New-onset acute rapidly deteriorating case of calciphylaxis after open heart surgery: a case report
Bibliographic record
Abstract
BACKGROUND: Calciphylaxis is a rare life-threatening condition that is characterized by calcification of small blood vessels and soft tissues. This condition is classically described in uraemic patients with end-stage renal failure who are on dialysis or had previous renal transplant. It has also been reported in non-uraemic patients and those who are on warfarin therapy. It is typically associated with high calcium/phosphorus product. Patients classically present with painful skin lesion that evolve into painful ulcers. There are multiple risk factors that were reported to trigger or worsen calciphylaxis. Treatment is a multidisciplinary approach that involves elimination of risk factors, wound management, pain control, and optimization of calcium/phosphorus metabolism. Reported mortality rates are very high especially in the uraemic group. CASE SUMMARY: Here we present a case of a patient, who is on chronic renal dialysis for stage renal failure, who underwent mechanical mitral valve replacement and tricuspid valve repair. In the perioperative period, she was exposed to multiple risk factors that are known to potentially trigger prophylaxis. In the early postoperative period, she developed new-onset rapidly deteriorating skin lesions and the histopathological diagnosis confirmed calciphylaxis. Her treatment plan included pain control, frequent wound care, and optimization of nutritional and metabolic status. DISCUSSION: Calciphylaxis is a very serious condition that is usually associated with poor outcome. In this case, we discuss the unusual presentation of this condition with particular emphasis on the multiple perioperative risk factors that can potentially trigger the onset of calciphylaxis in postoperative cardiac patients. We also discuss the epidemiology, pathogenesis, diagnosis, histopathological findings, and different lines of treatment of this serious condition and the potential preventative strategies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".