Relationship between Anaplastic Lymphoma Kinase Inhibitors and Epileptic Seizure Disorder: A Post-Marketing Surveillance Study.

INTRODUCTION: Anaplastic lymphoma kinase (ALK) has been to be involved in the uptake and regulation of dopamine 2 receptor (D2R), a G protein-coupled receptor expressed in various brain regions. Therefore, it is crucial to understand the relationship between ALK inhibitors and seizures is an important issue. This study investigated the relationship between ALK inhibitors and seizures. METHODS: This study investigated the relationship between ALK inhibitors and seizures through a disproportionality analysis using the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). The target drugs were the ALK inhibitors crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib. The seizures covered were defined high-level group term (HLGT): "Seizures (incl. subtype)" including high-level term (HLT): "seizures and seizure disorders NEC." This study used the information component (IC), a signal score, as a Bayesian statistical method for disproportionality analysis. The signal detection criteria used in this study were the same as those reported previously: a lower limit of 95% credible interval (CrI) for IC >0. RESULTS: The signal scores of '"seizures and seizure disorders not elsewhere classified (NEC)" "for each ALK inhibitor were crizotinib (IC: -0.00052, 95% CrI: -0.38-0.27), ceritinib (IC: 1.18, 95% CrI: 0.68-1.54), alectinib (IC: 0.68, 95% CrI: 0.19-1.02), brigatinib (IC: 1.04, 95% CrI: 0.32-1.54), and lorlatinib (IC: 0.82, 95% CrI: 0.11-1.32). On the other hand, "generalized tonic-clonic seizures," "partial simple seizures NEC," "absence seizures," and "partial complex seizures" had no or few reported cases, and no signal was detected. CONCLUSION: To our knowledge, this is the first report to evaluate the relationship between ALK inhibitors and seizures using post-marketing surveillance data. These results suggest that ceritinib, alectinib, brigatinib, and lorlatinib, which are highly brain-migrating drugs, are associated with seizures.

Safety evaluation of lenvatinib treatment after atezolizumab plus bevacizumab therapy for patients with unresectable liver cancer: A comparison of lenvatinib as 1st­ or 2nd­line treatment.

Atezolizumab plus bevacizumab (Atez/BV) as first-line therapy and lenvatinib (LEN) as second-line therapy are the recommended treatments for patients with unresectable hepatocellular carcinoma. Adverse immune events caused by immune checkpoint inhibitors (such as Atez) generally only occur several months after administration; therefore, the potential influence of the first-line treatment on second-line treatment is not clear. The present study investigated the safety of second-line LEN treatment (2nd LEN) by comparing the adverse events (AEs) of 2nd LEN after first-line Atez/BV treatment for unresectable liver cancer, with those of first-line LEN treatment (1st LEN). Patients who received Atez/BV as first-line therapy and 2nd LEN, or those who received 1st LEN at Ogaki Municipal Hospital (Ogaki, Japan) between April 2018 and September 2023 were retrospectively evaluated for treatment duration and AEs. The median treatment duration for patients in the 1st LEN (n=39) and 2nd LEN (n=13) groups was 151.0 days [95% confidence interval (CI) 77-303 days] and 128.5 days (95% CI 68-270 days), respectively (P=0.385). A greater proportion of patients showed elevated aspartate aminotransferase/alanine aminotransferase levels in the 2nd LEN group (76.9%) compared with those in the 1st LEN group (46.2%) (P=0.016). Hypothyroidism was more common in those receiving 2nd LEN (46.2%) than 1st LEN (12.8%) (P=0.016). In addition, grade 1 (three patients) and grade 2 (three patients) hypothyroidism was observed in patients receiving 2nd LEN. For these six patients, during first-line Atez/BV treatment, four patients had grade 0 hypothyroidism and two patients had grade 1 hypothyroidism (P=0.025). In conclusion, patients receiving 2nd LEN after treatment with Atez/BV are at an increased risk of hypothyroidism.

Detection Algorithms for Gastrointestinal Perforation Cases in the Medical Information Database Network (MID-NET®) in Japan.

BACKGROUND: The Medical Information Database Network (MID-NET®) in Japan is a vast repository providing an essential pharmacovigilance tool. Gastrointestinal perforation (GIP) is a critical adverse drug event, yet no well-established GIP identification algorithm exists in MID-NET®. METHODS: This study evaluated 12 identification algorithms by combining ICD-10 codes with GIP therapeutic procedures. Two sites contributed 200 inpatients with GIP-suggestive ICD-10 codes (100 inpatients each), while a third site contributed 165 inpatients with GIP-suggestive ICD-10 codes and antimicrobial prescriptions. The positive predictive values (PPVs) of the algorithms were determined, and the relative sensitivity (rSn) among the 165 inpatients at the third institution was evaluated. RESULTS: A trade-off between PPV and rSn was observed. For instance, ICD-10 code-based definitions yielded PPVs of 59.5%, whereas ICD-10 codes with CT scan and antimicrobial information gave PPVs of 56.0% and an rSn of 97.0%, and ICD-10 codes with CT scan and antimicrobial information as well as three types of operation codes produced PPVs of 84.2% and an rSn of 24.2%. The same algorithms produced statistically significant differences in PPVs among the three institutions. Combining diagnostic and procedure codes improved the PPVs. The algorithm combining ICD-10 codes with CT scan and antimicrobial information and 80 different operation codes offered the optimal balance (PPV: 61.6%, rSn: 92.4%). CONCLUSION: This study developed valuable GIP identification algorithms for MID-NET®, revealing the trade-offs between accuracy and sensitivity. The algorithm with the most reasonable balance was determined. These findings enhance pharmacovigilance efforts and facilitate further research to optimize adverse event detection algorithms.

Comparison of Safety and Treatment Continuity of Palbociclib and Abemaciclib for Hormone Receptor-Positive, HER2-Negative Metastatic/Recurrent Breast Cancer.

Background: Appropriate adverse event (AE) management and maintenance of therapeutic intensity are necessary to achieve therapeutic benefits of CDK4/6 inhibitors (palbociclib and abemaciclib) in hormone receptor-positive, HER2-negative metastatic/recurrent breast cancer. Objective: This study was aimed at clarifying the effect of AEs associated with palbociclib and abemaciclib on treatment. Methods: A total of 62 and 49 patients were prescribed palbociclib and abemaciclib, respectively, at our hospital from January 1, 2018 to June 30, 2023. The rate and reasons for treatment discontinuation, interruption of administration, and changes in dose and dosing schedule, treatment duration, and relative dose intensity (RDI) were compared between the groups of patients prescribed the 2 treatments. Results: Treatment discontinuation due to AEs occurred more frequently with abemaciclib (12 patients) because of interstitial lung disease and hepatic and renal events than with palbociclib (5 patients; P = .008). Administration was interrupted in 57 (91.9%) and 35 (71.4%) patients treated with palbociclib and abemaciclib, respectively (P = .004). Dose reduction occurred in 37 (67.3%) and 19 (47.5%) patients treated with palbociclib and abemaciclib, respectively (P = .053). The median [range] treatment duration was 301 [21-1643] days for palbociclib and 238 [70-1526] days for abemaciclib (log-rank test, P = .581). The median RDI was 59.7% and 59.6% for palbociclib and abemaciclib, respectively (P = .539). Although the AEs of palbociclib and abemaciclib affected the treatment considerably, the treatment duration and RDI were similar. Conclusion: CDK4/6 inhibitors should be selected based on the tolerability and manageability of each AE.

Association between CDK4/6 inhibitors and drug-related osteonecrosis of the jaw: A pharmacoepidemiological study using the FDA Adverse Events Reporting System.

The most common toxicities associated with cyclin-dependent kinase (CDK) 4/6 inhibitor therapy include decreased leukopenia and neutropenia due to the inhibition of CDK6 of leukocyte and neutrophil precursors in bone marrow. These hematological toxicities are more commonly observed with palbociclib administration than with abemaciclib administration, which is approximately 13 times more selective against CDK4 than CDK6. Thus, even though both successfully inhibit CDK4/6, the side effects of palbociclib and abemaciclib differ due to differences in selectivity. Recent reports have suggested an association between palbociclib and medication-related osteonecrosis of the jaw; however, reports on this association are inconsistent. This study investigated the potential association of palbociclib and abemaciclib with MRONJ using the FAERS. Signals of "Osteonecrosis of jaw" were detected only in females using palbociclib (cROR025: 2.08). Other signals detected included stomatitis-related adverse events with abemaciclib and intraoral soft tissue damage and infection with palbociclib. As previous exploratory studies have reported MRONJ signals for bisphosphonates and denosumab, we calculated the aROR for palbociclib-induced osteonecrosis of the jaw using concomitant bisphosphonates and denosumab as covariates. A signal was detected even after adjusting for sex, age, and concomitant medications as covariates (aROR0025: 5.74). A proper understanding of the differences in CDK selectivity is necessary for the appropriate use of CDK4/6 inhibitors. To the best of our knowledge, this is the first report on CDK4/6 inhibitors and drug-related osteonecrosis of the jaw. We believe that these results will offer new insights into adverse events related to the use of CDK4/6 inhibitors, and may aid in the proper use of CDK4/6 inhibitors.

Evaluation of Atezolizumab Plus Bevacizumab Versus Modified Lenvatinib Therapy in Child-Pugh A Unresectable Hepatocellular Carcinoma.

Background/Aim: Atezolizumab/bevacizumab (Atez/BV) and lenvatinib (LEN) are the recommended first-line treatments for patients with unresectable hepatocellular carcinoma (HCC). Previous reports have suggested that the tolerability and therapeutic efficacy of LEN could be enhanced by modifying its administration method. Therefore, this study compared the efficacy and safety of Atez/BV, the standard LEN therapy (standard LEN), and modified LEN therapy (modified LEN). Patients and Methods: The overall survival (OS) and the rate of discontinuation due to adverse events (AEs) were compared between groups treated with Atez/BV (n=36), standard LEN (n=30), and modified LEN (n=11). Results: Discontinuation due to AEs was required in 22.2%, 23.3%, and 9.1% of patients in the Atez/BV, standard LEN, and modified LEN groups (p=0.485). The median OS for the Atez/BV, standard LEN, and modified LEN groups was 523 [95% confidence interval (CI)=163-818], 382 (95%CI=330-547), and 604 (95% CI=257-656) days, respectively (log-rank test, p=0.949). Conclusion: Atez/BV and the standard and modified LEN regimens showed comparable efficacy and safety.

[Exploration of Risk Factors of the Onset of Antibiotics-induced Acute Kidney Injury and Its Transfer to Chronic Kidney Disease Using the Medical Information Database].

Drug-induced acute kidney injury (AKI) is a serious adverse drug reaction, which results in a significant decline in renal function and is known to progress to chronic kidney disease (CKD). Therefore, appropriate drug therapy is important to avoid the risk of drug-induced AKI and CKD, which are serious concerns in clinical practice. In this study, using the medical information database of Hamamatsu University Hospital, we investigated the risk factors that accelerate the onset of drug-induced AKI or its progression to CKD in patients who received aminoglycoside antibiotics (AGs) or glycopeptide antibiotics (GPs), which are strongly associated with drug-induced AKI and CKD. We performed logistic regression analysis using patients' background, laboratory test results, and concomitant drug use, among other such factors as explanatory variables and drug-induced AKI or CKD onset as objective variables to explore the risk factors for drug-induced AKI and CKD. Our results showed that co-administration of amphotericin B, piperacillin-tazobactam and other AGs and GPs, increased serum creatinine (Scr) and chloride concentrations, serum lactate dehydrogenase activity, and decreased serum albumin concentration were risk factors for drug-induced AKI onset. Moreover, a reduced blood urea nitrogen : Scr ratio at drug-induced AKI onset served as a risk factor for CKD. These results suggest that careful monitoring of the aforementioned factors is important to ensure appropriate usage of these drugs in patients treated with AGs and GPs.

Model for classification of heart failure severity in patients with hypertrophic cardiomyopathy using a deep neural network algorithm with a 12-lead electrocardiogram.

OBJECTIVES: In hypertrophic cardiomyopathy (HCM), specific ECG abnormalities are observed. Therefore, ECG is a valuable screening tool. Although several studies have reported on estimating the risk of developing fatal arrhythmias from ECG findings, the use of ECG to identify the severity of heart failure (HF) by applying deep learning (DL) methods has not been established. METHODS: We assessed whether data-driven machine-learning methods could effectively identify the severity of HF in patients with HCM. A residual neural network-based model was developed using 12-lead ECG data from 218 patients with HCM and 245 patients with non-HCM, categorised them into two (mild-to-moderate and severe) or three (mild, moderate and severe) severities of HF. These severities were defined according to the New York Heart Association functional class and levels of the N-terminal prohormone of brain natriuretic peptide. In addition, the patients were divided into groups according to Kansas City Cardiomyopathy Questionnaire (KCCQ)-12. A transfer learning method was applied to resolve the issue of the low number of target samples. The model was trained in advance using PTB-XL, which is an open ECG dataset. RESULTS: The model trained with our dataset achieved a weighted average F1 score of 0.745 and precision of 0.750 for the mild-to-moderate class samples. Similar results were obtained for grouping based on KCCQ-12. Through data analyses using the Guided Gradient Weighted-Class Activation Map and Integrated Gradients, QRS waves were intensively highlighted among true-positive mild-to-moderate class cases, while the highlighted part was highly variable among true-positive severe class cases. CONCLUSIONS: We developed a model for classifying HF severity in patients with HCM using a deep neural network algorithm with 12-lead ECG data. Our findings suggest that applications of this DL algorithm for using 12-lead ECG data may be useful to classify the HF status in patients with HCM.

Pituitary-Related Adverse Events and Onset Patterns Caused by Immune Checkpoint Inhibitors: Analysis Using the Japanese Adverse Drug Event Report Database.

Background and Objectives: One type of immune-related adverse event caused by immune checkpoint inhibitors (ICIs) is pituitary-related adverse events. The management of pituitary-related adverse events is important because they can be fatal if not treated promptly. Therefore, this study was conducted to investigate the onset of pituitary-related adverse events using the Japanese Adverse Drug Report (JADER) database. Materials and Methods: Cases registered in the JADER database from 2004 to 2019 were used. The target drugs were ipilimumab, nivolumab, pembrolizumab, avelumab, atezolizumab, and durvalumab, and the target adverse events were the high-level terms "Anterior pituitary hypofunction," "Anterior pituitary hyperfunction," "Posterior pituitary disorder," and "Pituitary neoplasm" in the Medical Dictionary for Regulatory Activities, Japanese version (MedDRA/J). The information component (IC) was used for signal detection and IC delta (ICΔ) was used for women-related signals. Onset timing and patterns were analyzed using the Weibull distribution. Results: Signals were detected with ipilimumab, nivolumab, pembrolizumab, and atezolizumab in "Anterior pituitary hypofunction," with ICs and 95% credible intervals (95%CrI) of 5.53 (5.30-5.69), 4.96 (4.79-5.08), 4.04 (3.76-4.25), and 2.40 (1.53-3.00). Significant signals were detected in women, except for atezolizumab. Additionally, the time of onset was classified as the wear-out failure type. Inverse signals were detected with ipilimumab and nivolumab in "Posterior pituitary disorder," with ICs (95%CrI) of -1.24 (-2.80--0.26), and -0.89 (-1.64--0.37). Conclusions: Anterior pituitary hypofunction is likely to occur with the long-term administration of ipilimumab, nivolumab, and pembrolizumab. Further investigation is needed to determine the differences in the tendencies to detect signals in the anterior and posterior pituitaries between ipilimumab and nivolumab.

Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.

Deep learning technology has been used in the medical field to produce devices for clinical practice. Deep learning methods in cytology offer the potential to enhance cancer screening while also providing quantitative, objective, and highly reproducible testing. However, constructing high-accuracy deep learning models necessitates a significant amount of manually labeled data, which takes time. To address this issue, we used the Noisy Student Training technique to create a binary classification deep learning model for cervical cytology screening, which reduces the quantity of labeled data necessary. We used 140 whole-slide images from liquid-based cytology specimens, 50 of which were low-grade squamous intraepithelial lesions, 50 were high-grade squamous intraepithelial lesions, and 40 were negative samples. We extracted 56,996 images from the slides and then used them to train and test the model. We trained the EfficientNet using 2,600 manually labeled images to generate additional pseudo labels for the unlabeled data and then self-trained it within a student-teacher framework. Based on the presence or absence of abnormal cells, the created model was used to classify the images as normal or abnormal. The Grad-CAM approach was used to visualize the image components that contributed to the classification. The model achieved an area under the curve of 0.908, accuracy of 0.873, and F1-score of 0.833 with our test data. We also explored the optimal confidence threshold score and optimal augmentation approaches for low-magnification images. Our model efficiently classified normal and abnormal images at low magnification with high reliability, making it a promising screening tool for cervical cytology.

Evaluation of the therapeutic effects and tolerability of modified lenvatinib administration methods for unresectable hepatocellular carcinoma: A preliminary study.

Lenvatinib (LEN), a multitarget tyrosine kinase inhibitor, is a standard therapeutic agent for hepatocellular carcinoma, but the high incidence of adverse events (AEs) related to LEN treatment often necessitates treatment discontinuation. The present study aimed to clarify the therapeutic efficacy and tolerability of modified LEN dosing methods, such as alternate-day dosing, necessitated by AEs of LEN. A total of 66 patients who received LEN at Ogaki Municipal Hospital (Ogaki, Japan) between April 2018 and January 2022 were retrospectively evaluated. These patients were divided into those who completed treatment with the standard administration method (standard LEN, n=48) and those who changed from the standard administration method to a modified administration method in the middle of treatment [modified LEN (weekends off/alternate days), n=18]. The treatment duration and reasons for discontinuation of LEN treatment were analysed. The discontinuation rate due to AEs in the modified LEN group (1 patient) was less compared with that in the standard LEN group (16 patients) (P=0.022). The median treatment duration for patients in the standard LEN (n=48), modified LEN (weekends off, n=6) and modified LEN (alternate days, n=12) groups was 71 [95% confidence interval (CI) 55-134], 483 (95% CI: 193-644) and 222 (95% CI: 98-303) days, respectively (P=0.044). Modification of the administration method ensured fewer AE-related treatment discontinuations. However, weekends off dosing showed a longer treatment duration compared with standard dosing, whereas alternate day dosing showed no difference from standard dosing.

Analysis of adverse events leading to dose reduction/interruption of lenvatinib treatment in patients with Child-Pugh B unresectable hepatocellular carcinoma.

INTRODUCTION: We aimed to compare the safety of lenvatinib as first-line treatment for unresectable hepatocellular carcinoma (HCC) in patients with Child-Pugh A (CP-A) and Child-Pugh B (CP-B) and to determine the adverse events (AEs) that cause dose reduction/interruption of treatment in patients with CP-B. METHODS: Sixty-six patients with lenvatinib as a first-line treatment for HCC at Ogaki Municipal Hospital (Ogaki, Japan) between April 2018 and January 2022 were retrospectively evaluated. We analyzed the treatment duration, AEs, and reasons for dose reduction/interruption associated with lenvatinib treatment in patients with CP-A and CP-B HCC. RESULTS: The CP-B group had significantly more cases of grade ≥ 2 fatigue and anorexia than the CP-A group (p = 0.045 and p = 0.042, respectively). Regarding AEs that caused dose reduction/interruption of treatment, the CP-A group had significantly more cases of proteinuria than the CP-B group (p = 0.015), whereas the CP-B group had significantly more cases of hand-foot syndrome (HFS) than the CP-A group (p = 0.013). CONCLUSION: Patients with CP-B have greater difficulty than patients with CP-A in continuing treatment with repeated dose reductions/interruption of treatment due to intolerable grade ≥ 2 AEs (fatigue and anorexia). HFS is more likely to cause dose reduction/interruption of treatment in CP-B than in CP-A unresectable HCC.

[Incidence of Immune-Related Adverse Events after Switching from a Conventional Regimen of Nivolumab and Pembrolizumab to the Extended Dosing Interval Regimen].

A new nivolumab and pembrolizumab monotherapy regimen with double the conventional dose and longer dosing intervals( the new regimen)has been approved. Here, we report the incidence of immune-related adverse events(irAEs)in the early phase of switching from the conventional regimen to the new regimen at Ogaki Municipal Hospital. Thirty-seven patients switched to the new regimen between October 2020 and February 2021: 7(18.9%)switched to nivolumab and 5 (14.3%)to pembrolizumab. Two of the 7 patients treated with nivolumab developed irAEs. One patient developed Grade 3 colitis on day 51 following the switch to the new regimen, and the treatment was discontinued. The other patient developed Grade 3 adrenal insufficiency on day 72 and was hospitalized. No irAEs were observed with pembrolizumab treatment. These results suggest that high-severity grade irAEs may occur early after switching to the new regimen.

Surveys Aimed at General Citizens of the US and Japan About Their Attitudes Toward Electronic Medical Data Handling - 10 Years Change, Before and After Covid-19.

OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerning handling of their medical records electronically, disclosure of the name of disease, secondary usage of information, compiling their records into a lifelong medical record, access to their medical records on the internet, questionnaire filling for delicate history, comprehensive consent for laboratory results, chart and genome profile, and AI use in diagnosis and explanation. METHODS: The authors contacted people nationwide in the United States at random via Random Digit Dialing (RDD) in 2008. Same questionnaire plus some new items were surveyed in 2022 by mail invited web entry. The authors had also surveyed people in Japan in 2007 and 2017 using same questionnaires sent by mail. RESULTS: In US, accessing own chart by internet became accepted (positive 52% to 61%) and popular in these 14 years. Japan showed small change, as regional medical record sharing is yet to come. About medical records in un-identifiable manner to be used for the purpose of medical error precautions, infectious disease measures and device/drug developments, in US, positive answers are constantly low, even for infectious disease prevention like CoVID-19. About preference to compile medical record into one file as a lifelong medical record, sharp contrast was observed. US people became favor of lifelong record (46% to 71%), while Japanese people decreased (76% to 57%). As for comprehensive consent, Japan positive answers are more than US for all situations, except if genome profile is included. US answers are almost same, even genome profile is included. About AI (artificial intelligence) application to healthcare, both US and Japan survey showed best preferred is "Doctor may use AI and everything, and explains in person". Japanese people largely prefer explanation in person, while US showed small preference.

Medical Image Sharing in Japan.

This paper reports the history, background including politics, current status of Japan's health imaging study and other information sharing. Its realization was slow until the Ministry of Health, Labour and Welfare (MHLW) started paying digital image storage at the same rate as films in 2008. Information sharing was initiated in early 2010s, which was before vendors became ready for Integrating the Healthcare Enterprise (IHE) cross-enterprise document sharing (XDS), with the result that most of 34 large regional sharing systems are in non-standardized protocol. One standardized example is the Hamamatsu area where inexpensive online PDI (portable data for imaging) was introduced.

[Comparative Safety Assessment of Ramucirumab plus FOLFIRI and Bevacizumab plus FOLFIRI in Second- and Later-Line Treatment in Japanese Patients with Metastatic Colorectal Carcinoma].

The addition of anti-angiogenic agents to cytotoxic agents to improve outcomes has become the standard treatment for metastatic colorectal carcinoma. In this study, we evaluated the safety of bevacizumab plus FOLFIRI with that of ramucirumab plus FOLFIRI in second- and later-line treatment in Japanese patients with metastatic colorectal carcinoma. Patients who received ramucirumab or bevacizumab as a second- and later-line treatment between January 2016 and March 2020 were included. Treatment regimens, body surface area, dosage, number of treatment courses, and adverse events( AEs) were evaluated. There were 66 and 17 patients in the bevacizumab plus FOLFIRI and ramucirumab plus FOLFIRI groups, respectively. All patients developed AEs. AEs of grade 3/4 were documented in 84.8% and 100% of the patients in the bevacizumab plus FOLFIRI and ramucirumab plus FOLFIRI groups, respectively. Progressive disease was the most common reason for treatment discontinuation in both groups. Twelve (18.2%) and 5 (29.4%) patients in the bevacizumab plus FOLFIRI and ramucirumab plus FOLFIRI groups, respectively, discontinued treatment due to AEs. The most common AEs leading to discontinuation were malaise and decreased performance status. The findings of our study indicated that both bevacizumab plus FOLFIRI and ramucirumab plus FOLFIRI groups have a high incidence of AEs, and that medical professionals need to be aware of the frequent development of malaise and decreased performance status.

The International Academy of Health Sciences Informatics: 2021 Update.

OBJECTIVES: To summarize the activities of the International Academy of Health Sciences Informatics (IAHSI) in 2021 and welcome its 2021 Class of Fellows. METHODS: Report on governance, strategic directions, newly elected fellows, plenary meetings, and other activities of the Academy. RESULTS: As in 2020, all of the Academy's activities were carried out virtually due to the COVID-19 pandemic. In 2021, new Board members were elected. Strategic activities in data standards and interoperability and in mentorship moved forward. A new class of 26 Fellows was elected, bringing the total membership of the Academy to 204 Fellows from all regions of the world. In addition, a virtual plenary meeting was held. CONCLUSIONS: The Academy has continued to pursue its role as the honorific society globally for biomedical and health informatics. Expansion of strategic activities and membership will continue moving forward.

Elucidation of optimal proteinuria management based on the risk of ramucirumab-induced proteinuria.

Proteinuria is a dose-limiting adverse effect of ramucirumab treatment, which is an anti-angiogenic agent that targets the human vascular endothelial growth factor. The predictors of proteinuria have not been completely elucidated and there is currently no consensus. The present study aimed to identify the risk factors for ramucirumab-induced proteinuria and to determine an optimal proteinuria management. A total of 145 patients who received ramucirumab at Ogaki Municipal Hospital (Ogaki, Japan) between September 2015 and March 2021 were retrospectively studied. Multivariate logistic regression analysis was conducted to evaluate the association between the patient baseline characteristics and the development of proteinuria following ramucirumab treatment. Furthermore, the time of proteinuria onset and of the worst qualitative proteinuria were recorded. Proteinuria (>2+) following ramucirumab was independently associated with lung cancer [odd ratio (OR): 0.232, 95% confidence interval (CI): 0.061-0.874; P=0.031] and proteinuria at the start of treatment [qualitative test (+/-); OR: 4.760, 95% CI: 1.360-16.700; P=0.041]. The median time of onset of proteinuria was 56 days (time range, 7-414 days), and the median time when the worst qualitative results were observed was 83 days (time range, 7-442 days). The >2+ proteinuria in the qualitative test was observed in 27 out of the 82 patients with gastric cancer (P=0.041), 8/21 patients with colon cancer (P=0.188), and in 3 out of the 37 patients with lung cancer (P=0.003). The prevalence of proteinuria was low in patients with lung cancer, and proteinuria (>2+) was likely to occur when the proteinuria at the start of ramucirumab was (+/-) by qualitative test. The results from the present study indicated that particular attention should be paid to proteinuria at the start of treatment when monitoring proteinuria as an adverse event of ramucirumab treatment.

MIHARI project, a preceding study of MID-NET, adverse event detection database of Ministry Health of Japan-Validation study of the signal detection of adverse events of drugs using export data from EMR and medical claim data.

We studied the effectiveness of the direct data collection from electronic medical records (EMR) when it is used for monitoring adverse drug events and also detection of already known adverse events. In this study, medical claim data and SS-MIX2 standardized storage data were used to identify four diseases (diabetes, dyslipidemia, hyperthyroidism, and acute renal failure) and the validity of the outcome definitions was evaluated by calculating positive predictive values (PPV). The maximum positive predictive value (PPV) for diabetes based on medical claim data was 40.7% and that based on prescription data from SS-MIX2 Standardized Storage was 44.7%. The PPV for dyslipidemia was 50% or higher under either of the conditions. The PPV for hyperthyroidism based on disease name data alone was 20-30%, but exceeded 60% when prescription data was included in the evaluation. Acute renal failure was evaluated using information from medical records in addition to the data. The PPV for acute renal failure based on the data of disease names and laboratory examination results was slightly higher at 53.7% and increased to 80-90% when patients who previously had a high serum creatinine (Cre) level were excluded. When defining a disease, it is important to include the condition specific to the disease; furthermore, it is very useful if laboratory examination results are also included. Therefore, the inclusion of laboratory examination results in the definitions, as in the present study, was considered very useful for the analysis of multi-center SS-MIX2 standardized storage data.