Intensive Care Infection Score (ICIS) is an Early Marker for Infection in Time of Admission to Intensive Care Units
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216208:11150/25:10499666 RIV/00216208:11160/25:10499666
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Intensive Care Infection Score (ICIS) is an Early Marker for Infection in Time of Admission to Intensive Care Units
Original language description
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 (< 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 >= 4 predicts infection with high sensitivity, specificity, and negative predictive value.
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
30205 - Hematology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Laboratory Hematology
ISSN
1751-5521
e-ISSN
1751-553X
Volume of the periodical
47
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
707-712
UT code for WoS article
001458103700001
EID of the result in the Scopus database
2-s2.0-105002130125