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Record W3214406140 · doi:10.1182/blood-2021-154106

Sex Differences in Anemia and Red Blood Cell Transfusions Among General Internal Medicine Inpatients

2021· article· en· W3214406140 on OpenAlexaff
Anath C. Lionel, Riley Waters, Michelle Sholzberg, Katerina Pavenski, Amol A. Verma, Fahad Razak

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsSt. Michael's HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineAnemiaHemoglobinRetrospective cohort studyCohort studyCohortBlood transfusionPopulationSickle cell anemiaEpidemiologyPediatricsInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background: Epidemiological data from the general population have shown that women have lower hemoglobin values compared to men. Previous research on surgical patients showed that women were significantly more likely to receive red blood cell (RBC) transfusions compared to men in the peri-operative period due to multiple factors including the application of absolute transfusion thresholds. Sex differences in RBC transfusion frequencies have not been well studied in non-surgical settings. Here we investigated sex differences in anemia and in RBC transfusion frequencies in patients admitted to General Internal Medicine (GIM) wards. Study design and methods: This was a retrospective cohort study using de-identified electronic patient data from all patients admitted to the GIM wards from the emergency department across 4 different hospitals between 2010 and 2017, who had at least 1 CBC test during their admission. Patients with multiple hospital admissions during the study period, those who were pregnant, those who underwent surgery during the admission, and those transferred to or from another service besides GIM during their admission were excluded. Severity of anemia was stratified using the WHO sex-specific quantitative thresholds for hemoglobin: mild anemia (110 to 119 g/L in women and 110 to 129 g/L in men), moderate anemia (80 to 109 g/L in both men and women) and severe anemia (lower than 80 g/L in both men and women). Results: The study cohort consisted of 51,073 inpatients (24,666 men and 26,407 women). The median hemoglobin at the time of admission was significantly higher (p < 0.001) in men (median 135 g/L, IQR 31) compared to women (median 127 g/L, IQR 25). The prevalence of moderate and severe anemia was significantly higher (p < 0.001) in female inpatients (56%) compared to males (44%). The proportion of patients who received RBC transfusions during their admission was not significantly different (p = 0.36) between men (49%) and women (51%). There was no significant sex difference (p = 0.28) observed in the median hemoglobin prior to RBC transfusions between men (median 68 g/L, IQR 10.5) and women (median 68 g/L, IQR 11). The number of patients with pre-transfusion hemoglobin less than 70 g/L, the commonly used threshold for transfusion in the in-patient setting, was not significantly different (p = 0.91) between men and women. However, among the patients with hemoglobin < 70 g/L, a significantly lower proportion (p < 0.001) of women (82%) received RBC transfusions compared to men (91%). Conclusions: In a large cohort of GIM inpatients, we observed significantly higher prevalence of moderate and severe anemia in women compared to men. While there was no sex difference in overall RBC transfusion frequencies in this inpatient population, there was a lower proportion of women receiving RBC transfusions compared to men in the subgroup of patients with hemoglobin less than 70 g/L. 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)0.000
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.228
Teacher spread0.215 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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