Fulminant tumour lysis syndrome in acute myelogenous leukaemia with inv(16)(p13;q22)
Bibliographic record
Abstract
Tumour lysis syndrome (TLS) is caused by rapid breakdown of malignant cells resulting in electrolyte disturbances and acute renal failure. TLS has rarely been described in patients with acute myelogenous leukaemia (AML). Between November 1997 and July 2001, 114 consecutive adult AML patients aged <60 yr received induction chemotherapy consisting of cytosine arabinoside 1.5 g m(-2) q 12 h x 12 doses and daunorubicin 45 mg m(-2) d(-1) x 3 doses. During induction chemotherapy (CT), seven patients (6.1%, 95% CI 2.5-12.2) developed fulminant TLS, resulting in acute renal failure; five of these seven patients had inversion of chromosome 16 [inv(16)(p13;q22)], and one patient had a biological equivalent [t(16,16)(p13;q22)]. Four of the TLS patients underwent leukapheresis for a presenting white blood cell (WBC) count > 100 x 10(9) L(-1) prior to commencing chemotherapy, and six patients subsequently required haemodialysis for a median of 2 (range 1-8) wk. One TLS patient died of intracerebral hemorrhage on day 10 and another patient of multiorgan failure on day 17. Of the other five patients, all entered a complete remission (CR) and recovered normal renal function. Four patients remain in continuous CR [median follow-up 20 (range 12-25) months]. One patient relapsed at 12 months and again developed TLS on re-induction. In univariate analysis, TLS patients were more likely to have an elevated presentation and pre-chemotherapy WBC counts, elevated serum creatinine, and uric acid levels at presentation, as well as an inv(16). In multivariate analysis, only serum creatinine and inv(16) remained statistically significant (P < 0.001 for each). Patients with an inv(16) are a unique AML subgroup at high risk for fulminant TLS.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".