CH LAB-Report (R4)
1.0.0 - trial-use Switzerland flag

This page is part of the CH LAB-Report (R4) (v1.0.0: STU 1) based on FHIR (HL7® FHIR® Standard) R4. This is the current published version. For a full list of available versions, see the Directory of published versions

Profiles

Diagram of Resources

The dependencies between the resources are shown in this diagram: Resource Overview

General Profiles for CH LAB-Report

To provide a better overview, this profiles page is divided into General Profiles and Profiles for specific purposes. The implementation guide offers specific profiles for Panels for automated blood cell count and profiles handling Panels for renal insufficiency and eGFR (estimated Glomerulum Filtration Rate).

Profile for specific purposes, Panels (optional)

In the laboratory field, we often use panels for grouping laboratory analyses that belong together in terms of content, e.g. the group of analyses that quantify cardiovascular risks or that stand for a liver disease. It is the task of the individual medical laboratories to offer the user meaningful panels. Some laboratories also offer their customers the opportunity to create their own panels. All this results in a wide range of panels that serve different purposes and differ from laboratory to laboratory. The implementation guide contains a narrow selection of panels that can be optionally used by laboratories and that can cover common needs.

In FHIR, we have various options for displaying test panels in the laboratory area:
1. sliced component: we use the element component as an array in the Observation resource. The disadvantage is that component cannot be structured.
2. nested profiles: we can use the element hasMember to create test panels with any number of branches, which can be nested. The two profiles CH LAB-Report Observation Results Panel and CH LAB-Report Observation Results Single Test are provided for this purpose.

The profile for estimated GFR is a particular challenge. There are different ways to calculate this GFR based on age, gender, race, creatinine, creatinine combined with cystatin-C. The implementation guide contains 3 profiles for this:

  1. eGFR-MDRD Profile
  2. eGFR-CKD-EPI(ASR) 2009 Profile
  3. eGFR-CKD-EPI(ASR) 2021 Profile

An expert in nephrology says: "Well, the fact is that there is explicitly no standard in Switzerland. The professional association allows both formulas, for various reasons (history, custom, politics (“factor for blacks”)). Likewise the statement of both formulas is virtually identical, they are both equally meaningful. He recommends that we map both formulas and mention that it is decided per institution, which is used. However, the discussion in Switzerland, Europe and worldwide is probably heated and ongoing."

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  • CH LAB-Report Observation Results: Panel
    This profile constrains the ChLabObservationResultsLaboratory profile to represent only a panel / battery of laboratory test results for the HL7 Swiss project. The top-level observation contains only further observations-panels and observations-single-tests in the hasMember element. The observation-panels may carry a conclusion in the note element and/or a global interpretation by the producer of the study, in the interpretation element; value[x] and component elements are not allowed and have to be shown in the observation-single-test profile.
  • CH LAB-Report Observation Results: Single Test
    This profile constrains the ChLabObservationResultsLaboratory profile to represent single test results for the HL7 Swiss project. The profile enables only value[x] and component elements, hasMember elements are not allowed.

  • CH LAB-Report Observation Results: Blood Group
    Profile to report Blood Group and RhD data. In addition to the code element valuesets delivered from EU Laboratory we have added 3 supplement value sets: CH LAB-Report BloodGroup Antibody Screen Test Result, CH LAB-Report BloodGroup Antibody Result, CH LAB-Report BloodGroup Immunohematology Tests. These value sets have a candidate binding, i.e. they are candidates to substitute general value sets in some defined situations.

Panels for automated blood cell count

We have two possibilities to structure the data for an automated blood cell count. We can use a profile with contains each cell count in a component. Or we pack the results in a container profile with nested cell count profiles.

CBC in sliced component
CBC in nested profiles

Panels for renal insufficiency and eGFR (estimated Glomerulum Filtration Rate)

The estimated glomerular filtration rate (eGFR) is a critical measure used to assess kidney function. Several formulas and approaches have been developed to calculate eGFR, with variations based on available patient information.

eGFR_MDRD based on serum creatinine, age, gender, race
  • CH LAB-Report Observation Results: eGFR-MDRD Profile
    Renal function can be determined by laboratory measurement of serum creatinine, from which the estimated glomerular (eGFR_MDMR) filtration rate can be calculated. Further input parameters are age, race and gender.
    Note: The MDRD equation is hardly used any more and is replaced by the CKD-EPI equation.
eGFR_CKD_EPI 2009 based on serum creatinine, age, gender, race
eGFR_CKD_EPI 2021 based on serum creatinine, serum creatinine and cystatin-C, age, gender
  • CH LAB-Report Observation Results: eGFR-CKD-EPI(ASR) 2021 Profile
    Glomerular filtration rate (GFR) is considered the best overall index of kidney function; however measured GFR is not practical in the routine clinical setting. Estimated glomerular filtration rate (eGFR) is a suitable alternative and can be calculated for adults >= 18 years using an equation incorporating the patient's age, gender, and measured serum/plasma/blood creatinine only (eGFRcr) LOINC: 98979-8 or both serum/plasma/blood creatinine and serum/plasma cystatin C (eGFRcr-cys) LOINC: 98980-6. The serum/plasma/blood creatinine value is based on a measurement procedure that is traceable to the isotope dilution mass spectrometry (IDMS) reference measurement procedure for creatinine. The 2021 CKD-EPI equations used for eGFRcr and eGFRcr-cys do not have a race term as does the older estimating equations that they replace. https://www.nejm.org/doi/pdf/10.1056/NEJMoa2102953