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.
- Klíčová slova
- Sysmex, infection score, infections, prediction,
- MeSH
- biologické markery krev MeSH
- C-reaktivní protein MeSH
- dospělí MeSH
- infekce * diagnóza krev MeSH
- interleukin-6 krev MeSH
- jednotky intenzivní péče * MeSH
- lidé středního věku MeSH
- lidé MeSH
- péče o pacienty v kritickém stavu * MeSH
- příjem pacientů MeSH
- prokalcitonin krev MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- sepse * diagnóza krev MeSH
- stupeň závažnosti nemoci MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
- Názvy látek
- biologické markery MeSH
- C-reaktivní protein MeSH
- interleukin-6 MeSH
- prokalcitonin MeSH
BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus is still a very dangerous and life-threatening disease with an extremely heterogeneous course. Older patients and those with comorbidities are at increased risk of death from the disease but young patients can develop potentially lethal complications too. For those reasons, numerous recent studies focus on the analysis of markers associated with early assessment of COVID-19 prognosis. Previous publications provided evidence for the Intensive Care Infection Score (ICIS) as an easy to use tool to assess the risk for bacterial infection in ICU patients based on a combination of haematologic parameters. This study evaluated the performance of ICIS as a prognostic marker of stages of disease in COVID-19 patients. METHODS: A total of 205 COVID-19 patients admitted to the University Hospital Hradec Kralove, Czech Republic, with symptoms of respiratory tract infection and a positive RT-PCR test for SARS-CoV-2 virus were enrolled in this study. Forty-nine patients developed mild COVID-19 symptoms (no oxygen therapy needed), 156 patients developed moderate or severe symptoms (supplemental oxygen therapy or death). RESULTS: ICIS predicted the mild or moderate/severe course with the highest AUC (0.773). The cut-off value (ICIS = 3.5) was selected as the value with the highest Youden index (0.423). The cut-off value could predict a mild or moderate/severe course of the disease with the highest specificity (77.6%) and positive predictive value (90.2%) of all markers used in this study. Sensitivity was 64.7%. CONCLUSION: ICIS is a reliable, cheap, fast and simply interpretable score for the early identification of moderate/severe course of COVID-19 in an early stage of the disease. ICIS> 3 predicts a severe course of the disease with high specificity and positive predictive value.
- Klíčová slova
- COVID-19, Coronavirus, ICIS, Infection score, Prognosis,
- MeSH
- COVID-19 * MeSH
- hospitalizace MeSH
- lidé MeSH
- péče o pacienty v kritickém stavu MeSH
- SARS-CoV-2 MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH