Association of blood pressure with all‐cause mortality and stroke in <scp>J</scp>apanese hemodialysis patients: The <scp>J</scp>apan dialysis outcomes and practice pattern study
Bibliographic record
Abstract
The association of low blood pressure (BP) with high mortality is a characteristic for hemodialysis patients. This analysis clarifies the association of BP with mortality and stroke in Japanese hemodialysis (HD) patients and examines the association separately for patients with and without antihypertensive medication (BP meds). We analyzed 9134 patients from Japan in phases 1-4 (1999-2011) of the Dialysis Outcomes and Practice Patterns Study (DOPPS), a prospective cohort study of in-center HD patients. The association of patient systolic (SBP) and diastolic (DBP) blood pressure with all-cause and cause-specific mortality was assessed using adjusted Cox regression. A U-shaped association between BP and all-cause mortality was observed, with lowest mortality for baseline SBP 140-159 mmHg and DBP 65-74 mmHg. Both SBP and DBP were positively and monotonically associated with stroke-related death: hazard ratio (95% confidence interval) was 1.24 (1.01-1.53) per 20 mmHg higher SBP and 1.23 (1.05-1.44) per 10 mmHg higher DBP. No evidence of interaction was found between SBP and use of BP meds regarding all-cause mortality (P for interaction = 0.97); the association between SBP and stroke-related death was slightly stronger among patients not on BP meds than patients on BP meds (P for interaction = 0.09). In Japanese HD patients, both low and high BP are associated with all-cause mortality. This analysis also documents a positive and monotonic association of BP with stroke-related deaths. Although our analysis indicates that the prescription of BP meds to hypertensive patients might protect against stroke-related death, additional study is warranted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".