Multicenter study of obstetric admissions to 14 intensive care units in southern England

Prognostic scores for prediction of maternal near miss and maternal death after admission to an intensive care unit: A narrative review

Near miss morbidity and maternal death (defined as severe maternal outcomes - SMO) are the most important adverse outcomes in obstetric settings to assess delays and characteristics of health care management. Intensive care units (ICUs) represent an opportunity of adequate care for women who, in several cases, experienced earlier clinical delays in their maternal health care management. Some prognostic scores widely used in ICU have been useful in characterizing patients in terms of severity of illness in clinical studies, for evaluation of ICU performance, in quality improvement initiatives and for benchmark purposes. Prediction of SMO during the admission to the ICU could greatly improve obstetric care management. We reviewed the feasibility of the existing ICU clinical and obstetric prediction scores in predicting maternal near miss and maternal death.

Maternal Intensive Care Unit Admission as an Indicator of Severe Acute Maternal Morbidity: A Population-Based Study

BACKGROUND

Severe acute maternal morbidity (SAMM) accounts for any life-threatening complication during pregnancy or after delivery. Measuring and monitoring SAMM seem critical to assessing the quality of maternal health care. The objectives were to explore the validity of intensive care unit (ICU) admission as an indicator of SAMM by characterizing the profile of women admitted to an ICU and of their ICU stay, according to the association with other SAMM criterion.

METHODS

We performed a secondary analysis of the 2540 women with SAMM included in the epidemiology of severe acute maternal morbidity (EPIMOMS) multiregional prospective population-based study (2012-2013, n = 182,309 deliveries). The EPIMOMS definition of SAMM, based on national experts' consensus, is a combination of diagnosis, organ dysfunctions, and intervention criteria, including ICU admission. Among women with SAMM, we identified characteristics associated with maternal ICU admission with or with no other SAMM criterion compared with ICU admission, by using multivariable multinomial logistic regression models.

RESULTS

Overall, 511 women were admitted to an ICU during or up to 42 days after pregnancy, for a population-based rate of 2.8 of 1000 deliveries (511/182,309; 95% confidence interval [CI], 2.6-3.1); 15.5% of them (79/511; 95% CI, 12.4-18.9) had no other SAMM criterion compared with ICU admission. Among women with SAMM, the odds of ICU admission with no other morbidity criterion were increased in women with preexisting medical conditions (adjusted odds ratio (aOR), 2.13; 95% CI, 1.17-3.86) and cesarean before labor (aOR, 3.12; 95% CI, 1.47-6.64). Women admitted to ICU with no other SAMM criterion had more often decompensation of a preexisting condition, no interventions for organ support, and a shorter length of stay than women admitted with other SAMM criteria.

CONCLUSIONS

Among women with SAMM, 1 in 5 is admitted to an ICU; 15.5% of those admitted in ICU have no other SAMM criterion and a less acute condition. These results challenge the use of ICU admission as a criterion of SAMM.

The impact of an obstetrician-led, labor ward critical care unit: A prospective comparison of outcomes before and after establishment

OBJECTIVE

To investigate the outcomes of critically ill obstetric patients managed in a obstetric critical care unit in South Africa.

METHODS

Patients with severe maternal morbidity managed in the labor ward of Tygerberg Hospital were studied over three months before the establishment of the obstetrician-led obstetric critical care unit. One year later, patients managed in the obstetric critical care unit were studied using the same methods. The primary outcome measures were maternal morbidity and mortality.

RESULTS

In the before-obstetric critical care unit prospective audit 63 patients met criteria for obstetric critical care. During the second period 60 patients were admitted to the obstetric critical care unit. There were no significant differences between the groups in baseline characteristics, admission indications or Acute Physiology and Chronic Health Evaluation scores. Continuous positive airway pressure (p < 0.01) was utilized more in the second group. Seven deaths occurred in the first, but none in the second group (p = 0.01).

CONCLUSION

The establishment of an obstetrician-led obstetric critical care unit facilitated a decrease in maternal mortality.Trial registration: Not applicable.

Obstetric Early Warning Score for Prognostication of Critically Ill Obstetric Patient

Introduction

Obstetric early warning score (OEWS) has been used conventionally for early identification of deteriorating obstetric patients in the labor room and ward settings. This study was conducted to determine if this simple clinical score could be used for prognosticating a critically ill patient in the ICU setting instead of sequential organ failure assessment score (SOFA) and acute physiology and chronic health evaluation (APACHE II) score.

Materials and Methods

A cohort study was conducted at Obstetrics Critical Care Unit, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi. A total of 250 obstetric patients were recruited after informed consent. The OEWS, SOFA, and APACHE II scores were calculated within 24 hours of admission. The patients were followed to study the maternal outcome.

Results

The area under receiver operator characteristic (AUROC) curve of OEWS, SOFA, and APACHE II for prediction of maternal mortality was 0.894 (95% CI, 0.849–0.929), 0.924 (95% CI, 0.884–0.954), and 0.93 (95% CI, 0.891–0.958), respectively. The standardized mortality ratio (SMR) for OEWS, SOFA, and APACHE II was 66.3, 62.5, and 69.15%, respectively.

Conclusion

Obstetric early warning score is as effective as the conventional SOFA and APACHE II to prognosticate the obstetric patient. Since OEWS is based only on clinical criteria, it can be done immediately on admission and can help in early allocation of appropriate manpower and resources for optimum outcome.

Clinical significance

The clinical application of this study will help intensivists to prognosticate the critically ill obstetric patients immediately following admission to the critical care unit.

How to cite this article

Khergade M, Suri J, Bharti R, Pandey D, Bachani S, Mittal P. Obstetric Early Warning Score for Prognostication of Critically Ill Obstetric Patient. Indian J Crit Care Med 2020;24(6):398–403.

Perinatal outcome in women with bacterial sepsis: A cross-sectional study from West China

Maternal bacterial sepsis during pregnancy and the postpartum period is a common cause of maternal mortality and fetal morbidity and mortality. This study was performed to analyze perinatal prognosis and related factors of maternal bacterial sepsis in west China.We conducted a cross-sectional study of pregnant women with bacterial sepsis who were admitted into a tertiary care center in western China between 2011and 2015. Data from these cases were collected and analyzed.Eighty six women were identified with bacterial sepsis in our hospital, and the incidence of maternal bacterial sepsis was 1.7 per 1000 maternities, the incidence of septic shock was 1.8 per 10,000 maternities, and 1 maternal death occurred. Among the 86 pregnant women with bacterial sepsis, genital tract infection was the most common source of infection (41/86, 47.7%). The most common bacteria in the Gram-positive bacteria group was Listeria monocytogenes and in the Gram-negative bacteria group was Escherichia coli. The premature delivery rate (65.7%) was substantially higher in the Gram-negative bacteria group (P = .011), and the miscarriage rate (31.3%) was higher in the Gram-positive bacteria group (P = .042). The fetal/neonatal mortality rate was 20% (21/105) and higher in the Gram-positive bacteria group (P = .008), and the infant mortality rate in 1 year was 7.1% (6/84).Bacterial sepsis remains an alarming cause of both maternal and fetal morbidity and mortality, and infant mortality. Key treatment involves a multi-disciplinary group of clinicians with experience in all aspects of the care of pregnant women with sepsis and early initiation of appropriate antibiotics according to the type of bacterial infection. The effect of maternal sepsis on long-term fetal outcome should be investigated.

Sepsis in Pregnancy: Recognition and Resuscitation

The normal physiologic changes of pregnancy complicate evaluation for sepsis and subsequent management. Previous sepsis studies have specifically excluded pregnant patients. This narrative review evaluates the presentation, scoring systems for risk stratification, diagnosis, and management of sepsis in pregnancy. Sepsis is potentially fatal, but literature for the evaluation and treatment of this condition in pregnancy is scarce. While the definition and considerations of sepsis have changed with large, randomized controlled trials, pregnancy has consistently been among the exclusion criteria. The two pregnancy-specific sepsis scoring systems, the modified obstetric early warning scoring system (MOEWS) and Sepsis in Obstetrics Score (SOS), present a number of limitations for application in the emergency department (ED) setting. Methods of generation and subsequently limited validation leave significant gaps in identification of septic pregnant patients. Management requires consideration of a variety of sources in the septic pregnant patient. The underlying physiologic nature of pregnancy also highlights the need to individualize resuscitation and critical care efforts in this unique patient population. Pregnant septic patients require specific considerations and treatment goals to provide optimal care for this particular population. Guidelines and scoring systems currently exist, but further studies are required.

Maternal and neonatal characteristics in obstetric intensive care unit admissions

BACKGROUND

The objective of this study was to evaluate the course of pregnancy and delivery of obstetric patients admitted for intensive care, and determine the health status of their infants.

METHODS

This was a retrospective register-based study. Four university hospitals in Finland participated. Obstetric patients admitted to the intensive care unit in any trimester of pregnancy, during delivery or up to 42 days post partum were identified from clinical information systems over a five-year study period. Parturient and infant data were collected from the Medical Birth Register.

RESULTS

During the study period (2007-2011), 283 obstetric patients were identified from the clinical information system. The most common reason for admission was hypertensive complications (58%), followed by obstetric haemorrhage (25.1%). Advanced maternal age, nulliparity and multiple pregnancies were associated with obstetric intensive care unit admissions. Of patients admitted to intensive care, 68.9% delivered by unscheduled caesarean section. Nearly 60% of neonates were born preterm, 56.1% needed treatment in a neonatal intensive care unit or an observation unit and 4.6% died within one week.

CONCLUSION

Advanced maternal age, nulliparity and multiple pregnancy were more common among intensive care unit-admitted women than in the general obstetric population. The main causes for admission were hypertensive complications and obstetric haemorrhage. Compared with the general obstetric population, neonates of intensive care unit-admitted mothers were eight times more likely to require treatment on a neonatal ward and their risk of neonatal death was also eight times greater.

Reducing Maternal Mortality and Severe Maternal Morbidity: The Role of Critical Care

Throughout most of the 20th century, the risk of maternal mortality in high resource countries decreased dramatically; however, this trend recently has stalled in the United States and appears to have reversed. Equally alarming is that for every reported maternal death, there are numerous severe maternal morbidities or near misses. Shifting maternal demographics (eg, obesity, advanced maternal age, multifetal pregnancies), with attendant significant medical comorbidities (eg, hypertension, diabetes, cardiac disease) and the increase in cesarean deliveries significantly contribute to increased maternal morbidity and mortality. This chapter focuses on the role of critical care in reducing maternal mortality and morbidity.

Maternal admissions to intensive care units in France: Trends in rates, causes and severity from 2010 to 2014

INTRODUCTION

Maternal intensive care unit admission is an indicator of severe maternal morbidity. The objective of this study was to estimate rates of maternal intensive care unit admission during or following pregnancy in France, and to describe the characteristics of women concerned, the severity of their condition, associated diagnoses, regional disparities, and temporal trends between 2010 and 2014.

METHODS

Women hospitalised in France in intensive care units during pregnancy or up to 42 days after pregnancy between January 2010 and December 2014 were identified using the national hospital discharge database (PMSI-MCO). Trends in incidence rates were quantified using percentages of average annual variation based on a Poisson regression model.

RESULTS

In total, 16,011 women were admitted to intensive care units, representing an overall incidence of 3.97‰ deliveries. This number decreased significantly by 1.7% on average per year. For women who gave birth (60.5% by C-section), 62.5% of admissions occurred during their hospitalisation for delivery. The SAPS II score, an indicator of severity, significantly increased from 18.4 in 2010 to 21.5 in 2014. Obstetrical haemorrhage (39.8%) and hypertensive complications during pregnancy (24.8%) were the most common reasons for admission. In mainland France, the Ile-de-France (i.e., greater Paris) region had the highest rates of intensive care units admission (5.05‰) while the Pays-de-la-Loire region had the lowest (2.69‰).

CONCLUSION

The rate of maternal intensive care unit admission decreased from 2010 to 2014 in France, with a concomitant increase in case severity. In-depth studies are needed to understand the territorial disparities identified.

Risk prediction models for maternal mortality: A systematic review and meta-analysis

PURPOSE

Pregnancy-related critical illness leads to death for 3-14% of affected women. Although identifying patients at risk could facilitate preventive strategies, guide therapy, and help in clinical research, no prior systematic review of this literature exploring the validity of risk prediction models for maternal mortality exists. Therefore, we have systematically reviewed and meta-analyzed risk prediction models for maternal mortality.

METHODS

Search strategy: MEDLINE, EMBASE and Scopus, from inception to May 2017. Selection criteria: Trials or observational studies evaluating risk prediction models for maternal mortality. Data collection and analysis: Two reviewers independently assessed studies for eligibility and methodological quality, and extracted data on prediction performance.

RESULTS

Thirty-eight studies that evaluated 12 different mortality prediction models were included. Mortality varied across the studies, with an average rate 10.4%, ranging from 0 to 41.7%. The Collaborative Integrated Pregnancy High-dependency Estimate of Risk (CIPHER) model and the Maternal Severity Index had the best performance, were developed and validated from studies of obstetric population with a low risk of bias. The CIPHER applies to critically ill obstetric patients (discrimination: area under the receiver operating characteristic curve (AUC) 0.823 (0.811-0.835), calibration: graphic plot [intercept-0.09, slope 0.92]). The Maternal Severity Index applies to hospitalized obstetric patients (discrimination: AUC 0.826 [0.802-0.851], calibration: standardized mortality ratio 1.02 [0.86-1.20]).

CONCLUSIONS

Despite the high heterogeneity of the study populations and the limited number of studies validating the finally eligible prediction models, the CIPHER and the Maternal Severity Index are recommended for use among critically ill and hospitalized pregnant and postpartum women for risk adjustment in clinical research and quality improvement studies. Neither index has sufficient discrimination to be applicable for clinical decision making at the individual patient level.

Indications and characteristics of obstetric patients admitted to the intensive care unit: a 22-year review in a tertiary care center

Objective

Reviewing indications and characteristics of obstetric patients admitted to the intensive care unit (ICU) of a tertiary care center, comparing those patients by time period and place of delivery, and to verify clinical utility of acute physiology and chronic health evaluation (APACHE) II score in ICU-admitted women.

Methods

Retrospective analyses were carried out for parturients admitted to the ICU of our institution from 1994 to 2015. Clinical characteristics were compared between time period (period 1: 1994-2004; period 2: 2005-2015) and place of delivery (our institution and local hospitals). Receiver operating characteristic (ROC) curve analysis was used to evaluate the usefulness of APACHE II score to predict maternal mortality.

Results

During 22-year period, 176 women required ICU admission, showing the incidence of 2.2 per 1,000 deliveries. The most common reason for ICU admission was postpartum hemorrhage (56.3%), followed by hypertensive disorders (19.3%), sepsis (3.4%), and pulmonary and amniotic fluid embolism (2.3%). Period 2 showed older maternal age (32.7±4.8 vs. 30.8±4.4 years, P=0.006, higher embolization rate (26.4% vs.1.2%, P<0.001), and lower hysterectomy rate (30.8% vs. 49.4%, P=0.012). Cases from local hospitals showed significantly higher proportion of postpartum hemorrhage (84.5% vs. 42.2%, P<0.001). Overall maternal death occurred in 5.1% (9/176) including 6 direct maternal deaths. The APACHE II score showed area under the ROC curve of 0.813 (confidence interval [CI], 0.607-1.000) for prediction of maternal mortality.

Conclusion

The incidence of obstetric ICU admission was 2.2 per 1,000 deliveries and the most common reason was postpartum hemorrhage followed by hypertensive disorders. APACHE II score could be used to predict mortality in obstetric ICU admission.

[Hospitalizations due to complications of pregnancy and maternal and perinatal outcomes in a cohort of pregnant women in the Brazilian Unified National Health System in São Paulo, Brazil]

Maternal morbidity, fetal mortality, and neonatal mortality are important indicators of maternal and child health. The study aimed to describe maternal and perinatal outcomes (low birth weight, prematurity, fetal and neonatal deaths, postpartum hospitalizations, and readmission of newborns) in a cohort of pregnant women whose deliveries were covered by the Brazilian Unified National Health System (SUS) in the city of São Paulo, Brazil, in the second semester of 2012. We obtained a retrospective cohort of 55,404 pregnant women with deterministic and probabilistic linkage of data from the Hospital Information System of the SUS (SIH/SUS), Information System on Live Births (SINASC), Mortality Information System (SIM), and National Registry of Health Establishments (CNES) databases. Hospitalizations due to obstetric complications occurred in 4.3% of the women. The most frequent diagnoses were infection, hypertensive disease of pregnancy, and diabetes. Hospitalizations prior to childbirth were more common in pregnant women 35 years or older and those with a history of multiple pregnancies and low schooling. Postpartum hospitalizations were three times greater and maternal mortality was nine times greater in pregnant women with a history of previous hospitalization due to obstetric complications. Adverse perinatal outcomes (fetal and neonatal mortality and low birth weight) were twice as frequent in infants of women with previous hospitalization when compared to those without. A similar pattern was seen in hospitalization of newborns soon after birth and in hospital readmission. Adverse maternal and perinatal outcomes were more frequent in pregnant women with a history of previous hospitalization.

Measurement properties of comorbidity indices in maternal health research: a systematic review

Background

Maternal critical illness occurs in 1.2 to 4.7 of every 1000 live births in the United States and approximately 1 in 100 women who become critically ill will die. Patient characteristics and comorbid conditions are commonly summarized as an index or score for the purpose of predicting the likelihood of dying; however, most such indices have arisen from non-pregnant patient populations. We sought to systematically review comorbidity indices used in health administrative datasets of pregnant women, in order to critically appraise their measurement properties and recommend optimal tools for clinicians and maternal health researchers.

Methods

We conducted a systematic search of MEDLINE and EMBASE to identify studies published from 1946 and 1947, respectively, to May 2017 that describe predictive validity of comorbidity indices using health administrative datasets in the field of maternal health research. We applied a methodological PubMed search filter to identify all studies of measurement properties for each index.

Results

Our initial search retrieved 8944 citations. The full text of 61 articles were identified and assessed for final eligibility. Finally, two eligible articles, describing three comorbidity indices appropriate for health administrative data remained: The Maternal comorbidity index, the Charlson comorbidity index and the Elixhauser Comorbidity Index. These studies of identified indices had a low risk of bias. The lack of an established consensus-building methodology in generating each index resulted in marginal sensibility for all indices. Only the Maternal Comorbidity Index was derived and validated specifically from a cohort of pregnant and postpartum women, using an administrative dataset, and had an associated c-statistic of 0.675 (95% Confidence Interval 0.647–0.666) in predicting mortality.

Conclusions

Only the Maternal Comorbidity Index directly evaluated measurement properties relevant to pregnant women in health administrative datasets; however, it has only modest predictive ability for mortality among development and validation studies. Further research to investigate the feasibility of applying this index in clinical research, and its reliability across a variety of health administrative datasets would be incrementally helpful. Evolution of this and other tools for risk prediction and risk adjustment in pregnant and post-partum patients is an important area for ongoing study.

Electronic supplementary material

The online version of this article (10.1186/s12884-017-1558-3) contains supplementary material, which is available to authorized users.

Internal Validation of the Sepsis in Obstetrics Score to Identify Risk of Morbidity From Sepsis in Pregnancy

OBJECTIVE

To prospectively validate the Sepsis in Obstetrics Score, a pregnancy-specific sepsis scoring system, to identify risk for intensive care unit (ICU) admission for sepsis in pregnancy.

METHODS

This is a prospective validation study of the Sepsis in Obstetrics Score. The primary outcome was admission to the ICU for sepsis. Secondary outcomes included admission to a telemetry unit and time to administration of antibiotic therapy. We evaluated test characteristics of a predetermined score of 6 or greater.

RESULTS

Between March 2012 and May 2015, 1,250 pregnant or postpartum women presented to the emergency department and met systemic inflammatory response syndrome criteria. Of those, 425 (34%) had a clinical suspicion or diagnosis of an infection, 14 of whom (3.3%) were admitted to the ICU. The Sepsis in Obstetrics Score had an area under the curve of 0.85 (95% CI 0.76-0.95) for prediction of ICU admission for sepsis. This is within the prespecified 15% margin of the area under the curve of 0.97 found in the derivation cohort. A score of 6 or greater had a sensitivity of 64%, specificity of 88%, positive predictive value of 15%, and negative predictive value of 98.6%. Women with a score 6 or greater were more likely to be admitted to the ICU (15% compared with 1.4%, P<.01), admitted to a telemetry unit (37.3% compared with 7.2%, P<.01), and have antibiotic therapy initiated (90% compared with 72.9%, P<.01), initiated more quickly (3.2 compared with 3.7 hours, P=.03), although not within 1 hour (5.6 compared with 3.4%, P=.44).

CONCLUSION

The Sepsis in Obstetrics Score is a validated pregnancy-specific score to identify risk of ICU admission for sepsis with the threshold score of 6 having a negative predictive value of 98.6%. Adherence to antibiotic administration guidelines is poor.

Red blood cell distribution width as a risk factor for inhospital mortality in obstetric patients admitted to an intensive care unit: a single centre retrospective cohort study

BACKGROUND

Red blood cell distribution width (RDW) has been shown to predict mortality in critically ill patients. To our knowledge, whether or not RDW is associated with clinical outcomes of obstetric patients requiring critical care has not been evaluated.

METHODS

This was a single centre, retrospective, observational study of obstetric patients admitted to the intensive care unit (ICU). Patients were excluded from the analysis if they had known haematological diseases or recently underwent blood transfusion. Patients who died or were discharged from the ICU within 24 hours of admission were also excluded. Patient clinical characteristics at ICU admission were retrieved from the medical charts. Multiple logistic regression was used to estimate OR and 95% CI for inhospital mortality associated with RDW. The receiver operating characteristic curve was used to examine the performance of RDW, alone or in combination with the Acute Physiology and Chronic Health Evaluation II score (APACHE II), in predicting inhospital mortality.

RESULTS

A total of 376 patients were included in the study. The hospital mortality rate was 5.32%. A significant association was found between baseline RDW levels and hospital mortality (OR per per cent increase in RDW, 1.31; 95% CI 1.15 to 1.49). Further adjustment for haematocrit and other potential confounders did not appreciably alter the result (p<0.001). The area under the curve (AUC) for inhospital mortality based on RDW was similar to that based on the APACHE II score (0.752 vs 0.766). A combination of these two factors resulted in substantial improvement in risk prediction, with an AUC value of 0.872 (p<0.001).

CONCLUSIONS

The study suggests that RDW is an independent predictor for inhospital mortality among ICU admitted obstetric patients. Combining RDW and APACHE II score could significantly improve inhospital prognostic prediction among these critically ill obstetric patients.

Practice Bulletin No. 170: Critical Care in Pregnancy

Critical care in pregnancy is a field that remains unevenly researched. Although there is a body of evidence to guide many recommendations in critical care, limited research specifically addresses obstetric critical care. The purpose of this document is to review the available evidence, propose strategies for care, and highlight the need for additional research. Much of the review will, of necessity, focus on general principles of critical care, extrapolating where possible to obstetric critical care.

Maternal super obesity and risk for intensive care unit admission in the MFMU Cesarean Registry

INTRODUCTION

Obesity is a risk factor for intensive care unit (ICU) admission in nonpregnant populations. Less is known about maternal obesity and ICU admission risk. The objective of this study was to estimate the association between maternal obesity and ICU admission among women who delivered via cesarean section or vaginal birth after cesarean section (VBAC).

MATERIAL AND METHODS

This is a retrospective cohort analysis of women who delivered via VBAC or cesarean section in the Maternal-Fetal Medicine Unit (MFMU) Cesarean Registry. We defined exposure as body mass index (BMI) at delivery stratified as non-obese (BMI 18.5-29.9 kg/m² ), class I or II obese (BMI 30-39.9 kg/m² ), morbidly obese (BMI 40-49.9 kg/m² ), and super obese (BMI ≥ 50 kg/m² ). The primary outcome was ICU admission. Modified Poisson regression models estimated relative risk (RR) of ICU admission by obesity strata, after adjusting for confounders. Mediation analysis was used to estimate the proportion of ICU admission risk attributable specifically to obesity.

RESULTS

We included 68 455 women; 40% non-obese, 46% class I or II obese, 12% morbidly obese, and 2% super obese. Super obese women were at higher risk for ICU admission compared with non-obese women (0.7 vs. 1.3%, adjusted RR 1.61; 95% CI 1.01-2.65), after adjusting for confounders. Among super obese women, medical comorbidities mediated 58% of ICU admission risk, suggesting that a significant proportion of ICU admission is driven by maternal obesity.

CONCLUSIONS

Super obese women who deliver by cesarean section or VBAC are at increased risk of peripartum ICU admission. Obstetricians and critical care specialists should consider possible ICU admission during delivery planning.

Multiple Organ Dysfunction Score Is Superior to the Obstetric-Specific Sepsis in Obstetrics Score in Predicting Mortality in Septic Obstetric Patients

Objectives:

Mortality prediction scores have been used for a long time in ICUs; however, numerous studies have shown that they over-predict mortality in the obstetric population. With sepsis remaining a major cause of obstetric mortality, we aimed to look at five mortality prediction scores (one obstetric-based and four general) in the septic obstetric population and compare them to a nonobstetric septic control group.

Subject and Design:

Women in the age group of 16–50 years with an admission diagnosis or suspicion of sepsis were included. In a multicenter obstetric population (n = 797), these included all pregnant and postpartum patients up to 6 weeks postpartum. An age- and gender-matched control nonobstetric population was drawn from a single-center general critical care population (n = 2,461). Sepsis in Obstetric Score, Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and Multiple Organ Dysfunction Scores were all applied to patients meeting inclusion criteria in both cohorts, and their area under the receiver-operator characteristic curves was calculated to find the most accurate predictor.

Measurements and Main Results:

A total of 146 septic patients were found for the obstetric cohort and 299 patients for the nonobstetric control cohort. The Sepsis in Obstetric Score, Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and Multiple Organ Dysfunction Scores gave area under the receiver-operator characteristic curves of 0.67, 0.68, 0.72, 0.79, and 0.84 in the obstetric cohort, respectively, and 0.64, 0.72, 0.61, 0.78, and 0.74 in the nonobstetric cohort, respectively. The Sepsis in Obstetric Score performed similarly to all the other scores with the exception of the Multiple Organ Dysfunction Score, which was significantly better (p < 0.05).

Conclusion:

The Sepsis in Obstetric Score, designed specifically for sepsis in obstetric populations, was not better than general severity of illness scoring systems. Furthermore, the Sepsis in Obstetric Score performance was no different in an obstetric sepsis population compared to a nonobstetric sepsis population. The Multiple Organ Dysfunction Score is a simple organ-based score, and this result supports the use of organ-based outcome predictors in ICU even in an obstetric sepsis population.

Outcomes and trends of peripartum maternal admission to the intensive care unit

Background

The number of pregnant women with severe comorbidities is increasing. The aim of the present study was to analyze outcomes and determine trends in women who required peripartum admission to the intensive care unit (ICU).

Methods

In this retrospective study, we identified all women who were admitted to the ICU between the second trimester of pregnancy and 6 weeks postpartum. Women with ICU admission between 2011 and 2014 were assigned to the study group, whereas those admitted between 1996 and 2003 were assigned to the historical group. Comorbidities, characteristics, outcomes, and treatment efforts were assessed. Descriptive analysis, Fisher’s exact test, unpaired Student’s t-test and one-way ANOVA were performed.

Results

We identified 238 cases, including 135 (56.7%) in the study group and 103 (43.3%) in the historical group. In 83 (34.9%) women, deterioration of the pre-existing medical condition was causal for ICU admission. Overall, preterm delivery and mean gestational age were 81.5% and 31.6 ± 6.2 weeks, respectively. In comparison to the historical group, women of the study group were older (p = 0.005), more frequently presented with multiple comorbidities (p = 0.003), pre-existing conditions (p < 0.001), and congenital heart disease (p = 0.012). Moreover, they had a shorter length of stay at the ICU than those of the historical group (p = 0.02).

Conclusions

Peripartum ICU admissions are increasing in frequency. As maternal characteristics are changing, adequate risk stratification with multidisciplinary care are essential, and access to intermediate care units would be preferable for patients with short-term admission.

Intensive Care Admissions in Pregnancy: Analysis of a Level of Support Scoring System

OBJECTIVES

Development of a validated triaging system that can be used by obstetric providers to identify obstetric patients at risk of developing severe morbidity during an admission is urgently required. Maternal Critical Care Working Group (MCCWG) recommended a "level of care" strategy that based patient acuity needs on number of individual organ systems requiring support. The objective of this study was to apply the MCCWG level of support for critical care (MCCWG LOC) scoring to pregnant women admitted to an intensive care unit (ICU) to predict maternal outcomes and to compare it to the Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system.

METHODS

In this retrospective study, we applied the MCCWG LOC scoring to pregnant women admitted to an ICU at the Detroit Medical Center, between January 2006 and December 2010. The MCCWG LOC was scored on admission to the ICU, and patients were subsequently divided into two groups (Group 1, patients requiring Level 1 and 2 support and Group 2, patients requiring level 3a and 3b support) and their outcome variables were compared. The MCCWG LOC scores were also compared to APACHE II scoring, an ICU scoring system, to test if an alignment of the two systems existed, and if they were able to predict outcomes such as death, hospital and intensive care stay.

RESULTS

Sixty-nine pregnant women (0.25% of deliveries) required admission to the ICU and 3 maternal deaths were reported. Sixty-four (92.7%) patients had pre-existing medical problems. Fifty-eight (84%) of admissions were secondary to a medical diagnosis. Mean APACHE II score (p < 0.018) and APACHE II predicted mortality rate were significantly higher in Group 2 (p < 0.018). The hospital length of stay (LOS) (p < 0.017) and ICU LOS (p < 0.0001) were significantly longer in Group 2 as compared to Group 1. Group 2 patients required more interventions while in the ICU (p < 0.0001). All the patients who died were classified as Group 2.

CONCLUSIONS FOR PRACTICE

In a cohort of women requiring intensive care admission during pregnancy, MCCWG LOC, a simplified organ system based, triaging scoring system, predicted maternal outcomes and correlated with APACHE II score. Our data support initiatives for further development and testing of global obstetric triaging scoring systems for the purposes of risk stratification, monitoring of quality and resource allocation.

The Usefulness of the APACHE II Score in Obstetric Critical Care: A Structured Review

OBJECTIVE

To assess the performance of the Acute Physiology and Chronic Health Evaluation II (APACHE II) mortality prediction model in pregnant and recently pregnant women receiving critical care in low-, middle-, and high-income countries during the study period (1985-2015), using a structured literature review.

DATA SOURCES

Ovid MEDLINE, Embase, Web of Science, and Evidence-Based Medicine Reviews, searched for articles published between 1985 and 2015.

STUDY SELECTION

Twenty-five studies (24 publications), of which two were prospective, were included in the analyses. Ten studies were from high-income countries (HICs), and 15 were from low- and middle-income countries (LMICs). Median study duration and size were six years and 124 women, respectively.

DATA SYNTHESIS

ICU admission complicates 0.48% of deliveries, and pregnant and recently pregnant women account for 1.49% of ICU admissions. One quarter were admitted while pregnant, three quarters of these for an obstetric indication and for a median of three days. The median APACHE II score was 10.9, with a median APACHE II-predicted mortality of 16.6%. Observed mortality was 4.6%, and the median standardized mortality ratio was 0.36 (interquartile range 0.23 to 0.73). The standardized mortality ratio was < 0.9 in 24 of 25 studies. Women in HICs were more frequently admitted with a medical comorbidity but were less likely to die than were women in LMICs.

CONCLUSION

The APACHE II score consistently overestimates mortality risks for pregnant and recently pregnant women receiving critical care, whether they reside in HICs or LMICs. There is a need for a pregnancy-specific outcome prediction model for these women.

Intensive care and pregnancy: Epidemiology and general principles of management of obstetrics ICU patients during pregnancy

In developed countries, the rate of obstetric ICU admissions (admission during pregnancy or the postpartum period) is between 0.5 and 4 per 1000 deliveries and the overall case-fatality rate is about 2%. The most two common causes of obstetric ICU admissions concerned direct obstetric pathologies: obstetric hemorrhage and hypertensive disorders of pregnancy. This review summarized the principles of management of critically ill pregnant patient. Its imply taking care of two patients in the same time. A coordinated multidisciplinary team including intensivists, anesthesiologists, obstetricians, pediatricians and pharmacists is therefore necessary. This team must work effectively together with regular staff aiming to evaluate daily the need to maintain the patient in intensive care unit or to prompt delivery. Keeping mother and baby together and fetal well-being must be balanced with the need of specialized advanced life support for the mother. The maternal physiological changes imply various consequences on management. The uterus aorto-caval compression implies tilting left the parturient. In case of cardiac arrest, uterus displacement and urgent cesarean delivery are needed. The high risk of aspiration and difficult tracheal intubation must be anticipated. Even during acute respiratory distress syndrome, hypoxemia and permissive hypercapnia must be avoided due to their negative impact on the fetus. Careful analysis of the benefit-risk ratio is needed before all drug administration. Streptococcal toxic shock syndrome and perineal fasciitis must be feared and a high level of suspicion of sepsis must be maintained. Finally the potential benefits of an ultrasound-based management are detailed.

Sepsis during pregnancy or the postpartum period

Sepsis is an important cause of maternal morbidity and mortality worldwide. Early recognition and timely treatment are the key to ensuring a favourable outcome. This article reviews recent literature about definitions, pathophysiology, incidence, diagnosis, management, treatment, prevention and outcome of sepsis during pregnancy and the postpartum period.

Sepsis in Pregnancy: Identification and Management

Sepsis accounts for up to 28% of all maternal deaths. Prompt, appropriate treatment improves maternal and fetal morbidity and mortality. To date, there are no validated tools for identification of sepsis in pregnant women, and tools used in the general population tend to overestimate mortality. Once identified, management of pregnancy-associated sepsis is goal-directed, but because of the lack of studies of sepsis management in pregnancy, it must be assumed that modifications need to be made on the basis of the physiologic changes of pregnancy. Key to management is early fluid resuscitation and early initiation of appropriate antimicrobial therapy directed toward the likely source of infection or, if the source is unknown, empiric broad-spectrum therapy. Efforts directed at identifying the source of infection and appropriate source control measures are critical. Development of an illness severity scoring system and treatment algorithms validated in pregnant women needs to be a research priority.

Characteristics, Outcomes, and Predictability of Critically Ill Obstetric Patients: A Multicenter Prospective Cohort Study

OBJECTIVE

To evaluate pregnant/postpartum patients requiring ICUs admission in Argentina, describe characteristics of mothers and outcomes for mothers/babies, evaluate risk factors for maternal-fetal-neonatal mortality; and compare outcomes between patients admitted to public and private health sectors.

DESIGN

Multicenter, prospective, national cohort study.

SETTING

Twenty ICUs in Argentina (public, 8 and private, 12).

PATIENTS

Pregnant/postpartum (< 42 d) patients admitted to ICU.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Three hundred sixty-two patients were recruited, 51% from the public health sector and 49% from the private. Acute Physiology and Chronic Health Evaluation II was 8 (4-12); predicted/observed mortality, 7.6%/3.6%; hospital length of stay, 7 days (5-13 d); and fetal-neonatal losses, 17%. Public versus private health sector patients: years of education, 9 ± 3 versus 15 ± 3; transferred from another hospital, 43% versus 12%; Acute Physiology and Chronic Health Evaluation II, 9 (5-13.75) versus 7 (4-9); hospital length of stay, 10 days (6-17 d) versus 6 days (4-9 d); prenatal care, 75% versus 99.4%; fetal-neonatal losses, 25% versus 9% (p = 0.000 for all); and mortality, 5.4% versus 1.7% (p = 0.09). Complications in ICU were multiple-organ dysfunction syndrome (34%), shock (28%), renal dysfunction (25%), and acute respiratory distress syndrome (20%); all predominated in the public sector. Sequential Organ Failure Assessment (during first 24 hr of admission) score of at least 6.5 presented the best discriminative power for maternal mortality. Independent predictors of maternal-fetal-neonatal mortality were Acute Physiology and Chronic Health Evaluation II, education level, prenatal care, and admission to tertiary hospitals.

CONCLUSIONS

Patients spent a median of 7 days in hospital; 3.6% died. Maternal-fetal-neonatal mortality was determined not only by acuteness of illness but to social and healthcare aspects like education, prenatal control, and being cared in specialized hospitals. Sequential Organ Failure Assessment (during first 24 hr of admission), easier to calculate than Acute Physiology and Chronic Health Evaluation II, was a better predictor of maternal outcome. Evident health disparities existed between patients admitted to public versus private hospitals: the former received less prenatal care, were less educated, were more frequently transferred from other hospitals, were sicker at admission, and developed more complications; maternal and fetal-neonatal mortality were higher. These findings point to the need of redesigning healthcare services to account for these inequities.

Core Research Teams: A strategy to research critically ill pregnant and postnatal women

There has been little research conducted on critically ill pregnant and postnatal women. When developing a research protocol to conduct a prospective multi-centre survey on this study population, we found there were vital concerns that needed addressing prior to the research proceeding. Prompt identification of the study population and valid, reliable data collection were two aspects that needed particular attention with study recruitment potentially occurring in a total of eleven clinical areas from seven hospitals. In this paper we outline the particular issues faced by us when conducting multi-centre research on a study population that occurs infrequently and unpredictably, and when there is a necessary urgency to identify eligible study participants. The key strategy to overcome these difficulties, was the creation of 'Core Research Teams' in each clinical area. Our experience of using Core Research Teams in our pilot study is described in this paper. We found that the Core Research Team model is a very positive strategy to overcome the methodological challenges when operating a multi-centre study.

The Sepsis in Obstetrics Score: a model to identify risk of morbidity from sepsis in pregnancy

OBJECTIVE

We sought to design an emergency department sepsis scoring system to identify risk of intensive care unit (ICU) admission in pregnant and postpartum women.

STUDY DESIGN

The Sepsis in Obstetrics Score (S.O.S.) was created by modifying validated scoring systems in accordance with recognized physiologic changes of pregnancy. The S.O.S. was applied to a retrospective cohort of pregnant and postpartum patients from February 2009 through May 2011 with clinical suspicion of sepsis. The primary outcome was ICU admission. Secondary outcomes were telemetry unit admission, length of stay, positive blood cultures, positive influenza swabs, perinatal outcome, and maternal mortality. Receiver operating characteristic curves were constructed to estimate the optimal score for identification of risk of ICU admission.

RESULTS

In all, 850 eligible women were included. There were 9 ICU (1.1%) and 32 telemetry (3.8%) admissions, and no maternal deaths. The S.O.S. had an area under the curve of 0.97 for ICU admission. An S.O.S. ≥6 (maximum score 28) had an area under the curve of 0.92 with sensitivity of 88.9%, specificity of 95.2%, positive predictive value of 16.7%, and negative predictive value of 99.9% for ICU admission, with an adjusted odds ratio of 109 (95% confidence interval, 18-661). An S.O.S. ≥6 was independently associated with increased ICU or telemetry unit admissions, positive blood cultures, and fetal tachycardia.

CONCLUSION

A sepsis scoring system designed specifically for an obstetric population appears to reliably identify patients at high risk for admission to the ICU. Prospective validation is warranted.

Comparison of severity-of-illness scores in critically ill obstetric patients: a 6-year retrospective cohort

OBJECTIVE

The purpose of this research was to evaluate the discrimination and calibration of mortality prediction of Simplified Acute Physiology Score 2, Simplified Acute Physiology Score 3, Mortality Probability Model II, and Mortality Probability Model III in peripartum women.

DESIGN

A retrospective cohort study.

SETTING

Rafael Calvo Maternity Hospital, a large teaching hospital in Cartagena (Colombia).

PATIENTS

All obstetric patients admitted to the ICU from 2006 to 2011.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Seven hundred twenty-six obstetric critical care patients were included. All scores showed good discrimination (area under the receiver operator characteristic curve > 0.86). Simplified Acute Physiology Score 2, Simplified Acute Physiology Score 3, and Mortality Probability Model III inaccurately estimated mortality. The only mortality prediction score that showed good calibration through mortality ratio and Hosmer-Lemeshow test was Mortality Probability Model II. Mortality ratio for Mortality Probability Model II was 0.88 (95% CI, 0.60-1.25). Hosmer-Lemeshow test was not significant (p = 0.571).

CONCLUSIONS

Simplified Acute Physiology Score 2 and Simplified Acute Physiology Score 3 overestimate mortality in obstetric critical care patients. Mortality Probability Model III was inadequately calibrated. Mortality Probability Model II showed good fit to predict mortality in a developing country setting. Future studies in developed and developing countries are needed to further confirm our findings.

Organ dysfunction and organ failure as predictors of outcomes of severe maternal morbidity in an obstetric intensive care unit

BACKGROUND

Most of the maternal deaths are preceded by severe maternal morbidity (SMM). Organ dysfunction and organ failure may occur as part of the pathophysiologic spectrum in SMM.

AIM

To determine the predictive and discriminative abilities of the Sequential Organ Failure Assessment (SOFA) scores to determine outcomes in pregnant women with SMM, who were admitted to a maternal ICU.

MATERIALS AND METHODS

A retrospective study design was used to ascertain the diagnostic effectiveness of Sequential Organ Failure Assessment (SOFA) scores. Maximum individual SOFA scores and total maximum SOFA score were compared between women with and without SMM, and in women with SMM who survived or did not survive. Primary outcome measure of interest was maternal mortality.

RESULTS

A majority (n=73, 85.88%) of the 85 women in the study had obstetrics related causes. The total maximum SOFA score was significantly higher in women with SMM as compared to that in women without SMM (p<0.001). The total maximum SOFA score showed ability to discriminate pregnant women with SMM who would not survive (AUROC 0.77, 95% CI: 0.46, 1.00). The positive likelihood ratios and accuracy for total SOFA scores of ≥10 and ≥12 were 19.20 and 38.40, and 94.20% and 95.65% respectively. The post-test probabilities for maternal deaths in women with SMM for SOFA scores ≥10 and ≥12 were 60.01% and 75.01% respectively.

CONCLUSION

The total maximum SOFA score showed good predictive and discriminative abilities for maternal mortality in pregnant women with SMM, who were admitted to ICU.

Epidemiologic profile, survival, and maternal prognosis factors among women at an obstetric intensive care unit

OBJECTIVE

To identify the epidemiologic profile, maternal survival, and prognosis factors that might affect survival rates in the obstetric intensive care unit (ICU).

METHODS

A prospective cohort study was conducted between January 2007 and February 2009 in a tertiary referral ICU, Belo Horizonte, Brazil. Critical patients during pregnancy and puerperium were followed from admission until discharge or death. Maternal survival was assessed in association with the cause of ICU admission, grouped into direct or indirect obstetric causes, by Kaplan-Meier curves and log-rank tests.

RESULTS

Among 298 patients admitted to the ICU during the study period, mortality was 4.7% (n=14). Hypertensive disorders (46.0%), hemorrhage (15.9%), sepsis (14.2%), and heart disease (5.7%) were the main causes of admission. Half of the patients who died were admitted for direct obstetric reasons (n=7). Survival was statistically linked to the cause of admission: most survivors were admitted for a direct obstetric cause (75.5%; P=0.044). Maternal survival rates of patients admitted for indirect obstetric causes were lower than those admitted for direct obstetric causes (27.8 and 19.6 days, respectively; P=0.019).

CONCLUSION

The main cause of admission was a decisive factor for maternal survival in the obstetric ICU. Direct obstetric complications had a better prognosis.

Design and internal validation of an obstetric early warning score: secondary analysis of the Intensive Care National Audit and Research Centre Case Mix Programme database

We designed and internally validated an aggregate weighted early warning scoring system specific to the obstetric population that has the potential for use in the ward environment. Direct obstetric admissions from the Intensive Care National Audit and Research Centre's Case Mix Programme Database were randomly allocated to model development (n = 2240) or validation (n = 2200) sets. Physiological variables collected during the first 24 h of critical care admission were analysed. Logistic regression analysis for mortality in the model development set was initially used to create a statistically based early warning score. The statistical score was then modified to create a clinically acceptable early warning score. Important features of this clinical obstetric early warning score are that the variables are weighted according to their statistical importance, a surrogate for the FI O2 /Pa O2 relationship is included, conscious level is assessed using a simplified alert/not alert variable, and the score, trigger thresholds and response are consistent with the new non-obstetric National Early Warning Score system. The statistical and clinical early warning scores were internally validated using the validation set. The area under the receiver operating characteristic curve was 0.995 (95% CI 0.992-0.998) for the statistical score and 0.957 (95% CI 0.923-0.991) for the clinical score. Pre-existing empirically designed early warning scores were also validated in the same way for comparison. The area under the receiver operating characteristic curve was 0.955 (95% CI 0.922-0.988) for Swanton et al.'s Modified Early Obstetric Warning System, 0.937 (95% CI 0.884-0.991) for the obstetric early warning score suggested in the 2003-2005 Report on Confidential Enquiries into Maternal Deaths in the UK, and 0.973 (95% CI 0.957-0.989) for the non-obstetric National Early Warning Score. This highlights that the new clinical obstetric early warning score has an excellent ability to discriminate survivors from non-survivors in this critical care data set. Further work is needed to validate our new clinical early warning score externally in the obstetric ward environment.

Clinical Profile of Obstetric Patients Admitted to the Medical-Surgical Intensive Care Unit (MSICU) of an Inner-City Hospital in New York

BACKGROUND

Pregnancy is associated with physiological and anatomical changes that usually occur uneventfully in majority of women. However, these changes can cause major maternal morbidity with potential catastrophic consequences. The purpose of this study is to evaluate the clinical characteristics of obstetric patients admitted to the MSICU of an inner-city hospital in New York.

METHODS

A prospective, observational study was conducted among all the obstetric patients admitted to the MSICU between June 1, 2009 and June 30, 2012.

RESULTS

A total of 19 obstetric patients were admitted to the MSICU between June 1, 2009 and June 30, 2012. The most common comorbidity on admission was hypertensive disorder. Hemodynamic unstability and shock was the most common admission diagnosis. The mean length of stay was 3.5 days. One patient died.

CONCLUSIONS

Obstetric hemorrhage and pregnancy-induced hypertensive disorders remains as the most common entities requiring intensive care unit (ICU) admission among obstetric patients. A multidisciplinary team involvement is essential in the management of these patients.

Delivering obstetrical critical care in developing nations

Obstetrical critical care has not been able to achieve the same level of peaks in developing nations like India, as in the western countries. Numerous factors, including clinical and economical, have played a major role in widening the gap of quality care delivery in severely ill obstetric patients, between the two extreme worlds. Moreover, this wide gap can be, to a large extent, attributable to the lower literacy rates, paucity of research in obstetrical critical care, poverty, lack of awareness, and the sociocultural and behavioral factors prevalent in these developing nations. The most common indication for Intensive Care Unit (ICU) admission of such patients throughout the world is hemorrhage, both antepartum and postpartum. Hypertensive disorders, pre-eclampsia, and its related complications are also major contributory factors for such admissions. The pattern of the disease necessitating such admissions influences maternal mortality to a great extent. The present article reviews the most common indications of obstetrical admissions to the ICU, the challenges and obstacles in the treatment of severely ill obstetric patients, their possible outcome in the developing nations, room for improvement, and the need for a change in the system for better delivery of critical care obstetrical services.

Sequential organ failure assessment score for evaluating organ failure and outcome of severe maternal morbidity in obstetric intensive care

Objective. To evaluate the performance of Sequential Organ Failure Assessment (SOFA) score in cases of severe maternal morbidity (SMM). Design. Retrospective study of diagnostic validation. Setting. An obstetric intensive care unit (ICU) in Brazil. Population. 673 women with SMM. Main Outcome Measures. mortality and SOFA score. Methods. Organ failure was evaluated according to maximum score for each one of its six components. The total maximum SOFA score was calculated using the poorest result of each component, reflecting the maximum degree of alteration in systemic organ function. Results. highest total maximum SOFA score was associated with mortality, 12.06 ± 5.47 for women who died and 1.87 ± 2.56 for survivors. There was also a significant correlation between the number of failing organs and maternal mortality, ranging from 0.2% (no failure) to 85.7% (≥3 organs). Analysis of the area under the receiver operating characteristic (ROC) curve (AUC) confirmed the excellent performance of total maximum SOFA score for cases of SMM (AUC = 0.958). Conclusions. Total maximum SOFA score proved to be an effective tool for evaluating severity and estimating prognosis in cases of SMM. Maximum SOFA score may be used to conceptually define and stratify the degree of severity in cases of SMM.

Clinical characteristics and outcomes of critically ill obstetric patients: a ten-year review

BACKGROUND AND OBJECTIVES

Pregnancy and delivery can involve complications that necessitate admission to critical care facilities. The objective of our study was to assess the incidence, indications, and outcomes of obstetric patients requiring admission to an intensive care unit (ICU) in a tertiary care hospital, in Saudi Arabia.

DESIGN AND SETTING

Retrospective cohort study of consecutive obstetric admissions to the ICU at the King Abdulaziz Medical City over a 10-year period.

PATIENTS AND METHODS

We collected baseline demographic data and acute physiology and chronic health evaluation II (APACHE II) scores. ICU mortality was the primary outcome.

RESULTS

Over 10 years, 75 obstetric patients were admitted to the ICU, and 59 of these patients (78.6%) were admitted during the antepartum period. The main obstetric indication for ICU admission was pregnancy-induced hypertension (21 patients, 28%) and the leading non-obstetric indication was sepsis (12 patients, 16%). The APACHE II score was 19.59 (15.05). The predicted mortality rate based on the APACHE II score was 21.97%; however, there were only six maternal deaths (8%) among the obstetric patients admitted to the ICU.

CONCLUSION

The overall mortality was low. A team approach facilitated the application of optimal care to these patients. Obstetric patients had better outcomes than those predicted by the APACHE II scores. Appropriate antenatal care is important for preventing obstetric complications.

Clinical review: Special populations--critical illness and pregnancy

Critical illness is an uncommon but potentially devastating complication of pregnancy. The majority of pregnancy-related critical care admissions occur postpartum. Antenatally, the pregnant patient is more likely to be admitted with diseases non-specific to pregnancy, such as pneumonia. Pregnancy-specific diseases resulting in ICU admission include obstetric hemorrhage, pre-eclampsia/eclampsia, HELLP (hemolysis, elevated liver enzymes, and low platelet count) syndrome, amniotic fluid embolus syndrome, acute fatty liver of pregnancy, and peripartum cardiomyopathy. Alternatively, critical illness may result from pregnancy-induced worsening of pre-existing diseases (for example, valvular heart disease, myasthenia gravis, and kidney disease). Pregnancy can also predispose women to diseases seen in the non-pregnant population, such as acute respiratory distress syndrome (for example, pneumonia and aspiration), sepsis (for example, chorioamnionitis and pyelonephritis) or pulmonary embolism. The pregnant patient may also develop conditions co-incidental to pregnancy such as trauma or appendicitis. Hemorrhage, particularly postpartum, and hypertensive disorders of pregnancy remain the most frequent indications for ICU admission. This review focuses on pregnancy-specific causes of critical illness. Management of the critically ill mother poses special challenges. The physiologic changes in pregnancy and the presence of a second, dependent, patient may necessitate adjustments to therapeutic and supportive strategies. The fetus is generally robust despite maternal illness, and therapeutically what is good for the mother is generally good for the fetus. For pregnancy-induced critical illnesses, delivery of the fetus helps resolve the disease process. Prognosis following pregnancy-related critical illness is generally better than for age-matched non-pregnant critically ill patients.