P0222 / #508: INCIDENCE OF METABOLIC DISTURBANCES DURING CONTINUOUS RENAL REPLACEMENT THERAPY WITH REGIONAL CITRATE ANTICOAGULATION
Bibliographic record
Abstract
Aims & Objectives: The objective of this study was to evaluate the incidence of electrolyt and acid-base disturbances in critically ill children undergiong continuous renal replacement therapy (CRRT) with regional citrate anticoagulation (RCA). Methods: A retrospective analysis were performed in all children treated with CRRT and RCA at a PICU in a tertiary care children´s hospital over a five year period (2015-2019). RCA was performed according to our local protocoll. We defined mild and severe disturbances for sodium, potassium, magnesium, phosphate, calcium, bicarbonate and lactate as well as metabolic acidosis and alkalosis and recorded the events per patient. Results: A total of 35 patients with a median (range) age of 5.75 years (0.1-17) were analyzed. Median duration of CRRT was 144 hours (14.7-797.2) and median filter life was 39 hours (14.7-165). Overall survival from ICU was 66% (23/35). The most common metabolic derangements were mild hypophosphatemia (n = 456 episodes, in 86 % of the patients), mild hypermagnesemia (n = 444, 86 %), mild hyperbicarbonatemia (n = 415, 76 %) and mild hypokalemia (n = 345, 95 %). Severe hypophosphatemia (n = 124, 67 %), severe hyperbicarbonatemia (n = 89, 48 %), severe ionized hypocalcemia (n = 27, 43 %) and severe metabolic alkalosis (n = 16, 29 %) were less frequent. A total 37 episodes of suspected citrate-accumulation (ratio total-Ca2+/iCa2+ > 2.5) were detected. Conclusions: Metabolic disturbances during CRRT with RCA are common and mostly mild in nature. A strict protocol with rigorous monitoring is mandatory to ensure patient safety during CRRT with RCA.
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 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 | 0.001 | 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".