Melissa E. Bauer

Maternal sepsis mortality and morbidity during hospitalization for delivery: temporal trends and independent associations for severe sepsis.

BACKGROUND:Sepsis is currently the leading cause of direct maternal death in the United Kingdom. In this study, we aimed to determine frequency, temporal trends, and independent associations for severe sepsis during hospitalization for delivery in the United States. METHODS:Data were obtained from the Nationwide Inpatient Sample for the years 1998 through 2008. The presence of severe sepsis was identified by the appropriate International Classification of Diseases, Ninth Revision, Clinical Modification codes. Logistic regression analysis was used to assess temporal trends for sepsis, severe sepsis, and sepsis-related death and also to identify independent associations of severe sepsis. RESULTS:Of an estimated 44,999,260 hospitalizations for delivery, sepsis complicated 1:3333 (95% confidence interval [CI], 1:3151–1:3540) deliveries, severe sepsis complicated 1:10,823 (95% CI, 1:10,000–1:11,792) deliveries, and sepsis-related death complicated 1:105,263 (95% CI, 1:83,333–1:131,579) deliveries. While the overall frequency of sepsis was stable(P = 0.95), the risk of severe sepsis and sepsis-related death increased during the study period, (P < 0.001) and (P = 0.02), respectively. Independent associations for severe sepsis, with an adjusted odds ratio and lower bound 95% CI higher than 3, include congestive heart failure, chronic liver disease, chronic renal disease, systemic lupus erythematous, and rescue cerclage placement. CONCLUSIONS:Maternal severe sepsis and sepsis-related deaths are increasing in the United States. Severe sepsis often occurs in the absence of a recognized risk factor and underscores the need for developing systems of care that increase sensitivity for disease detection across the entire population. Physicians should enhance surveillance in patients with congestive heart failure, chronic liver disease, chronic renal disease, and systemic lupus erythematous and institute early treatment when signs of sepsis are emerging.

Risk factors for failed conversion of labor epidural analgesia to cesarean delivery anesthesia: a systematic review and meta-analysis of observational trials.

BACKGROUND This systematic review and meta-analysis evaluates evidence for seven risk factors associated with failed conversion of labor epidural analgesia to cesarean delivery anesthesia. METHODS Online scientific literature databases were searched using a strategy which identified observational trials, published between January 1979 and May 2011, which evaluated risk factors for failed conversion of epidural analgesia to anesthesia or documented a failure rate resulting in general anesthesia. RESULTS 1450 trials were screened, and 13 trials were included for review (n=8628). Three factors increase the risk for failed conversion: an increasing number of clinician-administered boluses during labor (OR=3.2, 95% CI 1.8-5.5), greater urgency for cesarean delivery (OR=40.4, 95% CI 8.8-186), and a non-obstetric anesthesiologist providing care (OR=4.6, 95% CI 1.8-11.5). Insufficient evidence is available to support combined spinal-epidural versus standard epidural techniques, duration of epidural analgesia, cervical dilation at the time of epidural placement, and body mass index or weight as risk factors for failed epidural conversion. CONCLUSION The risk of failed conversion of labor epidural analgesia to anesthesia is increased with an increasing number of boluses administered during labor, an enhanced urgency for cesarean delivery, and care being provided by a non-obstetric anesthesiologist. Further high-quality studies are needed to evaluate the many potential risk factors associated with failed conversion of labor epidural analgesia to anesthesia for cesarean delivery.

Maternal physiologic parameters in relationship to systemic inflammatory response syndrome criteria: a systematic review and meta-analysis.

OBJECTIVE: To establish the normal maternal range in healthy pregnant women for each component of the systemic inflammatory response syndrome (SIRS) criteria and compare these ranges with existing SIRS criteria. DATA SOURCES: PubMed, Embase, and ClinicalTrials.gov databases were searched to identify studies of healthy parturients from the first trimester through 12 weeks postpartum that reported maternal temperature, respiratory rate, PaCO2, heart rate, white blood cell count data, or a combination of these. METHODS OF STUDY SELECTION: Data were extracted from studies providing maternal values for components of SIRS criteria. The mean, standard deviation, and two standard deviations from the mean for all criteria parameters published in the literature were reported. TABULATION, INTEGRATION, AND RESULTS: Eighty-seven studies met inclusion criteria and included 8,834 patients and 15,237 data points: temperature (10 studies and 2,367 patients), respiratory rate (nine studies and 312 patients), PaCO2 (12 studies and 441 patients), heart rate (39 studies and 1,374 patients), and white blood cell count (23 studies and 4,553 patients). Overlap with SIRS criteria occurred in healthy pregnant women during the second trimester, third trimester, and labor for each of the SIRS criteria except temperature. Every mean value for PaCO2 during pregnancy (and up to 48 hours postpartum) was below 32 mm Hg. Two standard deviations above the mean for temperature, respiratory rate, and heart rate were 38.1°C, 25 breaths per minute, and 107 beats per minute, respectively. CONCLUSION: Current SIRS criteria often overlap with normal physiologic parameters during pregnancy and the immediate postpartum period; thus, alternative criteria must be developed to diagnose maternal sepsis.

Patterns of Opioid Prescription and Use After Cesarean Delivery

OBJECTIVE To define the amount of opioid analgesics prescribed and consumed after discharge after cesarean delivery. METHODS We conducted a survey at six academic medical centers in the United States from September 2014 to March 2016. Women who had undergone a cesarean delivery were contacted by phone 2 weeks after discharge and participated in a structured interview about the opioid prescription they received on discharge and their oral opioid intake while at home. RESULTS A total of 720 women were enrolled; of these, 615 (85.4%) filled an opioid prescription. The median number of dispensed opioid tablets was 40 (interquartile range 30-40), the median number consumed was 20 (interquartile range 8-30), and leftover was 15 (interquartile range 3-26). Of those with leftover opioids, 95.3% had not disposed of the excess medication at the time of the interview. There was an association between a larger number of tablets dispensed and the number consumed independent of patient characteristics. The amount of opioids dispensed did not correlate with patient satisfaction, pain control, or the need to refill the opioid prescription. CONCLUSION The amount of opioid prescribed after cesarean delivery generally exceeds the amount consumed by a significant margin, leading to substantial amounts of leftover opioid medication. Lower opioid prescription correlates with lower consumption without a concomitant increase in pain scores or satisfaction.

Maternal Deaths Due to Sepsis in the State of Michigan, 1999–2006

OBJECTIVE: To identify maternal deaths due to sepsis in the state of Michigan, review the events leading to diagnosis, and evaluate treatment to identify areas for improvement. METHODS: A case series was collected for maternal deaths due to sepsis from a cohort of maternal deaths in the state of Michigan. The study period was 1999–2006 and included deaths during pregnancy and up to 42 days postpartum. Cases were identified using Maternal Mortality Surveillance records from the Michigan Department of Community Health. Each case was reviewed by all authors. RESULTS: Maternal sepsis was the cause of death in 15% (22/151) of pregnancy-related deaths. Of 22 deaths, 13 women presented to the hospital with sepsis, two developed sepsis during hospitalization, and seven developed sepsis at home without admission to the hospital for care. Review of available hospital records (n=15) revealed delays in initial appropriate antibiotic treatment occurred in 73% (11/15) of patients. Delay in escalation of care also occurred and was identified in 53% (8/15) of patients. CONCLUSION: Common elements in these deaths illustrate three key delays that may have contributed to the deaths: in recognition of sepsis, in administration of appropriate antibiotics, and in escalation of care. LEVEL OF EVIDENCE: III

Risk of Epidural Hematoma after Neuraxial Techniques in Thrombocytopenic Parturients : A Report from the Multicenter Perioperative Outcomes Group

Background: Thrombocytopenia has been considered a relative or even absolute contraindication to neuraxial techniques due to the risk of epidural hematoma. There is limited literature to estimate the risk of epidural hematoma in thrombocytopenic parturients. The authors reviewed a large perioperative database and performed a systematic review to further define the risk of epidural hematoma requiring surgical decompression in this population. Methods: The authors performed a retrospective cohort study using the Multicenter Perioperative Outcomes Group database to identify thrombocytopenic parturients who received a neuraxial technique and to estimate the risk of epidural hematoma. Patients were stratified by platelet count, and those requiring surgical decompression were identified. A systematic review was performed, and risk estimates were combined with those from the existing literature. Results: A total of 573 parturients with a platelet count less than 100,000 mm–3 who received a neuraxial technique across 14 institutions were identified in the Multicenter Perioperative Outcomes Group database, and a total of 1,524 parturients were identified after combining the data from the systematic review. No cases of epidural hematoma requiring surgical decompression were observed. The upper bound of the 95% CI for the risk of epidural hematoma for a platelet count of 0 to 49,000 mm–3 is 11%, for 50,000 to 69,000 mm–3 is 3%, and for 70,000 to 100,000 mm–3 is 0.2%. Conclusions: The number of thrombocytopenic parturients in the literature who received neuraxial techniques without complication has been significantly increased. The risk of epidural hematoma associated with neuraxial techniques in parturients at a platelet count less than 70,000 mm–3 remains poorly defined due to limited observations.

Active Management of Labor Epidural Analgesia Is the Key to Successful Conversion of Epidural Analgesia to Cesarean Delivery Anesthesia.

1074 www.anesthesia-analgesia.org November 2016 • Volume 123 • Number 5 Copyright

Maternal leukocytosis after antenatal corticosteroid administration: a systematic review and meta-analysis*

Abstract Although it is known that corticosteroid administration causes leukocytosis, the magnitude and length of time this leukocytosis persists is unknown during pregnancy. This study aimed to establish the expected range of maternal leukocytosis in healthy pregnant women at risk for preterm delivery after antenatal corticosteroid administration. PubMed, Embase and ClinicalTrials.gov were searched to identify the studies in healthy women at risk for preterm delivery without signs of clinical infection that reported white blood cell values preceding and after antenatal corticosteroid administration. The inverse variance weighting technique was used to calculate the weighted means and the standard deviation from the mean for each time period. Six studies met inclusion criteria and included 524 patients and 1406 observations. Mean ± standard deviation maternal white blood cell count values prior to antenatal corticosteroid administration and up to 24, 48, 72 and 96 hours after corticosteroid administration were 10.4 ± 2.4, 13.6 ± 3.6, 12.1 ± 3.0, 11.5 ± 2.9 and 11.1 ± 2.5 × 109/L, respectively. Leukocytosis in healthy, non-infected women is expected to peak 24 hours after antenatal corticosteroid administration and the magnitude of increase is small. Impact statement What is already known on this subject: While it is well known that administration of antenatal corticosteroids causes leukocytosis, it is currently unknown the magnitude and length of time the leukocytosis persists. What the results of this study add: This study establishes the expected range and the temporal progression and regression with antenatal corticosteroid administration in healthy pregnant women at risk for preterm delivery without clinical signs of infection. What the implications are of these findings for clinical practice and/or further research: Clinicians may wish to consider further investigation into the clinical cause, whether infectious or non-infectious, for absolute values and changes outside this range. Graphical Abstract

Current applications of big data in obstetric anesthesiology

Purpose of review The narrative review aims to highlight several recently published ‘big data’ studies pertinent to the field of obstetric anesthesiology. Recent findings Big data has been used to study rare outcomes, to identify trends within the healthcare system, to identify variations in practice patterns, and to highlight potential inequalities in obstetric anesthesia care. Big data studies have helped define the risk of rare complications of obstetric anesthesia, such as the risk of neuraxial hematoma in thrombocytopenic parturients. Also, large national databases have been used to better understand trends in anesthesia-related adverse events during cesarean delivery as well as outline potential racial/ethnic disparities in obstetric anesthesia care. Finally, real-time analysis of patient data across a number of disparate health information systems through the use of sophisticated clinical decision support and surveillance systems is one promising application of big data technology on the labor and delivery unit. Summary ’Big data’ research has important implications for obstetric anesthesia care and warrants continued study. Real-time electronic surveillance is a potentially useful application of big data technology on the labor and delivery unit.