As of

Number of filled aliquot tubes

Serum

  Fieldname: basis_numaliquotserumcount
  Note in CRF: Number of filled serum tubes [300µl]
  Datatype: Integer with 2 decimal places

EDTA plasma

  Fieldname: basis_numaliquotedtacount
  Note in CRF: Number of filled EDTA tubes [300µl]
  Datatype: Integer with 2 decimal places

Citrate plasma

  Fieldname: basis_numaliquotcitratcount
  Note in CRF: Number of filled Citrate tubes [300µl]
  Datatype: Integer with 2 decimal places

Urine

  Fieldname: basis_numaliquoturincount
  Note in CRF: Number of filled Urin tubes [300µl]
  Datatype: Integer with 2 decimal places

Buffy coat

  Fieldname: basis_numaliquotzellcount
  Note in CRF: Number of filled Buffy Coat tubes [< 300µl]
  Datatype: Integer with 2 decimal places
 Figure: Number of records by aliquots of sort of material

Blood and Urine collection

Blood collection

  Fieldname: basis_source
  Note in CRF: Blood collected
  Datatype: String with following options
    venous
    arterial
    unknown
    not assessed
  Figure: Number of records by blood collection

Position during blood collection

  Fieldname: basis_position
  Note in CRF: Position during blood collection
  Datatype: String with following options
    sitting
    lying
    unkown
    not assessed
  Figure: Number of records by position during blood collection

Duration of position prior to blood collection

  Fieldname: basis_durationpositionnum
  Note in CRF: How long was the patient/subject in this position prior to blood collection? in min
  Datatype: Integer with 2 decimal places and maximum at 60 minutes
  Fieldname: basis_durationposition
  Datatype: checkbox with Yes and No

Time interval since last food intake

  Fieldname: basis_nahrabstand
  Note in CRF: Time interval since last food intake
  Datatype: String with following options
    < 8 h
    ≥ 8 h
    unkown
    not assessed
  Figure: Number of records by Time interval since last food intake
  Fieldname: basis_abstand
  Note in CRF: Total number of hours, if known
  Datatype: Integer with 2 decimal places

Parenteral nutrition

  Fieldname: basis_parental
  Note in CRF: Parenteral nutrition
  Datatype: String with following options
    yes
    no
    unknown
    not assessed
  Figure: Number of records by parenteral nutrition

Menstruating at time of urine collection

  Fieldname: basis_menstruation
  Note in CRF: For women: Menstruating at time of urine collection
  Datatype: String with following options
    yes
    no
    unknown
    not assessed
  Figure: Number of records by menstruating at time of urine collection

Processsteps

Time of blood collection

  Fieldname: basis_dtsampletaking
  Note in CRF: Time of blood collection
  Datatype: Timestamp with year, month, day, hour and minute

Time of urine collection

  Fieldname: basis_dturintaking
  Note in CRF: Time of urine collection(clinic)
  Datatype: Timestamp with year, month, day, hour and minute

Time of receipt at the laboratory

  Fieldname: basis_labarrivaldatetime
  Note in CRF: Time of receipt at the laboratory
  Datatype: Timestamp with year, month, day, hour and minute

Time of receipt at the laboratory (urine)

  Fieldname: basis_labarrivalurindate
  Note in CRF: Only if time of receipt of urine differs from blood, complete for urine:
  Datatype: Timestamp with year, month, day, hour and minute

End of centrifugation

  Fieldname: basis_endofcentrifugation
  Note in CRF: End of centrifugation; date, if different from time of receipt at the laboratory
  Datatype: Timestamp with hour and minute

End of centrifugation (urine)

  Fieldname: basis_endofcentriurin
  Note in CRF: If time of receipt of urine differs from blood, please complete for urine:
  Datatype: Timestamp with hour and minute

Time of freezing of all aliquots

  Fieldname: basis_freezingdate
  Note in CRF: Time of freezing of all aliquots at -80°C or lower (Serum, EDTA plasma, Citrate plasma, Urine, Buffy Coat)
  Datatye: Timestamp with year, month, day, hour and minute

Sample properties (blood)

Normal

  Fieldname: basis_stateordinary
  Note in CRF: Is the sample normal?
  Datatype: String with following options
    yes
    no
    unknown
    not assessed

Lipaemic

  Fieldname: basis_statelipaemic
  Note in CRF: Is the sample lipaemic
  Datatype: String with following options
    yes
    no
    unknown
    not assessed

Icteric

  Fieldname: basis_stateikteric
  Note in CRF: Is the sample icteric
  Datatype: String with following options
    yes
    no
    unknown
    not assessed

Haemolytic

  Fieldname: basis_statehaemolytic
  Note in CRF: Is the sample haemolytic
  Datatype: String with following options
    yes
    no
    unknown
    not assessed
  Figure: Number of records by blood aliquots of sample properties

Sample properties (urine)

Normal

  Fieldname: basis_stateurinordinary
  Note in CRF: Is the sample normal
  Datatype: String with following options
    yes
    no
    unknown
    not assessed

Cloudy

  Fieldname: basis_stateurinopaque
  Note in CRF: Is the sample cloudy
  Datatype: String with following options
    yes
    no
    unknown
    not assessed

Bloody

  Fieldname: basis_stateurinbloody
  Note in CRF: Is the sample bloody
  Datatype: String with following options
    yes
    no
    unknown
    not assessed
  Figure: Number of urine aliquots by sample properties

Commentaries

Commentaries (general)

  Fieldname: basis_pbscomment
  Datatype:  Free text

Commentaries (aliquots)

  Fieldname: basis_numfullaliquotzelpko
  Note in CRF: commentaries
  Datatype: Free text