Preventing Data Ambiguity in Infectious Diseases with Four-Dimensional and Personalized Evaluations.

ABSTRACT:

Background

Diagnostic errors can occur, in infectious diseases, when anti-microbial immune responses involve several temporal scales. When responses span from nanosecond to week and larger temporal scales, any pre-selected temporal scale is likely to miss some (faster or slower) responses. Hoping to prevent diagnostic errors, a pilot study was conducted to evaluate a four-dimensional (4D) method that captures the complexity and dynamics of infectious diseases.

Methods

Leukocyte-microbial-temporal data were explored in canine and human (bacterial and/or viral) infections, with: (i) a non-structured approach, which measures leukocytes or microbes in isolation; and (ii) a structured method that assesses numerous combinations of interacting variables. Four alternatives of the st

SUBMITTER: Iandiorio MJ 

PROVIDER: S-EPMC4943638 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature