Chronic Dialysis and Death Among Survivors of Acute Kidney Injury Requiring Dialysis
Bibliographic record
Abstract
CONTEXT: Severe acute kidney injury among hospitalized patients often necessitates initiation of short-term dialysis. Little is known about the long-term outcome of those who survive to hospital discharge. OBJECTIVE: To assess the risk of chronic dialysis and all-cause mortality in individuals who experience an episode of acute kidney injury requiring dialysis. DESIGN, SETTING, AND PARTICIPANTS: We conducted a population-based cohort study of all adult patients in Ontario, Canada, with acute kidney injury who required in-hospital dialysis and survived free of dialysis for at least 30 days after discharge between July 1, 1996, and December 31, 2006. These individuals were matched with patients without acute kidney injury or dialysis during their index hospitalization. Matching was by age plus or minus 5 years, sex, history of chronic kidney disease, receipt of mechanical ventilation during the index hospitalization, and a propensity score for developing acute kidney injury requiring dialysis. Patients were followed up until March 31, 2007. MAIN OUTCOME MEASURES: The primary end point was the need for chronic dialysis and the secondary outcome was all-cause mortality. RESULTS: We identified 3769 adults with acute kidney injury requiring in-hospital dialysis and 13 598 matched controls. The mean age was 62 years and median follow-up was 3 years. The incidence rate of chronic dialysis was 2.63 per 100 person-years among individuals with acute kidney injury requiring dialysis, and 0.91 per 100 person-years among control participants (adjusted hazard ratio, 3.23; 95% confidence interval, 2.70-3.86). All-cause mortality rates were 10.10 and 10.85 per 100 person-years, respectively (adjusted hazard ratio, 0.95; 95% confidence interval, 0.89-1.02). CONCLUSIONS: Acute kidney injury necessitating in-hospital dialysis was associated with an increased risk of chronic dialysis but not all-cause mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".