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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Ascites due to liver cirrhosis is a common complication in patients with liver disease, severely affecting their prognosis and quality of life. Traditional treatment methods have significant limitations in managing ascites, highlighting the need for new therapeutic approaches. As an antidiuretic drug, terlipressin has shown good efficacy and potential in treating ascites. ⋯ Additionally, we provide detailed discussions on medication precautions and management strategies for adverse reactions in high-risk patients. Finally, this review outlines future research directions, such as new clinical trial designs, comparisons of terlipressin with other novel drugs, and the exploration of individualized treatment models. These efforts aim to provide references for clinical practice and promote further development in this field.
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Aims/Background Pregnancy can affect various bodily functions, including metabolism, cardiovascular function, and eyesight. Pathological ocular changes observed during pregnancy are linked to the development of pregnancy-specific conditions, such as preeclampsia/eclampsia and gestational diabetes. This study aims to analyze clinical data disease history and maternal characteristics collected during pregnancy, to determine ocular parameters and develop a risk prediction model for adverse ocular outcomes. ⋯ Additionally, hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome were predictors of retinal hemorrhage and exudate during pregnancy (p < 0.05). The area under the ROC curve for adverse ocular outcomes were 0.75 and 0.74, respectively. Conclusion Our predictive model effectively forecasts adverse ocular outcomes during pregnancy, incorporating risk factors such as maternal age, eclampsia and pre-eclampsia, GDM, obesity, a history of chronic hypertension, hypoproteinemia, IUGR, pregnancy with immunoglobulin A nephropathy, and HELLP syndrome.
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Aims/Background Pulmonary arterial hypertension (PAH) is a significant contributor to increased overall and cardiovascular mortality in peritoneal dialysis (PD) patients. Cardiopulmonary exercise testing (CPET) is an accurate method for measuring cardiorespiratory fitness (CRF) during both submaximal and peak exercise. Previous studies have demonstrated a strong correlation among CRF and increased cardiovascular and overall mortality rates. ⋯ ROC curve analysis showed that the AUC values for predicting PAH in PD patients using VO2peak, VO2AT, METspeak, and WRpeak were 0.675, 0.651, 0.719, and 0.689, respectively, with METspeak demonstrating the highest AUC for prediction. Conclusion The occurrence of PAH in PD patients is associated with WBC, VO2peak, VO2AT, METspeak, and WRpeak. Additionally, CPET parameters exhibit predictive value for PAH, with METspeak showing the highest AUC for prediction.
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In the last decade or so obstetric care has evolved and become more complex. This can be attributed to a combination of factors including rising obesity rates, maternal age and medical treatment advances. Clinicians are caring for more pregnant women with chronic medical disease in addition to any de novo presentations which may occur, emphasising the need for the general medicine body to feel confident and skilled in the management of medical problems before, during and after pregnancy. ⋯ Unfortunately, clinician inertia around the care of pregnant women is a common feature in maternal mortality reviews. The most recent maternal mortality report discusses common themes around cardiovascular disease in pregnancy, alongside management of acute and acute-on-chronic presentations in the context of common endocrine, gastrointestinal and neurological disease in pregnancy. This article discusses some of these themes and the management of common medical problems in pregnancy.