|
| 1 | +.. _2023_cause_antepartum_hemorrhage_mncnh: |
| 2 | + |
| 3 | +===================== |
| 4 | +Antepartum hemorrhage |
| 5 | +===================== |
| 6 | + |
| 7 | +Disease Overview |
| 8 | +---------------- |
| 9 | + |
| 10 | +GBD 2023 Modeling Strategy |
| 11 | +-------------------------- |
| 12 | + |
| 13 | +Cause Hierarchy |
| 14 | ++++++++++++++++ |
| 15 | + |
| 16 | +Antepartum hemorrhage does not appear in the GBD cause hierarchy. |
| 17 | +It is a *subset* of maternal hemorrhage (c_367), which is a most detailed cause in GBD 2023. The relevant portion of the GBD hierarchy is as follows: |
| 18 | + |
| 19 | +- All causes (c_294) [level 0] |
| 20 | + |
| 21 | + - Communicable, maternal, neonatal, and nutritional diseases (c_295) |
| 22 | + |
| 23 | + - Maternal disorders and neonatal disorders (c_962) |
| 24 | + |
| 25 | + - Maternal disorders (c_366) |
| 26 | + |
| 27 | + - Maternal hemorrhage (c_367) |
| 28 | + |
| 29 | + - Maternal hemorrhage with less than 1 liter blood loss (s_180) |
| 30 | + |
| 31 | + - Maternal hemorrhage with greater than 1 liter blood loss (s_181) |
| 32 | + |
| 33 | + - Mild anemia due to maternal hemorrhage (s_182) |
| 34 | + |
| 35 | + - Moderate anemia due to maternal hemorrhage (s_183) |
| 36 | + |
| 37 | + - Severe anemia due to maternal hemorrhage (s_184) |
| 38 | + |
| 39 | +*Maternal hemorrhage (c_367)* is a most detailed cause, at level 4 of the GBD hierarchy. |
| 40 | +It has five sequelae, detailed in the following table: |
| 41 | + |
| 42 | +.. list-table:: Sequelae of maternal hemorrhage |
| 43 | + :header-rows: 1 |
| 44 | + :widths: 2 1 5 5 |
| 45 | + |
| 46 | + * - Sequela |
| 47 | + - GBD ID |
| 48 | + - Health state and disability weight |
| 49 | + - Notes |
| 50 | + * - Maternal hemorrhage with less than 1 liter blood loss |
| 51 | + - s_180 |
| 52 | + - abdominopelvic problem, moderate |
| 53 | + |
| 54 | + DW: 0.114 (0.078–0.159) |
| 55 | + - |
| 56 | + * - Maternal hemorrhage with greater than 1 liter blood loss |
| 57 | + - s_181 |
| 58 | + - abdominopelvic problem, severe |
| 59 | + |
| 60 | + DW: 0.324 (0.22–0.442) |
| 61 | + - |
| 62 | + * - Mild anaemia due to maternal haemorrhage |
| 63 | + - s_182 |
| 64 | + - anaemia, mild |
| 65 | + |
| 66 | + DW: 0.004 (0.001–0.008) |
| 67 | + - |
| 68 | + * - Moderate anaemia due to maternal haemorrhage |
| 69 | + - s_183 |
| 70 | + - anaemia, moderate |
| 71 | + |
| 72 | + DW: 0.052 (0.034–0.076) |
| 73 | + - |
| 74 | + * - Severe anaemia due to maternal haemorrhage |
| 75 | + - s_184 |
| 76 | + - anaemia, severe |
| 77 | + |
| 78 | + DW: 0.149 (0.101–0.209) |
| 79 | + - |
| 80 | + |
| 81 | +Restrictions |
| 82 | +++++++++++++ |
| 83 | + |
| 84 | +The following table describes any restrictions in GBD 2023 on the |
| 85 | +effects of this cause (such as being only fatal or only nonfatal), as |
| 86 | +well as restrictions on the ages and sexes to which the cause applies. |
| 87 | + |
| 88 | +.. list-table:: GBD 2023 Cause Restrictions |
| 89 | + :widths: 15 15 20 |
| 90 | + :header-rows: 1 |
| 91 | + |
| 92 | + * - Restriction Type |
| 93 | + - Value |
| 94 | + - Notes |
| 95 | + * - Male only |
| 96 | + - False |
| 97 | + - |
| 98 | + * - Female only |
| 99 | + - True |
| 100 | + - |
| 101 | + * - YLL only |
| 102 | + - False |
| 103 | + - |
| 104 | + * - YLD only |
| 105 | + - False |
| 106 | + - |
| 107 | + * - YLL age group start |
| 108 | + - 10 to 14 (ID=7) |
| 109 | + - |
| 110 | + * - YLL age group end |
| 111 | + - 50 to 54 (ID=15) |
| 112 | + - |
| 113 | + * - YLD age group start |
| 114 | + - 10 to 14 (ID=7) |
| 115 | + - |
| 116 | + * - YLD age group end |
| 117 | + - 50 to 54 (ID=15) |
| 118 | + - |
| 119 | + |
| 120 | +Vivarium Modeling Strategy |
| 121 | +-------------------------- |
| 122 | + |
| 123 | +Scope |
| 124 | ++++++ |
| 125 | + |
| 126 | +The goal of the antepartum hemorrhage model is to capture YLLs and YLDs due to |
| 127 | +antepartum hemorrhage among pregnant people. |
| 128 | +This page documents how to model the baseline burden of antepartum |
| 129 | +hemorrhage. |
| 130 | +Hemoglobin after the later ANC visit will affect the rates of antepartum hemorrhage; |
| 131 | +such effects are described on the relevant risk effects model page. |
| 132 | + |
| 133 | +Summary of modeling strategy |
| 134 | +++++++++++++++++++++++++++++ |
| 135 | + |
| 136 | +We will not model antepartum hemorrhage as a state machine, but as a one-time decision. |
| 137 | +We will choose whether the pregnant person has antepartum hemorrhage at *some* time between the later ANC visit (if there is one) and the end of pregnancy. |
| 138 | +To obtain the decision probabilities, |
| 139 | +we will convert GBD's annual rates |
| 140 | +among females of reproductive age into conditional event rates. |
| 141 | +We will track antepartum hemorrhage |
| 142 | +deaths to calculate YLLs, and we will track incident cases by severity to calculate |
| 143 | +YLDs. |
| 144 | + |
| 145 | +Cause Model Diagram |
| 146 | ++++++++++++++++++++ |
| 147 | + |
| 148 | +Although we're not modeling antepartum hemorrhage dynamically as a finite state |
| 149 | +machine, we can draw an analogous directed graph that can be interpreted |
| 150 | +as a (collapsed) decision tree rather than a state transition diagram. |
| 151 | +The main difference is that the values on the transition arrows |
| 152 | +represent decision probabilities rather than rates per unit time. |
| 153 | + |
| 154 | +.. graphviz:: |
| 155 | + |
| 156 | + digraph hemorrhage_decisions { |
| 157 | + rankdir = LR; |
| 158 | + start [label="start"] |
| 159 | + end [label="end"] |
| 160 | + alive [label="parent did not die of hemorrhage"] |
| 161 | + dead [label="parent died of hemorrhage"] |
| 162 | + |
| 163 | + start -> alive [label = "1 - ir"] |
| 164 | + start -> hemorrhage [label = "ir"] |
| 165 | + hemorrhage -> moderate [label = "1 - severe_fraction"] |
| 166 | + hemorrhage -> severe [label = "severe_fraction"] |
| 167 | + severe -> alive [label = "1 - cfr"] |
| 168 | + severe -> dead [label = "cfr"] |
| 169 | + moderate -> alive [label = "1"] |
| 170 | + alive -> end [label = "1"] |
| 171 | + dead -> end [label = "1"] |
| 172 | + } |
| 173 | + |
| 174 | +.. list-table:: State Definitions |
| 175 | + :widths: 7 20 |
| 176 | + :header-rows: 1 |
| 177 | + |
| 178 | + * - State |
| 179 | + - Definition |
| 180 | + * - start |
| 181 | + - |
| 182 | + * - hemorrhage |
| 183 | + - Parent simulant has antepartum hemorrhage |
| 184 | + * - moderate |
| 185 | + - Parent simulant has moderate antepartum hemorrhage (i.e., blood loss greater than 500 mL but less than 1 liter) |
| 186 | + * - severe |
| 187 | + - Parent simulant has severe antepartum hemorrhage (i.e., blood loss 1 liter or more) |
| 188 | + * - parent did not die of antepartum hemorrhage |
| 189 | + - Parent simulant did not die of antepartum hemorrhage |
| 190 | + * - parent died of antepartum hemorrhage |
| 191 | + - Parent simulant died of antepartum hemorrhage |
| 192 | + * - end |
| 193 | + - |
| 194 | + |
| 195 | +.. list-table:: Transition Probability Definitions |
| 196 | + :widths: 1 5 20 |
| 197 | + :header-rows: 1 |
| 198 | + |
| 199 | + * - Symbol |
| 200 | + - Name |
| 201 | + - Definition |
| 202 | + * - ir |
| 203 | + - incidence risk |
| 204 | + - The probability that a pregnant simulant gets antepartum hemorrhage |
| 205 | + * - severe_fraction |
| 206 | + - severe fraction |
| 207 | + - The probability that a simulant with antepartum hemorrhage has severe antepartum hemorrhage (i.e., blood loss of 1 liter or more) |
| 208 | + * - cfr |
| 209 | + - case fatality rate |
| 210 | + - The probability that a simulant with severe antepartum hemorrhage dies of that hemorrhage |
| 211 | + |
| 212 | +Probabilities |
| 213 | ++++++++++++++ |
| 214 | + |
| 215 | +The antepartum hemorrhage cause model requires three probabilities, the |
| 216 | +incidence risk (ir) per pregnancy, the severe fraction (severe_fraction), and the case fatality rate (cfr), for use |
| 217 | +in the decision graph. The incidence risk per pregnancy will be computed as |
| 218 | + |
| 219 | +.. math:: |
| 220 | +
|
| 221 | + \text{ir} = \frac{\text{hemorrhage cases}}{\text{pregnancies}} |
| 222 | + = \frac{\text{(hemorrhage cases) / person-time}} |
| 223 | + {\text{pregnancies / person-time}} |
| 224 | + = \frac{\text{hemorrhage incidence rate}}{\text{pregnancy rate}}. |
| 225 | +
|
| 226 | +The severe fraction will be computed as |
| 227 | + |
| 228 | +.. math:: |
| 229 | +
|
| 230 | + \text{severe_fraction} = \frac{\text{incidence_s181}}{\text{incidence_s181} + \text{incidence_s180}}. |
| 231 | +
|
| 232 | +The case fatality rate will be computed as |
| 233 | + |
| 234 | +.. math:: |
| 235 | +
|
| 236 | + \begin{align*} |
| 237 | + \text{cfr} &= \frac{\text{hemorrhage deaths}}{\text{hemorrhage cases}} \\\\ |
| 238 | + &= \frac{\text{(hemorrhage deaths) / person-time}} |
| 239 | + {\text{(hemorrhage cases) / person-time}} |
| 240 | + = \frac{\text{hemorrhage cause specific mortality rate}} |
| 241 | + {\text{hemorrhage incidence rate}}. |
| 242 | + \end{align*} |
| 243 | +
|
| 244 | +Calculating years lived with disability |
| 245 | ++++++++++++++++++++++++++++++++++++++++ |
| 246 | + |
| 247 | +We apply the YLDs per case for the corresponding severity level to each incident case to calculate YLDs. |
| 248 | + |
| 249 | +.. math:: |
| 250 | +
|
| 251 | + \text{ylds_per_case_severe} = \frac{\text{yld_rate_s181}}{\text{incidence_s181}} |
| 252 | +
|
| 253 | +.. math:: |
| 254 | + |
| 255 | + \text{ylds_per_case_moderate} = \frac{\text{yld_rate_s180}}{\text{incidence_s180}} |
| 256 | +
|
| 257 | +Note that we do *not* include YLDs for mild, moderate, or severe anemia due to antepartum hemorrhage (s_182, s_183, s_184) in our calculations because these |
| 258 | +sequelae are already counted under the anemia cause model, and we want to avoid double counting. |
| 259 | + |
| 260 | +Data table |
| 261 | +++++++++++ |
| 262 | + |
| 263 | +The following table shows the data needed from GBD for these |
| 264 | +calculations. |
| 265 | + |
| 266 | +.. note:: |
| 267 | + |
| 268 | + All quantities pulled from GBD in the following table are for a |
| 269 | + specific year, sex, age group, and location unless otherwise noted |
| 270 | + (e.g., SBR). Our simulation only includes pregnant women of |
| 271 | + reproductive age, so the sex will always be female. However, even |
| 272 | + though all of our simulants will be pregnant, we still pull each |
| 273 | + quantity for *all* females in a given year, age group, and location, |
| 274 | + because this is the default behavior of GBD. Since we are using the |
| 275 | + same total population in all the denominators, the person-time will |
| 276 | + cancel out in the above calculations to give us the probabilities we |
| 277 | + want. |
| 278 | + |
| 279 | +.. list-table:: Data values and sources |
| 280 | + :header-rows: 1 |
| 281 | + |
| 282 | + * - Variable |
| 283 | + - Definition |
| 284 | + - Value or source |
| 285 | + - Note |
| 286 | + * - postpartum_fraction |
| 287 | + - fraction of maternal hemorrhage cases that are postpartum |
| 288 | + - 0.507 |
| 289 | + - GBD 2023 crosswalk intercept of -0.68, exponentiated |
| 290 | + * - ir |
| 291 | + - antepartum hemorrhage incidence risk per pregnancy |
| 292 | + - (1 - postpartum_fraction) * incidence_c367 / pregnancy_rate |
| 293 | + - The value of ir is a probabiity in [0,1]. Denominator includes |
| 294 | + all pregnancies. |
| 295 | + * - incidence_c367 |
| 296 | + - incidence rate of maternal hemorrhage |
| 297 | + - como |
| 298 | + - Use the :ref:`total population incidence rate <total population |
| 299 | + incidence rate>` directly from GBD and do not rescale this |
| 300 | + parameter to susceptible-population incidence rate using |
| 301 | + condition prevalence. Total population person-time is used in |
| 302 | + the denominator in order to cancel out with the person-time in |
| 303 | + the denominators of birth_rate and csmr_c367. |
| 304 | + * - incidence_s181 |
| 305 | + - incidence rate of severe maternal hemorrhage |
| 306 | + - como |
| 307 | + - |
| 308 | + * - incidence_s180 |
| 309 | + - incidence rate of moderate maternal hemorrhage |
| 310 | + - como |
| 311 | + - |
| 312 | + * - csmr_c367 |
| 313 | + - maternal hemorrhage cause-specific mortality rate |
| 314 | + - deaths_c367 / population |
| 315 | + - Note that deaths / (average population for year) = deaths / person-time |
| 316 | + * - deaths_c367 |
| 317 | + - count of deaths due to maternal hemorrhage |
| 318 | + - codcorrect |
| 319 | + - |
| 320 | + * - population |
| 321 | + - average population in a given year |
| 322 | + - get_population |
| 323 | + - Specific to age/sex/location/year demographic group. Numerically |
| 324 | + equal to person-time for the year. |
| 325 | + * - pregnancy_rate |
| 326 | + - pregnancy rate |
| 327 | + - (1 + SBR) * ASFR + incidence_c995 + incidence_c374 |
| 328 | + - Units are total pregnancies per person-year |
| 329 | + * - ASFR |
| 330 | + - Age-specific fertility rate |
| 331 | + - get_covariate_estimates: coviarate_id=13 |
| 332 | + - Assume lognormal distribution of uncertainty. Units in GBD are |
| 333 | + live births per person, or equivalently, per person-year. |
| 334 | + * - SBR |
| 335 | + - Stillbirth to live birth ratio |
| 336 | + - get_covariate_estimates: covariate_id=2267 |
| 337 | + - Parameter is not age specific and has no draw-level uncertainty. |
| 338 | + Use mean_value as location-specific point parameter. |
| 339 | + * - incidence_c995 |
| 340 | + - Incidence rate per person-year of abortion and miscarriage |
| 341 | + - como |
| 342 | + - |
| 343 | + * - incidence_c374 |
| 344 | + - Incidence rate per person-year of ectopic pregnancy |
| 345 | + - como |
| 346 | + - |
| 347 | + * - yld_rate_s180 |
| 348 | + - YLD rate per person-year due to moderate maternal hemorrhage |
| 349 | + - como |
| 350 | + - |
| 351 | + * - yld_rate_s181 |
| 352 | + - YLD rate per person-year due to severe maternal hemorrhage |
| 353 | + - como |
| 354 | + - |
| 355 | + |
| 356 | +.. todo:: |
| 357 | + Get data from the GBD team to more precisely define the postpartum_fraction parameter and include uncertainty. |
| 358 | + |
| 359 | +Validation Criteria |
| 360 | ++++++++++++++++++++ |
| 361 | + |
| 362 | +Limitations |
| 363 | +----------- |
| 364 | + |
| 365 | +* Because we use the severity split and mortality rate of maternal hemorrhage overall, we are assuming that these are the same for postpartum hemorrhage as for antepartum hemorrhage. |
| 366 | + In reality, postpartum hemorrhage is likely to be more severe. |
| 367 | +* We assume that the impact of antepartum hemorrhage on hemoglobin is the same as the impact of postpartum hemorrhage on hemoglobin, which is likely not true. |
| 368 | + We suspect that APH would have a smaller impact on average; however, the MarketScan data the GBD effect is calculated from are |
| 369 | + from PPH in the US, so may already be capturing a smaller average impact than we would expect from PPH in a lower-resource setting. |
| 370 | +* We assume that all antepartum hemorrhage fatalities occur among those with severe antepartum hemorrhage, which may not be the case in reality. |
| 371 | +* We assume that postpartum hemorrhage is uncorrelated with antepartum hemorrhage, except for the causal effect through hemoglobin. In reality, there may be both confounding and a direct causal effect. |
| 372 | +* We assume that when a simulant has both antepartum hemorrhage and a later ANC visit, the ANC visit occurs before the onset of antepartum hemorrhage. |
| 373 | + Antepartum hemorrhage typically occurs late in pregnancy, so this would often be the case. |
| 374 | + Also, in real life, antepartum hemorrhage may lead directly to delivery, even if the fetus is premature, |
| 375 | + so we don't think there are likely to be many cases of ANC visits occurring after the onset of antepartum hemorrhage. |
| 376 | +* We assume that antepartum hemorrhage is uncorrelated with the length of pregnancy and the probability of stillbirth (except through hemoglobin), |
| 377 | + which is likely not true. |
| 378 | + |
| 379 | +References |
| 380 | +---------- |
0 commit comments