Vrbacký Filip, Blažek Martin, Fátorová Ilona, Šímová Karolína, Žák Pavel
4th Department of Internal Medicine - Hematology, University Hospital Hradec Králové, Hradec Kralove, Czech Republic.
Pulmonary Clinic, University Hospital Hradec Králové, Czech Republic.
Int J Lab Hematol. 2025 Aug;47(4):707-712. doi: 10.1111/ijlh.14468. Epub 2025 Apr 2.
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.
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.
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%.
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.
尽管付出了诸多努力，但感染仍是临床重症患者发病和死亡的主要原因之一，人们一直在寻找能够早期检测感染的新型诊断标志物。重症监护感染评分（ICIS）就是作为这样一种标志物而开发的。
本研究纳入了捷克共和国赫拉德茨克拉洛韦大学医院重症监护病房（ICU）收治的102例患者。在入院当天对ICIS以及相关生化标志物（降钙素原、C反应蛋白和白细胞介素6）进行分析。还对用于计算ICIS的各个参数进行了分析。随后在30例患者中确诊感染。
在所有分析的标志物中，ICIS对感染的预测AUC最高（0.958）。选择临界值（<4）作为约登指数最高的值，它对脓毒症的预测具有高特异性（84.2%）和敏感性（93.3%）。阴性预测值也非常高（96.8%）。阳性预测值为71.8%。
ICIS是一种可靠、廉价、快速且易于解读的评分，可用于早期识别入住ICU患者的感染。ICIS≥4对感染的预测具有高敏感性、特异性和阴性预测值。
