Comparison of reference intervals derived by direct and indirect methods based on compatible datasets obtained in Turkey

Özarda, Yeşim; Ichihara, Kiyoshi; Jones, Graham; Streichert, Thomas; Ahmadian, Robab; Limits, Decision

doi:10.1016/j.cca.2021.05.030

Cited by 34 publications

(27 citation statements)

References 17 publications

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“…Unlike most previous researches that could not explicitly determine whether the distribution of normal group acquired by indirect techniques was close enough to the actual healthy population, the major strength of our study is the availability to use the RPINCE data as a gold standard. Similar approach was also found in a recent paper, which made successful comparison between direct and four indirect methods, including Hoffmann, Bhattacharya, Arzideh, and Wosniok [ 22 ]. Our study reported another two methods, GMM and SOM, which could jointly guide the application of indirect sampling techniques in real world research.…”

Section: Discussionmentioning

confidence: 56%

“…To assess the bias of RIs established by indirect sampling techniques from that established by direct technique, the ratio of between-method difference in reference limits to between-individual SD was calculated, where between-individual SD is 1/3.92 of RI width established by direct technique [ 22 ]. The conventional threshold of bias ratio is 0.25 (allowable) or 0.375 (minimal), which can be used to judge the performance of GMM and SOM.…”

Section: Methodsmentioning

confidence: 99%

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Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study

Yan

et al. 2022

BMC Med Res Methodol

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Background Our study aimed to compare the reference distributions of serum creatinine and urea obtained by direct sampling technique and two indirect sampling techniques including the Gaussian Mixture Model (GMM) and the Self-Organizing Map (SOM) clustering based on clinical laboratory records, so that the feasibility as well as the potential limitations of indirect sampling techniques could be clarified. Methods The direct sampling technique was used in the Pediatric Reference Interval in China (PRINCE) study, in which 15,150 healthy volunteers aged 0 to 19 years were recruited from 11 provinces across China from January 2017 to December 2018. The indirect sampling techniques were used in the Laboratory Information System (LIS) database of Beijing Children’s Hospital, in which 164,710 outpatients were included for partitioning of potential healthy individuals by GMM or SOM from January to December 2016. The reference distributions of creatinine and urea that were established by the PRINCE study and the LIS database were compared. Results The density curves of creatinine and urea based on the PRINCE data and the GMM and SOM partitioned LIS data showed a large overlap. However, deviations were found in reference intervals among the three populations. Conclusions Both GMM and SOM can identify potential healthy individuals from the LIS data. The performance of GMM is consistent and stable. However, GMM relies on Gaussian fitting, and thus is not suitable for skewed data. SOM is applicable for high-dimensional data, and is adaptable to data distribution. But it is susceptible to sample size and outlier detection strategy.

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Section: Discussionmentioning

confidence: 56%

Section: Methodsmentioning

confidence: 99%

Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study

Yan

et al. 2022

BMC Med Res Methodol

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“…The multivariate algorithm described below was used to select a set of individuals suitable for determination of the relevant RIs for each test. The indirect derivation of RIs from the laboratory information system was reported previously [ 14 , 15 ]. The value of the index was used to calculate the new reference range only when all statistically significant related variables of the index were in the existing RIs.…”

Section: Methodsmentioning

confidence: 99%

New comprehensive reference values for kidney function indexes across adult and geriatric ages in Chinese popuplation

Zheng

Deng

et al. 2022

Heliyon

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“…for the nomenclature, terminology, units and formats used, to ensure reproducibility of all the steps of the total laboratory testing procedure, possibly for international application [10,11]. This is an on-going global process, as laboratories in Europe [12][13][14][15][16][17], Africa [18][19][20], North America [21], Asia [22][23][24] and Australia [25] aim to derive nation-specific RIs with multicentre studies. Despite this welcome effort, most studies have been conducted with very lenient inclusion/exclusion criteria due to a missing overarching definition of "health", covering both the normative aspects (well-being and functioning) and more descriptive aspects of health evaluation (test result assessment).…”

Section: Introduction (500 Words)mentioning

confidence: 99%

Cohort Profile: Swiss BioRef: The building blocks of a nationwide IT infrastructure in Switzerland for generating precise reference intervals

Blatter

Witte

Fasquelle-Lopez

et al. 2022

Preprint

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Purpose: Swiss BioRef is a nation-wide multicenter infrastructure project, the aim of which is to become a sustainable framework for the estimation and assessment of patient-group-specific reference intervals in laboratory medicine and beyond. In this unprecedented effort, nation-wide multidimensional data from multiple clinical laboratory databases has been combined under the common interoperable semantic framework of the Swiss Personalized Health Network (SPHN) initiative. The consolidated effort enables creating extremely detailed patient group-specific queries via intuitive web applications, allowing the generation of individualised, covariate adjusted reference intervals on-the-fly. Participants: The project is a collaborative effort of four major hospitals in Switzerland, the University Hospital Bern (Inselspital, Insel), University Hospital Lausanne (CHUV), Swiss Spinal Cord Injury Cohort (SwiSCI) and the University Children's Hospital Zurich (KiSpi), and two academic groups in Bern and in Lausanne. Findings to date: Within the infrastructure we deployed, the laboratory data from four major hospitals (approximately 9 million measurements from 250'000 patients) is made available to two conceptually different web applications (one centralised and statistically detailed, one decentralised using distributed computing). They enable the inference of reference intervals for more than 40 blood test variables from clinical chemistry, hematology, point-of-care-testing and coagulation testing, with various patient factors (such as age, sex and a combination of ICD-10 defined diagnoses) and analytical factors (such as type or unique identifiers) that can be used to generate precise reference intervals for the respective groups. Future plans: Now that all required basic infrastructure elements for Swiss BioRef are deployed, we are evaluating inter-cohort transferability of semantic standards, change tracking in merged databases and biological variation of the blood test variables, in order to generate precise reference intervals. While adjusting the developed web-interfaces to suit the needs of the various end-users, we additionally plan to onboard new national and international partners.

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Comparison of reference intervals derived by direct and indirect methods based on compatible datasets obtained in Turkey

Cited by 34 publications

References 17 publications

Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study

Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study

New comprehensive reference values for kidney function indexes across adult and geriatric ages in Chinese popuplation

Cohort Profile: Swiss BioRef: The building blocks of a nationwide IT infrastructure in Switzerland for generating precise reference intervals

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