Intensive Care Infection Score (ICIS) is an Early Marker for Infection in Time of Admission to Intensive Care Units

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00179906%3A_____%2F25%3A10499666" target="_blank" >RIV/00179906:_____/25:10499666 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11150/25:10499666 RIV/00216208:11160/25:10499666

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R662PDNCWC" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R662PDNCWC</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ijlh.14468" target="_blank" >10.1111/ijlh.14468</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Intensive Care Infection Score (ICIS) is an Early Marker for Infection in Time of Admission to Intensive Care Units

Popis výsledku v původním jazyce

Background: Despite all the effort, infections remain one of the major causes of morbidity and mortality in clinically ill patients, and novel diagnostic markers detecting infections in early stages are searched for. Intensive Care Infection Score (ICIS) was developed as such a marker. Methods: A total of 102 patients admitted to intensive care units (ICU) in the University Hospital Hradec Kralove, Czech Republic were enrolled in this study. ICIS along with relevant biochemical markers (procalcitonin, C-reactive protein and Interleukin 6) was analyzed on the day of the admission. Individual parameters used to calculate ICIS were analyzed too. Infection was subsequently confirmed in 30 patients. Results: ICIS predicted infections with the highest AUC (0.958) of all analyzed markers. The cut-off value (&lt; 4) was selected as the value with the highest Youden index, and it predicted sepsis with high specificity (84.2%) and sensitivity (93.3%). Negative predictive value was very high too (96.8%). Positive predictive value was 71.8%. Conclusions: ICIS is a reliable, cheap, fast, and simply interpretable score for the early identification of infection in patients admitted to ICUs. ICIS &gt;= 4 predicts infection with high sensitivity, specificity, and negative predictive value.

Název v anglickém jazyce

Intensive Care Infection Score (ICIS) is an Early Marker for Infection in Time of Admission to Intensive Care Units

Popis výsledku anglicky

Background: Despite all the effort, infections remain one of the major causes of morbidity and mortality in clinically ill patients, and novel diagnostic markers detecting infections in early stages are searched for. Intensive Care Infection Score (ICIS) was developed as such a marker. Methods: A total of 102 patients admitted to intensive care units (ICU) in the University Hospital Hradec Kralove, Czech Republic were enrolled in this study. ICIS along with relevant biochemical markers (procalcitonin, C-reactive protein and Interleukin 6) was analyzed on the day of the admission. Individual parameters used to calculate ICIS were analyzed too. Infection was subsequently confirmed in 30 patients. Results: ICIS predicted infections with the highest AUC (0.958) of all analyzed markers. The cut-off value (&lt; 4) was selected as the value with the highest Youden index, and it predicted sepsis with high specificity (84.2%) and sensitivity (93.3%). Negative predictive value was very high too (96.8%). Positive predictive value was 71.8%. Conclusions: ICIS is a reliable, cheap, fast, and simply interpretable score for the early identification of infection in patients admitted to ICUs. ICIS &gt;= 4 predicts infection with high sensitivity, specificity, and negative predictive value.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30205 - Hematology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

International Journal of Laboratory Hematology

ISSN

1751-5521

e-ISSN

1751-553X

Svazek periodika

47

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

707-712

Kód UT WoS článku

001458103700001

EID výsledku v databázi Scopus

2-s2.0-105002130125