Abstract 4371820: Trends and Disparities in Maternal Hypertensive Disorders Among High-Income Nations from 1990–2021: A Benchmarking Global Analysis
Bibliographic record
Abstract
Background: Maternal hypertensive disorders (MHD), a leading cause of maternal and perinatal morbidity and mortality, remain a critical public health issue even in high-income countries (HIC) with advanced obstetric care. Despite progress in healthcare systems, the evolving trends in MHD burden across HIC remain poorly characterized. Methods: We employed the Global Burden of Disease Study 2021 analytical framework to estimate the burden of MHD across HIC. Case definitions were standardized using ICD-10 codes, and estimates were generated through DisMod-MR 2.1, a Bayesian meta-regression tool. Mortality was modeled using cause-of-death ensemble modeling, while years lived with disability (YLDs) were computed by applying disability weights to prevalence estimates. Temporal trends in age-standardized rates were evaluated using log-linear regression to calculate annual percentage changes (APCs). Results: Between 1990 and 2021, the total number of prevalent cases of maternal hypertensive disorders increased in High-income North America (HINA) from 124,114 (95% UI: 77,999–192,941) to 131,063 (85,937–185,149), in Southern Latin America from 24,774 (15,450–37,690) to 31,021 (20,449–45,050), and in Western Europe from 82,654 (51,187–127,529) to 85,625 (53,336–127,823). Conversely, declines were observed in High-income Asia Pacific (from 31,578 [19,282–48,836] to 18,741 [12,085–27,289]) and Australasia (from 8,037 [5,348–11,685] to 7,408 [4,516–10,924]). The highest annual increase in age-standardized incidence was seen in Germany (0.97%), followed by France (0.86%), Denmark (0.66%), and Israel (0.58%), while the USA exhibited a slight decline (−0.13%). In terms of mortality, Canada was the only high-income country to report an increasing APC (0.19%), whereas all others, including the USA, showed declines, with the USA decreasing by −0.67%. Across all time points, the burden was greatest in women aged 20–29 years, with HINA consistently exhibiting the highest incidence, mortality, and YLDs, despite declining death rates elsewhere and persistently elevated disability burden. Conclusion: Despite declining mortality, MHD remain a persistent challenge in HIC , with rising incidence in parts of Europe and substantial disability burden in HINA. The disproportionate burden among women aged 20–29 years underscores the need for region-specific maternal health strategies focused on early detection, long-term management, and equitable care access.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".