Acute Kidney Injury Following Cardiac Surgery: Prevention, Diagnosis, and Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Acute kidney injury (AKI) following cardiac surgery is associated with increased morbidity and mortality, longer hospital stays, and significantly increased health care costs. The physiological functions performed by the kidney, which include acid-base control, blood pressure regulation, water balance, and waste excretion, are crucial to the maintenance of homeostasis and can only partially be accomplished using renal replacement therapy (RRT). A number of risk factors have been identified that should be recognized in order to counsel patients appropriately and attempt to prevent AKI. Several pharmacologic and therapeutic modalities have been suggested, with varying levels of evidence, to aid in prevention of AKI and limit the extent of injury and morbidity once renal dysfunction has been recognized. The purpose of this chapter is to review the epidemiology, prevention, diagnosis, and treatment of acute kidney injury following cardiac surgery. These topics will be reviewed in detail in the discussion that follows.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it