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Incidence and predictors of iron deficiency anaemia in parturients undergoing elective caesarean section at a tertiary hospital in New Zealand: a retrospective, observational cohort study



Worldwide, iron deficiency anaemia in pregnancy is a significant problem which can be especially problematic when delivery is by caesarean section, a procedure associated with significant blood loss. Optimising iron stores pre-delivery remains an overarching goal. We aim to measure the incidence of iron deficiency anaemia in patients undergoing elective caesarean section at our institution and determine any associated predictors, as well as adverse outcomes.


A retrospective, observational cohort study of patients presenting for elective caesarean section over a two-year period. Patient data was collected from hospital electronic records. Iron deficiency anaemia was defined a haemoglobin < 110 g/L and a ferritin < 30 μg/L in the three-month period prior to delivery. The primary aim was to establish the incidence of iron deficiency anaemia at the time of delivery and any associated predictors. Secondary outcomes included any association between the primary outcome and complications defined by the hospital discharge complication coding system, as well as an evaluation of the number of blood tests carried out antenatally per trimester.


One thousand and ninety-three women underwent caesarean section over the study period and 16.2% had iron deficiency anaemia. Patients with iron deficiency anaemia were more likely to be of Māori and Pacific Island ethnicity, have a greater booking body mass index, be younger and have a greater parity. Pre-operative anaemia was associated with a greater likelihood of post-operative blood transfusion.


There remains potential for optimisation of iron deficiency anaemia in our local population undergoing elective caesarean section.

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Pregnancy-related iron deficiency (ID) and iron deficiency anaemia (IDA) remain a significant problem worldwide [1]. IDA can lead to significant morbidity for both the parturient and her baby including increased rates of post-partum infection, blood transfusion and post-natal depression, as well as preterm birth and lower neonatal birth weights [2, 3]. Iron is essential for many physiological processes and requirements increase during high metabolic states, such as pregnancy. As such, patients with reduced iron stores prior to pregnancy can progress to frank IDA as their gestation increases.

More than 20 million women worldwide undergo caesarean section (CS) annually, and the procedure can be associated with significant blood loss [4]. Therefore, determining the impact of pre-existing IDA is particularly important. Optimisation of iron stores is increasingly recognised as one way of reducing risk in surgical patients, both by correcting IDA and by avoiding allogenic blood transfusion. A haemoglobin (HB) level of < 110 g/L is still the most established cut-off for defining anaemia in pregnancy, although this has been challenged, given that higher HB targets are used in the non-obstetric population, commonly 120 g/L [5, 6]. In order to optimise HB levels in the pregnant population it is important that practitioners recognise the burden of IDA and specific patient demographics in their community.

The primary aim of this study is to establish the incidence of IDA in South Auckland in patients undergoing elective CS and to determine the predictors which are associated with IDA. Secondary aims include any associated adverse outcomes following CS in those with IDA compared to those without. In addition, we will evaluate the number of blood tests carried out per trimester to audit our own practice and assess whether we are optimally identifying women with IDA. We will also identify the proportion of patients who received iron therapy pre-operatively to optimise iron stores. Oral iron is not routinely recommended at our institution unless there is evidence of iron deficiency and its management follows local guidelines, which are further elucidated in Additional file 1.

We believe our findings provide a recent point of comparison as to the incidence, predictors and implications of IDA in women undergoing elective CS. This information is useful for other centres, not only for the presented incidence of IDA and ID, but also for the data surrounding the number of women receiving the appropriate blood tests in the antenatal period. The population of South Auckland is unique with the large numbers of Māori and Pacific peoples who may have considerable medical comorbidities in addition to metabolic demands of pregnancy. This may provide an interesting insight for those reading this paper in other countries.


The STROBE checklist was used to structure this study [7]. An out of scope exemption was granted by the New Zealand Health and Disability Ethics Committee. Approval was obtained from Counties Manukau Health and the hospital’s Woman’s Health Research Committee. Counties Manukau Health serves a population of more than 500,000 residents. The region is ethnically diverse and is home to the second largest Māori population and the largest population of Pacific Islanders with almost 40% of the populace born outside of New Zealand [8]. Each year in our institution approximately 6500 parturients deliver with 27% of women undergoing CS, of which close to one third are elective.

This is a retrospective, observational cohort study of patients presenting for elective CS at Counties Manukau Health in Auckland, New Zealand, between the 1st January 2017 and 31st December 2018. This study period was chosen in order to provide a sufficiently large sample size for analysis and recent data that would be relevant to our current and evolving practice. To help minimise selection bias, the inclusion criteria was any patient delivering by elective CS during these dates. The study assessed only elective, rather than emergency, CS patients in an attempt to focus on those patients most likely to benefit from targeted pre-operative iron therapy. Patients were identified through their National Health Index (NHI) number using the Patient Information Management System (PiMS). Demographic, laboratory and outcomes data were collated from the hospitals electronic data warehouse, managed by the HealthAlliance. Attempts were made to address absent data by running additional searches through ancillary databases. These were limited to our own institution as we were unable to access results from external facilities. By focussing the study primarily on clearly defined laboratory and demographic data we hoped to minimise information bias, however, outcomes and iron therapy data could remain a potential source of information bias as they are reliant upon accurate documentation.

The specific variables and blood test results which were extracted are detailed in Additional file 2. Complications were identified using discharge ICD-10 codes and a review of medical records. These were defined a priori and are in agreement with the standards suggested by the COMPAC-StEP group [9]. The derivation of the ‘Obstetric Infection’ composite outcome is shown in Additional file 3.

Data are presented for the overall cohort then stratified by patients with valid HB and ferritin recordings. To correct for factors which were associated with anaemia on univariate comparisons in the overall cohort, propensity score matching was undertaken first with a logistic regression model then matching using a tolerance of 0.005 between the anaemic and non-anaemic groups. Analyses as per the overall cohort were repeated to assess the impact of anaemia on the primary and secondary outcomes once the identified confounders were corrected.

As per the current World Health Organisation (WHO) definition of anaemia in pregnancy, anaemia was defined as a HB < 110 g/L while ‘no anaemia’ was a HB ≥110 g/L. IDA was defined as a HB recording < 110 g/L and a ferritin < 30 μg/L within the three-month period prior to CS, while ID was defined as a ferritin recording within the same period of < 30 μg/L. Non-Anaemic Iron Deficiency (NAID) was defined as those with a ferritin < 30 μg/L and a HB ≥110 g/L and ‘normal’ was defined as having both a HB and ferritin ≥110 g/L and ≥ 30 μg/L. In those with multiple observations, the recording closest to surgery was used. Given the preponderance of iron deficiency anaemia, those with anaemia without iron deficiency were excluded.

The primary outcome was the incidence of IDA in patients undergoing elective CS. Secondary outcomes consisted of associations between IDA, demographic variables and complications. The comparison groups were the ‘normal’ and NAID cohorts, respectively. For completeness, statistical tests were completed between each of the three groups and p-values presented as appropriate. Prior to study conduct, a formal power calculation was not completed given the primary outcome was an estimate of the prevalence of iron deficiency anaemia in our population.

The number of blood tests for HB and iron studies by trimester were accessed and a comparison made between those with anaemia and no anaemia. This comparison was made as HB recordings were more frequent than ferritin levels and most protocols for iron therapy in pregnancy rely on a reduced HB level due to the prevalence of ID in pregnancy [10]. The incidence of anaemia was defined using the minimum reported HB value in those with more than one recording. Blood tests for the third trimester were defined as between 27 weeks’ gestation and 2 weeks prior to the CS date to allow time for iron therapy to be effective, if implemented. Trimesters were defined as the definitions of the National Institute of Child Health and Human Development [11].

Statistical analyses were completed in SPSS Version 26.0. Results are presented as number (percentage), median (interquartile range) as appropriate. Comparisons were made with the Fisher Exact test (two by two contingency tables) or the Chi square test with a Yates correction for categorical variables and the Mann Whitney U-test (between two outcomes) or the Kruskal-Wallis test (more than two outcomes) for continuous variables, respectively. Non-parametric statistical tests were used to maximise statistical power due to non-normal distribution of parameters. To allow for multiple statistical tests, a Šidák correction was applied to counteract the effect of multiple comparisons. The critical p-value is presented in the post-script of each of the tables, with significant p-values highlighted in bold.


Between the 1st January 2017 and 31st December 2018, 1093 women underwent elective CS. Of these, 933 (85.3%) had a HB recording within the 3 months before CS and 532 (48.7%) had both a HB and ferritin recording, see Table 1. In the overall cohort, 18.0% patients were anaemic. Of those anaemic patients, 48.7% also had a ferritin recording.

Table 1 Demographics Overall Cohort

Following adjustment for multiple tests, several differences were found between those with and without anaemia in the overall cohort. These are shown in Table 1. Propensity score matching using patient age, maternal ethnicity, Body Mass Index (BMI), maternal gravida and parity, plurality, gestation at birth and number of prior CS at a match tolerance of 0.005 yielded a match between 138 (83.6%) of anaemic to non-anaemic parturients, see Table 2. There were no differences in the baseline characteristics between the two groups. Those with anaemia had a lower HB following CS (P < 0.001) and were more likely to receive an allogenic blood transfusion (P < 0.001). Despite their lower post-surgical HB, the change in HB between the closest paired pre-operative and post-operative measurement was lower in the anaemic group (5 (− 2–11) versus 8 (1–14) g/L, P = 0.008), yet did not meet the corrected threshold for significance. There was no difference in critical care utilisation (P = 1.00), hospital length of stay (P = 0.77) or infectious complications (P = 0.60) between the propensity score matched groups.

Table 2 Propensity Score Match

In those with a valid HB and ferritin recording, and after excluding those with anaemia without ID, the incidence of IDA was 16.2%. The incidence of NAID was 56.1 and 27.7% had neither ID nor anaemia. Overall, 80.5% (83/103) of parturients with anaemia had IDA. The median overall preoperative HB was 121 g/L (interquartile range 113–128) and median ferritin was 19 (11–31)μg/L, see Table 3.

Table 3 Demographics of Patients with Valid Haemoglobin and Ferritin Recordings

Significant demographic differences were found between the IDA and those with normal HB and ferritin recordings, specifically, patient age (P = 0.002), body mass index (P = 0.001), ethnicity (P = 0.001), parity (P = 0.001) and singleton foetal weight (P = 0.002). See Additional file 4 for additional graphs relating to gravida and parity data. Those with IDA had a significantly lower baseline HB than either the normal or NAID groups (P < 0.001 for both comparisons). The ferritin levels were significantly different between the three groups with the lowest levels seen in those with IDA, higher levels in those with NAID and the greatest levels in the normal patients, which reflects the definitions of the respective conditions.

Post-operatively, those with IDA were more likely to be anaemic when compared to both the normal and NAID groups (P < 0.001 for both), see Table 4. The median post-operative HB was 99 (89–108)g/L in the IDA group vs 118 (109–127) in the normal group. The IDA group were also significantly more likely to receive a blood transfusion. There was no difference found in the rate of critical care utilisation or the number of infectious complications related to pregnancy between the three groups.

Table 4 Outcomes of Patients with Valid Haemoglobin and Ferritin Recordings

When parturient blood results were summated by trimester of pregnancy as defined in the methods, 27.6, 29.2 and 50.9% of patients in the first, second and third trimester, respectively, had at least one valid HB level identified, see Table 5. For ferritin, 18.9, 20.5 and 40.1% of parturients had valid measurements in the corresponding trimesters. There was no difference between the proportion of anaemic and non-anaemic parturients with valid HB or ferritin measurements at all time periods. The incidence of anaemia by trimester using a patient’s minimum recorded HB level in those with valid recordings was 7.3% (22/302, 1st trimester), 30.4% (97/319, 2nd trimester) and 34.2% (190/556, 3rd trimester).

Table 5 Iron Parameters

Similar numbers of patients received iron preparations between the anaemic and non-anaemic groups (P = 0.43). Those without anaemia at term were more likely to receive oral iron (P = 0.03), while those in the anaemic group received intravenous iron more frequently (P < 0.001). In the overall cohort, the utilisation of intravenous iron was 5.9%. Using differing standards to qualify for iron therapy led to increasing numbers of patients reaching theses thresholds in both the anaemic and non-anaemic groups, see Table 5.


To our knowledge, this is the first study from New Zealand which presents a complete data set in patients undergoing elective CS including the incidence of IDA, the complications associated with IDA and the rate of blood testing during the antenatal period. Most of data which exists, such as that from the WHO, focuses on women who are pregnant and does not stratify by the mode of delivery or by parturient ethnicity. Given the significant morbidity associated with complications following CS, the information presented provides some insight as to the effect of anaemia on parturients.

We have shown that the incidence of IDA in patients undergoing elective CS at our institution is 16.2%, which is in keeping with pre-existing data for New Zealand [12]. NAID was also common at 56.1%. The median preoperative ferritin level was 19 μg/L and 10 μg/L in the IDA group. There were several predictors of IDA including those with an increased booking BMI, younger parturients, who had delivered more children previously and those of New Zealand Māori or Pacific Island ethnicity. Patients who had IDA preoperatively were significantly more likely to be anaemic postoperatively and received more allogenic blood transfusions.

Following propensity score matching, the IDA and ‘normal’ cohorts were balanced with regards to patient age, gravida and parity, ethnicity and number of prior deliveries. Those with IDA pre-delivery remained more likely to be anaemic following delivery and received blood transfusions more frequently. Interestingly, our study found an association between women with IDA and greater singleton foetal weight, which is contrary to the existing literature that highlights maternal anaemia as a key risk factor for lower birth weight [13]. It is likely that the contradictory association found in this study is a result of confounders. The anaemia and IDA cohort in this study had a greater proportion number of parturients of Māori and Pacifica ethnicities, which are populations associated with greater rates of diabetes and obesity [14]. This, in turn, could explain the higher birth weights observed as a result of pregnancy-induced diabetes.

The crude incidence of anaemia from all causes increased as the antenatal period progresses, from 7.3% in the first trimester to 34.2% in the third trimester. These values are greater than those reported at term as many patients had their HB measured on multiple occasions, perhaps to monitor the effect of oral iron therapy. The median HB at the time of delivery was 121 g/L. As it stands, in the 3rd trimester up to 2 weeks prior to surgery, approximately 50% of patients had a valid HB level and 40% a valid ferritin, an interval which is likely the minimum window for intravenous iron supplementation to be effective. These results are indicative of a patient population where there is a significant opportunity to optimise iron stores and HB prior to delivery. Although these data looked at all cause anaemia, we have shown that upwards of 80% is explained by ID in our cohort. Attempts were made to identify alternative causes of anaemia, such as vitamin deficiency, chronic inflammatory disease or thyroid problems, however, there were limited laboratory data obtained during pregnancy to conclusively identify these states. On review of discharge ICD-10 coding, these diagnoses were infrequently observed meaning that for approximately 20% of patients, no cause for their anaemia was identified. Alternative risk factors for anaemia, such as diet were not included in the study data set and would be difficult to assess accurately using the study methodology. Explanations such as recent blood donation or post-traumatic / post-surgical anaemia would also seem less likely.

It is well established that ID and IDA in pregnancy is associated with sequelae to both the mother and child [15,16,17,18]. Those with IDA were exposed to transfusion more frequently, which can lead to increased rates of Rhesus alloimmunisation, impaired healing and sepsis [19]. Although we were unable to demonstrate this finding, perhaps due to the low rates of transfusion and infectious complications, the strong relationship between anaemia and transfusion should be at the forefront of practitioners minds when considering treatment for mild to moderate anaemia in both obstetric and non-obstetric populations.

Iron plays an important role in cognition, development and emotional states, and the adverse effects of IDA may be subtle [20,21,22]. In multiple groups, associations exist between ID and depression [23, 24]. One randomised study has shown that early iron supplementation in pregnant women improves iron reserves and significantly reduced rates of post-partum depression [23]. In addition to low iron stores, a HB level of less than 120 g/L is a recognised predictor for developing post-partum depression [25].

Although the WHO recommends supplemental daily dose elemental iron for all pregnant women in all settings, this recommendation is not routinely followed in New Zealand. Our institution follows a local protocol that aims to treat ID or IDA if there is evidence of these states on antenatal blood tests. Our guidelines recommend maintenance dose iron if there is evidence of ID but no anaemia, and treatment dose iron in the presence of IDA or if the ferritin is < 20 μg/L, with a view to achieving an HB level > 110 g/L prior to delivery. The full details of our local protocol can be found in Additional file 1. This approach to ‘treat when indicated’, rather than to supplement all women, is supported by a recent international consensus review in which the recommendation in areas of low prevalence, such as New Zealand, is to check ferritin levels in non-anaemic women and offer iron supplementation based on these results [6].

Our institution uses ferrous fumurate as the oral iron of choice, and although oral iron therapy was prescribed and dispensed frequently, the use of intravenous iron (ferric carboxymaltose), remains infrequent. At our hospital, to use intravenous iron, a 2nd or 3rd trimester HB of less than 100 g/L with a ferritin of < 20 μg/L is required. Our data suggest that in patients who are anaemic immediately prior to elective CS, the process has often been apparent since at least the second trimester, if not before. Given the potential consequences of low iron stores it could be argued that targeting a higher ferritin level would prompt earlier treatment with oral iron, leading to higher HB levels at term and is unlikely to lead to harm.

Modern intravenous iron preparations have the advantage of enhanced tolerability [26]. Following administration, ferritin levels peak within 10 days and the rise in HB concentration is seen within 14–21 days [27, 28]. This is ideal in circumstances where there is limited time between the detection of anaemia and CS. Intravenous iron is also effective at increasing HB levels post-partum when compared to oral iron as it circumvents the effects of hepcidin in preventing oral iron absorption [29].

To make optimal use of iron, it is vital to have contemporaneous blood tests. In our population the first step would encompass more regular testing across trimesters starting early in the antenatal period with clear referral pathways for treatment. It is our opinion that the current WHO guideline which drives our protocol for iron supplementation is too restrictive with regards both the ferritin and HB thresholds [29]. There is also considerable debate as to the ferritin level which should be targeted to ensure normal maternal and foetal development. This can be made more complex in patients with chronic disease states where the iron studies can be difficult to interpret [30,31,32]. However, it is likely beneficial for patients if a ferritin level > 30 μg/L was targeted antenatally.

This study has several limitations. We were unable to match blood test results for a small proportion of women who underwent elective CS. This may relate to parturients from outside our hospital catchment or those where laboratory testing was completed by external laboratories. The data associated with iron administration also has limitations. Patients may receive a prescription for iron, and have it dispensed, but there is no way to ensure the mediation was consumed as directed. As this is a retrospective series, its duration is also a limitation. By studying a two-year period, we were able to obtain a reasonable sample size and a meaningful estimate of the incidence and predictors of IDA. Increasing the study period could potentially increase the precision of these estimates. The downside would be the time required to extract the additional data and could also make the data less current. As such, we feel that the time period studied represents a balance between relevance of results and statistical accuracy. We also elected to study parturients undergoing elective CS rather than a cohort undergoing both elective and emergency CS. CS is accompanied by moderate blood loss and by limiting our sample to elective procedures we were able to assess the impact of anaemia in a more predictable patient group. Although we were able to identify statistically significant predictors of IDA in our population, we should bear in mind that these might not be modifiable or causal. We believe that our findings may be generalisable to other populations undergoing the same operation in other countries.


We have identified a significant proportion of patients with both IDA and ID in women undergoing elective CS. This is associated with increased rates of postoperative anaemia and exposure to allogenic blood. To further improve outcomes at our institution, enhanced preoperative screening for IDA and ID across all trimesters is required which may lead to increased utilisation of iron therapy. We have already begun to use these results as an education tool for all staff caring for women who may require elective CS and have drafted a new obstetric anaemia protocol to improve the delivery if iron therapy.

Availability of data and materials

The vast majority of data generated and analysed for this study are included in this published article. Any datasets not used in this article are available from the corresponding author on reasonable request.



iron deficiency


iron deficiency anaemia


caesarean section




National Health Index


Patient Information Management System


World Health Organisation


Non-Anaemic Iron Deficiency


Body Mass Index (BMI),


  1. Stevens GA, Finucane MM, De-Regil LM, et al. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995-2011: a systematic analysis of population-representative data. Lancet Glob Health. 2013;1:e16–25.

    Article  Google Scholar 

  2. Sutherland S, O'Sullivan D, Mullins J. An association between anemia and postpartum depression. Obstet Gynecol. 2018;131:39S.

    Article  Google Scholar 

  3. Rahman MM, Abe SK, Rahman MS, et al. Maternal anemia and risk of adverse birth and health outcomes in low- and middle-income countries: systematic review and meta-analysis. Am J Clin Nutr. 2016;103:495–504.

    Article  CAS  Google Scholar 

  4. Weiser TG, Regenbogen SE, Thompson KD, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372:139–44.

    Article  Google Scholar 

  5. Ferguson MT, Dennis AT. Defining peri-operative anaemia in pregnant women – challenging the status quo. Anaesthesia. 2019;74:237–45.

    Article  CAS  Google Scholar 

  6. Muñoz M, Acheson AG, Auerbach M, et al. International consensus statement on the peri-operative management of anaemia and iron deficiency. Anaesthesia. 2017;72:233–47.

    Article  Google Scholar 

  7. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7.

    Article  Google Scholar 

  8. Women’s Health and Newborn Annual Report. Auckland, New Zealand: Counties Manukau Health, 2019., Accessed 13 Dec 2020.

  9. Myles PS, Grocott MPW, Boney O, et al. Standardizing end points in perioperative trials: towards a core and extended outcome set. Br J Anaesth. 2016;116:586–9.

    Article  CAS  Google Scholar 

  10. Horowitz KM, Ingardia CJ, Borgida AF. Anemia in pregnancy. Clin Lab Med. 2013;33:281–91.

    Article  Google Scholar 

  11. Stages of pregnancy. Office on Womens Health, United States Department of Health and Human Services, 2020., Accessed 13 Dec 2020.

  12. Worldwide prevelance of anaemia 1993–2005. WHO global database on anaemia.;jsessionid=E06B315C5D85181B5A9CCE6AC0F94262?sequence=1, accessed 13 Dec 2020.

  13. Figueiredo ACMG, Gomes-Filho IS, Silva RB, et al. Maternal anemia and low birth weight: a systematic review and meta-analysis. Nutrients. 2018;10:601.

    Article  Google Scholar 

  14. Moore MP, Lunt H. Diabetes in New Zealand. Diabetes Res Clin Pract. 2000;50:65–71.

    Article  Google Scholar 

  15. Breymann C. Iron deficiency anemia in pregnancy. Semin Hematol. 2015;52:339–47.

    Article  Google Scholar 

  16. Lopez A, Cacoub P, Macdougall IC, Peyrin-Biroulet L. Iron deficiency anaemia. Lancet. 2016;387:907–16.

    Article  CAS  Google Scholar 

  17. Juul SE, Derman RJ, Auerbach M. Perinatal iron deficiency: implications for mothers and infants. Neonatology. 2019;115:269–74.

    Article  CAS  Google Scholar 

  18. Di Renzo GC, Spano F, Giardina I, Brillo E, Clerici G, Roura LC. Iron deficiency anemia in pregnancy. Womens Health (Lond). 2015;11:891–900.

    Article  Google Scholar 

  19. Morton LJ, Konrad KL, Xu TJ, Lightfoot NJ. The interaction between pre-operative anaemia and peri-operative blood transfusion on patient outcomes following general surgical procedure: a retrospective review. N Z Med J. 2019;132:13–24.

    PubMed  Google Scholar 

  20. Pivina L, Semenova Y, Doşa MD, Dauletyarova M, Bjørklund G. Iron deficiency, cognitive functions, and neurobehavioral disorders in children. J Mol Neurosci. 2019;68:1–10.

    Article  CAS  Google Scholar 

  21. Dziembowska I, Kwapisz J, Izdebski P, Żekanowska E. Mild iron deficiency may affect female endurance and behavior. Physiol Behav. 2019;205:44–50.

    Article  CAS  Google Scholar 

  22. Beard JL, Hendricks MK, Perez EM, et al. Maternal iron deficiency anemia affects postpartum emotions and cognition. J Nutr. 2005;135:267–72.

    Article  CAS  Google Scholar 

  23. Dama M, Van Lieshout RJ, Mattina G, Steiner M. Iron deficiency and risk of maternal depression in pregnancy: an observational study. J Obstet Gynaecol Can. 2018;40:698–703.

    Article  Google Scholar 

  24. Hidese S, Saito K, Asano S, Kunugi H. Association between iron-deficiency anemia and depression: a web-based japanese investigation. Psychiatry Clin Neurosci. 2018;72:513–21.

    Article  CAS  Google Scholar 

  25. Corwin EJ, Murray-Kolb LE, Beard JL. Low hemoglobin level is a risk factor for postpartum depression. J Nutr. 2003;133:4139–42.

    Article  CAS  Google Scholar 

  26. DeLoughery TG. Safety of oral and intravenous iron. Acta Haematol. 2019;142:8–12.

    Article  CAS  Google Scholar 

  27. Blunden RW, Lloyd JV, Rudzki Z, Kimber RJ. Changes in serum ferritin levels after intravenous iron. Ann Clin Biochem. 1981;18:215–7.

    Article  CAS  Google Scholar 

  28. Baird-Gunning J, Bromley J. Correcting iron deficiency. Aust Prescr. 2016;39:193–9.

    Article  Google Scholar 

  29. World Health Organisation. Serum ferritin concentrations for the assessment of iron status and iron deficiency in populations. Vitamin and Mineral Nutrition Information System., Accessed 13 Dec 2020.

  30. Peng YY, Uprichard J. Ferritin and iron studies in anaemia and chronic disease. Ann Clin Biochem. 2017;54:43–8.

    Article  CAS  Google Scholar 

  31. Fraenkel PG. Understanding anemia of chronic disease. Hematol Am Soc Hematol Educ Program. 2015;2015:14–8.

    Article  Google Scholar 

  32. Ueda N, Takasawa K. Impact of inflammation on ferritin, hepcidin and the management of iron deficiency anemia in chronic kidney disease. Nutrients. 2018;10:1173.

    Article  Google Scholar 

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PDVF– is the corresponding author and primarily responsible for writing and editing the manuscript. AYP– contributed with data acquisition and reviewing the manuscript text. MKG– contributed with data acquisition and review of the manuscript text. AMKC– contributed with reviews and revisions of the manuscript text. KLK– contributed with the review, revision and editing of the manuscript text. NJL– is the supervising author of the study and contributed with writing and editing the manuscript, as well as data acquisition and analysis. All authors have approved the final manuscript submission and have agreed to be fully accountable for their contributions.

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Correspondence to Pablo L. de Vena Franks.

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This study was performed in accordance with the Declaration of Helsinki and the methodology followed the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) statement and checklist. An out of scope exemption was granted from the New Zealand Health and Disability Ethics Committee on the 17th September 2019 following review of the proposed study and methodology. The New Zealand Health and Disability Ethics Committee reference number for the exemption is 19/NTB/155. This study did not involve human participants or human material. Patient laboratory data was, however, used but this data was anonymised appropriately. Furthermore, the study was granted exemption from requiring informed consent for using the anonymised laboratory data, again by the New Zealand Health and Disability Ethics Committee.

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de Vena Franks, P.L., Pan, A.Y., Gill, M.K. et al. Incidence and predictors of iron deficiency anaemia in parturients undergoing elective caesarean section at a tertiary hospital in New Zealand: a retrospective, observational cohort study. BMC Pregnancy Childbirth 21, 645 (2021).

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  • Elective caesarean section
  • iron deficiency anaemia
  • Pregnancy outcomes