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AIM: The importance of comprehensive geriatric assessment (CGA) is increasing in aging societies worldwide. However, there are few comprehensive studies on CGA, resulting in a limited understanding of its implementation rate, temporal changes and factors associated with its implementation. We aimed to investigate the implementation status of CGA and its regional variance in Japan. METHODS: Using the Diagnosis Procedure Combination database, we investigated CGA trends, and identified the patient, hospital and regional factors associated with its implementation. We identified patients aged ≥65 years who were admitted for the first time between 2016 and 2020 with a diagnosis of stroke, heart failure, pneumonia, bone fracture or colorectal cancer. We examined the CGA implementation rate according to patient and hospital characteristics. We also investigated temporal changes and tendencies to carry out CGA in different prefectures. RESULTS: A total of 1 974 817 patients were analyzed, of whom 570 696 (28.9%) underwent CGA. The implementation trend increased steadily from 25.3% in fiscal year 2016 to 33.4% in fiscal year 2019. The implementation rate also increased with patient age (30.3% in patients aged ≥95 years). Regional variations in its implementation status were observed, with a higher tendency to be implemented in areas near major metropolitan regions. A trend toward carrying out CGA for colorectal cancer, but not for other diseases, has been observed in eastern Japan. CONCLUSION: Although CGA is increasingly carried out, considerable regional differences remain in its implementation status. Initiatives to reduce variations are necessary. Geriatr Gerontol Int 2024; ••: ••-••.

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BACKGROUND: Vertebral compression fractures (VCFs) in older adults cause considerable health and socioeconomic burdens due to worsening ability to perform activities of daily living. The long-term effects of VCFs on patient outcomes, particularly prolonged analgesic use and functional decline, remain unknown. The aims of this study were to examine long-term clinical outcomes and to determine the risk factors for persistent pain and functional disability after VCFs. METHODS: This retrospective cohort study evaluated mortality, duration of analgesic use, and changes in care requirements in older adults with VCFs using claims data from a suburban prefecture in the Greater Tokyo Area. Patients were included if they were ≥65 years of age and had been diagnosed with a VCF between June 2014 and February 2019, as determined on the basis of International Classification of Diseases, Tenth Revision (ICD-10) codes; we also used claims data that could determine whether the patients underwent imaging examinations. Patients who discontinued outpatient visits within 1 month after the VCF diagnosis were excluded. RESULTS: We included 18,392 patients with VCFs and a mean age of 80 years. Seventy-six percent of patients were women, and the median follow-up period was 670 days. At the index VCF diagnosis, 3,631 patients (19.7%) were care-dependent. Overall, 968 patients (5.3%) died within 1 year. Among the 8,375 patients who received analgesics, 22% required analgesics for >4 months. Factors associated with prolonged analgesic use for >1 year were female sex (odds ratio [OR], 1.39 [95% confidence interval (CI), 1.16 to 1.65]) and VCFs in the thoracolumbar region (OR, 1.95 [95% CI, 1.50 to 2.55]) or lumbar region (OR, 1.59 [95% CI, 1.23 to 2.04]) (the reference was the thoracic region). The care needs of 1,510 patients (8.2%) increased within 1 year. Patients with a preexisting care dependency had a 10 times higher risk of increased care need (30.2% [1,060 of 3,509]) than those who had been independent at the time of the index diagnosis (3.0% [450 of 14,761]) (p < 0.001). CONCLUSIONS: Individuals with preexisting care dependency were more likely to experience functional decline following VCFs than those who were independent, which underscores the need for intensive and appropriate allocation of health-care resources to care-dependent patients. LEVEL OF EVIDENCE: Therapeutic Level III . See Instructions for Authors for a complete description of levels of evidence.

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BACKGROUND: Delayed vaccination is a well-studied and critical public health issue. However, limited studies have explored whether familial factors influence vaccination delay. This study aimed to determine whether family structure and comorbidities affect the refusal or delayed receipt of measles-rubella and varicella vaccines. METHODS: We gathered data on all children from birth to 13 months of age between 2006 and 2020 using vaccination records linked with the administrative healthcare claims data from a Japanese city. Multivariable logistic regression analyses were conducted to examine the association of refusal or delay in receiving the first-dose measles-rubella and varicella vaccines with the following factors: the child's sex; presence of parents, siblings, and grandparents; parental and grandparental comorbidities; chronic pediatric comorbidities in the child and siblings; and year of vaccination. RESULTS: We identified a total of 14,241 eligible children. Refusal or delayed receipt of the first-dose measles-rubella vaccine was associated with an adjusted odds ratio of 2.46 (95% confidence interval, 1.86-3.24) for maternal absence and 1.61 (1.44-1.80) for paternal absence. Similarly, the refusal or delay in receiving the first-dose varicella vaccine was associated with an adjusted odds ratio of 2.04 (95% confidence interval, 1.01-4.16) for maternal absence and 1.37 (1.12-1.69) for paternal absence. The presence of siblings and maternal comorbidities were significantly associated with vaccination delays. CONCLUSION: The absence of a parent, the presence of siblings, and maternal comorbidities were associated with the refusal or delay in receiving measles-rubella and varicella vaccines. Strategies for vaccine recommendation should therefore consider family structure and maternal comorbidities.

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INTRODUCTION: The association between sodium-glucose cotransporter-2 (SGLT2) inhibitors and the risk of urogenital infections remains controversial. This study aimed to investigate the association between SGLT2 inhibitors and the incidence of perineal soft tissue infections, including Fournier's gangrene (FG), genital bacterial infections, and urinary tract infections (UTIs), using administrative claims data in Japan. METHODS: In this retrospective cohort study, we utilized the JMDC Claims Database. The study included patients aged 18 years or older diagnosed with type 2 diabetes mellitus, identified by a diagnostic code, who received new prescriptions for SGLT2 inhibitors or dipeptidyl peptidase 4 (DPP-4) inhibitors between April 2014 and August 2020. Using one-to-one propensity score (PS) matching, we compared the incidence of perineal soft tissue infections, including FG, genital bacterial infection, and UTIs between groups treated with SGLT2 and DPP-4 inhibitors. Hazard ratios (HR) and their 95% confidence intervals (CI) were estimated using the Cox proportional hazards model. RESULTS: We identified 34,897 patients in the SGLT2 inhibitor group and 135,311 patients in the DPP-4 inhibitor group. After one-to-one PS matching, 31,665 pairs were generated. The mean age of the patients was 51 years, with approximately 70% being male. The use of SGLT2 inhibitors was associated with a decreased risk of UTI (HR 0.90, 95% CI 0.83-0.98) and an increased risk of genital bacterial infection (HR 1.23, 95% CI 1.03-1.46) compared to DPP-4 inhibitors. However, no significant association was observed with perineal soft tissue infection (HR 1.05, 95% CI 0.61-1.81). CONCLUSIONS: SGLT2 inhibitors were associated with a reduced risk of UTI and an increased risk of genital bacterial infection. They showed no significant association with perineal soft tissue infection when compared to DPP-4 inhibitors. Future research should explore broader demographics, focusing on the elderly and achieving gender balance, to gain a comprehensive understanding of infection risks.

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BACKGROUND: Most evidence of the waning of vaccine effectiveness is limited to a relatively short period after vaccination. METHODS: Data obtained from a linked database of healthcare administrative claims and vaccination records maintained by the municipality of a city in the Kanto region of Japan were used in this study. The study period extended from April 1, 2020, to December 31, 2022. The duration of the effectiveness of the COVID-19 vaccine was analyzed using a time-dependent piecewise Cox proportional hazard model using the age, sex and history of cancer, diabetes, chronic obstructive pulmonary disease, asthma, chronic kidney disease, and cardiovascular disease as covariates. RESULTS: Among the 174,757 eligible individuals, 14,416 (8.3%) were diagnosed with COVID-19 and 936 (0.54%) were hospitalized for COVID-19. Multivariate analysis based on the time-dependent Cox regression model with reference of non-vaccine group revealed a lower incidence of COVID-19 in the one-dose group (hazard ratio, 0.76 [95% confidence interval, 0.63-0.91]), two-dose (0.89 [0.85-0.93]), three-dose (0.80 [0.76-0.85]), four-dose (0.93 [0.88-1.00]), and five-dose (0.72 [0.62-0.84]) groups. A lower incidence of COVID-19-related hospitalization was observed in the one-dose group (0.42 [0.21-0.81]), two-dose (0.44 [0.35-0.56]), three-dose (0.38 [0.30-0.47]), four-dose (0.20 [0.14-0.28]), and five-dose (0.11 [0.014-0.86]) groups. Multivariable analyses based on the time-dependent piecewise Cox proportional hazard model with reference of non-vaccine group revealed significant preventive effects of the vaccine for 4 months for the incidence of COVID-19 and ≥ 6 months for hospitalization. CONCLUSIONS: Vaccine effectiveness showed gradual attenuation with time after vaccination; however, protective effects against the incidence of COVID-19 and hospitalization were maintained for 4 months and ≥ 6 months, respectively. These results may aid in formulating routine vaccination plans after the COVID-19 pandemic.

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BACKGROUND: Patients who receive invasive mechanical ventilation (IMV) in the intensive care unit (ICU) have exhibited lower in-hospital mortality rates than those who are treated outside. However, the patient-, hospital-, and regional factors influencing the ICU admission of patients with IMV have not been quantitatively examined. METHODS: This retrospective cohort study used data from the nationwide Japanese inpatient administrative database and medical facility statistics. We included patients aged ≥ 15 years who underwent IMV between April 2018 and March 2019. The primary outcome was ICU admission on the day of IMV initiation. Multilevel logistic regression analyses incorporating patient-, hospital-, or regional-level variables were used to assess cluster effects by calculating the intraclass correlation coefficient (ICC), median odds ratio (MOR), and proportional change in variance (PCV). RESULTS: Among 83,346 eligible patients from 546 hospitals across 140 areas, 40.4% were treated in ICUs on their IMV start day. ICU admission rates varied widely between hospitals (median 0.7%, interquartile range 0-44.5%) and regions (median 28.7%, interquartile range 0.9-46.2%). Multilevel analyses revealed significant effects of hospital cluster (ICC 82.2% and MOR 41.4) and regional cluster (ICC 67.3% and MOR 12.0). Including patient-level variables did not change these ICCs and MORs, with a PCV of 2.3% and - 1.0%, respectively. Further adjustment for hospital- and regional-level variables decreased the ICC and MOR, with a PCV of 95.2% and 85.6%, respectively. Among the hospital- and regional-level variables, hospitals with ICU beds and regions with ICU beds had a statistically significant and strong association with ICU admission. CONCLUSIONS: Our results revealed that primarily hospital and regional factors, rather than patient-related ones, opposed ICU admissions for patients with IMV. This has important implications for healthcare policymakers planning interventions for optimal ICU resource allocation.

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Background: The prevalence of diabetes has risen fast with a considerable weighted prevalence of undiagnosed diabetes or uncontrolled diabetes. Then it becomes more necessary to timely screen out and monitor high-risk populations who are likely to be ignored during the COVID-19 pandemic. To classify and find the common risks of undiagnosed diabetes and uncontrolled diabetes, it's beneficial to put specific risk control measures into effect for comprehensive primary care. Especially, there is a need for accurate yet accessible prediction models. Objective: Based on a cross-sectional study and secondary analysis on the health examination held in Changchun City (2016), we aimed to evaluate the factors associated with hyperglycemia, analyze the management status of T2DM, and determine the best cutoff value of incidence of diabetes in the first-degree relatives to suggest the necessity of early diagnosis of diabetes after first screening. Results: A total of 5658 volunteers were analyzed. Prevalence of T2DM and impaired fasting glucose were 8.4% (n=477) and 11.5% (n=648), respectively. There were 925 participants (16.3%) with a family history of T2DM in their first-degree relatives. Multivariable analysis demonstrated that family history was associated with hyperglycemia. Among the 477 patients with T2DM, 40.9% had not been previously diagnosed. The predictive equation was calculated with the following logistic regression parameters with 0.71 (95% CI: 0.67-0.76) of the area under the ROC curve, 64.0% of sensitivity and 29% of specificity (P < 0.001): P = \frac{1}{1 + e^{-z}}, where z = -3.08 + [0.89 (Family history-group) + 0.69 (age-group)+ 0.25 (BMI-group)]. Positive family history was associated with the diagnosis of T2DM, but not glucose level in the diagnosed patients. The best cutoff value of incidence of diabetes in the first-degree relatives was 9.55% (P < 0.001). Conclusions: Family history of diabetes was independently associated with glucose dysfunction. Classification by the first-degree relatives with diabetes is prominent for targeting high-risk population. Meanwhile, positive family history of diabetes was associated with diabetes being diagnosed rather than the glycemic control in patients who had been diagnosed. It's necessary to emphasize the linkage between early diagnosis and positive family history for high proportions of undiagnosed T2DM.

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Molecular recognition features (MoRFs) are particular functional segments of disordered proteins, which play crucial roles in regulating the phase transition of membrane-less organelles and frequently serve as central sites in cellular interaction networks. As the association between disordered proteins and severe diseases continues to be discovered, identifying MoRFs has gained growing significance. Due to the limited number of experimentally validated MoRFs, the performance of existing MoRF's prediction algorithms is not good enough and still needs to be improved. In this research, we present a model named MoRF_ESM, which utilizes deep-learning protein representations to predict MoRFs in disordered proteins. This approach employs a pretrained ESM-2 protein language model to generate embedding representations of residues in the form of attention map matrices. These representations are combined with a self-learned TextCNN model for feature extraction and prediction. In addition, an averaging step was incorporated at the end of the MoRF_ESM model to refine the output and generate final prediction results. In comparison to other impressive methods on benchmark datasets, the MoRF_ESM approach demonstrates state-of-the-art performance, achieving [Formula: see text] higher AUC than other methods when tested on TEST1 and achieving [Formula: see text] higher AUC than other methods when tested on TEST2. These results imply that the combination of ESM-2 and TextCNN can effectively extract deep evolutionary features related to protein structure and function, along with capturing shallow pattern features located in protein sequences, and is well qualified for the prediction task of MoRFs. Given that ESM-2 is a highly versatile protein language model, the methodology proposed in this study can be readily applied to other tasks involving the classification of protein sequences.

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PURPOSE: Perinatal mood disorders affect both parents, impacting their children negatively. Little is known on the association between parental perinatal mood disorders and pediatric outcomes in Japan considering relevant covariates. Our objective was to investigate the association between paternal and maternal perinatal mood disorders and adverse physical and psychological child outcomes by the age of 36 months, adjusting for covariates such as the child's sex, age of parent at child's birth, perinatal mood disorders of the other parent, and perinatal antidepressant use. METHODS: We identified parents in the JMDC Claims Database in Japan from 2012 to 2020. Perinatal mood disorders were defined using International Classification of Diseases, 10th codes for mood disorders during the perinatal period combined with psychiatric treatment codes. We evaluated the association between parental perinatal mood disorders and pediatric adverse outcomes by the age of 36 months using Cox proportional hazard models adjusted for the covariates. RESULTS: Of the 116,423 father-mother-child triads, 2.8% of fathers and 2.3% of mothers had perinatal mood disorders. Paternal perinatal mood disorders were not significantly associated with adverse child outcomes. After adjusting for paternal perinatal mood disorders and antidepressant use, maternal perinatal mood disorders were associated with delayed motor development, language development disorders, autism spectrum disorders, and behavioral and emotional disorders (adjusted hazard ratio [95% confidence interval]: 1.65 [1.01-2.69], 2.26 [1.36-3.75], 4.16 [2.64-6.55], and 6.12 [1.35-27.81], respectively). CONCLUSIONS: Paternal perinatal mood disorders were not associated with adverse child outcomes in this population. Maternal perinatal mood disorders were associated with multiple child outcomes.

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OBJECTIVE: The study aimed to investigate treatment options for older women with pelvic organ prolapse (POP) and postoperative outcomes based on their long-term care (LTC) status. METHODS: We used the medical and LTC insurance claims databases of Tochigi Prefecture in Japan, covering 2014 to 2019. We included women 65 years and older with POP and evaluated their care status and treatment, excluding women with an observation period <6 months. Among women with a postsurgical interval ≥6 months, we compared care level changes and deaths within 6 months and complications within 1 month postoperatively between those with and without LTC using Fisher exact test. RESULTS: We identified 3406 eligible women. Of the 447 women with LTC and 2959 women without LTC, 16 (3.6%) and 415 (14.0%), respectively, underwent surgery. Among 393 women with a postsurgical interval ≥6 months, 19 (4.8%) required LTC at surgery. Two of the 19 women with LTC (10.5%) and eight of 374 women without LTC (2.1%) experienced worsening care-needs level. No deaths were recorded. Urinary tract infection (UTI) was significantly more frequent in women with LTC than in women without LTC (36.8% vs 8.6%). Other complications were rare in both groups. CONCLUSION: The proportion of patients who underwent surgery for POP was lower in women with LTC than in women without LTC. Postoperative UTI was common and 11% had a worsening care-needs level postoperatively, whereas other complications were infrequent. Further detailed studies would contribute to providing optimal treatment to enhance patients' quality of life.

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BACKGROUND: The association between weight loss and subsequent functional decline is uncertain. The study aims to elucidate the association between weight loss over a year and subsequent functional decline requiring assistance in performing their activities of daily living in older individuals. METHODS: The study used data from the publicly funded Long-Term Care Insurance service in Japan, which provides coverage for long-term care services for individuals unable to perform activities of daily living due to physical or cognitive impairment. The study enrolled people born in or before 1949, who underwent health checkups in both 2014 and 2015. The participants were followed from 2015 to the worsening of functional decline requiring long-term care services, death, or February 28, 2019, whichever occurred first. The risk of subsequent functional decline in each weight loss category was estimated using a Cox regression model adjusted for age, sex, baseline body mass index, smoking, and Charlson comorbidity index. RESULTS: We identified 67,452 eligible individuals from the database. The median follow-up period was 1,284 days. The hazard ratios (95 % confidence interval) of functional decline for -1 %, -2 %, -3 %, -4 %, and ≤-5% weight change compared to 0 % weight change were 1.17 (1.03-1.32), 1.26 (1.11-1.43), 1.29 (1.12-1.49), 1.61 (1.39-1.87), and 1.79 (1.58-1.99), respectively. CONCLUSIONS AND IMPLICATIONS: Older people with weight loss of 1 % or more were at risk of functional decline. Close weight monitoring may serve as an easy and inexpensive means of identifying older individuals at risk of functional decline.

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AIM: This study aimed to elucidate the impact of periodontal therapy on glycaemic control in individuals with type 2 diabetes and various baseline blood glucose levels using a large-scale claims database from Japan. MATERIALS AND METHODS: Using the JMDC Claims Database, we identified individuals with type 2 diabetes who underwent health check-ups in the fiscal years 2018 or 2019 and were followed up until the next year's health check-up. We conducted a weighted cohort analysis using stabilized inverse probability weights for treatment and censoring to estimate the effect of periodontal therapy on changes in haemoglobin A1c levels within a year. Analysis was done for different baseline haemoglobin A1c categories: 6.5%-6.9%, 7.0%-7.9% and ≥8.0%. RESULTS: Of the 4279 insured persons included in the study, 957 received periodontal therapy. Overall, there was a tendency towards improved glycaemic control among those who received periodontal therapy. Participants with baseline haemoglobin A1c levels of 7.0%-7.9% who received periodontal therapy exhibited significantly better glycaemic control compared with those without dental visits (difference; -0.094 [95% confidence interval: -0.181 to -0.007]). CONCLUSIONS: Periodontal therapy may improve glycaemic control in individuals with diabetes, especially in those with haemoglobin A1c levels ≥7.0%.

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INTRODUCTION: The association between the use of cilostazol as a post-stroke antiplatelet medication and a reduction in post-stroke pneumonia has been suggested. However, whether cilostazol has a greater preventive effect against post-stroke aspiration pneumonia (AP) than other antiplatelet medications remains unclear. Thus, this study aimed to evaluate whether cilostazol has a greater preventive effect against post-stroke AP than aspirin or clopidogrel. METHODS: Through the Japanese Diagnosis Procedure Combination database, we identified patients who were hospitalized for ischemic stroke between April 2012 and September 2019. We performed 1:1 propensity score matching between patients who received cilostazol alone at discharge and those who received aspirin or clopidogrel alone at discharge. The primary outcome was the 90-day readmission for post-stroke AP. The occurrence of recurrent ischemic stroke within 90 days was also evaluated. RESULTS: Among the 305,543 eligible patients with ischemic stroke, 65,141 (21%), 104,157 (34%), and 136,245 (45%) received cilostazol, aspirin, and clopidogrel, respectively. Propensity score matching generated 65,125 pairs. The cilostazol group had a higher proportion of 90-day post-stroke readmissions with AP than the aspirin or clopidogrel groups (1.5% vs. 1.2%, p < 0.001). The proportion of patients with recurrent ischemic stroke within 90 days was also higher in the cilostazol group (2.4% vs. 2.2%, p = 0.017). CONCLUSION: The present study suggests that cilostazol may not have a greater effect on preventing post-stroke AP within 90 days than other antiplatelet medications. Nevertheless, further randomized controlled trials with longer follow-up periods are warranted.

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Objective The effect of Rikkunshito, a Japanese herbal Kampo medicine, on chemotherapy-induced nausea and vomiting (CINV) has been evaluated in several small prospective studies, with mixed results. We retrospectively evaluated the antiemetic effects of Rikkunshito in patients undergoing cisplatin-based chemotherapy using a large-scale database in Japan. Methods The Diagnosis Procedure Combination inpatient database from July 2010 to March 2019 was used to compare adult patients with malignant tumors who had received Rikkunshito on or before the day of cisplatin administration (Rikkunshito group) and those who had not (control group). Antiemetics on days 2 and 3 and days 4 and beyond following cisplatin administration were used as surrogate outcomes for CINV. Patient backgrounds were adjusted using the stabilized inverse probability of treatment weighting, and outcomes were compared using univariable regression models. Results We identified 669 and 123,378 patients in the Rikkunshito and control groups, respectively. There were significantly fewer patients using intravenous 5-HT3-receptor antagonists in the Rikkunshito group (odds ratio, 0.38; 95% confidence interval, 0.16-0.87; p=0.023) on days 2 and 3 of cisplatin-based chemotherapy. Conclusion The reduced use of antiemetics on day 2 and beyond of cisplatin administration suggested a beneficial effect of Rikkunshito in palliating the symptoms of CINV.

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AIM: Kakkonto, a Japanese herbal kampo medicine, is empirically prescribed to improve milk stasis and ameliorate breast inflammation in patients with noninfectious mastitis. We investigated whether early use of kakkonto is associated with a reduction in antibiotic use and surgical drainage in patients with noninfectious mastitis. METHODS: We identified 34 074 patients with an initial diagnosis of noninfectious mastitis within 1 year of childbirth between April 2012 and December 2022 using the nationwide administrative JMDC Claims Database. Patients were divided into the kakkonto (n = 9593) and control (n = 9648) groups if they received and did not receive kakkonto on the day of the initial diagnosis of noninfectious mastitis, respectively. Antibiotic administration and surgical drainage within 30 days after the initial diagnosis of noninfectious mastitis in the two groups were compared using propensity score-stabilized inverse probability of treatment weighting analysis. RESULTS: The frequency of antibiotic administration within 30 days after the initial diagnosis of noninfectious mastitis was significantly lower in the kakkonto group than in the control group (10% vs. 12%; odds ratio, 0.88 [95% confidence interval, 0.80-0.96]). The frequency of antibiotic administration during 1-3 and 4-7 days after the initial diagnosis were also significantly lower in the kakkonto group than in the control group. The frequency of surgical drainage did not differ significantly between the two groups. CONCLUSIONS: Kakkonto was associated with reduced administration of antibiotics for noninfectious mastitis, making it a potential treatment option for relieving breast inflammation and promoting antimicrobial stewardship.

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Although large-scale administrative databases may be useful for studies of infectious diseases, conventional databases lack microbiological data. To illustrate the applicability of the National Hospital Organization Clinical Data Archives, a novel database of electronic medical records in Japan, we conducted a descriptive study of the microbiological findings in patients with community-acquired pneumonia using the database. We identified patients aged ≥18 years who were hospitalized for community-acquired bacterial pneumonia between April 2016 and March 2019. We evaluated the results of bacterial culture and antibacterial susceptibility of specimens obtained on the first day of hospitalization, in addition to patient characteristics, diagnosis codes, and intravenous antibiotics administered. The analysis identified 2200 eligible patients from 15 hospitals. Sulbactam-ampicillin was the most frequently used initial antibiotic (32 %), followed by ceftriaxone (22 %) and tazobactam-piperacillin (19 %). Overall, 56 %, 95 %, 56 %, and 73 % of patients with pathogen-specific diagnosis codes in the database for Streptococcus pneumoniae, Haemophilus influenzae, Klebsiella pneumoniae, and Pseudomonas aeruginosa, respectively, also tested positive for the corresponding pathogen in their sputum or blood cultures. Antibacterial susceptibilities were consistent with a previous report from Japan; 81 % of S. pneumoniae cases were resistant to azithromycin, and 48 % of H. influenzae cases were resistant to ampicillin. These microbiological characteristics warrant the future use of this database for detailed real-world research on infectious diseases.

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BACKGROUND: Despite the widespread practice of Japanese traditional Kampo medicine, the characteristics of patients receiving various Kampo formulations have not been documented in detail. We applied a machine learning model to a health insurance claims database to identify the factors associated with the use of Kampo formulations. METHODS: A 10% sample of enrollees of the JMDC Claims Database in 2018 and 2019 was used to create the training and testing sets, respectively. Logistic regression analyses with lasso regularization were performed in the training set to construct models with prescriptions of 10 commonly used Kampo formulations in 1 year as the dependent variable and data of the preceding year as independent variables. Models were applied to the testing set to calculate the C-statistics. Additionally, the performance of simplified scores using 10 or 5 variables were evaluated. RESULTS: There were 338,924 and 399,174 enrollees in the training and testing sets, respectively. The commonly prescribed Kampo formulations included kakkonto, bakumondoto, and shoseityuto. Based on the lasso models, the C-statistics ranged from 0.643 (maoto) to 0.888 (tokishakuyakusan). The models identified both the common determinants of different Kampo formulations and the specific characteristics associated with particular Kampo formulations. The simplified scores were slightly inferior to full models. CONCLUSION: Lasso regression models showed good performance for explaining various Kampo prescriptions from claims data. The models identified the characteristics associated with Kampo formulation use.

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BACKGROUND: To clarify the risk of adverse ocular events following influenza vaccination. METHODS: This self-controlled case series study used a claims database linked to vaccination records of a large city in Japan between April 2014 and September 2021. Individuals aged ≥ 65 years who developed adverse ocular events during the follow-up period were included. The exposure was influenza vaccination. The primary outcome was defined as the occurrence of at least one of the following five eye diseases: uveitis, scleritis, retinal vein occlusion, retinal artery occlusion, or optic neuritis. Conditional Poisson regression was used to estimate the within-subject incidence rate ratio of ocular adverse events during the risk period (0-56 days after vaccination) compared to the control period. RESULTS: A total of 4,527 cases were eligible for the study (median age, 74 years; male, 42%). The incidence rate ratio for the outcome during the risk period was 0.99 (95% confidence interval, 0.87 to 1.14). No increased risk was observed for individual components of the outcome either; the incidence rate ratio was 0.94 (0.78 to 1.13) for uveitis, 1.17 (0.86 to 1.59) for scleritis, 0.98 (0.76 to 1.27) for retinal vein occlusion, 0.89 (0.42 to 1.87) for retinal artery occlusion, and 0.87 (0.44 to 1.70) for optic neuritis. CONCLUSIONS: This self-controlled case series showed no apparent increase in the risk of adverse ocular events after influenza vaccination among older adults. These results mitigate the concerns of older adults who may hesitate to receive influenza vaccination for fear of adverse ocular events. ABBREVIATION: HR = hazard ratio; CI = confidence interval; RVO = retinal vein occlusion; SCCS = self-controlled case series.

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BACKGROUND: Several studies have demonstrated the efficacy of prednisolone and cyclosporine as initial combination treatments for the prevention of coronary artery abnormalities (CAA) in patients with Kawasaki disease. However, whether prednisolone or cyclosporine results in superior clinical outcomes is unknown. Thus, this study aimed to compare the outcomes of these two treatments. METHODS: Using the Japanese Diagnosis Procedure Combination database, we identified patients with Kawasaki disease who had received prednisolone or cyclosporine in addition to initial intravenous immunoglobulin treatment between April 2014 and March 2021. The primary outcome was the proportion of CAA; secondary outcomes included intravenous immunoglobulin resistance, medical costs, and length of hospital stay. Propensity score matching was conducted to compare outcomes between the two groups. RESULTS: We identified 6288 patients with Kawasaki disease who had received prednisolone (n = 6147) or cyclosporine (n = 141) as an initial treatment in combination with intravenous immunoglobulin. Four-to-one propensity score-matched analysis demonstrated no significant difference in the proportion of CAA (0.7% vs. 2.8%; p = 0.098), intravenous immunoglobulin resistance, or medical costs between the treatment groups. The length of hospital stay was significantly longer in the prednisolone group (14 vs. 11 days, p < 0.001). CONCLUSIONS: Prednisolone and cyclosporine used in the initial combination treatment for Kawasaki disease showed similar clinical outcomes regarding the risk of CAA, intravenous immunoglobulin resistance, and medical costs, whereas the length of hospital stay was longer in the prednisolone group than in the cyclosporine group.

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BACKGROUND: Although there have been studies that compared outcomes of patients with acute myocardial infarction (AMI) across countries, little focus has been placed on institutional variance of outcomes. The aim of the present study was to compare institutional variance in mortality following percutaneous coronary intervention (PCI) for AMI and factors explaining this variance across different health systems. METHODS: Data on inpatients who underwent PCI for AMI in 2016 were obtained from the National Health Insurance Data Sharing Service in Korea, the Diagnosis Procedure Combination (DPC) Study Group Database in Japan, and the National Health Insurance Research Database (NHIRD) in Taiwan. Multilevel analyses with inpatient mortality as the outcome and the hierarchical structure of patients nested within hospitals were conducted, adjusting for common patient-level and hospital-level variables. We compared the intraclass correlation coefficient (ICC) and the proportion of variance explained by hospital-level characteristics across the three health systems. RESULTS: There were 17 351 patients from 160 Korean hospitals, 29 804 patients from 660 Japanese hospitals, and 10 863 patients from 104 Taiwanese hospitals included in the analysis. Inpatient mortality rates were 6.3%, 7.3%, and 6.0% in Korea, Japan, and Taiwan, respectively. After adjusting for patient and hospital characteristics, Taiwan had the lowest variation in mortality (ICC, 1.8%), followed by Korea (2.2%) and then Japan (4.5%). The measured hospital characteristics explained 38%, 19%, and 9% of the institutional variance in Korea, Taiwan, and Japan, respectively. CONCLUSION: Korea, Japan, and Taiwan had similarly uniform outcomes across hospitals for patients undergoing PCI for AMI. However, Japan had a relatively large institutional variance in mortality and a lower proportion of variation explainable by hospital characteristics, compared with Korea and Taiwan.

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