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Clinical trialNCT03235193CompletedInterventional

Predictive algoRithm for EValuation and Intervention in SEpsis

SponsorDascenaEnrollment2,296SepsisSeptic ShockSevere Sepsis
View the registry record on ClinicalTrials.gov

Summary

The lay summary the sponsor registered on ClinicalTrials.gov.

In this prospective study, the ability of a machine learning algorithm to predict sepsis and influence clinical outcomes, will be investigated at Cabell Huntington Hospital (CHH).

Investigators

The overall officials registered on this study. Names that resolve to a FindMyKOL profile link to it; the rest are shown as registered.

A profile link is shown only when the registered name resolves to a person record with a confident, namesake-checked match; ambiguous names stay unlinked.

Sites

1 registered facility, with the per-site recruitment status where the registry publishes one. ClinicalTrials.gov does not publish per-site enrollment counts.

United States
  • Cabell Huntington Hospital

    Huntington, West Virginia, United States

Site investigator names are published by ClinicalTrials.gov only while a study recruits, so completed studies list sites without them.

Drugs studied

No drug or biological interventions are in our data for this study. It may test a procedure, device or behavioral intervention, or the intervention list isn't in our current snapshot. See the registry record ↗. Why? →

Registration & key dates

Registry attributes as recorded on the ClinicalTrials.gov study record.

Start
1 Jul 2017
Primary completion
30 Aug 2017
Completion
30 Aug 2017
Last update posted
21 Sept 2021
Registered enrollment
2,296
Registry id
NCT03235193

Source: ClinicalTrials.gov, via the CTTI AACT database, data as of 4 Nov 2026. Registry facts are shown as registered by the study sponsor; FindMyKOL does not interpret them.