CovidDataNet.NRW - BigData and artificial intelligence to improve the therapy of COVID-19

CovidDataNet.NRW - BigData and artificial intelligence to improve the therapy of COVID-19 - CovidDataNet.NRW

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00026184

Enrollment

100

Registered

2021-09-08

Start date

2021-09-15

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid-19 Long Covid

Interventions

Group 1: Collection of biomaterial (blood, urine, nasal/pharyngeal swab) on day1 (36 h after admission to the ICU of the recruiting center), day 4, day 8, and day 14. electronic medical data over the

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Evidence of a SARS-CoV-2 infection together with evidence of a severe course (evidence of any of the following symptoms). - Shortness of breath, respiratory rate ' =30 breaths/min - Oxygen saturation = 93% at rest. - Fulfillment of current definitional criteria for "sepsis" or "septic shock"

Exclusion criteria

Exclusion criteria: Negative for infection with SARS-CoV-2. Age < 18 years Previous participation in this study (re-enrollment). Failure to provide informed consent

Design outcomes

Primary

Measure	Time frame
Prediction of 30-day survival, long Covid Clustering in subgroups of COVID-19	—

Secondary

Measure	Time frame
-correlation of subgroups to therapeutical success - molecular data	—

Countries

Germany

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 7, 2026