Journal List > Korean J Hematol > v.42(4) > 1032747

Kim, Kim, Kim, Son, and Cho: Free Erythrocyte Protoporphyrin for Diagnosis of Iron Deficiency and Iron Deficiency Anemia in Adolescent Female Athletes

Abstract

Background:

If hemoglobin (Hb) synthesis is impaired by factors other than a deficiency in free erythrocyte protoporphyrin (FEP) synthesis, the amount of FEP might be increased. In this study, we analyzed the statistical values and contribution of FEP for the monitoring and diagnosis of iron deficient anemia in adolescent female athletes according to various sports.

Methods:

We collected whole blood from 64 adolescent female athletes 13 to 19 years of age. The FEP was measured fluorometrically. After other hematological indices were evaluated, statistical analysis was performed to compare the data among various athletes.

Results:

The mean age was 14.8±1.7 (13∼19) years old. The number of runners, badminton players and shooting athletes were 46.9% (n=30), 12.5% (n=8) and 40.6% (n=26), respectively. The prevalence of anemia, iron deficiency and iron deficiency anemia were 23.4%, 23.4% and 14.0%, respectively. The measured concentration of FEP was 48.7±21.1μg/dL (12∼125). A moderately negative correlation of Hb and FEP was noted and was found to be statistically significant (r=?0.571, P<0.001). Among serum ferritin, TS and FEP, there was no statistically significant correlation. For the diagnosis of iron deficiency anemia, FEP was the most statistically significant index (P<0.001). For iron deficiency, sensitivity, specificity, positive predictive value, and negative predictive value were 88.9%, 30.4%, 33.3%, and 87.5%, respectively. The receiver operating characteristic curves, showed that FEP had excellent diagnostic power to detect iron deficiency. There was a significant difference in the prevalence of iron deficiency among the three athletes, with runners and badminton players tending to be affected more frequently with iron deficiency than static athletes such as the shooters (runners and badminton vs. shooting athletes, 33.3% and 25.0% vs. 19.2%).

Conclusion:

Our results confirmed FEP to be the most significant factor for the diagnosis of iron deficiency in athletes. Proper nutritional counseling and monitoring need to be tailored to various sports, especially in terms of static versus nonstatic sports such as runners and badminton players versus shooting athletes.

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Fig. 1
Negative correlation between hemoglobin and free erythrocyte protoporphyrin. ∗ r is a Pearson correlation coefficient, P<0.001. Hb, hemoglobin; FEP, free erythrocyte protoporphyrin.
kjh-42-367f1.tif
Fig. 2
Dot matrix plot of free erythrocyte protoporphrin, ferritin, and tranferrin saturation.
kjh-42-367f2.tif
Fig. 3
The receiver operating characteristic (ROC) curves of free erythrocyte protoporphyrin and ferritin in adolescent female athletes with lron deficienty. ∗AUROC, the area under an receiver operating characteric curve; FEP, free erythrocyte protoporphyrin.
kjh-42-367f3.tif
Table 1.
Age and hematologic characteristics in adolescent female athletes
  Runners (n=30) Badminton players (n=8) Shooting players (n=26) P-value
Age (years) 14.9±1.7 16.3±2.5 14.4±1.0 0.064
Hb∗ (g/dL) 12.3±1.2 13.1±1.6 13.4±0.8 0.002
Ferritin (ng/dL) 18.3±10.5 18.6±8.8 21.1±1.8 0.061
TS (%) 26.1±14.3 26.3±15.3 25.5±13.1 0.097
FEP(μg/dL) 54.8±25.3 50.8±19.4 41.1±12.7 0.048

Data are mean±standard deviation. Abbreviations: ∗Hb, hemoglobin;

TS, transferrin saturation;

FEP, free erythrocyte protoporphyrin.

Table 2.
Iron status in adolescent female athletes
  Criteria Prevalence % (n)
Anemia Hb∗<12g/dL 23.4 (15)
Iron deficiency Ferritin<12ng/dL 23.4 (15)
IDA   14.0 (9)
NHANES III   26.6 (17)
FEP§ (μg/dL) FEP≥36μg/dL 73.4 (47)

Abbreviations: ∗Hb, hemoglobin;

IDA, iron deficiency anemia: anemia and (1) ferritin <12ng/dL, or (2) TS<16%;

NHANES III, National Health and Nutrition Examination Survey III: Two or more indices should be required for diagnosis of ID among serum ferritin, TS, and FEP;

§ FEP, agnosis of ID among serum ferritin, TS, and FEP; free erythrocyte protoporphyrin.

Table 3.
Summary of the multiple regression model with contribution for the diagnosis of iron deficiency anemia
Model Unstandardized coefficients Standardized coefficients t Sig. Collinearity statistics
B Sth. error Beta Tol.∗ VIF
Constant 14.325 0.545   26.297 0.000    
FEP ?0.033 0.007 ?0.558 ?4.989 0.000 0.894 1.118
Ferritin 0.001 0.013 0.010 0.088 0.930 0.902 1.108
TS 0.004 0.010 0.046 0.421 0.675 0.938 1.067
R2=0.328 Adjusted R2=0.294 F=9.763 P≒0.000      

Abbreviations: ∗Tol., tolerance;

VIF, variance information factor.

Table 4.
NHANES III-based iron status according to the groups
FEP Runners (n=30) Badminton players (n=8) Shooting players (n=26)
ID∗ IDA ID IDA ID IDA
n (%) n (%) n (%) n (%) n (%) n (%)
≥36mg/dL 9 (30.0) 6 (20.0) 2 (25.0) 2 (25.0) 4 (15.4) 1 (3.8)
<36mg/dL 1 (3.3) 0 (0) 0 (0) 0 (0) 1 (3.8) 0 (0)
Total 10 (33.3) 6 (20.0) 2 (25.0) 2 (25.0) 5 (19.2) 1 (3.8)

Abbreviations: ∗ID, iron deficiency;

IDA, iron deficiency anemia. P≒0.045

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