Your browser doesn't support javascript.
Real-time, leukocyte-related, four times validated, patient data partitioning
Critical Care Conference: 42nd International Symposium on Intensive Care and Emergency Medicine Brussels Belgium ; 27(Supplement 1), 2023.
Article in English | EMBASE | ID: covidwho-2318614
ABSTRACT

Introduction:

Indicators that assess relationships among leukocytes may inform more and/or earlier than those measured in isolation. Method(s) Blood leukocyte differential counts collected from 101 Mayo Clinic COVID-19 patients were related to later outcomes following two approaches (i) as unstructured data (e.g., lymphocyte percentages) and (ii) as data structures that assess intercellular interactions. Analyzing the same primary data, it was asked whether information contents differed among methods and/or when two sets of structured indicators are used. Result(s) While unstructured data did not distinguish survivors from non-survivors (Fig. 1, rectangle A), one data structure (here identified with letters expressed in italics) exhibited one perpendicular inflection that differentiated two patient groups (B). Two survivor-related observations were also distinguished from the remaining data points (B). A second data structure also revealed a single line of observations and a perpendicular data inflection (C), while more (four) patient groups were identified (D). Four validations were conducted (i) increasing mortality levels among contiguous data subsets (0, 7.1, 16.2, or 44.4%) suggested construct validity (D);(ii) internal validity was indicated because 22 of the 45 survivors detected by the first data structure were also captured by the second one;(iii) the analysis of patients that differed in address, co-morbidities and other aspects supported external validity;and (iv) quasi non-overlapping data intervals predicted statistical validity (E, F). The structured approach also uncovered new and/ or dissimilar information different leukocyte-related ratios explained the clusters identified in these analyses (E, F). Conclusion(s) Structured data may yield more information than methods that do not assess multicellular interactions. Possible applications include daily, longitudinal, and personalized analysis of hospital data.
Keywords

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Critical Care Conference: 42nd International Symposium on Intensive Care and Emergency Medicine Brussels Belgium Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Critical Care Conference: 42nd International Symposium on Intensive Care and Emergency Medicine Brussels Belgium Year: 2023 Document Type: Article