Yani Ramdani, Nia Kurniati Syam, Yayat Karyana, Diar Herawati
Problem-based learning in research method courses: development, application and evaluation
F1000Research
identifying phenotypes sepsis patients may enable precision medicine approaches however generalisability phenotypes specific patient populations unclear given paediatric cancer patients sepsis different host response pathogen profiles higher mortality rates compared noncancer patients determined whether unique reproducible clinicallyrelevant sepsis phenotypes exist specific patient population studied patients underlying malignancies admitted sepsis one 25 paediatric intensive care units picus participating two large multicentre observational cohorts european scoter study n 383 patients study period january 1 2018 january 1 2020 us novel datadriven sepsis phenotypes children study n 1898 patients study period january 1 2012 january 1 2018 independently used latent class analysis lca cohorts identify phenotypes using demographic clinical laboratory data first 24 h picu admission tested association phenotypes clinical outcomes cohorts lca identified two distinct phenotypes comparable across cohorts phenotype 1 characterised lower serum bicarbonate albumin markedly increased lactate hepatic renal coagulation abnormalities compared phenotype 2 patients phenotype 1 higher 90day mortality european cohort 292 versus 134 us cohort 273 versus 114 p 0001 received vasopressor renal replacement therapy patients phenotype 2 adjusting severity organ dysfunction haematological cancer prior stem cell transplantation age phenotype 1 associated adjusted death 90day 19 104334 european cohort 16 1222 us cohort identified two clinicallyrelevant sepsis phenotypes paediatric cancer patients reproducible across two international multicentre cohorts prognostic implications results may guide research regarding therapeutic approaches specific phenotypes part study funded eunice kennedy shriver national institute child health human development