Age‐ and gender‐specific reference intervals for serum lipid levels (measured with an Advia 1650 analyzer) in school children

Tamimi, Waleed; Tamim, Hani; Felimban, Naila; Al-Mutair, Angham; Altwaijri, Yasmin; Al-Alwan, Ibrahim

doi:10.1111/j.1442-200x.2011.03361.x

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Table 2 summarizes the 2.5 th and 97.5 th percentiles of the glucose levels in boys and girls of different age groups ranging from 6 to 16 years. Table 3 shows the reference intervals for lipids for Saudi boys and girls, which were established recently and published [10]. We have found that in boys and at stage II, there was a significant positive correlation between glucose and cholesterol (r = 0.306, p < 0.001 n = 109) as well as between glucose and LDL (r = 0.317, p < 0.001 n = 109).…”

Section: Resultsmentioning

confidence: 70%

Age- and gender-specific reference intervals for serum glucose levels in school children measured by an Advia 1650 chemistry analyzer

et al. 2016

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The prevalence of diabetes mellitus among adults has increased in developed and developing countries. However, less attention has been focused on children, including establishing age- and gender-specific reference intervals for serum glucose levels. In this study, we sought to establish these interval values among Saudi children. In 2006, male and female school children from diverse socioeconomic levels in Riyadh, Saudi Arabia were selected for a cross-sectional study of blood glucose using a cluster sample design. Tanner stages were ascertained during physical examination. Blood samples from 1216 healthy school children aged 6 to 16 years ? 514 (42%) boys and 702 (58%) girls ? were analyzed for glucose using an Advia 1650 chemistry analyzer and a hexokinase assay. Reference intervals based on Tanner stages and age were established by calculating the mean and the 2.5th and 97.5th percentiles. The average blood glucose level was higher in boys than in girls. There were no significant differences between boys and girls at each Tanner stage. Therefore, the combined reference intervals for glucose levels, which were calculated to be (3.2?6.6), (3.4?6.6), (3.6?5.9), (3.6?6.9), and (3.2?6.4) for Tanner stages I, II, III, IV, and V respectively, can be used for both genders. However, significant differences were observed between boys and girls for BMI, height, and weight at all Tanner stages except stage IV. Unlike children in other developing countries, Saudi children do not have lower serum glucose levels than their Western counterparts. We believe that these findings reflect changing dietary habits and increasing affluence in Saudi Arabia. The reference intervals established in our study may aid in the early assessment of cardiovascular risk in Saudi pediatric populations.

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Section: Resultsmentioning

confidence: 70%

Age- and gender-specific reference intervals for serum glucose levels in school children measured by an Advia 1650 chemistry analyzer

et al. 2016

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“…In comparison to data from other studies,34 36 37 Chinese children showed lower levels of TG, TC and LDL. This may be explained by the difference of diet, lifestyle, economic development and environment in various ethnicities 32 38 39. TG, TC, HDL, LDL, ApoA1 and ApoB levels in children of Han ethnicity in our area are higher than those of children with the same age in Beijing area 40.…”

Section: Discussionmentioning

confidence: 72%

Age-specific and sex-specific reference intervals for non-fasting lipids and apolipoproteins in 7260 healthy Chinese children and adolescents measured with an Olympus AU5400 analyser: a cross-sectional study

et al. 2019

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AimsEthnic, demographic, lifestyle, genetic and environmental factors influence lipids and apolipoproteins. The aim of this study was to establish age-specific and gender-specific reference intervals for non-fasting lipids and apolipoproteins in healthy Chinese children and adolescents.MethodsThis study followed the Clinical and Laboratory Standards Institute EP28-A3c guidelines. Non-fasting samples were collected from 7260 healthy Chinese children and adolescents, and they were analysed using the Olympus AU5400 analyser for: triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 and apolipoprotein B (ApoB). The age-related and gender-related reference intervals were partitioned using the Harris-Boyd method. The non-parametric method was used to establish the lower limit (2.5th percentile) and the upper limit (97.5th percentile) for the reference intervals. The 90% CIs for the lower and upper limits were also calculated.ResultsBased on the Harris-Boyd method, gender partitions were required for TC, LDL-C and ApoB. Age differences were observed for all analytes. Paediatric reference intervals were established for non-fasting lipids and apolipoproteins based on a large population of healthy children and adolescents.ConclusionsPreviously used reference intervals did not take age and gender into account. These age-specific and gender-specific reference intervals established in this study may contribute to improved management and assessment of paediatric diseases.

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“…Additionally, the Sinton method was used by Manning et al while the Lahti method was preferred by Ridefelt et al [24][25]. There are also certain studies frequently using the standard statistical methods in the literature [26][27][28][29][30][31][32][33][34][35][36][37][38].…”

Section: Discussionmentioning

confidence: 98%

Determination of sub-groups in reference interval calculations and an application

Temel¹,

Kanik²,

Yıldırım³

et al. 2015

Turkish Journal of Biochemistry

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Objective: The main objective of this study is to determine the methods used for dividing reference data into sub-groups and propose a new solution. Therefore, the newly proposed method is used to determine age sub-groups while calculating the reference interval of AST variable.Methods: The data of this study are composed of the registered patients who applied only once to the polyclinics at the Health Research and Application Hospital, Clinical Bio-Chemistry Laboratory of Mersin University. The main variables selected for the study are sex, age and aspartate transaminase (AST). MARS 2.0 package software was used for the statistical analysis. Harris&Boyd method was used for sex and age while the MARS method was used for the determination of age sub-groups.Results: According to the Harris&Boyd method, it was concluded that it is not necessary to create sub-groups for sex and age variables. Age sub-groups are determined with the MARS method by taking into account the correlations between AST variables and age. Age sub-groups are calculated as 5-9, 10-18 and 19+. Correlation between the age and AST variable is investigated for these sub-groups. It is obtained that the correlation is statistically not significant for the 5-9 age group (p=0.3189), significant for the 10-18 age group (p<0.001) and significant for 19 and above (p<0.001).Conclusion: The selection of transformation and outlier value elimination method and especially determination criteria for separation of sub-groups are made according to researcher's subjective desicions in the application of many studies. Because of this reason, MARS can be used as an alternative and objective method for determining subgroups. In addition, results of MARS method being parallel with the findings of the producing company supported the usage of this method for determination of sub-groups.

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Age‐ and gender‐specific reference intervals for serum lipid levels (measured with an Advia 1650 analyzer) in school children

Cited by 7 publications

References 24 publications

Age- and gender-specific reference intervals for serum glucose levels in school children measured by an Advia 1650 chemistry analyzer

Age- and gender-specific reference intervals for serum glucose levels in school children measured by an Advia 1650 chemistry analyzer

Age-specific and sex-specific reference intervals for non-fasting lipids and apolipoproteins in 7260 healthy Chinese children and adolescents measured with an Olympus AU5400 analyser: a cross-sectional study

Determination of sub-groups in reference interval calculations and an application

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