S1962 Trends and Disparities in Hepatorenal Syndrome-Related Mortality in the United States From 1999-2020: A Nationwide Analysis
Bibliographic record
Abstract
Introduction: Hepatorenal syndrome (HRS) is a severe complication of advanced liver disease characterized by rapid kidney failure and poor prognosis. This study aims to determine HRS-related mortality trends from 1999 to 2020 among adults in the United States. Methods: Data from the Centers for Disease Control and Prevention’s Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database was retrieved to identify all the fatalities where HRS was listed as an underlying or contributing cause of death. Age-adjusted mortality rates (AAMRs) per 1 million individuals were quantified and temporal mortality trends were evaluated by calculating annual percent changes (APC) in AAMR using the Joinpoint regression model. Results: There was a total of 95,364 HRS-related deaths among adults aged ≥25 years in the US between 1999 and 2020, with a cumulative overall AAMR of 20.01 (Figure 1). The overall AAMR underwent a significant decline from 1999-2008 (APC: -3.6; P< 0.01) and then increased significantly till 2020 (APC: 1.1; P< 0.01). Males had a cumulative AAMR that was twice that of females (27.4 vs 13.4, respectively). AAMRs in both genders declined significantly till 2008; then remained stable in males but underwent a significant rise till 2020 in females. Older adults aged ≥65 years (39.1) had a higher cumulative AAMR than younger adults aged 25-64 years (15.3). Non-Hispanic (NH) American Indians/Alaska Natives (77.4) had substantially higher AAMRs than Hispanics/Latinos (28.2), NH Whites (19.3), NH Blacks/African Americans (18.3), and NH Asians/Pacific Islanders (10.4). AAMRs in all races declined over the study duration except NH American Indians/Alaska Natives, where AAMR has been on a constant rise (APC: 1.8; P< 0.01). Rural areas (24.3) had higher AAMR than urban areas (19.2), while the West region had the highest cumulative AAMR (25.4), followed by the South (19.8), Northeast (17.6), and Midwestern (16.7) regions. Conclusion: HRS-related AAMR has been increasing after an initial decline until 2008, especially in females and NH American Indians/Alaska Natives. The increased mortality observed after 2008 may be attributed to a rise in binge drinking, socioeconomic stressors, and healthcare challenges exacerbated by the economic instability. Further research is needed to pinpoint the exact causes behind increasing mortality and initiate targeted interventions.Figure 1.: Hepatorenal syndrome-related mortality among adults in the United States, 1999-2020.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".