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Horizonte Médico (Lima)

Print version ISSN 1727-558X

Horiz. Med. vol.23 no.2 Lima Apr./Jun. 2023  Epub May 30, 2023

http://dx.doi.org/10.24265/horizmed.2023.v23n2.07 

Original article

Hemoglobin as a predictor of hematocrit and red blood cell count according to age and sex in a population of Villa El Salvador, Lima, Peru

Alberto Guevara Tirado1  2  , Doctor of Medicine. Master’s degree in Medicine
http://orcid.org/0000-0001-7536-7884

1 Universidad Científica del Sur, School of Human Medicine. Lima, Peru.

2 Universidad de San Martín de Porres, School of Human Medicine, Graduate Division. Lima, Peru.

ABSTRACT

Objective:

To assess the degree of hemoglobin correlation as a possible predictor of hematocrit and red blood cell count according to age and sex in a population of the district of Villa El Salvador, Lima, Peru.

Materials and methods:

An observational, analytical, correlational and prospective study carried out with 550 males and 700 females of all ages who attended monthly preventive-promotional health campaigns, as well as routine medical consultations, from January 2021 to June 2022. Non-probability convenience sampling was used. The variables were sex, age group, hematocrit and red blood cell count. The Spearman’s rank correlation coefficient was used because the Kolmogorov-Smirnov normality test showed a non-normal distribution. A p value below 0.05 with a 95 % confidence interval was considered significant.

Results:

There was a higher prevalence of anemia in the group of females older than 11 years (35.10 %), while hemoglobin levels in most children younger than 11 years were mainly normal. High and positive correlations between hemoglobin and hematocrit close to one were found in all age groups and both sexes. In addition, moderate and positive correlations were found in female toddlers and girls (Rho = 0.525), female adolescents (Rho = 624), as well as male toddlers and boys (Rho = 0.597).

Conclusions:

Hemoglobin levels are highly and positively correlated with hematocrit. Simultaneous hemoglobin and hematocrit testing may be clinically and economically unnecessary in screening and preventive-promotional campaigns on anemia conducted in large population groups. Likewise, hemoglobin correlates moderately and positively with red blood cell in children of both sexes and female adolescents. Further research is needed to deepen the reasons why correlation varies in these groups.

Keywords: Hemoglobins; Hematocrit; Erythrocytes

Introduction

The measurement of hemoglobin and hematocrit levels and red blood cell count are among the most common laboratory tests worldwide 1 because they are essential for the diagnosis and follow-up of hematologic disorders, mainly anemia 2, a disease highly related not only to iron deficiency and other nutrient (vitamin B12, folic acid) deficiencies 3 but also, to a lesser extent, to erythrocyte morphology and volume disorders, autoimmune diseases and neoplasia, among other conditions 4. Hemoglobin, a complex hemoprotein found inside erythrocytes (although similar globins can also be found in non-erythroid cells 5), phylogenetically conserved since the beginning of the evolution of living things (as functionally similar globins can be found in other vertebrates, invertebrates and prokaryotes 6), is responsible for transporting oxygen and carbon dioxide, as well as serving as a pH buffer by capturing hydrons when it loses oxygen 7. Hematocrit, also known as packed cell volume or erythrocyte volume fraction 8, is the volume percentage of red blood cells in blood, so this measurement depends on the number of red blood cells 9. Red blood cell count is a test that is part of a complete blood count, measures the number of red blood cells in a blood sample 10 and is used in routine medical consultations to monitor or diagnose disorders involving decreased or excess red blood cell production 11.

Hemoglobin levels are measured in automated machines where erythrocytes are broken down and hemoglobin is released into a solution so that its concentrations are spectrophotometrically measured using the cyanmethemoglobin method 12. Hematocrit is not directly measured: the automated system multiplies the number of red blood cells by their mean corpuscular volume 13. This fact has led to questioning the relevance of performing both measurements in terms of cost-effectiveness 14 when the objective is the screening and diagnosis of anemia on a large scale since, as mentioned before, most hemoglobin is contained in red blood cells 15. Furthermore, previous research studies have suggested that both tests are very highly correlated 16; likewise, less frequent diseases with significant clinical symptomatology, such as macrocytic anemia and polycythemia, cause disagreement between hemoglobin and hematocrit 17.

This research aimed to determine the degree of correlation between hemoglobin and hematocrit and between hemoglobin and red blood cell count in apparently healthy patients attending routine medical consultations in the district of Villa El Salvador in Lima, Peru. The results will allow us to determine whether this relationship is strong enough to question the relevance and cost-benefit of requesting a hematocrit test paired with a hemoglobin test, and also to determine the degree of correlation between these parameters and red blood cell count in our population.

Materials and methods

Study design and population

A descriptive correlational study conducted in patients aged 18 years or older and of both sexes, asymptomatic, who attended private medical consultations and preventivepromotional health campaigns in a polyclinic in the district of Villa El Salvador in Lima, Peru. The population consisted of all patients who attended the polyclinic from January 2021 to June 2022, totaling 1,250 people (700 females and 550 males). Non-probability convenience sampling was used since patients were selected on a first-come, first-served basis. The inclusion criteria were being a patient aged 18 years or older, attending routine medical consultations and preventive-promotional health campaigns, being apparently healthy and of both sexes. The exclusion criteria were being a patient with a previous diagnosis of any hematological, autoimmune or endocrine metabolic disorder (anemia, diabetes, rheumatoid arthritis, lupus, and corticoid and mineralocorticoid disorders).

Variables and measurements

The results from the laboratory tests performed during the preventive-promotional health campaigns, as well as during the routine medical consultations, were recorded. Sex was considered as the qualitative variable; age—grouped into toddlerhood and childhood (up to 10 years), adolescence (11 to 17 years), young adulthood (18 to 39 years), middle adulthood (40 to 59 years) and older adulthood (60 years and older)—hemoglobin (in grams/deciliter), hematocrit and red blood cell count were considered as the quantitative variables.

Data collection procedure

Coordination was made with the polyclinic management for the collection of data using the medical records from private consultations and preventive-promotional medical health campaigns carried out every third Thursday of every month from January 2021 to June 2022. The information concerning the study was collected and entered in an anonymous Microsoft Excel 2016 spreadsheet so that, once the period of time set as a collection goal was completed, it could be analyzed and processed using IBM SPSS Statistics V25.

Statistical analysis

Sex and age were the categorical variables for the descriptive statistical analysis. The numerical variables were hemoglobin, hematocrit and red blood cell count. The variables were dichotomized in 2 x 2 tables. The results were displayed in tables. The bivariate correlations procedure was used for the analytical statistical analysis. To this end, the correlation between the numerical variables was determined using Pearson’s correlation coefficient, after the evaluation of normality with the KolmogorovSmirnov test, which showed a non-normal distribution. An alpha value equal to 0.05 was considered as cut-off point for statistical significance.

Ethical considerations

The research was approved by the polyclinic management. Patient data was coded in an anonymous database, i.e., it did not include personal information since only information concerning quantifiable data from the medical records was used. Therefore, informed consents were not required.

Only the researcher had access to the information to ensure confidentiality. The study complied with the Declaration of Helsinki ethical principles.

Results

Most patients aged 11 years or younger who attended the polyclinic showed adequate hemoglobin ranges (Table 1).

Table 1 Hemoglobin ranges in patients aged 11 years or younger of both sexes 

Patient’s sex
Male Female Total
Hemoglobin range 6-10.4 g/dl n 17 8 25
% 8.60 6.20 7.60
10.5-16 g/dl n 177 120 297
% 91.40 93.80 92.40
Total N 194 128 322
% 100.0 100.0 100.0

It was observed that most male patients had adequate hemoglobin ranges (90.2 %) and a relatively high percentage of female patients had inadequate hemoglobin levels (35.1 %) (Table 2).

Table 2 Hemoglobin ranges in patients older than 11 years of both sexes 

Patient’s sex Age group
Adolescence Young adulthood Middle adulthood Older adulthood Total
Male Hemoglobin 6-12.9 g/dl n 13 6 7 15 41
13-17 g/dl % 17.9 7.9 7.2 10.3 9.8
n 62 70 95 132 359
% 82.1 92.1 92.8 89.7 90.2
Total N 75 76 102 147 400
% 100 100 100 100 100
Female Hemoglobin 6-11.9 g/dl n 52 40 46 45 183
% 51.9 39 29 28 35.2
12-16 g/dl n 48 63 111 115 337
% 48.1 61 71 72 64.8
Total N 100 103 157 160 520
% 100 100 100 100 100

Spearman’s rank correlation coefficient showed that, in general, making no difference between groups, there was a strong positive correlation between hemoglobin and hematocrit (Rho = 0.928) compared to hemoglobin and red blood cell count (Rho = 0.838). Likewise, a strong positive correlation between hemoglobin and hematocrit was observed in males and females, as well as between hemoglobin and red blood cell count, being this correlation higher in the male group (Table 3).

Table 3 Spearman’s rank correlation coefficient between hemoglobin and hematocrit and between hemoglobin and red blood cell count in apparently healthy patients in general, according to sex, who attended preventive-promotional health campaigns in the district of Villa El Salvador, 2020-2022 

Global Hematocrit Red blood cell
Hemoglobin Correlation coefficient 0.928** 0.838**
Sig. (two-tailed) 0 0
N 1.25 1.25
Sex Hematocrit Red blood cell
Male Correlation coefficient 0.933** 0.854**
Sig. (two-tailed) 0 0
N 550 550
Female Correlation coefficient 0.902** 0.789**
Sig. (two-tailed) 0 0
N 700 700

** Correlation is significant at the 0.01 level (two-tailed).

*Correlation is significant at the 0.05 level (two-tailed).

The correlation between hemoglobin and hematocrit was high and positive in all female age groups; on the other hand, the correlation between hemoglobin and red blood cell count was moderate and positive in the 1-10 and 11-17 year old groups and high in the young adulthood, middle adulthood and older adulthood groups (Table 4).

Table 4 Spearman’s rank correlation coefficient between hemoglobin and hematocrit and between hemoglobin and red blood cell count in apparently healthy females, according to age group, who attended preventive-promotional health campaigns in the district of Villa El Salvador, 2020-2022 

Hematocrit Red blood cell
Toddlerhood and childhood Correlation coefficient 0.948** 0.525**
Sig. (two-tailed) 0 0
N 180 180
Adolescence Correlation coefficient 0.806** 0.624**
Sig. (two-tailed) 0 0.006
N 100 100
Young adulthood Correlation coefficient 0.912** 0.901**
Sig. (two-tailed) 0 0
N 103 103
Middle adulthood Correlation coefficient 0.864** 0.861**
Sig. (two-tailed) 0 0
N 157 157
Older adulthood Correlation coefficient 0.901** 0.878**
Sig. (two-tailed) 0 0
N 160 160

** Correlation is significant at the 0.01 level (two-tailed).

*Correlation is significant at the 0.05 level (two-tailed).

The correlation analysis according to the male age group showed a high and almost perfect positive correlation in the 1-10 year old group; correlations between hemoglobin and hematocrit and between hemoglobin and red blood cell count were high and positive in all groups except in the 1-10 year old group, in which a moderate and positive correlation between hemoglobin and red blood cell count was found (Table 5).

Table 5 Spearman’s rank correlation coefficient between hemoglobin and hematocrit and between hemoglobin and red blood cell count in apparently healthy males, according to age group, who attended preventive-promotional health campaigns in the district of Villa El Salvador, 2020-2022 

Hematocrit Red blood cell
Toddlerhood and childhood (1 to 10 years old) Correlation coefficient 0.937** 0.597**
Sig. (two-tailed) 0 0
N 150 150
Adolescence (11 to 17 years old) Correlation coefficient 0.798** 0.905**
Sig. (two-tailed) 0 0
N 75 75
Young adulthood (18 to 39 years old) Correlation coefficient 0.827** 0.920**
Sig. (two-tailed) 0 0
N 76 76
Middle adulthood (40 to 59 years old) Correlation coefficient 0.815** 0.798**
Sig. (two-tailed) 0 0
N 102 102
Older adulthood (60 years old or older) Correlation coefficient 0.915** 0.944**
Sig. (two-tailed) 0 0
N 147 147

** Correlation is significant at the 0.01 level (two-tailed).

*Correlation is significant at the 0.05 level (two-tailed).

Discussion

It was observed that a higher percentage of females had lower-than-normal hemoglobin levels than males. The reason for this is that iron deficiency anemia is usually more common in females than in males 18 because of menstrual losses (which may involve up to 20 mg of iron 19), pregnancy 20, blood loss such as in abnormal uterine bleeding, among others 21. Meanwhile, males are not exposed to these risk factors, with the exception of occult bleeding in the elderly, usually from the gastrointestinal tract 22, as well as disorders involving the intestinal absorption of vitamin B12 23.

A high and positive correlation between hemoglobin and hematocrit and between hemoglobin and red blood cell count was found in general and according to sex: specifically, a correlation close to one between hemoglobin and hematocrit. This agrees with a study by Nijboer (2007) that, although focused on establishing the correlation between hemoglobin and hematocrit in patients with different grades of acute blood loss due to trauma, showed that even in these conditions both hemoglobin and hematocrit behaved as almost identical parameters 24. Moreover, although there are studies that question the classic 3:1 hematocrit to hemoglobin ratio 25, the high correlation found in the aforementioned background (acute blood loss) and in the present study (healthy population) shows that they are almost identical parameters; therefore, the systematic use of both tests in preventive-promotional campaigns and screening studies in the general population could be discouraged. A high and positive correlation was also observed between hemoglobin and red blood cell count, which was slightly lower than the relationship between hemoglobin and hematocrit. Even though it could be reasonable to think that a higher correlation should exist because hemoglobin is a hemoprotein found in red blood cells of human beings from the development of the embryonic yolk sac 26, different types of hemoglobin with different affinity for oxygen or carbon dioxide, such as methemoglobin, carboxyhemoglobin, glycated hemoglobin, among others, could slightly decrease the statistical correlation 27.

It was observed that the correlation between hemoglobin and red blood cell count was high and positive in all adult groups of both sexes but moderate in females younger than 18 years and boys younger than 11 years. This agrees with Ahmad (2020), who identified a moderate and positive correlation between hemoglobin and hematocrit in a study aimed at assessing the correlation between blood count variables among children from a school in Rabwah, Pakistan 28. Because hemoglobin is a hemoprotein physiologically bound to red blood cells, it can be stated that increased hemoglobin is related—by yet unclear mechanisms—to a smaller increase in red blood cells among infants, toddlers and children. This could probably be attributed, for example, to the fact that fetal hemoglobin (with shorter life span and oxygen-carrying capacity) is still found in infants, persisting until about 6 months of age 29. In addition, erythrocyte production in early life stages and part of childhood may be considered in almost every bone in the body 30, which could imply a large production of less mature erythrocytes than those of later life stages.

The limitations of this study were the lack of randomization, as patients were selected on a first-come, first-served basis. Moreover, since the study was limited to measuring degrees of correlation, it was not possible to define the presence and types of anemia based on hemoglobin, hematocrit or red blood cell count in the study patients.

In conclusion, hemoglobin levels are positively and highly correlated with hematocrit in males and females of all ages. Likewise, hemoglobin correlates moderately and positively with red blood cell count in females younger than 18 years and boys younger than 11 years. The results suggest that simultaneous hemoglobin and hematocrit testing may be unnecessary in screening and preventive-promotional campaigns on anemia conducted in large population groups. Likewise, with respect to the correlation between hemoglobin and red blood cell count, further research is needed to deepen the reasons why correlation goes from moderate to high in the age groups of both sexes.

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Funding sources: This article was funded by the author.

Received: June 26, 2022; Revised: July 08, 2022; Accepted: July 27, 2022

Corresponding author: Alberto Guevara Tirado Address: Calle Doña Delmira manzana E lote 4, Urbanización Los Rosales, Santiago de Surco. Lima, Perú. Telephone: +51 978 459 469 E-mail: albertoguevara1986@gmail.com

Author contributions: The author contributed to the research conception and design; data collection, analysis and interpretation; as well as to the drafting and final approval of the manuscript.

Conflicts of interest: The author declares no conflicts of interest.

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