International Journal of Chronic Diseases
Volume 2014 (2014), Article ID 201423, 7 pages
http://dx.doi.org/10.1155/2014/201423

Research Article

Microvascular Complications and Their Associated Risk Factors in Newly Diagnosed Type 2 Diabetes Mellitus Patients

Dipika Bansal,¹ Kapil Gudala,¹ Hari Prasad Esam,¹ Ramya Nayakallu,¹ Raja Vikram Vyamusani,¹ and Anil Bhansali²

¹Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Mohali 160062, India
²Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh 160062, India

Received 18 July 2014; Revised 12 November 2014; Accepted 13 November 2014; Published 30 November 2014

Academic Editor: Jens Klotsche

Copyright © 2014 Dipika Bansal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

The study was aimed at assessing the prevalence of microvascular complications and associated risk factors in newly diagnosed type 2 diabetes mellitus patients. A cross-sectional study was conducted in a public tertiary care hospital. All the recruited patients underwent extensive examination for the presence of microvascular complications like neuropathy, retinopathy, and nephropathy. Prevalence of any complication was 18.04%. Prevalence of neuropathy, retinopathy, and nephropathy was found to be 8.2%, 9.5%, and 2.8%, respectively. Triglycerides (OR, 1.01; ) and old age (OR, 1.06; ) were significantly associated with any complication. Triglycerides were significantly associated with neuropathy (OR, 1.01; ) and retinopathy (OR, 1.01; ). Being male posed high risk for nephropathy (OR, 0.06; ). These results are suggesting need of regular screening for microvascular complications.

1. Introduction

Type 2 diabetes mellitus (T2DM) has become a global burden; about 382 million people are diagnosed with diabetes mellitus (DM) with an annual prevalence of 8.2% [1]. India is the second largest country in terms of DM burden with 65.1 million diagnosed cases [1].

T2DM is characterized by an asymptomatic phase between the actual onset of diabetic hyperglycemia and clinical diagnosis. The onset of T2DM is usually subtle and many years may elapse before diagnosis. This asymptomatic phase is estimated to last at least 4–7 years and consequently 30–50% patients may remain undiagnosed [2]. This becomes more imperative because of limited health resources and inadequate budget allocation to health. T2DM may actually be detected at the time of diagnosis of its complications. Microvascular complications from T2DM are common and evidence shows that early detection and identification of risk factors for retinopathy, nephropathy, and neuropathy may delay or prevent the progression towards blindness, end-stage renal disease, and diabetic foot ulcers, respectively [3]. Long-standing untreated hyperglycemia is responsible for the relatively high prevalence of microvascular complications in newly diagnosed diabetes mellitus (NDDM) patients [2]. Presence of microvascular complications at the time of T2DM diagnosis are showing increasing trend in India.

It is apparent that evidence on prevalence of T2DM related complications is essential for the adjustment of policies and practices in diabetic care management. Screening for microvascular complications in NDDM patients will have important implications for understanding the need of vigorous screening, effective prevention, and management of T2DM as well as reduced healthcare expenditure.

Present study is aimed at assessing the prevalence and risk factors of microvascular complications in NDDM patients of a public tertiary care hospital in India.

2. Materials and Methods

2.1. Study Design and Setting

A prospective, cross-sectional, single centre, interview based study was conducted between July 2011 and June 2013 in the endocrinology outpatient department of a public tertiary care hospital located in Chandigarh, India. The study was initiated after obtaining approval from the Institute Ethical Committee (IEC, PGIMER, Chandigarh, India).

2.2. Subject Recruitment

Consecutive outpatient cards were screened to recruit eligible subjects. Subjects of either gender newly diagnosed with T2DM (≤6 months of duration) [4] as per American Diabetes Association (ADA) guidelines (random plasma glucose > 200 mg/dL or fasting blood sugar > 126 mg/dL or HbA1c ≥ 6.5) [5] and willing to give prior informed consent were included in the study. All NDDM subjects were required to undergo an extensive medical examination for the assessment of microvascular complications.

2.3. Variables and Data Sources

Anthropometric measurements including weight, height (using stadiometer), body mass index (BMI; kg/m²), and waist circumference (using inelastic and flexible tape at the midpoint between the lower margin of the least palpable rib and top of the iliac crest nearest to 0.1 cm) were carried out at the time of recruitment. Information about socioeconomic and lifestyle characteristics (smoking and alcohol consumption) was obtained through patient interview at the time of recruitment. Modified Kuppuswamy’s scale [6] which includes the educational qualification, occupation, and monthly family income of the subject was used to assess the socioeconomic status. Clinical systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels, serum lipids, blood glucose and glycated hemoglobin (HbA1c), and hepatic and renal function levels were extracted from available clinical records (in the previous 3 months).

Blood pressure was measured in the sitting position in right arm to the nearest 2 mmHg with a mercury sphygmomanometer (Diamond Deluxe BP apparatus, BP Instruments, Pune, India), and the participants were considered to be hypertensive if they were taking antihypertensive medication (as documented in clinic records) or SBP ≥ 140 mmHg or DBP ≥ 90 mmHg. HbA1c was measured using the Variant machine (Bio-Rad Laboratories, Hercules, CA, USA). Serum cholesterol (cholesterol esterase oxidase-peroxidase-amidopyrine method), serum triglycerides (glycerol phosphate oxidase-peroxidase-amidopyrine method), and high density lipoprotein cholesterol (direct method polyethylene-glycol-pretreated enzymes) were measured using the Beckman Coulter AU 2700/480 Autoanalyser (Beckman AU (Olympus), Ireland).

2.4. Microvascular Complications

Assessment of neuropathy was done using 10 gm Von Frey monofilament (VMF), pinprick sensations, ankle reflexes, and vibration perception threshold (VPT). 10 gm VMF was located perpendicular to the skin and pressure was applied until the filament just bends with a contact time of 2 seconds. Inability to comprehend the sensation at any site was considered abnormal. In addition, presence or absence of ankle reflex was checked using percussion hammer. Then quantification of neuropathy was done by biothesiometer (Dhansai Laboratories, Mumbai, India); it was measured at five different locations of feet (distal plantar surface and metatarsals) of both legs. The voltage was slowly increased at the rate of 1 millivolt per second (mV/sec) until subject indicated that he or she has felt the first vibration sense. The mean value of five measurements of both legs was calculated and considered for analysis. Neuropathy was considered to be mild if the VPT reading was found between 20 and 24 mV, moderate (25–39 mV), and severe (>39 mV) [7]. Initially, each diabetic patient was confirmed by the physician to have DPN if diagnosed with one or more abnormal finding of 10 gram VMF, pinprick sensations, and ankle reflexes. Thereafter, the patient underwent VPT testing to categorize them according to the severity level of DPN.

The diagnosis of retinopathy was confirmed from clinical records (if already documented) or sent for extensive ophthalmologic examination that included fundoscopy or retinal photography and measurement of visual acuity, performed by an ophthalmologist. They were classified into proliferative diabetic retinopathy (PDR) or nonproliferative diabetic retinopathy (NPDR) accordingly [8].

The diagnosis of nephropathy was confirmed by estimating 24 hours urine protein excretion of more than 500 mg/day [9].

2.5. Statistical Analysis

Data was presented as mean and standard deviation (SD) or median with interquartile range and numbers with percentages. Data was analyzed using either two-sample independent student -test or Mann-Whitney test and tests. The variables like age, gender, BMI, smoking status, alcoholic status, and biochemical parameters were considered as risk factors. Multivariate logistic regression was performed to estimate odds ratios (OR) for assessing the risk factors associated with presence of microvascular complications with 95% confidence interval (CI). Two-tailed value of less than 0.05 was considered as significant. Prescribing pattern of different antidiabetic drugs was also reported in the form of percentages. All the analyses were carried out using SPSS version 14 (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Patient Characteristics

A total of 449 NDDM subjects were included in the study. Among them were 206 (46%) males and 243 (54%) females with mean age of 50.4 ± 10.3 years and median duration of diabetes of 2.4 (0.96–4.8) months. A total of 81 (18.04%) patients were found to have at least one microvascular complication and none had any history of macrovascular complication. Table 1 shows clinical and biochemical characteristics based on the presence of microvascular complications. Subjects with microvascular complications were older () and were having significantly () higher HbA1c values. Higher triglyceride () levels were also observed in subjects with microvascular complications.

Table 1: Clinical and biochemical characteristics of patients with newly diagnosed diabetes mellitus ( = 449).

Variables
No microvascular complication ( = 368)
Any one of the three complications ( = 81)
value

Age
49.3 ± 10.2
56.0 ± 8.9
<0.0001a

Duration of diabetes (years)
0.2 (0.1–0.4)
0.16 (0.1–0.3)
0.211b

Gender n (%) male
173 (47)
33 (41)
0.326c

Gender n (%) female
195 (53)
48 (59)

BMI (Kg/m²)
27.4 ± 5.2
27.2 ± 4.5
0.748a

Waist circumference (cm)
96.5 ± 13.1
96.9 ± 12.9
0.803a

Hypertension n (%)
196 (53)
35 (43)
0.112c

TC (mg/dL)
200 ± 53
193 ± 58
0.313a

LDL C (mg/dL)
117 ± 37
110 ± 43
0.158a

HDL C (mg/dL)
42 ± 10
42 ± 8
0.724a

TG (mg/dL)
103 (37–165)
150 (92–198)
0.005b

HbA1c
8.2 ± 2.3
9.1 ± 2.5
0.001a

Serum creatinine
0.8 (0.7–0.9)
0.8 (0.7–0.9)
0.122b

Smoking (%)
48 (13)
7 (9)
0.364c

Alcohol (%)
69 (19)
10 (12)
0.226c

Socioeconomic status

    Upper (%)
45 (12)
9 (11)
0.235c

    Middle (%)
250 (68)
49 (61)

    Lower (%)
73 (20)
23 (28)

*Expressed as mean ± standard deviation and median interquartile range. aAnalyzed using independent sample test, banalyzed using Mann-Whitney test, and canalyzed using chi-square test; TC: total cholesterol, LDL-C: low density lipoprotein cholesterol, HDL-C: high density lipoprotein cholesterol, TGs: triglycerides, and HbA1c: glycated hemoglobin.

In Figure 1 prevalence of microvascular complications is presented. The prevalence of any microvascular complication was 18.04% (95% CI, 14.4–21.6). Neuropathy was found to be 8.2% (95% CI, 5.6–10.7), retinopathy was 9.5% (95% CI, 6.8–12.3), and nephropathy was 2.8% (95% CI, 1.3–4.4). Vibration perception threshold revealed that 4.7% (95% CI, 3–7) were having mild neuropathy, 2.4% (95% CI, 1.3–4.3) were having moderate neuropathy, and 1.1 (95% CI, 0.4–2.5) were having severe neuropathy. Among patients of retinopathy, 5.8% (95% CI, 3.9–8.3) were having NPDR and 3.8% (95% CI, 2.3–5.9) were having PDR.

Figure 1: Prevalence of microvascular complications in newly diagnosed diabetes mellitus patients ().

Table 2 summarises the risk factors for presence of microvascular complications. The risk factors for having at least one microvascular complication were found to be age (OR, 1.06; 95% CI, 1.03–1.08, ), HbA1c (OR, 1.24; 95% CI 1.12–1.37, ), and triglycerides (OR, 1.01; 95% CI, 1.00–1.02, ).

Table 2: Risk factors for microvascular complications in patients with newly detected diabetes mellitus.

Risk factor
Any microvascular complication
Neuropathy
NPDR
PDR
Nephropathy

Odds ratio (95% CI)
value
Odds ratio (95% CI)
value
Odds ratio (95% CI)
value
Odds ratio (95% CI)
value
Odds ratio (95% CI)
value

Age
1.06 (1.03–1.08)
<
1.08 (1.04–1.12)
<
1.02 (0.99–1.06)
0.172
1.00 (0.95–1.05)
0.851
1.00 (0.95–1.06)
0.816

Female gender
1.17 (0.71–1.93)
0.518
1.36 (0.67–2.77)
0.383
0.99 (0.45–2.21)
0.993
2.85 (0.91–8.89)
0.070
0.06 (0.01–0.51)

BMI
0.99 (0.94–1.04)
0.746
0.98 (0.91–1.05)
0.621
0.97 (0.89–1.05)
0.490
1.05 (0.96–1.15)
0.279
0.99 (0.89–1.10)
0.910

SBP
1.01 (0.98–1.02)
0.623
0.98 (0.96–1.01)
0.379
1.01 (0.99–1.03)
0.224
1.01 (0.97–1.03)
0.834
1.01 (0.98–1.04)
0.470

HbA1c
1.24 (1.12–1.37)

1.01 (0.84–1.2)
0.897
1.33 (1.16–1.53)

1.88 (1.13–2.34)

0.92 (0.70–1.22)
0.593

Total cholesterol
0.99 (0.98–1.01)
0.489
0.98 (0.97–0.99)
0.013
1.00 (0.99–1.01)
0.254
1.00 (0.99–1.01)
0.864
1.00 (0.99–1.01)
0.607

LDL
0.99 (0.98–1.01)
0.483
0.98 (0.97–0.99)
0.011
1.00 (0.99–1.01)
0.393
1.00 (0.99–1.01)
0.486
1.00 (0.99–1.02)
0.327

HDL
0.99 (0.96–1.02)
0.681
0.99 (0.94–1.04)
0.728
0.98 (0.93–1.02)
0.408
1.01 (0.95–1.07)
0.697
0.99 (0.92–1.06)
0.882

TG
1.01 (1.00–1.02)

1.01 (1.0–1.02)

1.01 (1.00–1.02)

0.99 (0.98–1.01)
0.764
1.01 (1.00–1.02)

Serum creatinine
0.91 (0.54–1.55)
0.753
0.78 (0.27–2.27)
0.659
0.26 (0.08–0.84)
0.024
0.73 (0.20–2.70)
0.643
1.55 (1.26–2.59)

Smoking
0.73 (0.33–1.59)
0.434
0.89 (0.32–2.46)
0.825
0.89 (0.25–3.09)
0.854
0.42 (0.05–3.25)
0.408
1.27 (0.27–5.93)
0.761

Alcohol
0.56 (0.27–1.15)
0.118
1.02 (0.42–2.46)
0.962
0.17 (0.02–1.31)
0.091
0.67 (0.33–2.84)
0.853
0.82 (0.18–3.80)
0.805

Statistically significant; the odds ratio for each variable or factors was adjusted for risk factors like age, HbA1c, PPG, HDL, BMI, LDL, TC, smoking, and alcohol status; TC: total cholesterol, LDL-C: low density lipoprotein cholesterol, HDL-C: high density lipoprotein cholesterol, TGs: triglycerides, HbA1c: glycated hemoglobin, NPDR: nonproliferative diabetic retinopathy, and PDR: proliferative diabetic retinopathy.

Age (OR, 1.08; CI, 1.04–1.12; ) and triglycerides (OR, 1.01; CI, 1.00–1.05; ) were found to be risk factors for neuropathy. While retinopathy was classified into NPDR and PDR, NPDR was found to be associated with HbA1c (OR, 1.33; CI, 1.16–1.53; ) and triglycerides (OR, 1.01; CI, 1.00–1.02; ). PDR was significantly associated with only HbA1c (OR, 1.88; CI 1.13–2.34; ). Female gender (OR, 0.06; CI, 0.01–0.51; ) is negatively associated with nephropathy whereas higher levels of triglycerides (OR, 1.01; CI, 1.00–1.02; ) and serum creatinine (OR, 1.55; CI, 1.26–2.59; ) were positively associated with nephropathy (Table 2). Nephropathy was found to be dependent on retinopathy (OR, 9.2; CI, 2.9–28.9; ) (data not shown in table).

Prescribing pattern of antidiabetic medication and medication for other comorbidities is presented in Table 3. In NDDM patients biguanides (74%) were the most commonly prescribed antidiabetic drugs both as monotherapy 39% (175) and as polytherapy 35% (158) followed by sulfonylureas 39% (176), insulin 37% (167), and thiazolidinediones 6% (29).

Table 3: Prescribing pattern of antihyperglycemic and concurrent medication in patients with newly diagnosed diabetes mellitus ( = 449).

Class of antidiabetic medication
Percentage prescribed (%)

Biguanides
333 (74)

Sulfonylureas
175 (39)

Thiazolidinediones
29 (6)

Insulin
167 (37)

Antihypertensives
176 (39)

Antiplatelets
29 (6)

Lipid lowering
47 (10)

Combination

    Insulin alone
47 (11)

    Insulin + OHA
120 (27)

    OHA
359 (80)

    OHA monotherapy
196 (44)

    Biguanides
175 (39)

    Sulfonylureas
21 (5)

    OHA dual therapy
147 (33)

    Biguanides + sulfonylureas
133 (30)

    Biguanides + thiazolidinediones
8 (2)

    Sulfonylureas + thiazolidinediones
5 (1)

    OHA polytherapy
16 (4)

    Sulfonylureas + biguanides +
   thiazolidinediones
16 (4)

OHA: oral hypoglycemic agents.

Overall, 80% (359) of patients were prescribed one or more oral hypoglycemic agents (OHA) while 37% (167) were prescribed insulin alone or in combination with OHA. Among them, 11% (47) of patients received only insulin while 27% (120) received insulin in combination with OHA. Further, 44% (196) were prescribed OHA monotherapy, 33% (147) were prescribed dual therapy, and 4% (16) were prescribed poly-OHA therapy. Biguanides were given in combination with sulfonylureas in 133 (30%) patients, followed by biguanides and thiazolidinediones in 8 (2%) and sulfonylureas and thiazolidinediones in 5 (1%) NDDM patients. 176 (39%) patients were prescribed with antihypertensives and 29 (6%) were prescribed with antiplatelet and 47 (10%) of subjects with lipid lowering drugs.

4. Discussion

T2DM is a complex disease, associated with long preclinical asymptomatic phase during which patients get exposed to long-standing persistent hyperglycemia before they are clinically diagnosed. This time lag between the onset of T2DM and clinical diagnosis results in the development of chronic micro- and macrovascular complications [2, 10]. In this study, we assessed the prevalence of microvascular complications in 449 NDDM patients and found 18.04% presented with at least one microvascular complication. Harris et al. showed that the onset of newly diagnosed T2DM probably occurs even earlier than 4–7 yr before clinical diagnosis [2, 10]. Based on our study results this proposition might be higher in developing country like India.

Similar cross-sectional studies have been done in India reporting prevalence rates ranging from 13 to 30% [11–14]. Raman et al. studied 248 newly diagnosed T2DM patients and reported a prevalence of 30.2% in south Indian population [11]. Studies by Patel et al. and Dutta et al. reported a prevalence rate of about 30% [12, 13]. The present study has reported low prevalence rates when compared to abovementioned studies. However, our study results are similar to a recently published multicentre observational study from India conducted by Sosale et al. who reported 13.15% of neuropathy, 6.1% of retinopathy, and 1.06% of nephropathy [14].

This variability in the prevalence may be due to difference in age at T2DM diagnosis, sample size, existing diagnostic facilities, and/or variable diagnostic criteria [15] followed by the studies.

Study conducted by Raman et al. used vibration perception threshold as the sole diagnostic measure for the assessment of neuropathy which might overestimate the prevalence of neuropathy [11]. Small sample size of studies by Azura et al. (), Raman et al. (), Dutta et al. (), and Patel et al. () renders high chance of bias [11–13, 15]. This study also revealed that about 43% of subjects suffer from moderate to severe neuropathy which need immediate attention as they are at high risk of foot infection and amputation. Higher prevalence of retinopathy (9.5%) was also observed in the present study, which is higher than the prevalence observed in other studies conducted in India, Sosale et al. [14] and Raman et al. [11], and European study by de Fine Olivarius et al. (5%) [16]. Retinopathy is a common complication of diabetes and is usually the first observable vascular condition specific to diabetes. Untreated hyperglycemia may be one of the reasons for high prevalence of retinopathy in newly diagnosed T2DM subjects [10]. Relatively low prevalence of nephropathy was found (2.8%), as observed by Khazai et al. (3%) [17] and contrary to the results of Raman et al. [11], who has shown higher prevalence (10.5%). It is difficult to identify the reasons for such variation in prevalence rates among various populations but ethnic susceptibility, age, method of detecting diabetic complications, healthcare facilities, and other risk factors could have contributed to the differences.

Higher mean levels of HbA1c were observed in the present study, as the data was taken at the point of diagnosis of T2DM and the patients were newly initiated with the therapy that needs optimum time to show its effect on HbA1c levels. Present study findings suggest that advancing age, higher HbA1c, and triglyceride levels were risk factors for presence microvascular complications.

Various study findings also reported that microvascular complications increase with advancing age [18–20]. Similar cross-sectional studies by Kumar et al. found the relationship between triglycerides and presence of microvascular complications [21]. Aging and triglyceride levels were identified as independent risk factors for neuropathy. A randomized control clinical trial by Wiggin et al. [22] and few cross-sectional studies also reported similar relationship between triglycerides and neuropathy as shown in our study results [23, 24]. The relationship between triglycerides and neuropathy was first correlated in 1971; after that very few studies have shown the positive relation between triglycerides and neuropathy. The exact underlying mechanism behind the progression of neuropathy in relation to elevated triglycerides is yet to be clarified, but it may be due to dysregulation of lipid metabolism in sensory and motor neurons [22].

According to our findings, retinopathy and nephropathy were strongly correlated with each other similar to previous studies [25–28]. This finding may be helpful in adopting clinical significance of retinopathy as a strong predictor of nephropathy. Triglycerides were shown as risk factors in the present study, which strengthen the evidence of existing studies [29, 30].

In this study, we found that male gender and elevated triglyceride levels were the risk factors for the development of any one of the microvascular complications. A study conducted in T2DM subjects by Alrawahi et al. in Oman has also shown positive relationship with male gender [29]. Renoprotective action of estrogens may be responsible for lower incidence rate of nephropathy in females. However, existing literature also showed that renoprotective property of estrogens decreases due to imbalance of sex hormone regulation in T2DM females [31]. On the other hand previous studies have shown higher levels of triglycerides in diabetic nephropathy subjects [32–34]. Thus, it is also postulated that lipid induced renal injury may occur by stimulating TGF-β (transforming growth factor-beta), thereby inducing the production of reactive oxygen species causing damage to the glomeruli and glomerular glycocalyx [35].

Limitations. It is a tertiary care hospital based study so the prevalence of microvascular complications may be overestimated and may not match with community based studies. The inherent advantage is that the diagnosis performed in the study was by experienced endocrinologist, neurologist, and ophthalmologist so the chance of diagnosis error is minimal.

5. Conclusions and Future Implications

The present study reconfirms that a substantial proportion of patients which had clinically significant morbidity is present at diagnosis and for years before diagnosis of diabetes and its complications. Our study showed higher prevalence of retinopathy, followed by neuropathy and nephropathy; apart from glycemic control there is a need of tight lipid management in T2DM patients as triglycerides were shown as significant risk factor for microvascular complications. This underlines the urgent need of aggressive screening for early detection of microvascular and macrovascular complications and also to prevent or retard the progression of complications. Beyond screening, educating patients regarding diabetes related complications must be started to encourage earlier medical consultation.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

L. Guariguata, D. R. Whiting, I. Hambleton, J. Beagley, U. Linnenkamp, and J. E. Shaw, “Global estimates of diabetes prevalence for 2013 and projections for 2035,” Diabetes Research and Clinical Practice, vol. 103, pp. 137–149, 2013.

M. I. Harris, R. Klein, T. A. Welborn, and M. W. Knuiman, “Onset of NIDDM occurs at least 4–7 yr before clinical diagnosis,” Diabetes Care, vol. 15, no. 7, pp. 815–819, 1992.

S. Margolis, “Diabetic microvascular complications: an overview,” Advanced Studies in Medicine, vol. 5, no. 4, pp. S260–S263, 2005.

N. Agarwal, N. S. Sengar, P. K. Jain, and R. Khare, “Nephropathy in newly diagnosed type 2 diabetics with special stress on the role of hypertension,” Journal of Association of Physicians of India, vol. 59, no. 3, pp. 145–147, 2011.

American Association of Diabetes, “Executive summary: standards of medical care in diabetes-2013,” Diabetes Care, vol. 36, pp. S4–S10, 2013.

M. Bairwa, M. Rajput, and S. Sachdeva, “Modified kuppuswamy’s socioeconomic scale: social researcher should include updated income criteria, 2012,” Indian Journal of Community Medicine, vol. 38, no. 3, pp. 185–186, 2013.

D. Bansal, K. Gudala, H. Muthyala, H. P. Esam, R. Nayakallu, and A. Bhansali, “Prevalence and risk factors of development of peripheral diabetic neuropathy in type 2 diabetes mellitus in a tertiary care setting,” Journal of Diabetes Investigation, vol. 5, no. 6, pp. 714–721, 2014.

K. Viswanath and D. D. McGavin, “Diabetic retinopathy: clinical findings and management,” Community Eye Health, vol. 16, no. 46, pp. 21–24, 2003.

T. Zelmanovitz, F. Gerchman, A. P. Balthazar, F. C. Thomazelli, J. D. Matos, and L. H. Canani, “Diabetic nephropathy,” Diabetology & Metabolic Syndrome, vol. 1, article 10, 2009.

T. A. Samuels, D. Cohen, F. L. Brancati, J. Coresh, and W. H. L. Kao, “Delayed diagnosis of incident type 2 diabetes mellitus in the ARIC study,” American Journal of Managed Care, vol. 12, no. 12, pp. 717–724, 2006.

R. Raman, A. Gupta, S. Krishna, V. Kulothungan, and T. Sharma, “Prevalence and risk factors for diabetic microvascular complications in newly diagnosed type II diabetes mellitus. Sankara nethralaya diabetic retinopathy epidemiology and molecular genetic study (SN DREAMS, report 27),” Journal of Diabetes and its Complications, vol. 26, no. 2, pp. 123–128, 2012.

Y. Patel, A. Shingare, G. Kalita, and V. Bhandari, “Clinical study of microvascular complications in newly diagnosed diabetes mellitus patients,” Indian Journal of Applied Research, vol. 4, pp. 12–14, 2014.

A. Dutta, S. Naorem, T. P. Singh, and K. Wangjam, “Prevalence of peripheral neuropathy in newly diagnosed type 2 diabetics,” International Journal of Diabetes in Developing Countries, vol. 25, pp. 30–33, 2005.

A. Sosale, K. M. P. Kumar, S. M. Sadikot et al., “Chronic complications in newly diagnosed patients with type 2 diabetes mellitus in India,” Indian Journal of Endocrinology and Metabolism, vol. 18, no. 3, pp. 355–360, 2014.

M. S. Azura, H. I. Adibah, and S. Juwita, “Risk factor of peripheral neuropathy among newly diagnosed type 2 diabetic patients in primary care clinic,” International Journal of Collaborative Research on Internal Medicine and Public Health, vol. 4, no. 11, pp. 1858–1867, 2012.

N. de Fine Olivarius, N. V. Nielsen, and A. H. Andreasen, “Diabetic retinopathy in newly diagnosed middle-aged and elderly diabetic patients. Prevalence and interrelationship with microalbuminuria and triglycerides,” Graefe's Archive for Clinical and Experimental Ophthalmology, vol. 239, no. 9, pp. 664–672, 2001.

M. H. Khazai, B. Khazai, Z. Zargaran, Z. Moosavi, and F. K. Zand, “Diabetic complications and risk factors in recently diagnosed type 2 diabetes: a case control study,” ARYA Atheroscler, vol. 2, pp. 79–83, 2006.

F. J. Del Canizo Gomez, C. Fernandez Perez, I. Moreno Ruiz, et al., “Microvascular complications and risk factors in patients with type 2 diabetes,” Endocrinología y Nutrición, vol. 58, pp. 163–168, 2011.

P. E. Wändell, “Risk factors for microvascular and macrovascular complications in men and women with type 2 diabetes,” Scandinavian Journal of Primary Health Care, vol. 17, no. 2, pp. 116–121, 1999.

S. Ashok, M. Ramu, R. Deepa, and V. Mohan, “Prevalence of neuropathy in type 2 diabetic patients attending a diabetes centre in South India,” Journal of Association of Physicians of India, vol. 50, no. 4, pp. 546–550, 2002.

H. K. Kumar, S. K. Kota, A. Basile, and K. Modi, “Profile of microvascular disease in type 2 diabetes in a tertiary care hospital in India,” Annals of Medical and Health Sciences Research, vol. 2, pp. 103–108, 2012.

T. D. Wiggin, K. A. Sullivan, R. Pop-Busui, A. Amato, A. A. F. Sima, and E. L. Feldman, “Elevated triglycerides correlate with progression of diabetic neuropathy,” Diabetes, vol. 58, no. 7, pp. 1634–1640, 2009.

N. K. Subbalaxmi, K. N. S. Rao, P. M. R. Adhikari, and S. R. Pai, “Influence of dyslipidemia on somatic neuropathy in type 2 diabetes mellitus,” Nitte University Journal of Health Science, vol. 3, pp. 25–30, 2013.

R. Shankar, M. Shashikiram, M. Gopalraj, and E. N. Ratnabai, “Assessment of serum triglycerides among diabetic patients with peripheral neuropathy,” Journal of Medical Research and Practice, vol. 1, pp. 68–72, 2012.

M. Mociran, C. Kragose, and N. Hancu, “Risk factors and diabetic retinopathy in maramures,” Applied Medical Informatics, vol. 24, pp. 47–52, 2009.

A. M. Abu El-Asrar, K. A. Al-Rubeaan, S. A. Al-Amro, O. A. Moharram, and D. Kangave, “Retinopathy as a predictor of other diabetic complications,” International Ophthalmology, vol. 24, no. 1, pp. 1–11, 2001.

K. Al-Rubeaan, A. M. Youssef, S. N. Subhani et al., “Diabetic nephropathy and its risk factors in a society with a type 2 diabetes epidemic: a Saudi national diabetes registry-based study,” PLoS ONE, vol. 9, no. 2, Article ID e88956, 2014.

Z. M. da Silva Correa, A. M. Freitas, and I. M. Marcon, “Risk factors related to the severity of diabetic retionopathy,” Arquivos Brasileiros de Oftalmologia, vol. 66, pp. 739–743, 2003.

A. H. Alrawahi, S. G. A. Rizvi, D. Al-Riami, and Z. Al-Anqoodi, “Prevalence and risk factors of diabetic nephropathy in Omani type 2 diabetics in Al-Dakhiliyah region,” Oman Medical Journal, vol. 27, no. 3, pp. 212–216, 2012.

C. Maric and S. Sullivan, “Estrogens and the diabetic kidney,” Gender Medicine, vol. 5, no. 1, pp. S103–S113, 2008.

E. Manzato, S. Zambon, A. Cortella, G. Sartore, R. Nosadini, and G. Crepaldi, “Lipids and diabetic nephropathy: hypertension, microalbuminuria and lipids in type 2 diabetic patients,” Acta Diabetologica, vol. 29, no. 3-4, pp. 231–233, 1992.

F. C. Shen, C. Y. Chen, S. C. Su, and R. T. Liu, “The prevalence and risk factors of diabetic nephropathy in taiwanese type 2 diabetes a hospital based study,” Acta Nephrolagica, vol. 23, pp. 90–127, 2009.

M. Iranparvar Alamdari, N. Aminisani, B. Bhashardoost, et al., “Prevalence and risk factors of microalbuminuria in type 2 diabetic patients in a diabetic clinic of Ardabil-Iran,” International Journal of Endocrinology and Metabolism, vol. 4, pp. 8–12, 2006.

J. C. Rutledge, K. F. Ng, H. H. Aung, and D. W. Wilson, “Role of triglyceride-rich lipoproteins in diabetic nephropathy,” Nature Reviews Nephrology, vol. 6, no. 6, pp. 361–370, 2010.

I. Raz, “Guideline approach to therapy in patients with newly diagnosed type 2 diabetes,” Diabetes Care, vol. 36, no. 2, pp. S139–S144, 2013.