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Complete Blood Count Reference Intervals and Patterns of Changes Across Pediatric, Adult, and Geriatric Ages in Korea
Eun Hee Nah1, Suyoung Kim2, Seon Cho2
1Department of Laboratory Medicine and Health Promotion Research Institute, Korea Association of Health Promotion, Seoul, Korea. cellonah@hanmail.net.
Insights
Establishing age- and sex-specific reference intervals (RIs) for complete blood count (CBC) parameters is crucial for pediatric and geriatric populations. This study provides comprehensive RIs, revealing dynamic changes across different age groups and sexes.
Area of Science:
- Hematology
- Clinical Chemistry
- Biostatistics
Background:
- Reference intervals (RIs) for complete blood count (CBC) parameters are not commonly established for pediatric and geriatric age groups.
- This study addresses the need for age- and sex-specific RIs across pediatric, adult, and geriatric populations.
Purpose of the Study:
- To establish comprehensive, age- and sex-specific reference intervals (RIs) for complete blood count (CBC) parameters.
- To evaluate the patterns of changes in CBC parameters across different age groups and sexes.
Main Methods:
- Utilized secondary data from 781,857 health examinees (ages 3-99 years) after outlier exclusion.
- Analyzed red blood cell (RBC), white blood cell (WBC), and platelet parameters.
- Determined age and sex partitions and calculated RIs following CLSI C28-A3 guidelines.
Main Results:
- RBC parameters showed age-related increases until adulthood, followed by decreases in males, and increases before puberty then decreases in females.
- WBC and platelet counts were highest in early childhood, decreasing with age; significant sex differences were observed.
- Neutrophil counts increased with age, while lymphocyte counts decreased after early childhood peaks; eosinophil and monocyte counts also showed sex-specific variations.
Conclusions:
- Comprehensive age- and sex-specific reference intervals (RIs) for CBC parameters have been established.
- CBC parameters exhibit dynamic changes influenced by both age and sex throughout the lifespan.
Background:
Sampling a healthy reference population to generate reference intervals (RIs) for complete blood count (CBC) parameters is not common for pediatric and geriatric ages. We established age- and sex-specific RIs for CBC parameters across pediatric, adult, and geriatric ages using secondary data, evaluating patterns of changes in CBC parameters.
Methods:
The reference population comprised 804,623 health examinees (66,611 aged 3-17 years; 564,280 aged 18-59 years; 173,732 aged 60-99 years), and, we excluded 22,766 examinees after outlier testing. The CBC parameters (red blood cell [RBC], white blood cell [WBC], and platelet parameters) from 781,857 examinees were studied. We determined statistically significant partitions of age and sex, and calculated RIs according to the CLSI C28-A3 guidelines.
Results:
RBC parameters increased with age until adulthood and decreased with age in males, but increased before puberty and then decreased with age in females. WBC and platelet counts were the highest in early childhood and decreased with age. Sex differences in each age group were noted: WBC count was higher in males than in females during adulthood, but platelet count was higher in females than in males from puberty onwards (P<0.001). Neutrophil count was the lowest in early childhood and increased with age. Lymphocyte count decreased with age after peaking in early childhood. Eosinophil count was the highest in childhood and higher in males than in females. Monocyte count was higher in males than in females (P<0.001).
Conclusions:
We provide comprehensive age- and sex-specific RIs for CBC parameters, which show dynamic changes with both age and sex.
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Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.