In the current investigation, the authors examined the diagnostic construct validity of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) in a patient sample. All participants were diagnosed via the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I/P). The data set used in this study was composed of 544 patients--67 with bipolar disorder, 407 with major depressive disorder, and 70 with schizophrenia. Multivariate analyses revealed a pattern of mean scale differences among patient groups that was mostly consistent with the prominent features of each diagnostic group; logistic regression analyses identified a number of scales that were strong, unique predictors in the differentiation between pairs of diagnostic groups. The higher order scales (H-O)--the Emotional/Internalizing Dysfunction (EID) and Thought Dysfunction (THD) scales were most useful in differentiating between patient groups. For differentiating bipolar disorder patients from the other diagnostic groups, the Activation (ACT) Specific Problem scale was most useful. Although not all hypothesized scale differences emerged; overall, the pattern of results provides support for the diagnostic construct validity of the MMPI-2-RF scales.
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http://dx.doi.org/10.1177/1073191111428763 | 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.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Medicine, Weill Cornell Medicine, 525 E 68th St., New York, NY, 10065, USA.
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) are ongoing, relapsing, or new symptoms present at least 3 months after infection. Predictors of PASC, particularly across diverse racial and ethnic groups, remain unclear.
Objectives: Assess the prevalence of PASC 1 year after infection, examining differences in PASC prevalence by the social construct of race.
Sci 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.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Obstetrics, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510150, China.
The combined impact of concurrent primary Sjögren's syndrome (pSS) and autoimmune thyroid disease (AITD) on pregnancy outcomes remains underreported. A retrospective analysis was conducted on 115 pregnant patients diagnosed with pSS and delivering at the Third Affiliated Hospital of Guangzhou Medical University from January 2009 to July 2023. The effects of AITD on maternal and neonatal outcomes were examined and compared to a control group without AITD.
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