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      Age‐related changes in mean corpuscular volumes in patients without anaemia: An analysis of large‐volume data from a single institute

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          Abstract

          Although the mean corpuscular volume (MCV) has been associated with various diseases, these associations in relation to the age‐related trends in MCV remain unclear. Therefore, we used a dataset with over one million values to identify the relationship between ageing and MCV changes. All laboratory data obtained between November 1998 and November 2019 at Chungbuk National University Hospital were retrospectively collected. After excluding cases with missing values for individual complete blood count parameters, outlier MCV values, and ages less than 1 year and more than 88 years, 977,335 MCV values were obtained from 309,393 patients. Principal component analysis of blood components with ages and analysis of the median value changes for each blood component across decade‐wise age groups were conducted to identify relationships between ageing and changes in blood components. The median values of MCV showed gradual increments with age. The linear relationship for patients aged 1–25 years had a larger slope than that for patients aged 26–88 years. For MCV, the equation for patients aged 1–25 years was 0.40*(age) + 81.24 in females and 0.45*(age) + 79.58 in males. The equation for patients aged 26–90 years was 0.04*(age) + 88.97 in females and 0.06*age + 88.30 in males. Among patients aged >40 years, the MCV value was higher in men than in women. Analysis of a large dataset showed that the MCV gradually increased with age and the linear relationship differed between patients aged 1–25 and 26–88 years.

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          Worldwide prevalence of anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993-2005.

          To provide current global and regional estimates of anaemia prevalence and number of persons affected in the total population and by population subgroup. We used anaemia prevalence data from the WHO Vitamin and Mineral Nutrition Information System for 1993-2005 to generate anaemia prevalence estimates for countries with data representative at the national level or at the first administrative level that is below the national level. For countries without eligible data, we employed regression-based estimates, which used the UN Human Development Index (HDI) and other health indicators. We combined country estimates, weighted by their population, to estimate anaemia prevalence at the global level, by UN Regions and by category of human development. Survey data covered 48.8 % of the global population, 76.1 % of preschool-aged children, 69.0 % of pregnant women and 73.5 % of non-pregnant women. The estimated global anaemia prevalence is 24.8 % (95 % CI 22.9, 26.7 %), affecting 1.62 billion people (95 % CI 1.50, 1.74 billion). Estimated anaemia prevalence is 47.4 % (95 % CI 45.7, 49.1 %) in preschool-aged children, 41.8 % (95 % CI 39.9, 43.8 %) in pregnant women and 30.2 % (95 % CI 28.7, 31.6 %) in non-pregnant women. In numbers, 293 million (95 % CI 282, 303 million) preschool-aged children, 56 million (95 % CI 54, 59 million) pregnant women and 468 million (95 % CI 446, 491 million) non-pregnant women are affected. Anaemia affects one-quarter of the world's population and is concentrated in preschool-aged children and women, making it a global public health problem. Data on relative contributions of causal factors are lacking, however, which makes it difficult to effectively address the problem.
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            Complete Blood Count Reference Intervals and Patterns of Changes Across Pediatric, Adult, and Geriatric Ages in Korea

            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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              Complete blood count reference interval diagrams derived from NHANES III: stratification by age, sex, and race.

              Comprehensive, up-to-date "health-associated" reference interval studies of North American populations are uncommon. The third US National Health and Nutrition Examination Survey (NHANES III) was concluded in 1994 and yielded important reference interval data. To obtain health-associated Coulter counter reference interval data from NHANES III according to age, sex, and race. Of the 29,314 civilian noninstitutionalized US citizens who participated in NHANES III, approximately 25,000 had a complete blood count, red cell distribution width (RDW), platelet count, and automated white blood cell (WBC) differential determined on a Coulter S-Plus Jr. To determine health-associated reference intervals, we used the following exclusion criteria: pregnancy, breast feeding, obesity (body mass index [BMI] >40 and >35 for females and males, respectively), diastolic blood pressure >100 mm Hg, any smoking, any drinking of alcohol, recent treatment for anemia, creatinine level >2.5 mg/dL, glucose level >126 mg/dL, excessive thinness (BMI 75 years). There was a high exclusion rate; for example, of the 20,685 individuals with measured hemoglobin levels, 12,688 (61.3%) were excluded. Percentile estimates could be derived accurately for almost all of the female age/sex categories. A few of the male Mexican American and non-Hispanic black categories contained observations for ages 45 to 75 years. There are age-dependent trends for many of the tests, notably in RDW, MCMV, platelet count, and granulocyte and lymphocyte percentages. Sex-dependent changes involved hemoglobin values, and race-related trends centered around mononuclear and lymphocyte percentages, hematocrit, MCHC, MCH, and hemoglobin. This study reveals the potential for using data mining of large samples to yield potentially useful reference ranges.
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                Author and article information

                Contributors
                lcjang@chungbuk.ac.kr
                Journal
                J Cell Mol Med
                J Cell Mol Med
                10.1111/(ISSN)1582-4934
                JCMM
                Journal of Cellular and Molecular Medicine
                John Wiley and Sons Inc. (Hoboken )
                1582-1838
                1582-4934
                22 May 2022
                June 2022
                : 26
                : 12 ( doiID: 10.1111/jcmm.v26.12 )
                : 3548-3556
                Affiliations
                [ 1 ] Deparment of Trauma Surgery, Trauma Center Chungbuk National University Hospital Cheongju Korea
                [ 2 ] Department of Surgery Chungbuk National University Hospital Cheongju Korea
                [ 3 ] Department of Surgery, College of Medicine Chungbuk National University Cheongju Korea
                [ 4 ] Department of Laboratory Medicine, College of Medicine Chungbuk National University Cheongju Korea
                [ 5 ] College of Medicine Chungbuk National University Cheongju Korea
                [ 6 ] Institute of Health & Science Convergence Chungbuk National University Cheongju Korea
                [ 7 ] Department of Surgery Yonsei University College of Medicine Seoul Korea
                Author notes
                [*] [* ] Correspondence

                Lee Chan Jang, Department of Surgery, College of Medicine, Chungbuk National University, 776, 1Sunhwan‐ro, Seowon‐gu, Cheongju‐si, Chungcheongbuk‐do 28644, Korea.

                Email: lcjang@ 123456chungbuk.ac.kr

                Author information
                https://orcid.org/0000-0002-4629-0934
                Article
                JCMM17397
                10.1111/jcmm.17397
                9189337
                35599236
                7cba9cb0-974e-4847-a44f-9a7d0c908e2e
                © 2022 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 April 2022
                : 11 January 2022
                : 05 May 2022
                Page count
                Figures: 5, Tables: 2, Pages: 9, Words: 4119
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                June 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:13.06.2022

                Molecular medicine
                age,complete blood count,mean corpuscular volume
                Molecular medicine
                age, complete blood count, mean corpuscular volume

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