Objective: The reliability and accuracy of the best-estimate diagnostic procedure were examined, and factors associated with reliability were determined.
Method: The subjects were 134 members of large multigenerational pedigrees densely affected by bipolar disorders or schizophrenia. Three best-estimate diagnoses were derived: first, by a research psychiatrist and research assistant unblind to the relatives' diagnoses; second, by two blind independent psychiatrists; third, by a panel of four blind psychiatrists. The subjects were characterized on several clinical and methodological variables, which were used to compare the agreements of two types of best-estimate diagnoses with the disagreements.
Results: There was satisfactory agreement between the unblind and blind consensus best-estimate diagnoses and between the two blind independent psychiatrists. Latent class analyses revealed that limited sensitivity was the main source of imperfect reliability. Confusability analyses revealed that the most problematic diagnostic distinctions involved schizoaffective disorder, which was confused with schizophrenia, bipolar I disorder, and schizophreniform disorder. Blindness significantly affected diagnostic outcome in latent class analyses. Moreover, for diagnostic disagreements, unblind diagnoses had greater continuity with the most predominant diagnosis in the pedigree than did blind diagnoses. Diagnostic disagreements were associated with the presence of mixed affective and psychotic symptoms, less diagnostic certainty, and shorter duration of illness.
Conclusions: These results suggest that it is possible to identify cases that are more likely to lead to diagnostic disagreements in family and epidemiological studies and that blind diagnoses may help to prevent false positive diagnoses, which may be particularly detrimental to genetic linkage analyses.
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http://dx.doi.org/10.1176/ajp.154.12.1726 | DOI Listing |
J Fluency Disord
October 2024
Manchester Centre for Audiology & Deafness (ManCAD), University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Mol Autism
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Department of Psychological Sciences, University of Connecticut, 406 Babbidge Road, Storrs, CT, 06269, USA.
Background: "Frank autism," recognizable through the first minutes of an interaction, describes a behavioral presentation of a subset of autistic individuals that is closely tied to social communication challenges, and may be linked to so-called "prototypical autism." To date, there is no research on frank autism presentations of autistic adolescents and young adults, nor individuals diagnosed with autism spectrum disorder (ASD) in childhood who do not meet diagnostic criteria during or after adolescence (loss of autism diagnosis, LAD). In addition, there are currently no data on the factors that drive frank autism impressions in these adolescent groups.
View Article and Find Full Text PDFERJ Open Res
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Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Introduction: Exacerbation of COPD complicated by respiratory acidaemia is the commonest indication for noninvasive ventilation (NIV). The NIV outcomes (NIVO) score offers the best estimate of survival for those ventilated. Unfortunately, two-thirds of cases of COPD are unrecognised, and patients may present without COPD having been confirmed by spirometry.
View Article and Find Full Text PDFNeuroimage
December 2024
Department of Psychology, Sapienza University of Rome, via dei Marsi 78, Rome, 00185, Italy; IRCCS Fondazione Santa Lucia, via Ardeatina, 354, Rome, 00179, Italy. Electronic address:
Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. However, EEG source estimation techniques encounter numerous methodological challenges, with a key one being the selection of the regularization parameter in minimum norm estimation. This choice is particularly intricate because the optimal amount of regularization for EEG source estimation may not align with the requirements of EEG connectivity analysis, highlighting a nuanced trade-off.
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Research in Developmental Diversity Lab (RIDDL), UGent, Department of Experimental Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium.
This study examined the recurrence rate of autism in siblings at elevated likelihood (EL) and the predictive validity of the Q-CHAT and ADOS-2 at 14 and 24 months (m) for a clinical best estimate (CBE) autism diagnosis at 3 years. 331 EL-siblings (47.9% girls) from the prospective longitudinal EuroSibs study underwent ADOS-2 assessments and caregivers completed the Q-CHAT at 14 m and 24 m.
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