screening clinic for retinopathy, nephropathy, and neuropathy for diabetic patients. In order to reach this aim, the first objective was to assess the feasibility of the one stop screening clinic. The second objective was to evaluate patient satisfaction. The third objective was to assess the diagnostic efficacy of two point of care devices which are DPN-Check and Sudoscan.

Methods

This research study was designed as a cross-sectional observational study. The study was done during a period of 3 months from February to March 2019. We used convenience sampling to select participants who attended the screening clinic of the Diabetes Care Center at King Salman Hospital, Riyadh, Saudi Arabia. A total of 260 diabetic patients participated in the study. The inclusion criteria for the study was diabetic patients aged 18 to 70 years. Participants known to have medical issues other than diabetes were excluded from the study, patients with co-morbidities such as chronic heart, renal or liver diseases. Patients with bilateral cataracts were also excluded from the study. An informed consent was signed by each participant. Participants had their microvascular screening done by physicians, optometrists and nurses in the one stop clinic. The protocol and point of care devices were supervised by an endocrinologist and a neurologist.

Research tool

The research tool used in this study was a self-administered online questionnaire in A well designed form was filled by the investigators, the form included some demographic questions such as age and gender. Other questions included the type and duration of diabetes. Vital signs such as blood pressure was measured using a digital sphygmomanometer. Digital retinal photography was used to assess retinopathy. Blood samples were taken from each participants for HbA1c test and glomerular filtration rate (GFR), and urine samples were obtained to calculate albumin: creatinine ratio. Feet examination of participants for motor and sensory function was done using a tendon hammer, 128-Hz tuning fork, and neurotip. Two point of care devices which are DPN-Check and Sudoscan were also used for feet examination. At the end participants were asked to complete a satisfaction survey for this one stop clinic. Definition of retinopathy is the presence of at least one micro-aneurysm, hemorrhage or exudates in either eye. We followed the International Council of Ophthalmology (ICO) recommendations for screening.19,20 According to the American Diabetes Association (ADA) recommendations for nephrology screening, patients were considered to have normal albuminuria if the albumin: creatinine ratio was <30 mg/g, micro-albuminuria if the ratio was 30-300 mg/g, and macro-albuminuria if the ratio was >300 mg/g.3,21 Staging of CKD was according to the guidelines of the National Kidney Foundation, and defined as stage 1 if GFR≥90 mL/min/1.73 m2, stage 2 if GFR 60 to 89 mL/min/1.73 m2, stage 3 if GFR 30 to 59 mL/min/1.73 m2, stage 4 if GFR 15 to 29 mL/min/1.73 m2, and stage 5 if GFR <15 mL/min/1.73 m2.22 Feet examination was done as per Boulton. Painful neuropathic symptoms were considered positive if the neuropathy symptom score (NSS) was ≥5. The neuropathy disability score (NDS) determined the presence of diabetic peripheral neuropathy (DPN), DPN was considered present if the NDS≥3. The NDS results were considered as the gold standard to be compared with the results of DPN-Check and Sudoscan. We divided the participants into four groups which are no DPN, mild DPN, moderate DPN, and severe DPN. No DPN if NDS <3, mild DPN if NDS is 3-5, moderate DPN if NDS is 6-8, and severe DPN if NDS>8.23,24 DPN-Check is a point of care device developed by Neurometrix. The device measures the sural sensory nerve conduction velocity (SNCV; m/s) and the sural nerve action potential (SNAP; μV). The DPN- Check is a hand held device with a screen to display the SNCV and the SNAP. For the diagnoses of DPN using DPN-Check, we had to have SNCV<40 m/s and/or SNAP<4 μV for both feet.25,26 Sudoscan is a point of care device developed by Impeto Medical. The device provides assessment of sudomotor function. Sudoscan measures voltage electrochemical skin conductance (ESC; μS) for both hands and feet of the participants. For the diagnoses of DPN using Sudoscan the ESC for both feet had to be less than 60 μS.27

Statistical analysis

The data is presented as either mean standard deviation or percentage. Independent T-test was used to calculate the variances between variable. Logistic regression analysis was done to calculate the odds ratio of having DPN according to SNCV and SNAP. For Sudomotor function to detect DPN, receiver operating characteristic curve (ROC) analysis, sensitivity and specificity were used to assess SNCV and SNAP. A p- value of <0.05 was used to report the statistical significance. Data was analyzed using SPSS 25.0.

Results

The study included 260 participants, Table 1 shows that around 39% of participants were male participants and almost 61% were female. The mean age of the participants was 51 years. Most of the participants were type 2 diabetic patient (93.5%), and only 6.5% of them were type 1 diabetic patient. The patients’ acceptance and satisfaction rates of the one stop clinic were 100%. Table 2 shows the association between the participants in the four groups (no DPN, mild DPN, moderate DPN, and severe DPN) to mean age, HbA1c, systolic and diastolic blood pressure, and albumin to creatinine ratio. The table also shows the association between the participants in the four groups to participants with type 2 diabetes and positive monofilament test. Finally, the table shows the mean SNCV and SNAP according to DPN-Check and mean ESC according to Sudoscan in each of the four groups of participants. Retinopathy screening showed the prevalence of non-proliferative diabetic retinopathy (NPDR) to be 11%. Meanwhile, the prevalence of maculopathy was 1.5%. Regarding nephrology screening, the prevalence of micro-albuminuria was 18.6% and macro-albuminuria was 1.9%. Also, the prevalence of chronic kidney disease (CKD) stage 3 was 4.2% and stage 4 was 0.4% among participants in the study. While screening for neuropathy, we found that neuropathic symptoms were present in 40.7% of the participants. The prevalence of DNP according to NDS, which is our gold standard test was 13.8% and using 10-g monofilament test was 7.69%. Meanwhile, the prevalence of DNP according to DPN-check was 40.9%, and according to Sudoscan was 73%. The DPN-check showed to have sensitivity of 62.9% and specificity of 69 %, area under the ROC curve 0.70 Figure 1. The Sudoscan showed to have sensitivity of 29.4% and specificity of 85.7%, area under the ROC curve 0.67 Figure 1.

Figure 1 DPN-check and sudoscan ROC curve.

Number of participants

260

Mean (SD) age, years

51.2 ( 11.7)

Gender

Male, n (%)

102 ( 39.2 % )

Female, n (%)

158 ( 60.7 % )

Type 2 diabetes, n (%)

243 ( 93.5 % )

Type 1 diabetes, n (%)

17 ( 6.5 % )

Table 1 Personal characteristics of the participants (n=260)

No DPN

Mild DPN

Moderate DPN

Severe DPN

Number of participants, n (%)

224 ( 86.2 )

28 ( 10.8 )

5 ( 1.9 )

3 ( 1.2 )

Mean (SD) age, years

51.03 ( 12.3 )

56.6 ( 7.08 )

46.2 ( 10.4 )

53.6 ( 7.09 )

Type 2 diabetes, n (%)

209 ( 93.3 )

27 ( 96 )

5 ( 100 )

2 ( 67 )

Mean (SD) HbA1c %

8.59 ( 2.1 )

9.2 ( 2.2 )

8.56 ( 0.89 )

8.93 ( 2.29 )

Mean systolic blood pressure, mmHg (SD)

135.7 ( 21.5 )

138.7 ( 25.2 )

154 ( 46.6 )

134 ( 19.8 )

Mean diastolic blood pressure, mmHg (SD)

81.58 ( 9.5 )

76 ( 9.6 )

86.3 ( 30 )

87 ( 15.5 )

Mean (SD) albumin:creatini ne ratio

34.4 ( 97 )

25.5 ( 24.5 )

73.5 ( 120 )

8.26 ( 3.9 )

Positive 10-g monofilament test, n (%)

8 ( 3.6 )

8 ( 28.6 )

3 ( 60 )

1 ( 33 )

DPN-Check

Mean (SD) right sural SNCV, m/s

44.8 ( 18.4 )

32.5 ( 24.4 )

48 ( 10.65 )

18 ( 31.2 )

Mean (SD) right sural, SNAP, μV

7.2 ( 5.5 )

3.03 ( 2.5 )

7.8 ( 5.36 )

2 ( 3.5 )

Mean (SD) left sural SNCV, m/s

46.37 (17.17)

34.3 ( 22.9 )

34.2 ( 23.6 )

18 (31.2 )

Mean (SD) left sural SNAP, μV

7.34 ( 5.7)

3.25 ( 2.59 )

3 ( 2.23 )

3.33 ( 3.51 )

Sudoscan

Mean (SD) hand ESC, μS

65.5 ( 16.6 )

52 ( 21.7 )

60.8 ( 16.9 )

73.66 ( 5.77)

Mean (SD) foot

56.9 ( 18.57 )

39.29 ( 21.3 )

62.2 ( 11.36 )

56.33 ( 3.51 )

ESC, μS

Table 2 Clinical characteristics of the participants (n= 260)

Discussion

Studies found that the barriers for microvascular screening in diabetic patients were difficulties in getting appointments, lengthy waiting periods, lack of knowledge about the importance of screening especially in the asymptomatic phase, and the insufficient coordination between physicians and screeners.28,29 This made health care providers suggested reform to overcome these barriers.30 Therefore, integrating the ophthalmology, nephrology, and neurology clinics into one clinic provides affordability, accessibility, and efficiency to insure improvement in the quality of care and prevention from microvascular complications. In the present study, patients’ acceptance and satisfaction rates were 100 %, comparing participants’ satisfaction of our study with a similar study done in the UK that found that 91.1% of participants favored the one stop screening clinic.31 It is clear that the one stop screening clinic saved time and effort for patients, instead of following up with 3 different clinics for the microvascular screening. In the present research, the prevalence of NPDR among participants was similar to some studies done in Saudi Arabia.32,33 Other studies in Saudi Arabia reported a higher prevalence rate of NPDR, but all studied emphasized on the importance of retinopathy referral and screening.34,35 Maculopathy prevalence rate among diabetic patients in this research was 1.5%, which correlated with another study that was done in Abha, Saudi Arabia that reported maculopathy prevalence of 2.5%.32 These relatively high prevalence rates show the importance of retinopathy screening for diabetics in Saudi Arabia. Thus, the one stop screening clinic can help overcome referral concerns addressed in previous literature.34 Our study found the prevalence of CKD stage 3 was 4.2 % and stage 4 was 0.4 %, this prevalence rate was similar with the prevalence of CKD in the general population in Saudi Arabia and some other countries.36,37 Another Dutch study that included showed that CKD stage 3 among diabetic participants was 17.1% and CKD stage 4 was 0.4%, the difference in the CKD stage 3 prevalence might be because the Dutch study included patients above the age of 25.38 Micro-albuminuria and macro-albuminuria prevalence rates in our study also matched the results reported in a couple of studies with a similar population sample.39,40 CKD prevalence rates in Saudi Arabia is correlated with other countries in different parts of the world, which indicate the significance of following the international guidelines in screening for CKD. In agreement with a similar recent study done in the UK, the 10-g monofilament test underestimated the prevalence of DPN as compared to the gold standard test.31 However, our study showed that non- invasive point of care devices such as DPN-check and Sudoscan overestimated the prevalence of DPN compared to our gold standard test. On the other hand, the UK study showed that both DPN-check and Sudoscan prevalence rates of DPN matched their gold standard test results.31 The UK study used Toronto Clinical Neuropathy Score (TCNS) as their gold standard test, the TCNS reliability and validity perfectly correlate with our gold standard test the NDS.41 Other studies showed different sensitivity and specificity for both DPN-check and Sudoscan than what we found in our study.25,27,31 We believe that more research is needed to clarify the sensitivity and specificity of DPN-check and Sudoscan.

Conclusion

It is feasible to have a one stop clinic service that combines retinopathy, nephropathy, and neuropathy screening. The one stop screening clinic showed prevalence rates of retinopathy, nephropathy, and neuropathy similar to those found in other studies done nationally and internationally. Thus, the one stop clinic approach can detect microvascular disease, it is highly accepted, and reduces clinical visits. Therefore, applying a one stop microvascular screening clinic in the diabetes care centers in Saudi Arabia could be very effective for early diagnosis of diabetes microvascular complications. Finally, more research should study the cost effectiveness of using non-invasive point of care devices for assessing both large and small nerve fibers for diagnosing DPN.

Acknowledgments

None.

Conflicts of interest

The authors declare that there are no conflicts of interest.

Funding

None.

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