Aim: To investigate the relationship between somatic health problems and comorbid condition of anxiety and depression.
Methods: The cross-sectional study in a population of 2,000 students of the Belgrade University (four schools: Medicine, Geography, Economics, Electrical Engineering) during the period April - June 2010 was conducted. The students were randomly selected. The main instrument for data collection was a standardized epidemiological questionnaire, designed at the Institute of Epidemiology, School of Medicine in Belgrade.
Results: According to the Hamilton Depression Scale (HAMD), correlation was found between the following somatic diseases and depression: diabetes (p=0.003), hypertension (p=0.007), heart disease (p=0.001), chronic bronchitis (p=0.033), neurological diseases (p=0.013), and gastric or duodenal ulcer (p=0.003). According to the Hamilton Anxiety Scale (HAMA) a correlation was found between the following somatic diseases and anxiety: diabetes (p=0.020), hypertension (p less than 0.001), heart disease (p=0.000), chronic bronchitis (p=0.037), bronchial asthma (p=0.049), gastric or duodenal ulcer (p=0.003).
Conclusion: Depression and anxiety are common in persons with somatic diseases and have a significant association with physical health. This has considerable implications for somatic diseases management and clinical guidelines.
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Familial Platelet Disorder with associated Myeloid Malignancy (FPDMM, FPD/AML, -FPD), caused by monoallelic deleterious germline variants, is characterized by bleeding diathesis and predisposition for hematologic malignancies, particularly myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Clinical data on FPDMM-associated AML (FPDMM-AML) are limited, complicating evidence-based clinical decision-making. Here, we present retrospective genetic and clinical data of the largest cohort of FPDMM patients reported to date.
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Department of Medicine II, LMU University Hospital, LMU Munich, Munich, Germany.
The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. This is well reflected by a patient's inability to work (ITW). In this study, we aimed to investigate factors associated with ITW (1) and to design a machine learning-based model for predicting ITW (2) twelve months after baseline.
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Lester & Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
As the first mammal to be domesticated for research purposes, rats served as the primary animal model for various branches of biomedical research, including breast cancer studies, up until the late 1990s and early 2000s. During this time, genetic engineering of mice, but not rats, became routine, and mice gradually supplanted rats as the preferred rodent model. But recent advances in creating genetically engineered rat models, especially with the assistance of CRISPR/Cas9 technology, have rekindled the significance of rats as a critical model in exploring various facets of breast cancer research.
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Department of Internal Medicine III, University Hospital Ulm, Ulm, Germany.
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Hematology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, 09121, Italy.
VEXAS syndrome is a complex hemato-inflammatory disorder, driven by somatic mutations in the UBA1 gene within hematopoietic precursor cells. It is characterized by systemic inflammation, rheumatological manifestations, and frequent association with myelodysplastic syndrome (MDS). We present a series of four VEXAS cases, all of which include concomitant MDS, each displaying distinct genetic signatures and clinical features at diagnosis, with a focus on their diagnostic and therapeutic implications.
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