Skip to main content
Gates Open Research logoLink to Gates Open Research
letter
. 2023 Jul 4;7:102. [Version 1] doi: 10.12688/gatesopenres.14112.1

An approach to determining the most common causes of stillbirth in low and middle-income countries: A commentary

Robert L Goldenberg 1, Jaume Ordi 2, Dianna M Blau 3, Natalia Rakislova 2, Vardendra Kulkarni 4, Najia Karim Ghanchi 5, Sarah Saleem 5,6, Shivaprasad S Goudar 7, Norman Goco 8, Christina Paganelli 8, Elizabeth M McClure 8,a; PURPOSe, CHAMPS, ISGlobal, and the MITS Surveillance Alliance investigators
PMCID: PMC10547115  PMID: 37795041

Abstract

Stillbirth, one of the most common adverse pregnancy outcomes, is especially prevalent in low and middle-income countries (LMICs). Understanding the causes of stillbirth is crucial to developing effective interventions. In this commentary, investigators working across several LMICs discuss the most useful investigations to determine causes of stillbirths in LMICs. Useful data were defined as 1) feasible to obtain accurately and 2) informative to determine or help eliminate a cause of death.

Recently, new tools for LMIC settings to determine cause of death in stillbirths, including minimally invasive tissue sampling (MITS) – a method using needle biopsies to obtain internal organ tissue from deceased fetuses for histology and pathogen identification in those tissues have become available. While placental histology has been available for some time, the development of the Amsterdam Criteria in 2016 has provided a useful framework to categorize placental lesions. The authors recommend focusing on the clinical history, the placental evaluation, the external examination of the fetus, and, when available, fetal tissue obtained by MITS, especially of the lung (focused on histology and microbiology) and brain/cerebral spinal fluid (CSF) and fetal blood (focused on microbiological analysis). The authors recognize that this approach may not identify some causes of stillbirth, including some genetic abnormalities and internal organ anomalies, but believe it will identify the most common causes of stillbirth, and most of the preventable causes.

Keywords: Stillbirth, cause of stillbirth, useful investigations, minimally invasive tissue sampling, pathology

Disclaimer

The views expressed in this article are those of the author(s). Publication in Gates Open Research does not imply endorsement by the Gates Foundation.

Stillbirths are one of the most common adverse pregnancy outcomes in low and middle-income countries (LMIC). In some high-income countries, stillbirth rates of 2–3 per thousand births are seen, while in some LMICs, reported stillbirth rates are 10 to 15-fold higher and may range from 30 to 50 per 1000 births 1, 2 . The Every Newborn Action Plan (ENAP) has set a goal for each country to have a stillbirth rate of <12/1000 births by 2030 3 . Many LMICs appear unlikely to achieve that goal.

In high-income countries, cause of death (COD) in stillbirths has been evaluated using several different methods, 35 by one count 4 , but because of differences in methodologies, there is still little consensus about the major causes. There is even less consensus about causes of stillbirths in LMICs, in part because until recently, evaluating the causes of stillbirths or reducing stillbirths in those locations has not been a major priority 5 . In addition, most useful tools to inform cause of stillbirth have not generally been available in many LMICs. The tools that are traditionally used for assigned cause of stillbirth in LMICs, (i.e., verbal autopsy) do not provide an accurate cause of stillbirth 6 . Thus, until recently, limited data have been available to inform cause of stillbirths in LMICs.

However, given that most stillbirths occur in LMICs, and because of the increased advocacy for reducing stillbirths in LMICs, determining accurate cause of stillbirth has assumed greater importance 7 . New tools to evaluate the cause of stillbirth, which are feasible in many LMICs, are now available. These tools include minimally invasive tissue sampling (MITS) – a method using needle biopsies to obtain internal organ tissue from deceased fetuses for histology and pathogen identification 810 , and multiplex polymerase chain reaction (PCR) to identify a wide range of pathogens in those tissues 11 . While the ability to study placental histology has been available for some time, the development and publication of the Amsterdam Criteria in 2016 has provided a useful framework to categorize placental lesions 12 . In addition, to reduce the bias from individual physician observation, many newer studies on stillbirth cause of death have used an independent panel to assess cause of death 13, 14 .

Given the range of tools now available to inform cause of stillbirth and the limited resources available, we believe the next phase is a determination of which investigations are most informative for stillbirth causation. From a United States’ study of the usefulness of diagnostic tests to determine cause of stillbirth, placental pathology was found to be useful in 64.6% of the cases and fetal autopsy in 42.4%, with other tests far less useful 15 . Studies from the Netherlands confirm the usefulness of placental pathology in determining COD in the majority of stillbirths 16 .

More recently, several groups are trying to understand which information, and which specific tests, are useful in determining stillbirth COD in specific LMIC areas 1719 . For the purpose of this exercise, we defined ‘useful’ tests as 1) data that are feasible to obtain accurately and 2) data that help determine a cause of death, or 3) help eliminate a cause of death 15 . One of the challenges to determine the most informative tests is that for many studies, an expert panel is the final arbiter of the cause of death. The specific information the panel has available can vary by project or case, and it is usually not clear which information individual panel members used to develop their opinion on COD, and how this information was used overall by the panels to designate a specific cause of death. Thus, we have summarized some of the main observations of the authors of this commentary from these panel discussions.

Our first observation is that in these studies conducted in LMIC, even under the best of circumstances, there is usually incomplete information available to panel members. The information may be unavailable due to prohibitive costs, because the technology was unavailable, or because the delivery occurred at home, and as a result the full complement of potentially useful information may not have been available to the panel.

In our view, the full complement of information to determine cause of stillbirth, at best, would include information from several domains ( Table 1). The first domain is maternal clinical history. Useful information in this domain includes a large variety of maternal conditions and especially hypertension, diabetes, and anemia. The second domain includes obstetric conditions that arise during the prenatal period or during labor and delivery including placental abruption, fetal distress, fetal malposition, and uterine rupture. The third domain includes data describing the placenta. These data would include a gross examination, with special emphasis on infarction and hemorrhage, some measures of placental size or weight compared to a reference standard, histology of the placental body, chorioamniotic membranes, and umbilical cord, focusing on signs of inflammation and malperfusion lesions 20 . The fourth domain, examination of the fetus, first using external observation, includes measurements and weight. Then, using one of several approaches to examine internal organs is important. These approaches may include full diagnostic autopsy, or more recently, MITS, to obtain internal organ tissue samples for histological examination and pathogen PCR for organism identification. We have found it especially useful to present all available data to the panel using a standard computerized approach 21 .

Table 1. Domains of the data considered most useful for cause of stillbirth evaluation.

Clinical
Conditions
Pregnancy
conditions
Placental evaluation Fetal physical
and histology
evaluation
Polymerase
chain reaction
(PCR)
Key
Elements
Hypertension,
Diabetes,
Anemia
Abruption,
Fetal distress,
Fetal malposition
Uterine rupture
Gross examination
Weight
Histology (body, membranes umbilical cord)
Inflammation, malperfusion lesions
Meconium *
Gross examination
Fetal weight
Lung histology
Meconium *
Placenta
Lungs
Brain/Cerebral
spinal fluid
Fetal blood
Source Clinical history Clinical history Placenta Physical exam
MITS ** or
Autopsy
Various tissues

*Meconium seen in any exam was always considered useful

**Minimally invasive tissue sampling (MITS)

Our next observation is that some of these data are more useful to the panel members than other data. Determining the usefulness of information is critical since a low-cost and efficient approach is necessary in order for stillbirth COD investigations to become routinely performed. Based on all available data and observations, several types of data will be most useful. The first of these is the relevant maternal clinical and obstetric history. The second is a careful placental evaluation starting with a gross examination including measurement of placental weight (with a comparison to an accepted standard to define small and large placentas), and including histology of the chorioamniotic membranes, umbilical cord and placental body with a focus on inflammation, hemorrhage and malperfusion. The third is an external examination of the fetus, (including weight in comparison to some standard to determine fetal growth restriction) 22 and especially for congenital anomalies. While an approach using MITS will likely miss some internal organ anomalies, this outcome is relatively rare.

Finally, we consider potential data from MITS examinations of internal organ histology and PCR for pathogen evaluation of these same tissues and the placenta. Our first observation is that for organ histology, lungs are the most informative organs, while liver and CNS histology provides the least information. Findings of amniotic fluid debris or meconium in the lung, likely due to fetal gasping, is present in somewhat less than half the stillbirths, and often helped the panels determine a diagnosis of fetal asphyxia 23 . Regarding microbiological analyses, PCR evaluation of blood, CSF, and brain tissue provided the most information 17 . Microbiological analysis of the placenta and membranes were also informative, as was the finding of meconium on any examination.

In summary, the most common causes of stillbirth in LMICs based on available reports include fetal asphyxia, infection, and congenital anomalies 24 . In individual cases, the panels used various types of data to choose one or several conditions as the most likely cause(s) of stillbirth. To define the most useful, efficient, and cost-effective data to collect in LMICs to define stillbirth COD, the authors recommend focusing on the clinical history, the placental evaluation, the external examination of the fetus, and when available, fetal tissue evaluation (obtained by MITS) of lung (focused on histology and microbiology) and brain/CSF and fetal blood (focused on microbiological analysis). We recognize that this approach will not identify some causes of stillbirth, including some genetic abnormalities and internal organ anomalies, but we believe it will identify the most common causes of stillbirth, most of the preventable causes 25 of stillbirth, and will be the most cost-efficient approach for use in LMICs.

Acknowledgments

The authors thank the project staff who collected and analyzed the data discussed in this commentary as well as the families who participated in studies referenced in this report.

PURPOSe Study Investigators: RTI: McClure EM; Columbia University: Goldenberg RL; KLE Academy of Higher Education and Research’s J N Medical College, Belagavi, India: Goudar SS, Dhaded SM, Nagmoti MB, Somannavar MS, Yogesh Kumar S, Harakuni SU: JJM Medical College, Davangere, India: Guruprasad G, Aradhya GH, Nadig, Kusgur VB, Raghoji CR, Siddartha ES, Patil LC, Pujar S, Dhananjaya S, Sarvamangala B, Veena GR, Mangala GK, Rajashekhar SK, Sunilkumar KB, Kulkarni VG, Nagaraj TS, Jeevika MU, Joish UK, Harikiran RR: Aga Khan University: Saleem S, Sunder S, Zafar A, Ahmed I, Uddin Z, Ghanchi N, Mirza W, Jinnah Post Graduate Medical Center: Yasmin H, Bano K, National Institute of Child Health; Raza J, Prakash J, Haider F.

ISGlobal/CaDMIA Plus Study Investigators: ISGlobal: Ordi J, Rakislova N, Bassat Q, Menéndez C, Martínez MJ, Maixenchs M, Hurtado JC, Marimón L, Navarro M, Casas I; Maputo Central Hospital: Carla Carrilho C, Ismail MR, Fernandes F, Lorenzoni C, Lovane L, Luis E; Centro de Investigaçao em Saude de Manhiça: Mandomando I, Macete E, Nhampossa T, Munguambe K, Cossa A, Chicamba V.

The CHAMPS Network Investigators: Blau D; CHAMPS Bangladesh: El Arifeen S, Gurley E; CHAMPS Ethiopia: Assefa N, Scott JA; CHAMPS Kenya: Onyango D, Akelo V; CHAMPS Mali: Sow S, Kotloff K; CHAMPS Mozambique: Bassat Q, Mandomando I, CHAMPS Sierra Leone: Jambai A, Ogbuanu I: CHAMPS South Africa: Madhi S

The MITS Surveillance Alliance Investigators: RTI International: Goco N, Paganelli C, Aceituno A, Parlberg L, Plotner D; ISGlobal: Ordi J, Centers for Disease Control Infectious Disease Pathology Branch: Martines R, Ritter J; Ohio State University: Clark S; CHAMPS Program Office: Blau D, Whitney C; University of Nairobi: Walong E.

Funding Statement

This commentary was informed in part by Bill and Melinda Gates Foundation grants to RTI International for PURPOSe (OPP116984), to Emory University for CHAMPS (OPP1126780), to ISGlobal for CaDMIA Plus (OPP1128001), and to RTI International for the MITS Alliance (INV-034017).

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 1; peer review: 2 approved]

Data availability

No data are associated with this article.

References

  • 1. Saleem S, Tikmani SS, McClure EM, et al. : Trends and determinants of stillbirth in developing countries: results from the Global Network's Population-Based Birth Registry. Reprod Health. 2018;15(Suppl 1):100. 10.1186/s12978-018-0526-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Lawn JE, Blencowe H, Waiswa P, et al. : Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016;387(10018):587–603. 10.1016/S0140-6736(15)00837-5 [DOI] [PubMed] [Google Scholar]
  • 3. Hug L, You D, Blencowe H, et al. : Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment. Lancet. 2021;398(10302):772–785. 10.1016/S0140-6736(21)01112-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Leisher SH, Teoh Z, Reinebrant H, et al. : Classification systems for causes of stillbirth and neonatal death, 2009-2014: an assessment of alignment with characteristics for an effective global system. BMC Pregnancy Childbirth. 2016;16:269. 10.1186/s12884-016-1040-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Goldenberg RL, McClure EM, Bhutta ZA, et al. : Stillbirths: the vision for 2020. Lancet. 2011;377(9779):1798–805. 10.1016/S0140-6736(10)62235-0 [DOI] [PubMed] [Google Scholar]
  • 6. Butler D: Verbal autopsy methods questioned. Nature. 2010;467(7319):1015. 10.1038/4671015a [DOI] [PubMed] [Google Scholar]
  • 7. Frøen JF, Friberg IK, Lawn JE, et al. : Stillbirths: Progress and Unfinished Business. Lancet. 2016;387(10018):574–86. 10.1016/S0140-6736(15)00818-1 [DOI] [PubMed] [Google Scholar]
  • 8. Menendez C, Castillo P, Martínez MJ, et al. : Validity of a minimally invasive autopsy for cause of death determination in stillborn babies and neonates in Mozambique: an observational study.Byass P, editor., PLoS Med. 2017;14(6):e1002318. 10.1371/journal.pmed.1002318 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Castillo P, Ussene E, Ismail MR, et al. : Pathological Methods Applied to the Investigation of Causes of Death in Developing Countries: Minimally Invasive Autopsy Approach. PLoS One. 2015;10(6):e0132057. 10.1371/journal.pone.0132057 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Rakislova N, Fernandes F, Lovane L, et al. : Standardization of minimally invasive tissue sampling specimen collection and pathology training for the child health and mortality prevention surveillance network. Clin Infect Dis. 2019;69(Suppl 4):S302–10. 10.1093/cid/ciz565 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Diaz MH, Waller JL, Theodore MJ, et al. : Development and Implementation of Multiplex TaqMan Array Cards for Specimen Testing at Child Health and Mortality Prevention Surveillance Site Laboratories. Clin Infect Dis. 2019;69(Suppl 4):S311–S321. 10.1093/cid/ciz571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Khong TY, Mooney EE, Ariel I, et al. : Sampling and Definitions of Placental Lesions: Amsterdam Placental Workshop Group Consensus Statement. Arch Pathol Lab Med. 2016;140(7):698–713. 10.5858/arpa.2015-0225-CC [DOI] [PubMed] [Google Scholar]
  • 13. Blau DM, Caneer JP, Philipsborn RP, et al. : Overview and development of the child health and mortality prevention surveillance determination of cause of death (decode) process and decode diagnosis standards. Clin Infect Dis. 2019;69(Suppl 4):S333–41. 10.1093/cid/ciz572 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. McClure EM, Saleem S, Goudar SS, et al. : The causes of stillbirths in south Asia: results from a prospective study in India and Pakistan (PURPOSe). Lancet Glob Health. 2022;10(7):e970–e977. 10.1016/S2214-109X(22)00180-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Page JM, Christiansen-Lindquist L, Thorsten V, et al. : Diagnostic Tests for Evaluation of Stillbirth: Results From the Stillbirth Collaborative Research Network. Obstet Gynecol. 2017;129(4):699–706. 10.1097/AOG.0000000000001937 [DOI] [PubMed] [Google Scholar]
  • 16. Korteweg FJ, Erwich JJ, Timmer A, et al. : Evaluation of 1025 fetal deaths: proposed diagnostic workup. Am J Obstet Gynecol. 2012;206(1):53.e1–53.e12. 10.1016/j.ajog.2011.10.026 [DOI] [PubMed] [Google Scholar]
  • 17. Goldenberg RL, Hwang K, Saleem S, et al. : Data Useful in Determining Cause of Stillbirth in South Asia.BJOG (under review). [DOI] [PubMed] [Google Scholar]
  • 18. McClure EM, Saleem S, Goudar SS, et al. : The project to understand and research preterm pregnancy outcomes and stillbirths in South Asia (PURPOSe): a protocol of a prospective, cohort study of causes of mortality among preterm births and stillbirths. Reprod Health. 2018;15(Suppl 1):89. 10.1186/s12978-018-0528-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Salzberg NT, Sivalogan K, Bassat Q, et al. : Mortality Surveillance Methods to Identify and Characterize Deaths in Child Health and Mortality Prevention Surveillance Network Sites. Clin Infect Dis. 2019;69(Suppl 4):S262–S273. 10.1093/cid/ciz599 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Kulkarni VG, Sunilkumar KB, Nagaraj TS, et al. : Maternal and fetal vascular lesions of malperfusion in the placentas associated with fetal and neonatal death: results of a prospective observational study. Am J Obstet Gynecol. 2021;225(6):660.e1–660.e12. 10.1016/j.ajog.2021.06.001 [DOI] [PubMed] [Google Scholar]
  • 21. Hwang KS, Parlberg L, Aceituno A, et al. : Methodology to Determine Cause of Death for Stillbirths and Neonatal Deaths Using Automated Case Reports and a Cause-of-Death Panel. Clin Infect Dis. 2021;73(Suppl_ 5):S368–S373. 10.1093/cid/ciab811 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Villar J, Papageorghiou AT, Pang R, et al. : The likeness of fetal growth and newborn size across non-isolated populations in the INTERGROWTH-21 st Project: the Fetal Growth Longitudinal Study and Newborn Cross-Sectional Study. Lancet Diabetes Endocrinol. 2014;2(10):781–92. 10.1016/S2213-8587(14)70121-4 [DOI] [PubMed] [Google Scholar]
  • 23. Guruprasad G, Dhaded S, Yogesh Kumar S, et al. : Lung Findings in Minimally Invasive Tissue Sampling (MITS) Examinations of Fetal and Preterm Neonatal Deaths: A Report from the PURPOSe Study. Clin Infect Dis. 2021;73(Suppl_ 5):S430–S434. 10.1093/cid/ciab846 [DOI] [PubMed] [Google Scholar]
  • 24. Goldenberg RL, Harrison MS, McClure EM: Stillbirths: The Hidden Birth Asphyxia - US and Global Perspectives. Clin Perinatol. 2016;43(3):439–53. 10.1016/j.clp.2016.04.004 [DOI] [PubMed] [Google Scholar]
  • 25. Goldenberg RL, Saleem S, Goudar SS, et al. : Preventable stillbirths in India and Pakistan: a prospective, observational study. BJOG. 2021;128(11):1762–1773. 10.1111/1471-0528.16820 [DOI] [PubMed] [Google Scholar]
Gates Open Res. 2023 Sep 7. doi: 10.21956/gatesopenres.15417.r34116

Reviewer response for version 1

Manoja Kumar Das 1

The Open Letter presents the opinion about the most appropriate options for identifying the causes of stillbirth in LMICs.  

The authors make a relevant point for using a rational approach to the challenging stillbirth issue globally. While there are several methods for stillbirth have been described, the most pragmatic and rational components are yet to be identified and adopted. There is a need to examine the factorial and incremental contribution of the various components including the clinical + gross autopsy/MITS examination + histopathology + microbiology + molecular diagnostic methods to inform the most contextually appropriate combination or bundling. 

There is a need to clarify the statement "35 by one count", in the sentence, "In high-income countries, cause of death (COD) in stillbirths has been evaluated using several different methods, 35 by one count".

Does the article adequately reference differing views and opinions?

Yes

Are all factual statements correct, and are statements and arguments made adequately supported by citations?

Yes

Is the Open Letter written in accessible language?

Yes

Where applicable, are recommendations and next steps explained clearly for others to follow?

Yes

Is the rationale for the Open Letter provided in sufficient detail?

Yes

Reviewer Expertise:

Public health, infectious diseases, immunization and vaccines.

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Gates Open Res. 2023 Sep 7. doi: 10.21956/gatesopenres.15417.r34121

Reviewer response for version 1

Lison Rambliere 1

The article is interesting and easy to read. I thank the authors for their work.

However, I feel that one essential point is not covered sufficiently. Indeed, as mentioned in the article, these data are very difficult to obtain in certain contexts, notably where deliveries take place at home or with traditional birth attendants, where stillbirths rates are highest. I think it would be interesting to develop this point further, giving ideas or advice for applications in these particularly complicated and poorly documented contexts. How do we deal with the absence of analysis laboratories in certain areas? Or the absence of trained medical staff to carry out these investigations? According to the authors, should the analyses of stillbirth causes be implemented routinely or only in the context of a research protocol?

I also have a minor comment. Sometimes authors use the abbreviation "LMIC" (e.g.: Stillbirths are one of the most common adverse pregnancy outcomes in low and middle-income countries (LMIC).) and sometimes "LMICs".

Does the article adequately reference differing views and opinions?

Yes

Are all factual statements correct, and are statements and arguments made adequately supported by citations?

Yes

Is the Open Letter written in accessible language?

Yes

Where applicable, are recommendations and next steps explained clearly for others to follow?

Partly

Is the rationale for the Open Letter provided in sufficient detail?

Yes

Reviewer Expertise:

Low and middle income countries, perinatality, children, epidemiology, cause of death, infectious disease, precarity

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Availability Statement

    No data are associated with this article.


    Articles from Gates Open Research are provided here courtesy of Bill & Melinda Gates Foundation

    RESOURCES