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Primary Biliary Cholangitis (PBC) is a chronic cholestatic liver disease with a heterogeneous presentation, symptomatology, disease progression, and response to therapy. The current risk stratification assessment, aimed at identifying patients with a higher risk of disease progression, encompasses an in-depth analysis of demographic data, clinical and laboratory findings, antibody profiles, and the evaluation of liver fibrosis using both invasive and noninvasive techniques. Treatment response scores after one year of therapy remain to date a major factor influencing the prognosis of PBC patients. While the initial therapeutic approach with ursodeoxycholic acid (UDCA) is universally applied, new second-line treatment options have recently emerged, with many others under investigation. Consequently, the prevailing one-size-fits-all approach is poised to be supplanted by tailored strategies, ensuring high-risk patients receive the most appropriate treatment regimen from diagnosis. This will require the development of a risk prediction model to assess, at the time of diagnosis, the course, outcome, and response to first and additional treatments of PBC patients. This manuscript provides a comprehensive overview of the current and emerging tools used for risk stratification in PBC and speculates on how these developments might shape the disease landscape in the near future.
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http://dx.doi.org/10.3390/jcm12175713 | DOI Listing |
J Gerontol A Biol Sci Med Sci
September 2025
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Background: Ambulatory older residents in long-term care(LTC) have the highest risk of falling. However, the relationship between ambulatory activity (steps per day) and fall risk in LTC is unclear. This study examined whether baseline daily step count, functional capacity and cognitive function predicted falls in LTC residents, and whether functional capacity modified the relationship between step count and fall risk.
View Article and Find Full Text PDFJ Intensive Care Med
September 2025
Medical Intensive Care Unit, 108 Military Central Hospital, Hanoi, Vietnam.
Background: Bedside ultrasound is increasingly utilized to assess muscle mass in critically ill patients, providing a noninvasive and real-time tool for early risk stratification. Muscle wasting is known to be associated with adverse outcomes in septic shock, but its prognostic value using ultrasound in this population remains underexplored. This study aimed to investigate the association between changes in rectus femoris cross-sectional area (CSA), assessed by bedside ultrasound, and 28-day mortality in patients with septic shock.
View Article and Find Full Text PDFJ Intensive Care Med
September 2025
Independent Researcher, Outcomes Research, Atlanta, GA, USA.
Purpose: Obesity is a risk factor for sepsis complications in older adults. We assessed the impact of metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) on outcomes in septic shock.
Methods: We conducted a retrospective analysis using the National Inpatient Sample (2016-2020) to identify a cohort of 1,737,075 patients aged 65 years and older who were hospitalized with septic shock, as defined by ICD-10 diagnosis codes.
Neuroradiology
September 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purpose: To develop and validate an integrated model based on MR high-resolution vessel wall imaging (HR-VWI) radiomics and clinical features to preoperatively assess periprocedural complications (PC) risk in patients with intracranial atherosclerotic disease (ICAD) undergoing percutaneous transluminal angioplasty and stenting (PTAS).
Methods: This multicenter retrospective study enrolled 601 PTAS patients (PC+, n = 84; PC -, n = 517) from three centers. Patients were divided into training (n = 336), validation (n = 144), and test (n = 121) cohorts.
J Ultrasound Med
September 2025
Department of Ultrasound, Donghai Hospital Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Objective: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics (DLRN) features derived from ultrasound and multi-sequence magnetic resonance imaging (MRI) for predicting survival, recurrence, and metastasis in patients diagnosed with triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC).
Methods: This retrospective, multicenter study included 103 patients with histopathologically confirmed TNBC across four institutions. The training group comprised 72 cases from the First People's Hospital of Lianyungang, while the validation group included 31 cases from three external centers.