Validation of existing clinical prediction tools for primary aldosteronism subtyping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F22%3A00083501" target="_blank" >RIV/00023001:_____/22:00083501 - isvavai.cz</a>
Alternative codes found
RIV/00064173:_____/22:43924360 RIV/00064165:_____/22:10450887 RIV/00216208:11110/22:10450887 RIV/00216208:11120/22:43924360
Result on the web
<a href="https://www.mdpi.com/2075-4418/12/11/2806" target="_blank" >https://www.mdpi.com/2075-4418/12/11/2806</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/diagnostics12112806" target="_blank" >10.3390/diagnostics12112806</a>
Alternative languages
Result language
angličtina
Original language name
Validation of existing clinical prediction tools for primary aldosteronism subtyping
Original language description
The new clinical prediction score (SCORE) has been recently proposed for primary aldosteronism (PA) subtyping prior to adrenal vein sampling (AVS). This study aimed to compare that SCORE with previously published scores and their validation using a cohort of patients at our center who had had positive SIT confirming PA and had been diagnosed with either bilateral PA according to AVS or unilateral PA if biochemically cured after an adrenalectomy. Final diagnoses were used to evaluate the diagnostic performance of the proposed clinical prediction tools. Only Kamemura's model (with a maximum score of 4 points) and Kobayashi's score (with a maximum score of 12 points) reached 100% reliability for prediction of bilateral PA; however, with sensitivity of only 3%. On the other hand, the values of SCORE = 3 (with sensitivity of 48%), the SPACE score >= 18 (with sensitivity of 35%), the Kobayashi's score <= 2 (with sensitivity of 28%), and the Kocjan's score = 3 (with sensitivity of 28%) were able to predict unilateral PA with 100% probability. Furthermore, Umakoshi's and Young's models both reached 100% reliability for a unilateral PA with score = 4 and both predictive factors together respectively; however, the sensitivity was lower compared with previous models; 4% and 14%, respectively. None of the clinical prediction tools applied to our cohort predicted unilateral and bilateral subtypes together with the expected high diagnostic performance, and therefore can only be used for precisely defined cases.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30218 - General and internal medicine
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Diagnostics
ISSN
2075-4418
e-ISSN
2075-4418
Volume of the periodical
12
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
"art. no. 2806"
UT code for WoS article
000894712500001
EID of the result in the Scopus database
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