Outcome following a first manic episode: cross‐national US and Taiwan comparison

Strakowski, Stephen M.; Tsai, Shang Ying; DelBello, Melissa P.; Chen, Chiao Chicy; Fleck, David E.; Adler, Caleb M.; Arndt, Stephan; Amicone, Jennifer

doi:10.1111/j.1399-5618.2007.00411.x

Cited by 26 publications

(22 citation statements)

References 29 publications

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“…table 1). The representativeness of the overall sample was mirrored by the fact that several studies covered more than one geographical area; for example, Strakowski et al [26] reported on relapses and recurrences of 2 independent samples from Cincinnati and Taipei, and the so-called EMBLEM study [27] included 530 investigators across 14 European countries.…”

Section: Resultsmentioning

confidence: 99%

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Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder

Raduà

Grunze

Amann

2017

Psychother Psychosom

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Background: Reported relapse and recurrence rates in bipolar disorder (BD) differ significantly between studies. Most data originate from highly selective patients participating in sponsored randomized controlled trials with narrow inclusion criteria. To estimate the true risk of a subsequent mood episode (SME) under real-world conditions, we conducted a meta-analysis of rates of SME as reported in naturalistic BD studies. Methods: PubMed, ScienceDirect, Scopus, and Web of Knowledge were searched until July 2015. Studies reporting the time until the emergence of an SME, from which individual data or Kaplan-Meier plots with censors marked could be retrieved, were included. Results: Twelve studies comprising 5,837 patients met the inclusion criteria. The median time to an SME in adults after an index episode was 1.44 years. The risk of an SME was 44% during the first year. Not having a SME during this first year lowered this risk to 19% in the second year. The risk was higher in bipolar II disorder (BD-II) than in bipolar I disorder (BD-I; HR = 1.5). In BD-I, the risk of a subsequent manic, mixed, or depressive mood episode was higher after an index episode of the same polarity (HR = 1.89-5.14). The overall risk of an SME was higher in patients with persisting subsyndromal symptoms (HR = 2.17). Conclusions: The data from this study provide a more reliable estimate of the risk of an SME in BD in real-world settings. Further research into the longitudinal course of BD-II is warranted to confirm its role as a risk factor for SME.

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Section: Resultsmentioning

confidence: 99%

“…In addition, some of the excluded studies had samples that overlapped with those of the included studies. Finally, 12 studies were eligible for inclusion in the meta-analysis [4,6,8,11,23,24,25,26,27,28,29,30](online suppl. table 1).…”

Section: Resultsmentioning

confidence: 99%

Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder

Raduà

Grunze

Amann

2017

Psychother Psychosom

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“…All the participants underwent direct interviews, which two of the experienced psychiatrists involved in this study conducted using the Chinese version of the Structured Clinical Interview (for the DSM-III-R Patient Edition) [18] to confirm the diagnosis of bipolar I disorder in addition to any prior history of psychiatric disorders. We simultaneously administered the WCST, measured hs-CRP and carried out brain MRI in the bipolar patients who had achieved DSM-IV-defined remission, that is, those who had Young Mania Rating Scale total scores <5 and Hamilton Depression Rating Scale total scores <7 continuously for 2 months [19]. …”

Section: Methodsmentioning

confidence: 99%

The Link between High-Sensitivity C-Reactive Protein and Orbitofrontal Cortex in Euthymic Bipolar Disorder

Chung

Huang

et al. 2013

Neuropsychobiology

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Objective: C-reactive protein (CRP), a marker of underlying low-grade inflammation, has been associated with the pathophysiology of bipolar disorder. Additionally, bipolar disorder may be accompanied by functional or structural cerebral alterations. We attempted to discover whether serum high-sensitivity CRP (hs-CRP) levels are linked to the structural volume change of a specific brain region along with cognitive performance. Methods: We recruited 17 physically healthy patients with bipolar I disorder (DSM-IV), aged 18-45 years and euthymic, to undergo the Wisconsin Card Sorting Test (WCST) and volumetric magnetic resonance imaging at 1.5 T. The analytic method was based on the hidden Markov random field model with an expectation-maximization algorithm, and the volume of each brain region was presented as a percentage of the total intracranial volume. Results: Among the various regions, only the orbitofrontal cortex had a significantly negative correlation with serum hs-CRP levels after adjustment for age and gender (left and right orbitofrontal cortex: r = -0.62, p < 0.01, and r = -0.67, p < 0.005, respectively). Regarding cognitive function, poor WCST performance was also associated with certain subregions of the orbitofrontal cortex. Conclusion: Elevation of serum hs-CRP levels, an indicator of inflammation, may be associated with reduced volume of the orbitofrontal cortex. Persistent inflammation in the euthymic phase of bipolar disorder may involve the pathogenesis or pathophysiology of alteration of the frontal pathway.

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“…After an overnight fast beginning at 24:00 h, BD-A patients and control subjects provided blood samples between 08:30 h and 09:30 h in the following morning. Follow-up blood samples of the same manic patients in remission (BD-R) were collected, that is, when they had Young Mania Rating Scale scores of Ͻ5 and Hamilton Depression Rating Scale-21 scores of Ͻ7 (33). Heparinized blood was drawn by venous puncture.…”

Section: Plasmamentioning

confidence: 99%

Antibody Profiling of Bipolar Disorder Using Escherichia coli Proteome Microarrays

Chen

Syu

Chung

et al. 2015

Molecular & Cellular Proteomics

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To profile plasma antibodies of patients with bipolar disorder (BD), an E. coli proteome microarray comprising ca. 4200 proteins was used to analyze antibody differences between BD patients and mentally healthy controls (HCs). The plasmas of HCs and patients aged 18 -45 years with bipolar I disorder (DSM-IV) in acute mania (BD-A) along with remission (BD-R) were collected. The initial samples consisting of 19 BD-A, 20 BD-R, and 20 HCs were probed with the microarrays. After selecting protein hits that recognized the antibody differences between BD and HC, the proteins were purified to construct BD focus arrays for training diagnosis committees and validation. Additional six BD-A, six BD-R, six HCs, and nine schizophrenic disorder (SZ, as another psychiatric control) samples were individually probed with the BD focus arrays. The trained diagnosis committee in BD-A versus HC combined top six proteins, including rpoA, thrA, flhB, yfcI, ycdU, and ydjL. However, the optimized committees in BD-R versus HC and BD-A versus BD-R were of low accuracy (< 0.6). In the single blind test using another four BD-A, four HC, and four SZ samples, the committee of BD-A versus HC was able to classify BD-A versus HC and SZ with 75% sensitivity and 80% specificity that both HC and SZ were regarded as negative controls. The consensus motif of the six proteins, which form the committee of BD-A versus HC, is [KE]DIL[AG]L[LV]I[NL][IC][SVKH]G[LV][VN][LV] byGapped Local Alignment of Motifs. We demonstrated that the E. coli proteome microarray is capable of screening BD plasma antibody differences and the selected proteins committee was successfully used for BD diagnosis with

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Outcome following a first manic episode: cross‐national US and Taiwan comparison

Abstract: The early course of BD varies between Chinese and American patients. Some of this variance results from demographic and clinical cross-national differences in premorbid variables. Other sources of variance remain to be identified.

Cited by 26 publications

References 29 publications

Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder

Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder

The Link between High-Sensitivity C-Reactive Protein and Orbitofrontal Cortex in Euthymic Bipolar Disorder

Antibody Profiling of Bipolar Disorder Using Escherichia coli Proteome Microarrays

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