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Ghana Medical Journal logoLink to Ghana Medical Journal
. 2016 Sep;50(3):129–135.

Approach to an obstetric prognosis scale: The modified SOFA scale

Lourdes A Blanco Esquivel 1, Jorge Macia Urbina 1, Hugo Mendieta Zerón 1,2
PMCID: PMC5044792  PMID: 27752186

Summary

Background

Severe obstetric morbidity constitutes a serious problem worldwide; however, an effective obstetrical prognosis scale is still missing.

Objective

To propose a modified Sequential Organ Failure Assessment Score (SOFA) score based on time before reaching specialized medical attention.

Method

This was an ambispective, descriptive study, including all women treated at the Obstetrical Intensive Care Unit (OICU) of the “Mónica Pretelini Sáenz” Maternal-Perinatal Hospital (HMPMPS), Toluca, Mexico, from June 2009 to June 2013. The patient's SOFA score and clinical evolution were registered daily. A modified obstetrical SOFA scale was constructed adjusting the value of 180 instead of 200 in the punctuation column of 3 for the PaO2/FiO2 ratio and adding a file of disease evolution time with sepsis prior to reaching specialized medical attention.

Results

Two hundred thirty two patients, with an average age (SD) of 26.42 (±7.54) years, mean gestational age of 33 (±7.5) weeks were included in the study; 118 suffered from pre-eclampsia, 56 obstetric haemorrhages, 41 eclampsia (25 preceded by pre-eclampsia) and 23, sepsis. ROC curves showed a higher area under the curve (AUC) for the modified SOFA (0.868; p<0.001) than SOFA (0.796; p=0.003), in the prediction of maternal mortality.

Conclusions

The SOFA score, taking into account a lower value for the Kirby index and a threshold time of 12-h with sepsis before getting specialized medical attention, shows a good predictive value for maternal death and could be considered for evaluating the severity of complicated obstetrical patients.

Funding

None declared

Keywords: Intensive Care Units, maternal mortality, Sequential Organ Failure

Introduction

Severe obstetric morbidity constitutes a serious problem worldwide.1,2 limiting developing countries in reaching the United Nations World Health Organization (U.N. WHO) Fifth Millennium Development Goal (MDG5) set in 2000, due in part to inadequate clinical work-ups and monitoring, missed and incorrect diagnoses, delayed or incorrect treatment, delayed referrals and transfers, patients not being stabilized prior to referral, and outright negligence.35

The WHO defines maternal mortality as a death of a woman while pregnant or within 42 days after delivery, irrespective of pregnancy duration and site, being any cause related with worsening of the pregnancy or its management but not from accidental or incidental causes.6

A limited number of conditions account for the majority of maternal deaths (haemorrhage, hypertensive disorders, sepsis/infections, and obstructed labour).7 Many classification systems have been developed to recognize early deterioration in critically ill patients, some based only on sepsis,8 while others were designed to evaluate systemic damage.9

Among the existing scales, that proposed by the WHO10 includes more information in the case of pregnancy; however, it is a tool for the purpose of establishing morbidity and mortality retrospectively and is not as useful in Critical care units (CCU) for prospective purposes.

Likewise, an important scoring system is the Sequential Organ Failure Assessment (SOFA), which describes the clinical course of the patient as a marker for the degree of organ dysfunction and a predictor for mortality. The organic functions used in this scoring system are pulmonary, cardiovascular, coagulation, hepatic, renal, and neurological.11

To date, assessment of organ dysfunction/failure in obstetrical patients remains difficult. We are aware of previous efforts to compare SOFA vs. the Acute Physiology and Chronic Health Evaluation (APACHE),12 and of the recently released Sepsis in Obstetrics Score (S.O.S.).13

In our third level hospital we face two main challenges to reach a maternal mortality decrement, preeclampsia/eclampsia and sepsis. Since in pregnancy the physiological parameters are modified and that time prior to reaching medical care is critical for the clinical outcome in critical obstetric patients,14 the purpose of this study was to propose an obstetrical SOFA score (O-SOFA).

Methods

Study design

This was an ambispective, descriptive study conducted at the Obstetrical Intensive Care Unit (OICU), “Mónica Pretelini Sáenz” Maternal-Perinatal Hospital (HMPMPS), Health Institute of the State of Mexico (ISEM), Toluca, State of Mexico, Mexico.

Patients

All patients treated at the HMPMPS OICU from June 2009 to June 2013 were included in the study. Women seen at the OICU without an obstetrical complication were excluded from the study and those with incomplete clinical or biochemical information were eliminated. Duration of follow-up was up to the day of discharge.

General data

From all patients, gyneco-obstetrical data, laboratory studies, diagnosis on admission to the OICU, organ dysfunctions, sepsis, therapeutic interventions, and their outcome, surgical complications, length-of-stay, SOFA score, and death were recorded in an electronic open file, developed by the researchers,15 and these then were exported to an Excel data sheet in which O-SOFA score was calculated.

Definition of the Systemic Inflammatory Response Syndrome (SIRS) and sepsis, as described by Bone,16 were utilized for the determination of the severity of infection on admission.

Sampling and laboratory analysis

All patients admitted into the OICU underwent standard care, including the following daily, routine laboratory tests: albumin (mg/dl); cholesterol (mg/dl); creatinine (mg/dl); glucose (mg/dl); triglycerides (mg/dl); uric acid (mg/dl) (Dimension R × L Max, Dade Behring, USA) and hemoglobin (g/dl) (Advia 120, Bayer Health).

All of these tests were measured at the HMPMPS according to standardized procedures recommended by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Gasometric analyses were conducted in the Gem® Premier 3000 (Instrumentation Laboratory, USA).

Statistical analysis

Results are presented as means ± 1 SD for continuous variables with Gaussian-shaped distribution and as (relative) frequencies for nominal categorical variables. Time was measured as days from admission to the OICU. Cox Forward and Backward Regression models and a linear regression model with creatinine, Kirby testing, and platelets as predictive variables for maternal death were performed. Finally, Receiver operating curves (ROC) were used to obtain sensitivity and specificity for Kirby, FiO2, creatinine, SOFA, and O-SOFA. In all cases, a p ≤0.05 was considered statistically significant. All tests were performed with the SPSS ver. 20 statistical software program (SPPS, Inc., Chicago, IL, USA).

Ethics

The study was approved by the HMPMPS Institutional Review Board (code 2013-11-224), following the guidelines of the Helsinki Declaration (Fortaleza, Brazil). The need for informed consent was waived. The data collected were maintained anonymous.

Results

Two hundred fifty nine (259) patients were admitted to the OICU of the HMPMPS from June 2009 to June 2013. From this initial group, 27 were excluded due to incomplete information (lack of 24-h creatinine depuration) and 232 individuals remained; 195 of these were referred from another health unit.

Average age was 26 ± 4 years (range, 13.45 years) with an average stay in the Critical care unit (CCU) of 4 ± 4.1 days (range, 1–25 days). Mean gestational age of the patients was 33 weeks ± 7.5 weeks (range, 6–42.4 days). The general characteristics of our population are depicted in Table 1.

Table 1.

General characteristics of our population

Item N (%)
Age (n = 232)
< 20 years 49 (21.12)
20–29 years 105 (45.25)
30–39 years 73 (31.46)
> 39 years 11 (4.74)
Resolution of pregnancy at gestational age
< 28 weeks 34 (14.65)
between 28 and 32 weeks 40 (17.24)
between 33 and 36 weeks 57 (24.56)
> 36 weeks 115 (49.56)
Type of delivery
Vaginal 156 (67.24)
Caesarian 51 (21.98)
Abortions 6 (2.58)
Stillbirths 19 (8.18)
Primary determinant factors of near miss
Hypertensive syndromes 134 (57)
Hemorrhage 51 (21.98)
Sepsis 23 (9.91)

During the study period, we saw 118 patients with severe pre-eclampsia; 41 of these suffered from eclampsia (including 25 cases of severe pre-eclampsia that progressed to eclampsia).

According to Near-Miss definitions,10 frequency of organ dysfunction was as follows: haematological, 67 (28.87%); cardiovascular, 55 (23.7%); renal, 37 (15.94%); uterine, 37 (15.94%); neurological, 35 (15.08%); respiratory, 29 (12.5%), and hepatic, 24 (10.34%).

In addition, 23 patients had criteria for sepsis (9%), and 36 laparotomies (15.51%) were performed on patients participating in the study. One hundred fourteen patients required the transfusion of blood products.

In 182 patients, prophylactic oxytocin was used, and in eight women, other medications were required to prevent bleeding. As treatment for obstetric postpartum haemorrhage, 23 patients were given Oxytocin, 15 Ergometrine, 21 Misoprostol, and 22 other drugs. In 18 patients, there was the need for retained abortion removal and a Bakri™ balloon was placed in one patient. In seven patients, uterine or hypogastric ligation was performed. A hysterectomy was performed in 42 patients, and nine patients underwent abdominal packing. A total of nine maternal deaths (3.8%) during pregnancy, childbirth, or puerperium were recorded. Of the reported maternal deaths, there were four from sepsis process, four from hypertensive disorder, and one, from obstetric haemorrhage.

In a lineal regression model with creatinine, Kirby, and platelets as predictive variables for maternal death, R2 was 0.039, corrected R2 was 0.026, and Analysis of variance (ANOVA) was 0.028. The following values were calculated with a 4-stepwise Cox Forward Regression model: cardiac dysfunction (p=0.099); haematological dysfunction (p=0.002); neurological dysfunction (p=0.004), and Kirby (p=0.035). Conversely, on addressing the problem employing the Cox Backward Conditional model, results in step 15 were as follows: pre-eclampsia (p=0.042); transfusion (p=0.007); cardiac dysfunction (p=0.067); respiratory dysfunction (p=0.042); renal dysfunction (p=0.014); haematological dysfunction (p=0.003); neurological dysfunction (p=0.006), and platelets (p=0.062) (Table 2).

Table 2.

Cox regression

Model and
steps
Failure p-value
Forward
1 Cardiac 0.001
2 Cardiac
Hematological
0.006
0.032
3 Cardiac
Hematological
Neurological
0.030
0.003
0.002
4 Cardiac
Hematological
Neurological
Kirby
0.099
0.002
0.004
0.035
Backward
15 Preeclampsia
Transfusion
Cardiac dysfunction
Respiratory dysfunction
Renal dysfunction
Hematological dysfunction
Neurological dysfunction
Platelets
0.042
0.007
0.067
0.042
0.014
0.003
0.006
0.062

Systolic, diastolic, and mean arterial blood pressures were 128.7 ± 25.7, 81.6 ± 18.9, and 97.3 ± 20.5 mmHg, respectively. Variables included in the SOFA scale presented the following mean ± SD values: PaO2: 100 ± 40; Kirby testing: 299.8 ± 117.9; creatinine: 1.2 ± 2.1; total bilirubin: 1.1 ± 1.5, and platelets: 170,004 ± 120,113. Mean creatinine clearance was 95.6 ± 97.5 ml/min. Interestingly, while the mean − 1SD values for Kirby (181.5) and platelet count (49,890) were nearest to the column of 3 points of the SOFA scale, the mean + 1SD values for creatinine and bilirubin were nearest to the column of 2 points. Furthermore, the mean + 2SD for creatinine fit into the column of 3 points but that of bilirubin did so in the column of 2 points. Lastly, the mean − 2SD of Kirby decreased to 63.91.

Complementary data analysis with Receiver operating curves (ROC) for the event “maternal death”, offered statistical differences in the following variables: creatinine (0.048), FiO2 (0.025) and Kirby (0.06). Based on the latter result, a modified SOFA scale was constructed adjusting the value of 180 instead of 200 in the punctuation column of 3 points for the PaO2/FiO2 ratio and adding a file of disease evolution time with sepsis prior to reaching specialized medical attention.

The threshold of 12 hours was based on our experience of being a referral center registering fatal evolutions when it took more than that period of time for a pregnant woman with the diagnosis of sepsis before reaching specialized medical attention (Table 3).

Table 3.

Modified SOFA scale

0 1 2 3 4
Respirationa
PaO2/FiO2 (mm Hg)
SaO2/FiO2
> 400 < 400221–301 < 300
142–220
< 180
67–141
< 100
< 67
Coagulation
Platelets (103/mm3)
> 150 < 150 < 100 < 50 < 20
Liver
Bilirubin (mg/dl)
< 1.2 1.2–1.9 2.0–5.9 6.0–11.9 > 12.0
Cardiovascularb
Hypotension
No hypotension MAP < 70 Dopamine ≤ 5 or
dobutamine (any)
Dopamine > 5 or
NE ≤ 0.1
Dopamine > 15 or
NE > 0.1
CNS
Glasgow Coma Score
15 13–14 10–12 6–9 < 6
Renal
Creatinine (mg/dl)
or urine output (mL/d)
< 1.2 1.2–1.9 2.0–3.4 3.5–4.9
or < 500
> 5.0
or < 200
Sepsis absent absent absent present <
12 hours
present >
12 hours
CNS: central nervous system; MAP: mean arterial pressure; NE: norepinephrine, SaO2: peripheral arterial oxygen saturation. a:
PaO2/FiO2 ratio preferentially, if not available, the SaO2/FiO2 ratio is optional. b: vasoactive mediations administered for at least 1 hr
(dopamine and norepinephrine, µg/kg/min).

To illustrate this approach, ROC curves of SOFA and O-SOFA are depicted in Figure 1, with a higher area under the curve (AUC) for O-SOFA (0.868; p<0.001) than SOFA (0.796; p=0.003). Even more so, by changing the value of 100 for the PaO2/FiO2 ratio in the column of 4 points by 63 (mean − 2SD), the AUC (0.876) was higher than that for SOFA but lower than O-SOFA. Finally, the Cox Backward Conditional model in a step 2 yielded p<0.001 for O-SOFA.

Figure 1.

Figure 1

ROC curves for SOFA and O-SOFA.

SOFA area=0.796, sig. 0.003 (95% CI 0.704–0.888); O-SOFA area=0.868, sig. < 0.001 (95% CI 0.763–0.954).

Discussion

Maternal death is a public health problem and an indicator of the developmental level of a country. In fact, the study of near-miss cases has been employed to evaluate the quality of obstetrical health care systems.17

In polyvalent Intensive care units (ICU), sepsis plays a primary role as cause of death.18,19 Internationally, recent reports of the major factor predisposing to maternal morbidity include severe haemorrhage 28–56%, hypertension 13–40%, and sepsis, 3%.2023 In our study, among direct causes of death, severe pre-eclampsia and sepsis were equally registered (four cases each), followed by obstetric haemorrhage. This report that contrasts with worldwide statistics could be due to that we have the Blood Bank Service at our Institution, which aids in fighting against imminent death in case of haemorrhage.

There are scores similar to those of SOFA, such as the Multiple Organ Dysfunction Score (MODS)24 and the “Brussels Score”, the latter focused on sepsis.25 A major difference among the three scores lies in the definition of cardiovascular dysfunction/failure. MODS is based on the complex calculation of pressure adjusted to heart rate, while the “Brussels Score” is based on hypotension and acidemia. In the SOFA score, cardiovascular dysfunction/failure is based on the requirements for adrenergic support.

As previously noted, a worldwide accepted obstetrical morbid-mortality scale continues to be lacking. Despite that the SOFA score exhibits good prognostic value in obstetrical patients, it should not be considered definitive. The most important physiological parameter that seems to be adjusted is PaO2/FiO2; besides, in developing countries where a delay in specialized medical attention is common, it appears necessary to make an adjustment in cases of sepsis. In an initial attempt; we propose such adjustments with the O-SOFA. Resuming it possesses two changes; first, the lower value (180) of PaO2/FiO2 in the column of 3 points, based on the decreased pulmonary capacity in pregnancy and being the mean − 1SD value for Kirby, second, adding the file of time with sepsis. Following this corrections the sensitivity and specificity for the prediction of maternal death was better than with the known SOFA score.

Efforts are being made to assess and improve the quality and interpretation of routinely collected data, which will eventually lead us to a better obstetrical scale. It is worth noting that our study was developed through an open access data sheet in order to facilitate the data entry of each patient. We think, by employing a similar program, a multinational obstetric study group could increase casuistry.

Finally, this study entertains some limitations that should be mentioned. First, as a tertiary-level hospital, we have a Blood Bank Service that has exerted a great impact on the reduction of maternal mortality attributed to haemorrhage; without this Blood Bank Service, the targets in recovering from hypovolemic shock should be compromised. Second, the O-SOFA score does not demonstrate a high difference in total scoring of the population, meaning that, perhaps, the disease evolution time for sepsis should be considered a constant coefficient for multiplication of the SOFA value. Despite these limitations, the study possesses a number of strengths. First, it comprises the result of a specialized unit in providing care for obstetrical morbidity. Second, we propose the implementation of an open access data sheet in order to develop an international collaboration in the study of maternal mortality.

Conclusions

Establishing the prognosis and therapeutic conduct in the ICU is mandatory; however, in the obstetric patient, the influence of physiological changes renders it difficult to establish reference values for the scales already in use.

When compared with the SOFA scale, the O-SOFA that we propose here engenders encouraging results. However, we think it is possible to make adjustments in this direction, inviting more institutions to add their data to a common data sheet in order to develop, in a short amount of time, a better prognosis scale. It is our hope that sharing open access to specialized data could be the route to designing a worldwide-acceptable prognostic scale in obstetrical patients. It would also lead to interventions, aimed at increasing the awareness of danger signs among health providers at lower-level facilities, in order to minimize delays in referrals, to prevent both maternal morbidity and mortality.

This study further establishes a role for exploring the option for administering antibiotic prophylaxis in the third trimester of pregnancy to high-risk women as health-care guide policy for reducing extremely high mortality due to sepsis, even at tertiary-level hospitals.

This action should be evaluated at the primary level of medical assistance, whenever there is suspicion of infection or when one expects a delay in specialized obstetric attention, in that a >12-h evolution of sepsis dramatically reduces the survival outcome in critical patients.

Acknowledgement

Authors thank the facilities of the “Mónica Pretelini Sáenz” Maternal-Perinatal Hospital (HMPMPS), to develop this study and Maggie Brunner M.A., for her excellent help with the English style correction.

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