Abstract
Objectives
The aim of this study is to investigate the status of laboratory practice of organic acid (OA) analysis using gas chromatography–mass spectrometry in China.
Methods
A survey, investigating details of laboratory practice of OA analysis, was issued on the website of the National Center for Clinical Laboratories of China. Nationwide external quality assessment participating laboratories of OA assay were informed to participate in this survey.
Results
A total of 36 laboratories completed this survey. Most laboratories started OA analysis during 2016–2020. Most (100%) labs reported semi-quantitative results, in which 79.4% of labs adopted the form of the ratio of peak area of OA and quantitative internal standard. Rare labs reported quantitative results. Few labs released reports in three days, most in 5–7 days. The source of control materials varied, 64.5% of labs adapted self-made materials. A total of 43.8% of laboratories directly used reference intervals (RIs) from published literature, 43.8% of laboratories established RIs themselves, but 21.2% of laboratories reported they didn’t verify RIs.
Conclusions
Appropriate supervision for the organic acid assay is needed in the aspect of the turnaround time of reporting results, the establishment validation and verification of reference ranges, and the quantification of results.
Introduction
Inherited metabolic disorders (IMDs) are a considerable group of genetic disorders with a collective incidence of 1:2000 [1]. On-set IMDs patients usually experience acute acidosis, metabolic decomposition, neurological syndromes, unknown death, and irreversible disability [2]. Due to the non-specific and heterogeneous clinical manifestations in IMDs patients [2], the screening, diagnosis, and patient monitoring management of IMDs extremely rely on laboratory tests. Organic acid (OA) analysis based on gas chromatography–mass spectrometry (GC-MS) is such a crucial first-tier laboratory test for the broad scopes of IMDs, which detects multiple accumulative metabolic products of IMDs in urine and other body fluids [3].
This assay was introduced by some newborn screening laboratories, biogenetic laboratories, and pediatric laboratories in China in recent 20 years. Fifteen years ago, OA analysis was hardly seen in China, and samples were sent out to test [4]. Recently, China has released its clinical guidelines for the diagnosis and treatment of IMDs, in which many disorders are involved with the clinical use of OA analysis detected by GC/MS.
OA analysis is a highly specialized, regulated, non-waived laboratory-developed test (LDT) meeting Clinical Laboratory Improvements Amendments (CLIA) standard. According to CLIA requirements, OA analysis using GC-MS should be regulated in the aspects of external quality assessment (EQA)/proficiency test (PT), facility administration, quality system for the entire analytical phase, and qualified personnel performing GC-MS analysis. In 2018, the American College of Medical Genetics and Genomics (ACMG) has issued a technical standard for this assay [5], while China has not defined its guidelines. The laboratory practice of this assay in China remains unclear. In Authors’ center, EQA results in 2019–2020 reported that the performance of OA analysis in 54 participating laboratories was unsatisfying: although grouped by measurement systems and methods, robust coefficient of variations (RCV) of most OAs were high to 40%, even up to 90%.
It is reported the practice of OA varied in different laboratories [3]. Due to the significance of the OA assay for the screening and diagnosis of IMDs, it is necessary to get a knowledge of laboratory practice in this test in China. To comprehensively understanding the current laboratory practice of OA analysis in China, we issued a survey on the official website of the National Center For Clinical Laboratories of China (cNCCL) and invited all EQA participating laboratories to join in.
Materials and methods
The questionnaire was preliminary designed based on related literature, guidelines, and standards [3], [4], [5], [6], [7], [8]. Then the questionnaire was cross-reviewed by three external reviewers independently, two of whom were practiced technicians in OA analysis and one was an experienced pediatrician. After triple revisions, the survey was issued in October 2020. The notice of survey was issued on our website (available: https://www.nccl.org.cn/mainEn) and sent to 54 OA assay EQA participating labs, and participants could fill out the questionnaire voluntarily, then emailed their completed questionnaires to our laboratory.
A full copy of our survey is presented in the Supplementary Material. The questionnaire covered the aspects of clinical utility, the entire analytical process, and quality assurance. The type of question involves single-choice, multiple-choice, and blanks for different answers. Incomplete questionnaires would be excluded for analysis. Crucial questions and answers about the entire analytical process and quality assurance were extracted for analysis. A Chi-squared test (χ 2) was performed to see whether the difference between public hospitals and private institutes has significance. IBM SPSS Statistics 25.0 and Microsoft Excel 2016 are used for data analysis.
Results
General information
The summary of responses to questionnaires is presented in Tables 1 –4. A total of 36 laboratories participated in this survey. Participating labs were newborn screening laboratories, biochemistry genetic laboratories, and general clinical laboratories. Two questionnaires were excluded for their incompleteness. Table 1 shows nineteen (55.9%) institutions were affiliated to the public, 15 institutions (44.1%) were independent laboratories. Most laboratories started OA analysis in the recent 2016–2020. Fourteen laboratories (41.2%) had orders for OA analysis less than 500 in one year, and 11 (32.4%) laboratories had orders over 2000. There’s no significant difference in workload between public hospitals and private institutes (χ 2=5.28, p=0.15).
General information on institution and personnel.
Questions | |
---|---|
Q1. Information on the and geographical position of institution, work department, professional title, position, email and phone number | |
Q2. The ownership of your institution: | |
Options (single choice) | The number of respondents |
A. Public (continue to question 3) | 19 |
B. Private (skip to question 5) | 15 |
Q3. The grade of your institution: | |
Options (single choice) | The number of respondents |
A. Class III-A | 18 |
B. Class III-B | 0 |
C. Class II-A | 0 |
D. Class II-B | 1 |
E. Hospitals below class II | 0 |
F. Others, please add: | 0 |
Q4. The type of your institution: | |
Options (single choice) | The number of respondents |
A. General hospital | 3 |
B. Pediatric hospital | 5 |
C. Maternal and child health hospital | 11 |
D. Others, please add: | 0 |
Q5. The type of your institution: | |
Options (single choice) | The number of respondents |
A. Private hospital | 0 |
B. Independent laboratory | 15 |
C. Others, please specify: | 0 |
Q6. The department of your laboratory: | |
Options (single choice) | The number of respondents |
A. Pediatric | 1 |
B. Clinical laboratory | 20 |
C. Biochemistry genetics laboratory | 5 |
D. New screening center | 7 |
E. Medical genetics center | 1 |
F. Others, please specify: | 0 |
Q7. How many staffs does your lab have? | |
Options (single choice) | The number of respondents |
A. <10 | 8 |
B. 10–29 | 17 |
C. 30–49 | 2 |
D. 50–100 | 4 |
E. >100 | 3 |
Q8. When did your lab start organic acids analysis? | |
Options (single choice) | The number of respondents |
A. Not initiated, but plans to in the future (if so, the survey is over) | 2 |
C. Before December 2005 | 1 |
D. 2006–2010 | 1 |
E. 2011–2015 | 10 |
F. 2016–2020 | 20 |
Q9. Workload: How many orders did your lab receive for organic acids analysis in one year? | |
Options (single choice) | The number of respondents |
A. Below 500 | 14 |
B. 500–1,000 | 4 |
C. 1,000–2000 | 5 |
D. Above 2000 | 11 |
Total analytical process of organic acids analysis.
Questions | |||||||||
---|---|---|---|---|---|---|---|---|---|
Q1. Did your lab have a standard operation procedure for organic acids analysis? | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. Yes | 33 | ||||||||
B. No | 1 | ||||||||
Q2. Sample types for organic acids analysis | |||||||||
Options (multiple choice) | The number of respondents | ||||||||
A. Urine | 26 | ||||||||
B. Urine filter paper | 27 | ||||||||
C. Whole blood | 0 | ||||||||
D. Dried blood spots | 0 | ||||||||
E. Amniotic fluid | 0 | ||||||||
F. Cord blood | 0 | ||||||||
G. Others | 0 | ||||||||
H. Inconclusive | 0 | ||||||||
Q3. Whether samples were send-out to test? | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. No, they aren’t | 27 | ||||||||
B. Part of samples are sent out to test | 5 | ||||||||
C. Samples are all sent out | 2 | ||||||||
Q4. Conditions of sample transportation of organic acids analysis | |||||||||
Options (multiple choice) | The number of respondents | ||||||||
A. Shipping with dry ice | 7 | ||||||||
B. Shipping at room temperature | 17 | ||||||||
C. Others | 10 | ||||||||
D. Inconclusive | 0 | ||||||||
Q5. Turnaround time from sample collection to sample received by the lab | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. ≤3 days | 24 | ||||||||
B. 3–7 days | 8 | ||||||||
C. 7–14 days | 2 | ||||||||
D. ≥14 days | 0 | ||||||||
Q6. Types of sample pre-treatment/preparation for organic acids analysis | |||||||||
Options (multiple choice) | The number of respondents | ||||||||
A. Urease pretreatment method | 8 | ||||||||
B. Organic reagents extraction method | 8 | ||||||||
C. Solid phase extraction method | 0 | ||||||||
D. Urease pretreatment-organic regents extraction- method | 19 | ||||||||
E. Others | 0 | ||||||||
F. Inconclusive | 0 | ||||||||
Q7. Do you think that different sample preparation methods of organic acids analysis can have impacts on the diagnosis and identification of organic acidemias | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. Yes, it does have impacts | 23 | ||||||||
B. No, it doesn’t have any impacts | 0 | ||||||||
C. Cannot judge | 11 | ||||||||
Q8. Types of results for organic acids analysis your lab provided | |||||||||
Options (multiple choice) | The number of respondents | ||||||||
A. Absolute quantification | 3 | ||||||||
B. Semi-quantification | 34 | ||||||||
C. Qualitative | 3 | ||||||||
D. Others | 0 | ||||||||
E. Inconclusive | 0 | ||||||||
Q9. If results for organic acids analysis is semi-quantification in your lab, what’s the manner of semi-quantification? | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. The ratio of peak area of organic acids and quantitative internal standard | 27 | ||||||||
B. The ratio of peak area of organic acids and creatinine | 7 | ||||||||
C. Others | 0 | ||||||||
D. Inconclusive | 0 | ||||||||
Q10. Is it necessary to get the absolute quantitative results for organic acids analysis? | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. Unclear | 8 | ||||||||
B. No, it isn’t. | 12 | ||||||||
C. Yes, it is. | 13 | ||||||||
D. Inconclusive | 1 | ||||||||
Q11. Way to define the abnormal results of organic acids in your lab | |||||||||
Options (multiple choice) | The number of respondents | ||||||||
A. The quantitative result is out of reference interval or beyond cut off value | 6 | ||||||||
B. The semi-quantitative result is out of reference interval or beyond the cut off value | 29 | ||||||||
C. Positive qualitative result (e.g., −, +, ++) | 1 | ||||||||
D. Others | 0 | ||||||||
E. Inconclusive | 0 | ||||||||
Q12. Turnaround time from samples accepted to the time lab released the reports of organic acids analysis | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. ≤1 day | 1 | ||||||||
B. 1–3 days | 7 | ||||||||
C. 3–5 days | 10 | ||||||||
D. 5–7 days | 14 | ||||||||
E. ≥7 days | 2 | ||||||||
Q13. Did your lab provide interpretative commenting or suggestions to patients or clinicians for organic acids analysis results? | |||||||||
Options (single choice) | The number of respondents | ||||||||
A. Yes, we do | 34 | ||||||||
B. No, we don’t | 0 | ||||||||
Q14. Which factors may have an impact on the accuracy of organic acids analysis (detected by GC-MS) results in your view? (Scoring system: Score according to the degree of “objection” to “strongly agree”, 0–7 points, 0 points means disapproval, 7 points means strong agreement) | |||||||||
Options (single choice) | Scores | ||||||||
# | Factors | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
The number of respondents | |||||||||
1 | Diet status of subjects | 0 | 2 | 2 | 5 | 4 | 7 | 4 | 10 |
2 | Exercise status of subjects | 1 | 5 | 1 | 10 | 4 | 3 | 3 | 3 |
3 | Medicines taking | 0 | 0 | 0 | 2 | 3 | 4 | 4 | 21 |
4 | Metabolic decompensation or other pathological status of subjects | 0 | 0 | 0 | 0 | 2 | 2 | 7 | 23 |
5 | Bacterial contamination | 0 | 1 | 2 | 3 | 4 | 9 | 6 | 7 |
6 | The stability of reagents | 0 | 0 | 1 | 1 | 1 | 3 | 6 | 20 |
7 | Urine samples are contained by plastic products | 4 | 4 | 3 | 2 | 7 | 1 | 6 | 6 |
8 | The conditions of sample transportation and storage | 0 | 1 | 0 | 2 | 3 | 4 | 5 | 19 |
9 | Sample preparation methods | 0 | 0 | 0 | 2 | 0 | 2 | 6 | 23 |
10 | The lack of isotope internal standards and calibrators | 0 | 0 | 0 | 1 | 1 | 4 | 4 | 23 |
11 | Errors caused by the addition of internal standards | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 23 |
12 | Parameters setting of GC-MS instrument | 0 | 0 | 1 | 2 | 0 | 2 | 5 | 21 |
13 | Sufficient maintenance for GC-MS | 0 | 0 | 1 | 3 | 2 | 2 | 4 | 21 |
14 | Technicians with inadequate qualifications | 0 | 0 | 0 | 3 | 0 | 2 | 8 | 20 |
Quality assurances for organic acids analysis.
Questions | |
---|---|
Q1. Have your lab ever participated in EQA scheme for organic acids analysis? | |
Options (multiple choice) | The number of respondents |
A. Yes, we have participated in EQA schemes organized by national center for clinical laboratory | 33 |
B. Yes, we have participated in EQA schemes organized by overseas institutions | 5 |
C. No, we haven’t | 1 |
D. Inconclusive | 0 |
Q2. EQA schemes for organic acids analysis your lab have ever participated in | |
Options (multiple choice) | The number of respondents |
A. National center for clinical laboratory in China: Neonatal screening by GC-MS for urine organic acid analysis | 33 |
B. ERNDIM: Quantitative organic acids in urine | 1 |
C. ERNDIM: Qualitative organic acids in urine | 3 |
D. CAP: Organic acids: Qualitative and quantitative | 2 |
E. EQA schemes for organic acid analysis organized by other institutions | 1 |
F. Inconclusive | 0 |
Q3. Did your lab use the quality control materials for organic acids analysis? | |
Options (single choice) | The number of respondents |
A. Yes, we did | 31 |
B. No, we didn’t | 3 |
Q4. Source of quality control materials used for organic acids analysis in your lab | |
Options (multiple choice) | The number of respondents |
A. Self-made | 20 |
B. Commercial kit | 5 |
C. Quality control materials made from ERNDIM | 0 |
D. EQA samples from national center for clinical laboratory in China | 9 |
E. Others | 2 |
F. Inconclusive | 0 |
Reference intervals/values for organic acids analysis.
Questions | |
---|---|
Q1. Did your lab establish the reference intervals/values for urine organic acids? | |
Options (single choice) | The number of respondents |
A. Yes, we did | 32 |
B. No, we didn’t | 0 |
C. Inconclusive | 2 |
Q2. Ways to establish the reference intervals/values for urine organic acids in your lab | |
Options (multiple choice) | The number of respondents |
A. Use reference intervals/values from related published literatures | 14 |
B. Use self-established reference intervals/values | 14 |
C. Others | 3 |
D. Inconclusive | 2 |
Q3. Whether the reference intervals/values of organic acids have been validated? | |
Options (single choice) | The number of respondents |
A. Yes, it has | 28 |
B. No, it haven’t | 4 |
C. Inconclusive | 2 |
Q4. Have your lab verified the reference intervals/values of organic acids your lab used | |
Options (multiple choice) | The number of respondents |
A. Unclear | 1 |
B. No, we haven’t | 7 |
C. Yes, we have verified reference intervals/values according to false positive and negative rates of the established methods | 15 |
D. Yes, we have verified reference intervals/values by confirmation tests (e.g., gene analysis, enzyme activity analysis), or clinicians experience | 12 |
E. Yes, other verification methods | 0 |
F. Inconclusive | 0 |
Total analytical process of organic acids analysis
Table 2 shows nearly all participants (97.1%, 33/34) had their standard operation procedures (SOPs) for OA analysis. Urine and urine filter paper were the only two sample types, while no labs adapted whole blood, dried blood spots, amniotic fluid, and cord blood as analytical samples. Most (79.4%) laboratories didn’t send samples out to test. Conditions of sample transportation varied in different laboratories. Seventy percent of labs received samples within 3 days after sample collection. The difference of turnaround time (from sample collection to sample received by labs) between public hospitals and private institutes had statistical significance (χ 2=12.59, p<0.01).
Urease pretreatment combined organic solvent extraction method was the main sample preparation method used by 55.9% (19/34) of labs. Eight labs adapted the urease pretreatment method, and eight labs only used the organic solvent extraction method, while no labs used the solid phase extraction method. For sample preparation methods, there’s no significant difference was observed between public hospitals and private institutes (χ 2=4.25, p=0.12). Most (67.6%) laboratories think that different sample preparation methods can have impacts on the diagnosis and identification of organic acidemias, while 32.4% of participants cannot judge.
As for quantification, 34 laboratories (100%) adapted the semi-quantitative method, three labs (8.8%) used the absolute quantification method. Twenty-seven labs (79.4%) adapted the ratio of peak area of OA and quantitative IS as the semi-quantitative result, seven labs (20.6%) used the ratio of peak area of OA and urine creatinine. And 38.2% of labs thought it is necessary to get the absolute quantitative results for organic acids analysis, while 35.3% did not. For TAT from samples received to reports release, 23.5% of labs released reports in three days, 29.4% of labs in 3–5 days, 41.2% of labs in 5–7 days, 5.9% over 7 days. And this TAT between public hospitals and private institutes wasn’t significantly different (χ 2=7.62, p=0.11). All laboratories declared that they had offered interpretative commenting/suggestions for OA analysis results.
More than 20 respondents voted that medicine taken, metabolic decompensation or other pathological states, the stability of reagents, types of sample preparation method, the lack of isotope-labeled internal standards and calibrators, errors caused by the addition of ISs, GC-MS analysis parameters, the lack of maintenance of GC-MS instruments, technicians with inadequate qualifications could vigorously influence the results of OA analysis. According to weighted average scores, the top three of the most influential factors were metabolic decompensation or other pathological status (scores of 6.50), types of sample preparation method (scores of 6.45), and errors caused by the addition of internal standards (scores of 6.44).
Quality assurance for organic acids analysis
Table 3 shows quality assurance for organic acids analysis. For OA analysis, 97% of labs had participated in EQA programs, 33 laboratories had participated in EQA organized by cNCCL, three labs had participated in EQA of ERNDIM, and two labs had participated in EQA of CAP (College of American Pathologic).
There were 91.2% (31/34) of laboratories using internal quality control (IQC) materials. But the source of these materials was different, 64.5% of labs adapted self-made materials, 29.0% of labs used EQA samples from NCCL of China, and 16.1% of labs used commercial kits.
Reference intervals for organic acids analysis
Table 4 shows reference intervals (RIs) for organic acids analysis. Ninety-seven percent of laboratories had established RIs for OA. 43.8% (14/32) of laboratories used the RIs from published literature, 9.4% (3/32) of laboratories adapted RIs from hospitals and commercial clinical laboratories, and 43.8% (14/32) of laboratories had established RIs themselves. The difference between public hospitals and private institutes in approaches to establishing RIs has no significance (χ 2=1.59, p=0.45). Eighty-eight percent (28/32) of laboratories declared they had validated RIs they used or established. And 81.8% (27/33) of laboratories had verified RIs, in which 45.5% according to false positive and negative rates of established methods, 36.4% by confirmation tests (gene analysis, enzyme analysis) and clinicians’ experience. While 21.2% (7/33) of laboratories reported they hadn’t verified RIs used in their laboratories.
Discussion
Although most laboratory practice in OA analysis was consistent in Chinese laboratories, our survey has identified laboratories were going their own ways in the establishment and verification of RIs, TAT for reporting results, and the quantification of results. Though this assay has introduced for over 20 years, it was in the recent five years that it has been commonly seen in China. It seems not very optimistic for the TAT for the reports releasing. When comes to acute patients, reports released three days later may be disappointing. The practice in some laboratories that RIs in literature were directly used instead of self-established and lacking sufficient validation and verification is of great concern, too. RIs are of great significance for clinicians [9]. A technical standard for OA assay issued by ACMG has recommended that RIs should be established and periodically validated [5]. And the establishment of RIs of OA should be stratified according to ages and sex [10]. Sometimes, it is difficult to validate the RIs, because data used to verify may involve long-term follow-up, which is not always assessable for most laboratories. Cross-verification using results of gene analysis or enzyme assay, or other laboratories may be an effective way to verify.
Besides, it is controversial whether there’s necessary to get the absolute quantitative results for organic acids analysis. 24.2% of respondents showed unclear attitudes towards this issue, 39.4% of respondents insisted that absolutely quantitative results were beneficial for clinicians and better quality management. But 36.4% of respondents agreed it is unnecessary to realize absolute quantification results, some of them thought that it is hard to realize absolute quantification because some standard materials were unavailable, semi-quantitative results could already show the abnormal level, and the level in patients would easily exceed the upper limit of quantification. However, qualitative or semi-quantitative results may be importable between laboratories, making additional costs. And due to the inconsistency of manual addition of quantitative internal standards, semi-quantitative results make it difficult to achieve the consistency within laboratory or interlaboratory, causing poor accuracy of results. Additionally, it can be hard for clinicians to monitor the therapy effect based on semi-quantification results. Though absolute quantitative results are recommended, it is challenging to achieve absolute quantification for some OAs because of the unavailable of isotope-labeled ISs and pure standard materials.
It is worth noting that the interpretation of OA analysis results could be extremely difficult under some interferences [11]. The previous study had comprehensively concluded nutritional, exogenous, iatrogenic, and artificial sources of OA [11]. Effects on results of OA analysis caused by medicines, e.g., valproate, bacterial contamination were also clear [11, 12]. Thus, it was suggested that more information on diet, medicines, pathological status, and the conditions of sample storage and transportation should be provided for clinical laboratory technicians to make more accurate interpretative comments and advice for clinicians.
The survey has its disadvantages. The questionnaire didn’t cover experimental details of sample preparation and GC-MS parameters, in which manual processes were often poorly controlled and not standardized, so methodological differences cannot be identified.
To evaluate and monitor the analytical performance of laboratories implementing this technique-demand test, EQA schemes are warranted [13, 14]. However, simple-designed EQA programs for OA analysis cannot ensure the comparability of results among different laboratories. The harmonization and standardization of OA analysis will make results more accurate and comparable in different clinical settings [15], making contributions for the management of IMDs patients, and the share of RIs among different laboratories. However, the establishment of traceability for OA analysis is challenging due to the lack of calibrators, certified reference materials, isotope internal standards, and reference measurement procedures for most OAs. Clinical laboratories and manufacturers should understand the limitation of OA assay and make efforts for the harmonization and standardization of it.
Conclusions
Considerations in the establishment validation and verification of reference ranges, turnaround time of reporting results, and the quantification of results are especially prominent. Appropriate supervision and efforts for the harmonization and standardization of organic acids analysis are needed.
Funding source: The National Key Research and Development Program of China 2018YFC1002204
Award Identifier / Grant number: BJ-2018-215
Acknowledgments
We appreciate all respondents for actively participating in this survey. We’re grateful for reviewers, YL Yang, JT Yang and Xi Zhang for reviewing the questionnaire carefully and patiently.
-
Research funding: The research has been funded by the National Key Research and Development Program of China 2018YFC1002204 and BJ-2018-215.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
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Ethical approval: The local Institutional Review Board deemed the study exempt from review.
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Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/labmed-2021-0086).
© 2021 Lizi Jin et al., published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Requirements for electronic laboratory reports according to the German guideline Rili-BAEK and ISO 15189
- Clinical performance and potential of a SARS-CoV-2 detection kit without RNA purification steps
- Simultaneous identification of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, and Trichomonas vaginalis ‒ multicenter evaluation of the Alinity m STI assay
- Pre-albumin is a strong prognostic marker in elderly intensive care unit patients
- Laboratory practice of organic acid analysis based on gas chromatography–mass spectrometry in China
- Short Communication
- Automation in small labs
- Letter to the Editor
- A trend for decrease of influenza infections in children during the first wave of COVID-19 observed in a Chinese hospital
Articles in the same Issue
- Frontmatter
- Mini Review
- Why hemolysis detection should be an integral part of any near-patient blood gas analysis
- Original Articles
- Requirements for electronic laboratory reports according to the German guideline Rili-BAEK and ISO 15189
- Clinical performance and potential of a SARS-CoV-2 detection kit without RNA purification steps
- Simultaneous identification of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, and Trichomonas vaginalis ‒ multicenter evaluation of the Alinity m STI assay
- Pre-albumin is a strong prognostic marker in elderly intensive care unit patients
- Laboratory practice of organic acid analysis based on gas chromatography–mass spectrometry in China
- Short Communication
- Automation in small labs
- Letter to the Editor
- A trend for decrease of influenza infections in children during the first wave of COVID-19 observed in a Chinese hospital