Objectives To assess the association between concomitant use of central nervous system drugs and femoral fracture risk in individuals ≥80 years old in Japan. Methods A case-crossover design was used, defining the case period as 3 days before the fracture diagnosis and the control period as 31-33, 34-36, and 37-39 days prior. The association between the daily intake of central nervous system drugs (Anatomical Therapeutic Chemical codes) and fracture risk was analyzed using conditional logistic regression. Patients Using the Japanese administrative claims database, we examined elderly patients diagnosed with femoral neck fractures between January 1, 2009, and December 31, 2020. Results In 255,875 patients, the concomitant use of central nervous system drugs increased the odds ratios of femoral fracture (3.41[95% confidence interval: 3.27-3.55], 3.69 [3.46-3.91], 3.76 [3.42-4.13], and 4.34 [3.86-4.86] for an intake of >0-1, >1-2, >2-3, and >3 central nervous system drugs, respectively). Conclusions The concomitant use of central nervous system drugs is associated with an increased risk of femoral fractures in individuals ≥80 years old in Japan.

Retrieval and visualization of biological data are essential for understanding complex systems. With the increasing volume of data generated from high-throughput sequencing technologies, effective and optimized data visualization tools have become indispensable. This is particularly relevant in the COVID-19 postpandemic period, where understanding the diversity and interactions of microbial communities (i.e., viral and bacterial) constitutes an important asset to develop and plan suitable interventions.In this chapter, we show the usage and the potentials of ExTaxsI (Exploring Taxonomy Information) tool to retrieve viral biodiversity data stored in National Center for Biotechnology Information (NCBI) databases and create the related visualization. In addition, by integrating different functions and modules, the tool generates relevant types of visualization plots to facilitate the exploration of microbial biodiversity communities useful to deep dive into ecological and taxonomic relationships among different species and identify potential significant targets.Using the Monkeypox virus as a case study, this work points out significant perspectives on biological data visualization, which can be used to gain insights into the ecology, evolution, and pathogenesis of viruses. Accordingly, we show the potentiality of ExTaxsI to organize and describe the available/downloaded data in an easy, simple, and interpretable way allowing the user to interact dynamically with the visualization plots through specific filters, zoom, and explore functions.

BACKGROUND: Case identification strategies to conduct population-based studies have not been developed for lichen planus (LP) or lichen planopilaris (LPP).
OBJECTIVE: The aim of this study was to assess the validity of using diagnostic codes to establish both a cutaneous (non-oral) LP cohort and an LPP cohort from a large clinical database.
METHODS: A retrospective chart review was performed to determine whether patients with ICD-9 or ICD-10 codes for LP and ICD-10 codes for LPP are confirmed cases of LP and LPP. Validation samples were used to estimate the positive predictive value (PPV) of three case definitions any LP, non-oral LP, and LPP defined as: at least one code by any physician, at least two codes by any physician, and at least one code by a dermatologist.
RESULTS: Among the 199 reviewed LP charts, 166 and 123 were confirmed cases of any LP and non-oral LP, respectively. The PPVs for any LP were: 83.4% (166/199) for one code by any physician, 84.6% (77/91) for two codes by any physician, and 95.1% (97/102) for one code by a dermatologist. The PPVs for non-oral LP were: 61.8% (123/199) for one code by any physician, 70.3% (64/91) for two diagnoses by any physician, and 86.3% (88/102) for one diagnosis by a dermatologist. Of the 139 patients with at least one code for LPP, 122 were confirmed cases of LPP. The case definition for one LPP code applied by any physician had a PPV of 87.8% (122/139) to identify a true case of LPP, whereas two diagnoses by any physician had a PPV of 96.2% (76/79) and a diagnosis by a dermatologist had a PPV of 93% (107/115).
CONCLUSIONS: Diagnosis codes for LP and LPP, restricted by the diagnosing physician\'s specialty, may be used to accurately identify case cohorts of overall LP, non-oral LP, or LPP in large clinical databases.

UNASSIGNED: Social Life Cycle Assessment (S-LCA) is a methodology that can help companies administer their supply chain and promote both social responsibility and sustainability through the assessment of both positive and negative social and socio-economic aspects of products during their entire life cycle. Here, a case study was performed to test an S-LCA database as a comparative assessment tool of two products, i.e. the traditional almond sugared confetti and Tenerelli sugared almonds, made by the same company.
UNASSIGNED: The S-LCA case study was carried out by using the Product Social Impact Life Cycle Assessment (PSILCA) database, for the two products on openLCA software.
UNASSIGNED: The risk assessment helped to identify the most affected impact categories and which product influences the most on them as well as the categories on which the foreground processes have the greatest impact. For both the analysed products, the category \"Contribution of the sector to economic development\" is marginally affected. Overall, the production of Confetti entails higher medium risk hours regarding some categories (e.g. \"Public sector corruption\", \"Promoting social responsibility\", \"Migration flows\"), whilst for others, it is the Tenerelli that affect the most (e.g. \"Biomass consumption\", \"Trade unionism\"), depending on the different inputs used. Finally, the results are not very influenced by foreground processes, and the social risks are therefore related to upstream processes for both products.
UNASSIGNED: The comparison can become more useful for products of the same or similar functions and the same audience but of different inputs and therefore different supply chains. Indeed, it could be useful for decision-making with the aim of selecting between various possible options the one that entails lower social risks.

UNASSIGNED: To establish a hepatocellular carcinoma imaging database and structured imaging reports based on PACS, HIS, and repository.
UNASSIGNED: This study was approved by the Institutional Review Board. The steps of establishing the database are as follows: 1) According to the standards required for the intelligent diagnosis of HCC, it was attempted to design the corresponding functional modules after analyzing the requirements; 2) Based on client/server (C/S) mode, 3-tier architecture model was adopted. A user interface (UI) could receive data entered by users and show handled data. Business logic layer (BLL) could process the business logic of the data, and data access layer (DAL) could save the data in the database. The storage and management of HCC imaging data could be realized by the SQLSERVER database management software, and Delphi and VC++ programming languages were used.
UNASSIGNED: The test results showed that the proposed database could swiftly obtain the pathological, clinical, and imaging data of HCC from the picture archiving and communication system (PACS) and hospital information system (HIS), and perform data storage and visualization of structured imaging reports. According to the HCC imaging data, liver imaging reporting and data system (LI-RADS) assessment, standardized staging, and intelligent imaging analysis were carried out on the high-risk population to establish a one-stop imaging evaluation platform for HCC, strongly supporting clinicians in the diagnosis and treatment of HCC.
UNASSIGNED: The establishment of a HCC imaging database can not only provide a huge amount of imaging data for the basic and clinical research on HCC, but also facilitate the scientific management and quantitative assessment of HCC. Besides, a HCC imaging database is advantageous for personalized treatment and follow-up of HCC patients.

National Persian school-aged twin registry was established to provide a platform for twin studies. In this report, we describe defining registry characteristics, database design, and preliminary results regarding gathered data in the first phase of the registry program.
Through focus group discussions, the required data elements to design the database and data collection process were defined. First, a list of twins in school-aged groups was retrieved from the electronic database of the Ministry of Education. Tehran schools were selected for the first phase of our registry. Standard \"Pea-in-Pods\" questionnaire and twins\' similarity questionnaires were filled out by the parents themselves in addition to demographic information. Data were analyzed using SPSS v.22.
The first national school-aged twin registry was established in 2018. Firstly, the required data sets and data collection process were defined using focus group discussions. At the country level, the initial information on 189,738 students was retrieved from the national database of the Ministry of Education. They were born between 2003 and 2017, of which 94,997 are boys (50.1%) and 94,741 are girls (49.9%). Of them, a total of 5,642 pairs of school-aged twins participated in the first phase of our program. Our sample size comprised 9772 twins, 906 triples, and 92 quadruplets. The analysis of the zygosity questionnaire showed that 14% of twin pairs were identified as monozygotic twins.
Recruiting school-aged twins through school health assistants leads to high enrollment and decreasing costs for the twin registry. The study showed a high rate of dizygotic twins that need to be verified by twin bio-sample in the next phase of studies.

Background: A previous study in Denmark suggested an increased melanoma risk associated with the use of flecainide. Objective: To study the association between flecainide use and the risk of melanoma and non-melanoma skin cancer in Spain and Denmark. Methods: We conducted a multi-database case-control study in (database/study period) Spain (SIDIAP/2005-2017 and BIFAP/2007-2017) and Denmark (Danish registries/2001-2018). We included incident cases of melanoma or non-melanoma skin cancer (NMSC) aged ≥18 with ≥2 years of previous data (≥10 years for Denmark) before the skin cancer and matched them to controls (10:1 by age and sex). We excluded persons with immunosuppression or previous cancer. We defined ever-use as any prescription fill and high-use as a cumulative dose of at least 200 g (reference: never-use). We categorized a cumulative dose for a dose-response assessment. We used conditional logistic regression to compute ORs (95% CI) adjusted for photosensitizing, anti-neoplastic, disease-specific drugs and comorbidities. Results: The total numbers of melanoma/NMSC cases included were 7,809/64,230 in SIDIAP, 4,661/31,063 in BIFAP, and 27,978/152,821 in Denmark. In Denmark, high-use of flecainide was associated with increased adjusted ORs of skin cancer compared with never-use [melanoma: OR 1.97 (1.38-2.81); NMSC: OR 1.34 (1.15-1.56)]. In Spain, an association between high-use of flecainide and NMSC was also observed [BIFAP: OR 1.42 (1.04-1.93); SIDIAP: OR 1.19 (0.95-1.48)]. There was a non-significant dose-response pattern for melanoma in Denmark and no apparent dose-response pattern for NMSC in any of the three databases. We found similar results for ever-use of flecainide. Conclusion: Flecainide use was associated with an increased risk of melanoma (Denmark only) and NMSC (Denmark and Spain) but without substantial evidence of dose-response patterns. Further studies are needed to assess for possible unmeasured confounders.

Measles is a rapidly growing disease in the world with 869,770 cases and 207,500 deaths recorded in 2019. Niger continues to record epidemic outbreaks despite the actions taken. This study aims to analyze the national database from 2010 to 2019 to characterize the epidemiology of measles in Niger. This is a descriptive retrospective study. Our sample is exhaustive of suspected and positive measles cases from the database of the department of surveillance and response to epidemics for 10 years. Data extraction and analysis was done using Epi Info 7.2.3.1 software. In our study we found n=11,784 suspected measles cases notified from 2010 to 2019 with 37.2% of positive cases (IgM+). All regions are concerned. The female/male sex ratio was 1.1. The 1-to-5-year age group was the most representative (44.44%); 28.3% received at least one dose of vaccine; 62.22% lived in urban areas. The number of deaths was 225 (1.9%). The proportion of samples received at the laboratory within 3 days is 70.38%. The baseline analysis allowed us to find that all regions recorded cases and deaths with a low vaccination rate of 28.3%. Improved response and immunization strategies are recommended.

The aim of this study is to define chemical categories that can be applied to regulatory read-across assessments for repeated-dose toxicity, by classifying toxic substances based on their structures and mechanism of actions (MoAs). Hemolytic anemia, which often appears primarily, was examined as an example. An integrated database was constructed by collecting publicly available datasets on repeated-dose toxicity, in which 423 out of a total of 1518 chemicals were identified as capable of inducing hemolytic anemia. Subsequently, by grouping these chemicals based on their chemical structures and plausible MoAs on hemolytic substances, we identified the following categories: (i) anilines, (ii) nitrobenzenes, (iii) nitroanilines, (iv) dinitroanilines, (v) ethylene glycol alkyl ethers, (vi) hydroquinones, (vii) oximes, and (viii) hydrazines. In these categories, the toxicant and the measurable key events leading to hematotoxicity were identified, thereby allowing us to justify the categories and to discriminate the category substances. Moreover, toxicokinetics seems to critically affect the hemolytic levels of the category substances. Overall, the categories were validated through a comprehensive analysis of the collected information, while the utility was demonstrated by conducting a case study on the selected category. Further endeavors with this approach would attain categories for other organ toxicity endpoints.

OBJECTIVE: The objective of this study was to determine if hemodialysis patients who have undergone an invasive dental treatment are at risk of developing infective endocarditis.
METHODS: This study was a cohort case-control design and used secondary data collected from the National Health Insurance Research Database of Taiwan. The case group and the control group were each comprised of 19,602 hemodialysis patients. The control group was matched for four variables: age, gender, a medical history of diabetes mellitus, and a cerebrovascular event. After matching, the case group and the control group were each comprised of 19,602 hemodialysis patients. Cox regression analysis determined hazard ratios and 95% confidence intervals.
RESULTS: Patients were followed up at 1 month and 3 months after receiving invasive dental treatment. The results showed the cohort case-control hazard ratio was 0.88 (95% CI, 0.49, 1.57) 1 month after receiving invasive dental treatment. Three months after receiving IDT, the cohort case-control hazard ratio was 1.04 (95% CI, 0.71, 1.52). Hazard ratios did not differ significantly between groups.
CONCLUSIONS: Hemodialysis patients who received invasive dental treatment had no greater risk of developing infective endocarditis than matched control patients. The results of this study should alleviate concerns for hemodialysis patients and dentists about invasive dental treatment procedures. We recommend hemodialysis patients undergo invasive dental treatment when needed.
CONCLUSIONS: The results of this study showed that invasive dental treatment did not increase their risk of developing infective endocarditis. Hemodialysis patients in need of an invasive dental procedure should be encouraged to undergo treatment if the dentist deems it necessary.