Bibliographic record
Abstract
During the Baby Boom years, United States fertility rates reached a peak at 118.3 births per 1000 women aged 15–44 years old in 1955. They declined and stabilized between 64 and 71 births per 1000 women between the 1970s and 2000s.1 However, since 2007, fertility rates have once again been on the decline, and in 2018, they reached an all-time low at 59.1 births per 1000 women—the lowest rate since these data were first collected in 1940.1,2 In 2018, this decline was noted among mothers of all major racial/ethnic groups, including non-Hispanic whites, non-Hispanic blacks, and Hispanics.2 Of interest is that, although fertility rates among women under age 30 years old have decreased since 2007, fertility rates are actually on the rise among women 30–44 years old, suggesting that some women are entering motherhood at later times than in decades past.1 However, because of impaired fertility in women with advanced kidney disease and difficulty progressing beyond the first trimester, pregnancy remains exceedingly rare and difficult to estimate among women with ESKD. In the earliest registry data from the 1970s, pregnancy incidence was reportedly <1% in this population.3 More recent data from the United States suggest that this rate is higher, with 2.4% of women on hemodialysis and 1.1% of women on peritoneal dialysis becoming pregnant over a 4-year period (1992–1995)4 and as high as 15.9% in a Canadian cohort undergoing intensive nocturnal hemodialysis between 2001 and 2006.5 As the fields of obstetrics and nephrology continue to advance, an updated estimate of pregnancy incidence in the ESKD population is warranted. In this issue of JASN, Shah et al.6 establish that pregnancy rates among United States women on dialysis are higher than previously appreciated and that rates vary significantly by race/ethnicity. Additionally, they describe the clinical and sociodemographic characteristics associated with successful pregnancy among these women and investigated their relation to live births. Shah et al.6 performed the first retrospective query of the US Renal Data System (USRDS) to identify women aged 15–44 years old who became pregnant between 2005 and 2013 while receiving dialysis with Medicare as their primary payer. Among the 47,555 women included in their final analysis, 2352 pregnancies were documented among 2008 women. Combining data from the USRDS with Medicare Part A and B claims allowed for a more vivid characterization of these women beyond standard sociodemographic features, an aspect lacking in earlier publications on pregnancy rates; these included presence of predialysis nephrology care, incident and prevalent dialysis modality, dialysis vintage, neighborhood poverty level, and neighborhood rurality. Shah et al.6 found that pregnancy rates were lowest among women with ESKD due to diabetes and highest among women aged 20–24 years old on dialysis for <1 year and with hemodialysis as the incident and prevalent modality. Racial/ethnic minorities experienced higher pregnancy rates than white women on dialysis, with Native Americans experiencing the highest pregnancy rates. Whereas women residing in a metropolitan area were more likely to become pregnant than those in micropolitan or rural areas, neighborhood poverty level did not affect this likelihood. This study has many strengths, one being methodologic rigor. The published pregnancy rates by Shah et al.6 incorporate time-updated variables when possible, including dialysis modality and duration, as well as neighborhood socioeconomic status and rurality. Because of varying age distributions for crude pregnancy rates among the five racial/ethnic categories, age adjustment was performed by directly standardizing to the United States female population from the 2000 census. After adjusting for age, the pregnancy rates increased across all races/ethnicities, suggesting that women becoming pregnant on dialysis were older than those in the general population. Results were unchanged in sensitivity analyses in which transplantation was treated as a competing risk. Given that the majority of patients with ESKD in the United States have Medicare as their primary payer (59% in 2015),7 this study represents a more comprehensive evaluation of pregnancy rates compared with previous reports that relied on single-center studies, surveys, and voluntary registry data.3,4,8,9 The most desirable outcome after pregnancy is a live and healthy birth. As such, Shah et al.6 present maternal and fetal outcomes and factors associated with live births in their supplemental tables. Unfortunately, readers are left with many unanswered questions. Of the 2352 identified pregnancies, 27.1% resulted in a live birth, 29.4% resulted in spontaneous abortion, and a considerable 31% of outcomes were unknown. In adjusted models, the likelihood of live birth was not affected by age, race/ethnicity, cause of ESKD, dialysis modality, or neighborhood poverty. Only living in a rural community compared with living in a metropolitan area was associated with a higher likelihood of live birth. However, these results must be interpreted cautiously given the large amount of missing data in Medicare claims. Despite its analytic strengths, the study by Shah et al.6 was not able to capture various aspects relevant to the care and outcomes of pregnant women on dialysis that could guide future clinical practice, including: the number of women started on dialysis pre-emptively on finding out they were pregnant, presence of residual kidney function, the intensity of dialysis treatment during pregnancy (i.e., mean hours per week of hemodialysis or mean weekly Kt/V for peritoneal dialysis), the gestational age at delivery among women experiencing live births, and the birth weight of delivered infants. Also of note, maternal outcomes analyzed were limited to frequency of cesarean section, which was 35.4%. Rates of preeclampsia or maternal death were not captured. The findings of this study are notable and alert clinicians caring for women of childbearing age on dialysis to the fact that pregnancy rates are not only higher today than in decades past, but that pregnancy is more likely to occur in young women recently started on hemodialysis, and those who are from a racial/ethnic minority group. This report highlights the importance of better understanding the risks and benefits of pre-emptive dialysis initiation in women with advanced CKD who become pregnant and underscores a potential need to intensify hemodialysis in pregnant women with ESKD, perhaps to be more in line with Canadian practices given their superior maternal and fetal outcomes.10 Disclosures None. Funding Dr. Crews was supported, in part, by grant K24 HL148181 from the National Heart, Lung and Blood Institute and Dr. Toth-Manikowski was supported, in part, by grant 3R01DK072231-13S1 from the National Institute of Diabetes and Digestive and Kidney Diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".