Objective To evaluate the relationship between lasar in situ keratomileusis(LASIK) and macular hemorrhage after the operation.Methods 1840 patients(3430 eyes) treated by LASIK in our hospital were reviewed for macular hemorrhage in the past four years(July,2001 to 2005).Results The rate of macular hemorrhage was 0.26%(9/3430) after LASIK.The shortest period of time from the LASIK to the occurrence of macular hemorrhage was 20 days and the longest was 8 months 2 patients(2 eyes) with the history of macular hemorrhage suffered hemorrhage again after the LASIK,among the 65 cases with Fuchs spot in macula,there were 4 cases(6.15%) with macular hemorrhage.Conclusions We think there is no direct cause-effect relation between LASIK and macular hemorrhage.LASIK will not increase the rate of macular hemorrhage,but these cases with the history of macular hemorrhage,pathological changes with Fuchs,or fluorescence leaks in checking of FFA cannot receive LASIK.

OBJECTIVE:To explore the application of topic model in the study of type 2 diabetes treatment plan. METHODS:Clinical data of 650 inpatients with type 2 diabetes in our hospital during Jan. 2012-Jun. 2016 were analyzed retrospectively. The data of clinical diagnosis,lab indexes and clinical drug use were exchanged,summarized and merged by MATLAB R2014a software. Latent Dirichlet allocation and author topic model were adopted to extract the typical topics with topic probability value>0.1,and the topics was described by the complications with cumulative probability value>0.5. RESULTS:A total of 62 complications words,16 abnormal laboratory indexes groups and 20 treatment plans were obtained. A total of 4 typical topics were excavated(cumulative probability values for the first few complications were 0.8786,0.8247,0.8215,0.7536;topic probability value were 0.3364,0.2773,0.2035,0.1176,respectively) and were mainly characterized by peripheral neuropathy,peripheral vascular disease,abnormal lipid metabolism and microvascular lesions;abnormal lab indexes groups met the above characteristics. The complications with high distribution rate included diabetic peripheral neuropathy (0.5787), hypertension (0.3631),atherosclerosis (0.2789),hyperlipidemia (0.4578) and diabetic retinopathy (0.3143);main drugs included Insulin aspart injection,Insulin injection,Methylcobalamin dispersible tablets,etc. CONCLUSIONS:The complications of type 2 diabetes are characterized by peripheral neuropathy,peripheral vascular disease,abnormal lipid metabolism and microvascular lesions. The medication rules with clinical significance can be extracted from the clinical data by topic model.

OBJECTIVE:To excavate the drug use rules of type 2 diabetes,and to provide reference for clinical treatment. METHODS:Clinical data of 807 patients with type 2 diabetes were collected from our hospital during Jan. 2012-Jun. 2017. Complex network and subnetworks for drug compatibility and their visual chromatograms were established by Gephi 0.9.1 software. MATLAB R2014a software was used for topic model mining. The complex network,subnetworks and the overlapping structures of community were analyzed in respects of node distance and degree centrality. Core drugs for type 2 diabetes were screened. RESULTS & CONCLUSIONS:The drug complication complex network established in the study included 119 nodes and 24 412 edges with maximum edge weight of 378. Drugs with high frequency included Insulin aspart injection,Fluvastatin sodium extended release tablets,Metformin hydrochloride tablets,Acarbose tablets,etc. Average distance of network was 1.89,and maximum distance was 4. The distance of 89.90% drugs was 1 or 2,and the links between the various drugs were close. Insulin aspart injection(0.914),Metformin hydrochloride tablets(0.887)and Voglibose tablets(0.866)were core drugs of the network. Totally 4 typical topics were excavated, including peripheral neuropathy, peripheral vascular disease, abnormal lipid metabolism and microangiopathy. Results of subnetwork analysis showed that typical topics were based on hypoglycemic therapy and supplemented by neurotrophic drugs,antihypertensive drugs,lipid regulating drugs and drugs for improvement of retinopathy. Complex network analysis showed that drug use regularity was in line with related guideline of type 2 diabetes and clinical practice. The method has practical significance of data mining in clinic.