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Gestational overweight decreased risk of antepartum hemorrhage in pregnant women with complete placenta previa: a retrospective study.
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Yang Jie, Ye Shaoxin, Xuan Bihua, Liu Zhengping, Fan Dazhi
Аннотация
OBJECTIVES: Serum citrullinated histone H3 (CitH3) levels in humans with rheumatoid arthritis (RA) were examined and the associations between CitH3 levels and disease variables were investigated.
METHODS: Serum CitH3 levels were measured using an enzyme-linked immunosorbent assay in 151 RA patients (69 with highly, 32 with moderately, and 20 with mildly active RA and 30 with RA in remission) and 56 healthy controls. Receiver operating characteristic curve analysis was performed to evaluate the discriminant capacity of CitH3 between highly/moderately active RA and RA in remission/mild activity. Furthermore, machine-learning methods were applied to construct a predictive model.
RESULTS: CitH3 concentration was more upregulated in patients with highly and moderately active RA than in those with mild activity and remission. The area under the curve for CitH3 was 0.825 for discriminating between highly and mildly active RA, 0.840 for discriminating between highly active RA and RA in remission, 0.789 for discriminating between moderately and mildly active RA, and 0.829 for discriminating between moderately active RA and RA in remission. The correlation analysis revealed that serum CitH3 levels were positively associated with Disease Activity Score 28-Erythrocyte Sedimentation Rate (DAS28-ESR), ESR, C-reactive protein, rheumatoid factor, and some routine blood parameters (WBC, RDW, PLT, N, and N%), while negatively associated with haemoglobin, lymphocyte percentage, and thyroid-stimulating hormone. Through machine learning, the optimal predictive model was selected and had high performance.
CONCLUSIONS: CitH3 is significantly associated with disease activity and could serve as a useful candidate biomarker to assess disease activity in patients with RA.
METHODS: Serum CitH3 levels were measured using an enzyme-linked immunosorbent assay in 151 RA patients (69 with highly, 32 with moderately, and 20 with mildly active RA and 30 with RA in remission) and 56 healthy controls. Receiver operating characteristic curve analysis was performed to evaluate the discriminant capacity of CitH3 between highly/moderately active RA and RA in remission/mild activity. Furthermore, machine-learning methods were applied to construct a predictive model.
RESULTS: CitH3 concentration was more upregulated in patients with highly and moderately active RA than in those with mild activity and remission. The area under the curve for CitH3 was 0.825 for discriminating between highly and mildly active RA, 0.840 for discriminating between highly active RA and RA in remission, 0.789 for discriminating between moderately and mildly active RA, and 0.829 for discriminating between moderately active RA and RA in remission. The correlation analysis revealed that serum CitH3 levels were positively associated with Disease Activity Score 28-Erythrocyte Sedimentation Rate (DAS28-ESR), ESR, C-reactive protein, rheumatoid factor, and some routine blood parameters (WBC, RDW, PLT, N, and N%), while negatively associated with haemoglobin, lymphocyte percentage, and thyroid-stimulating hormone. Through machine learning, the optimal predictive model was selected and had high performance.
CONCLUSIONS: CitH3 is significantly associated with disease activity and could serve as a useful candidate biomarker to assess disease activity in patients with RA.