While there is an advantage to be able to directly utilize some research database of medical information must solve several problems. It also includes support for international standardization, led by computerized system validation, and CDISC. We should countermeasures with epidemiological studies using SS-MIX standardized storage, in anticipation of its application to clinical trials in the near future in Japan. (Jpn J Pharmacoepidemiol 2013；18(1)：35-39)

AIM: To determine the effect of endogenous histamine on transient forebrain ischemia-induced neuronal injury at the late phase of reperfusion using histidine decarboxylase knockout ( HDC-KO) mice.METHODS:Wild-type (WT) and HDC-KO mice were subjected to bilateral common carotid artery occlusion for 30 min followed by 3 d or 15 d of reperfusion.At different time points after reperfusion, the body weight, mortality rate, learning and memory in fear conditioning test and hippocampal CA 1 neuronal density were evaluated .RESULTS: At 1 d after reperfusion , the body weight loss was observed in both WT and HDC-KO mice.At 4 d, 5 d, 6 d and 7 d after reperfusion, the increment in the body weight of the HDC-KO mice was significantly smaller than that of the WT mice .During the period between 8 d and 14 d after reperfusion, the mortality rate of the HDC-KO mice was higher than that of the WT mice (P<0.05).At 14 d after reperfusion , the HDC-KO mice exhibited more aggravated deficits in contextual and cue memory compared with the WT mice.Correspondingly , a more severe CA1 neuronal injury in the HDC-KO mice than that in the WT mice was ob-served at 15 d but not at 3 d after reperfusion (P<0.05).CONCLUSION:Endogenous histamine may attenuate learn-ing/memory deficits and neuronal injury at the late phase of ischemia /reperfusion.However, the involved mechanisms need to be further investigated .

The patient was a 15-month-old girl with Down's syndrome. She had a heart murmur on the first day after birth. The echocardiogram revealed that she had the tetralogy of Fallot (TOF) and mitral insufficiency (MI). She was observed because she had no heart failure or cyanosis. However, she developed heart failure with progressive MI. Then, she was admitted to our medical center for surgical treatment. During the operation, it was confirmed that the primary septum was intact and a large ventricular septal defect was located at the inlet to outlet portion with anterior malalignment. Each leaflet of the atrioventricular valve were attached to the same level and the ventricular septum was scooped out. TOF with endocardial cushion defect (ECD) without primary septal defect was diagnosed based on the operative findings. Surgical repair was performed through the right atrium and pulmonary artery. She was discharged 17 days after operation without any complications. This was a very rare combination of TOF with ECD without a primary septal defect. We discussed this rare condition with a review of the literature.

The Standardized Structured Medical record Information eXchange (SS-MIX) was started in 2006 as the project supported by the Ministry of Health, Labour and Welfare (MHLW) for promoting the exchange of the standardized medical information. Free soft wares developed in the project allow the storage of medical information to receive HL7 messages for prescription, laboratory test results, diagnoses and patient demographics in the hospital information system (HIS). We encourage the use of the SS-MIX standardized storage for postmarketing surveys and clinical studies. The recommendations consist of the following 7 parts. [1] In surveys and clinical studies, the information of drugs and laboratory test results in the SS-MIX standardized storage can be directly transferred to the electronic questionnaire and the investigators may obtain the information with high accuracy and granularity. [2] The SS-MIX standardized storage works as the backup system for the HIS because it can provide the minimum information essential in patient care even under the disastrous condition like earthquake or unexpected network failure. [3] The SS-MIX standardized storage may be useful to conduct a good pharmacoepidemiology study not only because it provides the information in the storage efficiently but also it can be used to identify “new users” who started the drug after some period of non-use.The “new user” design is often essential to have the unbiased results. [4] When the drug company conducts postmarketing surveys according to the current regulation, the use of the SS-MIX standardized storage will facilitate the fast and efficient collection of data to develop the timely measure to minimize the drug-related risk. With the SS-MIX standardized storage, it is also expected that many types of study design can be employed and the quality of data is improved in the survey. [5] The SS-MIX standardized storage maybe also useful to evaluate the risk minimization action plan by comparing the prescription pattern or incidence of the targeted adverse event between two periods before and after the implementation of the action plan. [6] In planning clinical trials, the SS-MIX standardized storage may be used to estimate the size of eligible patients. The storage may also allow conducting cross-sectional studies to know characteristics of diseases or drug treatment. In addition, cohorts of those who had coronary artery angiography, new users of a drug and those with a rare disease may be readily identified. Using such cohorts, investigators can initiate a case-control study nested within the cohort, pharmacogenomic studies and comparative effectiveness researches. [7] The SS-MIX standardized storage may be used as the formal data source in clinical trials in the future when some conditions are satisfied. For instance, the formal agreement should be reached between industry, government and academia on the use of standards of data structure in Clinical Data Interchange Standards Consortium (CDISC) and on the operation of computerized system validation (CSV) in the clinical trials.

Background/Aims: Multiple white and flat elevated lesions (MWFL) that develop from the gastric corpus to the fornix may be strongly associated with oral antacid intake. Therefore, this study aimed to determine the association between the occurrence of MWFL and oral proton pump inhibitor (PPI) intake and clarify the endoscopic and clinicopathological characteristics of MWFL. Methods: The study included 163 patients. The history of oral drug intake was collected, and serum gastrin levels and anti-Helicobacter pylori immunoglobulin G antibody titers were measured. Upper gastrointestinal endoscopy was performed. The primary study endpoint was the association between MWFL and oral PPI intake. Results: In the univariate analyses, MWFL were observed in 35 (49.3%) of 71 patients who received oral PPIs and 10 (10.9%) of 92 patients who did not receive oral PPIs. The occurrence of MWFL was significantly higher among patients who received PPIs than in those who did not (p<0.001). Moreover, the occurrence of MWFL was significantly higher in patients with hypergastrinemia (p=0.005). In the multivariate analyses, oral PPI intake was the only significant independent factor associated with the presence of MWFL (p=0.001; odds ratio, 5.78; 95% confidence interval, 2.06–16.2). Conclusions Our findings suggest that oral PPI intake is associated with the presence of MWFL (UMINCTR 000030144).

Background/Aims: Image-enhanced endoscopy can detect superficial oro-hypopharyngeal squamous cell carcinoma; however, reliable endoscopy of the pharyngeal region is challenging. Endoscopy under general anesthesia during transoral surgery occasionally reveals multiple synchronous lesions that remained undetected on preoperative endoscopy. Therefore, we aimed to determine the lesion detection capability of endoscopy under general anesthesia for superficial oro-hypopharyngeal squamous cell carcinoma. Methods: This retrospective study included 63 patients who underwent transoral surgery for superficial oropharyngeal squamous cell carcinoma between April 2005 and December 2020. The primary endpoint was to compare the lesion detection capabilities of preoperative endoscopy and endoscopy under general anesthesia. Other endpoints included the comparison of clinicopathological findings between lesions detected using preoperative endoscopy and those newly detected using endoscopy under general anesthesia. Results: Fifty-eight patients (85 lesions) were analyzed. The mean number of lesions per patient detected was 1.17 for preoperative endoscopy and 1.47 for endoscopy under general anesthesia. Endoscopy under general anesthesia helped detect more lesions than preoperative endoscopy did (p<0.001). The lesions that were newly detected on endoscopy under general anesthesia were small and characterized by few changes in color and surface ruggedness. Conclusions Endoscopy under general anesthesia for superficial squamous cell carcinoma is helpful for detecting multiple synchronous lesions.

Objective: Currently, limited information is available on the milk transfer properties of drugs when consumed by lactating women. Therefore, we aim to construct a prediction model of milk transfer of drugs using machine learning methods.Methods: We obtained data from Hale’s Medications & Mothers’ Milk (MMM) and SciFinder®, and then constructed the datasets. The physicochemical and pharmacokinetic data were used as feature variables with M/P ratio ≥ 1 and M/P ratio < 1 as the objective variables, classified into two groups as the classification of milk transferability. In this study, analyses were conducted using machine learning methods: logistic regression, linear support vector machine (linear SVM), kernel method support vector machine (kernel SVM), random forest, and k-nearest neighbor classification. The results were compared to those obtained with the linear regression equation of Yamauchi et al. from a previous study. The analysis was performed using scikit-learn (version 0.24.2) with python (version 3.8.10).Results: Model construction and validation were performed on the training data comprising 159 drugs. The results revealed that the random forest had the highest accuracy, area under the receiver operating characteristic curve (AUC), and F value. Additionally, the results with test data A and B (n = 36, 31), which were not used for training, showed that both F value and accuracy for the random forest and the kernel method SVM exceeded those with the linear regression equation of Yamauchi et al. Conclusion: We were able to construct a predictive model of milk transferability with relatively high performance using a machine learning method capable of nonlinear separation. The predictive model in this study can be applied to drugs with unknown M/P ratios for providing a new source of information on milk transfer.