Objective: To determine the sensitivity and specificity of an alcoholism screening test not previously tested in the elderly.
Design: Cross-sectional study, face-to-face interviews.
Setting: Veterans Administration (VA) outpatient facility.
Patients/participants: Men greater than or equal to 70 years old seeking care in a newly established VA outpatient facility were invited to participate in a health assessment program. Of 109 participants who enrolled, 96 completed both interviews.
Interventions: The screening test was administered by an internist as part of a medical history. The Michigan Alcoholism Screening Test (MAST), used as the "gold standard," was administered by a trained interviewer as part of a longer structured interview.
Measurements And Main Results: The screening test had a sensitivity of 0.52 and a specificity of 0.76 in this sample.
Conclusions: The sensitivity and specificity of the screening test were lower in this sample in comparison with previously reported results in a younger population. Differences in the test performance may be related to differences in attitudes and drinking behaviors of elderly veterans when compared with those of younger men and women.
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http://dx.doi.org/10.1007/BF02600408 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.
The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.
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January 2025
Center for Fetal Medicine and Pregnancy, Department of Gynecology, Fertility, and Pregnancy, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Objective: To evaluate the prevalence of chromosomal aberrations in fetuses with isolated PRUV in a nationwide cohort with 1st-trimester screening for aneuploidies.
Method: A retrospective study including all pregnancies in Denmark with a due date between 2010 and 2022. We retrieved all cases from patient files, where we searched for "PRUV" in the conclusion field.
Ann Hematol
January 2025
Department of Obstetrics and Gynecology, The Helen Schneider Hospital for Women, Rabin Medical Center, Petach-Tikva, Israel.
Chronic Graft-versus-host disease (GVHD) is a major complication of allogeneic hematopoietic stem cell transplantation (HSCT), affecting the female genital tract in 25-66% of the patients. This condition, referred to as Genital GVHD is an underdiagnosed gynecologic comorbidity, that can significantly impair quality of life. We aimed to describe the prevalence and management of genital GVHD following HSCT.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Medicine, Surgery and Dentistry, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Fisciano, Italy.
Subtle gait and cognitive dysfunction are common in Parkinson's disease (PD), even before most evident clinical manifestations. Such alterations can be assumed as hypothetical phenotypical and prognostic/progression markers. To compare spatiotemporal gait parameters in PD patients with three cognitive status: cognitively intact (PD-noCI), with subjective cognitive impairment (PD-SCI) and with mild cognitive impairment (PD-MCI) in order to detect subclinical gait differences.
View Article and Find Full Text PDFSci Rep
January 2025
Gastroenterology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a cohort of 266 patients, comprising 115 individuals diagnosed with PNETs and 151 with pancreatic cancer. These patients were randomly assigned to the training or test group in a 7:3 ratio.
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