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  1. Article ; Online: Prediction interval: A powerful statistical tool for monitoring patients and analytical systems.

    Coskun, Abdurrahman

    Biochemia medica

    2024  Volume 34, Issue 2, Page(s) 20101

    Abstract: Monitoring is indispensable for assessing disease prognosis and evaluating the effectiveness of treatment strategies, both of which rely on serial measurements of patients' data. It also plays a critical role in maintaining the stability of analytical ... ...

    Abstract Monitoring is indispensable for assessing disease prognosis and evaluating the effectiveness of treatment strategies, both of which rely on serial measurements of patients' data. It also plays a critical role in maintaining the stability of analytical systems, which is achieved through serial measurements of quality control samples. Accurate monitoring can be achieved through data collection, following a strict preanalytical and analytical protocol, and the application of a suitable statistical method. In a stable process, future observations can be predicted based on historical data collected during periods when the process was deemed reliable. This can be evaluated using the statistical prediction interval. Statistically, prediction interval gives an
    MeSH term(s) Humans ; Models, Statistical ; Monitoring, Physiologic/methods
    Language English
    Publishing date 2024-04-15
    Publishing country Croatia
    Document type Journal Article
    ZDB-ID 1208725-7
    ISSN 1846-7482 ; 1330-0962
    ISSN (online) 1846-7482
    ISSN 1330-0962
    DOI 10.11613/BM.2024.020101
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4273: Show issues Location:
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  2. Article ; Online: Bias in Laboratory Medicine: The Dark Side of the Moon.

    Coskun, Abdurrahman

    Annals of laboratory medicine

    2023  Volume 44, Issue 1, Page(s) 6–20

    Abstract: Physicians increasingly use laboratory-produced information for disease diagnosis, patient monitoring, treatment planning, and evaluations of treatment effectiveness. Bias is the systematic deviation of laboratory test results from the actual value, ... ...

    Abstract Physicians increasingly use laboratory-produced information for disease diagnosis, patient monitoring, treatment planning, and evaluations of treatment effectiveness. Bias is the systematic deviation of laboratory test results from the actual value, which can cause misdiagnosis or misestimation of disease prognosis and increase healthcare costs. Properly estimating and treating bias can help to reduce laboratory errors, improve patient safety, and considerably reduce healthcare costs. A bias that is statistically and medically significant should be eliminated or corrected. In this review, the theoretical aspects of bias based on metrological, statistical, laboratory, and biological variation principles are discussed. These principles are then applied to laboratory and diagnostic medicine for practical use from clinical perspectives.
    MeSH term(s) Humans ; Laboratories ; Physicians
    Language English
    Publishing date 2023-09-04
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 2677441-0
    ISSN 2234-3814 ; 2234-3814
    ISSN (online) 2234-3814
    ISSN 2234-3814
    DOI 10.3343/alm.2024.44.1.6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Six Sigma : Projects and Personal Experiences

    Coskun, Abdurrahman

    2011  

    Keywords Project management ; Quality Assurance (QA) & Total Quality Management (TQM)
    Size 1 electronic resource (196 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021045715
    ISBN 9789535150961 ; 9535150960
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Quality Management and Six Sigma

    Coskun, Abdurrahman

    2010  

    Keywords Production engineering ; Industrial quality control
    Size 1 electronic resource (286 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021048863
    ISBN 9789535159476 ; 953515947X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article ; Online: Bias, the unfinished symphony.

    Coşkun, Abdurrahman

    Biochemia medica

    2022  Volume 32, Issue 3, Page(s) 30402

    Abstract: In laboratory medicine, mathematical equations are frequently used to calculate various parameters including bias, imprecision, measurement uncertainty, sigma metric (SM), creatinine clearance, LDL-cholesterol concentration, ...

    Abstract In laboratory medicine, mathematical equations are frequently used to calculate various parameters including bias, imprecision, measurement uncertainty, sigma metric (SM), creatinine clearance, LDL-cholesterol concentration,
    MeSH term(s) Humans ; Quality Control ; Creatinine ; Bias ; Laboratories ; Cholesterol, LDL
    Chemical Substances Creatinine (AYI8EX34EU) ; Cholesterol, LDL
    Language English
    Publishing date 2022-10-01
    Publishing country Croatia
    Document type Journal Article
    ZDB-ID 1208725-7
    ISSN 1846-7482 ; 1330-0962
    ISSN (online) 1846-7482
    ISSN 1330-0962
    DOI 10.11613/BM.2022.030402
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4273: Show issues Location:
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  6. Article ; Online: The impact of physiological variations on personalized reference intervals and decision limits: an in-depth analysis.

    Coskun, Abdurrahman / Lippi, Giuseppe

    Clinical chemistry and laboratory medicine

    2024  

    Abstract: The interpretation of laboratory data is a comparative procedure. Physicians typically need reference values to compare patients' laboratory data for clinical decisions. Therefore, establishing reliable reference data is essential for accurate diagnosis ... ...

    Abstract The interpretation of laboratory data is a comparative procedure. Physicians typically need reference values to compare patients' laboratory data for clinical decisions. Therefore, establishing reliable reference data is essential for accurate diagnosis and patient monitoring. Human metabolism is a dynamic process. Various types of systematic and random fluctuations in the concentration/activity of biomolecules are observed in response to internal and external factors. In the human body, several biomolecules are under the influence of physiological rhythms and are therefore subject to ultradian, circadian and infradian fluctuations. In addition, most biomolecules are also characterized by random biological variations, which are referred to as biological fluctuations between subjects and within subjects/individuals. In routine practice, reference intervals based on population data are used, which by nature are not designed to capture physiological rhythms and random biological variations. To ensure safe and appropriate interpretation of patient laboratory data, reference intervals should be personalized and estimated using individual data in accordance with systematic and random variations. In this opinion paper, we outline (i) the main variations that contribute to the generation of personalized reference intervals (prRIs), (ii) the theoretical background of prRIs and (iii) propose new methods on how to harmonize prRIs with the systematic and random variations observed in metabolic activity, based on individuals' demography.
    Language English
    Publishing date 2024-03-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2024-0009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Personalized laboratory medicine in the digital health era: recent developments and future challenges.

    Coskun, Abdurrahman / Lippi, Giuseppe

    Clinical chemistry and laboratory medicine

    2023  Volume 62, Issue 3, Page(s) 402–409

    Abstract: Interpretation of laboratory data is a comparative procedure and requires reliable reference data, which are mostly derived from population data but used for individuals in conventional laboratory medicine. Using population data as a " ...

    Abstract Interpretation of laboratory data is a comparative procedure and requires reliable reference data, which are mostly derived from population data but used for individuals in conventional laboratory medicine. Using population data as a "
    MeSH term(s) Humans ; Digital Health ; Precision Medicine/methods ; Laboratories ; Chemistry, Clinical
    Language English
    Publishing date 2023-09-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2023-0808
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Physiological Rhythms and Biological Variation of Biomolecules: The Road to Personalized Laboratory Medicine.

    Coskun, Abdurrahman / Zarepour, Atefeh / Zarrabi, Ali

    International journal of molecular sciences

    2023  Volume 24, Issue 7

    Abstract: The concentration of biomolecules in living systems shows numerous systematic and random variations. Systematic variations can be classified based on the frequency of variations as ultradian ( ... 24 h), ...

    Abstract The concentration of biomolecules in living systems shows numerous systematic and random variations. Systematic variations can be classified based on the frequency of variations as ultradian (<24 h), circadian (approximately 24 h), and infradian (>24 h), which are partly predictable. Random biological variations are known as between-subject biological variations that are the variations among the set points of an analyte from different individuals and within-subject biological variation, which is the variation of the analyte around individuals' set points. The random biological variation cannot be predicted but can be estimated using appropriate measurement and statistical procedures. Physiological rhythms and random biological variation of the analytes could be considered the essential elements of predictive, preventive, and particularly personalized laboratory medicine. This systematic review aims to summarize research that have been done about the types of physiological rhythms, biological variations, and their effects on laboratory tests. We have searched the PubMed and Web of Science databases for biological variation and physiological rhythm articles in English without time restrictions with the terms "Biological variation, Within-subject biological variation, Between-subject biological variation, Physiological rhythms, Ultradian rhythms, Circadian rhythm, Infradian rhythms". It was concluded that, for effective management of predicting, preventing, and personalizing medicine, which is based on the safe and valid interpretation of patients' laboratory test results, both physiological rhythms and biological variation of the measurands should be considered simultaneously.
    MeSH term(s) Humans ; Circadian Rhythm/physiology ; Ultradian Rhythm
    Language English
    Publishing date 2023-03-27
    Publishing country Switzerland
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24076275
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: False negative results and tolerance limits of SARS-CoV-2 laboratory tests.

    Çubukçu, Hikmet Can / Coşkun, Abdurrahman

    Pathogens and global health

    2021  Volume 115, Issue 3, Page(s) 137–138

    MeSH term(s) COVID-19 ; Clinical Laboratory Techniques ; Humans ; Immunoassay ; Immunoglobulin G ; Immunoglobulin M ; Kinetics ; Luminescence ; SARS-CoV-2
    Chemical Substances Immunoglobulin G ; Immunoglobulin M
    Language English
    Publishing date 2021-01-28
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 2625162-0
    ISSN 2047-7732 ; 2047-7724
    ISSN (online) 2047-7732
    ISSN 2047-7724
    DOI 10.1080/20477724.2021.1881370
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Performance specifications for sodium should not be based on biological variation.

    Oosterhuis, Wytze P / Coskun, Abdurrahman / Sandberg, Sverre / Theodorsson, Elvar

    Clinica chimica acta; international journal of clinical chemistry

    2023  Volume 540, Page(s) 117221

    Abstract: When increasing the quality in clinical laboratories by decreasing measurement uncertainty, reliable methods are needed not only to quantify the performance of measuring systems, but also to set goals for the performance. Sigma metrics used in medical ... ...

    Abstract When increasing the quality in clinical laboratories by decreasing measurement uncertainty, reliable methods are needed not only to quantify the performance of measuring systems, but also to set goals for the performance. Sigma metrics used in medical laboratories for documenting and expressing levels of performance, are evidently totally dependent on the "total permissible error" used in the formulas. Although the conventional biological variation (BV) based model for calculation of the permissible (or allowable) total error is commonly used, it has been shown to be flawed. Alternative methods are proposed, mainly also based on the within-subject BV. Measurement uncertainty models might offer an alternative to total error models. Defining the limits for analytical quality still poses a challenge in both models. The aim of the present paper is to critically discuss current methods for establishing performance specifications by using the measurement of sodium concentrations in plasma or serum. Sodium can be measured with high accuracy but fails by far to meet conventional performance specifications based on BV. Since the use of sodium concentrations is well established for supporting clinical care, we question the concept that quality criteria for sodium and similar analytes that are under strict homeostatic control are best set by biology.
    MeSH term(s) Humans ; Quality Control ; Total Quality Management/methods ; Clinical Laboratory Services ; Uncertainty
    Language English
    Publishing date 2023-01-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 80228-1
    ISSN 1873-3492 ; 0009-8981
    ISSN (online) 1873-3492
    ISSN 0009-8981
    DOI 10.1016/j.cca.2023.117221
    Database MEDical Literature Analysis and Retrieval System OnLINE

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