ID

41490

Descrição

This version of the GECCO dataset is mainly based on https://art-decor.org/art-decor/decor-datasets--covid19f- on the "final" version published mid to end September 2020. A few items implicated by comments/descriptions of items on art-decor have been added: "Datum der letzten Impfung" (date of last vaccination for all listed vaccinations), "Schweregrad" (Severity of Kidney Diseases), "Ort" (Location of vacation in the last 14 days), "Befund bildgebender Verfahren im Rahmen von COVID-19" added separately for all types of imaging procedures listed, "Symptom Schweregrad" (Severity of Symptoms) for each symptom listed, and an "NCT-/EudraCT-Nummer" item for Study participation. Official German text from http://cocos.team/datasets.html: Zur Bewältigung der aktuellen Pandemie und der damit einhergehenden Behandlung von Patienten fördert das Bundesministerium für Bildung und Forschung (BMBF) ein nationales Netzwerk der Universitätsmedizin im Kampf gegen COVID-19. Unter anderem soll das Netzwerk die Daten der behandelten COVID-19 Patienten systematisch erfassen und bündeln. Die Forschenden sollen die Behandlung der COVID-19-Patienten standardisiert erheben, verfolgen und analysieren. Die hohe Bedrohungslage hat zu intensiver wissenschaftlicher Aktivität zu COVID-19 geführt, wozu zahlreiche regionale, nationale und internationale epidemiologische Erhebungen und Registerstudien zählen. Der Konsensusdatensatz gibt der Wissenschaft um COVID-19 eine gemeinsame Sprache und Arbeitsgrundlage. Inofficial translation: In order to cope with the current pandemic and the associated treatment of patients, the Federal Ministry of Education and Research (BMBF) is funding a national network of university medicine in the fight against COVID-19. Among other things, the network will systematically collect and bundle the data of the treated COVID-19 patients. The researchers are to collect, track and analyze the treatment of COVID-19 patients in a standardized way. The high threat level has led to intensive scientific activity on COVID-19, including numerous regional, national and international epidemiological surveys and register studies. The consensus data set provides a common language and working basis for the science around COVID-19. Additional source: https://simplifier.net/ForschungsnetzCovid-19/ResearchDatasetGECCO/~overview Not yet integrated: Items for "Data Absent Reason", "Certainty of Presence", "Uncertainty of Presence", and "Certainty of absence"; "therapeutic intention", "Medication Statement Status", "EventStatus"; longer versions of the ValueSets published separately from the variables in art-decor.

Link

https://art-decor.org/art-decor/decor-datasets--covid19f-

Palavras-chave

  1. 29/09/2020 29/09/2020 - Sarah Riepenhausen
  2. 29/09/2020 29/09/2020 - Sarah Riepenhausen
  3. 09/10/2020 09/10/2020 -
  4. 28/10/2020 28/10/2020 -
  5. 13/01/2021 13/01/2021 - Sarah Riepenhausen
  6. 03/02/2021 03/02/2021 - Sarah Riepenhausen
  7. 03/02/2021 03/02/2021 - Sarah Riepenhausen
  8. 25/08/2021 25/08/2021 - Sarah Riepenhausen
  9. 02/09/2021 02/09/2021 - Sarah Riepenhausen
  10. 06/09/2021 06/09/2021 - Sarah Riepenhausen
  11. 05/01/2023 05/01/2023 - Sarah Riepenhausen
Titular dos direitos

Nationales Forschungsnetzwerk der Universitätsmedizin zu Covid-19

Transferido a

28 de outubro de 2020

DOI

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Licença

Creative Commons BY 4.0

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GECCO - German Corona Consensus - Covid-19 Research-Dataset

Komplikationen

Komplikationen
Descrição

Komplikationen

Alias
UMLS CUI-1
C0009566
Komplikationen im Rahmen von COVID-19 Thrombembolische Ereignisse
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C0040038
SNOMED CT[1]
116223007
SNOMED CT[2]
439127006
SNOMED CT[3]
414086009
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Venöse Thrombose
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C0042487
ICD-10[1]
I82.9
SNOMED CT[1]
116223007
SNOMED CT[2]
111293003
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Lungenarterienembolie
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C0034065
ICD-10[1]
I26.9
SNOMED CT[1]
116223007
SNOMED CT[2]
59282003
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Stroke
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C0038454
ICD-10[1]
I64
SNOMED CT[1]
116223007
SNOMED CT[2]
230690007
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Myokardinfarkt
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C0027051
ICD-10[1]
I21.9
SNOMED CT[1]
116223007
SNOMED CT[2]
22298006
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Andere
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [1,3]
C0205394
SNOMED CT[1]
116223007
SNOMED CT[2]
<4391270069
SNOMED CT[3]
<414086009
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Pulmonale Co-Infektionen
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2,1]
C0275524
UMLS CUI [2,2]
C2709248
ICD-10[1]
J18.9
SNOMED CT[1]
116223007
SNOMED CT[2]
128601007
LOINC[1]
19817-6
Komplikationen im Rahmen von COVID-19 Blutstrominfektionen
Descrição

Kommentar: FHIR-Mapping: Condition Versionsdatum: 2020-04-08

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0009566
UMLS CUI [1,2]
C5203670
UMLS CUI [2]
C2316160
ICD-10[1]
A41.9
SNOMED CT[1]
116223007
SNOMED CT[2]
434156008
LOINC[1]
19817-6

Similar models

Komplikationen

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
Alias
Item Group
Komplikationen
C0009566 (UMLS CUI-1)
Komplikation: Thrombembolische Ereignisse
Item
Komplikationen im Rahmen von COVID-19 Thrombembolische Ereignisse
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0040038 (UMLS CUI [2])
116223007 (SNOMED CT[1])
439127006 (SNOMED CT[2])
414086009 (SNOMED CT[3])
19817-6 (LOINC[1])
Komplikation: Venöse Thrombose
Item
Komplikationen im Rahmen von COVID-19 Venöse Thrombose
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0042487 (UMLS CUI [2])
I82.9 (ICD-10[1])
116223007 (SNOMED CT[1])
111293003 (SNOMED CT[2])
19817-6 (LOINC[1])
Komplikation: Lungenarterienembolie
Item
Komplikationen im Rahmen von COVID-19 Lungenarterienembolie
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0034065 (UMLS CUI [2])
I26.9 (ICD-10[1])
116223007 (SNOMED CT[1])
59282003 (SNOMED CT[2])
19817-6 (LOINC[1])
Komplikation: Stroke
Item
Komplikationen im Rahmen von COVID-19 Stroke
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0038454 (UMLS CUI [2])
I64 (ICD-10[1])
116223007 (SNOMED CT[1])
230690007 (SNOMED CT[2])
19817-6 (LOINC[1])
Komplikation: Myokardinfarkt
Item
Komplikationen im Rahmen von COVID-19 Myokardinfarkt
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0027051 (UMLS CUI [2])
I21.9 (ICD-10[1])
116223007 (SNOMED CT[1])
22298006 (SNOMED CT[2])
19817-6 (LOINC[1])
Komplikation: Andere
Item
Komplikationen im Rahmen von COVID-19 Andere
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0205394 (UMLS CUI [1,3])
116223007 (SNOMED CT[1])
<4391270069 (SNOMED CT[2])
<414086009 (SNOMED CT[3])
19817-6 (LOINC[1])
Komplikation: Pulmonale Co-Infektionen
Item
Komplikationen im Rahmen von COVID-19 Pulmonale Co-Infektionen
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C0275524 (UMLS CUI [2,1])
C2709248 (UMLS CUI [2,2])
J18.9 (ICD-10[1])
116223007 (SNOMED CT[1])
128601007 (SNOMED CT[2])
19817-6 (LOINC[1])
Komplikation: Blutstrominfektionen
Item
Komplikationen im Rahmen von COVID-19 Blutstrominfektionen
boolean
C0009566 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
C2316160 (UMLS CUI [2])
A41.9 (ICD-10[1])
116223007 (SNOMED CT[1])
434156008 (SNOMED CT[2])
19817-6 (LOINC[1])

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