Bibliographic record
Abstract
PURPOSE OF REVIEW: Acute kidney injury (AKI) is a common problem in critically ill patients, with long-term health implications that extend beyond hospital discharge. Though they are at a high risk of adverse events, AKI survivors may not be receiving adequate postdischarge medical attention. This review discusses recently published data regarding health outcomes after AKI, the current state of post-AKI care, and potential opportunities to improve outpatient care after AKI. RECENT FINDINGS: In addition to predisposing to de-novo chronic kidney disease or an exacerbation of previously existing chronic kidney disease, a prior episode of AKI has been linked to subsequent cardiac events, cerebrovascular events, and the need for hospital readmission. Despite this, a population-wide study in Ontario showed that only 40% of patients surviving an episode of dialysis-requiring AKI visited a nephrologist within 90 days of hospital discharge. This care gap is important since outpatient contact with a nephrologist during this critical period was associated with enhanced survival. SUMMARY: AKI is associated with a number of long-term health effects, and new strategies may be needed to address this emerging public health issue. An ambulatory program dedicated to the postdischarge care of AKI survivors may confer a variety of benefits. Future research is needed to evaluate this model of care.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".