Age- and sex-related changes in hematological parameters in healthy Malawians.

AIM: The aim of the study was to determine how values for white blood cell (WBC) counts, hemoglobin (Hb), hematocrit (Hct), mean corpuscular volume (mcv), and platelet counts vary with age and sex in healthy Malawians.
METHODS: We recruited 660 (316 male and 344 female) participants in 12 different age groups. An ethylenediaminetetraacetic acid-anticoagulated blood sample collected from each participant was analyzed using a hematological analyzer.
RESULTS: WBC counts decreased with age with the lowest counts observed in the 20 to <60 years old group. Median WBC counts for 20 to <60 year old females (5.9×109/L) were significantly higher than those for men (4.7×109/L; p=0.015) of the same age. Hb and Hct increased between 5 and 10 years in males and 10 and 15 years in females to adult levels. Males aged 5 to <10 years had significantly higher Hb (13.05 g/dL) and Hct (42.50%) compared to females of the same age (10.40 g/dL and 32.55%, respectively; p<0.0001 for both parameters). Platelet counts in males, which were highest between 3 and 5 years (376×109/L), decreased to lowest counts among 5 to <10 year olds (238×109/L), while in females these decreased from 402×109/L in 6 to <10 years olds to 226×109/L in 10 to <15 year olds. mcv median values were high in neonates reaching a nadir at 13-18 months and then increased throughout life. Females aged 0 to <6 months had significantly higher mcv values (81.85 fL) than males of the same age (69.3 fL; p<0.0001).
CONCLUSION: This study provides hematological values according to age and sex that are suitable for reference use in studies among Malawian subjects.

Introduction

Just as the immune system develops and matures with age,1 various hematological parameters have also been shown to change and develop with age2 although other factors such as genetics, sex, altitude, and life style may affect this process.3 Most of these factors vary depending on the population and geographical area studied,4,5 suggesting that reference values that have been validated for one country or age group cannot be assumed for application in populations from other countries.3

Reference ranges are important for monitoring pathophysiological changes after infection or disease or following the administration of drugs in therapeutic or clinical interventions and vaccine studies.6 Since diseases such as malaria and HIV/AIDS affect hematological parameters in different ways, analysis of blood samples for full blood counts (FBCs) is therefore now routinely performed to check for variations which could be due to these diseases.7

Studies in African countries have reported differences in normal values from those reported in other continents.8–11 Studies previously conducted to establish hematological reference values for a Malawian population limited their participants to children aged <1 year12,13 and young adults aged between 19 and 30 years.14 We conducted this study to determine how white blood cells (WBC) counts, hemoglobin (Hb), hematocrit (Hct), mean corpuscular volume (mcv), and platelet counts vary with age and sex in Malawians from birth to adulthood.

Materials and methods

Study area and recruitment of study participants

Some findings concerning the study site and the population investigated in this paper have been published before.5,15 The study was conducted at the Ndirande Health Centre, Ndirande township, Blantyre, Malawi, between October and December 2005 and September and November 2006. Study participants were healthy volunteers from the township, were not HIV infected, had no known active disease, were not malnourished, not on treatment for any known infectious or noncommunicable disease, and were made aware of the study by health care assistants at immunization clinics and by local leaders in the community. Infants were recruited when they reported for routine vaccination, whereas adults were recruited from the community. Each study participant was assessed clinically by a trained research nurse and a clinical officer, both with >5 years experience in assessing and recruiting study participants into clinical research projects.

The clinical assessment process included a review of each participant’s health passport, a booklet issued to every Malawian citizen from birth having medical records of all diagnoses and treatment given to that individual, and a clinical examination. With the aid of a brief questionnaire, participants were asked whether they were on any medication and whether they had a history of any illness. Participants were assessed for febrile illness, infections such as malaria, severe malnutrition, and clinical AIDS. Severe malnutrition was defined as weight-for-height <70% in children or body mass index <16% in adults. Only those participants found to be afebrile (axillary temperature ≤38°C, not severely malnourished, not on any treatment, HIV uninfected, not infected with Plasmodium falciparum parasites, and without any active or past history of recurrent or chronic infections) were defined as healthy and recruited into the study. Approximately 50 subjects were recruited into each of the following 12 age groups: neonates (cord blood sample), 0 to <6, 6 to <12, 12 to <18, and 18 to <24 months, 2 to <3, 3 to <5, 5 to <10, 10 to <15, 15 to <20, 20 to <60, and ≥60 years. After informed consent, baseline demographic data, height, and weight were recorded, and a 5-mL blood sample was obtained with 1 mL collected in an ethylenediaminetetraacetic acid (EDTA)-anticoagulated tube. Informed consent was obtained from each participant or a parent or a guardian of every child. Exclusion criteria were presence of active disease and/or fever (>38°C axilla), receiving medication at the time of recruitment, and severe malnutrition (Figure 1). Blood samples were tested for HIV seropositivity and malaria parasitemia and the results of those participants found to be either HIV infected or parasitemic with P. falciparum were not included in the final data analysis. A follow-up appointment was offered 1 week later to give results to interested study participants. HIV-infected adults and children were referred to the antiretroviral therapy clinic.

Figure 1

A schematic presentation depicting the number of total potential study participants screened, how many were excluded from the study due to various reasons, and how many female and male participants had their data used in the final statistical analysis.

Investigations

HIV testing was performed using two rapid test kits; Determine (Abbott Laboratories, Abbott Park, IL, USA) and Unigold (Trinity Biotech, Dublin, Ireland). Thick and thin blood smears were prepared by standard methodology. WBC, Hb, Hct, mcv, and platelet counts were determined using an HMX Hematological Analyzer (Beckman Coulter, Brea, CA, USA) using the sample collected in the EDTA tube.

Ethical approval

Ethical approval for this study was obtained from College of Medicine Research and Ethics Committee in Blantyre, Malawi.

Statistical analysis

For statistical analysis, subjects were divided into 12 age groups as indicated in Table 1. Mann–Whitney test was used to determine the statistical significance of the observed differences between male and female participants of different age groups. Statistical tests were performed using GraphPad Prism version 6.01 for Windows (GraphPad Inc, La Jolla, CA, USA). The results in Table 2 are presented as median values (minimum and maximum range) of WBC, Hb, Hct, mcv, and platelet counts.

Table 1

Age distribution, sex, number and age (range) in months or years of the study participants whose data were used and reported on in the study

Age range	Number of Study Participants and the medians and range of their ages
	Female	Male	Combined
Neonates (cord blood)	37	24	61
	–	–	–
0 to <6 months	44	24	68
	3 (1–6) months	2 (1–6) months	3 (1–6) months
6 to <12 months	31	35	66
	11 (7–12) months	10 (7–12) months	10.5 (7–12) months
12 to <18 months	15	27	42
	15 (13–18) months	15 (13–18) months	15 (13–18) months
18 to <24 months	16	33	49
	21.5 (19–23) months	22 (19–24) months	22 (19–24) months
2 to <3 years	20	28	48
	2.4 (2.1–3.0) years	2.5 (2.1–3.0) years	2.4 (2.1–3.0) years
3 to <5 years	22	29	51
	4.0 (3.1–5.0) years	4.4 (3.2–5.0) years	4.2 (3.1–5.0) years
5 to <10 years	30	26	56
	7.1 (5.1–10.0) years	6.8 (5.3–10.0) years	7.0 (5.1–10.0) years
10 to <15 years	36	17	53
	12.2 (10.1–14.9) years	11.2 (10.1–14.9) years	11.8 (10.1–14.9) years
15 to <20 years	29	29	58
	18.0 (15.4–19.8) years	16.8 (15.4–20.0) years	17.2 (15.4–20.0)
20 to <60 years	33	20	53
	23.9 (20.3–57.4)	22.0 (20.7–37.1) years	23.8 (20.3–57.4)
>60 years	31	24	55
	65.0 (60.0–81.0) years	70.5 (60.0–92.0)	66.0 (60.0–92.0) years
Total Numbers	344	316	660

Table 2

Medians (minimum and maximum range) for WBC counts, Hb concentration, Hct percentage, mcv, and platelet counts for the study participants of different age and sex

Age group	WBC (109/L)	p–value (M vs F)	Hb (g/dL)	p–value (M vs F)	Hct (%)	p–value (M vs F)	MCV (fL)	p–value (M vs F)	Platelet Count (109/L)	p–value (M vs F)
Neonates	11.6(3.9–25.8)		11.30(7.60–14.30)		33.80(22.0–44.4)		86.91(63.9–111.5)		383(106 –842)
Female	11.8(3.9–25.8)	0.350	11.20(8.80–12.90)	0.337	33.70(28.10–38.40)	0.177	88.3(63.9–100.2)	0.250	385(108–842)	0.813
Male	11.5(7.0–25.21)		11.70(7.60–14.30)		34.80(22.0–44.4)		84.1(64.2–111.5)		355(106–612)
1–6 months	9.4(2.7–17.4)		11.45(7.40–13.40)		34.70(24.50–40.80)		77.05(53.6–98.3)		346(102–684)
Female	9.5(2.7–17.4)	0.232	11.55(7.40–13.40)	0.127	35.10(24.5–40.80)	0.193	81.85(66.3–98.3)	<0.001	340(102–607)	0.419
Male	9.0(6.2–17.4)		10.65(8.10–13.30)		33.05(26.0–39.60)		69.3(53.6–78.8)		365(105–684)
7–12 months	10.65(3.1–25.1)		11.40(8.40–13.90)		34.70(26.40–40.80)		67.45(47.6–84.1)		312(106–518)
Female	10.4(6.7–19.6)	0.2336	11.20(8.40–13.30)	0.286	34.10(26.4–40.80)	0.464	66.6(49.2–83.0)	0.145	323(106–479)	0.822
Male	11.2(3.1–25.1)		11.50(9.30–13.90)		34.70(27.8–40.70)		67.8(47.6–84.1)		298(125–518)
13–18 months	10.45(5.5–25.10)		12.15(9.70–13.70)		36.20(26.30–40.70)		65.0(52.7–78.2)		307(101–564)
Female	10.1(7.4–15.7)	0.258	12.20(9.70–13.70)	0.121	36.3(26.3–40.70)	0.265	65.3(57.6–76.1)	0.177	306(153–517)	0.990
Male	11.2(5.5–25.1)		11.80(10.0–13.10)		36.0(29.7–39.8)		63.6(52.7–78.2)		308(101–564)
19–24 months	9.2(5.2–21.0)		11.40(7.00–14.50)		34.60(22.70–44.10)		72.7(54.8–88.7)		357(104–623)
Female	8.75(5.2–13.9)	0.234	10.55(8.10–14.50)	0.281	32.45(27.4–44.1)	0.348	70.85(56.3–86.8)	0.118	368(104–623)	0.898
Male	9.6(5.4–21.0)		11.50(7.0–13.60)		35.0(22.7–40.90)		72.8(54.8–88.7)		337(131–623)
>2–3 years	8.25(4.3–16.5)		10.25(7.40–13.40)		31.65(21.50–39.10)		76.4(54.5–92.0)		378(105–988)
Female	7.95(6.6–12.5)	0.145	10.25(7.80–13.00)	0.616	31.90(22.7–38.60)	0.484	76.4(54.5–85.3)	0.283	437(105–988)	0.158
Male	8.8(4.3–16.5)		10.20(7.40–13.40)		31.25(21.50–39.10)		76.45(62.0–92.0)		361(112–755)
>3–5 years	7.9(4.6–12.9)		10.00(6.60–12.90)		31.10(23.60–38.80)		77.9(62.4–90.7)		447(100–915)
Female	8.05(4.7–11.7)	0.400	10.05(4.60–12.60)	0.581	31.2(15.40–38.80)	0.655	77.35(62.4–89.4)	0.222	478(100–915)	0.424
Male	7.6(4.6–12.9)		10.00(6.70–12.90)		31.10(236–38.20)		77.9(63.5–90.7)		376(110–755)
>5–10 years	6.45(3.3–14.7)		11.70(7.50–15.90)		36.40(21.90–50.40)		80.3(67.3–98.1)		288(103–719)
Female	6.6(4.1–14.1)	0.192	10.40(7.50–15.90)	<0.0001	32.55(13.0–48.9)	<0.0001	78.9(67.3–98.1)	0.249	402(103–719)	0.0001
Male	6.3(3.3–14.7)		13.05(10.0–15.60)		42.50(32.5–50.4)		81.0(68.1–88.6)		238(104–388)
>10–15 years	5.7(3.3–9.7)		13.60(7.30–17.60)		41.90(22.60–55.10)		81.4(64.6–91.5)		249(108–428)
Female	5.7(3.5–9.7)	0.401	13.15(7.30–17.60)	0.153	41.50(22.6–55.10)	0.581	82.25(64.6–91.5)	0.263	226(108–413)	0.185
Male	5.6(3.3–9.2)		14.10(12.10–15.70)		42.70(35.4–47.4)		80.4(66.5–86.5)		263(156–428)
>15–20 years	5.1(3.0–13.8)		14.40(8.00–17.60)		43.80(26.50–54.80)		85.5(65.5–96.0)		249(102–452)
Female	5.85(3.6–13.8)	0.015	14.70(11.80–16.90)	0.066	44.8(34.7–51.9)	0.086	86.25(65.5–96)	0.328	238(137–452)	0.523
Male	4.7(3.0–8.9)		14.10(8.0–17.60)		42.2(26.5–54.8)		84.7(72.3–93.4)		262(102–400)
>20–60 years	5.4(3.4–12.6)		12.80(7.40–16.40)		39.40(25.60–52.70)		87.1(54.0–102)		214(100–402)
Female	5.1(3.6–12.6)	0.464	12.60(7.40–16.20)	0.205	38.0(25.6–49.2)	0.145	84.6(57.2–98.7)	0.105	205(110–379)	0.160
Male	5.5(3.4–8.9)		13.0(9.50–16.40)		39.7(29.3–52.7)		89.6(54.0–102)		238(100–402)
>60 years	5.6(3.3–12.5)		13.50(8.30–18.00)		40.00(26.70–59.30)		89.3(58.9–111.0)		234(100–585)
Female	5.8(3.3–12.5)	0.215	13.50(8.30–17.90)	0.440	40.0(26.7–56.51)	0.641	89.3(72.9–111.0)	0.386	229(100–443)	0.235
Male	5.5(4.1–7.5)		13.45(9.70–18.0)		39.9(30.1–59.30)		89.45(58.9–103.3)		253(102–585)

Note: Bolded data represents the p-values that were equal to or less than 0.05 indicating a significant difference of the medians of the specific parameter between male and female participants of the specified age range.

Abbreviations: WBC, white blood cell; Hb, hemoglobin; Hct, hematocrit; mcv, mean corpuscular volume; M, male; F, female.

Results

Participants

In total, we screened 723 healthy Malawians of different ages. Sixty-three were eliminated from the study either because they were HIV infected, severely malnourished, had malaria or were asymptomatically infected with P. falciparum, or were febrile, or found have any other infectious disease (Figure 1). The remaining 660 (316 males and 344 females) were divided into 12 different age groups for statistical analysis (Table 1). The median age and range values for each age group are provided in Table 1. For study participants aged >60 years, the overall median age for both men and women was 66 years, the median age for female participants was 66 with a range of 60–81 years, and the median age for men was 70.5 years with a range of 61–92 years. Leukocyte and lymphocyte subset data of these study participants have been reported before.5,15

Variation in hematological indices with age

Median WBC counts were high in neonates (11.6×109 cells/L) through to 18 months of age (Table 2; Figure 2A). These then decreased in children aged between 19 and 24 months and further decreased with age, plateauing among children aged 10–15 years at adult levels. Females aged 15 to <20 years had significantly (p=0.015) higher WBC counts (5.9×109 cells/L) compared with male participants (4.7×109 cells/L) of the same age (Table 2), an observation that has been noted before16 and attributed to hormonal changes in women.17

Figure 2

Median (10th and 90th percentiles) of (A) WBC counts (109/L), (B) Hb levels (g/dL), (C) Hct levels (%), (D) mcv (fL), and (E) platelet counts (109/L) for female (red) and male (black) study participants of different age groups.

Abbreviations: F, female; M, male; WBC, white blood cells; Hb, hemoglobin; Hct, hematocrit; mcv, mean corpuscular volume.

Median Hb concentrations were low in neonates and young children (Figure 2B). These increased among males at 5–10 years and then among females at 15–20 years to reach the highest levels (median 14.40 g/dL) at 15–20 years (Table 2). Median Hct followed a near identical trend to Hb (Figure 2C). Male participants in the 5–10 years age group had significantly (p<0.0001 for both parameters) higher Hb (13.1 g/dL) and Hct (42.5%) compared with females of the same age (10.4 g/dL and 32.6%, respectively).

Median mcv peaked in neonates (87 fL), decreasing gradually with age to a nadir of 67.8 fL among children aged 13–18 months (Figure 2D). This was followed by a gradual increase reaching a peak of 89 fL in adults >60 years. Female babies in the 1–6 months age group had significantly (p<0.0001) higher mcv values (81.85 fL) compared with male babies in the same age group (69.3 fL) (Table 2).

Median platelet counts peaked in the 3 to <5 years group for both girls (478×109/L) and boys (376×109/L) (Table 2; Figure 2E). This was a followed by a gradual decrease with the lowest counts (205×109/L for females and 238×109/L for males) observed in the 20 to <60 years aged group (Table 2). Females aged 6–10 years had significantly (p=0.0001) higher platelet counts compared with males (238×109/L) of the same age group (Table 2).

Discussion

We have reported values for WBC count, Hb, Hct, mcv, and platelet count for healthy Malawians residing in a township in Blantyre from birth to adults in their nineties. Male and female adults have lower values for WBC, Hb, Hct, mcv, and platelet counts compared to published standard values for Caucasian populations.18 In one age group in the current study (5–10 years), females had lower Hb and Hct values than males. Previous reports from Malawi only provided ranges for healthy children aged between 0 and 6 months,12 in neonates,13 and in adults aged between 19 and 30 years.14 The values from the present study fell within the ranges established for the previous study but provided more finesse and detail with respect to age and sex. In both studies, healthy study participants had hematological values outside reference ranges for Caucasian populations. In the absence of ranges established among Malawian subjects, such results could be misinterpreted as indicating an underlying medical problem.

Similar to studies conducted among western populations,19,20 and other African populations,3,8 Hb and Hct levels in Malawian children were comparable regardless of sex from birth to 10 years. The age groups between 5 and 10 years for boys and 10 and 15 years for girls mark a transition from childhood to adulthood values, with Hct and Hb higher in the older age groups. Few publications have reported Hb variation with age to adulthood. One study, in an Indian population from the age of 12–90 years,21 and another one among British, American, and Canadian Caucasian subjects from birth to adulthood22 observed that male participants had higher Hb values compared with female participants from 12 years onward. Overall, the Hb results obtained in our study are lower compared with those in the western adult population,22 but higher than those of the Indian study,21 and this might be attributed to a lower than normal dietary iron intake that could impair hematopoiesis.7 The finding could also be due to chronic erythrocyte loss due to intermittent malaria or hookworm infestation, both of which are common in the region.6

The difference observed in the age groups in which platelet counts drastically decreased, between 3 and 5 years in males and 10 and 15 years in females, could be due to estrogen in females which has been associated with changes in platelet function.23 The lower platelet counts observed in the Malawian population compared to the standard reference ranges12 might be the result of environmental or genetic factors or both.17 However, the observation that even among African populations2–6 these counts vary substantially suggests that environmental factors are important. Other studies have reported that adult females have higher2,7–9,17 or similar5,23 platelet counts compared with adult males.

When compared to standard reference ranges,18 which are set for Caucasians aged between 20 and 60 years, Malawians had lower values for Hb, Hct, and platelet counts. When compared to values for other African subjects, Malawian male participants had lower Hb and Hct values than those in male participants from Uganda,8 Central African Republic,3 Botswana,6 Tanzania,9 and Kenya,10 consistent with the importance for environmental factors in determining such intercountry differences.

When the normal reference limits of the Beckman Coulter hematological analyzer, which were obtained after analyzing blood samples from healthy Malawian controls,14 were taken into consideration (2.8–7.2×109/L for WBC counts, 13.6–16.7 g/dL for Hb, 39.0%–50.0% for Hct, 82.0–98.0 fL for mcv, and 115–290×109/L for platelets), results for all parameters analyzed in all age groups were within those set limits.

The results of this study complement findings from a previous Malawian study14 which found age and sex variations of hematological values in participants aged between 19 and 35 years. Considering various studies that have reported a variation of hematological parameters based on ethnicity, age, and sex, the values reported in this study provide additional information on how such values vary with age and with sex in Malawi.

Limitations

Our study had a number of limitations including variations in the numbers of male and female participants in the different age groups and lack of detailed information concerning past medical history, including recent infections. Collection of specimens was not performed at a constant time of the day and social details such as smoking were not recorded. Furthermore, all study participants were recruited from one location in Blantyre, Ndirande township, which is a peri-urban setting. Also, although we had planned to recruit equal numbers of participants for each group, we ended up with variable samples sizes for the different age groups and particularly for males and females in each group, partly through the exclusion of some participants based on the screening results included in Figure 1. Lastly, although a previous Malawian study14 had suggested the need for collecting data on key behavioral, dietary, and environmental factors that might affect hematological variables, our study only excluded severely malnourished subjects.

Ndirande is a large township with >109,164 inhabitants24 of different Malawian ethnic backgrounds including Chewa, Nyanja, and Ngoni from the central region, Yao, Mang’anja, and Sena from the southern region, and Tumbuka and Nkhonde from the northern region, who have over the years migrated to the city.25 With such a diversity in the ethnic background of the study population, it is not easy to ascertain that the variations observed in hematological values from other studies are purely due to age or sex alone. Any future study aiming to establish reference hematological ranges representative of the ethnic tribes in Malawi will need to recruit participants of known ethnicity. If values from the same participants are collected at least at two time points, during the dry season and the wet season, the average of the two values would help eliminate seasonality as a potential confounder.

Conclusion

In conclusion, we have shown, as others have, that hematological parameters vary with age and with sex. When compared with results of other studies, there are regional and ethnic differences in reference values of hematological indices between African and Caucasian populations as we have previously described for leukocyte and lymphocyte subsets.5 Even among African populations, these values vary supporting the concept that each country should establish its own set of normal hematological reference ranges. These should be performed in carefully characterized healthy participants representative of all ages and both sexes, and should ideally be representative of all ethnic groups in that country.