An examination of the quality and performance of the Alda scale for classifying lithium response phenotypes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F20%3A43920140" target="_blank" >RIV/00023752:_____/20:43920140 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/bdi.12829" target="_blank" >https://onlinelibrary.wiley.com/doi/abs/10.1111/bdi.12829</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/bdi.12829" target="_blank" >10.1111/bdi.12829</a>

Result language

angličtina

Original language name

An examination of the quality and performance of the Alda scale for classifying lithium response phenotypes

Original language description

The Retrospective Assessment of the Lithium Response Phenotype Scale (Alda scale) is the most widely used clinical measure of lithium response phenotypes. We assess its performance against recommended psychometric and clinimetric standards. We used data from the Consortium for Lithium Genetics and a French study of lithium response phenotypes (combined sample &gt;2500) to assess reproducibility, responsiveness, validity, and interpretability of the A scale (assessing change in illness activity), the B scale, and its items (assessing confounders of response) and the previously established response categories derived from the Total Score for the Alda scale. The key findings are that the B scale is vulnerable to error measurement. For example, some items contribute little to overall performance of the Alda scale (eg, B2) and that the B scale does not reliably assess a single construct (uncertainty in response). Machine learning models indicate that it may be more useful to employ an algorithm for combining the ratings of individual B items in a sequence that clarifies the noise to signal ratio instead of using a composite score. This study highlights three important topics. First, empirical approaches can help determine which aspects of the performance of any scale can be improved. Second, the B scale of the Alda is best applied as a multidimensional index (identifying several independent confounders of the assessment of response). Third, an integrated science approach to precision psychiatry is vital, otherwise phenotypic misclassifications will undermine the reliability and validity of findings from genetics and biomarker studies.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30215 - Psychiatry

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Bipolar Disorders

ISSN

1398-5647

e-ISSN

—

Volume of the periodical

22

Issue of the periodical within the volume

3

Country of publishing house

DK - DENMARK

Number of pages

11

Pages from-to

255-265

UT code for WoS article

000487390600001

EID of the result in the Scopus database

2-s2.0-85074039063