Pregnancy: GBD 2019

Abbreviations

Abbreviation

Definition

Note

ASFR

Age-specific fertility rate

SBR

Stillbirth to live birth ratio

LBWSG

Low birthweight and short gestation

Overview

GBD Modeling Strategy

Pregnancy and births are not explicit outcomes in the GBD study. However, there are location- and year-specfic GBD covariates related to fertility and births, including:

Covariates

Covariate name

Covariate ID

Note

Live births (thousands)

60

Live births by sex

1106

Live births by sex and maternal age

2298

Stillbirth to live birth ratio

2267

Not specific to maternal age. Upper and lower bound estimates are equal to mean estimate (no uncertainty interval)

Age-specific fertility rate

13

Total fertility rate

2363

GBD has estimated the prevalence of pregnancy (as an intermediate variable for the estimation of various outcomes) as:

\[(ASFR + (SBR * ASFR)) * 46/52\]

Where \(ASFR\) is the age-specific fertility rate, \(SBR\) is the stillbirth to live birth ratio, and \(46/52\) is the proportion of the year spent pregnant (40 weeks) and postpartum (6 weeks) [GBD-2019-Risk-Factors-Appendix-pregnancy].

Todo

Determine the threshold of gestational age at which a loss of pregnancy is classified as a stillbirth rather than miscarriage for the GBD covariate. Standard thresholds are 20 or 24 weeks.

Vivarium Modeling Strategy

We will model pregnancy as a characteristic of women of reproductive age in our simulations. We will inform the incidence of pregnancy using the age-specific fertility and stillbirth to live birth ratio covariates from GBD. We will inform the duration of pregnancy using the GBD 2019 exposure distribution of gestational age.

../../../../_images/diagram.svg
State definitions

State

Description

Note

np

Not pregnant or postpartum

p

Pregnant

md

Maternal disorders

Simulated state that lasts for single timestep in order to accrue maternal disorders YLDs - not representative of biological state. Can be with (md_w) or without (md_wo) maternal disorders while within this state according to the maternal disorders cause model document. Referred to as “prepostpartum” state in software implementation.

pp

Postpartum

Note

The duration of the maternal disorders state for the IV iron simulation was set to one week. This parameter is currently a barrier to extending the maternal IV iron simulation timestep from 1 to 2 weeks.

State prevalence table

State

Value

Note

np

1 - prevalence_p - prevalence_pp

If using a burn-in strategy, initialize all simulants to np state

p

(ASFR + ASFR * SBR) * 40 / 52 + (incidence_c995 + incidence_c374) * 24 /52`

Consider updating to reflect average gestational age for location of interest rather than 40 weeks (Ali will need to perform weighting calculation from LBWSG exposure distributions)

pp

(ASFR + ASFR * SBR + incidence_c995 + incidence_c374) * duration_pp / 52

md_w

(ASFR + ASFR * SBR + incidence_c995 + incidence_c374) * duration_md / 52 * incident_maternal_disorders_ratio

incident_maternal_disorders_ratio defined on the maternal disorders cause model document

md_wo

(ASFR + ASFR * SBR + incidence_c995 + incidence_c374) * duration_md / 52 * (1-incident_maternal_disorders_ratio)

incident_maternal_disorders_ratio defined on the maternal disorders cause model document

State transition data

Source state

Sink state

Transition name

Transition rate

Note

np

p

incidence_p

\(\frac{ASFR + ASFR * SBR + incidence_\text{c995} + incidence_\text{c374}}{prevalence_\text{np}}\)

p

md

duration_p

Duration informed by gestational age (see below section)

Duration-based transition

md

pp

duration_md

1 timestep

Duration-based transition

pp

np

duration_pp

6 weeks (42 days) - duration_md

Duration-based transition

Data values

Parameter

Data type

Data ID

Source

Note

ASFR

Covariate

13

get_covariate_estimates: decomp_step=’step4’ or ‘iterative’ for GBD 2019, ‘step3’ or ‘iterative’ for GBD 2020

Assume lognormal distribution of uncertainty. Regional-level estimates available. Age-shifting based on assumption of 40 week duration of pregnancy for live births.

SBR

Covariate

2267

get_covariate_estimates: decomp_step=’step4’ or ‘iterative’ for GBD 2019, ‘step3’ or ‘iterative’ for GBD 2020

No uncertainty in this estimate: use mean_value as point value for this parameter. Regional-level estimates not available. Age-shifting based on assumption of 40 week duration of preganncy for stillbirths.

incidence_c995

Incidence rate of abortion and miscarriage cause

c995

como; decomp_step=’step5’

Abortion defined as elective or medically-indicated termination of pregnancy at any gestational age and miscarriage defined as spontaneous loss of pregnancy before 24 weeks gestation. Age shifting based on assumption of average pregnancy duration of abortion/miscarriage of 15 weeks, given an assumed uniform distribution between six and 24 weeks for this birth outcome.

incidence_c374

Incidence rate of ectopic pregnancy

c374

como; decomp_step=’step5’

Age shifting based on assumption of average pregnancy duration of abortion/miscarriage of 15 weeks, given an assumed uniform distribution between six and 24 weeks for this birth outcome.

Note

AGE SHIFTING: The incidence rates in the table above are measured at the end of pregnancy. However, we will use them to inform the rates of the beginning of pregnancy. In order to avoid causing pregnancies to end at older ages than they should in our simulation, we will implement a custom “pregnancy age” in our vivarium simulation that is equal to a simulant’s actual age minus the average duration of pregnancy. This “pregnancy age” should be used to index which pregnancy incidence rate (incidence_p) value the simulant is subject to at any given time.

The average duration of pregnancy (pregnancy age shift) was calculated assuming that live and still births have a duration of 40 weeks and that ectopic pregnancies and miscarriages/abortions have an average duration of 15 weeks (the midpoint between 6 weeks (assumed minimum duration of an identified pregnancy) and 24 weeks (cutoff between miscarriage and stillbirth)) and according to the location-specific distribution of birth outcomes. These values were calculated in this notebook.

Location-specific values by draw for this parameter for the IV iron simulation locations are available in a .csv file here.

Restrictions

Restriction Type

Value

Notes

Male only

False

Female only

True

Age group start

10 to 14 years

ID=7

Age group end

50 to 54 years

ID=15

Note

Pregnancy modeling steps:

At initialization:

  1. Assign pregnancy state according to state prevalence values

  2. Assign partial or full term duration according to table in Pregnancy term lengths section

  3. Assign sex of infant if pregnancy outcome is a stillbirth or live birth

  4. Assign duration of pregnancy depending on pregnancy outcome and sex of the infant

  5. Determine the amount of time remaining in pregnancy from the duration of pregnancy

  6. Begin simulation

During simulation:

  • Determine pregnancy model state according to state at initialization and state transition rates.

  • Upon transition from the np to p state, follow steps 2-4 described above.

  • Upon birth (transition out of p state), assign pregnancy outcome

    • other for partial duration pregnancies

    • live_birth or stillbirth for full duration pregnancies, according to table in Pregnancy outcomes section

(Specific instructions for each of these steps described in the following sections.)

Pregnancy term lengths

At the beginning of pregnancy, it should be determined whether the pregnancy will be partial term or full term according to the probabilities in the table below.

Pregnancy term lengths probabilities

Term length

Probability

Note

Partial term

(incidence_c995 + incidence_c374) / (ASFR + ASFR * SBR + incidence_c995 + incidence_c374)

Full term

1 - probability_partial_term

Sex of infant

For pregnancies that result in live birth or stillbirth outcomes, infant sex should be determined and recorded acording to the probability of male sex shown in the table below (probability of female birth is equal to 1 minus the probability of male birth). This should be performed at the start of pregnancy (transition from np to p states) or upon initialization into the p state. These sex ratios were calculated using the live births by sex 2020 GBD covariate (ID 1106), shown here.

Probability of male birth

Location

Location ID

Value

South Asia

159

0.522171

Sub-Saharan Africa

166

0.509677

World bank lower middle income

44577

0.513906

World bank low income

44578

0.512684

India

163

Nigeria

214

Ethiopia

179

Duration of pregnancy

A duration of pregnancy value will need to be assigned to all pregnancies regardless of the pregnancy outcome. This value will inform the duration that the simulant remains in the pregnancy state prior to transitioning to the postpartum state.

For partial term pregnancies (that result in abortion/miscarriage/ectopic pregnancy), assign a duration of pregnancy sampled from a uniform distribution beween 6 and 24 weeks (individual heterogeneity with no parameter uncertainty).

For full term pregnancies (that result in live births or stillbirths), duration of pregnancy should be determined by gestational age exposure, which should be assigned according to the process for assigning LBWSG exposures described in the risk correlation document between maternal BMI, maternal hemoglobin, and infant LBWSG exposure. The LBWSG exposure distribution used to assign gestational age exposures should be specific to the sex of the infant for a given pregnancy (discussed in the above section). Note that the gestational age distribution is measured in weeks and will need to be converted to the equivalent simulation time measure.

For simulants who are initialized into the pregnancy state at the start of the simulation:

Assign the simulant a duration of pregnancy/gestational age value and then sample a random value from a uniform distribution between zero and the assigned gestational age value. The randomly sampled value will represent the current gestational duration of that pregnancy. The simulant should remain in the pregnancy state prior to transitioning to the postpartum state for the duration equal to the assigned gestational age value minus the randomly sampled value.

Pregnancy outcomes

At the time of birth, pregnancy outcome must be determined for each pregnancy as either a 1) live birth, 2) stillbirth, or 3) other (ectopic pregnancy, abortion/miscarriage). The probability of each pregnancy outcome dependent on the pregnancy term length and probabilities of each outcome conditional on pregnancy term are defined in the table below.

Pregnancy outcome probabilities conditional on pregnancy term length

Pregnancy term length

Outcome

Conditional probability

Note

Partial term

Live birth

0

Partial term

Stillbirth

0

Partial term

Other (abortion, miscarriage, ectopic pregnancy)

1

Full term

Live birth

ASFR / (ASFR + ASFR * SBR)

This outcome will be used to inform the demography model of children under 5 for the IV iron simulation. The probability of a livebirth outcome is modified by the hemoglobin risk factor.

Full term

Stillbirth

(ASFR * SBR) / (ASFR + ASFR * SBR)

The probability of a stillbirth outcome is modified by the hemoglobin risk factor.

Full term

Other (abortion, miscarriage, ectopic pregnancy)

0

Note

The current modeling strategy is dependent on our assumption that live births and stillbirths have the same duration. There is ongoing work at IHME to estimate gestational age at birth distributions among stillbirths. If we were to incorporate this new data, we would need to devise a new modeling strategy that would allow for more flexibility in assigning pregnancy duration and pregnancy outcome, allowing both to vary by late-term hemoglobin concentration.

Assumptions and limitations

  • We assume that the gestational age distribution of stillbirths is equal to the gestational age distribution of live births. This is a limitation of our analysis given the lack of data on the distribution of gestational ages for which these outcomes occur. Given that the gestation for these outcomes is likely shorter than gestation for live births on average, we are likely overestimating the average duration of pregnancy for outcomes other than live births.

  • We assume that all abortions, miscarriages and ectopic pregnancies occur uniformly between six and 24 weeks gestatation. Six weeks was chosen as a reasonable earliest possible time of pregnancy detection (prior to which miscarriages would be undiagnosed) and 24 weeks was chosen as the threshold between miscarriage and stillbirth.

  • We assume that abortions that occur after 24 weeks are not considered stillbirths for estimation of the stillbirth to livebirth ratio. We may overestimate the incidence rate of pregnancy due to this assumption.

  • We are limited in the assumption that the stillbirth to livebirth ratio does not vary by maternal age and does not incorporate an uncertainty distribution.

  • We do not model any morbidity (YLDs) associated directly with pregnancy.

  • We do not distiguish between intended and unintended pregnancies.

  • We do not consider the impact of birth interval timing or family size in our model of pregnancy.

  • We assume that a new pregnancy cannot occur during the postpartum period but can occur immediately afterward. We do not model any difference in the fertility rate by recent pregnancy status.

  • We do not consider the impact of singleton versus non-singleton pregnancies.

  • We are limited in that we apply the age-specific fertility rate to the beginning of pregnancy when it is actually measured at the end of pregnancy (birth). Therefore, maternal age at birth in our simulation will be overestimated due to simulants becoming pregnant in one age group and giving birth in the next.

Verification and validation criteria

Person-time spent in each pregnancy state should approximate to the values in the state prevalence table.

The number of transitions into the pregnancy state should validate to the values in the state transition data table at the age-specific level. Across all ages, it should validate to the total fertility rate covariate (ID=1106). Additionally, when scaled to the total population and adjusted for the SBR, the number should approximate the live birth covariate (ID=60).

References

[GBD-2019-Risk-Factors-Appendix-pregnancy]

Supplementary appendix 1 to the GBD 2019 Risk Factors Capstone:

(GBD 2019 Risk Factors Capstone) GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396: 1223–49. DOI: https://doi.org/10.1016/S0140-6736(20)30752-2