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Record W2090393812 · doi:10.1097/aln.0000000000000162

Estimating Maternal Cardiac Arrest Incidence and Outcomes

2014· letter· en· W2090393812 on OpenAlexaffabout
Laurie J. Morrison, Farida M. Jeejeebhoy

Bibliographic record

VenueAnesthesiology · 2014
Typeletter
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineIncidence (geometry)Case fatality rateEtiologyEmergency medicineDemographyPediatricsMedical emergencyPopulationEnvironmental healthInternal medicine

Abstract

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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.

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)0.000
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: none
Teacher disagreement score0.553
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
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 head0.275
Teacher spread0.262 · 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

Citations4
Published2014
Admission routes2
Has abstractyes

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