Internal Medicine
Online ISSN : 1349-7235
Print ISSN : 0918-2918
ISSN-L : 0918-2918
63 巻, 6 号
選択された号の論文の26件中1~26を表示しています
ORIGINAL ARTICLES
  • Akira Sato, Yumiko Oomori, Rika Nakano, Tomokazu Matsuura
    2024 年 63 巻 6 号 p. 763-771
    発行日: 2024/03/15
    公開日: 2024/03/15
    [早期公開] 公開日: 2023/08/02
    ジャーナル オープンアクセス

    Objective To examine the trends and relationships between nonalcoholic fatty liver disease (NAFLD) and hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia from fiscal year (FY) 2008, when specific health checkups (SHCs) were initiated in Japan, to FY 2019 and the relationship between NAFLD trends and dietary nutrition.

    Methods A total of 48,332 participants (25,121 men and 23,211 women) diagnosed with NAFLD who underwent health checkups, including ultrasonography, from FY 2008 to FY 2019 were included. A fatty liver was diagnosed using ultrasonography. The dietary nutrient intake status was based on data from the National Health and Nutrition Survey, Japan.

    Results Over 12 years, NAFLD prevalence increased from 26.9% to 43.1% in men (p<0.0001) and from 9.9% to 17.9% in women (p<0.0001) in all body mass index (BMI) groups except for obese II (according to the World Health Organization Asia-Pacific criteria) in men and underweight in women and almost all age groups. T2DM prevalence increased in men (from 9.0% to 10.7%, p=0.0234), and obesity and higher waist circumference rates increased in women (from 16.0% to 18.0%, p=0.0059 and from 8.1% to 10%, respectively, p=0.0006). The dietary nutrient intake increased with regard to the total fat, fat/energy ratio, saturated fatty acids, monounsaturated fatty acids, and n6/n3 fatty acid ratio in both men and women, and these nutrient trends were correlated with NAFLD prevalence (all p≤0.0005).

    Conclusion In Japan, NAFLD increased in both men and women regardless of the BMI and age, even after starting SHCs. An unbalanced fat intake may be one of the major reasons for this increase.

  • Heejung Choi, Byungjin Choi, Sungdam Han, Minjeong Lee, Gyu-Tae Shin, ...
    2024 年 63 巻 6 号 p. 773-780
    発行日: 2024/03/15
    公開日: 2024/03/15
    [早期公開] 公開日: 2023/08/09
    ジャーナル オープンアクセス
    電子付録

    Objective Contrast agents used for radiological examinations are an important cause of acute kidney injury (AKI). We developed and validated a machine learning and clinical scoring prediction model to stratify the risk of contrast-induced nephropathy, considering the limitations of current classical and machine learning models.

    Methods This retrospective study included 38,481 percutaneous coronary intervention cases from 23,703 patients in a tertiary hospital. We divided the cases into development and internal test sets (8:2). Using the development set, we trained a gradient boosting machine prediction model (complex model). We then developed a simple model using seven variables based on variable importance. We validated the performance of the models using an internal test set and tested them externally in two other hospitals.

    Results The complex model had the best area under the receiver operating characteristic (AUROC) curve at 0.885 [95% confidence interval (CI) 0.876-0.894] in the internal test set and 0.837 (95% CI 0.819-0.854) and 0.850 (95% CI 0.781-0.918) in two different external validation sets. The simple model showed an AUROC of 0.795 (95% CI 0.781-0.808) in the internal test set and 0.766 (95% CI 0.744-0.789) and 0.782 (95% CI 0.687-0.877) in the two different external validation sets. This was higher than the value in the well-known scoring system (Mehran criteria, AUROC=0.67). The seven precatheterization variables selected for the simple model were age, known chronic kidney disease, hematocrit, troponin I, blood urea nitrogen, base excess, and N-terminal pro-brain natriuretic peptide. The simple model is available at http://52.78.230.235:8081/

    Conclusions We developed an AKI prediction machine learning model with reliable performance. This can aid in bedside clinical decision making.

  • Tomoyuki Saga, Michiyo Kanagawa, Tomoya Harada, Lang Lang, Fumihiko Ya ...
    2024 年 63 巻 6 号 p. 781-790
    発行日: 2024/03/15
    公開日: 2024/03/15
    [早期公開] 公開日: 2023/07/26
    ジャーナル オープンアクセス

    Objective Azacitidine (AZA) has been the standard of care for elderly patients with high-risk myelodysplastic syndromes (MDS). However, reliable clinical predictors of outcome have yet to be identified. The prognostic value of fetal hemoglobin (HbF) levels has been reported for decitabine therapy. We evaluated pretreatment HbF levels in AZA monotherapy as a prognostic marker in MDS/acute myeloid leukemia (AML).

    Methods This study included chemotherapy-naïve patients who had received seven-day treatment schedules of AZA and whose HbF levels were measured at the onset of treatment between March 2011 and July 2020. Patients were grouped into HbF-normal (<1.0%) or HbF-elevated (≥1.0%) groups. Responses were classified according to the International Working Group 2006 criteria.

    Patients Twenty-nine patients were included and classified as having either MDS (n=21), chronic myelomonocytic leukemia (n=5), myelodysplastic/myeloproliferative neoplasm unclassifiable (n=1), or AML with <30% marrow blasts (n=2) based on the World Health Organization 2016 diagnostic criteria. According to the revised International Prognostic Scoring System classification, 20/29 patients were at intermediate, high, or very high risk. Pretreatment HbF levels were elevated in 13/29 patients.

    Results The median follow-up duration was 13.0 (range 1.5-93.5) months. The HbF-elevated group was associated with a significantly higher hematologic improvement rate (76.9% vs. 25%, p=0.009) and better overall survival (median, 21.0 vs. 13.0 months, p=0.048) than the HbF-normal group.

    Conclusion These results suggest that elevated pretreatment HbF levels can predict better outcomes in patients with MDS/AML treated with AZA.

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