{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T19:49:04Z","timestamp":1791402544789,"version":"4.3.3"},"reference-count":21,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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\u2010reactive 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>ICIS predicted infections with the highest AUC (0.958) of all analyzed markers. The cut\u2010off value (&lt;\u20094) 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%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>ICIS is a reliable, cheap, fast, and simply interpretable score for the early identification of infection in patients admitted to ICUs. ICIS\u2009\u2265\u20094 predicts infection with high sensitivity, specificity, and negative predictive value.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.14468","type":"journal-article","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T07:58:04Z","timestamp":1743667084000},"page":"707-712","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Intensive Care Infection Score (<scp>ICIS<\/scp>) is an Early Marker for Infection in Time of Admission to Intensive Care Units"],"prefix":"10.1111","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9880-117X","authenticated-orcid":false,"given":"Filip","family":"Vrback\u00fd","sequence":"first","affiliation":[{"name":"4th Department of Internal Medicine \u2013 Hematology University Hospital Hradec Kr\u00e1lov\u00e9  Hradec Kralove Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Bla\u017eek","sequence":"additional","affiliation":[{"name":"Pulmonary Clinic University Hospital Hradec Kr\u00e1lov\u00e9  Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilona","family":"F\u00e1torov\u00e1","sequence":"additional","affiliation":[{"name":"4th Department of Internal Medicine \u2013 Hematology University Hospital Hradec Kr\u00e1lov\u00e9  Hradec Kralove Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karol\u00edna","family":"\u0160\u00edmov\u00e1","sequence":"additional","affiliation":[{"name":"Department of Biological and Medical Sciences, Faculty of Pharmacy Charles University  Hradec Kr\u00e1lov\u00e9 Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pavel","family":"\u017d\u00e1k","sequence":"additional","affiliation":[{"name":"4th Department of Internal Medicine \u2013 Hematology University Hospital Hradec Kr\u00e1lov\u00e9  Hradec Kralove Czech Republic"},{"name":"Faculty of Medicine in Hradec Kr\u00e1lov\u00e9 Charles University  Hradec Kr\u00e1lov\u00e9 Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2014.2637"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001340051121"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134\u2010004\u20102166\u2010z"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1590\/S1516\u201031802009000600006"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001340050644"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134\u2010002\u20101392\u20105"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.09\u20102920"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1055\/s\u20102007\u2010989250"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcts.2005.07.007"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879\u2010019\u20104618\u20107"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/ijlh.12562"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.2174\/187152812800392841"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1177\/0300060514557711"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13054\u2010016\u20101366\u20106"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.0287"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jiph.2022.03.018"},{"key":"e_1_2_9_18_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2018"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471\u20102105\u201012\u201077"},{"key":"e_1_2_9_20_1","volume-title":"Interpreting Diagnostic Tests","author":"Tape T. 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