Brit J Hosp Med
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Aims/Background Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of kidney cancer, where early diagnosis is crucial for improving prognosis and treatment outcomes. Radiomics, which utilizes machine learning techniques, presents a promising approach in medical imaging for the early detection and characterization of such conditions. This study aims to explore the clinical utility of a machine-learning-based radiomics model in the early diagnosis of ccRCC. ⋯ When clinical data were combined with radiomics features in the model, the area under the curve (AUC) reached 0.969, with an optimal threshold of -2.290, and sensitivity and specificity values of 89.3% and 95.2%, respectively. The calibration curve also confirmed that the logistic regression model had high calibration accuracy and greater clinical application value. Conclusion This machine-learning-based radiomics prediction model demonstrated significant value in the early diagnosis of clear cell renal cell carcinoma (ccRCC).
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Aims/Background The purpose of this study is to investigate the risk factors for gestational diabetes mellitus (GDM) during pregnancy and its impact on neonatal birth outcomes. Methods A total of 2010 cases of mothers with GDM who underwent routine prenatal examinations and delivered at The Fourth Hospital of Shijiazhuang from June 2021 to April 2022, and their newborns were selected as the GDM group. For comparison, 2087 cases of mothers with normal glucose tolerance (NGT) and their newborns during the same period were selected as the NGT group. ⋯ Conclusion The risk factors for GDM include advanced maternal age, being underweight, overweight, or obese prior to pregnancy, irregular eating habits, dietary nutritional deficiencies, and lack of prenatal exercise. The incidence of adverse pregnancy outcomes is higher in GDM patients compared to those without GDM. Poor glycemic control during pregnancy and higher pre-pregnancy BMI are significant factors that contribute to negative outcomes for both GDM patients and their newborns.
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Aims/Background To investigate the predictive value of the pretreatment neutrophil-to-lymphocyte ratio (NLR) for estimating the near-term efficacy of hepatic arterial infusion chemotherapy (HAIC) in patients with locally advanced hepatocellular carcinoma (HCC). Methods In this retrospective study, data were collected from patients with locally advanced HCC treated with HAIC between January 2018 and June 2022. Patients were categorized based on their pretreatment NLRs and analyzed using propensity score matching (PSM). ⋯ Both univariate and multivariate regression analyses demonstrated that a high pretreatment NLR was an independent negative prognostic factor for ORR (hazard ratio [HR], 3.464; 95% CI, 1.383-8.678; p = 0.008) and PFS (HR, 1.634; 95% CI, 1.026-2.600; p = 0.038). No significant differences in the incidence of adverse events were observed between the groups. Conclusion Pretreatment NLR is a readily obtainable and effective biomarker for predicting the near-term efficacy of HAIC in patients with locally advanced HCC.
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Aims/Background The drug treatment of recurrent respiratory tract infection caused by mycoplasma pneumonia (MP) has a complex background, involving the characteristics of pathogens, drug resistance, and multiple treatment methods. This study aimed to analyze the therapeutic effect of pulmicort respules and azithromycin on children with recurrent respiratory tract infection caused by MP. Methods The clinical data of 106 children with recurrent respiratory tract infection caused by MP diagnosed in Huoqiu First People's Hospital from July 2021 to July 2023 were retrospectively analyzed. ⋯ After 1 week of treatment, the observation group had significantly lower levels of IgG, IgA, and IgM than the reference group (p < 0.01). This study revealed that the incidence of complications in the observation group was 16.00%, which was significantly lower than the 37.50% in the reference group (p < 0.05). Conclusion In the short-term clinical treatment, the combination application of pulmicort respules and azithromycin can effectively improve the immune function of children with recurrent respiratory tract infection caused by MP and relieve their clinical symptoms.
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Aims/Background The association between rheumatic immune diseases and polycystic ovary syndrome (PCOS) remains elusive. The purpose of this study was to investigate the causal relationship between rheumatic immune diseases and the risk of PCOS through a two-sample Mendelian randomization (MR) analysis. Methods In the assessment of exposure variables, we chose systemic lupus erythematosus (SLE), polymyositis (PM), and rheumatoid arthritis (RA) as representative rheumatic immune diseases, while PCOS was designated as the outcome of interest. ⋯ However, no significant correlation was observed between the other two rheumatic immune diseases (PM and SLE) and the risk of developing PCOS (both p > 0.05). Conclusion This study suggests a potential causal association between RA and PCOS, while SLE and PM do not exhibit a causal association with PCOS, enhancing our comprehension of the etiological factors of PCOS and shedding light on prevention strategies for the disease. Additional research is required to elucidate the underlying biological mechanisms by which RA contributes to the progression of PCOS.