Objective To observe the preliminary clinical results and safety of 27-gauge microincision vitrectomy surgery for partial vitreoretinal diseases.Methods A total of 13 patients (13 eyes) who underwent 27-gauge microincision vitrectomy surgery were enrolled.The follow-up period was 6 to 12 months.Preoperative and postoperative visual acuity and intraocular,total operative time,cutting time for removing vitreous,wound healing status,intraoperative and postoperative complications were observed.Results Mean best corrected visual acuity improved from preoperative (1.26±0.66) logMAR (0.10±0.09) to postoperative (0.63±0.52) logMAR (0.35±0.24),and the difference was statistically significant (t=2.743,P=0.018).The difference of mean preoperative intraocular pressure (IOP),IOP of postoperative day 1,day 5,one month and final postoperative visit were not statistically significant (F=0.593,P＞0.05).The mean total operative and cutting times were (36.38±14.97) min and (10.12±3.54) min respectively.Postoperative scleral incision showed linear closure,no cases of postoperative sclerotomyrelated complications such as wound dehiscence,vitreous incarceration and subcoujunctival fluid were observed.No intraoperative and postoperative complications of iatrogenic retinal breaks,endophthalmitis,choroidal detachment,retinal detachment and vitrous hemorrhage were observed.Conclusions The 27-gauge microincision vitrectomy surgery can improve postoperative visual acuity for treatment of vitreoretinal diseases and induce fewer sclerotomyrelated complications,which maybe a safer surgical approach.

Objective To evaluate the correlation of sub-foveal chomidal thickness (SFCT) variation in type 2 diabetic patients with clinically significant diabetic macular edema (CSME) and the related factors using enhanced depth imaging optical coherence tomography technique (EDI-OCT).Methods A total of 40 normal volunteers (group A), 49 type 2 diabetic patients without CSME(group B) and 37 type 2 diabetic patients with CSME (group C) were recruited, including 67 male and 59 female.All study subjects received EDI-OCT examination.The SFCT in A, B and C groups were compared using one-way ANOVA analysis.The correlations between SFCT and duration of diabetes, fasting blood glucose (FBG), glycoseylated hemoglobin HbAlc, low density lipopmtein (LDL), triglyceride (TG), total cholesterol (TC), high density lipopmtein (HDL), systolic blood pressure (SBP) and diastolic blood pressure (DBP) were analyzed using logistic regression analysis.Results Average SFCT in group A was (271.49±36.18) μm.Average SFCT in group B was (260.48±35.27) μm, and compared with group A, the difference was not statistically significant (P＞ 0.05).Average SFCT in group C was (227.90±34.73) μm, and compared with group A, the difference was statistically significant (P＜0.01).There was a significant difference of SFCT between groups B and C (P＜0.01).There was no statistically correlation between average SFCT and duration of diabetes, FBG, HbA1c, TG, TC, HDL, creatinine, SBP and DBP (P＞0.05), while a statistically correlation between SFCT and LDL or urinary albumin excretion rate (UAER) was observed in the study (r=-0.609,-0.681, P＜0.01).Conclusions Compared with groups A and B, SFCT in type 2 diabetic patients with CSME was significantly thinner.UAER and LDL levels in type 2 diabetic patients with CSME were negatively correlated with SFCT, that is to say, with the increasing of UAER and LDL levels, SFCT in type 2 diabetic patients with CSME decreased.

BACKGROUNDThe various risk factors for retinal hard exudates are still poorly understood in type 2 diabetic patients. The aim of this study was to determine the association between urinary albumin excretion rate (UAER) and hard exudates in macular region in north Chinese patients.

METHODSA total of 272 patients (272 eyes) were enrolled for this study, including 154 subjects from group 1 (mild hard exudates), 91 subjects from group 2 (moderate hard exudates) and 27 subjects from group 3 (severe hard exudates) confirmed using colour fundus photography, optical coherence tomography (OCT) as well as slit-lamp biomicroscopy with 78 diopter (D) lens. Each participant underwent a comprehensive assessment that included biochemical, clinical characteristics test and detailed ophthalmic evaluation. One-way analysis of variance (ANOVA) test and chi-square test were performed to analyze the fasting blood glucose (FBG), glycated hemoglobin (HbA1c), total cholesterol (TC), low density lipoprotein (LDL), high density lipoprotein (HDL), triglycerides (TG), full blood counts, urinary albumin excretion rate (UAER), blood creatinine (CREA), duration of diabetes, body mass index (BMI), systolic blood pressures (SBP) and diastolic blood pressures (DBP) between groups. Ordinal logistic regression analysis was further performed in order to eliminating the possible confounding factors.

RESULTSThree groups were matched in terms of age and gender. Risk factors which showed significant difference between groups include FBG (P < 0.001), HbA1c (P < 0.001), LDL (P < 0.001), UAER (P < 0.001), duration of diabetes (P = 0.001), TC (P = 0.005), SBP (P = 0.026), CREA (P = 0.004) and haemoglobin (Hb) (P = 0.012). There was no significant difference between groups for the TG, HDL, DBP, platelet, total white blood cells and BMI. Using ordinal Logistic regression analyses, of all the variables, HbA1c, LDL and UAER which were independent risk factor for hard exudates showed a significantly odds ratio of 1.25, 3.07, and 1.39, respectively. There were also significant differences in UAER level between patients with mild, moderate, severe hard exudates groups (P < 0.001).

CONCLUSIONSUAER was an independent risk factor associated with retinal hard exudates in macular region in type 2 diabetic patients. This study highlights the need for close monitoring and fundus examination for hard exudates in patients with elevated UAER to prevent irreversible visual loss.

Aged ; Albuminuria ; physiopathology ; Diabetes Mellitus, Type 2 ; physiopathology ; urine ; Female ; Humans ; Macular Edema ; physiopathology ; urine ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors