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Zika virus infection in pregnant women in Honduras: study protocol
Reproductive Health volume 13, Article number: 82 (2016)
Although there is increasing evidence for a relationship between symptomatic Zika virus (ZIKV) maternal infection, and microcephaly, a firm causal relation has yet to be established by epidemiologic studies. Studies also need to be conducted in recently infected settings. Our objectives are to assess the frequency of ZIKV infection during pregnancy in Honduras and the association of microcephaly with ZIKV infection.
We will perform a prospective study enrolling pregnant women at their first antenatal visit and following them up until delivery. At the time of enrollment, women will be interviewed to collect socio-demographic data, data needed to locate them for potential additional follow-up, and data about ZIKV symptoms during pregnancy. We will also collect maternal blood as soon as possible after enrollment. A probable maternal ZIKV infection will be defined as positive for maternal ZIKV IgM. A confirmed maternal ZIKV infection will be defined as positive for ZIKV IgM confirmed by plaque reduction neutralization test. Microcephaly at birth will be defined as an occipito-frontal circumference <2SD for sex and gestational age. Our objective is to enroll 2000 pregnant women. In a first step, we will follow a case cohort design and only analyze blood samples for cases and a sub-cohort of 200 women randomly selected. Blood samples for the entire population will be analyzed at a later stage if funds are available.
This protocol was designed to be implemented with minimal resources. It allows a cohort to be built, which could be a foundation for future in-depth and follow-up studies.
Plain english summary
There is increasing evidence that mothers infected with Zika virus (ZIKV) during pregnancy could have a baby with microcephaly (a small head), but doubts persist and the magnitude of this risk is still uncertain. Studies also need to be conducted in countries where ZIKV just arrived. Our objectives are to assess the frequency of ZIKV infection during pregnancy in Honduras and the association of microcephaly with ZIKV infection.
We will perform a study enrolling pregnant women at their first antenatal visit and following them up until delivery of their baby. At the time of first antenatal care visit, women will be asked questions about themselves, such as their level of education; about the best way to locate them for potential additional follow-up; and about ZIKV symptoms during pregnancy. We will also collect maternal blood as soon as possible after enrollment. We will ask the hospital where they will deliver to measure the head of the baby. Our objective is to enroll 2000 pregnant women. We will analyze the blood samples of the mothers of babies with microcephaly and of some of the mothers of normal babies. Blood samples of everybody will be analyzed at a later stage if funds are available.
Beginning in October 2015, Brazil reported a cluster of cases of microcephaly in newborns from the Northeast Region . Additionally, French Polynesia reported an increased number of central nervous system malformations in neonates from March 2014 to May 2015 . Although there is increasing evidence for a relationship with symptomatic Zika virus (ZIKV) maternal infection, a firm causal relation has yet to be established [2, 3]. ZIKV was detected in the amniotic fluid  and fetal brain tissue  of fetuses diagnosed with microcephaly antenatally and confirmed after birth. It has been also shown in in vitro experiments that ZIKV infects human cortical neural cell progenitors and limits their growth . Data from French Polynesia suggest that first-trimester infections are linked to the highest risk of fetal complications . A recently published study conducted in Rio de Janeiro, Brazil, reported that, within a cohort of pregnant women who had clinically symptomatic, laboratory-confirmed ZIKV infection during pregnancy, 29 % had fetal cranial-brain anomalies identified by ultrasound . Women without ZIKV infection had no cases diagnosed antenatally, but the sample size was small. One of the difficulties of studies where cases are identified at birth is that it is often impossible to determine if a woman was infected by ZIKV earlier in pregnancy. The virus can be identified by RT-PCR only during a few days after infection, and IgM can only be identified for a few weeks after infection . Another challenge is the serological cross-reactivity between ZIKV and other related viruses (e.g., dengue) . A review of the evidence supporting a causal relationship between ZIKV and microcephaly noted that the “consistent findings by ≥2 high-quality epidemiologic studies” criterion was only partially met .
In response to this situation, the Emergency Committee convened by the World Health Organization (WHO) on March 8th recommended that research should be intensified, with particular attention to studies that are conducted in more recently infected settings . In Honduras, 19,693 suspected cases of ZIKV infection have been reported during the first nineteen weeks of 2016 . An earlier study performed in Tegucigalpa, Honduras, showed that the frequency of dengue started increasing around June 1st and was at its maximum in July . We are assuming that ZIKV infection will follow a similar pattern.
We will conduct a prospective study in Honduras aiming to assess the frequency of ZIKV infection during pregnancy, and the association of ZIKV infection with microcephaly. The Specific Aims are the following:
Specific aim 1
To measure the frequency of ZIKV infection in pregnancy.
Specific aim 2
To measure the association between symptomatic and asymptomatic maternal ZIKV infection during pregnancy and microcephaly at birth.
Mothers who were infected with ZIKV during pregnancy have an increased risk of microcephaly.
Overview of study design
We will perform a prospective study enrolling pregnant women at their first antenatal visit and following them up until delivery. We will enroll pregnant women attending the Alonso Suazo Health Center (Tegucigalpa, Honduras) at their first antenatal visit. At the time of enrollment, women will be interviewed to collect socio-demographic data, data needed to locate them for potential additional follow-up (e.g., household location, municipality of residence, cell phone number), and data about ZIKV symptoms during pregnancy. We will also collect maternal blood as soon as possible after enrollment. A probable maternal ZIKV infection will be defined as positive for maternal ZIKV IgM . Head circumference at birth and gestational age estimated by last menstrual period and by Capurro scores  (or equivalent) will be used to diagnose microcephaly. Microcephaly at birth will be defined as an occipito-frontal circumference <2SD for sex and gestational age, using the INTERGROWTH-21st charts [13, 14]. In a first step, we will follow a case cohort design and only analyze blood samples for cases and a sample of the entire population (sub-cohort) . Blood samples for the entire population will be analyzed at a later stage if funds are available.
We will enroll women attending the Alonso Suazo Health Center (Tegucigalpa, Honduras), which had 7105 first antenatal visits in the last two years.
We will require written informed consent from the mother if she is 18 years or older. For mothers <18 years old, we will require written assent and written consent from at least one parent or guardian.
Exposure and main outcome
ZIKV infection - A suspected ZIKV infection during pregnancy will be defined as rash and/or fever and at least one of following signs or symptoms: arthralgia, arthritis, conjunctivitis (non-purulent/ hyperemic). A probable maternal ZIKV infection will be defined as positive for maternal ZIKV IgM. A confirmed maternal ZIKV infection will be defined as positive for ZIKV IgM confirmed by plaque reduction neutralization test (PRNT). These definitions are based on interim case definitions proposed by WHO as of February 12, 2016, and might be updated in the future . Date (day, month, year) of suspected, probable, and confirmed diagnosis will be registered.
Other birth outcomes
A live birth is a baby born with any sign of life, irrespective of gestational age .
A stillbirth is a baby born without any sign of life and birthweight of ≥500 g; or, if missing, ≥22 completed weeks of gestation; or, if missing, body length ≥25 cm .
Gestational age (completed weeks), based on the Last Menstrual Period (LMP) or a clinical estimate. The clinical estimate will be based on the Capurro Score (or equivalent) . This score is the standard method to evaluate gestational age by physical examination of an infant at birth, widely used in Latin America. The clinical estimate will be used if the discrepancy between the LMP-based estimate and the clinical estimate is greater than 10 days; a preterm birth is <37 weeks; a very preterm birth is <32 weeks.
Birthweight (grams); a low birthweight baby weighs <2500 g; a very low birthweight baby weighs <1500 g.
Body length (cm).
Maternal age (years); parity (including current birth).
Reproductive history (year of occurrence): previous pregnancies, abortions, stillbirths, live births, infants’ or children’s death.
Educational level (completed years).
Household location and municipality.
Data sources: clinical data, socio-demographic data, and geographical data
Clinical data and socio-demographic data
Data about the mother will be collected by interviewing the mother and from the medical histories. Data about the newborn will be collected from medical histories. An insertion tape (Seca 212 or equivalent) will be recommended for measuring head circumference and an infantometer (Seca 416 or equivalent) for length. Study personnel will be trained in abstracting medical histories.
Street addresses will often be unreliable in the areas where participating women live; thus, detailed information will be collected at enrollment:
Household location (addresses will be registered if available).
Municipality of residence. Interviewers will have a list of municipalities available during the interview and will verify that the name of the municipality is valid.
Cell phone number of the participants.
Study personnel familiar with the area will use the information provided by the mother to geocode the household location using Google Earth. In a previous study, our staff were able to locate the households in the field in more than 90 % of the cases and used Google Earth to document the locations. If the probable household location is within the municipality of residence provided by the mother, the municipality will be confirmed as valid. In case of discrepancy, we will call the mother and request additional information.
Data sources: blood
A minimum of 5 mL of venous maternal blood and no more than 10 mL will be collected as soon as possible after enrollment. We estimate from our previous studies that >99 % of the maternal samples will be usable.
Storage of biological samples
Consent forms will include an opt-out provision that otherwise allows participating study institutions to store blood specimens for up to ten years for confirmatory studies (including diagnosis of co-infections) and for potential genetic studies linked to mother-to-child transmission of ZIKV. In our previous studies, >99 % of the participating women have accepted the storage.
Blood samples will be stored in part on filter paper kept in plastic bags with desiccant at 4 °C until use, and additional samples (e.g., serum or plasma) will be frozen at or below −20 °C until use. Freezer-safe barcode labels (Brady, Milwaukee, WI, or equivalent) will be pasted on each of the biological samples and will be scanned to document the location of the samples. Temperatures of freezers and refrigerators will be monitored by digital temperature data loggers (SM320, Dickson, Addison, IL, or equivalent). The Data Center will manage the barcode and temperature data.
Investigators and staff performing the laboratory procedures will be blinded for the presence of microcephaly. We will measure ZIKV IgM on maternal blood, using tests and procedures recommended by the CDC . Stored specimens will also allow for future serological testing, molecular analyses, and testing for insecticides, including larvicides.
Data management will be similar to the plan we have used in previously funded studies and will be coordinated by the Institute for Clinical Effectiveness and Health Policy (Instituto de Efectividad Clínica y Sanitaria [IECS], Buenos Aires, Argentina). Data will be collected on paper forms designed specifically for the study. For each participating woman, a study number (alpha-numeric, with check digit) will be assigned. A set of labels with each number will be designed to be pasted on the data forms of the mother and her newborn, and a freezer-safe barcode label (Brady, Milwaukee, WI, or equivalent) will be pasted on each of the biological samples. An inclusion form will be used to collect data during participants’ enrollment. Names and other personal identifiers will be recorded in the inclusion form header, which will be stripped from the main body containing data. Each part will be identified with a study label number. The inclusion form body will be sent to the local data center for data entry. This system ensures that personal identifiers will not be taken from the study site and will be kept securely by the site coordinator.
The data forms will be entered in OpenClinica, a secure web data management system (v 22.214.171.124or higher), or REDCap  which is an open source software for clinical research studies using distributed data entry. Additionally, digital pictures (with date and time) or scans of each data form will be taken and will be regularly sent (encrypted) to IECS. This system will allow for a digital backup of all study data forms, as well as a parallel second data entry of 10 % of the forms at IECS, to detect systematic errors at data entry.
In addition, the Data Center will manage the information from the freezers’ and refrigerators’ temperature data loggers, preparing graphs and detecting values out of expected range. The Data Center will also manage the stock information from the scanned biological samples barcodes.
Monitoring will be done through weekly on-site visits to the Alonso Suazo Health Center by the site coordinator, who will complete weekly reports that will be submitted to the Data Center. Data Center staff will conduct weekly monitoring calls with the site coordinator to discuss site reports and will produce weekly summary reports, which will be submitted to the Principal Investigator and the study coordinating center. For quality assurance, the Principal Investigator and Data Center staff will perform at least one site visit. During the site visits, source data and biological samples verification will be performed in 10 % of cases and 10 % of controls. All storage and laboratory procedures will be audited as well.
Our objective is to enroll 2000 pregnant women. A sub-cohort of 200 women will be randomly selected.
Specific aim 1
The sub-cohort of 200 women will allow us to measure a seroprevalence of 5 % with a 95 % confidence interval of + − 3 %.
Specific aim 2
Assuming a 2 % frequency of microcephaly, we estimate that 40 cases and a sub-cohort of 200 women will give us 80 % power (0.05 alpha level) to detect an odds ratio (OR) of 5 for the association between ZIKV infection and microcephaly, if the prevalence of ZIKV infection is 5 % (Fig. 1). A higher prevalence of ZIKV infection would increase the power.
Plan for data analysis
We will initially follow a case-cohort design. A sub-cohort of 200 women will be randomly selected. We will compute the frequency of ZIKV infection among the sub-cohort (Specific Aim 1). Blood samples for the entire population will be analyzed at a later stage if funds are available, and frequency of ZIKV infection will be computed accordingly. Logistic regression analysis will be used to estimate crude and adjusted ORs and corresponding 95 % Confidence Intervals (CIs) for the association between maternal ZIKV virus infection and microcephaly (Specific Aim 2). Potential confounders (e.g., municipality of residence, educational level) will be entered in the model. If the OR estimate changes by 10 % or more after controlling for a given variable, subsequent OR estimates will be adjusted for that variable. We will perform sub-group analysis by presence or absence of ZIKV symptoms (“Suspected ZIKV”) at or before the first antenatal visit.
We will use STATA v12.0 or higher (StataCorp, College Station, TX) for data analysis.
Our steering committee includes the Principal Investigator, the Co-Principal Investigator from Honduras, and one Co-Investigator from the Data Center. A local coordinating center will be established in Honduras. The IECS in Buenos Aires, Argentina, will act as the study Data Center, thereby providing a specific data monitoring system, assuring maintenance of high quality databases, supervising all data collection procedures, and arranging for the most efficient transfer of study data.
Timeline and tasks
The study will include two months of preparatory activities, an estimated 12 months of enrollment, and 10 months for follow up, laboratory procedures, data analysis, and reporting.
During the preparatory phase (I), we will develop (in Spanish) the Manual of Operations, the Data Management System, and data collection forms and post them on our password-protected website. We will also train the data collection personnel. During the enrollment phase (II), we will enroll women and perform lab analyses, which will continue during the last phase of the study (Phase III). Data collection at birth will continue during Phase III. Data analysis will be conducted during Phase III.
This protocol was designed to be implemented with minimal resources, with blood samples collected as early as possible during pregnancy being stored for future analyses. We are following a modular approach, with the current protocol being the foundation module on which additional future in-depth studies could be added. Potential future modules could include more in-depth data collection during pregnancy and follow-up studies of ZIKV infected mothers and their children.
IECS: Instituto de Efectividad Clínica y Sanitaria; IRB: Institutional Review Board; PRNT: plaque reduction neutralization test; WHO: World Health Organization; ZIKV: Zika Virus; ZIPH: Zika Virus in Pregnancy in Honduras
World Health Organization. Zika virus infection: global update on epidemiology and potentially associated clinical manifestations. Wkly Epidemiol Rec. 2016;91(7):73–81.
World Health Organization. WHO statement on the 2nd meeting of IHR Emergency Committee on Zika virus and observed increase in neurological disorders and neonatal malformations. Geneva, Switzerland: World Healh Organization; 2016. http://who.int/mediacentre/news/statements/2016/2nd-emergency-committee-zika/en/. Accessed 13 July 2016.
Brasil P, Pereira JP, Raja Gabaglia C, Damasceno L, Wakimoto M, Ribeiro Nogueira RM, Carvalho de Sequeira P, Machado Siqueira A, Abreu de Carvalho LM, Cotrim da Cunha D, et al. Zika virus infection in pregnant women in Rio de Janeiro - Preliminary Report. N Engl J Med. 2016, March 4. [Epub ahead of print].
Calvet G, Aguiar RS, Melo AS, Sampaio SA, de Filippis I, Fabri A, Araujo ES, de Sequeira PC, de Mendonça MC, de Oliveira L, et al. Detection and sequencing of Zika virus from amniotic fluid of fetuses with microcephaly in Brazil: a case study. Lancet Infect Dis. 2016;6(6):653–60.
Mlakar J, Korva M, Tul N, Popović M, Poljšak-Prijatelj M, Mraz J, Kolenc M, Resman Rus K, Vesnaver Vipotnik T, Fabjan Vodušek V, et al. Zika virus associated with microcephaly. N Engl J Med. 2016;374(10):951–8.
Tang H, Hammack C, Ogden SC, Wen Z, Qian X, Li Y, Yao B, Shin J, Zhang F, Lee EM, et al. Zika virus infects human cortical neural progenitors and attenuates their growth. Cell Stem Cell. 2016;18(5):587–90.
Cauchemez S, Besnard M, Bompard P, Dub T, Guillemette-Artur P, Eyrolle-Guignot D, Salje H, Van Kerkhove MD, Abadie V, Garel C, et al. Association between Zika virus and microcephaly in French Polynesia, 2013–15: a retrospective study. Lancet. 2016;387(10033):2125–32.
Oduyebo T, Petersen EE, Rasmussen SA, Mead PS, Meaney-Delman D, Renquist CM, Ellington SR, Fischer M, Staples JE, Powers AM, et al. Update: interim guidelines for health care providers caring for pregnant women and women of reproductive age with possible Zika virus exposure - United States, 2016. MMWR Morb Mortal Wkly Rep. 2016;65(5):122–7.
Rasmussen SA, Jamieson DJ, Honein MA, Petersen LR. Zika virus and birth defects-reviewing the evidence for causality. N Engl J Med. 2016;374(20):1981–7.
Secretaría de Salud. Boletin Epidemiologico, May 18, 2016. Tegucigalpa: Republica de Honduras; 2016.
Zambrano LI, Sevilla C, Reyes-García SZ, Sierra M, Kafati R, Rodriguez-Morales AJ, Mattar S. Potential impacts of climate variability on dengue hemorrhagic fever in Honduras, 2010. Trop Biomed. 2012;29(4):499–507.
Capurro H, Konichezky S, Fonseca D, Caldeyro-Barcia R. A simplified method for diagnosis of gestational age in the newborn infant. J Pediatr. 1978;93(1):120–2.
Villar J, Cheikh Ismail L, Victora CG, Ohuma EO, Bertino E, Altman DG, Lambert A, Papageorghiou AT, Carvalho M, Jaffer YA, et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet. 2014;384(9946):857–68.
Victora CG, Schuler-Faccini L, Matijasevich A, Ribeiro E, Pessoa A, Barros FC. Microcephaly in Brazil: how to interpret reported numbers? Lancet. 2016;387(10019):621–4.
Sharp SJ, Poulaliou M, Thompson SG, White IR, Wood AM. A review of published analyses of case-cohort studies and recommendations for future reporting. PLoS One. 2014;9(6):e101176.
World Health Organization. International statistical classification of diseases and related health problems: tenth revision, Volume 2: instruction manual. Geneva, Switzerland: World Health Organization; 1993.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.
We thank A. Meyer for her help in preparing the manuscript.
Zika virus infection in pregnant women in Honduras (ZIPH) Working Group: Pierre Buekens, Jackeline Alger, Fernando Althabe, Eduardo Bergel, Amanda M Berrueta, Carolina Bustillo, Maria Luisa Cafferata, Emily Harville, Jorge Largaespada, Ivette Lorenzana de Rivera, Carlos Matta, Karla Pastrana, Karla Rosales, Dawn Wesson, Concepción Zúniga.
This study is funded by Tulane University. The funding body had no role in the design of the study and in writing the manuscript.
PB, JA, FA, EB, MB, MLC, EH, DW, CZ designed the study. CB, JL, ILR, CM, KP, and KR provided input; JA, CB, JL, CM, KP, KR, CZ organized the study in Honduras. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
The described protocol with informed consent and assent for children between 7 and 17 years old was approved by the Institutional Review Board of Tulane University (reference number 16–893652, approved May 13, 2016) and the ethics committee of the Faculty of Medical Sciences, National Autonomous University of Honduras (UNAH) (reference number 079-2016 , approved June 14, 2016).
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Buekens, P., Alger, J., Althabe, F. et al. Zika virus infection in pregnant women in Honduras: study protocol. Reprod Health 13, 82 (2016). https://0-doi-org.brum.beds.ac.uk/10.1186/s12978-016-0200-6
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