The possibility of characterizing subgroups of depressive disorders by biological markers was studied by means of the dexamethasone suppression test (DST), the 24-hr urinary free cortisol (UFC), the growth hormone response to the insulin tolerance test (ITT), and polygraphic sleep recordings. Forty-five hospitalized patients suffering from a moderate to severe nonpsychotic major depressive disorder were clinically subdivided into three groups: endogenous (n = 20), neurotic (n = 19), and "ambiguous" (n = 6). These clinical diagnoses were supplemented by operational diagnostic tools, namely, the Research Diagnostic Criteria (RDC) and the Newcastle Scale. The different diagnostic procedures exhibited a high degree of correspondence. Whereas the results of the ITT were normal in almost all patients, 20% of all patients were dexamethasone nonsuppressors and more than half of the patients showed a shortened REM latency. Both markers did not reveal any specificity for the endogenous subtype. A significant influence of weight loss on the DST and the excretion of UFC was evident.
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Brain Behav Immun Health
February 2025
Dept of Immunology, Erasmus Medical Center, Rotterdam, the Netherlands.
Background: A considerable proportion (21%) of patients with common variable immunodeficiency (CVID) suffers from depression. These subjects are characterized by reduced naïve T cells and a premature T cell senescence similar to that of patients with major depressive disorder (MDD). It is known that T cells are essential for limbic system development/function.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Kailong Gu Department of Geriatric Psychiatry, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang Province 313000, China.
Background & Objective: Obstructive sleep apnea (OSA) has been increasingly recognized as a comorbidity in many psychiatric disorders, including bipolar disorder (BD). This study aimed to synthesize existing evidence to determine the frequency of OSA in patients diagnosed with BD and identify potential predictors of its occurrence.
Methods: PubMed, Scopus, CENTRAL (Cochrane Central Register of Controlled Trials), and Google Scholar databases were searched for English-language papers published up from 1 January 1960 to 31 October 2023 that reported incidences of OSA in patients with BP and provided sufficient data for quantitative analysis.
Indian J Psychiatry
December 2024
Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Background: Many studies in India and all over the world have focused on the psychological aspect of infertility in women, but only a few have explored it among men. To deal with psychological distress, sometimes, individuals may use maladaptive coping strategies which can further worsen the stress instead of reducing it.
Aim: To assess symptoms of depression, anxiety, stress, and various coping strategies adopted by men with infertility along with exploring their coping experiences.
Indian J Psychiatry
December 2024
Department of Psychiatry, Government Medical College and Hospital, Chandigarh, India.
Background: Postpartum depression (PPD) is a serious concern with multifactorial etiology. Association between prenatal anxiety, pain, and depression has been theorized.
Aim: In this randomized controlled trial, we studied the effect of pain relief by combined spinal epidural (CSE) and other factors influencing PPD.
Rev Cardiovasc Med
January 2025
Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, 230001 Hefei, Anhui, China.
Background: This study aimed to develop and validate a predictive model for major depression risk in adult patients with coronary heart disease (CHD), offering evidence for targeted prevention and intervention.
Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, 1098 adults with CHD were included. A weighted logistic regression model was applied to construct and validate a nomogram-based prediction tool for major depression in this population.
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