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Revista Peruana de Medicina Experimental y Salud Publica

versión impresa ISSN 1726-4634

Rev. perú. med. exp. salud publica vol.41 no.1 Lima ene./mar. 2024  Epub 25-Mar-2024

http://dx.doi.org/10.17843/rpmesp.2024.411.13335 

Brief report

Perinatal mortality in the municipality of Panchimalco, San Salvador: a case series

Evelyn Castellanos-Flores1  , Epidemiologist, MD, master in Public Health
http://orcid.org/0000-0002-4225-0986

1 Ministerio de Salud, Instituto Nacional de Salud, San Salvador, El Salvador.

ABSTRACT

Perinatal mortality is an indicator that reflects the impact of maternal and infant care in a country. This study presents nine cases of perinatal mortality that occurred in the municipality of Panchimalco, El Salvador. The information was obtained from audit reports. The mothers of the deceased infants were aged between 17 and 43 years, did not use contraceptive methods, had incomplete prenatal controls and averaged a gestational age of 31 weeks. Three deliveries were attended in the community. Most perinatal deaths occurred before delivery due to unknown causes, and live births were preterm. We identified factors such as deficits in comprehensive care for women. Further studies are needed to determine the main factors influencing perinatal deaths in El Salvador.

Keywords: Perinatal Mortality; Fetal Death; Prenatal Care

KEY MESSAGES

Motivation for the study. It is necessary to understand the maternal and infant characteristics of perinatal deaths. Additionally, it is required to generate evidence that contributes to a better understanding of these events.

Main findings. Nine cases of perinatal deaths with maternal-fetal risk characteristics were identified. Most deaths occurred before delivery, with prematurity predominating in the neonates.

Implications. Understanding the maternal and infant characteristics of perinatal deaths is essential for developing preventive strategies aimed at reducing risk factors related to perinatal mortality.

INTRODUCTION

Perinatal mortality is one of the major health issues globally, it reflects the quality of healthcare provided to both the mother and the newborn 1. According to the World Health Organization (WHO) and the International Classification of Diseases (ICD-10), it encompasses fetal deaths from 22 weeks of pregnancy to deaths within the first week of life 2. In 2019, the mortality rate for this population worldwide was 4.3 million 3. Perinatal mortality is associated with various maternal-fetal risk factors and with social, cultural, and economic determinants 4.

According to the records of the Health Information System on Morbidity, Mortality, and Vital Statistics of the Ministry of Health in El Salvador (SIMMOW), during the period from 2018 to 2020, the average perinatal mortality rate was 11.5 per 1000 births 5. Considering that perinatal mortality is one of the most important issues related to comprehensive maternal and child care, there is limited scientific evidence on the subject and no publications describing the situation in El Salvador. This study aims to characterize sociodemographic and clinical aspects of maternal and child cases of perinatal deaths that occurred during the first year of the COVID-19 pandemic in a municipality south of San Salvador in El Salvador. The results obtained aim to contribute to the formulation of new strategies and research directions aimed at reducing this problem.

THE STUDY

A case series study was conducted on all perinatal deaths that occurred in the municipality of Panchimalco during 2020. This municipality is located 17 km south of the capital, at an altitude of 600 meters above sea level, covering an area of 91 km2. According to estimates from 2020, its population was 41,260 habitants, with over 65% residing in rural areas. Panchimalco is recognized as an indigenous town, where the primary economic activity is the production of products derived from maize 6.

This study presents the characteristics of nine cases of deaths that occurred from the 22nd week of gestation to the first week of life, according to the WHO classification and the CIE-10 2. In the first stage of the information-gathering process, we conducted a search in the SIMMOW 5 for cases diagnosed with perinatal death in the municipality of Panchimalco in 2020. In the second stage, these cases were cross-referenced with the audit reports of the perinatal death registration books from the two health units in the municipality. The audit reports contain clinical summaries, verbal autopsies, and interviews conducted with mothers by pediatricians, epidemiologists, and public health officials. The information gathered in the audit reports was used to define the diagnosis of perinatal death cases based on the CIE-10, taking into account codes P00 to P96, which refer to conditions originating in the perinatal period, and codes Q00-Q99 referring to congenital malformations, deformities, and chromosomal anomalies 2.

Data from SIMMOW and audit reports were collected using a digital form created with the KoBoToolbox tool 7. The variables considered were based on sociodemographic aspects, maternal clinical history, and characteristics of the deceased. The supplementary material provides a complete description of the study variables.

The resulting database was analyzed using Excel with the Real Statistics add-in. To assess the normality of numerical variables, the Shapiro-Wilk test was applied, revealing numerical variables with non-normal distribution. In these, the median and interquartile range (IQR) were used for their description. Additionally, the perinatal mortality rate was calculated as the number of perinatal deaths per 1000 births (both live and deceased), and tables were generated to present the main findings.

The research process was conducted confidentially and we adhered to the ethical principles of the Helsinki Declaration and good clinical practices 8. The project was approved by the Research Ethics Committee of the Metropolitan Health Region through the certificate 2021-CLEIS-09.

FINDINGS

In the municipality of Panchimalco, in 2020, a total of nine cases of perinatal deaths were recorded out of 788 births (both live and deceased). This represents a perinatal mortality rate of 11.4 per 1000 births. The median age of the mothers was 28 years (IQR: 24.5-34.5).

Most (five cases) resided in rural areas, and the educational level (seven cases) was basic, with one mother having no education and another having completed high school. Additionally, no instances of maternal violence, drug use, or alcohol consumption were identified (Table 1).

Table 1 Sociodemographic characteristics of mothers who experienced perinatal deaths. 

Cases Education level Family status Occupation Number of household members Area of residence Housing tenure Basic services Time to reach healthcare facility
Case 1 Elementary school Accompanied Homemaker 4 Rural Owned Less 1 h
Case 2 Bachelor’s degree Accompanied Homemaker 5 Urban Rented Less 1 h
Case 3 Elementary school Accompanied Homemaker 5 Urban Borrowed Less 1 h
Case 4 High school Married Homemaker 5 Rural Owned Less 1 h
Case 5 Elementary school Accompanied Homemaker 2 Rural Owned Less 1 h
Case 6 None Accompanied Homemaker 13 Urban Borrowed More 1 h
Case 7 High school Accompanied Informal employment 4 Rural Rented More 1 h
Case 8 Elementary school Accompanied Homemaker 3 Rural Owned More 1 h
Case 9 High school Accompanied Homemaker 6 Urban Owned Less 1 h

In the majority of cases (six), women had more than two pregnancies, being the most notable case the one numbered 6, who had nine pregnancies, the highest number recorded. Most mothers (six cases) did not report any history of previous illnesses; however, cases 1, 3, and 9 presented overweight and obesity, with case 3 additionally having vaginosis. No history of COVID-19 was described. Prenatal care attendance was irregular, with a median of 3 (IQR: 0.5-5.5) visits, all of which were performed at first-level facilities (Table 2).

Table 2 Key findings regarding cases of perinatal deaths. 

Case Maternal age (years) Obstetric formula History of illness Number of prenatal check-ups Birth care location Condition at birth Gestational age (weeks) Birth weight (grams) Sex of the deceased Hours after birth Cause of death diagnosis
1 27 G2P1001 Overweight 7 Hospital Deceased 38 2645 Female 0 Unspecified fetal death
2 28 G1P0000 No 3 Hospital Deceased 36 1770 Male 0 Unspecified fetal death
3 25 G4P3300 Overweight and vaginosis 6 Hospital Deceased 35 2550 Male 0 Patau syndrome
4 24 G2P1001 No 0 Community Deceased 26 1115 Female 0 Unspecified fetal death
5 36 G1P0000 No 3 Hospital Deceased 27 709 Male 0 Unspecified fetal death
6 43 G9P8008 No 0 Hospital Alive 33 900 Male 3 Edwards syndrome
7 17 G1P0000 No 1 Community Alive 27 1001 Male 3 Extreme prematurity
8 29 G2P1001 No 4 Community Alive 22 600 Female 8 Neonatal bacterial sepsis
9 33 G2P1001 Obesity 5 Hospital Alive 36 2635 Male 2 Birth asphyxia

According to the delivery care, we observed that the hospital was the main place of delivery (six cases), with three cases delivered in the community. The gestational age had a median of 33 (IQR: 26.5-36.0) weeks. Regarding birth weight, six cases were under 2500 g (Table 2).

The diagnoses were stillbirths (four cases), and were classified as unspecified fetal deaths. One case was registered as death due to congenital malformation. In early neonatal deaths, one case was classified as due to congenital malformation, surviving three hours; another due to asphyxia, surviving two hours; one due to unspecified bacterial sepsis, surviving eight hours; and another due to extreme prematurity (2nd twin), surviving three hours (Table 2).

In other findings, the majority of parents (eight cases) did not use contraceptive methods. Regarding previous perinatal death history, only case 3 were registered as such.

The duration of labor was less than 12 hours in seven cases, and in two cases (3 and 4), it exceeded 12 hours. The majority of cases (seven) had membrane rupture at the time of delivery. Six cases were delivered vaginally, and three cases were delivered by cesarean section, with cases 1 and 3 due to previous cesarean sections and case 9 due to transverse position cesarean. Male sex predominated in the majority of cases (six cases) (Table 3).

Table 3 Maternal-fetal characteristics of perinatal death cases. 

Cases History of perinatal death Previous contraception Planned pregnancy Location of prenatal care Transferred for childbirth care Time until birth Moment of membrane rupture Birth route Birth results
Case 1 No No Yes Primary care level Yes Less 12 h During childbirth Cesarea Only one
Case 2 No No data Yes Primary care level No Less 12 h During childbirth Vaginal Only one
Case 3 Yes No Yes Primary care level Yes More 12 h During childbirth Cesarea Only one
Case 4 No No Yes None No More 12 h Unknown Vaginal Only one
Case 5 No No No Primary care level No Less 12 h Unknown Vaginal Only one
Case 6 No No Yes None No Less 12 h During childbirth Vaginal Only one
Case 7 No No No Primary care level Yes Less 12 h During childbirth Vaginal Twin
Case 8 No No No Primary care level Yes Less 12 h During childbirth Vaginal Only one
Case 9 No Yes Yes Primary care level Yes Less 12 h During childbirth Cesarea Only one

In the reports, we found that the majority of delays (eight cases) corresponded to delay 1 (delay in seeking medical attention), while 3 cases (4, 7, and 8) corresponded to delay 2 (delay in reaching the nearest health facility), with no report of delay in case 3.

DISCUSSION

The study reveals that the perinatal mortality rate in the municipality of Panchimalco in 2020 was 11.4 per 1000 births, exceeding the national rate (8.8 per 1000 births) 5. This municipality is predominantly rural and characterized by extreme poverty, sharing similarities with other studies conducted in high-risk areas for perinatal mortality 9.

In the nine reported cases, notable factors include rural origin, basic educational level, extreme maternal ages, multigravidity, diseases such as overweight, obesity, and vaginosis, non-compliance with prenatal care, delivery in the community, low birth weight for gestational age, and prematurity.

Some studies link the absence or low level of education with poor social development, leading to inadequate knowledge about maternal nutrition and health 10. Biological, social, and fetal pathology risk factors are related to extreme ages 11. We found a mother under 20 years old and two mothers over 35 years old. Another characteristic considered an obstetric risk factor in this study is multigravidity, found in the majority of cases 12.

In this study, three mothers had maternal conditions related to overweight, obesity, and vaginosis, with these cases corresponding to cesarean deliveries and birth weights over 2500 g. Systematic reviews indicate that these characteristics contribute to early placental and fetal dysfunction 13. Although national protocols for prenatal care recommend prenatal enrollment and six subsequent check-ups 14, this study reflects non-compliance with the number and regularity of check-ups, which according to some studies, contributes to the late identification of maternal and fetal pathologies 15.

Perinatal mortality is higher in out-of-hospital deliveries due to lack of adequate care 16, as evidenced by three deliveries attended in the community. A predominance of male sex was observed, considered more vulnerable to intrauterine stressors 9.

Low gestational age, low birth weight for gestational age, and prematurity are related to obstetric and healthcare factors 17, being common findings in this study, both in stillbirths as well as in neonates. Additionally, we found that all early neonatal deaths were prematures with short survival, a characteristic considered risk factors for perinatal death 18.

Regarding the increase in COVID-19 cases in El Salvador in 2020, none of the mothers in the study presented symptoms, and they reported no contact with sick individuals. According to a study conducted on mothers with COVID-19, the majority were asymptomatic 19. Additionally, the mental health of the mothers related to the stress of isolation and fear of contagion from leaving home was not assessed, a factor that is described as potentially related to prematurity 20.

In the study limitations, we must acknowledge that, due to the use of reports from healthcare facilities, there was no direct control over data collection from the mothers. Although the audit analysis identified delays, the attitudes, limitations in seeking immediate healthcare, transportation difficulties, as well as information regarding hospital management, could not be specified. Another limitation is the lack of RT-PCR tests for mothers to rule out SARS-CoV-2 infection, and in cases of unknown causes of death, no pathological examination (autopsy) was performed. On the other hand, this study helps to understand the behavior of perinatal deaths in a municipality of the country and describes the factors that may be related to these deaths.

In conclusion, perinatal mortality cases exhibit multifactorial characteristics in rural areas with limited socioeconomic resources, most of which correspond to deaths occurring before delivery of unknown cause, and those born alive commonly had prematurity as a factor for subsequent death. The majority of mothers had high-risk pregnancies, and the diagnoses of deaths are related to preventable causes, possibly linked to delays.

There is a need to strengthen comprehensive care for women from early ages, during the prenatal, delivery, postpartum, and immediate newborn care periods. Given that this is a study conducted in one municipality of the country, we consider it necessary to develop further research that allows for a deeper understanding of the factors related to perinatal deaths. It is necessary to incorporate autopsies into perinatal mortality surveillance protocols, especially in cases of unknown origin.

Acknowledgments.

To the staff of the health units in Panchimalco and Planes de Renderos for their collaboration in obtaining the audit report data. To Alejandro López and Roberto Mejía for their technical support in the manuscript.

REFERENCES

1. Moss W, Darmstadt GL, Marsh DR, Black RE, Santosham M. Research priorities for the reduction of perinatal and neonatal morbidity and mortality in developing country communities. J Perinatol. 2002;22(6):484-495. doi: 10.1038/sj.jp.7210743. [ Links ]

2. Organización Panamericana de la Salud. Clasificación Estadística Internacional de Enfermedades y Problemas Relacionados con la Salud [Internet]. Washington, D.C.: OPS; 2018 [citado el 7 de agosto del 2023]. Disponible en: https://www.minsa.gob.pe/reunis/data/cie10/volumen1-2018.pdf. [ Links ]

3. Suzuki E, Kashiwase H. El primer informe de la ONU sobre la mortinatalidad mundial revela un número enorme y descuidado [Internet]. Washington, D.C.: The World Bank; 2020. [citado el 9 de agosto del 2023]. Disponible en: https://blogs.worldbank.org/opendata/first-ever-un-report-global-stillbirths-revealsenormous-and-neglected-toll. [ Links ]

4. Roro EM, Sisay MM, Sibley LM. Determinants of perinatal mortality among cohorts of pregnant women in three districts of North Showa zone, Oromia Region, Ethiopia: Community based nested case control study. BMC Public Health, 2018;18(1):888. doi: 10.1186/s12889-018-5757-2. [ Links ]

5. Ministerio de Salud de El Salvador. Morbimortalidad Estadísticas Vitales [Internet]. San Salvador; MINSAL; 2021 [citado el 2 de febrero del 2024]. Disponible en: https://www.salud.gob.sv/. [ Links ]

6. Alcaldía Municipal de Panchimalco. Diagnóstico territorial [Internet]. Panchimalco, San Salvador: Municipio de Panchimalco; 2020 [citado el 21 de febrero del 2024]. Disponible en: https://www.transparencia.gob.sv/institutions/alc-panchimalco/documents/412260/download#:~:text=Se%20destaca%20que%20dentro%20del,casco%20urbano%20lo%20conforma%205. [ Links ]

7. Banco Interamericano de Desarrollo. Caja de herramientas Kobo. KoboToolbox [Internet] Washington, D.C.: BID; 2021 [citado el 8 de enero del 2024]. Disponible en: https://code.iadb.org/es/herramientas/kobotoolbox. [ Links ]

8. Organización Panamericana de la Salud. Buenas Prácticas Clínicas: Documento de las Américas [Internet]. Washington, D.C.: OPS; 2018 [citado el 29 de agosto del 2023]. Disponible en: https://investigacion.unab.cl/wp-content/uploads/2018/08/Gui%CC%81a-buenas-pra%CC%81cticas-cli%CC%81nicas_OPS.pdf. [ Links ]

9. Kujala S, Waiswa P, Kadobera D, Akuze J, Pariyo G, Hanson C. Trends and risk factors of stillbirths and neonatal deaths in Eastern Uganda (1982-2011): a cross-sectional, population-based study. Trop Med Int Health. 2017; 22(1):63-73. doi: 10.1111/tmi.12807. [ Links ]

10. Cantarutti A, Franchi M, Monzio Compagnoni M, Merlino L, Corrao G. Mother's education and the risk of several neonatal outcomes: an evidence from an Italian population-based study. BMC Pregnancy Childbirth. 2017;17(1):1-10. 10.1186/s12884-017-1418-1. [ Links ]

11. Kim YN, Choi DW, Kim DS, Park EC, Kwon JY. Maternal age and risk of early neonatal mortality: a national cohort study. Sci Rep. 2021;11(1):814. doi: 10.1038/s41598-021-80968-4. [ Links ]

12. TTrejo VKX, Ávila EJF, Pardo MRV. Índice de muerte fetal tardía y factores de riesgo obstétricos, perinatales y socioeconómicos asociados. Arch Inv Mat Inf [Internet]. 2012 [citado el 2 de febrero del 2024];4(2):71-78. Disponible en: https://www.medigraphic.com/pdfs/imi/imi-2012/imi122c.pdf. [ Links ]

13. Catalano PM, Shankar K. Obesity and pregnancy: mechanisms of short term and long term adverse consequences for mother and child. BMJ. 2017:j1. doi: 10.1136/bmj.j1. [ Links ]

14. Ministerio de Salud de El Salvador. Protocolos de asistencia para los periodos preconcepcional, prenatal, parto, puerperio, a la persona recién nacida y lactancia materna en situación de bajo riesgo en Primer Nivel de Atención [Internet]. San Salvador; MINSAL; 2022 [citado el 7 de septiembre del 2023]. Disponible en: https://crecerjuntos.gob.sv/dist/documents/protocolos_asistencia.pdf. [ Links ]

15. Goldenberg R, McClure E. Importance of prenatal care in reducing stillbirth. BJOG. 2018; 125(2):148-148. doi:10.1111/1471-0528.14696. [ Links ]

16. Valdés V R, Carvajal C JA. Partos fuera de un hospital y resultados perinatales. Rev Chil Obstet Ginecol. 2016; 81(4):343-345. doi: 10.4067/S0717-75262016000400013. [ Links ]

17. Younes S, Samara M, Al-Jurf R, Nasrallah G, Al-Obaidly S, Salama H, et al. Incidence, Risk Factors, and Outcomes of Preterm and Early Term Births: A Population-Based Register Study. Int J Environ Res Public Health. 2021;18(11):5865. 10.3390/ijerph18115865. [ Links ]

18. Mendoza Tascón LA, Gómez Giraldo D, Gómez Giraldo D, Osorio Ruíz MÁ, Villamarín Betancourth EA, Arias Guatibonza MD, et al. Determinantes biológicos de mortalidad neonatal, en una población de mujeres adolescentes y adultas de un hospital en Colombia. Rev Chil Obstet Ginecol. 2017;82(4):424-437. doi:10.4067/s0717-75262017000400424. [ Links ]

19. Dávila-Aliaga C, Hinojosa-Pérez R, Espinola-Sánchez M, Torres-Marcos E, Guevara-Ríos E, Espinoza-Vivas Y, et al. Resultados materno-perinatales en gestantes con COVID-19 en un hospital nivel III del Perú. Rev Perú Med Exp Salud Publica. 2021; 38(1):58-63. doi. 10.17843/rpmesp.2021.381.6358. [ Links ]

20. Lilliecreutz C, Larén J, Sydsjö G, Josefsson A. Effect of maternal stress during pregnancy on the risk for preterm birth. BMC Pregnancy Childbirth. 2016; 16(1):5. doi: 10.1186/s12884-015-0775-x. [ Links ]

Funding. Funds from the Ministry of Health of El Salvador.

Cite as. Castellanos-Flores E. Perinatal mortality in the municipality of Panchimalco, San Salvador: a case series. Rev Peru Med Exp Salud Publica. 2024;41(1):83-8. doi: 10.17843/rpmesp.2024.411.13335.

Received: April 17, 2023; Accepted: November 22, 2023

Correspondence. Evelyn Isabel Castellanos Flores; castellanosevelyn80@gmail.com

Author contributions.

The author of the study declare that they meet the four ICMJE criteria for authorship.

Conflict of interest.

The authors declare that they have no conflict of interest.

Roles according to CRediT.

ECF: conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing - original draft, writing - review & editing, visualization, supervision, project management.

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