JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Obstetrics and Gynaecology Section DOI : 10.7860/JCDR/2021/47901.14772
Year : 2021 | Month : Apr | Volume : 15 | Issue : 04 Full Version Page : QC14 - QC17

Maternal Near Miss Events in Tertiary Care Hospital: A Retrospective Observational Study

Sonali J Ingole1, Shilpa N Chaudhary2

1 Associate Professor, Department of Obstetrics and Gynaecology, SKN Medical College, Pune, Maharashtra, India.
2 Professor, Department of Obstetrics and Gynaecology, SKN Medical College, Pune, Maharashtra, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Sonali J Ingole, Associate Professor, Department of Obstetrics and Gynaecology, SKN Medical College, Sinhgad Road, Narhe, Pune, Maharashtra, India.
E-mail: drsonali.ingole@gmail.com
Abstract

Introduction

Over the years, continuous efforts have been made for improving reproductive health status of women. In India, Ministry of Health and Family Welfare (MoHFW) has set Maternal Near Miss (MNM) review operational guidelines.

Aim

To analyse the incidence and causes of MNM cases in tertiary care hospital.

Materials and Methods

This retrospective observational study was undertaken at a tertiary care hospital from January 2010 to September 2018. MNM cases were identified according to the criteria given by MoHFW, MNM review operational guidelines. Following parameters (variables) were noted viz., age, parity, obstetric haemorrhage, severe anaemia, sepsis, therapeutic interventions, etc., and were analysed. Quantitative data was analysed by calculating means, ratios and proportions, using Statistical Package for the Social Science (SPSS) software (version 21.0).

Results

There were total 36,366 deliveries during the study period. A total of 315 Maternal Near Miss (MNM) cases were noted. Hypertensive disorders n=133 (42.22%) in pregnancy was the leading cause of MNM events at the hospital. This was followed by obstetric haemorrhage n=97 (30.79%), and severe anaemia constituting n=36 (11.42%), and sepsis n=30 (9.52%). Mortality index was highest in the sepsis group n=5 (14.28%) followed by severe anaemia n=3 (7.69%).

Conclusion

Hypertensive disorders were most common cause of near miss cases followed by obstetric haemorrhage. Sepsis was most common cause of maternal mortality. Early identification of hypertensive disorders in pregnancy, obstetric haemorrhage, severe anaemia and sepsis; and prompt treatment of these causes may help in reducing near miss and maternal mortality.

Keywords

Introduction

There have been constant efforts globally to improve reproductive health status of women, over decades. The Millennium Developmental Goal aimed to pull down the Maternal Mortality Rate (MMR) by three quarters and achieve universal access to reproductive health, between year 1990 to year 2015) [1]. India’s progress towards achieving this goal has been rather slow. In year 1990, MMR in India was 570 per one lakh live birth [2].

MMR in India has reduced by 26.9% since year 2013. The MMR decreased from 167 in 2011-2013 to 130 in 2014-2016 and 122 in 2015-2017 [3]. Across the globe, the maternal mortality ratio has also decreased by 38% from 342 deaths to 211 deaths per 1 lakh live births, from year 2000 to 2017 [4]. Over the years, efforts have been directed to formulate strategies for uplifting the health status of women in India. Maternal mortality ratio reflects overall health status of women in society.

Maternal mortality ratio is widely used as key indicator of the social, economic and health development and to assess maternal deaths in population [5]. However, maternal mortality ratio in itself is insufficient to probe into pregnant women’s health status. Since, there is decline in absolute number of maternal deaths; it has become less reliable to measure the efficacy of health care system [6]. There are far many pregnant women who survive the acute obstetric event despite being critically ill, and escape maternal mortality.

Severe Acute Maternal Morbidity (SAMM) or MNM is defined as “A woman who nearly died but survived a complication that occurred during pregnancy, child birth or within 42 days of termination of pregnancy” [7].

Recently, SAMM is widely used to evaluate the quality of obstetric care; the woman receives, in a given particular health facility [8]. The advantage of using MNM cases as health indicator, is that they out number maternal deaths to a large extent and the surviving pregnant women are available for interrogation and interviewing for the quality of care received by them [9].

In India, MoHFW has set maternal the near miss review operational guidelines in 2014 [10]. This guideline has formulated identification criteria for near miss based on three parameters, which include clinical findings, investigations and intervention done for MNM events. Many studies in developing countries have used WHO criteria for MNM [11]. There are few Indian studies on near miss events, using MoHFW criteria [12]. This study primarily attempts to analyse the incidence and causes of MNM cases in the tertiary care hospital. Calculation of maternal mortality index, and other relevant indices were secondary objective.

Materials and Methods

This retrospective observational study was undertaken at a tertiary care hospital. The data for the study was collected for the period from January 2010 to September 2018. Prior permission from Ethical Committee was taken before the study. The data were collected from the delivery register in labor ward, Intensive Care Unit (ICU), operation theater and medical records of patients in records department.

MNM cases were identified according to the criteria given by MoHFW, MNM review operational guidelines [8], which includes three criteria viz., clinical findings, investigations and interventions (requiring minimum one from each category) or any single criteria which signified maternal cardiorespiratory collapse.

Inclusion criteria: All critically ill pregnant women admitted to labour ward for delivery, labouring women, postnatal women, postabortal women were segregated into MNM, based on criteria given by Ministry of Health, operational guidelines. These operational guidelines have further divided these criteria into causes directly related to pregnancy, pre-existing causes before pregnancy and accidental and incidental causes.

Exclusion criteria: All uneventful pregnancies, abortions, deliveries and postnatal patients up to 42 days of delivery.

The clinical findings, investigations and interventions were broadly divided in 3 categories which included:

Pregnancy specific obstetric and medical disorders

Pre-existing disorders aggravated during pregnancy

Accidental and incidental causes in pregnancy.

Causes of MNM cases were analysed and divided into hypertensive disorders in pregnancy, haemorrhage, sepsis, severe anaemia, postpartum collapse, liver dysfunction, cardiac dysfunction, respiratory dysfunctions, endocrinological dysfunctions and renal dysfunctions. This covered both direct and indirect causes of MNM events and also includes conditions pre-existing before pregnancy.

This study took place in a tertiary care hospital, with 24 hour emergency obstetric care as well as round the clock functional blood bank. The hospital also gets referrals from peripheral areas, Primary Health Care centers (PHC) and Community Health Care centers (CHC). Patient characteristics with reference to age, parity, gestational age, mode of delivery, Antenatal Care (ANC) registration status of patients were studied.

Statistical Analysis

Entry of data was done in Microsoft Excel sheet. Quantitative data was analysed by calculating means, ratios and proportions, using SPSS software (Version 21.0). The following are formulae for calculation of various ratio.

MNM incidence ratio (number of MNM cases per 1000 live births)

MNM to mortality ratio (number of MNM cases for every single Maternal death)

Mortality index (number of Maternal deaths divided by total number of cases with severe Maternal outcome)(MI=MD/MNM+MD)

Severe Maternal outcome (SMO) is defined [13] as, Total number of cases including MNM and Maternal deaths (SMO=MNM+MD).

Results

There were total 36,366 deliveries over the duration of study period. Total number of live births were 34,908. A total of 18 maternal deaths during these years and 315 MNM cases were observed. Majority of the patients were in the age group of 20 to 30 years (58.41%). However, young primigravida (<20 years) also contributed to almost 25% of total Near Miss cases. Multigravida was more in number as compared to primigravida (64.76%). Out of 204 multigravida patients, 28 patients were grand multipara (parity ≥4) that is 13.72%. Most of the near miss maternal morbidity occurred in the third trimester (60%) [Table/Fig-1].

Showing characteristics of women with Maternal Near Miss (MNM) events.

CharacteristicsSevere Acute Maternal Morbidity (SAMM)Percentage distribution (%)
Age (years)
<208226.03
≥20 to <3018458.41
≥30 to <404915.56
Parity
Primigravida/primipara11135.24
Multigravida/multipara20464.76
Gestational age
First trimester8125.71
Second trimester288.89
Third trimester18960
Postnatal175.40
ANC Booked/Unbooked case
Booked case27085.71
Unbooked case4514.28
Referred cases9128.8
ICU admissions22370.79
Number of patients requiring blood transfusion and related products7624.12

ANC: Antenatal care


Seventy six patients in this study required blood and blood related products, out of which eleven patients received massive blood transfusion (≥5 Packed Cell Volume (PCV), or whole blood) (14.4%). Out of 315 near miss patients, 270 (85.71%) patients had registered themselves either at our hospital or at PHC, CHC, private hospital. A total of 45 (14.28%) patients were unregistered and mostly included multigravida. A total of 91 patients were referred from outside places including PHCs, CHCs, private hospitals and rural hospitals.

MNM cases analysis into following causes is shown in [Table/Fig-2]. Hypertensive disorders in pregnancy were the leading cause of MNM events comprising of 42.22% of MNM cases. This was followed by obstetric haemorrhage (30.79%), while the third cause was severe maternal anaemia constituting 11.42%.

Causes of Maternal Near Miss (MNM) cases.

CausesNo of Maternal near miss cases (n=315)Percentage of near miss cases (%)Incidence of near miss cases/1000 live births
Hypertensive disorders of pregnancy133 (total)42.223.80
Eclampsia42
Severe preeclampsia71
HELLP20
Severe anaemia3611.421.03
Haemorrhage9730.792.77
Sepsis309.520.85
Endocrinological dysfunction (GDM, thyroid disorders)020.640.057
Cardiac dysfunction082.540.22
Respiratory dysfunction020.640.057
Liver dysfunction072.220.20

HELLP: Haemolysis, elevated liver enzymes, low platelet count; GDM: Gestational diabetes mellitus


Of the total cases, eight patients required bilateral internal iliac artery ligation and seven patients required obstetric hysterectomy. Exploratory laparotomy was required for atonic Postpartum Hemorrhage (PPH) following cesarean section in two cases and following vaginal delivery in one case.

Most of the cases requiring internal iliac artery ligation and obstetric hysterectomy had underwent cesarean section (13 patients out of 15) and remaining two patients had vaginal deliveries. Amongst the seven patients, who required obstetric hysterectomy, two patients had uterine rupture, three patients had placenta previa, two patients required laparotomy for atonic PPH following cesarean section.

In the maternal mortality group, however, sepsis was the leading cause of maternal mortality. In patients with sepsis, four patients developed sepsis following cesarean section and one patient developed sepsis following normal vaginal delivery [Table/Fig-3].

Comparison of causes of near miss with maternal mortality; The documented and confirmed source of infection was diagnosed only in one case of Maternal Mortality (Leptospirosis). In case of MNM, no such infection was documented. For comparison purpose, we have mentioned “infection” as separate row. Hence Infection column against MNM is mentioned “0”.

CausesMaternal near MissMaternal mortalityMortality index
Severe anaemia3630.07
Hypertensive disorders in pregnancy13330.02
Sepsis3050.14
Respiratory dysfunction02
Cardiovascular dysfunction810.07
Hepatic dysfunction720.15
Neurological dysfunction01 (Tubercular meningitis)-
Infection01 (Leptospirosis)-
Haemorrhage9720.02

Out of eighteen maternal deaths, eight patients were primigravida (44.4%) and ten were multigravida (55.5%). Young Primigravida (<20 years) (n=6) contributed to one-third of total maternal deaths. Remaining twelve patients were in the age group of 20-30 years. Mortality index was highest in the sepsis group (14.28%) followed by severe anaemia (7.69%).

The most common intervention was admission to ICU (223 patients) contributing nearly to 70.89%, followed by mechanical ventilation in 31 patients (9.8%) [Table/Fig-4].

Therapeutic Interventions in this study (n=315); {Note: Some patients received more than one intervention. Hence, sum total interventions exceed number of patient(n)}.

InterventionsNumber of interventions (%)
Ventilator support31 (9.8)
Massive blood transfusion11 (3.49)
ICU admission
Obstetric ICU167 (53.01)
Medical ICU56 (17.77)
Obstetric hysterectomy7 (2.22)
Use of vasopressors28 (8.8)
Dialysis4 (1.26)
Internal Iliac artery ligation8 (2.53)
Laparotomy3 (0.95)
Repair of genital injuries12 (3.8)
Repair of bladder and bowel3 (0.95)
Management of ketoacidosis1 (0.31)

MNM to mortality ratio in our study was 17.5:1 [Table/Fig-5]. This means that for every single maternal death there were 17.5 MNM events. The mortality index was 5.7% in this study.

Near miss event indicators in our study.

VariablesValues
Maternal near Miss incidence ratio9.02/1000 live births
Maternal near Miss/mortality ratio17.5: 1
Mortality index5.7
Severe Maternal Outcome (SMO) ratio9.53/1000 livebirths

Discussion

In recent years, MNM has been increasingly used as indicator of obstetric care. MNM cases significantly outnumber maternal mortality cases. Maternal mortality ratio has decreased globally and hence it may be a less reliable indicator for assessing the quality of care a woman receives. On the other hand, MNM cases, being in large numbers provide robust data for assessment of obstetric care.

Investigating and interviewing MNM cases is less traumatic than probing maternal deaths, for the health care workers. The following table [Table/Fig-6] shows brief review of Indian studies of MNM.

Brief summary of Indian studies on MNM.

Other Indian Studies (Author) (Year of Publication) (n=sample size of the study)Findings
Kumari S (2020) (n=31925) [12]MNM incidence of 8 per 1,000 live births. MNM to mortality ratio was 1.9:1 Mortality Index was 34%
Tallapureddy S et al., (2017) (n=3900) [14]MNM incidence ratio was 8.46/1000 live births. Leading cause of MNM was obstetric haemorrhage (43.7%) followed by hypertensive disorders (31.2%). The mortality index was 15.79%. MNM/Mortality ratio was 5.34:1
Purandare C et al., (2014) (n=27433) [15]Number of MNM cases were 264. Incidence of MNM was 9.6/1000 live births. Leading cause of MNM was Obstetric haemorrhage.
Reena RP and Radha KR (2018) (n=3581) [9]MNM incidence ratio was 9.27/1000 live births. Leading cause of MNM was severe pre-eclampsia (40.6%) followed by obstetric haemorrhage (21.81%).
Gupta S et al., (2015) (n=6892) [16]MNM incidence ratio was 3.98/1000 live births. MNM to mortality ratio was 3.37:1. Leading cause of MNM was Obstetric haemorrhage. Most common cause for maternal mortality was hypertensive disorders. Mortality index was 22.8%
Roopa PS et al., (2013) (n=7390) [17]MNM incidence ration was 17.8/1000 live births. MNM to mortality ratio was 5.6:1 and mortality index was 14.9%
Mansuri F, et al., (2019) (n=21491) [18]MNM to mortality ratio was 3.13:1. Eclampsia and Preeclampsia were leading causes of MNM followed by postpartum haemorrhage
Jain U (2019) (n=13849) [19]MNM Incidence 14.34%; Leading cause of MNM was Hypertensive disorders (30.18%) followed by obstetric haemorrhage (27.67%); Most common cause of mortality postpartum haemorrhage.
Manjunatha S et al., (2018) (n=3347) [20]MNM Ratio 7.46/1000 Live births; and MNM to mortality ratio was 6.25:1 Sepsis and PPH were common causes of MNM.
Parmar NT et al., (2016) (n=1929) [ 21]MNM Ratio 23.85/1000 Live births; Haemorrhagic disorders were common cause of MNM.

MNM incidence ratio in our study was 9.02/1000 live births which is similar to other studies in India [9,14]. MNM events as well as maternal deaths, below 20 years of age, in this study were almost equally distributed in both the groups, 26.03% and 27.7%, respectively.

Our study had hypertensive disease in pregnancy as leading cause of MNM. In few other studies also [9,14] hypertensive disease was leading cause of MNM. Haemorrhage and hypertensive disorders in pregnancy are also listed as other common causes of MNM, irrespective of the criteria used for identification of MNM [14-20,22].

Overall, mortality index was 5.7% in this study. Sepsis (14.28%) was the leading cause of maternal mortality followed by severe anaemia and hypertensive disorders in pregnancy. A study by Roopa PS et al., also has sepsis as leading cause of maternal mortality in their study [18]. The near miss to mortality ratio in our study was 17.5: 1 which is similar to other study [23], which has the ratio of 14.2:1

Limitation(s)

Relatively smaller sample size and study population from specific region around the hospital were limitations of the study. Larger study across different regions in India will help to identify specific causes of MNM in the given region(s).

Conclusion(s)

Sepsis was most common cause of maternal mortality whilst hypertensive disorders were leading cause of MNM. Prompt detection of these disorders can significantly improve maternal outcome.

ANC: Antenatal careHELLP: Haemolysis, elevated liver enzymes, low platelet count; GDM: Gestational diabetes mellitus

References

[1]Reinke E, Supriyatiningsih Haier J, Maternal mortality as a Millennium Development Goal of the United Nations: A systematic assessment and analysis of available data in threshold countries using Indonesia as example J Glob Health 2017 7(1):01040610.7189/jogh.07.01040628400953  [Google Scholar]  [CrossRef]  [PubMed]

[2]Khan N, Pradhan MR, Identifying factors associated with maternal deaths in Jharkhand, India: A verbal autopsy study J Health Popul Nutr 2013 31(2):262-71.10.3329/jhpn.v31i2.1639123930345  [Google Scholar]  [CrossRef]  [PubMed]

[3]Census of India [Internet] 2020 Available from https://censusindia.gov.in/vital_statistics/SRS_Bulletins/Bulletins.html (Accessed July 2020)  [Google Scholar]

[4]UNICEF: Monitoring the situation of children and women-Maternal Mortality [Internet] Updated Sept 2019 Available from: https://data.unicef.org/topic/Maternal-health/Maternal-mortality/ (Accessed July 2020)  [Google Scholar]

[5]Sajedinejad S, Majdzadeh R, Vedadhir A, Tabatabaei MG, Mohammad K, Maternal mortality: A cross-sectional study in global health Global Health 2015 11:4Published 2015 Feb 1210.1186/s12992-015-0087-y25889910  [Google Scholar]  [CrossRef]  [PubMed]

[6]de Lima THB, Amorim MM, Buainain Kassar S, Katz L, Maternal near miss determinants at a maternity hospital for high-risk pregnancy in northeastern Brazil: A prospective study BMC Pregnancy Childbirth 2019 19(1):27110.1186/s12884-019-2381-931370813  [Google Scholar]  [CrossRef]  [PubMed]

[7]Rosmans C, Fillippi V, Reviewing severe maternal morbidity: Learning from survivors from life-threatening complications In Beyond the Numbers: Reviewing Deaths and Complications to Make Pregnancy Safer 2004 Geneva, SwitzerlandWorld Health Organization:103-24.  [Google Scholar]

[8]Pragti C, Maternal near miss: An indicator for maternal health and maternal care Indian journal of Community Medicine: Official publication of Indian Association of Preventive & Social Medicine 2014 39(3):132-37.10.4103/0970-0218.13714525136152  [Google Scholar]  [CrossRef]  [PubMed]

[9]Reena RP, Radha KR, Factors associated with maternal near miss: A study from KeralaIndian J Public Health 2018 62(1):58-60.10.4103/ijph.IJPH_20_1629512568  [Google Scholar]  [CrossRef]  [PubMed]

[10]Mishra CK, Maternal near miss review operational guidelines 2014 ((Annexure 2):35-40.[Internet] Available at: http://www.nrhmorissa.gov.in/writereaddata/Upload/Documents/Maternal_Near_Miss_Operational_Guidelines.pdf. [Accessed July 2020]  [Google Scholar]

[11]Ghazal-Aswad S, Badrinath P, Sidky I, Safi TH, Gargash H, Abdul-Razak Y, Severe acute maternal morbidity in a high-income developing multiethnic country Matern Child Health J 2013 17(3):399-404.10.1007/s10995-012-0984-022415814  [Google Scholar]  [CrossRef]  [PubMed]

[12]Kumari S, Kapoor G, Sharma M, Bajaj B, Dewan R, Nath B, Study of maternal near miss and maternal mortality in a tertiary care hospital Journal of Clinical and Diagnostic Research 2020 14(4):QC01-06.10.7860/JCDR/2020/42710.13634  [Google Scholar]  [CrossRef]

[13]Magar JS, Rustagi PS, Malde AD, Retrospective analysis of patients with severe maternal morbidity receiving anaesthesia services using ‘WHO near miss approach’ and the applicability of maternal severity score as a predictor of maternal outcome Indian J Anaesth 2020 64:585-93.10.4103/ija.IJA_19_2032792734  [Google Scholar]  [CrossRef]  [PubMed]

[14]Tallapureddy S, Velagaleti R, Palutla H, Satti CV, “Near-Miss” obstetric eventsand Maternal mortality in a tertiary care hospital Indian J Public Health 2017 61(4):305-08.10.4103/ijph.IJPH_268_1629219140  [Google Scholar]  [CrossRef]  [PubMed]

[15]Purandare C, Bhardwaj A, Malhotra M, Bhushan H, Chhabra S, Shivkumar P, Maternal near-miss reviews: Lessons from a pilot programme in India BJOG 2014 121(Suppl. 4):105-11.10.1111/1471-0528.1294225236643  [Google Scholar]  [CrossRef]  [PubMed]

[16]Gupta S, Wadhwa L, Gupta T, Sushma K, Nupur G, Amrita P, Evaluation of severe maternal outcomes to assess quality of maternal health care at a tertiary center The Journal of Obstetrics and Gynecology of India 2015 65(1):23-27.10.1007/s13224-014-0558-825737618  [Google Scholar]  [CrossRef]  [PubMed]

[17]Roopa PS, Verma S, Rai L, Kumar P, Pai MV, Shetty J, “Near Miss” Obstetric events and maternal deaths in a tertiary care hospital: an audit Journal of Pregnancy 2013 2013:39375810.1155/2013/39375823878737  [Google Scholar]  [CrossRef]  [PubMed]

[18]Mansuri F, Mall A, Analysis of maternal near miss at tertiary level hospitals, ahmedabad: A valuable indicator for maternal health care Indian J Community Med 2019 44(3):217-21.10.4103/ijcm.IJCM_267_1831602106  [Google Scholar]  [CrossRef]  [PubMed]

[19]Jain U, A study on maternal near miss cases in Government Medical College Shivpuri, India Int J Reprod Contracept Obstet Gynecol 2019 8(8):3047-55.10.18203/2320-1770.ijrcog20193149  [Google Scholar]  [CrossRef]

[20]Manjunatha S, Harsha TN, Damayanthi HR, A study of maternal near miss at a district teaching hospital: A retrospective observational study Int J Reprod Contracept Obstet Gynecol 2018 7:1421-26.10.18203/2320-1770.ijrcog20181328  [Google Scholar]  [CrossRef]

[21]Parmar NT, Parmar AG, Mazumdar VS, Incidence of Maternal “Near-Miss” events in a tertiary care hospital of central Gujarat, India The Journal of Obstetrics and Gynecology of India 2016 66(Suppl 1):315-20.10.1007/s13224-016-0901-327651623  [Google Scholar]  [CrossRef]  [PubMed]

[22]Jayaratnam S, Kua S, deCosta C, Franklin R, Maternal ‘near miss’ collection at an Australian tertiary maternity hospital BMC Pregnancy Childbirth 2018 18(1):221Published 2018 Jun 1110.1186/s12884-018-1862-629890966  [Google Scholar]  [CrossRef]  [PubMed]

[23]Samant PY, Dhanawat J, Maternal near miss: An Indian tertiary care centre audit Int J Reprod Contracept Obstet Gynecol 2019 8(5):1874-79.10.18203/2320-1770.ijrcog20191935  [Google Scholar]  [CrossRef]