Estimating Maternal Cardiac Arrest Incidence and Outcomes
Notice bibliographique
Résumé
IN this issue, Dr. Mhyre et al.1 report in-hospital maternal cardiac arrest estimates for the United States based on an important subgroup of pregnant women; namely all women who delivered a child by any means, in a representative sample of hospitals’ administrative data. This is the first large-scale North American attempt to document the incidence and the potential etiologies of maternal cardiac arrest. Previous research in this area from the Confidential Enquiries into Maternal Deaths in the United Kingdom estimated the incidence of maternal cardiac arrest to be 1:20,000 to 1:50,000. This is a rare but devastating event with two potential victims, and to date, incidence, case fatality rates, outcomes, and etiologies for maternal cardiac arrest are unknown. This first look at the numbers must be balanced with the selection bias of this administrative data set and should encourage others to use available or prospective data collection to enhance this initial estimate. It is also a very hopeful article as it reports survival to discharge rates that exceed 55% which are some of the highest survival rates from cardiac arrest in the published literature and suggests pregnant women can survive this rare but extreme event. This high rate of survival reinforces the ongoing education and active response from all who work in labor and delivery to provide the highest quality of care to save the mother as the priority and, often consequently, save the child as well.This national data set which is weighted to be representative has been used in other publications to estimate disease and injury incidence and outcomes. It is a credible administrative data set with cross-representation across rural and urban settings extrapolating a population estimate based on 20% of all hospital admissions occurring from 1998 until 2011. What is missing in this article and the Healthcare Cost and Utilization Project Web site is a reliability and validity evaluation of the administrative data set against medical records as source documentation. Quality assurance documentation obtained from the Web site seems to be limited to logic checks and normative ranges to identify potential errors and a list of edit checks such that all inconsistent or missing data are managed in the same way across all data sets.This study reported the largest sample of maternal cardiac arrest in the published literature and concludes the incidence of this subgroup of maternal cardiac arrests occurring in the delivery room or postpartum to be 1 in 12,000. This is much more frequent than previous estimates for all pregnant women regardless of stage of parturition suggesting that the in-hospital labor, delivery, and recovery are higher-risk periods for cardiac arrest than the antenatal period. This estimate by design does not include all maternal cardiac arrests occurring before delivery including those in the out-of-hospital setting. It also would not include any arrest before delivery that did not receive a perimortem cesarian delivery. Both out-of-hospital cardiac arrests and any antenatal arrest with a gravid abdomen that is not treated with a perimortem cesarian delivery have the lowest survival rates. Even with the introduction of simulator training, only 25% of eligible maternal arrests were treated with perimortem cesarian delivery. The exclusion of these patients could contribute to the explanation for the high survival rate in this subgroup of patients. In-hospital cardiac arrest outcomes from the same data set suggested survival rates of 30% in 2004 when events occurring in the intensive care unit and labor and delivery were excluded suggesting that the survival rate reported in this article for maternal cardiac arrests is almost double that observed for all in-hospital arrests.This article reports that incidence was stable over time, whereas other studies from Canada, United States, Europe, South America, and China have suggested that maternal age and morbidity are both rising putting patients at higher risk for maternal cardiac arrest. The fact that incidence of maternal cardiac arrest in the delivery room and postpartum was relatively stable over time may suggest that the quality of prenatal care and high-risk obstetrical care is minimizing the risk of cardiac arrest during delivery. The observation may be different if we looked at maternal cardiac arrest occurring before delivery.The authors have identified the cause-specific cardiac arrest frequency per 1,000 women with each condition in the delivery room. The top three are amniotic fluid embolism, acute myocardial infarction, and venous embolism which raise awareness and should inspire the team to diligently treat these conditions as they present before they lead to arrest.As the authors pointed out they were missing neurological outcomes of the women at discharge and any outcomes on the neonates. In addition, they were unable to report rate and timing of perimortem cesarian delivery which would be helpful in guiding resuscitation guideline implementation in all hospitals.This timely and well-done article by Mhyre and colleagues from the United States and Israel is our first look at maternal cardiac arrest incidence in the delivery room and it serves as a call to action for others to look carefully at existing data sets to see whether a broader, more comprehensive estimate could be reported. Additional existing national data sets such as the American Heart Association Get with the Guidelines-Resuscitation for in-hospital arrest and the jointly funded (United States and Canada) Resuscitation Outcomes Consortium for out-of-hospital arrests could contribute to this initial work to provide incidence, case fatality rates, outcomes, and etiologies for all maternal cardiac arrests.The authors are not supported by, nor maintain any financial interest in, any commercial activity that may be associated with the topic of this article.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».