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Adrenal Suppression in Pediatric Patients during Treatment for Acute Lymphoblastic Leukemia

2015· article· en· W2554103893 on OpenAlexaffabout
Mary-Pat Schlosser, Daniel Burd, Alexandra Ahmet, Sarah Lawrence, Mylène Bassal

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsAdrenal crisisMedicineAdrenal insufficiencyContext (archaeology)HypoglycemiaIntensive care medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Hypothalamic-pituitary-adrenal (HPA) axis suppression is a form of adrenal insufficiency that can be found following the use of corticosteroids. Individuals with adrenal insufficiency may have non-specific symptoms or even no regular symptoms, however if presented with a physiologic stress such as infection, injury, or surgery, they are at risk of adrenal crisis. Adrenal crisis typically manifests with hypoglycemia, hypotension and critical illness; this condition is associated with significant morbidity and even mortality. Children being treated for leukemia are at increased risk of infection and may require surgical procedures, thus putting them at risk of adrenal crisis in the context of adrenal suppression. It is known that adrenal suppression exists in the short term after the induction phase of treatment in patients with acute lymphoblastic leukemia (ALL), but the prevalence and duration of suppression is still not fully understood. In addition, adrenal suppression has not been specifically evaluated during the maintenance phase of therapy. During maintenance there may be ongoing adrenal suppression from steroid use in induction, or new suppression from steroid use for maintenance therapy itself. There does not yet exist an accepted protocol to monitor for adrenal insufficiency in ALL. Knowing the prevalence and duration of adrenal suppression in maintenance will enable care teams to better recognize and manage the condition, potentially preventing significant morbidity and mortality. Methods: All cases of ALL treated at the Children's Hospital of Eastern Ontario from 2000 to 2014 were retrospectively reviewed for adrenal suppression. Patient characteristics, clinical features, laboratory data, treatment protocol utilized, adverse events and outcomes were examined. Results: 176 patients were diagnosed with new ALL at The Children's Hospital of Eastern Ontario between 2000 and 2014. Prompted by clinical suspicion, 24 had testing done to investigate for adrenal suppression during this time period. 9 of those patients had cortisol levels indicative of adrenal suppression and required further management for the same. Adrenal suppression was identified in early phases of treatment for ALL. Adrenal suppression was also identified in patients during the maintenance phase of treatment. Many more patients had symptoms that could be attributed to adrenal suppression, but never had cortisol levels tested. Conclusion: Adrenal suppression is found in children being treated for ALL, including during the maintenance phase of therapy. Adrenal suppression may have been present in greater numbers of children, but no routine testing protocol exists to identify these patients. Identifying and reviewing cases of adrenal suppression in children during treatment for ALL, including the maintenance phase, gives a better understanding of the risk of HPA axis suppression in this population. This study also provides background data for the development of a prospective study to further look at adrenal suppression in the maintenance phase of ALL. These studies will guide development of a testing protocol to better identify and manage adrenal suppression, thereby reducing its morbidity and mortality, in children being treated for ALL. Disclosures No relevant conflicts of interest to declare.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.265
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes2
Has abstractyes

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