Open Access

Red blood cell distribution width is not correlated with preeclampsia among pregnant Sudanese women

  • Hala Abdullahi1,
  • Ameer Osman1,
  • Duria A Rayis1,
  • Gasim I Gasim2,
  • Abdulmutalab M Imam1 and
  • Ishag Adam1, 2Email author
Diagnostic Pathology20149:29

DOI: 10.1186/1746-1596-9-29

Received: 5 December 2013

Accepted: 18 December 2013

Published: 5 February 2014

Abstract

Background

Preeclampsia is a leading cause of maternal and perinatal mortality worldwide. The exact etiology of preeclampsia is unknown, but the inflammatory process is postulated as one of the etiologies. Red blood cell distribution width (RDW) is a measure of anisocytosis (variation of red cell size) and is associated with hypertension and diabetic ketoacidosis. There are few data on the association between RDW and preeclampsia. This study aimed to investigate the association between RDW and preeclampsia.

Methods

A case–control study was conducted at Khartoum Hospital, Sudan, during June to August 2012. Cases were women with preeclampsia and healthy women were controls. Sociodemographic characteristics, obstetrics, and clinical data were recorded. The complete blood count, including RDW, was measured using an automated hematology analyzer.

Results

The cases and controls (65 women in each arm) were matched in their basic characteristics. There was no difference in the mean (SD) RDW between women with preeclampsia and controls (14.5 ± 1.8% vs. 14.4 ± 1.4%, P = 0.710). There was also no difference in the mean RDW between women with mild and severe preeclampsia (14.7 ± 1.9% vs. 13.9 ± 1.4%, P = 0.144. In logistic regression, there was no association between RDW and preeclampsia (OR = 0.9, CI = 0.7–1.1, P = 0.952).

Conclusions

RDW levels are not associated with the presence or severity of preeclampsia.

Virtual slides

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Keywords

Preeclampsia Red cell distribution width Pregnancy Sudan

Background

Preeclampsia is a leading cause of maternal and perinatal mortality worldwide[1]. The exact underlying pathology for the development of preeclampsia is not yet completely understood. Placental pathology causing preeclampsia has been suggested, with inadequate cytotrophoblast invasion and widespread maternal endothelial dysfunction[2]. Increased erythropoietic stimulation associated with underlying placental hypoxia has been observed in preeclampsia[3].

Red cell distribution width (RDW) is a parameter, which is usually evaluated in a fully automated hematology analyzer, as part of the complete blood count. RDW is a marker of anisocytosis (red cell size variation). RDW can reflect early changes in red blood cells, and these are accompanied by iron deficiency anemia, and have been shown to have a high sensitivity at detecting anemia[4, 5].

Recent research has shown that RDW is higher in pre-hypertension and hypertension in the non-pregnant population[6]. Furthermore, highly significant associations have been described between RDW values and diabetic ketoacidosis, cardiovascular and thrombotic disorders, and cardiac mortality in patients with coronary artery disease, acute and chronic heart failure, and stroke[7, 8]. However, the vast majority of the data on RDW and hypertension are on the non-pregnant population, with few data on RDW and preeclampsia[9].

Therefore, the current study was conducted to investigate the association between RDW and preeclampsia at Khartoum Hospital, Sudan. This study aimed to add to the knowledge on pathogenesis on preeclampsia[1013] and examine the diagnostic value of RDW in various diseases in this setting (Sudan)[14]. In Sudan, there is an extremely high maternal mortality, with preeclampsia/eclampsia accounting for 4.2% of obstetric complications and 18.1% of maternal deaths[15, 16].

Methods

A case–control study was carried out at Khartoum Hospital, Sudan, during June to August 2012. Khartoum Hospital is a tertiary hospital serving the local community and receiving medical referrals from other parts of Sudan. After signing an informed consent, women carrying a singleton pregnancy were enrolled. A case was defined as a woman with preeclampsia who was diagnosed according to the criteria of the international society for the study of hypertension in pregnancy[17]: a diastolic blood pressure of ≥90 mmHg measured 4 hours apart, plus proteinuria of more than 1+ by dipsticks or a 24-hour urine level ≥300 mg. Cases were further divided into mild and severe preeclampsia according to diastolic blood pressure <110 or ≥110 mmHg. Pregnant women with multiple pregnancies or medical disorders, such as diabetes mellitus or inflammatory conditions, were excluded. The control group included healthy pregnant women with no known medical or obstetric complications. A pre-tested questionnaire was used to gather data from each woman in cases and control groups. The women’s age, parity, and gestational age were recorded. Weight and height were measured, and body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. The maternal complete blood count was measured for all women using an automated hematology analyzer as previously described[14, 18, 19].

A sample size of 65 subjects in each arm of the study was calculated using the OpenEpi-Epidemiological calculator with 80% power and a confidence interval of 95% to detect a difference of 5% at α = 0.05, with 10% of non-respondents/incomplete data.

Ethical approval for the study was obtained from the Khartoum Hospital Ethical Board.

Statistics

Data were analyzed using SPSS version 20 for Windows (SPSS Inc., Chicago, IL, USA). Mean (SD) and proportions of the variables were compared using the Student’s t-test and χ2 test, respectively. A P value <0.05 was considered significant. Logistic regression analysis was used to assess the factors associated with preeclampsia as the dependent factor, and age, parity, RDW, platelets, and WBC count as independent factors.

Results

A total of 130 women (65 in each arm) were enrolled in the study. The two groups were well matched in their basic characteristics, with no significant differences in mean age, parity, and BMI. There were also no differences in mean hemoglobin concentration, platelet count, and white cell count between the case and control groups (Table 1).
Table 1

The mean (SD) of the characteristics of women with preeclampsia and controls

Variables

Women with preeclampsia

Controls

P

(n = 65)

(n = 65)

Age, years

29.6 (5.4)

29.1(4.6)

0.604

Parity

2.8(1.8)

2.7(1.9)

0.882

Body mass index kg/2 cm

23.8(2.1)

24.2(1.8)

0.245

Hemoglobin, g/dl

11.4(1.4)

11.7(1.2)

0.192

Platelets × 103 μL

220153(8477)

221752(6899)

0.906

White blood cell × 103 μL

7489 (3308)

8000(2204)

0.906

There were no differences in age, parity, BMI, hemoglobin concentration, platelet count, and white blood cells between women with mild preeclampsia and those with severe. However, the platelet count was significantly lower in women with severe preeclampsia than in those with mild preeclampsia (P < 0.001, Table 2).
Table 2

The mean (SD) of the of characteristics of women with mild and severe preeclampsia

Variables

Women with mild preeclampsia (n = 15)

Women with severe preeclampsia (n = 50)

P

Age, years

29.8 (5.1)

28.9 (5.2)

0.563

Parity

2.7 (1.5)

3.3 (2.4)

0.238

Body mass index kg/2 cm

23.6 (2.6)

24.4 (1.8)

0.195

Hemoglobin, g/dl

10.4 (1.3)

10.7 (1.5)

0.760

Platelets × 103 μL

243760 (8141)

141466 (31999)

<0.001

White blood cell × 103 μL

7388 (4089)

7826 (4089)

0.657

There was no difference in the mean (SD) RDW between women with preeclampsia and controls 14.5 ± 1.8% vs. 14.4 ± 1.4%, P = 0.710, Figure 1). There was no difference in the mean RDW between women with mild and severe preeclampsia 14.7 ± 1.9% vs. 13.9 ± 1.4%, P = 0.144, Figure 2).
https://static-content.springer.com/image/art%3A10.1186%2F1746-1596-9-29/MediaObjects/13000_2013_Article_927_Fig1_HTML.jpg
Figure 1

Comparison of red cell distribution width levels in the preeclampsia and control groups.

https://static-content.springer.com/image/art%3A10.1186%2F1746-1596-9-29/MediaObjects/13000_2013_Article_927_Fig2_HTML.jpg
Figure 2

Comparison of red cell distribution width levels in the preeclampsia and control groups.

In logistic regression, there was no association between RDW and preeclampsia (odds ratio = 0.9, confidence interval = 0.7–1.1, P = 0.952, Table 3).There was no correlation between RDW and systolic blood pressure, Figure 3.
Table 3

Factors associated with preeclampsia using univariate and multivariate analyses

 

Univariate analyses

Multivariate analyses

Variable

OR 95% CI P

OR 95% CI P

Age

0.9 0.9–1.0 0.601

0.9 0.9–1.0 0.468

parity

0.9 0.8–1.1 0.881

1.0 0.8–1.2 0.959

Platelets

1.0 0.9–1.0 0.905

1.0 0.9– 1.0 0.938

Red cell distribution width

0.9 0.7–1.2 0.961

0.9 0.7–1.1 0.952

White blood cells

1.0 0.9 –1.2 0.942

1.0 0.9–1.2 0.262

OR = Odds ratio, CI = confidence interval.

https://static-content.springer.com/image/art%3A10.1186%2F1746-1596-9-29/MediaObjects/13000_2013_Article_927_Fig3_HTML.jpg
Figure 3

Correlation between RDW and systolic blood pressure.

Discussion

The current study showed no difference in RDW between women with preeclampsia and controls. There was also no difference in RDW between women with mild and severe preeclampsia. In addition, in the current study, there was no correlation between RDW and preeclampsia.

Recently, Keskin and colleagues observed that RDW was significantly higher in the women with preeclampsia and RDW was associated with the severity of preeclampsia[9]. There are few data on the influence of normal pregnancy on RDW, but a high RDW between 34 weeks of gestation and the onset of labor has been reported[20]. RDW has been recently observed to be associated with hypertension and it is an indicator of poor prognosis in acute myocardial infarction and heart failure[6, 2123]. Although the mechanism of the relationship between RDW and hypertension is not clearly understood, increased inflammation is the most plausible theory[24]. Interestingly, the above mentioned increased inflammation theory of RDW and hypertension has recently been supported by a positive correlation between C reactive protein and RDW levels in preeclamptic women[9]. Inflammation might increase RDW levels via impairment of iron metabolism and disruption of the response to erythropoietin. This could cause immature erythrocytes to enter the circulation by impairing erythrocyte maturation[25, 26].

Recently, a variety of studies have supported that RDW might be a useful parameter for gathering useful information, either diagnostic or prognostic, in different diseases[68]. However, it is still unclear whether anisocytosis (reflected by RDW) might be the cause, or a simple epiphenomenon of an underlying disease, or perhaps an element of both. Nevertheless, RDW is an easy, inexpensive, routinely reported investigation, which might allow the acquisition of significant diagnostic and prognostic information in patients with hypertension and preeclampsia.

The limitations of the current study are that iron, vitamins (including folic acid), and trace elements were not investigated. We have previously shown a high level of deficiency in these elements among pregnant Sudanese women[13, 27], and their deficiency might be responsible for preeclampsia or RDW. Furthermore the previous finding of ascoaition between severe anemia and preeclampsia might need further investigation[11].

Conclusion

In this study we show that RDW levels are not associated with the presence or severity of preeclampsia.

Declarations

Authors’ Affiliations

(1)
Department of Obstetrics and Gynecology, Faculty of Medicine, University of Khartoum
(2)
College of Medicine, Qassim University

References

  1. Duley L: The global impact of pre-eclampsia and eclampsia. Semin Perinatol. 2009, 33: 30-37.View ArticleGoogle Scholar
  2. Wang A, Rana S, Karumanchi S: A: preeclampsia: the role of angiogenic factors in its patho- genesis. Physiology (Bethesda). 2009, 24: 147-158.View ArticleGoogle Scholar
  3. Troeger C, Holzgreve W, Ladewig A, Zhong XY, Hahn S: Examination of maternal plasma erythropoietin and activin A concentrations with regard to circulatory erythroblast levels in normal and preeclamptic pregnancies. Fetal Diagn Ther. 2006, 21: 156-160.PubMedView ArticleGoogle Scholar
  4. Aulakh R, Sohi I, Singh T, Kakkar N: Red cell distribution width [RDW] in the diagnosis of iron deficiency with microcytic Hypochromic Anemia. Indian J Pediatr. 2009, 76: 265-267.PubMedView ArticleGoogle Scholar
  5. Sultana GS, Haque SA, Sultana T, Rahman Q, Ahmed ANN: Role of red cell distribution width [RDW] in the detection of iron deficiency anemia in pregnancy within the first 20 weeks of gestation. Bangladesh Med Res Counc Bull. 2011, 37: 102-105.PubMedView ArticleGoogle Scholar
  6. Tanindi A, Topal FE, Topal F, Celik B: Red cell distribution width in patients with prehypertension and hypertension. Blood Press. 2012, 21: 177-181.PubMedView ArticleGoogle Scholar
  7. Montagnana M, Cervellin G, Meschi T, Lippi G: The role of red blood cell distribution width in cardiovascular and thrombotic disorders. Clin Chem Lab Med. 2011, 50: 635-641.PubMedGoogle Scholar
  8. Liu DS, Jin Y, Ma SG, Bai F, Xu W: The ratio of red cell distribution width to mean corpuscular volume in patients with diabetic ketoacidosis. Clin Lab. 2013, 59: 1099-1104.PubMedGoogle Scholar
  9. Keskin Kurt R, Aras Z, Silfeler DB, Kunt C, Islimye M, Kosar O, Preeclampsia S o: Relationship of red cell distribution width with the presence and severity of preeclampsia. Clin Appl Thromb Hemost published online. 2013, in pressGoogle Scholar
  10. Bueno AA, Ghebremeskel K, Bakheit KH, Elbashir MI, Adam I: Dimethyl acetals, an indirect marker of the endogenous antioxidant plasmalogen level, are reduced in blood lipids of Sudanese pre-eclamptic subjects whose background diet is high in carbohydrate. J Obstet Gynaecol. 2012, 32: 241-246.PubMedView ArticleGoogle Scholar
  11. Ali AA, Rayis DA, Abdallah TM, Elbashir MI, Adam I: Severe anaemia is associated with a higher risk for preeclampsia and poor perinatal outcomes in Kassala hospital, eastern Sudan. BMC Res Notes. 2011, 26: 4-311.Google Scholar
  12. Bakheit KH, Bayoumi NK, Eltom AM, Elbashir MI, Adam I: Cytokines profiles in Sudanese women with preeclampsia. Hypertens Pregnancy. 2009, 28: 224-9.PubMedView ArticleGoogle Scholar
  13. Bakheit KH, Ghebremeskel K, Zaiger G, Elbashir MI, Adam I: Erythrocyte antioxidant enzymes and plasma antioxidant vitamins in Sudanese women with pre-eclampsia. J Obstet Gynaecol. 2010, 30: 147-50.PubMedView ArticleGoogle Scholar
  14. Abdelrahman EG, Gasim GI, Musa IR, Elbashir LM, Adam I: Red blood cell distribution width and iron deficiency anemia among pregnant Sudanese women. Diagn Pathol. 2012, 7: 168-PubMedPubMed CentralView ArticleGoogle Scholar
  15. Ali AA, Adam I: Lack of antenatal care, education, and high maternal mortality in Kassala hospital, eastern Sudan during 2005–2009. J Matern Fetal Neonatal Med. 2011, 24: 1077-1078.PubMedView ArticleGoogle Scholar
  16. Ali AA, Okud A, Khojali A, Adam I: High incidence of obstetric complications in Kassala hospital, eastern Sudan. J Obstet Gynaecol. 2012, 32: 148-149.PubMedView ArticleGoogle Scholar
  17. ACOG practice bulletin: Diagnosis and management of preeclampsia and eclampsia. Obstet Gynecol. 2002, 99: 159-167.View ArticleGoogle Scholar
  18. Sysmex KX-21 N Operator’s Manual: Sysmex Corporation. 2006,http://www.blockscientificstore.com/Sysmex-KX-21N-Hematology-Analyzer-p/sysmex-kx-21.htm,Google Scholar
  19. Adam I, Ahmed S, Mahmoud MH, Yassin MI: Comparison of HemoCue® hemoglobin-meter and automated hematology analyzer in measurement of hemoglobin levels in pregnant women at Khartoum hospital, Sudan. Diagn Pathol. 2012, 21: 7-30.Google Scholar
  20. Shehata HA, Ali MM, Evans-Jones JC, Upton GJ, Manyonda IT: Red cell distribution width [RDW] changes in pregnancy. Int J Gynaecol Obstet. 1998, 62: 43-6.PubMedView ArticleGoogle Scholar
  21. Al-Najjar Y, Goode KM, Zhang J, Cleland JG, Clark AL: Red cell distribution width: an inexpensive and powerful prognostic marker in heart failure. Eur J Heart Fail. 2009, 11: 1155-1162.PubMedView ArticleGoogle Scholar
  22. Patel KV, Ferrucci L, Ershler WB, Longo DL, Guralnik JM: Red blood cell distribution width and the risk of death in middle-aged and older adults. Arch Intern Med. 2009, 169: 515-523.PubMedPubMed CentralView ArticleGoogle Scholar
  23. Isik T, Kurt M, Ayhan E, Tanboga IH, Ergelen M, Uyarel H: The impact of admission red cell distribution width on the development of poor myocardial perfusion after primary percutaneous intervention. Atherosclerosis. 2012, 224: 143-149.PubMedView ArticleGoogle Scholar
  24. Ozcan F, Turak O, Durak A, Işleyen A, Uçar F, Giniş Z, Uçar F, Başar FN, Aydoğdu S: Red cell distribution width and inflammation in patients with non-dipper hypertension. Blood Press. 2013, 22: 80-85.PubMedView ArticleGoogle Scholar
  25. Pierce CN, Larson DF: Inflammatory cytokine inhibition of erythropoiesis in patients implanted with a mechanical circulatory assist device. Perfusion. 2005, 20: 83-90.PubMedView ArticleGoogle Scholar
  26. Weiss G, Goodnough LT: Anemia of chronic disease. N Engl J Med. 2005, 352: 1011-1023.PubMedView ArticleGoogle Scholar
  27. Abdelrahim II, Mahgoub HM, Mohamed AA, Ali NI, Elbashir MI, Adam I: Anaemia, folate, zinc and copper deficiencies among adolescent schoolgirls in eastern Sudan. Biol Trace Elem Res. 2009, 132: 60-66.PubMedView ArticleGoogle Scholar

Copyright

© Abdullahi et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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