Validation of existing clinical prediction tools for primary aldosteronism subtyping

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00064173:_____/22:43924360 RIV/00064165:_____/22:10450887 RIV/00216208:11110/22:10450887 RIV/00216208:11120/22:43924360

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Validation of existing clinical prediction tools for primary aldosteronism subtyping

Popis výsledku v původním jazyce

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&apos;s model (with a maximum score of 4 points) and Kobayashi&apos;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 &gt;= 18 (with sensitivity of 35%), the Kobayashi&apos;s score &lt;= 2 (with sensitivity of 28%), and the Kocjan&apos;s score = 3 (with sensitivity of 28%) were able to predict unilateral PA with 100% probability. Furthermore, Umakoshi&apos;s and Young&apos;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.

Název v anglickém jazyce

Validation of existing clinical prediction tools for primary aldosteronism subtyping

Popis výsledku anglicky

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&apos;s model (with a maximum score of 4 points) and Kobayashi&apos;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 &gt;= 18 (with sensitivity of 35%), the Kobayashi&apos;s score &lt;= 2 (with sensitivity of 28%), and the Kocjan&apos;s score = 3 (with sensitivity of 28%) were able to predict unilateral PA with 100% probability. Furthermore, Umakoshi&apos;s and Young&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30218 - General and internal medicine

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Diagnostics

ISSN

2075-4418

e-ISSN

2075-4418

Svazek periodika

12

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

15

Strana od-do

"art. no. 2806"

Kód UT WoS článku

000894712500001

EID výsledku v databázi Scopus

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