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Record W2981216796 · doi:10.1182/blood-2018-99-115594

A Retrospective Assessment of Prevention and Treatment of Iron Deficiency Amongst Patients Requiring Peripartum Transfusion

2018· article· en· W2981216796 on OpenAlexaff
Heather VanderMeulen, Yulia Lin, Anne McLeod, Jon Barrett, Michelle Sholzberg, Jeannie Callum

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsSt. Michael's HospitalHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePregnancyObstetricsIron deficiencyAnemiaBlood transfusionPediatricsGestational ageLow birth weightRetrospective cohort studyIron-deficiency anemiaFetusSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Iron deficiency is common and affects nearly 18% of pregnant women in the United States. This is attributable to both poor baseline stores in young women and the high iron requirements of pregnancy; a singleton pregnancy results in a net loss of 630 mg of iron. Both maternal and fetal outcomes are impacted by iron deficiency. There are higher rates of maternal postpartum depression, fetal growth restriction, prematurity and developmental delay when mothers are iron deficient in pregnancy. It is also important to avoid transfusions in women of child bearing age, due to the risks of alloimmunization and hemolytic disease of the newborn. Since iron deficiency is the most common cause of anemia in pregnant women, we sought to assess the prevalence of iron deficiency in women receiving peripartum red blood cell transfusions. Materials and Methods: This study is a retrospective quality review of all cases of peripartum transfusion at an academic centre caring for high risk pregnancies from January 2013 to July 2018. All women admitted to the Labor and Delivery ward who received a red blood cell transfusion were identified through electronic blood bank database. We also identified the next age-matched woman to deliver who was not transfused. Charts were reviewed for risk factors for iron deficiency, evidence of prior iron deficiency, iron supplementation during pregnancy and fetal outcomes such as birth weight, gestational age at delivery, NICU admission and fetal mortality. A detailed transfusion history was recorded for women who received peripartum transfusions, including peritransfusion hemoglobins and indication for transfusion. Results: To date, 120 cases of peripartum red blood cell transfusion have been reviewed. Of these, 19 patients were excluded due to chronic anemia unrelated to iron deficiency or pregnancy (e.g., chronic renal failure). Age matched controls have been identified and are pending review. Preliminary data suggests that the majority of red cell transfusions given in the peripartum period are to women experiencing antepartum (26%) and/or postpartum (63%) hemorrhage. Thirty seven percent of women who were transfused had documented anemia in pregnancy and 51% of women were iron deficient in pregnancy (ferritin <30 ng/mL). Twenty one percent of women in the transfused group were noted to have pre-existing iron deficiency before conceiving. In the transfused cohort, six patients were identified as having alpha thalassemia trait (3 cases) or beta thalassemia minor (3 cases). Discussion: We present the preliminary results of a retrospective review of cases of peripartum red cell transfusion at an academic centre. Although a significant portion of transfusions were unavoidable and attributable to hemorrhage, it may be possible to decrease the number of units these women require. Over half of women who were transfused had documented iron deficiency in pregnancy. This raises the question of how many units of red blood cells could have been saved by appropriately treating these patients' iron deficiency. It is also clear in the literature that iron deficiency is associated with multiple poor fetal and maternal outcomes; we have identified an opportunity to improve the care of these women and their babies. We plan to feed this information back to the Obstetrical caregivers at our centre and to help educate providers about the recognition and treatment of iron deficiency in pregnancy. The high rate of transfusion amongst patients with alpha thalassemia trait and beta thalassemia minor warrants further investigation, but may highlight a knowledge gap around transfusion triggers for these patients. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.266
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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