Effect of N-acetylcysteine on microalbuminuria in patients with acute respiratory distress syndrome
Bibliographic record
Abstract
Introduction: Acute respiratory distress syndrome (ARDS) is associated with enlarged permeability of respiratory capillaries resulting in interstitial edema and microalbuminuria. This study investigated the effect of early treatment with N-acetylcysteine (NAC) on microalbuminuria/creatinine ratio and clinical improvement in ARDS. Material and methods: Twenty-three patients with ARDS were randomly entered into two groups of study including regular therapy and regular therapy plus NAC. NAC was started with 150 mg/kg on the first day followed by 50 mg/kg at the second day. Urine sample was tested for microalbuminuria on 4, 6, 12, 24, 36, and 48 h post baseline. Results: No significant correlation was found between microalbumin/creatinine ratio (MACR) and acute physiology and chronic health evaluation (APACHE II) or PaO2/FiO2 ratio and blood pressure in each group. Non-survivors showed higher urine albumin creatinine ratio (ACR) and physiologic scores than survivors. The patients outcome who treated with NAC showed significant improvement comparing with controls. Conclusions: NAC improves global hypoxemia in the patients with acute lung injury. Improvement of oxidant/antioxidant balance by NAC increases the survival of patients with ARDS who are under oxidative crisis. Although limitations of this study do not let us to reach a conclusive decision but the impact of microalbominuria as a predictive of survival in ARDS patients receiving NAC seems essential. Conducting larger clinical trials are recommended.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".