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Enregistrement W4408718749 · doi:10.1111/ppe.70015

Surviving Severe Bleeding After Childbirth: Consequences Along the Life Course?

2025· article· en· W4408718749 sur OpenAlexaffabout
Ugochinyere Vivian Ukah, Cande V. Ananth

Notice bibliographique

RevuePaediatric and Perinatal Epidemiology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMaternal and fetal healthcare
Établissements canadiensMcGill UniversityMcGill University Health Centre
Organismes subventionnairesNational Institute of Environmental Health SciencesNational Heart, Lung, and Blood Institute
Mots-clésMedicineChildbirthCourse (navigation)Life course approachObstetricsPregnancyGeneral surgeryDevelopmental psychology

Résumé

récupéré en direct d'OpenAlex

Postpartum haemorrhage (PPH), which refers to severe bleeding or excessive blood loss after childbirth, is one of the chief causes of maternal mortality and morbidity worldwide [1]. PPH is usually associated with significant placental physiology, and approximately 70% of PPH cases are caused by uterine atony [1, 2]. Other causes of PPH include retained placenta, trauma during delivery (obstetric trauma), and coagulation disorders. Given that up to 60% of PPH patients have at least one identifiable risk factor, such as advanced maternal age, history of PPH, nulliparity, and grand multiparity [1], counselling and timely obstetrical management could mitigate the risk of PPH. PPH can be classified as primary (i.e., occurring within 24 h postpartum) or secondary (between 24 h and 6 weeks postpartum) [3]. Although different definitions for PPH exist [1, 3], the American College of Obstetricians and Gynaecologists defines PPH as cumulative blood loss of ≥1000 mL or more, or blood loss accompanied by signs or symptoms of hypovolemia within 24 h after the birthing process [2]. The global incidence of PPH varies depending on the location and definition used, but estimates suggest that 3% of all births in the US encounter PPH. The rate of PPH is rising [4], which may partly be due to improved reporting. PPH is also associated with adverse immediate, short-term effects, including severe maternal morbidity, anaemia, hysterectomy, and recurrence in subsequent pregnancies [1, 4], thereby posing a substantial public health concern. However, there is limited data on associations between PPH and adverse long-term health. In this issue of Paediatric and Perinatal Epidemiology, Elser and colleagues [5] report the risk of long-term mortality after PPH using data from the Collaborative Perinatal Project (CPP) Mortality Linkage Study in the US. The study included 43,583 participants who had at least one singleton pregnancy across 12 states in the US between 1959 and 1966. PPH was defined based on obstetrical records documented within 24 h after delivery or between 24 h and 6 weeks postpartum. Pregnancy records of participants were linked with the National Death Index and Social Security Death Master File to obtain their mortality follow-up status up to 2016. The observed frequency of PPH in this study population was 3.5%. The initial increased risk of all-cause mortality associated with PPH occurring in the last pregnancy (hazard ratio 1.13, 95% confidence interval 1.04, 1.22) disappeared following adjustments for several confounding factors. Further investigation of specific causes of mortality revealed that PPH was not associated with any mortality except arrhythmia. In secondary analyses of various subgroups, including race and health characteristics, the authors reported no association between PPH and mortality except for a slight increase in risk when participants with pre-pregnancy conditions, such as cardiovascular disease (CVD), respiratory disease, diabetes, cancer, and blood disorders, were included. This study [5] presents novel findings with potentially important clinical implications. Apart from one study [6] reporting an increased risk for long-term mortality after severe haemorrhage (combined PPH with antepartum and intrapartum haemorrhage, requiring blood transfusion and interventions), there are no other studies on long-term mortality after PPH. Previous studies examining long-term maternal health after PPH have focused on the risk of CVD [6, 7]. Findings from these two studies are conflicting, with a Scottish study [8] (n = 70,904) documenting an increased risk of CVD after PPH, whereas one Canadian study [6] (n = 1,224,975) and a Korean study [8] (n = 150,381) did not find any association. Nonetheless, PPH, which resulted in red blood transfusion, was associated with an increased risk of CVD [6, 8], suggesting that cardiovascular risks may increase with the severity of haemorrhage. The study by Elser and colleagues [5] has several strengths that add to the merit of their findings. A key strength is the long follow-up period (median follow-up time of 52 years) in the study. Given that the median maternal age at delivery in the study was 23 years old, a long follow-up of patients is essential to capture mortality. The well-curated analyses, with careful consideration of potential confounders, also add rigour to the findings. However, the study has some major weaknesses, including a lack of information in the data on the severity of PPH (defined by the amount of blood loss or need for transfusion) and the risk of potential exposure misclassification due to changes in PPH definition over time. In particular, there has been increasing attention regarding quantitative measurement of blood rather than estimated blood loss to define PPH [1, 9]. These weaknesses call for caution with study interpretation and generalisability. While PPH was generally not associated with long-term mortality in the study by Elser and colleagues, further inquiry is needed regarding whether the observed risk of arrhythmia-related mortality is consistent over time and across successive pregnancies. Furthermore, studying specific causes of death, rather than all-cause mortality, would be a more meaningful public health assessment to better understand disease aetiologies with PPH. For example, is the risk of dying from arrhythmia after PPH higher within the first 5 years following delivery than in 10 years or later? As Elser and colleagues did not state what ‘long-term’ mortality means, it is not clear whether they began to measure mortality immediately after delivery hospitalisation discharge or several years later. Also, do people who encounter PPH in more than one pregnancy (i.e., recurrent PPH) have the same risk of all-cause or cause-specific mortality compared with those who have only one pregnancy complicated by PPH? Understanding how timing after delivery and cumulative exposure to PPH are associated with the risk of cause-specific mortality would require a much larger sample size with consistent measurement of PPH over time. Isolating these subgroups of PPH persistence might improve our comprehension of the potential role PPH plays in CVD-related mortality or risk, particularly with regard to arrhythmia, and could provide essential clues for optimal management of high-risk patients. Nonetheless, these findings provide much-needed information on the long-term mortality risk, which may have policy-based implications, including recommendations from national guidelines. For example, the American Heart Association suggests that persons who had hypertension during pregnancy should be flagged for subsequent clinical follow-up for cardiovascular screening [10]. However, it is unclear where PPH fits in the recommendations for clinical postpartum surveillance and whether increased surveillance in this group can reduce CVD or CVD-related death. Lastly, with the growing recognition of pregnancy complications as predictors of future adverse health, future studies can explore whether PPH should be considered a potential predictor of CVD. Although more research is needed to fully understand the relationship of PPH and cause-specific mortality, especially CVD-related, it appears that women who experienced PPH are not at increased risk of all-cause mortality. Ugochinyere Vivian Ukah drafted the commentary, and Cande V. Ananth critically reviewed for important intellectual content. Both authors approved the final version of the manuscript and take responsibility for the integrity of the work as a whole, from inception to published article. The authors declare no conflicts of interest. Only information from published sources were used for this commentary.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,083
Score d'incertitude au seuil0,407

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,324
Écart entre enseignants0,297 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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