Bystanders' Willingness to Perform Basic Life Support and Its Relationship with Facilitative and Obstructive Factors: A Nationwide Survey in Japan.

Background: The administration of basic life support (BLS) by bystanders is essential to improve the survival rates of patients who have experienced out-of-hospital cardiac arrest (OHCA). Although providing BLS to individuals who experience OHCA greatly improves their chances of survival, the actual implementation rate is low. Therefore, we investigated the association between bystanders' willingness to perform BLS and facilitative/obstructive factors with the objective of identifying educational methods that would improve the likelihood of bystanders performing BLS should they encounter a patient with OHCA. Methods: The study participants included 502 male and 498 female Japanese residents (total, 1000 participants) with no experience in performing BLS and 42 male and 59 female Japanese residents (total 101 participants) with experience in performing BLS. The participants were aged 15-65 years. Both groups graded the strength of their willingness to perform BLS in the future on a 4-point scale, as well as their level of agreement with factors facilitating or obstructing their willingness to perform BLS. These factors were established based on the theory of helping behavior, which defines psychological states when helping others in social psychology.We then analyzed the associations between willingness to perform BLS in the future and their level of agreement with factors facilitating or obstructing their willingness to perform BLS. Results: The willingness to perform BLS decreased in accordance with the increase in the level of intervention required for patients who experienced OHCA , and was significantly associated with four facilitating factors: sufficient ability and experience to perform BLS, personal advantage, high personal norms, and psychological closeness to the patient. Conclusion: Our results suggested that workshops and other educational activities focused on these facilitative factors may be helpful in increasing the rate at which bystanders perform BLS.

Factors Related to Young People's Willingness to Perform Basic Life Support.

Background: Survival rates increase when basic life support (BLS) is provided by bystanders to patients with acute diseases, such as out-of-hospital cardiac arrest; however, its implementation rate is not high. In this study, we investigated "interest on BLS," "knowledge on BLS," and "experience on BLS" as factors related to the willingness to implement BLS among junior high school, high school, and college students who have multiple opportunities to learn it. Methods: This is an observational study using a questionnaire survey. The participants were 112 junior high school students, 114 high school students, and 109 university students (non-medical), totaling 294 (87.8% response rate). The questionnaire listed three items on the strength of willingness to perform BLS, three items on attributes of the participant, four items on the score of interest on BLS, one item on the score of knowledge on BLS, and two items on the score of experience on BLS. Results: Among junior high school students, the factors that were significantly associated with the willingness to perform BLS were "Presence of someone who died" and "Interest on BLS" score. Among high school and college students, the factors that were significantly associated with the willingness to perform BLS were "Interest on BLS" and "Knowledge on BLS" scores. Conclusion: For junior high school students, creating an environment in which they can visualize the actual situation may increase their interest, whereas for high school and university students, in addition to such an environment, conducting seminars of short duration may help them to consolidate their knowledge and increase their willingness to implement BLS.

Developing Artificial Intelligence Models for Extracting Oncologic Outcomes from Japanese Electronic Health Records.

INTRODUCTION: A framework that extracts oncological outcomes from large-scale databases using artificial intelligence (AI) is not well established. Thus, we aimed to develop AI models to extract outcomes in patients with lung cancer using unstructured text data from electronic health records of multiple hospitals. METHODS: We constructed AI models (Bidirectional Encoder Representations from Transformers [BERT], Naïve Bayes, and Longformer) for tumor evaluation using the University of Miyazaki Hospital (UMH) database. This data included both structured and unstructured data from progress notes, radiology reports, and discharge summaries. The BERT model was applied to the Life Data Initiative (LDI) data set of six hospitals. Study outcomes included the performance of AI models and time to progression of disease (TTP) for each line of treatment based on the treatment response extracted by AI models. RESULTS: For the UMH data set, the BERT model exhibited higher precision accuracy compared to the Naïve Bayes or the Longformer models, respectively (precision [0.42 vs. 0.47 or 0.22], recall [0.63 vs. 0.46 or 0.33] and F1 scores [0.50 vs. 0.46 or 0.27]). When this BERT model was applied to LDI data, prediction accuracy remained quite similar. The Kaplan-Meier plots of TTP (months) showed similar trends for the first (median 14.9 [95% confidence interval 11.5, 21.1] and 16.8 [12.6, 21.8]), the second (7.8 [6.7, 10.7] and 7.8 [6.7, 10.7]), and the later lines of treatment for the predicted data by the BERT model and the manually curated data. CONCLUSION: We developed AI models to extract treatment responses in patients with lung cancer using a large EHR database; however, the model requires further improvement.

The use of artificial intelligence (AI) to derive health outcomes from large electronic health records is not well established. Thus, we built three different AI models: Bidirectional Encoder Representations from Transformers (BERT), Naïve Bayes, and Longformer to serve this purpose. Initially, we developed these models based on data from the University of Miyazaki Hospital (UMH) and later improved them using the Life Data Initiative (LDI) data set of six hospitals. The performance of the BERT model was better than the other two, and it showed similar results when it was applied to the LDI data set. The Kaplan­Meier plots of time to progression of disease for the predicted data by the BERT model showed similar trends to those for the manually curated data. In summary, we developed an AI model to extract health outcomes using a large electronic health database in this study; however, the performance of the AI model could be improved using more training data.

A case of IgG4-related tubulointerstitial nephritis concurrent with Henoch-Schönlein purpura nephritis.

We describe a 72-year-old man, who had been suffered from Henoch-Schönlein purpura (HSP) several times, presented with hematoproteinuria with granular cast, and general lymphadenopathy. The immunological examination of the serum showed polyclonal hypergammagloburinemia with high value of IgG4. The renal biopsy revealed interstitial inflammatory cell infiltration, including infiltration of lymphocytes and plasma cells, and segmental glomerulonephritis. Direct immunofluorescence microscopy revealed apparent positive staining with anti-human IgA, and anti-human IgG in glomeruli, anti-human IgG4 antibody staining showed many positive plasma cells in the interstitium. The patient was diagnosed with HSP nephritis that was complicated by IgG4-related nephropathy. As a result of the treatment with 30mg prednisolone, the swelling of the LNs decreased, but the patient continued to have persistent hematoproteinuria.

Membranoproliferative glomerulonephritis-like glomerular disease and concurrent tubulointerstitial nephritis complicating IgG4-related autoimmune pancreatitis.

Autoimmune pancreatitis is characterized by diffuse enlargement of the pancreas, irregular narrowing of the pancreatic duct, high serum levels of IgG4, and lymphoplasmacytic infiltration in the pancreatic parenchyma. Accumulating evidence suggests that this autoimmune disease could present with diffuse infiltration of IgG4-positive plasmacytes in multiple organs. Recently, a new concept of IgG4-related systemic disease including autoimmune pancreatitis, characterized by high serum IgG4 level and tissue infiltration by IgG4-positive plasma cells, has been proposed. Renal lesions in IgG4-related diseases have been reported recently. Most of them are tubulointerstitial nephritis; however, glomerulonephritis associated with IgG4-related diseases is very rare. We describe here a patient with membranoproliferative glomerulonephritis-like glomerular disease, together with tubulointerstitial nephritis, idiopathic thrombocytopenic purpura, and autoimmune pancreatitis. An 80-year-old Japanese man was referred to our hospital with a 14-month history of proteinuria, and a progressively rising serum creatinine level. Renal biopsy revealed membranoproliferative glomerulonephritis-like glomerular disease and concurrent tubulointerstitial nephritis. Immunolabeling of renal tissue showed numerous IgG4-positive plasma cells in the interstitium. The rare association between glomerulonephritis and IgG4-related systemic disease is discussed.

Relationship of predialytic intact parathyroid hormone on secondary hyperparathyroidism in chronic maintenance haemodialysis patients.

METHODS AND RESULTS: In order to clarify the predialytic factors influencing the onset of secondary hyperparathyroidism (SHPT) in patients on chronic maintenance haemodialysis, the time-course changes of serum levels of intact-PTH (i-PTH) during haemodialysis for 5 years were investigated. The subjects were 69 non-diabetic patients who had a serum aluminium level of less than 1.85 nmol/L at the end of observation. Patients were divided into two groups based on i-PTH levels obtained at the start of dialysis; the high group (H group) consisted of patients whose i-PTH levels were more than 22.00 pmol/L, the low group (L group) had levels less than 22.00 pmol/L. In the H group, i-PTH was 41.46 +/- 2.87 pmol/L at the start of dialysis (vs L group, P < 0.0001) and 15.82 +/- 2.85 pmol/L after haemodialysis initiation. In the L group, i-PTH levels did not significantly change and was 11.69 +/- 2.50 pmol/L 12 months after the start of dialysis (at the 12th month). However, at the 60th month, the i-PTH level was 33.24 +/- 5.30 pmol/L in the H group, and 9.85 +/- 2.13 pmol/L in the L group (P < 0.005). CONCLUSION: It is suggested that control of i-PTH levels in the predialytic period may be important to suppress SHPT throughout haemodialysis.