Etiologies and Management of Maternal
Cardiac Arrest During Peripartum Anesthetic Care
A Study from the Multicenter Perioperative Outcomes Group Consortium
Michael J. Furdyna, MD
Critical Care Medicine | Obstetric Anesthesiology
Brigham and Women’s Hospital | Harvard Medical School
*No disclosures
Findings and Lessons Learned
Allison Mootz, MD | Shakthi Venkatachalam, MBBS
Michael Mathis, MD | Thomas Klumpner, MD
Kara Fields, MS | Jill Mhyre, MD
Brian Bateman, MD, MSc | Sharon Reale, MD
Background
Describe the frequency, risk factors, etiology,
and management of maternal cardiac arrest
during peripartum anesthetic care
Prior studies utilizing national hospitalization-level data to study maternal cardiac arrest
are limited in granular assessments
More detailed, contemporary studies are registry-based and rely on manual reporting
(NAP7, CAPS)
U.S. lacks studies assessing maternal cardiac arrest with this level of detail
Aims:
Mhyre Anesthesiology 2014 | Ford Ann Intern Med 2023 | Lucas Anaesthesia 2024 | Beckett BJOG 2017
Methods
Screening criteria:
ICD/CPT codes
ACLS medications
MPOG electronic
record concepts/events
Free-text notations
Inclusion criteria:
All anesthetic records
for delivery + any
associated anesthetic
records within 7 days
2015-2022
Ages 15-44
Manual review:
Two anesthesiologists
independently
evaluated each case
Granular data manually
abstracted from
anesthetic records
Patient Factors Odds Ratio (95% CI) Risk
Age 40+
2.13 (1.02, 4.5)
1:4,527
BMI 40+ 2.90 (1.61, 5.2) 1:4,477
Black Race 1.82 (1.08, 3.08) 1:5,843
Comorbidities Odds Ratio (95% CI) Risk
Pulmonary
Hypertension
60.4 (22.1, 165.0) 1:155
Placenta Accreta
Spectrum
35.9 (19.1, 67.7) 1:284
Chronic Ischemic
Heart Disease
27.0 (9.9, 73.6) 1:347
Results
11.2 per 100,000 deliveries
(95% CI 9.1, 13.8)
87 cardiac arrests during
anesthetic care
Overall risk 1:8,944
778,000 delivery
hospitalizations
21% of Arrests Before Delivery 62% of Arrests After Delivery
17% Indeterminate
Minutes from Delivery to Arrest
Etiology Median Onset
All Causes 26
Hemorrhage 102
Amniotic Fluid Embolism 6.5
Respiratory 61
Anesthesia Complication -5.5
Acute Cardiac Event 18
Unknown 13
Operating
Room
Labor Floor
Other
PACU
Arrest Location
Location and Timing
Delivery
Time
Etiology N (%)
ROSC
N (%)
30 Day Survival
N (%)
Median LOS
Among Survivors
(Days)
Trach/G-tube
Among Survivors
N(%)
All Causes* 87 67 (77.0) 60 (69.0) 6 3 (5.0)
Hemorrhage 35 (40.2) 23 (65.7) 22 (62.9) 8 1 (4.55)
Amniotic Fluid Embolism 27 (31.0) 23 (85.2) 20 (74.1) 8 3 (15.0)
Respiratory 12 (13.8) 9 (75.0) 6 (50.0) 4 1 (16.7)
Anesthesia Complication 10 (11.5) 10 (100.0) 9 (90.0) 4 -
Acute Cardiac Event 8 (9.2) 7 (87.5) 6 (75.0) 13.5 -
Trauma 3 (3.5) 0 (0.0) 0 (0.0) - -
Venous Thromboembolism 3 (3.5) 2 (66.7) 1 (33.3) 5 -
Air Embolism 1 (1.2) 0 (0.0) 0 (0.0) - -
Unknown 9 (10.3) 7 (77.8) 7 (77.8) 2 -
* Some cases had multiple etiologies
Etiologies and Outcomes
Interventions N (%) Adjuvant Medications N (%)
Advanced Airway
Epinephrine (1 milligram)
76 (87.4)
Pre-existing
45 (51.7)
Amiodarone
10 (11.5)
New 35 (40.2) Atropine
22 (25.3)
Arterial Access Sodium Bicarbonate
46 (52.9)
Pre-existing 22 (25.3) Calcium Chloride
40 (46.0)
New 40 (46.0) Vasopressor Infusions+
53 (60.9)
Central Venous Access Ino-chronotrope Infusions++
31 (35.6)
Pre-existing 5 (5.8) Pulmonary Vasodilators
6 (6.9)
New 26 (29.9) Blood Products
44 (50.6)
Transesophageal Echo 17 (19.5) Factor Concentrates
8 (9.2)
Transthoracic Echo 9 (10.3) Lipid Emulsion
1 (1.1)
ECMO (VA or VV) 14 (16.1)
Deviation from ACLS Guidelines 16 (18.4)
Management
+ Phenylephrine, norepinephrine, vasopressin
++ Epinephrine, milrinone, dopamine
Delayed resuscitative
hysterotomy
Epinephrine
Amiodarone
14 cases
11 survived case
8 survived to 30 days
Conclusions
Opportunities for improvement?
Hemorrhage Outcomes
ACLS
Risk of peripartum MCA during anesthetic care:
1:8,944
Highest risk comorbidities:
Pulmonary hypertension, placenta accreta spectrum,
chronic ischemic heart disease
Most common etiologies:
Hemorrhage and AFE
Outcomes after MCA:
77% ROSC, 69% 30-Day Survival
Lessons Learned: Needle in a Haystack
How do you screen for something exceedingly rare?
Multiple search criteria will increase sensitivity, but at the
expense of specificity
A preliminary ‘chart biopsy’ is essential to identify the right
screening criteria
Screening criteria:
ICD/CPT codes
ACLS medications
MPOG electronic
record concepts/events
Free-text notations
Lessons Learned: Needle in a Haystack
Limited temporal resolution
Screening criteria:
ICD/CPT codes
ACLS medications
MPOG electronic
record concepts/events
Free-text notations
Can’t screen by dose in Data Direct
Must be mapped correctly at sites
Requires manual review
Lessons Learned: “I know it when I see it”
Manual review can help extract inconsistently documented
parameters, or capture complex concepts
Share the load as much as you can, inversely with complexity
Be judicious – time commitment scales fast with manual review
detail and sample size
Lessons Learned: “I know it when I see it”
Manual review can help extract inconsistently documented
parameters, or capture complex concepts
Share the load as much as you can, inversely with complexity
Be judicious – time commitment scales fast with manual review
detail and sample size
You only want to do this once…
Cardiac Arrest?
Arrest Timing?
Location?
Airway?
Lines?
Echo?
Resuscitative
Hysterotomy?
Outcome?
Duration?
Rhythm?
Medications?
Etiology?
Thank you!
mfurdyna@bwh.harvard.edu