Background: Predicting patients who convert to bipolar disorder is important for deciding appropriate treatment for young adults with major depressive disorder (MDD). We focused on the predictive factors of bipolar conversion in a large population of young adults.
Methods: A nationwide, population-based electronic medical records database from the Health Insurance Review & Assessment service of South was used to investigate adjusted hazard ratio (HR) of each potential predictor of the bipolar converter group compared to the non-converter group using Cox regression analysis including age of onset, medication use, clinical features, comorbid disorders, admission, self-harm, and negative life events in childhood.
Results: Among 291,721 subjects who were initially diagnosed with MDD in young adults, 12,376 subjects experienced diagnostic conversion to bipolar disorder. The cumulative incidence was 6.46% during the average 3.26 years of follow-up. Among the predictive factors during diagnosis of MDD, antipsychotic use (HR 3.12, 95%CI, 2.99-3.26, p < 0.0001) and mood stabilizers (HR 2.45, 95%CI, 2.35-2.55, p < 0.0001) showed the strongest association with diagnostic conversion to bipolar disorder. In addition, female sex, younger age of onset, mood stabilizer use, recurrent depression, psychotic symptoms, and admission to a psychiatric ward during diagnosis of MDD were also associated with diagnostic conversion to bipolar disorder.
Conclusion: In young adults with MDD, antipsychotic and mood stabilizer use during diagnosis of MDD were the strongest predictive factors with diagnostic conversion to bipolar disorder during follow-up. If young adults with MDD need antipsychotics or mood stabilizer, patients should be carefully evaluated for possibility of bipolar disorder.
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http://dx.doi.org/10.1016/j.jad.2020.01.009 | DOI Listing |
J Pediatr Endocrinol Metab
December 2024
Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India.
Objectives: Exocrine pancreatic insufficiency has been demonstrated in type 1 diabetes (T1D); lower concentrations of pancreatic enzymes have been associated with metabolic risk (MR). Influence of puberty and MR factors on serum concentrations of amylase and lipase remain unexplored in Indian youth with T1D. 1) To characterize and predict determinants of serum amylase and lipase concentrations in adolescents/youth with T1D.
View Article and Find Full Text PDFMagn Reson Med
December 2024
Center for Image Sciences, High Field MR Research Group, Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Purpose: To implement a low-rank and subspace model-based reconstruction for 3D deuterium metabolic imaging (DMI) and compare its performance against Fourier transform-based (FFT) reconstruction in terms of spectral fitting reliability.
Methods: Both reconstruction methods were applied on simulated and experimental DMI data. Numerical simulations were performed to evaluate the effect of increasing acceleration factors.
Aggress Behav
January 2025
University of Technology Sydney, Sydney, New South Wales, Australia.
Street fight videos on the internet may provide information about little known aspects of human physical aggression, but their reliability is unclear. Analyses of 100 dyadic fight videos addressing ethological, game theoretic and sex-differentiated questions derived from research on other animals found that prefight verbalizations or gestural signals of nonaggressive or aggressive intent loosely predicted who would strike first and who would win. The head is the preferred strike target.
View Article and Find Full Text PDFInt J Colorectal Dis
December 2024
University Hospitals Birmingham, Bordesley Green East, Birmingham, B9 5SS, UK.
Purpose: Endoscopic resection is appropriate for selected colorectal polyp cancers, but significant variation exists in treatment. This study aims to investigate variation in management of screen-detected polyp cancers (T1), factors predicting primary endoscopic polypectomy and threshold for subsequent surgical resection.
Method: Patients with polyp cancers (T1) diagnosed by the bowel cancer screening programme (BCSP) were investigated at two screening centres (5 individual sites and 4 MDTs, 2012-2022).
Eur J Med Res
December 2024
Department of Geriatric Respiratory and Critical Care, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Background: This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Methods: Data were collected from two centers and categorized into development and validation cohorts. Using the development cohort, candidate variables were selected via the Recursive Feature Elimination (RFE) method.
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