Effect of hemodialysis on respiratory mechanics in acute kidney injury patients
Bibliographic record
Abstract
Abstract Introduction: Hemodialysis (HD) is one treatment for acute kidney injury (AKI) patients. Studies have shown that this dialysis modality may lead to changes in pulmonary function with an impact on prognosis. The aim of our study was to evaluate changes in respiratory mechanics and oxygenation of AKI patients admitted to an intensive care unit who were undergoing intermittent mechanical ventilation (IMV) and daily HD. Methods: This prospective cohort study evaluated 94 AKI patients and 234 HD sessions. Pulmonary static compliance (Pcs), resistance (Rsr), and arterial partial pressure of oxygen and the fraction of inspired oxygen (PaO 2 /FiO 2 ) ratio were assessed during the initial three‐day period of daily HD therapy. Findings: Psc increased progressively during HD sessions, from 39.4 ± 21.4 mL/cm H 2 O prior to the initial dialysis to 55.5 ± 25.2 at the end of the last dialysis during the study period (P = 0.04). Similarly, Rsr and PaO 2 /FiO 2 ratio also improved, from 11.1 ± 6.3 cm H 2 O/L/s prior to the initial dialysis to 8.8 ± 4.2 at the end of the last dialysis (P =0.0027) and from 228 ± 85 prior to the initial dialysis to 312.1 ± 111.5, P < 0.001, to the end of the last dialysis, respectively. Conclusion: This study showed that AKI patients undergoing IMV and daily HD improve their respiratory mechanics and oxygenation.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".