Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) assessment and monitoring

Abstract

A patient is monitored for a medical condition such as acute lung injury (ALl) by operations including: (i) receiving values of a plurality of physiological parameters for the patient; (ii) computing an ALl indicator value based at least on the received values of the plurality of physiological parameters for the patient; and (iii) displaying a representation of the computed ALl indicator value on a display (14, 22). The computing operation (ii) may employ various inference algorithms trained on a training set comprising reference patients to distinguish between reference patients having ALl and reference patients not having ALl, or may employ an aggregation of two or more such inference algorithms. If patients in an ICU are monitored, the display (22) may simultaneously display a diagrammatic representation of each patient including an identification of the patient and a representation of the ALl indicator value for the patient.

Description

technical field [0001] The following relates to the fields of medical monitoring, clinical decision support systems, intensive care monitoring and patient assessment, etc. Background technique [0002] Acute lung injury (ALI) is a devastating complication of acute illness and one of the leading causes of multi-organ failure and death in the intensive care unit (ICU). ALI is also sometimes called acute respiratory distress syndrome (ARDS). ALI is estimated to be prevalent in 7-10% of all ICU patients and exhibits a high mortality rate greater than 40% after discharge. However, less than one-third of ALI patients are detected by ICU physicians. [0003] One method for the detection or prediction of ALI is known as the ALI prediction score, which uses chronic and acute disease information to identify patients who are more likely to develop ALI during their hospitalization. However, this method provides little insight into the timing of development. Another known method is t...

AI Technical Summary

Problems solved by technology

As such, ALI sniffers are limited by their reliance on the availability of patient-specific ABG analysis and chest X-ray testing

Obtaining and utilizing imaging evidence of bilateral infiltrates characterizing ALI is resource intensive, time consuming, and patient damaging, and in many ICU settings relevant data are not available, at least during the critical initial phase of patient admission and triage. acquired

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