Objective To explore the relationship between lipid metabolism and the risk of proliferative retinopathy(PDR)in patients with peripheral diabetic retinopathy(DR).Methods A total of 276 patients with type 2 diabetes mellitus(T2DM)who visited our hospital from May 2022 to July 2023 were selected and divided into the simple T2DM group(n=164)and the combined DR(DR)group(n=112).The DR group was further divided into the non-proliferative retinopathy(NPDR)subgroup(n=58)and the PDR subgroup(n=54)based on the severity of DR.Spearman correlation analysis was used to analyze the relationship between lipid metabolism indicators and PDR,and Logistic regression analysis was used to analyze the influencing factors of PDR.Results In the DR group,DM duration,the utilization rate of insulin(Ins),systolic blood pressure(SBP),diastolic blood pressure(DBP),fasting blood glucose(FPG),glycated hemoglobin(HbA1c),total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),Leptin,TG/high-density lipoprotein cholesterol(HDL-C),residual cholesterol(RC),serum creatinine(Scr),and serum uric acid(SUA)were higher than those in the T2DM group(P<0.05),while fasting C-peptide(FC-P),HDL-C and adiponectin(APN)were lower than those in the T2DM group(P<0.05).The levels of SBP,HbA1c,TC,TG,LDL-C,Leptin,TG/HDL-C,RC,Scr and SUA in the PDR subgroup were higher than those in the NPDR subgroup(P<0.05),while FC-P,HDL-C and APN were lower than those in the NPDR subgroup(P<0.05).Spearman correlation analysis showed that PDR was positively correlated with the levels of TG/HDL,RC,and Leptin(r=0.331,0.264,0.358,P<0.05),and negatively correlated with APN(r=-0.174,P<0.05).Logistic regression analysis showed that TG/HDL-C(OR 2.067,95%CI 1.827～2.643),RC(OR 1.538,95%CI 1.336～2.372),Leptin(OR 1.673,95%CI 1.361～2.474),APN(OR 0.674,95%CI 0.231～0.865),and FC-P(OR 0.147,95%CI 0.067～0.887)were the influencing factors for the progression of NPDR to PDR.Conclusions Lipid metabolism is closely related to the progression from DR to PDR.Clinically,lipid metabolism monitoring of DR patients should be done well to improve prognosis.

Objective To explore the impact of the interaction between fasting plasma glucose(FPG)and serum uric acid(SUA)on peripheral diabetic retinopathy(DR).Methods Peripheral DR patients(n=188)admitted to our hospital from July 2022 to June 2023 were selected as the research subjects and divided into mild to moderate non-proliferative diabetic retinopathy(NPDR)group(M-NPDR,n=114)and severe NPDR(S-NPDR,n=74)group.DM patients without diabetic retinopathy admitted to our hospital during the same period were set as the control(T2DM,n=100)group.The general data and biochemical indicators were compared among the three groups.Logistic regression was used to analyze the relationship between FPG and SUA and the severity of DR.The interaction between FPG and SUA was evaluated.A nomogram model was established to predict the occurrence of severe NPDR.Results The DM duration,best corrected visual acuity converted to logarithm of minimum resolution angles(logMAR BCVA),FPG,SUA and urinary albumin/creatinine ratio(UACR)in M-NPDR and S-NPDR groups were higher than those in T2DM group(P＜0.05).Subfoveal choroidal thickness(SFCT),albumin(ALB)and free triiodothyronine(FT3)were lower than those in the T2DM group(P＜0.05).BUN in S-NPDR group was higher than that in T2DM group(P＜0.05).The DM duration,logMAR BCVA,FPG,TC,TG and SUA in S-NPDR group were higher than those in M-NPDR group(P＜0.05),and SFCT was lower than that in M-NPDR group(P＜0.05).SFCT,FPG,ALB,SUA,and(UACR)were independent influencing factors of severe NPDR(P＜0.05).The column chart model predicted the probability of severe NPDR occurrence,with area under curve of 0.919 and 0.910 before and after validation,and the average absolute error of the calibration curve 0.013,which can be used as risk tool to predict DR severity of T2DM patients.Conclusions FPG and SUA are risk factors affecting the severity of DR and there is an interaction.Early warning of risk factors based on the nomogram model is helpful to improve the prognosis of patients with peripheral DR.

Objective To explore the relationship between lipid metabolism and the risk of proliferative retinopathy(PDR)in patients with peripheral diabetic retinopathy(DR).Methods A total of 276 patients with type 2 diabetes mellitus(T2DM)who visited our hospital from May 2022 to July 2023 were selected and divided into the simple T2DM group(n=164)and the combined DR(DR)group(n=112).The DR group was further divided into the non-proliferative retinopathy(NPDR)subgroup(n=58)and the PDR subgroup(n=54)based on the severity of DR.Spearman correlation analysis was used to analyze the relationship between lipid metabolism indicators and PDR,and Logistic regression analysis was used to analyze the influencing factors of PDR.Results In the DR group,DM duration,the utilization rate of insulin(Ins),systolic blood pressure(SBP),diastolic blood pressure(DBP),fasting blood glucose(FPG),glycated hemoglobin(HbA1c),total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),Leptin,TG/high-density lipoprotein cholesterol(HDL-C),residual cholesterol(RC),serum creatinine(Scr),and serum uric acid(SUA)were higher than those in the T2DM group(P<0.05),while fasting C-peptide(FC-P),HDL-C and adiponectin(APN)were lower than those in the T2DM group(P<0.05).The levels of SBP,HbA1c,TC,TG,LDL-C,Leptin,TG/HDL-C,RC,Scr and SUA in the PDR subgroup were higher than those in the NPDR subgroup(P<0.05),while FC-P,HDL-C and APN were lower than those in the NPDR subgroup(P<0.05).Spearman correlation analysis showed that PDR was positively correlated with the levels of TG/HDL,RC,and Leptin(r=0.331,0.264,0.358,P<0.05),and negatively correlated with APN(r=-0.174,P<0.05).Logistic regression analysis showed that TG/HDL-C(OR 2.067,95%CI 1.827～2.643),RC(OR 1.538,95%CI 1.336～2.372),Leptin(OR 1.673,95%CI 1.361～2.474),APN(OR 0.674,95%CI 0.231～0.865),and FC-P(OR 0.147,95%CI 0.067～0.887)were the influencing factors for the progression of NPDR to PDR.Conclusions Lipid metabolism is closely related to the progression from DR to PDR.Clinically,lipid metabolism monitoring of DR patients should be done well to improve prognosis.

Objective To explore the impact of the interaction between fasting plasma glucose(FPG)and serum uric acid(SUA)on peripheral diabetic retinopathy(DR).Methods Peripheral DR patients(n=188)admitted to our hospital from July 2022 to June 2023 were selected as the research subjects and divided into mild to moderate non-proliferative diabetic retinopathy(NPDR)group(M-NPDR,n=114)and severe NPDR(S-NPDR,n=74)group.DM patients without diabetic retinopathy admitted to our hospital during the same period were set as the control(T2DM,n=100)group.The general data and biochemical indicators were compared among the three groups.Logistic regression was used to analyze the relationship between FPG and SUA and the severity of DR.The interaction between FPG and SUA was evaluated.A nomogram model was established to predict the occurrence of severe NPDR.Results The DM duration,best corrected visual acuity converted to logarithm of minimum resolution angles(logMAR BCVA),FPG,SUA and urinary albumin/creatinine ratio(UACR)in M-NPDR and S-NPDR groups were higher than those in T2DM group(P＜0.05).Subfoveal choroidal thickness(SFCT),albumin(ALB)and free triiodothyronine(FT3)were lower than those in the T2DM group(P＜0.05).BUN in S-NPDR group was higher than that in T2DM group(P＜0.05).The DM duration,logMAR BCVA,FPG,TC,TG and SUA in S-NPDR group were higher than those in M-NPDR group(P＜0.05),and SFCT was lower than that in M-NPDR group(P＜0.05).SFCT,FPG,ALB,SUA,and(UACR)were independent influencing factors of severe NPDR(P＜0.05).The column chart model predicted the probability of severe NPDR occurrence,with area under curve of 0.919 and 0.910 before and after validation,and the average absolute error of the calibration curve 0.013,which can be used as risk tool to predict DR severity of T2DM patients.Conclusions FPG and SUA are risk factors affecting the severity of DR and there is an interaction.Early warning of risk factors based on the nomogram model is helpful to improve the prognosis of patients with peripheral DR.