Abstract
Background:
Compared with neuraxial anesthesia, general anesthesia for cesarean delivery is associated with increased risk of maternal adverse events. Reducing avoidable general anesthetics for cesarean delivery may improve safety of obstetric anesthesia care. This study examined adverse events, trends, and factors associated with potentially avoidable general anesthetics for cesarean delivery.
Methods:
This retrospective study analyzed cesarean delivery cases without a recorded indication for general anesthesia or contraindication to neuraxial anesthesia in New York State hospitals, 2003-2014. Adverse events included anesthesia complications (systemic, neuraxial-related, and drug-related), surgical site infection, venous thromboembolism, and the composite of death or cardiac arrest. Anesthesia complications were defined severe if associated with death, organ failure, or prolonged hospital stay.
Results:
During the study period, 466,014 cesarean deliveries without a recorded indication for general anesthesia or contraindication to neuraxial anesthesia were analyzed; 26,431 were completed under general anesthesia (5.7%). Proportion of avoidable general anesthetics decreased from 5.6% in 2003-2004 to 4.8% in 2013-2014 (14% reduction; P < 0.001). Avoidable general anesthetics were associated with significantly increased risk of anesthesia complications (adjusted odds ratio (aOR) 1.6; 95% confidence interval (CI), 1.4 to 1.9), severe complications (aOR 2.9; 95% CI, 1.6 to 5.2), surgical site infection (aOR 1.7; 95% CI, 1.5 to 2.1), and venous thromboembolism (aOR 1.9; 95% CI, 1.3 to 3.0) but not of death or cardiac arrest. Labor neuraxial analgesia rate was one of the most actionable hospital-level factor associated with avoidable general anesthetics. Relative to hospitals with a rate ≥ 75%, the aOR of avoidable general anesthetics increased to 1.3 (95 CI, 1.2 to 1.4), 1.6 (95% CI, 1.5 to 1.7), and 3.2 (95% CI, 3.0 to 3.5) as the rate decreased to 50-74.9%, 25-49.9% and <25%, respectively.
Conclusions:
Compared with neuraxial anesthesia, avoidable general anesthetics are associated with increased risk of adverse maternal outcomes.
Summary statement:
General anesthesia for cesarean delivery is associated with increased risk of maternal adverse events. Reducing potentially avoidable use of general anesthesia could be a potential area for clinical intervention to improve the safety and quality of obstetric anesthesia care. In this study, we assessed maternal adverse events, time trends, and factors associated with potentially avoidable use of general anesthesia in cesarean deliveries in New York State from 2003 to 2014.
Introduction
Compared with neuraxial anesthesia, general anesthesia for cesarean delivery is associated with significantly increased risks of maternal adverse events. These include death, cardiac arrest, anesthesia-related complications, or surgical site infection.1-4 Increased risk of deep venous thrombosis and pulmonary embolism is also suggested.5 These higher risks of maternal adverse events were taken into consideration in the 2007 and 2016 American Society of Anesthesiologists (ASA) Practice Guidelines for Obstetric Anesthesia, hence the statements “neuraxial techniques are preferred to general anesthesia for most cesarean deliveries” and “consider selecting neuraxial techniques in preference to general anesthesia for most cesarean deliveries”.6,7
Utilization of general anesthesia for cesarean delivery has consequently markedly decreased during the last decade.8 This decrease was associated with a parallel decrease in anesthesia-related morbidity.1,8 The current general anesthesia rate for cesarean delivery is estimated around 5.5%.9,10 Further reduction in this rate could be a potential area for clinical interventions to improve the safety and quality of obstetric anesthesia care and reduce anesthesia-related morbidity. However, use of general anesthesia for cesarean delivery may be clinically indicated in women with specific preexisting or pregnancy-associated conditions (e.g., severe heart valve stenosis), in high-risk obstetrical situations (e.g., morbidly adherent placenta), or in women with contraindications to neuraxial techniques (e.g., coagulation factor deficit). In these situations, the risk-benefit balance may favor general anesthesia and the additional risk associated with general anesthesia compared to neuraxial anesthesia can be deemed acceptable. On the contrary, additional risks associated with general anesthesia without a clinical condition precluding use of neuraxial anesthesia could be deemed as unnecessary because exposure to general anesthesia-associated risks is avoidable. To date, most of the research on general anesthesia for cesarean delivery has examined general anesthesia as a whole without individualizing situations where general anesthesia was not clinically indicated.8,9,11 Characterizing patient- and hospital level factors associated with general anesthesia without a recorded clinical indication or characterizing groups of patients and hospitals with potentially avoidable use of general anesthesia use could help identify targets for quality assurance programs.
This study examined risks of maternal adverse events, temporal trends, and patient- and hospital-level risk factors for potentially avoidable general anesthesia in cesarean deliveries.
Material and methods
The study protocol was reviewed by the Institutional Review Board of Columbia University Medical Center and was granted exemption under 45 Code of Federal Regulation 46 (not human subjects research). The Strengthening The Reporting of OBservational studies in Epidemiology (STROBE) and the Reporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statements were followed.
The initial study protocol was not publicly registered. The currently presented analysis plan was based upon the initial plan combined with peer review process requested changes.
Study samples and definition of exposure
The study sample included all records of discharges after cesarean delivery performed in New York State hospitals between January 1, 2003 and December 31, 2014 without a recorded clinical indication for general anesthesia. Clinical indications for general anesthesia were categorized into 3 groups (Table 1 and Supplemental Digital Content Table 1): obstetrical indications (e.g., placenta accreta), maternal indications (e.g., pulmonary hypertension), and contraindications to neuraxial techniques (e.g., coagulation factor deficit). Cesarean deliveries cases without a recorded clinical indication for general anesthesia may indicate situations where general anesthesia was potentially avoidable.
Table 1:
Clinical indications for general anesthesia.
| 1. Obstetrical indications |
| Abnormal fetal heart rhythm |
| Fetal distress |
| Severe postpartum hemorrhage (i.e., hemorrhage associated with blood transfusion, hysterectomy, or disseminated intravascular coagulation) |
| Abruptio placenta, placenta praevia, or placenta accreta |
| Uterine rupture |
| Umbilical cord prolapse |
| Amniotic fluid embolism |
| 2. Maternal indications |
| Comorbidity index for obstetric patients ≥ 3 |
| Charlson comorbidity index ≥ 2 |
| 3. Contraindications to neuraxial techniques |
| Coagulation factor deficit, Von Willebrand disease, or thrombocytopenia |
| Sepsis and septic shock |
| Maternal pyrexia or generalized infection during labor |
| Chorioamnionitis |
Hospital discharge records of the State Inpatient Database for New York were analyzed. State Inpatient Databases are part of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. They capture all inpatient discharges from non-federal acute care community hospitals, including tertiary and academic centers. For each discharge, the New York State Inpatient Database indicates the type of anesthesia provided, one hospital identifier, patients characteristics and procedures performed using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Hospital characteristics were calculated from the State Inpatient Database or obtained from the American Hospital Association (AHA) Annual Survey Database.
Cesarean deliveries were identified with a combination of ICD-9-CM diagnosis and procedure codes as previously described.12 Discharges were excluded if information on the type of anesthesia provided was missing, hospital identifier was missing, or if a clinical indication for general anesthesia was recorded.
New York State Inpatient Database is the only Healthcare Cost and Utilization Project participating state providing information on anesthesia care. Anesthesia type is reported as a categorical variable with values corresponding to general, regional, other, local, none, and missing. Each discharge record contains a maximum of one value for anesthesia type. For the purpose of the study, the variable was categorized as general anesthesia, regional (neuraxial) anesthesia, and missing. In this data set, anesthetics are coded hierarchically. For example, a woman who received general anesthesia for cesarean delivery because of a failed epidural catheter would be coded as general anesthesia. To take into account the experience of the anesthesia providers within each hospital in performing and managing neuraxial analgesia/anesthesia to obstetric patients, the annual proportion of women delivering with neuraxial analgesia/anesthesia during labor and vaginal deliveries (the labor epidural analgesia rate) was calculated for each hospital using State Inpatient Database data.
Adverse events
Five adverse events were analyzed: 1) the composite outcome of death or cardiac arrest, 2) anesthesia-related complications, 3) severe anesthesia-related complications, 4) surgical site infections, 5) and venous thromboembolic events (Supplemental Digital Content Table 2).
Death was directly recorded from the State Inpatient Database.
Anesthesia-related complications were divided into 3 groups: (1) systemic complications, (2) complications related to neuraxial techniques, and (3) complications related to anesthetic drugs. Severe anesthesia-related complications were defined as complications associated with death, cardiac arrest, severe organ dysfunction, or hospital stay greater than the 99th percentile (7 days) (Supplemental Digital Content Table 3). Organ dysfunction variables used to define severe complications reflects concurrent coding in individual cases, and do not establish a causal relationship between anesthesia and organ dysfunctions. Venous thromboembolic events included deep venous thrombosis and pulmonary embolism. Analysis of adverse events was limited to the index hospitalization and did not analyze readmissions.
Patient- and hospital-level factors
The following patient-level factors were recorded directly from the State Inpatient Database: age, race and ethnicity, insurance type, admission type (elective or non-elective), and admission for delivery during weekend. In the State Inpatient Databases, Hispanic ethnicity is considered as a distinct racial group. The comorbidity index for obstetric patients and the Charlson comorbidity index were calculated using previously described ICD-9-CM algorithms.13-15 Preexisting maternal conditions and pregnancy-associated conditions were identified with ICD-9-CM diagnostic codes (Supplemental Digital Content Table 4).
The following hospital-level factors were calculated from the State Inpatient Database: annual proportion of neuraxial techniques during labor and vaginal deliveries, annual volume of delivery, annual proportion of admission during weekend, annual proportion of high-risk pregnancy, and annual intensity of coding. High-risk pregnancies were defined as a comorbidity index for obstetrics patients ≥ 2.15 Intensity of coding was the mean number of diagnosis and procedure codes reported per discharge.3,16
The following hospital-level factors were obtained from the AHA Annual Survey Database: hospital location (rural or urban), teaching status, and neonatal level-of-care designation (1, 2 or 3). Rural hospital location included micropolitan or rural areas based on the Core Based Statistical Areas (CBSAs). A micropolitan area corresponds to at least an urban cluster that has a population of at least 10,000 but less than 50,000. A teaching hospital had an affiliation to a medical school or residency training accreditation. Neonatal level-of-care 1 hospitals provide basic neonatal level of care, level 2 specialty neonatal care (e.g., care of preterm infants with birth weight ≥1500 g), and level 3 subspecialty neonatal intensive care (e.g., mechanical ventilation ≥ 24 hour).
In the final study sample, patient- and hospital-level factors with a count less than 10 in the general anesthesia group or in the neuraxial anesthesia group were excluded from the analysis.
Statistical analysis
Statistical analysis was performed with R version 3.4.1 (R Foundation for Statistical Computing, Vienna, Austria) and specific packages (mice for multiple imputations and lme4 for mixed-effect models).
Results are expressed as mean (1 standard deviation) or count (percent or per 10,000).
Comparison of continuous variables used Student t test and comparison of categorical variables Chi-square test. Missing values were estimated using multiple imputations (Supplemental Digital Content Table 5).
- Risk of serious adverse events associated with general anesthesia
Unadjusted odds ratios for the 5 adverse events associated with general anesthesia were calculated using univariate logistic regression. Adjusted odds ratio were calculated using an inverse probability of treatment weighting approach.17,18 Because we examined 5 adverse events, we used a Bonferroni correction with a P-value threshold for statistical significance of 0.05/5 =0.01.
The probability of treatment (i.e., general anesthesia) was calculated using a mixed-effect logistic regression model. In this model, the random effect was the hospital identifier (normally distributed intercept and constant slope); the fixed-effects were the year of delivery and patient and hospital characteristics described in the Supplemental Digital Content Table 6. Both the fixed and random effects were used to calculate the individual probability of receiving general anesthesia (i.e, the propensity score).
Inverse probability weights were calculated using the propensity score. Using weights aims to create a synthetic sample in which the distribution of measured baseline covariates is independent of treatment assignment (i.e., general anesthesia). This approach is similar to the use of survey sampling weights that are used to weight survey samples so that they are representative of specific populations. Inverse weights were stabilized and truncated at 1 and 99%. Inverse stabilized weights for women who received general anesthesia were calculated as P(Z = 1)/P(Z = 1∣X) where P(Z = 1) is the probability of general anesthesia in the study sample (i.e., prevalence) and P(Z = 1∣X) the individual probability of general anesthesia conditional of the set of predictors (i.e., propensity score). Inverse stabilized weights for women who did not receive general anesthesia were calculated as 1 − P(Z = 1)/(1 − P(Z = 1∣X)).
The likelihood of serious adverse event associated with general anesthesia was quantified with the odds ratio from a mixed-effect logistic regression. In this model, the outcome was the examined adverse event, the random effect was the hospital identifier, the fixed effect was the exposure to general anesthesia, and the weight was the inverse stabilized weight.
We re-estimated the adjusted odds ratio for the 5 adverse outcomes examined in 2 sensitivity analyses after limitation of the study sample to 1) women with a Charlson comorbidity index ≤ 1 and a comorbidity index for obstetric patients ≤ 1 (with all other inclusion criteria unchanged) and 2) women with a Charlson comorbidity index = 0 and a comorbidity index for obstetric patients =0 (with all other inclusion criteria unchanged).
- Temporal trends in the utilization of general anesthesia
General anesthesia rate was calculated for each 2-year interval of the 12-year study period. The percent change for rates over the study period was calculated as the difference between the rate in 2013-2014 and the rate in 2003-2004 divided by the rate in 2003-2004. The 95% CI for the percent change was calculated. The Cochran–Armitage test for trends was used to assess the statistical significance of changes of rate over time. Trends were assessed overall, according to 3 hospital characteristics (rural or urban location, teaching status, and annual volume of deliveries), and according to 2 patients characteristics (Medicaid/Medicare status and race).
- Risk factors for general anesthesia
To take into consideration the nested nature of patients within hospitals, identification of patient- and hospital-level factors associated with general anesthesia used a mixed-effect logistic regression. In this model, the patient-and hospital-level factors with a P-value < 0.2 in the univariate analysis were included as fixed effects, along with the year of delivery and the intensity of coding. The random effect was the hospital identifier with the assumption of a normally distributed intercept and a constant slope. The selection of variables used a backward procedure with a P-threshold of 0.05 for exclusion of variables. Discrimination of the model was assessed with the C-index.
The relationship between continuous variables and the probability of general anesthesia use was examined using the relationship between the continuous variable and the logarithm of the probability of receiving general anesthesia. Continuous predictors with a non-linear relationship with the outcome were categorized; predictors with linear relationship were kept continuous or categorized according to clinically relevant thresholds.
Results
During the study period, 864,058 cesarean delivery discharges were identified; of them, 60,502 (7.00%) were completed under general anesthesia (Figure 1). After excluding 398,044 cases with accepted indications for general anesthesia, the final study sample consisted of 466,014 cesarean deliveries, including 26,431 cases (5.67%) completed under general anesthesia without a recorded clinical indication.
Figure 1: Flowchart of the study.
a The hospital annual proportion of women who received neuraxial techniques during labor and vaginal deliveries and the temporal trends in the utilization of neuraxial techniques during labor and vaginal deliveries were calculated in these discharges
b Does not round up
Comparing the excluded cases (those with a clinical indication for general anesthesia) with cases without a recorded clinical indication, the rate of general anesthesia was higher in discharges with a clinical indication for general anesthesia (8.56% versus 5.67%; P < 0.001). The rates of adverse events in discharges with a clinical indication for general anesthesia were also significantly higher than in discharges without a clinical indication for general anesthesia (Table 2). General anesthesia cases without an indication accounted for 43.69% of all general anesthesia cases (with and without and indication).
Table 2:
Comparison of cesarean delivery discharges with and without a recorded clinical indication for general anesthesia.
| Recorded clinical indication for general anesthesia (N = 398,044) |
No recorded clinical indication for general anesthesia (N = 466,014) |
P-value a | |
|---|---|---|---|
| Exposure | |||
| General anesthesia | 34,071 (8.56%) | 26,431 (5.67%) | < 0.001 |
| Adverse events | |||
| Death or cardiac arrest (missing = 4) | 261 (6.6 per 10,000) | 31 (0.7 per 10,000) | < 0.001 |
| Anesthesia-related complications | 2345 (58.9 per 10,000) | 2757 (59.2 per 10,000) | 0.89 |
| Severe anesthesia-related complications (missing = 4) b | 341 (8.6 per 10,000) | 117 (2.5 per 10,000) | < 0.001 |
| Surgical site infection | 4226 (106.2 per 10,000) | 3154 (67.7 per 10,000) | < 0.001 |
| Venous thromboembolic events | 710 (17.8 per 10,000) | 342 (7.3 per 10,000) | < 0.001 |
Results are expressed as count (% or per 10,000 of discharges with or without a clinical indication for general anesthesia).
The P-value for statistical significance for adverse events is 0.01.
Complications associated with death, cardiac arrest, severe organ dysfunction, or hospital stay ≥ 99th percentile (7 days)
Risk of serious adverse events associated with general anesthesia
The risk of serious adverse events associated with general anesthesia without a recorded clinical indication before and after adjustment is presented in Table 3. After adjustment, general anesthesia was associated with a significant increase in the risk of anesthesia-related complications (overall and severe), surgical site infection, and venous thromboembolic events. It was not associated with an increased risk of the composite outcome of death or cardiac arrest. Results were unchanged in the 2 sensitivity analyses examining various cutoffs values for the comorbidity index for obstetric patients and the Charlson comorbidity index (Supplemental Digital Content Table 7).
Table 3:
Adverse events in the 466,014 cesarean deliveries without a recorded clinical indication for general anesthesia in the State Inpatient Database for New York 2003-2014.
| Neuraxial anesthesia (N = 439,583) |
General anesthesia (N = 26,431) |
Crude OR (95% CI) |
P-value a | Adjusted OR b (95% CI) |
P-value a | |
|---|---|---|---|---|---|---|
| Death or cardiac arrest (missing = 2) | 27 (0.6 per 10,000) | --c | --c | 0.096 | 2.44 (0.67-8.93) | 0.18 |
| Anesthesia-related complications | 2540 (57.8 per 10,000) | 217 (82.1 per 10,000) | 1.42 (1.24-1.64) | < 0.001 | 1.62 (1.37-1.92) | < 0.001 |
| Severe anesthesia-related complications d (missing = 2) | 118 (2.7 per 10,000) | 18 (6.8 per 10,000) | 2.54 (1.55-4.17) | < 0.001 | 2.86 (1.58-5.19) | < 0.001 |
| Surgical site infections | 2812 (64.0 per 10,000) | 342 (129.4 per 10,000) | 2.04 (1.82-2.28) | < 0.001 | 1.74 (1.47-2.06) | < 0.001 |
| Venous thromboembolic events | 311 (7.1 per 10,000) | 31 (11.7 per 10,000) | 1.66 (1.15-2.40) | 0.009 | 1.92 (1.23-2.97) | 0.004 |
Abbreviations: CI: confidence interval; OR: odds ratio.
Results are expressed as count (per 10,000 of discharges with neuraxial or general anesthesia).
The P-value for statistical significance is 0.01.
Adjustment using propensity score weighting
Because of Healthcare Cost and Utilization Project data use agreement restrictions on small cell size, the number of observed cases and exact proportions are not presented.
Complications associated with death, cardiac arrest, severe organ dysfunction, or hospital stay ≥ 99th percentile (7 days)
Temporal trends in the utilization of general anesthesia
The rate of general anesthesia for cesarean delivery without a recorded clinical indication decreased from 5.6% in 2003-2004 to 4.8% in 2013-2014 (14% decrease; 95% CI, 10-18; P < 0.001). A statistically significant decrease was observed in all subgroup analyses according to patients and hospital characteristics except for high-delivery volume hospitals and minority patients (Supplemental Digital Content Table 8). In hospitals with more than 2500 annual deliveries, no change in the utilization of general anesthesia without a recorded clinical indication was observed. In minority women, the utilization of general anesthesia increased from 5.4% in 2003-2004 to 6.0% in 2013-2014 (11% increase; 95% CI, 4-18; P < 0.001).
During the study period, the utilization of neuraxial technique during labor and vaginal deliveries increased significantly across racial groups and hospitals (Supplemental Digital Content Table 9).
Risk factors for general anesthesia use
The univariable comparisons of cesarean deliveries with general or neuraxial anesthesia is presented in Table 4. In the final multilevel model (Table 5), the following patient-level factors were associated with a significantly increased likelihood of potentially avoidable general anesthesia: age less than 19 years, racial or ethnic minority, Medicaid or Medicare beneficiaries, preexisting or pregnancy-associated conditions, non-elective admission, and admission during weekend. Hospital-level factors associated with a significantly increased odds of general anesthesia were: teaching hospital, neonatal level-of-care designation 1 or 3, lower utilization of neuraxial techniques during labor and vaginal deliveries, higher annual volume of deliveries, and higher proportion of women with a comorbidity index greater than 2. Relative to hospitals with labor neuraxial analgesia rate ≥ 75%, the adjusted odds ratios of potentially avoidable general anesthesia increased to 1.35, 1.60, and 3.24 as the labor neuraxial analgesia rate decreased to 50-74.9%, 25-49.9% and <25%, respectively.
Table 4:
Univariable analysis of risk factors for the utilization of general anesthesia in the 466,014 cesarean deliveries without a recorded clinical indication for general anesthesia in the State Inpatient Databases for New York 2003-2014.
| Neuraxial anesthesia (N = 439,583) |
General anesthesia (N = 26,431) |
Odds ratio (95% CI) |
P-value | |
|---|---|---|---|---|
| General characteristics | ||||
| Age (year) | < 0.001 | |||
| - ≤ 19 | 15,021 (3.4%) | 951 (3.6%) | Reference | |
| - 20-29 | 180,211 (41.0%) | 9320 (35.3%) | 0.82 (0.76-0.88) | |
| - 30-39 | 234,875 (53.4%) | 15,291 (57.9%) | 1.03 (0.96-1.10) | |
| - ≥ 40 | 9476 (2.2%) | 869 (3.3%) | 1.45 (1.32-1.59) | |
| Race and ethnicity (missing = 12,362) | < 0.001 | |||
| - White | 227,379 (53.2%) | 12,245 (46.8%) | Reference | |
| - Black | 57,178 (13.4%) | 2692 (10.3%) | 0.87 (0.84-0.91) | |
| - Hispanic | 73,928 (17.3%) | 4733 (18.1%) | 1.19 (1.15-1.23) | |
| - Asian and Pacific Islander | 26,901 (6.3%) | 4017 (15.4%) | 2.77 (2.67-2.88) | |
| - Other | 42,109 (9.9%) | 2470 (9.4%) | 1.09 (1.04-1.14) | |
| Insurance | < 0.001 | |||
| - Medicare and Medicaid | 161,531 (36.7%) | 10,504 (39.7%) | Reference | |
| - Private insurance | 253,970 (57.8%) | 15,441 (58.4%) | 0.93 (0.91-0.96) | |
| - Self-pay | 14,874 (3.4%) | 255 (1.0%) | 0.26 (0.23-0.30) | |
| - Other | 9208 (2.1%) | 231 (0.9%) | 0.39 (0.34-0.44) | |
| Admission | ||||
| Elective admission (missing = 1094) | 285,608 (65.1%) | 19,738 (74.9%) | 1.60 (1.55-1.65) | < 0.001 |
| Admission during weekend | 53,687 (12.2%) | 4044 (15.3%) | 1.30 (1.25-1.34) | < 0.001 |
| Preexisting maternal conditions | ||||
| Mental retardation | 91 (0.02%) | 14 (0.05%) | 2.56 (1.46-4.49) | 0.001 |
| Depression | 6210 (1.4%) | 424 (1.6%) | 1.14 (1.03-1.26) | 0.011 |
| Schizophrenia | 186 (0.04%) | 15 (0.06%) | 1.34 (0.79-2.27) | 0.34 |
| Bipolar disorders | 1648 (0.4%) | 109 (0.4%) | 1.10 (0.91-1.34) | 0.36 |
| Drug use | 241 (0.1%) | 16 (0.1%) | 1.10 (0.67-1.83) | 0.80 |
| Smoking | 6945 (1.6%) | 437 (.7%) | 1.05 (0.95-1.15) | 0.37 |
| Preexisting hypertension | 2091 (0.5%) | 122 (0.5%) | 0.97 (0.81-1.17) | 0.78 |
| Heart valve disease | 734 (0.2%) | 67 (0.3%) | 1.52 (1.18-1.95) | 0.001 |
| Cardiac arythmias | 237 (0.05%) | 13 (0.05%) | 0.91 (0.52-1.59) | 0.85 |
| Cardiac conduction disorders | 1800 (0.4%) | 135 (0.5%) | 1.25 (1.05-1.49) | 0.015 |
| Obesity | 15,567 (3.5%) | 652 (2.5%) | 0.69 (0.64-0.75) | < 0.001 |
| Lupus | 278 (0.06%) | 31 (0.12%) | 1.86 (1.28-2.69) | 0.001 |
| HIV infection | 632 (0.1%) | 33 (0.1%) | 0.87 (0.61-1.23) | 0.48 |
| Asthma | 2024 (0.4%) | 119 (0.4%) | 0.98 (0.81-1.18) | 0.84 |
| Chronic kidney disease | 256 (0.1%) | 16 (0.1%) | 1.04 (0.63-1.72) | 0.98 |
| Chronic hepatitis | 170 (0.04%) | 21 (0.08%) | 2.06 (1.31-3.23) | 0.002 |
| Pregnancy-associated conditions | ||||
| Gestational hypertension | 6444 (1.5%) | 407 (1.5%) | 1.05 (0.95-1.16) | 0.34 |
| Preeclampsia and eclampsia | 8227 (1.9%) | 440 (1.7%) | 0.89 (0.81-0.98) | 0.017 |
| Previous cesarean delivery | 224,273 (51.0%) | 11,567 (43.8%) | 0.75 (0.73-0.77) | < 0.001 |
| Uterine scar | 3619 (0.8%) | 359 (1.4%) | 1.66 (1.49-1.8) | < 0.001 |
| Pregnancy resulting from ART | 885 (0.2%) | 213 (0.8%) | 4.03 (3.47-4.68) | < 0.001 |
| Multiple gestation | 1608 (0.4%) | 112 (0.4%) | 1.16 (0.96-1.40) | 0.14 |
| Abnormal presentation | 89,654 (20.4%) | 6079 (23.0%) | 1.17 (1.13-1.20) | < 0.001 |
| Fetal macrosomia | 31,231 (7.1%) | 1243 (4.7%) | 0.65 (0.61-0.68) | < 0.001 |
| Hospital | ||||
| Urban hospital (missing = 1894) | 412,275 (94.2%) | 25,013 (94.8%) | 1.12 (1.06-1.18) | < 0.001 |
| Teaching hospital (missing = 1894) | 425,829 (97.3%) | 25,922 (98.2%) | 1.54 (1.40-1.69) | < 0.001 |
| Neonatal level-of-care designation (missing = 91,819) | < 0.001 | |||
| - 1 | 91,293 (25.8%) | 3991 (19.9%) | 3.02 (2.82-3.24) | |
| - 2 | 70,567 (19.9%) | 1020 (5.1%) | Reference | |
| - 3 | 192,292 (54.3%) | 15,032 (75.0%) | 5.41 (5.07-5.77) | |
| Neuraxial use during labor and vaginal deliveries (Missing = 10) | < 0.001 | |||
| - ≥ 75% | 141,008 (32.1%) | 3882 (14.7%) | Reference | |
| - 50 to 74.9% | 106,695 (24.3%) | 3716 (14.1%) | 1.27 (1.21-1.32) | |
| - 25 to 49.9% | 42,432 (9.7%) | 2487 (9.2%) | 2.13 (2.02-2.24) | |
| - ≤ 24.9% | 149,441 (34.0%) | 16,343 (61.8%) | 3.97 (3.83-4.12) | |
| Volume of delivery | ||||
| - ≤ 500 | 24,782 (5.6%) | 1664 (6.3%) | 2.48 (2.35-2.62) | |
| - 501-2499 | 218,865 (49.8%) | 5921 (22.4%) | Reference | |
| - ≥ 2500 | 195,936 (44.6%) | 18,846 (71.3%) | 3.56 (3.45-3.66) | |
| Percent admission during weekend ≥ 20% | 236,963 (53.9%) | 21,699 (82.1%) | 3.92 (3.80-4.05) | < 0.001 |
| Percent comorbidity index in deliveries ≥ 2 | < 0.001 | |||
| - ≤ 15% | 52,206 (11.9%) | 6070 (23.0%) | 3.66 (3.53-3.78) | |
| - 15.1-24.9% | 268,684 (61.1%) | 8546 (32.3%) | Reference | |
| - ≥ 25% | 118,693 (27.0%) | 11,815 (44.7%) | 3.13 (3.04-3.22) | |
| Coding intensitya | 6.6 (1.1) | 6.9 (1.2) | 1.33 (1.32-1.34) | < 0.001 |
Abbreviations: ART: assisted reproductive technology; CI: confidence interval
Results are expressed as mean (1 standard deviation) or count (%)
The mean number of diagnosis and procedure codes reported per discharge
Table 5:
Multivariable analysis of risk factors for the utilization of general anesthesia in the 466,014 cesarean deliveries without a recorded clinical indication for general anesthesia in the State Inpatient Database for New York 2003-2014.
| Odds ratio (95% CI) | P-value | |
|---|---|---|
| General characteristics | ||
| Age (year) | ||
| - ≤ 19 | Reference | Reference |
| - 20-29 | 0.79 (0.73-0.85) | < 0.001 |
| - 30-39 | 0.78 (0.72-0.85) | < 0.001 |
| - ≥ 40 | 0.74 (0.65-0.86) | < 0.001 |
| Race and ethnicity | ||
| - White | Reference | Reference |
| - Black | 1.27 (1.20-1.35) | < 0.001 |
| - Hispanic | 1.15 (1.08-1.21) | < 0.001 |
| - Asian and Pacific Islander | 1.04 (0.97-1.12) | 0.27 |
| - Other | 1.10 (1.03-1.18) | 0.007 |
| Insurance | ||
| - Medicare and Medicaid | Reference | Reference |
| - Private insurance | 0.85 (0.81-0.89) | < 0.001 |
| - Self-pay | 1.06 (0.90-1.24) | 0.48 |
| - Other | 0.73 (0.63-0.84) | < 0.001 |
| Preexisting conditions | ||
| Mental retardation | 3.69 (1.96-6.97) | < 0.001 |
| Depression | 1.32 (1.15-1.50) | < 0.001 |
| Heart valve disease | 1.59 (1.11-2.28) | 0.011 |
| Cardiac conduction disorders | 1.67 (1.33-2.10) | < 0.001 |
| Obesity | 1.18 (1.07-1.29) | < 0.001 |
| Chronic hepatitis | 3.64 (2.05-6.46) | < 0.001 |
| Pregnancy-associated conditions | ||
| Preeclampsia and eclampsia | 1.14 (1.02-1.29) | 0.025 |
| Previous cesarean delivery | 0.77 (0.74-0.80) | < 0.001 |
| Pregnancy resulting from ART | 1.59 (1.14-2.21) | 0.006 |
| Fetal macrosomia | 0.77 (0.72-0.84) | < 0.001 |
| Admission | ||
| Elective admission | 0.83 (0.79-0.88) | < 0.001 |
| Admission during weekend | 1.06 (1.01-1.11) | 0.034 |
| Hospital | ||
| Teaching hospital | 1.29 (1.11-1.50) | < 0.001 |
| Neonatal level of care | ||
| - 1 | 1.35 (1.24-1.48) | < 0.001 |
| - 2 | Reference | Reference |
| - 3 | 1.92 (1.75-2.11) | < 0.001 |
| Volume of delivery | ||
| - ≤ 500 | 1.15 (0.98-1.35) | 0.10 |
| - 501-2499 | Reference | Reference |
| - ≥ 2500 | 1.34 (1.22-1.47) | < 0.001 |
| Neuraxial use during vaginal deliveries | ||
| - ≥ 75% | Reference | Reference |
| - 50 to 74.9% | 1.35 (1.27-1.44) | < 0.001 |
| - 25 to 49.9% | 1.60 (1.49-1.73) | < 0.001 |
| - ≤ 24.9% | 3.24 (3.03-3.48) | < 0.001 |
| Percent comorbidity index in deliveries ≥ 2 | ||
| - ≤ 15% | 0.85 (0.80-0.91) | < 0.001 |
| - 15.1-24.9% | Reference | Reference |
| - ≥ 25% | 1.16 (1.06-1.26) | < 0.001 |
Abbreviations: ART: assisted reproductive technology; CI: confidence interval
The c-index of the model is 0.909 (95% CI, 0.907-0.911). The year of delivery and intensity of coding were also included in the model.
Discussion
In this 12-year study, we analyzed risks, time trends, and risk factors for potentially avoidable general anesthesia for cesarean delivery. The major findings were: 1) a high proportion of potentially avoidable general anesthesia among all general anesthesia cases (44%); 2) a decrease over time in potentially avoidable general anesthesia cases except in minority women and in high-volume hospitals; 3) a significant increase in the risk of serious adverse events when cesarean delivery was performed under general anesthesia compared to neuraxial anesthesia; 4) several patient- and hospital-level factors associated with potentially avoidable general anesthesia, with some of them directly actionable.
Risk of adverse events associated with general anesthesia
Contrary to previous research, we did not observe an increased risk of death or cardiac arrest associated with general anesthesia compared to neuraxial anesthesia.1,2 This apparent discrepancy can be explained by the exclusion in our analysis of discharges recording severe comorbidities and high-risk obstetrical situations (Charlson comorbidity index ≥ 2 or comorbidity index for obstetric patients ≥ 3), which are strongly associated with the risk of near-miss maternal morbidity or mortality.19 However, we observed a significantly increased risk of anesthesia-related complications (overall and severe) and surgical site infections. It confirms previous research on the risks associated with general anesthesia for cesarean delivery and extends it to cases of potentially avoidable general anesthesia.3,4
Increased risk of surgical infection associated with general anesthesia has also been reported in planned orthopedic surgery. The increased risk associated with general anesthesia in cesarean delivery may not only be related to the urgency of the procedure. Several mechanisms have been suggested to account for the decreased risk of surgical infection associated with neuraxial techniques.20 They include an attenuated inflammatory response to surgery, an improvement in tissue oxygenation through the vasodilation induced by neuraxial techniques, and an enhanced postoperative analgesia with a decrease in pain-associated autonomic response and subsequent vasoconstriction. In addition, we extend the previously reported association between neuraxial techniques and decreased risk of venous thromboembolic events to cesarean deliveries.21 This decreased risk is thought to be related to improved blood flow through the legs secondary to sympathectomy-induced vasodilatation. Venous thromboembolic disease is a leading cause of maternal morbidity and mortality in the United States and one of the three priority conditions targeted by the National Partnership for Maternal Safety to decrease maternal morbidity and mortality.22,23
Whereas increased risks of anesthesia-related complications, surgical site infection, and venous thromboembolic events associated with general anesthesia could be considered acceptable when general anesthesia was clinically indicated and could have not been avoided, risks would be less acceptable when general anesthesia was potentially avoidable. In other words, efforts to reduce the use of general anesthesia for cesarean delivery should probably target cases without a recorded clinical indication.
Temporal trends
We observed a 14% decrease in the utilization of potentially avoidable use of general anesthesia for cesarean delivery. This indicate that obstetric anesthesia providers have increasingly favored neuraxial over general anesthesia for cesarean delivery, as recommended by the successive ASA Practice Guidelines for Obstetric Anesthesia.6,7 However, we observed an increase in the utilization of general anesthesia in minority women and no change in high-volume hospitals.
Using 1999-2002 data, Butwick et al. reported racial disparities in the utilization of general anesthesia for cesarean delivery with a higher use of general anesthesia in African American women.11 Similarly, a lower use of neuraxial labor analgesia in minority women has been repeatedly reported.24 In this study, we observed that racial disparities in anesthesia care are increasing over time. One hypothesis for this finding is a lower increase in the utilization of labor neuraxial analgesia in minority women compared to non-minority women. However, in the current study, we observed an increase in the utilization of labor neuraxial analgesia for both minority and non-minority women suggesting that the increased utilization of general anesthesia observed in minority patients is related to other mechanisms.
Contrasting with a decreased utilization of general anesthesia in low- and intermediate-volume hospitals, we observed no change in high-volume hospitals. This trend was also observed for cesarean deliveries with a recorded indication for general anesthesia (Supplemental Digital Content Table 10). It may reflect the redistribution of high-risk patients (i.e., women with severe comorbidities) or high-risk deliveries (e.g., previous cesarean delivery) to high-volume centers (regionalization of care).
Patient-level factors associated with general anesthesia
We confirm previous research on patient-level factors that identified higher odds of general anesthesia in younger women, minority women, Medicaid beneficiaries, women with preexisting or pregnancy-associated conditions, women admitted during week-end, and women with a non-elective admission.9,11,25,26 Although many of these factors do not seem easily amenable, some of them could indicate areas for possible actions such as younger maternal age and admission during weekend.
Previous studies suggests that younger patients spontaneously tend to favor general anesthesia for a surgical procedure, especially younger patients.27,28 Lower anticipated and actual use of neuraxial analgesia during labor is also reported in younger women.29 Provision of antenatal information about the benefits and risks of neuraxial analgesia intrapartum and neuraxial versus general anesthesia for cesarean delivery may help reduce the general anesthesia use in this population.
Increased use of general anesthesia in women admitted during weekend could be related to the commonly called “week-end effect” or worse outcomes in patients admitted on Saturday or Sunday.30 Possible mechanisms accounting for this weekend effect include difference in patient case-mix and suboptimal quality of care resulting from reduction in staffing or presence of less experienced providers.31 A 2015 survey of obstetric anesthesia directors in academic center reports that up to 60% hospitals do not have an in-house dedicated team for the labor and delivery unit during weekends indicating a change in staffing composition and likely experience.32 Since our multilevel model adjusts for case mix, we suggest that increased use of general anesthesia during weekend may be related to understaffing or provision of care by less experienced physicians.33,34
Hospital-level factors associated with general anesthesia
Hospital-level factors associated with the use of general anesthesia have not previously been thoroughly evaluated, with only one recent study indicating a higher proportion of general anesthesia in university hospitals.9 In the current study, we confirm a higher use of general anesthesia in university hospitals and identified higher annual volume of delivery, higher proportion of high-risk pregnancy, lower labor neuraxial analgesia rate, and neonatal level-of-care designations 1 or 3 as new risk factors. Similar to patient-level factors, many of the hospital-level factors associated with general anesthesia are beyond the control of the anesthesiologists except for the utilization of neuraxial techniques during labor.
We found that in hospitals with a lower labor epidural analgesia rate, the general anesthesia rate for cesarean delivery was significantly higher. The exact mechanisms accounting for a low labor neuraxial analgesia rate in some hospitals are difficult to determine using administrative data. One explanation is that, with a low epidural analgesia rate, the experience and expertise of anesthesia providers may be limited, which results in their preference to perform general anesthesia for cesarean deliveries. Another explanation is the lack of availability of a dedicated anesthesia team for obstetric anesthesia care, and the low epidural analgesia rate is a surrogate marker for lack of 24/7 anesthesia services, which increases the likelihood of general anesthesia for urgent or even less urgent cesarean deliveries. In other words, labor epidural analgesia rate could be less a measure of clinician experience but rather physical presence and involvement on the labor and delivery unit and intensity of services.35 Since general anesthesia without a clinical indication was associated with a higher risk of adverse events, this finding should be viewed as a strong incentive to target quality assurance programs to hospitals with a low use of neuraxial techniques such as developing dedicated staffing for the labor and delivery unit. Free from duties outside of this unit, dedicated teams could improve the intensity of services.
Limitations of the study
We acknowledge several limitations to our study. First, we had to apply ICD-9-CM codes and not individual chart review for the definition of exposure, the lack of or presence of a clinical indication for general anesthesia for cesarean delivery. It is therefore possible that a case may have had a clinical indication that was not captured by ICD-9-CM coding (either by missing code or a clinical circumstance not recorded appropriately). Furthermore, some factors associated with the use of general anesthesia are not available in administrative data, such as (1) patients’ request for general anesthesia (or refusal of neuraxial anesthesia) and, (2) a non-functional epidural catheter for intrapartum cesarean delivery or a general anesthetic being needed for rescue of a failed neuraxial anesthetic. Therefore, a proportion of general anesthesia cases may have been due to patient refusal of neuraxial analgesia/anesthesia, or rescue general anesthesia if neuraxial anesthesia was not adequate for cesarean delivery (either due to emergent intrapartum cesarean delivery or simply because of a failed neuraxial anesthetic). Several studies suggest that patient refusal represent a small proportion of general anesthesia for cesarean delivery cases.10,26 For example, in a series of 98 cases of general anesthesia for cesarean delivery in an academic hospital, Palinisamy et al. report that patient refusal of neuraxial technique accounted for only 1% of the cases.26 However, the incidence of failed epidural catheter is much higher and up to 12% in a recent study.36 Another limitation is that our analysis is limited to practice in New York State because it is the only Healthcare Cost and Utilization Project participating State that provides information on anesthesia care; therefore our findings may not be generalizable because of marked variations in anesthesia care between states. Indeed, Butwick et al. reported the current overall labor neuraxial analgesia rate in the United States to be 73%, but with a minimum of 37% in the state of Maine and a maximum of 80% in the state of Utah.37 From an analytical standpoint, although we limited our study sample to women without a recorded clinical indication for general anesthesia, adjusted for a large set of confounders using propensity score weighting, and conducted sensitivity analyses to test the robustness of our main analysis, we cannot exclude some residual confounding in the estimate of the adjusted odds of adverse events associated with general anesthesia compared to neuraxial anesthesia. Last, we cannot report on the influence of the anesthesia provider on general anesthesia use without a recorded clinical indication; non-obstetric anesthesiologists care has been associated with an increased use of general anesthesia for cesarean delivery through failed intrapartum conversion of labor epidural analgesia into surgical anesthesia.34,38,39. Unfortunately, we do not have any information about anesthesia providers characteristics.
Conclusion
In this cohort, we identified that 44% of general anesthesia cases for cesarean delivery were potentially avoidable, which was associated with an increased risk of maternal adverse events, including venous thromboembolic events. A low hospital-level utilization of neuraxial techniques during labor was one of the strongest predictor of potentially avoidable use of general anesthesia for cesarean delivery.
Supplementary Material
Sources of financial support:
Jean Guglielminotti is supported by a R03 (1 R03 HS025787-01) from the Agency for Healthcare Research and Quality.
Footnotes
Competing interests: The authors declare no competing interests.
References
- 1.Hawkins JL, Chang J, Palmer SK, Gibbs CP, Callaghan WM: Anesthesia-related maternal mortality in the United States: 1979-2002. Obstet Gynecol 2011; 117: 69–74 [DOI] [PubMed] [Google Scholar]
- 2.Mhyre JM, Tsen LC, Einav S, Kuklina EV, Leffert LR, Bateman BT: Cardiac arrest during hospitalization for delivery in the United States, 1998-2011. Anesthesiology 2014; 120: 810–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Guglielminotti J, Deneux-Tharaux C, Wong CA, Li G: Hospital-level factors associated with anesthesia-related adverse events in cesarean deliveries, New York State, 2009-2011. Anesth Analg 2016; 122: 1947–56 [DOI] [PubMed] [Google Scholar]
- 4.Tsai PS, Hsu CS, Fan YC, Huang CJ: General anaesthesia is associated with increased risk of surgical site infection after Caesarean delivery compared with neuraxial anaesthesia: A population-based study. Br J Anaesth 2011; 107: 757–61 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Royal College of Physicians (UK). Venous thromboembolism: Reducing the risk of venous thromboembolism (deep vein thrombosis and pulmonary embolism) in patients admitted to hospital. Available at: https://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0051769/pdf/PubMedHealth_PMH0051769.pdf Last accessed: June 1, 2018. [PubMed]
- 6.American Society of Anesthesiologists: Practice guidelines for obstetric anesthesia: An updated report by the American Society of Anesthesiologists Task Force on Obstetric Anesthesia and the Society for Obstetric Anesthesia and Perinatology. Anesthesiology 2016; 124: 270–300 [DOI] [PubMed] [Google Scholar]
- 7.American Society of Anesthesiologists Task Force on Obstetric Anesthesia: Practice guidelines for obstetric anesthesia: An updated report by the American Society of Anesthesiologists Task Force on Obstetric Anesthesia. Anesthesiology 2007; 106: 843–63 [DOI] [PubMed] [Google Scholar]
- 8.Guglielminotti J, Wong CA, Landau R, Li G: Temporal trends in anesthesia-related adverse events in cesarean deliveries, New York State, 2003-2012. Anesthesiology 2015; 123: 1013–1023 [DOI] [PubMed] [Google Scholar]
- 9.Juang J, Gabriel RA, Dutton RP, Palanisamy A, Urman RD: Choice of anesthesia for cesarean delivery: An analysis of the National Anesthesia Clinical Outcomes Registry. Anesth Analg 2017; 124: 1914–1917 [DOI] [PubMed] [Google Scholar]
- 10.D’Angelo R, Smiley RM, Riley ET, Segal S: Serious complications related to obstetric anesthesia. Anesthesiology 2014; 120: 1005–12 [DOI] [PubMed] [Google Scholar]
- 11.Butwick AJ, Blumenfeld YJ, Brookfield KF, Nelson LM, Weiniger CF: Racial and ethnic disparities in mode of anesthesia for cesarean delivery. Anesth Analg 2016; 122: 472–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kuklina EV, Whiteman MK, Hillis SD, Jamieson DJ, Meikle SF, Posner SF, Marchbanks PA: An enhanced method for identifying obstetric deliveries: Implications for estimating maternal morbidity. Matern Child Health J 2008; 12: 469–77 [DOI] [PubMed] [Google Scholar]
- 13.Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, Januel JM, Sundararajan V: Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 2011; 173: 676–82 [DOI] [PubMed] [Google Scholar]
- 14.Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005; 43: 1130–9 [DOI] [PubMed] [Google Scholar]
- 15.Bateman BT, Mhyre JM, Hernandez-Diaz S, Huybrechts KF, Fischer MA, Creanga AA, Callaghan WM, Gagne JJ: Development of a comorbidity index for use in obstetric patients. Obstet Gynecol 2013; 122: 957–65 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Iezzoni LI, Daley J, Heeren T, Foley SM, Hughes JS, Fisher ES, Duncan CC, Coffman GA: Using administrative data to screen hospitals for high complication rates. Inquiry 1994; 31: 40–55 [PubMed] [Google Scholar]
- 17.Franklin JM, Eddings W, Austin PC, Stuart EA, Schneeweiss S: Comparing the performance of propensity score methods in healthcare database studies with rare outcomes. Stat Med 2017; 36: 1946–1963 [DOI] [PubMed] [Google Scholar]
- 18.Haukoos JS, Lewis RJ: The propensity score. JAMA 2015; 314: 1637–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mhyre JM, Bateman BT, Leffert LR: Influence of patient comorbidities on the risk of near-miss maternal morbidity or mortality. Anesthesiology 2011; 115: 963–72 [DOI] [PubMed] [Google Scholar]
- 20.Sessler DI: Neuraxial anesthesia and surgical site infection. Anesthesiology 2010; 113: 265–7 [DOI] [PubMed] [Google Scholar]
- 21.Smith LM, Cozowicz C, Uda Y, Memtsoudis SG, Barrington MJ: Neuraxial and combined neuraxial/general anesthesia compared to general anesthesia for major truncal and lower limb surgery: A systematic review and meta-analysis. Anesth Analg 2017; 125: 1931–1945 [DOI] [PubMed] [Google Scholar]
- 22.Creanga AA, Syverson C, Seed K, Callaghan WM: Pregnancy-related mortality in the United States, 2011-2013. Obstet Gynecol 2017; 130: 366–373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.D'Alton ME, Friedman AM, Smiley RM, Montgomery DM, Paidas MJ, D'Oria R, Frost JL, Hameed AB, Karsnitz D, Levy BS, Clark SL: National Partnership for Maternal Safety: Consensus bundle on venous thromboembolism. Anesth Analg 2016; 123: 942–9 [DOI] [PubMed] [Google Scholar]
- 24.Glance LG, Wissler R, Glantz C, Osler TM, Mukamel DB, Dick AW: Racial differences in the use of epidural analgesia for labor. Anesthesiology 2007; 106: 19–25 [DOI] [PubMed] [Google Scholar]
- 25.Obst TE, Nauenberg E, Buck GM: Maternal health insurance coverage as a determinant of obstetrical anesthesia care. J Health Care Poor Underserved 2001; 12: 177–91 [DOI] [PubMed] [Google Scholar]
- 26.Palanisamy A, Mitani AA, Tsen LC: General anesthesia for cesarean delivery at a tertiary care hospital from 2000 to 2005: A retrospective analysis and 10-year update. Int J Obstet Anesth 2011; 20: 10–6 [DOI] [PubMed] [Google Scholar]
- 27.Lee DH, Jung K, Kim H: Age as a determinant to select an anesthesia method for tympanostomy tube insertion in a pediatric population. J Audiol Otol 2015; 19: 45–50 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Shevde K, Panagopoulos G: A survey of 800 patients' knowledge, attitudes, and concerns regarding anesthesia. Anesth Analg 1991; 73: 190–8 [DOI] [PubMed] [Google Scholar]
- 29.Toledo P, Eosakul ST, Grobman WA, Feinglass J, Hasnain-Wynia R: Primary spoken language and neuraxial labor analgesia use among Hispanic Medicaid recipients. Anesth Analg 2016; 122: 204–9 [DOI] [PubMed] [Google Scholar]
- 30.Palmer WL, Bottle A, Aylin P: Association between day of delivery and obstetric outcomes: Observational study. BMJ 2015; 351: h5774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Manfredini R, De Giorgi A, Fabbian F: Acute diseases, emergency admissions and mortality during weekends: Should we be worried? J Thorac Dis 2017; 9: 2723–2727 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Tiouririne M, Butwick AJ: Patterns of obstetric anesthesia staffing and out-of-hours coverage at US academic obstetric centers. Society of Obstetric Anesthesia and Perinatology 47th Annual Meeting. Colorado Springs, Colorado: May 13-17, 2015 [Google Scholar]
- 33.Traynor AJ, Aragon M, Ghosh D, Choi RS, Dingmann C, Vu Tran Z, Bucklin BA: Obstetric Anesthesia Workforce Survey: A 30-Year Update. Anesth Analg 2016; 122: 1939–46 [DOI] [PubMed] [Google Scholar]
- 34.Bauer ME, Kountanis JA, Tsen LC, Greenfield ML, Mhyre JM: Risk factors for failed conversion of labor epidural analgesia to cesarean delivery anesthesia: A systematic review and meta-analysis of observational trials. Int J Obstet Anesth 2012; 21: 294–309 [DOI] [PubMed] [Google Scholar]
- 35.Bauer ME, Mhyre JM: Active management of labor epidural analgesia is the key to successful conversion of epidural analgesia to cesarean delivery anesthesia. Anesth Analg 2016; 123: 1074–1076 [DOI] [PubMed] [Google Scholar]
- 36.Booth JM, Pan JC, Ross VH, Russell GB, Harris LC, Pan PH: Combined spinal epidural technique for labor analgesia does not delay recognition of epidural catheter failures: A single-center retrospective cohort survival analysis. Anesthesiology 2016; 125: 516–24 [DOI] [PubMed] [Google Scholar]
- 37.Butwick A, Bradley J, Wong CA, Smnowden J, Guo N: State variation in neuraxial use during labor in the United States. Society of Obstetric Anesthesia and Perinatalogy 50th Annual Meeting. Miami, Florida: May 9-13, 2018 [Google Scholar]
- 38.Mankowitz SK, Gonzalez Fiol A, Smiley R: Failure to extend epidural labor analgesia for cesarean delivery anesthesia: A focused review. Anesth Analg 2016; 123: 1174–1180 [DOI] [PubMed] [Google Scholar]
- 39.Campbell DC, Tran T: Conversion of epidural labour analgesia to epidural anesthesia for intrapartum cesarean delivery. Can J Anaesth 2009; 56: 19–26 [DOI] [PubMed] [Google Scholar]
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