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Background::Total and differential white blood cell counts are important for the diagnostic evaluation of suspected diseases. To facilitate the interpretation of total and differential white blood cell counts in pediatric patients, the present study investigated age-dependent changes in total and differential white blood cell counts in healthy reference children.Methods::Data were obtained from the Pediatric Reference Intervals in China study (PRINCE), which aims to establish and verify pediatric reference intervals for Chinese children based on a nationwide multicenter cross-sectional study from January 2017 to December 2018. Quantile curves were calculated using the generalized additive models for location, shape, and scale method. The 2.5th, 50th, and 97.5th quantile curves were calculated for both total and differential white blood counts. Percents of stacked area charts were used to demonstrate the proportions of differential white blood cells. All statistical analyses were performed using R software.Res

作者:Li Kun;Peng Ya-Guang;Yan Ruo-Hua;Song Wen-Qi;Peng Xiao-Xia;Ni Xin

来源:中华医学杂志英文版 2020 年 133卷 16期

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收藏
| 浏览:50 | 下载:13
作者:
Li Kun;Peng Ya-Guang;Yan Ruo-Hua;Song Wen-Qi;Peng Xiao-Xia;Ni Xin
来源:
中华医学杂志英文版 2020 年 133卷 16期
标签:
Leukocyte count Trends Pediatrics Development Growth Leukocyte count Trends Pediatrics Development Growth
Background::Total and differential white blood cell counts are important for the diagnostic evaluation of suspected diseases. To facilitate the interpretation of total and differential white blood cell counts in pediatric patients, the present study investigated age-dependent changes in total and differential white blood cell counts in healthy reference children.Methods::Data were obtained from the Pediatric Reference Intervals in China study (PRINCE), which aims to establish and verify pediatric reference intervals for Chinese children based on a nationwide multicenter cross-sectional study from January 2017 to December 2018. Quantile curves were calculated using the generalized additive models for location, shape, and scale method. The 2.5th, 50th, and 97.5th quantile curves were calculated for both total and differential white blood counts. Percents of stacked area charts were used to demonstrate the proportions of differential white blood cells. All statistical analyses were performed using R software.Res