Predicting intra-abdominal hypertension using anthropometric measurements and machine learning.

ABSTRACT: Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently, the gold standard for measuring intra-abdominal pressure (IAP) is via the bladder. Measurement of IAP is important to identify IAH early and thus implement appropriate management in order to avoid complications. It may be possible to use anthropometric parameters to predict IAP and thus identify IAH non-invasively. This retrospective observational study investigated how the most relevant body parameters evolve in relation to IAP, and whether IAP can be predicted based on anthropometric parameters. The IAP and 28 body parameters of 96 critically ill patients were recorded. Following statistical analyses such as Pearson's and mutual information correlation, the collected data were used to tr

SUBMITTER: Tayebi S 

PROVIDER: S-EPMC11923215 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature