Independent Risk Factor For Diabetic Retinopathy Research Articles

Relationship Between the Hemoglobin, Albumin, Lymphocyte Count, Platelet Count (HALP) Score and Type 2 Diabetes Retinopathy.

To explore the correlation between hemoglobin, albumin, lymphocyte count, platelet count (HALP) score and type 2 diabetic retinopathy (DR). The study was conducted on 674 patients with type 2 diabetes (T2DM). According to the results of the fundus examination, they were divided into non-diabetic retinopathy group (NDR, n=388) and diabetic retinopathy group (DR, n=286). Collected patients baseline data, calculated HALP score, analyzed the correlation between HALP score and DR. In all patients, male patients and female patients, the HALP score of the DR group was lower than that of the NDR group (P<0.001), and the HALP score was negatively correlated with the incidence of DR (P<0.05). HALP score was independent risk factors for DR, regardless of gender. In male patients, HALP score and DR had a linear relationship, but in female patients, HALP score and DR showed a nonlinear relationship, and HALP score was more sensitive to the onset of DR in male patients. The combined diagnostic model of HALP score, course of disease, SBP and BUN was used to diagnose DR, and it was found that the diagnostic value was the highest among male patients, with AUC of 0.761, sensitivity of 58.3% and specificity of 80.3%. HALP score was an independent risk factor for DR, attention should be paid to monitoring HALP score, especially in male T2DM patients. The accuracy of HALP score, disease course, SBP and BUN combined model diagnosis of DR was high, which can become a biological indicator for early screening of DR.

The L-shape relationship between hemoglobin, albumin, lymphocyte, platelet score and the risk of diabetic retinopathy in the US population.

The primary aim of this study was to investigate the correlation between diabetic retinopathy (DR) and the HALP score (hemoglobin, albumin, lymphocyte, and platelet) in individuals with diabetes within the United States population. This cross-sectional investigation was based on the National Health and Nutrition Examination Survey (NHANES) database from 2003-2018. The following module calculated the HALP score: HALP score = [lymphocytes (/L) × hemoglobin (g/L) × albumin (g/L)]/platelets (/L). By performing the receiver operating characteristic (ROC) analysis, the optimal cutoff value of HALP was ascertained. Restricted cubic splines (RCS), multivariable logistic regression analysis, sensitivity analysis, and subgroup analysis were conducted to evaluate the effect of the HALP score on DR patients. Finally, the decision curve analysis (DCA) and clinical impact curve (CIC) were conducted to estimate the predictive power and clinical utility of the HALP score with clinical indicators. According to the cutoff value (42.9) determined by the ROC curve, the participants were stratified into a lower HALP group (HALPlow) and a higher HALP group (HALPhigh). An L-shaped relationship between HALP score and DR risk was presented in the RCS model (P for nonlinearity <0.001). The DR risk sharply decreased with the increase of HALP, and the decline reached a plateau when HALP was more than 42.9. After fully adjustment, the multivariate logistic regression analysis found that HALPlow was an independent risk factor for DR (OR = 1.363, 95% CI: 1.111-1.671, P < 0.001). Besides, sensitivity analysis showed consistent results. Furthermore, the combination of HALP score and clinical indicators demonstrated predictive power and clinical utility, as shown by the ROC curve, DCA, and CIC. The HALP score has an L-shaped correlation with the risk of DR, and thus, the HALP score may contribute to the timely intervention of diabetes patients.

Correlation Between Thyroid-Related Hormones and Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients with Normal Thyroid Function: A Retrospective Study.

To investigate the correlation between thyroid-related hormones and diabetic retinopathy (DR) in euthyroid patients with type 2 diabetes mellitus (T2DM). Patients with T2DM admitted to our hospital between January 2023 and June 2023 were retrospectively analyzed. The patients were divided into DR and non-diabetic retinopathy (NDR) groups according to whether DR occurred. Thyroid function-related hormones (TSH, FT3, and FT4), blood glucose indices (FBG and HbA1c), and blood lipid indices (HDL-C, LDL-C, TC, and TG) of the two groups were analyzed by univariate and multivariate logistic regression to explore the risk factors for DR. Pearson correlation analysis and multiple stepwise regression analysis were used to investigate the correlation of TSH or FT3 with FBG, HbA1c, and TG in DR patients. Of the 286 patients with T2DM included in this study, 101 (35.31%) developed DR and 185 (64.69%) did not. High TG, FBG, HbA1c, and TSH and low FT3 levels were independent risk factors for DR in T2DM patients. TSH positively correlated with TG, whereas FT3 negatively correlated with TG and HbA1c in T2DM patients with DR. Higher TSH and lower FT3 in T2DM patients with normal thyroid function may affect glucose and lipid metabolism, thereby increasing the risk of DR.

Correlation Between Glycolipid Metabolism Levels and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus.

We investigate the correlation between glucose and lipid metabolism and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and its diagnostic and predictive value. A retrospective analysis involved 620 patients diagnosed with T2DM, categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=340) and the diabetic retinopathy group (DR, n=280). We collected baseline patient data, calculated the ratio of glycated hemoglobin (HbA1c) to high-density lipoprotein cholesterol (HDL-C), and analyzed its association with Type 2 Diabetic Retinopathy. HbA1c/HDL-C in DR group exhibited significantly higher than the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis indicated a notable linear trend (P<0.001) between HbA1c/HDL-C and DR. HbA1c/HDL-C revealed moderate positive correlations with DR, r=0.342, P<0.001. Binary logistic regression analysis showed systolic blood pressure (SBP), diabetes course, fasting blood glucose (FBG) and HbA1c/HDL-C as independent risk factors for DR in T2DM patients. Restrictive cubic spline analysis demonstrated a significant nonlinear relationship between HbA1c/HDL-C and DR (P total trend <0.001, P nonlinear = 0.0196). ROC curve analysis identified that HbA1c/HDL-C had the highest diagnostic accuracy for DR, with an area under the ROC curve (AUC) of 0.711, 53.2% sensitivity, and 78.2% specificity. Our study shows that HbA1c/HDL-C is an independent risk factor for DR in patients with type 2 diabetes. HbA1c/HDL-C has good diagnostic value for DR and can be used as a biological index for early screening of DR.

Associations of levels of high-molecular-weight adiponectin, secreted frizzled-related protein 5 and vascular endothelial growth factor-165 with diabetic retinopathy

Abstract Background: The pathogenesis of diabetic retinopathy (DR) remains unclear. The aim of the study was to explore the associations of DR with the levels of high-molecular-weight adiponectin (HMW-ADP), secreted frizzled-related protein 5 (SFRP-5) as well as vascular endothelial growth factor-165 (VEGF165). Methods: Based on the diagnostic criteria for DR, non-DR (NDR), proliferative DR (PDR) plus non-proliferative DR (NPDR) groups were set up for type 2 diabetes mellitus (T2DM) patients (n=180) treated from January 2020 to March 2021. The control group consisted of another 60 healthy subjects undergoing physical examinations. Their clinical data were compared. Receiver operating characteristic curves were plotted to assess the predictive values of HMW-ADP, VEGF165 and SFRP-5 for DR. The predictive efficiency of the established nomogram model was assessed. Results: The differences in age, fasting plasma glucose (FPG), T2DM duration, triglyceride (TG), hypertension history, high-density lipoprotein cholesterol (HDL-C), glycosylated haemoglobin (HbA1c), serum creatinine (Scr), homeostasis model assessment of insulin resistance (HOMA-IR), urine acid (UA), SFRP-5 HMW-ADP, and VEGF165 were significant between control and DR groups (P&lt;0.05). HMW-ADP, VEGF165 and SFRP-5 had predictive values for DR (AUC&gt;0.7), and the predictive efficiency of their combination was highest. The duration of T2DM, Scr, UA and VEGF165 were independent risk factors for DR, while HMW-ADP and SFRP-5 were protective factors (P&lt;0.05). Preferable discrimination and accuracy together with clinical applicability were obtained for the nomogram prediction model. Conclusions: The three indicators as a whole have a high predictive value for DR, as potential indicators for the clinical screening of high-risk groups.

Systolic and Diastolic Blood Pressure Are Independent Risk Factors for Diabetic Retinopathy in Patients with Type 2 Diabetes.

Diabetic retinopathy (DR) is a microvascular complication of diabetes and represents the leading cause of blindness in working-age adults. The aim of this study was to investigate the risk factors for DR in patients with type 2 diabetes (T2DM) with and without diabetic nephropathy (DN). A total of 160 patients with T2DM were included in the study. Photodocumented retinopathy status was determined according to the EURODIAB protocol. Renal function was determined using creatinine-based estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). Binary univariate and multiple logistic regression analyses were performed to determine the main predictors of DR. The prevalence of DR in this studied sample was 46.3%. No significant correlation was observed between DR and age, body mass index, serum lipids, and renal function. Binary logistic regression analysis (no DR/DR) showed that longer diabetes duration (p = 0.008), poor glycemic control (HbA1c) (p = 0.008), higher systolic blood pressure (p = 0.001), and diastolic blood pressure (p = 0.003) were the main predictors of DR in patients with T2DM. However, the influence of systolic blood pressure (AOR = 1.06, p = 0.004) and diastolic blood pressure (AOR = 1.12, p = 0.007) on DR development remained significant even after adjustment for diabetes duration and HbA1c. Our results suggest that systolic and diastolic blood pressure are independent risk factors for DR in patients with T2DM.

Analysis of independent risk factors for progression of different degrees of diabetic retinopathy as well as non-diabetic retinopathy among type 2 diabetic patients.

To study the independent risk factors for development of different degrees of diabetic retinopathy (DR) as well as non-DR (NDR) among type 2 diabetic patients. This cross-sectional study included 218 patients with type 2 diabetes between January 2022 and June 2022. All the patients were divided into two groups: the DR group and the NDR group. The DR group was subdivided into the mild, moderate and severe non-proliferative DR (NPDR) group and the proliferative DR (PDR) group. Data recorded for all patients included age, gender, duration of diabetes, blood pressure, glycated hemoglobin (HbA1c), fasting blood glucose (FBG), blood lipids, best corrected visual acuity (BCVA), intraocular pressure (IOP), axial length (AL), anterior chamber depth (ACD), and renal function. Logistic regression methods were used to analyze the risk factors for DR. The prevalence of DR in type 2 diabetes was 28.44%. The duration of diabetes, age, mean arterial pressure (MAP), HbA1c, FBG, urinary albumin/creatinine ratio (UACR), BCVA, AL, and ACD were significantly different between the DR and the NDR groups (p < 0.05). Multivariate logistic regression analysis identified age, FBG, UACR, and AL as the independent risk factors for DR (OR = 0.843, 2.376, 1.049, 0.005; p = 0.034, 0.014, 0.016, p < 0.001). Young age, short AL, higher levels of FBG and UACR were the independent risk factors for the progression of DR in type 2 diabetes.

Relationship Between Estimated Glucose Disposal Rate and Type 2 Diabetic Retinopathy.

To investigate the association between diabetic retinopathy (DR), DR intensity, and estimated glucose disposal rate (eGDR) in individuals with type2diabetes mellitus (T2DM). This study comprised 1762 T2DM patients who were admitted between January and December, 2021. Overall, the DR was identified in 430 patients. Based on the eGDR, the participants were divided into four study groups. One-way analysis of variance was used to compare the groups. The correlations between eGDR and DR risk, eGDR, and DR severity were analyzed using regression analysis. Furthermore, these relationships were analyzed in different sex groups. Patients with T2DM had a 19.75% (348/1762) DR detection rate, whereas those with DR had a 22.41% (78/348) proliferative DR detection rate. The DR group had substantially reducedlevels of eGDR compared with the non-DR group. Multivariate logistic regression analysis demonstrated that reduced eGDR was an independent risk factor for DR, after adjusting forconfounding variables. eGDR correlated significantly with proliferative DR in women but not in men. In Chinese individuals with T2DM, lower eGDR was independently associated with a higher risk of DR.

The link between diabetic retinal and renal microvasculopathy is associated with dyslipidemia and upregulated circulating level of cytokines.

To investigate the mechanisms underlying the correlations between diabetic retinopathy (DR) and diabetic nephropathy (DKD) and examine whether circulating cytokines and dyslipidemia contribute to both DR and DKD in patients with 2 diabetes mellitus (T2DM). A total of 122 patients with T2DM were enrolled and categorized into the DM group (without no DR and DKD), DR group [non-proliferative DR (NPDR), and proliferative DR (PDR)] with no DKD), DR complicated with DKD groups (DR+DKD group). The biochemical profile, including fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and lipid profile were estimated, and plasma inflammatory and angiogenic cytokines [monocyte chemoattractant protein-1 (MCP-1), interleukin (IL)-6, IL-8, vascular endothelial growth factor (VEGF)-A, C, D, and placental growth factor (PlGF)] were analyzed by protein microarrays. The atherogenic plasma index (API) was defined as low-density lipoprotein cholesterol (LDL-C)/high-density lipoprotein-cholesterol (HDL-C); atherogenic index (AI) was calculated as [(total cholesterol (TC) -HDL-C)/HDL-C], and atherogenic index of plasma (AIP) was defined as log (TG/HDL-C). By multivariable disordered regression analysis, after controlling for duration of DM and hypertension, LDL-C (p = 0.019) and VEGF-D (p = 0.029) resulted as independent risk factors for DR. Albumin-to-creatinine ratio (uACR) (p = 0.003) was an independent risk factor for DR with DKD. In DR, NPDR, and PDR groups, grades of A1, A2, and A3 of albuminuria increased with the severity of DR. In A1, A2, and A3 grade groups, the severity of DR (DM, NPDR, and PDR) increased with higher albuminuria grades. Kendall's tau-b correlation coefficient analysis revealed that FBG (p = 0.019), circulating level of PlGF (p = 0.002), and VEGF-D (p = 0.008) were significantly positively correlated with the grades of uACR (p < 0.001), and uACR grades were significantly correlated with DR severity (p < 0.001). The occurrence and severity of DR are closely correlated with kidney dysfunction. Among the three kidney functional parameters, uACR resulted as the better indicator of DR severity and progression than glomerular filtration (eGFR) and serum creatinine (Scr). Impaired FBG was associated with microalbuminuria, emphasizing that well-controlled FBG is important for both DR and DKD. The link between diabetic retinal and renal microvasculopathy was associated with dyslipidemia and upregulated circulating level of angiogenic cytokines.

Association of periodontal disease and diabetic retinopathy

The main problem of type II diabetes is that excessive levels of glucose in the blood damage the vascular endothelium causing complications, such as periodontal disease (PD) that, in people with diabetes, can compromise the patient's ability to maintain normal function. adequate metabolic control. Therefore, it is important to analyse the effect of PD status on complications in patients with type II diabetes; Previous studies have reported that there is a bidirectional relationship between PD and diabetic complications, but it has not been clarified whether PD affects the presence of complications such as diabetic retinopathy (DR). DR is a microvascular complication and is considered the main cause of visual loss worldwide, similarly, periodontitis is a microvascular chronic inflammatory condition that compromises the dental support tissues. This article was prepared as an update for health professionals and also to analyse PE and how it is related to the presence of DR. Based on the literature, we can conclude that the number of teeth is an independent risk factor for DR, greater bleeding on probing could affect the presence of DR, and that patients with DR seem to show greater susceptibility to PD. The bibliography also mentions that more studies should be carried out with large samples, adequate models that adjust confounding variables such as obesity, hypertension, other chronic-degenerative diseases, use of substances such as alcohol or cigarettes, also carrying out prospective analyses of the conditions of periodontitis and DR.

The Platelet-to-Lymphocyte Ratio Predicts Diabetic Retinopathy in Type 2 Diabetes Mellitus.

As a severe and specific neurovascular complication of type 2 diabetes mellitus (T2DM), diabetic retinopathy (DR) remains the leading cause of vision loss and preventable blindness in adults aged 20 to 74. The pathogenesis of DR is not completely understood, however, studies indicate that chronic inflammation plays a significant role. Emerging evidence suggests that the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the monocyte-to-lymphocyte ratio (MLR) are novel potential inflammatory response markers. The purpose of this study was to investigate the relationships between the NLR, PLR, MLR, and DR. 290 patients who had been diagnosed with T2DM participated in the study. Patients were categorized into three groups: 142 control subjects with T2DM, 124 subjects with nonproliferative diabetic retinopathy (NPDR), and 24 patients with proliferative diabetic retinopathy (PDR). Characteristics, laboratory data, as well as NLR, PLR and MLR levels of the study groups were compared. In patients with DR, the median NLR, PLR, and MLR were significantly higher than in patients without DR (p = 0.012, p < 0.001, and p = 0.043, respectively). In the post hoc analysis, there was no correlation between the severity of retinopathy and the increase in NLR or PLR. Multiple logistic regression revealed that the PLR was an independent risk factor for DR (odds ratio [OR]: 1.020, 95% confidence interval [CI]: 1.010-1.029 p = 0.026). Based on the receiver operating characteristic (ROC) curve, the cutoff value of PLR as an indicator for diagnosing DR was estimated to be 129.65, with a sensitivity and specificity of 53.4% and 76.1%, respectively, and an area under the curve of 0.668 (95% CI: 0.605-0.730, p < 0.001). Our findings suggest that PLR may be an independent risk factor for evaluating DR in type 2 diabetes patients.

The neutrophil percentage-to-albumin ratio is related to the occurrence of diabetic retinopathy.

BackgroundAmong patients with diabetic retinopathy (DR), no proof was available to confirm the prognostic significance of the neutrophil percentage‐to‐albumin ratio (NPAR). We hypothesized that NPAR plays a role in the incidence of DR in diabetic patients.MethodsWe extracted all diabetes mellitus (DM) data from the National Health and Nutrition Examination Survey (NHANES) database between 1999 and 2018, NPAR was expressed as neutrophil percentage/albumin. Multivariable logistic regression and generalized additive model were utilized for the purpose of examining the correction between NPAR levels and DR. Subgroup analysis of the associations between NPAR and DR was carried out to investigate if the impact of the NPAR varied among different subgroups.ResultsAn aggregate of 5850 eligible participants were included in the present research. The relationship between NPAR levels and DR was positive linear. In the multivariate analysis, following the adjustment for confounders (gender, white blood cell, age, monocyte percent, red cell distribution width, eosinophils percent, bicarbonate, body mass index, iron, glucose, basophils percent, total bilirubin, creatinine, and chloride), higher NPAR was an independent risk factor for DR compared to lower NPAR (OR, 95% CI: 1.18, 1.00–1.39; 1.24, 1.04–1.48). For the purpose of sensitivity analysis, we found a trend of consistency (p for trend: 0.0190). The results of the subgroup analysis revealed that NPAR did not exert any statistically significant interactions with any of the other DR risk variables.ConclusionsElevated NPAR is associated with an elevated risk of occurrence of DR in diabetic patients.

Association between red blood cell distribution width-to-albumin ratio and diabetic retinopathy.

BackgroundDiabetes mellitus (DM) has shown a trend of reaching pandemic levels in the world. Chronic inflammation is a key factor in the development of diabetic retinopathy (DR). Red blood cell distribution width‐to‐albumin ratio (RA) is used to assess immune status and the immune response. Our study was conducted to assess the association between DR and RA levels to determine the value of RA in predicting DR.MethodsThe data came from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2006, The RA was calculated as the Red Blood Cell Distribution Width/Albumin Ratio. Multivariable logistic regression and propensity score‐matched analysis were used to examine the association between RA and DR levels.ResultsThe clinical and demographic features of the 1,751 patients with DM. The eligible participants included 874 females and 870 males with mean age 62.2 ± 14.0 years, and mean RA 3.2 ± 0.5. RA ≥ 2.9659 was a risk factor for DR (OR = 1.66 95% CI: 1.31–2.11, p < 0.0001). After adjusting for age, sex, race, education, marital status, ratio of family income to poverty, body mass index, fasting glucose, hypertension, and coronary heart disease, RA ≥ 2.9659 was an independent risk factor for DR (OR = 1.64, 95% CI: 1.23–2.19, p = 0.0008). The propensity score‐matched analysis also showed that high RA was an independent risk factor for DR.ConclusionsOur study shows that RA is a risk factor for patients with DR. The findings of this study should be validated the role of RA in DR in diabetic patients.

Serum levels of vasohibin-1 in type 2 diabetes mellitus patients with diabetic retinopathy.

To determine whether Vasohibin-1 which is a potential clinical biomarker is an independent risk factor in patients with diabetic retinopathy. Diabetic retinopathy (DR) is a common chronic microangiopathy in type 2 diabetes mellitus (T2DM). Vasohibin-1 (VASH-1) is an angiogenesis regulator that is closely related to pathological vascularization in DM. This study aimed to determine whether the serum levels of VASH-1 were related to the occurrence of DR in T2DM patients. T2DM patients were divided into three groups: the nondiabetic retinopathy (NDR) group (n = 41), the nonproliferative diabetic retinopathy (NPRD) group (n = 40), and the proliferative diabetic retinopathy (PDR) group (n = 41). A control (CON) group consisting of 40 healthy subjects was also recruited. The serum levels of VASH-1 were measured by enzyme-linked immunosorbent assay kits. The concentration of VASH-1 in the CON groups was less significantly than that of the NDR, NPDR and PDR groups. (P < 0.05). Body mass index, fasting plasma glucose (FPG), hemoglobina1c (HbA1C), blood urea nitrogen (BUN) and diabetic durations were positively correlated with the serum concentration of VASH-1 (all P < 0.05). In univariate logistic regression analyses, the HbA1C, diabetic durations, HDL-c, eGFR and VASH1 were associated with the presence of diabetic retinopathy. Multivariate logistic regression analysis showed that duration of diabetes were significantly associated with diabetic retinopathy. We have shown that VASH-1 is associated with an increased risk of developing diabetic retinopathy. But the serum levels of VASH-1 are not independent risk factors for DR in T2DM.

The Relationship of Hyperferritinemia to Metabolism and Chronic Complications in Type 2 Diabetes.

AimElevated serum ferritin has been found to be closely related to type 2 diabetes mellitus. This study aimed to explore the relationship of high serum ferritin to metabolism and chronic complications in type 2 diabetes.MethodsThis was a cross-sectional study. A total of 330 type 2 diabetes patients who visited an endocrine clinic were included for the analysis. Serum ferritin and metabolic parameters were recorded. The prevalence of chronic diabetic complications was evaluated. Based on serum ferritin, participants were divided into hyperferritinemia and normal-ferritin groups. Metabolic parameters and prevalence of chronic diabetic complications were compared. The relationship between hyperferritinemia and chronic diabetic complications was explored with multivariate logistic regression models. Data were statistically analyzed by sex.ResultsCompared with the normal-ferritin group, the hyperferritinemia group showed higher levels of the serum inflammatory marker CRP and higher prevalence of diabetic retinopathy (DR) and coronary heart disease (CHD), regardless of sex (p<0.05). Moreover, male patients with hyperferritinemia had increased serum triglyceride, alanine transferase, γ-glutamyltranspeptidase, urea nitrogen, creatinine, and uric acid and higher prevalence of microalbuminuria (p<0.01). After controlling for demographics and metabolic profiles, hyperferritinemia remained an independent risk factor of DR (male OR 3.957, 95% CI 1.559–10.041, p=0.004; female OR 2.474, 95% CI 1.127–5.430, p=0.024) and CHD (male OR 2.607, 95% CI 1.087–6.257, p=0.032; female OR 2.293, 95% CI 1.031–5.096, p=0.042).ConclusionThis study found that hyperferritinemia was associated with increased CRP and higher prevalence of DR and CHD in type 2 diabetes. In men, high serum ferritin was also associated with dyslipidemia, hepatic dysfunction, and microalbuminuria.

Vitamin D Deficiency Is Significantly Associated with Retinopathy in Type 2 Diabetes Mellitus: A Case-Control Study

Aim: Results from meta-analyses point to an association between vitamin D deficiency and the onset of diabetic retinopathy (DR). The objectives of the present study were to evaluate the association of vitamin D for the development of DR and to determine the levels of vitamin D associated with a greater risk of DR. Methods: Between November 2013 and February 2015, we performed a case-control study based on a sample of patients with diabetes in Spain. The study population comprised all patients who had at least one evaluable electroretinogram and recorded levels of 25(OH)D. We collected a series of analytical data: 25(OH)D, 1,25(OH)2D, iPTH, calcium, albumin, and HbA1c. Glycemic control was evaluated on the basis of the mean HbA1c values for the period 2009–2014. A logistic regression analysis was performed to identify the variables associated with DR. Results: The final study sample comprised 385 patients, of which 30 (7.8%) had DR. Significant differences were found between patients with and without DR for age (69.54 vs. 73.43), HbA1c (6.68% vs. 7.29%), years since diagnosis of diabetes (10.9 vs. 14.17), level of 25(OH)D (20.80 vs. 15.50 ng/mL), level of 1,25(OH)2D (35.0 vs. 24.5 pg/mL), treatment with insulin (14.9% vs. 56.7%), hypertension (77.7% vs. 100%), cardiovascular events (33.2% vs. 53.3%), and kidney failure (22.0% vs. 43.3%). In the multivariate analysis, the factors identified as independent risk factors for DR were treatment of diabetes (p = 0.001) and 25(OH)D (p = 0.025). The high risk of DR in patients receiving insulin (OR 17.01) was also noteworthy. Conclusions: Levels of 25(OH)D and treatment of diabetes were significantly associated with DR after adjusting for other risk factors. Combined levels of 25(OH)D < 16 ng/mL and levels of 1,25(OH)2D < 29 pg/mL are the variables that best predict the risk of having DR with respect to vitamin D deficiency. The risk factor with the strongest association was the treatment of type 2 diabetes mellitus. This was particularly true for patients receiving insulin, who had a greater risk of DR than those receiving insulin analogues. However, further studies are necessary before a causal relationship can be established.

Prevalence of and Factors Associated with Diabetic Retinopathy in Patients with Diabetes Mellitus at Siriraj Hospital - Thailand's Largest National Tertiary Referral Center.

PurposeWe aimed to determine the prevalence of and factors associated with diabetic retinopathy (DR) in patients with diabetes mellitus (DM) and to evaluate the relationship between significant factors and severity of DR.Patients and MethodsA retrospective cross-sectional study of 1130 diabetic patients (mean age: 60 years, 62.7% female, 91% type 2 diabetes) was conducted in the diabetes clinic of Siriraj Hospital (Bangkok, Thailand) during January 2012 to June 2015. DR was graded as absent, mild, moderate, or severe non-proliferative DR, or proliferative DR. Multivariate logistic regression analysis was used to identify independent risk factors for DR in DM patients.ResultsThe overall prevalence of DR was 34.78%. Multivariate analysis revealed duration of diabetes, glycated hemoglobin level (HbA1c), presence of albuminuria, and abnormal protective sensation to be independent risk factors for DR. The prevalence of DR increased with longer duration of diabetes (p < 0.001), deterioration of glucose control (p = 0.006 for HbA1c), presence of significant albuminuria (p = 0.010), and loss of protective sensation (p = 0.001).ConclusionIn this study, one-third of DM were found to have DR. The independent predictors of DR were duration of diabetes, HbA1c level, presence of significant albuminuria, and impaired protective sensation. Heightened awareness of these risk factors will decrease the prevalence and severity of DR, and will improve early diagnosis and treatment of DR.

Thyroid stimulating hormone aggravates diabetic retinopathy through the mitochondrial apoptotic pathway.

Diabetic retinopathy (DR) is a common complication of diabetes mellitus. High glucose-induced mitochondrial apoptosis is involved in the loss of retinal pericytes (PCs), which is considered to be a predominant pathologic change of diabetic retinopathy (DR). A high thyroid stimulating hormone (TSH) serum level is associated with an increased prevalence of DR in diabetic patients. Here, we investigated whether TSH regulated glucose-induced PCs loss through TSH-receptor (TSHR)-dependent mitochondrial apoptosis. First, the serum TSH level was found to be an independent risk factor for DR in Type 2 diabetic study participants (odds ratio = 2.294; 95% confidence interval: 1.925-2.733; p ≤ 0.001). Second, human PCs were treated with different concentrations of glucose, with or without bovine TSH (b-TSH). Glucose induced mitochondrial apoptosis through various mechanisms, including through regulating the expression of apoptosis-related proteins and inducing mitochondrial dysfunction, which could be deteriorated by costimulation of glucose and b-TSH. Additionally, we detected functional TSHR in PCs; blocking TSHR significantly restricted TSH-induced apoptosis. Thus, the presence of functional TSHR in human retinal PCs may facilitate the effect of high TSH on high glucose-induced PCs loss through TSHR-dependent mitochondrial apoptosis.

INCIDENCE AND RISK FACTORS OF DIABETIC RETINOPATHY AMONG PATIENTS WITH TYPE 2 DIABETES IN A COMMUNITY HOSPITAL, CENTRAL THAILAND

Background: Diabetic retinopathy (DR) is one of the ocular complications among patients with type 2 diabetes (T2D) in both developed and developing countries. At present, epidemiological data of DR and the risk factors among patients with T2D especially in Thai community hospitals have been limited.&#x0D; Methods: A retrospective cohort study was conducted between January 1, 2013 and December 31, 2020 to determine the incidence and risk factors of DR among patients with T2D visiting Tha Wung Hospital, Lop Buri Province, central Thailand. DR was determined according to the International Classification of Diseases, Tenth Revision codes in E113 presented in medical records. Multivariate Cox regression analysis was performed to obtain the adjusted hazard ratios (HR) and 95% confidence interval (CI) of the factors related to DR.&#x0D; Results: A total of 2007 patients with T2D were enrolled in the present study. During the study period, participants (5.3%) had a diagnosis of DR; the incidence rate was 0.9 per 100 person-years (95% CI; 0.7-1.1). The independent risk factors for DR included HbA1c ≥8% (adjusted hazard ratio (AHR) = 4.7, 95% CI; 2.5-8.7), urine albumin 3+ (AHR = 2.4, 95% CI; 1.1-5.3), urine albumin 4+ (AHR = 20.3, 95% CI; 2.7-150.9), and a longer distance between residential area (AHR= 1.3, 95% CI; 1.2-1.4).&#x0D; Conclusion: Patients with T2D should be encouraged to reach their glycemic control indicated by HbA1c level. Additionally, effective health interventions should be conducted to contribute appropriate access to diabetic care for patients residing in remote areas.

Is diabetic retinopathy affected by diabetes type? A retrospective study using electronic medical record data from patients with latent autoimmune diabetes in adults, type 1 diabetes, and type 2 diabetes

AimsTo determine whether the occurrence of diabetic retinopathy (DR) and its related factors are affected by diabetes type (latent autoimmune diabetes in adults [LADA], type 1 diabetes mellitus [T1DM], type 2 diabetes mellitus [T2DM]).MethodsLADA patients were matched for age (± 2 years) and sex to T1DM (1:1) and T2DM (1:2) patients. Retrieved variables included demographic characteristics, diabetes history, laboratory test findings, and history of DR screening, etc. Multiple logistic regression analysis was applied to identify influencing factors of DR. A decision tree was used to explore interactions between diabetes type and other influencing factors of DR.ResultsWe included 110 LADA, 101 T1DM, and 220 T2DM patients. DR prevalence was 26.4% in LADA patients, lower than that in T1DM (50.5%) and T2DM (47.7%) patients (P < 0.001). Logistic regression analysis demonstrated that diabetes duration (OR = 1.15, 95% CI: 1.1–1.26, P < 0.001) and diabetic nephropathy (DN) (OR = 42.39, 95% CI: 10.88–165.11, P < 0.001) were independent risk factors for DR, and regular DR screening (OR = 0.33, 95% CI: 0.16–0.69, P = 0.003) was an independent protective factor. Decision tree analysis showed that in patients without DN with a diabetes duration of at least 10.5 years, T1DM and LADA patients had a higher incidence of DR than T2DM patients (72.7% vs. 55.1%).ConclusionsThe prevalence of DR in diabetes patients was affected by diabetes duration, DN occurrence, and regular DR screening. Diabetes type indirectly affects DR occurrence through its interaction with diabetes duration and DN. Correct LADA diagnosis is necessary, and DR screening needs to be well-implemented.