Experimental Cardiorenal Syndrome Type 3: What Is Known so Far?
Bibliographic record
Abstract
BACKGROUND: The concept of cardiorenal syndrome (CRS) has been established more than 10 years ago. Five distinct types of CRS have been defined. In CRS type 3, acute kidney injury (AKI) induces cardiac complications such as ventricular decompensation due to arrhythmias, myocardial ischemia, or fluid retention with or without arterial hypertension. The risk of cardiovascular events in AKI has been known for many years, even long before the introduction of the CRS concept. However, epidemiological and clinical studies published in recent years increasingly emphasized CRS type 3 (and the remaining four types also) as separate entity which requires particular therapeutic attention in an interdisciplinary manner. However, only a limited number of experimental studies specifically addressed CRS type 3 so far. Our review aims to summarize experimental studies on the pathological mechanisms in CRS type 3. METHODS: The following search criteria were employed in order to identify articles published on the topic: "cardiorenal syndrome 3" OR "cardiorenal syndrome type 3" OR "CRS type 3" OR "CRS 3" AND "experimental" OR "mouse" OR "mice" OR "rats" OR "animals"; additional criteria were "myocardium" AND "ischemia" AND "kidney" OR "renal". By applying the search criteria mentioned earlier, 10 references were finally selected. RESULTS: By applying the search strategy, 10 experimental studies were finally selected. All included cardiac outcome analysis in AKI animals. The data clearly provide evidence for cardiac complications that evolve independently from excretory kidney dysfunction. Pathological processes that emerge in the heart of animals subjected to renal ischemia involve inflammation, a dysbalance of redox components, pro-apoptotic processes, and mitochondrial dysfunction. CONCLUSION: The findings may explain why AKI increases the risk of acute cardiac complications even if dialysis treatment has been initiated.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".