Topological network analysis of patient similarity for precision management of acute blood pressure in spinal cord injury.

ABSTRACT:

Background

Predicting neurological recovery after spinal cord injury (SCI) is challenging. Using topological data analysis, we have previously shown that mean arterial pressure (MAP) during SCI surgery predicts long-term functional recovery in rodent models, motivating the present multicenter study in patients.

Methods

Intra-operative monitoring records and neurological outcome data were extracted (n = 118 patients). We built a similarity network of patients from a low-dimensional space embedded using a non-linear algorithm, Isomap, and ensured topological extraction using persistent homology metrics. Confirmatory analysis was conducted through regression methods.

Results

Network analysis suggested that time outside of an optimum MAP range (hypotension or hypertension

SUBMITTER: Torres-Espin A 

PROVIDER: S-EPMC8639149 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature