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Age-dependent changes of total and differential white blood cell counts in children.
Li, Kun; Peng, Ya-Guang; Yan, Ruo-Hua; Song, Wen-Qi; Peng, Xiao-Xia; Ni, Xin.
Afiliação
  • Li K; Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, Beijing 100045, China.
  • Peng YG; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
  • Yan RH; Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, Beijing 100045, China.
  • Song WQ; Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, Beijing 100045, China.
  • Peng XX; Department of Clinical Laboratory Center, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, Beijing 100045, China.
  • Ni X; Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, Beijing 100045, China.
Chin Med J (Engl) ; 133(16): 1900-1907, 2020 Aug 20.
Article em En | MEDLINE | ID: mdl-32826452
ABSTRACT

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.

RESULTS:

Both 50th and 97.5th quantiles of total white blood cell count and monocyte count were highest at birth, then rapidly decreased in the first 6 months of life; relatively slow reduction continued until 2 years of age. The lymphocyte count was low during infancy and increased to its highest level at 6 months of age; it then exhibited moderate and continuous reduction until approximately 9 years of age. The pattern of neutrophil count changed with age in a manner opposite to that of lymphocyte count. Besides, there were two inter-sections of lymphocyte count and neutrophil count during infancy and at approximately 5 years of age, based on locally weighted regression (LOESS) analysis. There were no apparent age-related changes in eosinophil or basophil counts.

CONCLUSION:

These data regarding age-related changes in total and differential white blood cell counts can be used to assess the health of pediatric patients and guide clinical decisions.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neutrófilos Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans / Newborn País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neutrófilos Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans / Newborn País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article