scholarly journals Correlation of dry eye status with the duration of diabetes and the severity of diabetic retinopathy in type 2 diabetes mellitus patients

2019 ◽  
Vol 5 (1) ◽  
pp. 12-15
Author(s):  
Pooja H.V ◽  
◽  
Subrahmanya Bhat K ◽  
H T T Venkate Gowda ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Dry Eye ◽  
Duration Of Diabetes

STUDY OF LIPOPROTEIN(A) IN TYPE 2 DIABETIC SUBJECTS AND ITS RELATIONSHIP TO DIABETIC MICROVASCULAR COMPLICATIONS AT MMCH, MADHUBANI, BIHAR

2021 ◽  
pp. 18-20
Author(s):  
Dilip Kumar Sah ◽  
Ajay Kumar Lal Das ◽  
Debarshi Jana
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Diabetic Nephropathy ◽  
Vascular Complications ◽  
Lipoprotein A ◽  
Duration Of Diabetes ◽  
The Relationship

AIM: To estimate the level of serum lipoprotein (a) [Lp (a)] in type 2 diabetes mellitus patients and to determine the relationship between Lp(a) in type 2 diabetes mellitus patients and micro-vascular complications. METHODS: A cross sectional study was performed that enrolled 144 subjects with type 2 diabetes mellitus above the age of 25 years attending outpatient Department of Medicine, Madhubani Medical College & Hospital, Madhubani, Bihar. Lp(a) levels were measured quantitatively in venous samples using Turbidimetric Immunoassay in all subjects. Each patient was evaluated for micro vascular complications, namely diabetic retinopathy, nephropathy and neuropathy. The relationship between Lp(a) levels and the micro vascular complications was assessed by univariate analysis. RESULTS: Mean age of cases was 53.93 ± 10.74 years with a male to female ratio of 1.3:1. Mean duration of diabetes was 9.53 ± 7.3 years. Abnormal Lp(a) levels (≥ 30 mg/dL) were observed in 38 (26.4%) diabetic subjects. Seventy-eight (54.16%) cases had diabetic nephropathy and signicantly higher Lp(a) levels were found among these cases [Median 28.2 mg/dL(Interquartile range; IQR 24.4-33.5) vs 19.3 mg/dL(IQR 14.7- 23.5); P< 0.05]. Retinopathy was present among 66 (45.13%) cases and peripheral neuropathy was detected among 54 (37.5%) cases. However, Lp(a) levels were not signicantly different among those with or without retinopathy and neuropathy. Positive correlation was found between higher Lp(a) levels and duration of diabetes (r = 0.165, P< 0.05) but not with HbA1c values (r = – 0.083). CONCLUSION: Abnormal Lp(a) levels were found among 26.4% of diabetic subjects. Patients with diabetic nephropathy had higher Lp(a) levels. No association was found between Lp(a) levels and diabetic retinopathy or neuropathy. Longer duration of diabetes correlated with higher Lp(a) levels.

scholarly journals LIPOPROTEIN(A) IN TYPE 2 DIABETIC SUBJECTS AND ITS RELATIONSHIP TO DIABETIC MICROVASCULAR COMPLICATIONS

2020 ◽  
pp. 1-3
Author(s):  
Birendra Kumar ◽  
Krishna Prasad ◽  
Pankaj Mohan Shrivastava ◽  
Debarshi Jana
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Diabetic Nephropathy ◽  
Vascular Complications ◽  
Lipoprotein A ◽  
Duration Of Diabetes ◽  
The Relationship

AIM: To estimate the level of serum lipoprotein (a) [Lp (a)] in type 2 diabetes mellitus patients and to determine the relationship between Lp(a) in type 2 diabetes mellitus patients and micro-vascular complications. METHODS: A cross sectional study was performed that enrolled 144 subjects with type 2 diabetes mellitus above the age of 25 years attending outpatient Department of Medicine, JannayakKarpuri Thakur Medical College & Hospital, Medhura, Bihar. Lp(a) levels were measured quantitatively in venous samples using Turbidimetric Immunoassay in all subjects. Each patient was evaluated for micro vascular complications, namely diabetic retinopathy, nephropathy and neuropathy. The relationship between Lp(a) levels and the micro vascular complications was assessed by univariate analysis. RESULTS: Mean age of cases was 53.93 ± 10.74 years with a male to female ratio of 1.3:1. Mean duration of diabetes was 9.53 ± 7.3 years. Abnormal Lp(a) levels (≥ 30 mg/dL) were observed in 38 (26.4%) diabetic subjects. Seventy-eight (54.16%) cases had diabetic nephropathy and significantly higher Lp(a) levels were found among these cases [Median 28.2 mg/dL (Interquartile range; IQR 24.4-33.5) vs 19.3 mg/dL (IQR 14.7-23.5); P< 0.05]. Retinopathy was present among 66 (45.13%) cases and peripheral neuropathy was detected among 54 (37.5%) cases. However, Lp(a) levels were not significantly different among those with or without retinopathy and neuropathy. Positive correlation was found between higher Lp(a) levels and duration of diabetes (r = 0.165, P < 0.05) but not with HbA1c values (r = – 0.083). CONCLUSION: Abnormal Lp(a) levels were found among 26.4% of diabetic subjects. Patients with diabetic nephropathy had higher Lp(a) levels. No association was found between Lp(a) levels and diabetic retinopathy or neuropathy. Longer duration of diabetes correlated with higher Lp(a) levels.

scholarly journals Prevalence of diabetic retinopathy in type 2 diabetes mellitus patients attending medicine out-patient department of a tertiary care hospital in Alappuzha, Kerala, India

2017 ◽  
Vol 5 (4) ◽  
pp. 1532 ◽  
Author(s):  
Koushiki Mani ◽  
Rose Davy C.
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Age At Onset ◽  
Proliferative Retinopathy ◽  
Duration Of Diabetes ◽  
Onset Of Diabetes ◽  
Patient Department

Background: Diabetic retinopathy is a microvascular complication affecting the eyes of both Type 1 and Type 2 diabetes mellitus due to long-term hyperglycaemia. Diabetic retinopathy is the leading cause of blindness among working aged adults around the world. There are various factors leading to the development of diabetic retinopathy namely duration of diabetes, glycaemic control, age at onset of diabetes, uncontrolled hypertension. This is a hospital based cross-sectional study which aimed to study the prevalence of diabetic retinopathy in type 2 diabetes mellitus patients attending Medicine out-patient department of Government T. D. Medical College, Alappuzha, Kerala, India. The factors contributing to the development of retinopathy was also studied.Methods: 200 already diagnosed type 2 diabetic subjects were included in the study. Subjects were explained about the study and once the consent was received, data regarding age, gender, age at onset of diabetes, duration of diabetes, history of smoking, alcohol intake, and socio-economic status was documented. Height and weight was measured. Blood pressure was recorded with mercury sphygmomanometer. Then the subjects were evaluated for diabetic retinopathy by fundus examination after dilating the eyes. Findings were noted and subjects were categorized as no retinopathy, nonproliferative and proliferative diabetic retinopathy using the ETDRS classification.Results: In present study, out of 200 subjects, 63 subjects (31.5%) were affected with diabetic retinopathy (non-proliferative retinopathy=22.5%, proliferative retinopathy=9%). Prevalence of mild, moderate and severe non-proliferative retinopathy was 7.5% each. Significant association was found between diabetic retinopathy and duration of diabetes.Conclusions: Therefore, periodic screening of diabetic patients should be carried out for early detection and prevention of loss of vision.

Angiopoietin 1 in patients with type 2 diabetes mellitus and diabetic retinopathy

2015 ◽  
Author(s):  
Sattar El-Deeb Abd El ◽  
Mohamed Halawa ◽  
Ahmed Saad ◽  
Inas Sabry ◽  
Maram Mahdy ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Angiopoietin 1

Relationship between diabetic retinopathy and cerebral perfusion in type 2 diabetes mellitus

2018 ◽  
Vol 71 (1) ◽  
pp. 49-53
Author(s):  
N. Zherdiova ◽  
◽  
N. Medvedovska ◽  
B Mankovsky ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Cerebral Perfusion

scholarly journals Metabolomics-based multidimensional network biomarkers for diabetic retinopathy identification in patients with type 2 diabetes mellitus

2021 ◽  
Vol 9 (1) ◽  
pp. e001443
Author(s):  
Jingjing Zuo ◽  
Yuan Lan ◽  
Honglin Hu ◽  
Xiangqing Hou ◽  
Jushuang Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Permutation Test ◽  
Linear Regression Models ◽  
Characteristic Analysis ◽  
Network Biomarkers ◽  
Validation Set

IntroductionDespite advances in diabetic retinopathy (DR) medications, early identification is vitally important for DR administration and remains a major challenge. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) based on a widely targeted metabolomics approach to detect DR among patients with type 2 diabetes mellitus (T2DM) efficiently.Research design and methodsIn this propensity score matching-based case-control study, we used ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry system for serum metabolites assessment of 69 pairs of patients with T2DM with DR (cases) and without DR (controls). Comprehensive analysis, including principal component analysis, orthogonal partial least squares discriminant analysis, generalized linear regression models and a 1000-times permutation test on metabolomics characteristics were conducted to detect candidate MDNBs depending on the discovery set. Receiver operating characteristic analysis was applied for the validation of capability and feasibility of MDNBs based on a separate validation set.ResultsWe detected 613 features (318 in positive and 295 in negative ESI modes) in which 63 metabolites were highly relevant to the presence of DR. A panel of MDNBs containing linoleic acid, nicotinuric acid, ornithine and phenylacetylglutamine was determined based on the discovery set. Depending on the separate validation set, the area under the curve (95% CI), sensitivity and specificity of this MDNBs system were 0.92 (0.84 to 1.0), 96% and 78%, respectively.ConclusionsThis study demonstrates that metabolomics-based MDNBs are associated with the presence of DR and capable of distinguishing DR from T2DM efficiently. Our data also provide new insights into the mechanisms of DR and the potential value for new treatment targets development. Additional studies are needed to confirm our findings.

scholarly journals Adherence to medication among Tunisian adults with type 2 diabetes

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Amara ◽  
R Ghammem ◽  
N Zammit ◽  
S BenFredj ◽  
J Maatoug ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
University Hospital ◽  
Health Concern ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Adherence To Medication

Abstract Introduction Diabetes mellitus is a growing public health concern. Despite compelling evidence about the effectiveness of medications, studies have indicated that less than 50% of patients achieved therapeutic targets. The aim of this study was to assess the adherence to type 2 diabetes mellitus treatment and its determinants. Methods A cross-sectional study was conducted between April and June 2017 in the Endocrinology and internal medicine departments of Farhat Hached University Hospital in Sousse, Tunisia. A convenient sample of patients who fulfilled the eligibility criteria was recruited. A pre-tested questionnaire was used to gather information. This was followed by assessing patients' adherence to diabetes medications using the eight-item Morisky Medication Adherence Scale (MMAS-8). Results A total of 330 patients with Type 2 Diabetes Mellitus participated in this study. The mean ±SD age of patients was 58.96±10.3 with female predominance (60.3%). More than half of participants were with high cardiovascular risk. In most cases (70.6 %), participants were moderate adherent. Results showed that patients become non-adherent as the disease gets older (p = 0.001). In addition patients with health insurance were significantly more adherent comparing to those who did not have it (p = 0.01). Regarding self-care practices and other metabolic risk factors' effects, our data revealed that exercising 30 minutes below than 5 times in week and poor self-management of diet were associated with low adherence (p &lt; 10-3). On the other hand, patients who have started insulin therapy were less adherent than those who had not yet (0.01). Patients with diabetic retinopathy or maculopathy were significantly more prone to be non- adherent, with respective percentage of 39.1% and 37.5%. Conclusions This study provides insights into the determinants of non-adherence, ultimately guiding the effective interventions through development of structured long-term policies not yet implemented. Key messages In most cases (70.6 %), participants were moderate adherent. Patients with diabetic retinopathy or maculopathy were significantly more prone to be non- adherent.

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