Features and prognosis of patients with lupus nephritis receiving glucocorticoid treatment: a descriptive study using a Japanese claims database.

OBJECTIVE: To evaluate the status of lupus nephritis treatment particularly regarding the need for intensification of treatment in Japan from 2010 to 2019 using a large-scale claims database. METHODS: This descriptive study included adult lupus nephritis patients who were administered glucocorticoid equivalent to ≥15 mg prednisolone as the initial dose. After summarizing patient characteristics, we assessed the rate of treatment intensification using the Kaplan-Meier method among six groups based on initial dose of glucocorticoid. RESULTS: We identified 403 patients (mean age, 42.7 years; 68.5% women) with the median initial glucocorticoid dose of 30 mg/day prednisolone equivalent. We observed 56 treatment intensifications; the incidence rate was 71.3 per 1,000 person-years (95% confidence interval: 52.6-90.0). The rate in higher glucocorticoid dose groups was higher than that in lower glucocorticoid dose groups. CONCLUSIONS: We found that the rate of treatment intensification was higher in the high-dose glucocorticoid groups than in the low-dose glucocorticoid groups. Further studies are needed to clarify the relationship between the initial dose of glucocorticoids and the prognosis of lupus nephritis patients.

Prediction models for in-hospital deaths of patients with COVID-19 using electronic healthcare data.

OBJECTIVE: Many models for predicting various disease prognoses have achieved high performance without laboratory test results. However, whether laboratory test results can improve performance remains unclear. This study aimed to investigate whether laboratory test results improve the model performance for coronavirus disease 2019 (COVID-19). METHODS: Prediction models were developed using data from the electronic healthcare record database in Japan. Patients aged ≥18 years hospitalized for COVID-19 after February 11, 2020, were included. Their age, sex, comorbidities, laboratory test results, and number of days from February 11, 2020, were collected. We developed a logistic regression, XGBOOST, random forest, and neural network analysis and compared the performance with and without laboratory test results. The performance of predicting in-hospital death was evaluated using the area under the curve (AUC). RESULTS: Data from 8,288 hospitalized patients (females, 46.5%) were analyzed. The median patient age was 71 years. A total of 6,630 patients were included in the training dataset, and 312 (4.7%) died. In the logistic regression model, the area under the curve was 0.88 (95% confidence interval [CI] = 0.83-0.93) and 0.75 (95% CI = 0.68-0.81) with and without laboratory test results, respectively. The performance was not fundamentally different between the model types, and the laboratory test results improved the performance in all cases. The variables useful for prediction were blood urea nitrogen, albumin, and lactate dehydrogenase. CONCLUSIONS: Laboratory test results, such as blood urea nitrogen, albumin, and lactate dehydrogenase levels, along with background information, helped estimate the prognosis of patients hospitalized for COVID-19.

Four-year treatment continuation rates of osteoporosis drugs with different dosing intervals throughout Japan.

INTRODUCTION: There are approximately 13 million patients with osteoporosis in Japan; however, only 20% of them receive treatment. This study compared the 4-year continuation rates of osteoporosis drugs at different dosing intervals across throughout Japan. MATERIALS AND METHODS: Receipt data were analyzed to determine the continuation of osteoporosis medication in patients who began treatment at 210 hospitals throughout Japan between October 2016 and September 2017. Continuation rates were compared using Kaplan-Meier curves and log-rank tests. RESULTS: The 4-year continuation rates of daily, weekly, monthly, semi-annual, and yearly medications nationwide were 8.6%, 16.5%, 13.5%, 31.0%, and 26.0%, respectively. The 4-year continuation rates for semi-annual and yearly drugs were significantly higher than daily, weekly, monthly drugs. CONCLUSION: Throughout Japan, the 4-year treatment continuation rates of daily, weekly, monthly, semi-annual, and yearly osteoporosis drugs all decreased over time. However, the continuation rates of semi-annual and yearly drugs in the fourth year were significantly higher than those for the other dosing regimens. Therefore, injectable drugs with dosing intervals ≥6 months may improve continuation rates of osteoporosis drugs. Geriatr Gerontol Int 2023; 23: 665-670.