17 research outputs found

    A novel haemocytometric covid-19 prognostic score developed and validated in an observational multicentre european hospital-based study

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    COVID-19 induces haemocytometric changes. Complete blood count changes, including new cell activation parameters, from 982 confirmed COVID-19 adult patients from 11 European hospitals were retrospectively analysed for distinctive patterns based on age, gender, clinical severity, symptom duration and hospital days. The observed haemocytometric patterns formed the basis to develop a multi-haemocytometric-parameter prognostic score to predict, during the first three days after presentation, which patients will recover without ventilation or deteriorate within a two-week timeframe, needing intensive care or with fatal outcome. The prognostic score, with ROC curve AUC at baseline of 0.753 (95% CI 0.723-0.781) increasing to 0.875 (95% CI 0.806-0.926) on day 3, was superior to any individual parameter at distinguishing between clinical severity. Findings were confirmed in a validation cohort. Aim is that the score and haemocytometry results are simultaneously provided by analyser software, enabling wide applicability of the score as haemocytometry is commonly requested in COVID-19 patients

    Positional distributions of fatty acids in glycerolipids

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    Isolation of fatty acids and identification by spectroscopic and related techniques

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    Chromatographic analysis of molecular species of intact phospholipids and glycolipids

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    Lipids: their structures and occurrence

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    Lipid extraction, storage and sample handling

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    Introduction to mass spectrometric analysis of lipids in lipidomics

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    Analysis of simple lipid classes

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