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Record W2934679714 · doi:10.1080/14767058.2019.1601697

Postpartum hemorrhage and risk for postpartum readmission

2019· article· en· W2934679714 on OpenAlexaff
Arielle W. Fein, Timothy Wen, Jason D. Wright, Dena Goffman, Mary E. D’Alton, Frank J. Attenello, William J. Mack, Alexander M. Friedman

Bibliographic record

VenueThe Journal of Maternal-Fetal & Neonatal Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsColumbia College
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsMedicineConfidence intervalObstetricsRelative riskPostpartum periodPregnancyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Objective: This study had two objectives: (i) to evaluate risk factors for postpartum readmission for a primary diagnosis of postpartum hemorrhage (PPH) among all women, and (ii) to determine risk for postpartum readmission specifically among women with PPH during their delivery hospitalization.Methods: The Healthcare Cost and Utilization Project’s Nationwide Readmissions Database for 2010 to 2014 was used to evaluate risk for postpartum readmission for PPH within 60 days of discharge from a delivery hospitalization. Obstetric, medical, demographic, and hospital factors including PPH during the index delivery were analyzed. Sixty-day postpartum readmission for PPH was the primary outcome. Both unadjusted and adjusted analyses were performed. In adjusted models, the risk was characterized as adjusted risk ratios (aRR) with 95% confidence intervals (CI). As a secondary outcome to further characterize how PPH at delivery was associated with readmission likelihood, the risk for all-cause readmission was evaluated among women with this diagnosis during their delivery.Results: Of the 15,701,150 delivery hospitalizations, 10,618 women were readmitted postpartum for a primary indication of postpartum hemorrhage. Eighty-two percent of readmissions occurred ≤20 days after discharge. In the adjusted model for readmission for PPH, PPH during the delivery hospitalization was associated with aRR of 5.26 (95% CI 4.94, 5.59) for hemorrhage alone, aRR of 14.28 (95% CI 13.06, 15.60) for hemorrhage requiring transfusion, and aRR of 12.40 for PPH with disseminated intravascular coagulation (DIC) requiring transfusion (95% CI 9.56–16.08) compared to no PPH. For the secondary analysis evaluating all-cause readmission, PPH during delivery was associated with aRR of 1.47 for PPH alone (95% CI 1.44–1.51), aRR of 2.43 for PPH requiring transfusion (95% CI 2.34–2.52), and aRR of 2.77 for PPH with DIC requiring transfusion (95% CI 2.54–3.03) compared to no PPH.Conclusion: PPH at delivery is a significant risk factor for subsequent readmission both for PPH and for all causes. For women who undergo large hemorrhage during delivery, shorter interval postpartum follow-up may be indicated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.300
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.281
Teacher spread0.269 · 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 teacher head, 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

Citations39
Published2019
Admission routes1
Has abstractyes

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