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Journal of the Turkish German Gynecological Association logoLink to Journal of the Turkish German Gynecological Association
. 2014 Dec 1;15(4):222–227. doi: 10.5152/jtgga.2014.14076

Maternal mortality and derivations from the WHO near-miss tool: An institutional experience over a decade in Southern India

Ajay Halder 1,, Ruby Jose 2, Reeta Vijayselvi 2
PMCID: PMC4285210  PMID: 25584030

Abstract

Objective

Preceding the use of World Health Organization (WHO) near-miss approach in our institute for the surveillance of Severe Maternal Outcome (SMO), we pilot-tested the tool on maternal death cases that took place over the last 10 years in order to establish its feasibility and usefulness at the institutional level.

Material and Methods

This was a retrospective review of maternal deaths in Christian Medical College Vellore, India, over a decade. Cases were recorded and analyzed using the WHO near-miss tool. The International Classification of Diseases, 10th Revision was used to define and classify maternal mortality.

Results

There were 98,139 total births and 212 recorded maternal deaths. Direct causes of mortality constituted 46.96% of total maternal deaths, indirect causes constituted 51.40%, and unknown cases constituted 1.9%. Nonobstetrical cause (48.11%) is the single largest group. Infections (19.8%) other than puerperal sepsis remain an important group, with pulmonary tuberculosis, scrub typhus, and malaria being the leading ones. According to the WHO near-miss criteria, cardiovascular and respiratory dysfunctions are the most frequent organ dysfunctions. Incidence of coagulation dysfunction is seen highest in obstetrical hemorrhage (64%). All women who died had at least one organ dysfunction; 90.54% mothers had two- and 38.52% had four- or more organ involvement.

Conclusion

The screening questions of the WHO near-miss tool are particularly instrumental in obtaining a comprehensive assessment of the problem beyond the International Classification of Diseases-Maternal Mortality and establish the need for laboratory-based identification of organ dysfunctions and prompt availability of critical care facilities. The process indicators, on the other hand, inquire about the basic interventions that are more or less widely practiced and therefore give no added information at the institutional level.

Keywords: Maternal mortality, who near-miss tool, organ dysfunction

Introduction

A state’s health status can largely be assessed by the incidence of its maternal mortality. The Millennium Development Goals (MDG) of the United Nations (1) had set the goal of 109/100,000 live births by 2015. In this regard, India and many of its most populous states have performed fairly under national government initiatives, like the National Rural Health Mission (NRHM), Janani Shishu Suraksha Yojana (conditional cash transfer scheme), and Accredited Social Health Activists schemes (2). But, after the initial success, India may have to wait until 2023–2024 to attain the targeted maternal mortality ratio (MMR) if it fails to continue the linear declining tread achieved in 1997–2009 (3).

The study of “near-miss” and maternal death cases can provide useful insights into processes that can lead to maternal adverse outcomes (4). In 2007, the WHO established a technical working group to develop a standard definition and uniform identification criteria for maternal near-miss cases. The near-miss identification criteria thus developed target cases presenting with features of severe organ dysfunctions (5). It has been shown to yield useful and reliable data that can be used to improve the quality of care and monitor maternal health care interventions.

Preceding the use of the WHO near-miss approach in our institute for the surveillance of severe maternal outcomes, we pilot-tested the tool over the maternal death cases that took place over the last 10 years in order to establish its feasibility and usefulness at the institutional level.

Material and Methods

This is a retrospective study based on data from the labor ward, intensive care unit, discharge summaries, and admission records maintained by the medical records unit of Christian Medical College (CMC), Vellore, India. Situated in the southern India, CMC is a tertiary referral center and one of the oldest medical college hospitals in India. The hospital receives referrals mainly from the southern parts of the country. All mortality statistics in the concerned departments were compiled into an Epi Info database using the WHO near-miss tool (6) as the format. All maternal deaths following admission to the CMC from January 1, 2003 to December 31, 2012 were reviewed and analyzed. The CMC’s maternal mortality audit team, in collaboration with the medical records unit, identified the maternal deaths. The case records with deficient information were used to calculate the MMR and the underlying cause of death only.

Identification and classification of Maternal Death- Direct and Indirect, along with further subdivisions (nine subgroups), were done according to WHO application of International Classification of Disease (ICD) to deaths during pregnancy, childbirth, and the puerperium: ICD-Maternal Mortality (ICD-MM) which is based upon the 10th revision of the ICD (ICD-10) (7).

Data analysis

Maternal mortality data were analyzed using Excel (Microsoft; Washington, USA) spreadsheet. Proportions and maternal mortality rates per 100,000 live births were calculated. Where more than one cause for death was recorded, only the first or the underlying cause (ICD-MM) of death was considered. Other secondary or tertiary causes of the obstetric death were noted if they satisfied the WHO near-miss criteria (6), which are further classified into a) potentially life-threatening conditions, b) critical interventions, and c) organ dysfunction criteria. Readers are advised to read through the sample data collection form in the WHO document (8) for maximum benefit from the discussion below.

Institutional ethical committee permission was sought and obtained for the study. The study was not funded. The authors declare that there is no conflict of interest.

Result

There were 98,139 total births and 95,384 live births between 2003 and 2012. During this period, there were 28,788 cesarean deliveries and an average perinatal mortality rate of 35,391 per 1000 live births. There were 212 recorded maternal deaths during this period. The yearly maternal mortality ratio per 100,000 live births per year is shown in Table 1. The mean age at death was 24 years (standard deviation (SD) 4.4), mean parity was 1 (SD 0.97), and the mean period of gestation at delivery or death was 24 weeks (SD 8.15). The distribution of age, parity, period of gestation at death or birth, end of pregnancy mode, fetal outcome, and comorbidities is shown in Tables 2 and 3. Perinatal mortality was seen in 69% of cases.

Table 1.

Maternal mortality ratio from 2003 to 2012

Year Total live births Number of maternal deaths Maternal mortality ratio (per 100,000 live births)
2003 7758 29 374
2004 7938 17 214
2005 7625 18 236
2006 7753 25 322
2007 8629 18 208
2008 9316 15 161
2009 10,068 27 278
2010 11,115 22 198
2011 12,099 18 148
2012 13,084 26 198
Total 95,385 215 222

Table 2.

Maternal age, parity, and gestational age at delivery/death

Maternal age 149 (100%)
15–19 12 (8%)
20–24 67 (45%)
25–29 46 (31%)
30–34 19 (13%)
35–39 5 (3%)
Parity 135 (100%)
0 80 (59%)
1 33 (24%)
2 or more 22 (16%)
Gestational age at delivery or death 149 (100%)
12 weeks or less 9 (6%)
13–28 weeks 19 (13%)
29–34 weeks 28 (18%)
35–41 weeks 94 (68%)

Table 3.

Mode of delivery, fetal outcome, and associated comorbidities

Final mode of delivery 147 (100%)
Vaginal 70 (48%)
Cesarean section 47 (32%)
Abortion 10 (7%)
Laparotomy for perforation 3 (2%)
Discharged or died pregnant 17 (12%)
Fetal outcome 143 (100%)
Live birth 43 (30%)
Stillborn 84 (58%)
Early neonatal death 16 (11%)
Associated comorbidities 145 (100%)
Anemia 77 (53%)
HIV positive 4 (2.7%)
Prolonged labor 5 (3.4%)
Previous LSCS 8 (5.5%)

LSCS: lower section caesarean section; HIV: human immunodeficiency virus

The direct causes of mortality constituted 46.96% (99), the indirect causes constituted 51.40% (109), and unknown cases constituted 1.9% (4) (Table 4). It is interesting to note that the percentage distribution of the causes of maternal deaths did not change significantly over the decade, as depicted in Figure 1, where the causes have been shown against the three 40-month time periods. The killer trio hemorrhage, puerperal sepsis, and hypertension maintained their position as the leaders of death due to direct causes. These three together caused 37.1% of maternal deaths in our hospital over the last decade. Deaths related to abortions have shown a decline, and no such case was seen in the last 40-month period.

Table 4.

Causes of maternal death according to International Classification of Diseases 10th Revision (ICD-10 & ICD-MM)

Direct causes 99 (46.69%) Indirect causes 113 (53.30%)
Group I. Pregnancy with abortive outcome 14 (6.6%) Group VII. Non-obstetric complications 102 (48.11%)
O00 Ectopic 4 O99 Other maternal diseases classifiable elsewhere 67
O01 Molar pregnancy 3 Cardiovascular causes 28
O03-O06 Septic abortion 7 Haematological causes 6
Group II. Hypertensive disorders 26 (12.6%) Hepatic disorders 24
O15 Eclampsia 12 Neurological disorders 4
O14 Severe pre eclapsia & HELLP 14 Renal disorders 2
Group III. Obstetrics hemorrhage 25 (11.8%) Respiratory disorders 3
O43 Placenta accreata 1 O98 Maternal infectious and parasitic diseases 35
O72 Post partum hemorrhage 21 Group VIII. Unknown 4 (1.9%)
O71 Ruptured uterus 3 Group IX. Coincidental causes 7 (3.3%)
Group IV: Pregnancy related infections 27 (12.7%) Heatstroke 6
O41.1 Choriamnionitis 1 Road traffic accident 1
O86 Caesarean wound infection 1
O85 Puerperal sepsis 25
Group IV. Other obstetric complications 3 (1.4%)
O88 Amniotic fluid Embolism 3
Group V. Unanticipated complication of management 4 (1.9%)
O74 Complications of anesthesia during childbirth 4

Figure 1.

Figure 1

Trends in maternal mortality cases (ICD-MM groups)

ICD-MM group VI “Non-Obstetrical cause” [48.11% (102/212)] is the single largest group, composed of numerous common and uncommon diseases. Rheumatic heart disease and fulminant liver disease were the most important medical conditions resulting in maternal death in this group. Infections [19.8% (42/212)] other than puerperal sepsis remain an important group, with pulmonary tuberculosis, scrub typhus, and malaria being the leading ones. There are clustered cases of maternal deaths due to H1N1 during an outbreak. Heat stroke caused 6 maternal deaths during the 10-year period. The higher percentage of maternal deaths due to medical conditions (Group 7 ICD-MM O98) was probably due to the presence of a large proportion of women with medical conditions in a tertiary referral hospital.

According to the WHO near-miss criteria, the organ dysfunctions encountered before the maternal death are shown in Figure 2. Cardiovascular and respiratory dysfunctions were the most frequently seen organ dysfunctions, either being an underlying cause or a later sequela. Among the six main primary causes, cardiovascular dysfunction was present in 53.73% (108/201) of cases and respiratory dysfunction was present in 60.19% (121/201). Coagulation dysfunction in the form of failure to form clots, massive transfusion of blood or red cells (≥5 units), and severe acute thrombocytopenia (<50,000 platelets/ml) was seen in a significant percentage (36.31%) of mothers who subsequently died, with the highest percentage in the mothers of group III obstetrical hemorrhage (64%). Uterine dysfunction, defined as hemorrhage or infection leading to hysterectomy, was seen in 32% of cases in group III obstetrical hemorrhage. Hysterectomy was also done in 7.15%, 3.8%, and 3.9% of cases in group I pregnancy with abortive outcomes, group II hypertensive disorders, and group VII non-obstetric complications, respectively. Neurological dysfunction was exceptionally high in group II hypertensive disorder (46.2%) and group IV pregnancy-related infections (25.9%) compared to other major ICD-MM groups (8.5% to 16%). All women who died had at least one organ dysfunction; 90.54% mothers had two- and 38.52% had four- or more organ involvement (Figure 3). WHO screening criteria other than organ dysfunction was not uniformly present in all maternal deaths. The life-threatening conditions and critical interventions, if used alone, would have missed 24% (36/150) and 8.6% (13/150) of cases, respectively (Figure 4).

Figure 2.

Figure 2

Organ dysfunction (%) in major ICD-MM groups

Figure 3.

Figure 3

Organ dysfunction(s) in maternal mortality (WHO Criteria)

Figure 4.

Figure 4

WHO screening criteria in maternal mortality (Ability of different groups of screening criteria to identify mortality cases)

Seventy-nine percent (26/33) of the deaths that took place within 12 hours of admission were women referred from outside. The average time since delivery to death (days) showed a declining trend, whereas the average duration of hospital stay showed a significant increasing trend over the decade (Figure 5).

Figure 5.

Figure 5

Hospital stay vs time since delivery (Days)

Discussion

To counter the stagnation in the decline of maternal mortality in many growing economies, like India, a pre-emptive approach to identify and treat maternal near-miss events seems prudent. In 2009, the WHO working group on maternal morbidity and mortality classifications (6) put forth the WHO near-miss criteria containing 25 severity markers, primarily laboratory-based, that were shown to be independently associated with poor maternal outcome. Cecatti et al. (9), in a prospective study of 673 cases of severe maternal morbidity, tested the performance of the WHO criteria against the SOFA score (10, 11), the gold standard for organ dysfunction identification in intensive care settings, and found it to be 100% sensitive and 70.4% specific for predicting maternal death cases. Sauza et al. (12), in their prospective study across 27 referral centers in a Latin American country, used a binary logistic regression model to describe the association between severe maternal outcome and WHO near-miss criteria. With a positive likelihood ratio of 106.8 (95% CI 99.56–114.6), the WHO near-miss criteria had a high association with maternal deaths. The presence of at least one organ dysfunction in every maternal mortality case in the present study seconds the findings of Sauza et al. (12). A maternal severity index model was also proposed by Sauza et al. (12) that predicted the probability of maternal death with complications of pregnancy. The WHO Multicountry Survey (WHOMCS) (13) on maternal and newborn health was conducted across 29 countries in Asia, Africa, and Latin America among 357 centers and showed that older, less educated, and higher-parity mothers with cesarean deliveries were more likely to have a severe maternal outcome (SMO). Perinatal outcome was dismal in SMO cases, with a 15 times higher perinatal mortality rate and a proportionate increase in preterm labor and neonatal intensive care unit admissions. Postpartum hemorrhage and hypertensive disorders of pregnancy were the most common obstetric complications. The incidence of sepsis and systemic infections was higher in comparison to puerperal endometritis, similar to the observations of the present study. Cardiovascular, respiratory, and coagulation dysfunctions were the most common organ dysfunctions, as also seen in the present study. Our study could further show that the spectrum of organ dysfunction across all major ICD-MM groups was similar, with very few exceptions, like higher coagulation disorder in the obstetric hemorrhage group and neurologic dysfunction in the hypertensive group. This dilutes the importance of classifying maternal deaths by the underlying cause and establishes the need for laboratory-based identification of organ dysfunction and prompt availability of critical care facilities. In spite of the high coverage of the indicated essential interventions (process indicators) across the health facilities, the WHOMCS showed unequal performance regarding maternal mortality. Furthermore, in the instances where the indicated essential interventions were missed in SMO cases (missed opportunities), the risk of death was not higher. This questions the relevance of the indicated essential interventions in reducing maternal mortality further beyond a limit. The WHOMCS included women in early puerperium up to 7 days postpartum and may have missed late puerperal cases of SMO, which by definition is up to 42 days.

The present study was limited by its retrospective design and the incomplete information in the medical records. Since this study was conducted with only mortality cases, the extrapolation of the findings to all pregnant women remains hypothetical. Nevertheless, in light of the previous works, this study gathers further support in favor of the use of the WHO maternal near-miss approach.

The WHO screening questions, composed of potentially life-threatening conditions, critical interventions, and organ dysfunction criteria, are particularly instrumental in obtaining a comprehensive assessment of the problem beyond the ICD-MM. The use of criteria on potentially life-threatening conditions alone, however, does not add information above what is already provided by the section on underlying cause of death/near-miss. The process indicators, especially the use of interventions, on the other hand, inquires about basic interventions, which are more or less widely practiced and therefore gives no added information.

The approach to improving maternal health is ideally through defining, quantifying, and taking measures to reduce severe maternal outcomes, which include both maternal near-miss and death. Provided that basic antenatal care and emergency obstetric care is available to the majority, further success will follow only a more aggressive approach in averting maternal mortality by identifying maternal near-miss and providing advanced life support to mothers with severe organ dysfunctions.

Acknowledgements

We thank Dr Abhijeet Pakhare for his significant contribution in data analysis and interpretation and Mrs Alice Augustine for her significant contribution in data collection.

Footnotes

Ethics Committee Approval: Ethics committee approval was received for this study.

Informed Consent: N/A.

Peer-review: Externally peer-reviewed.

Author contributions: Concept - A.H., R.J.; Design - A.H., R.J.; Supervision - A.H., R.J., R.V.; Resource - A.H., R.V.; Materials - A.H., R.V.; Data Collection&/or Processing - A.H., R.J., R.V.; Analysis&/or Interpretation - A.H., R.J., R.V.; Literature Search - A.H., R.V.; Writing - A.H., R.J.; Critical Reviews - A.H., R.J.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study has received no financial support.

References


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