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Early Prediction of Sepsis

NCT04570618 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 320

Last updated 2021-11-03

No results posted yet for this study

Summary

In this clinical trial a novel Medical Device Software will be validated prospectively. The software incorporates a machine learning algorithm capable of predicting sepsis by using routine clinical variables in adult patients at Intensive Care Units.

Conditions

Interventions

DEVICE

Unblinded AlgoDx Sepsis Prediction Algorithm

When applicable, a sepsis prediction alert is displayed in the AlgoDx Medical Device Software.

OTHER

Blinded AlgoDx Sepsis Prediction Algorithm

Standard of Care, i.e. no sepsis prediction alert.

Sponsors & Collaborators

  • AlgoDx

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-12-01
Primary Completion
2021-11-01
Completion
2021-11-01

Countries

  • Sweden

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04570618 on ClinicalTrials.gov