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Record W4403374041 · doi:10.1016/j.ajem.2024.10.028

Trends and hospital practice variation for analgesia for children with sickle cell disease with vaso-occlusive pain episodes: An 11-year analysis

2024· article· en· W4403374041 on OpenAlexaff
Mohamed Eltorki, Matt Hall, Sriram Ramgopal, Pradip P. Chaudhari, Oluwakemi Badaki‐Makun, Chris A. Rees, Kelly R. Bergmann, Daniel J. Shapiro, Frank González, Timothy T. Phamduy, Mark I. Neuman

Bibliographic record

VenueThe American Journal of Emergency Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAlberta Children's Hospital
FundersNational Heart, Lung, and Blood Institute
KeywordsOcclusiveMedicineDiseaseVaso-occlusive crisisVariation (astronomy)AnesthesiaPediatricsSickle cell anemiaInternal medicine

Abstract

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This cross-sectional analysis of 86,111 visits for sickle cell disease and vaso-occlusive episodes (VOE) in U.S. pediatric emergency departments between 2013 and 2023 shows increased use of NSAIDs, ketamine, and acetaminophen, with unchanged opioid use. Hospitals with a higher volume of VOE visits more frequently administered opioids. BACKGROUND: Vaso-occlusive episodes (VOEs) are a hallmark of sickle cell disease (SCD), leading to frequent emergency department (ED) visits. Effective pain management is crucial, with guidelines recommending routine use of non-steroidal anti-inflammatory drugs (NSAIDs) with opioids, and emerging evidence supporting ketamine use. However, these recommendations are based on low-certainty evidence, and the impact of these guidelines on analgesia use over time remains unclear. OBJECTIVE: This study aimed to analyze trends in analgesia use over an 11-year period in pediatric SCD patients presenting to U.S. EDs with VOE and assess variations in treatment across hospitals. METHODS: A cross-sectional study was conducted using data from the Pediatric Health Information System covering 34 U.S. children's hospitals from January 1, 2013, to December 31, 2023. The primary outcomes were the proportions of visits where opioids, NSAIDs, acetaminophen, and/or ketamine were administered on the first calendar day of the initial visit. Secondary outcomes included the co-administration of NSAIDs with opioids. Logistic and linear regression models were used to assess trends and hospital-level variations. RESULTS: A total of 86,111 ED visits for VOE were analyzed. Opioids were administered in 82 % of encounters, NSAIDs in 72 %, acetaminophen in 17 %, and ketamine in 1 %. Co-administration of NSAIDs with opioids occurred in 59 % of the visits. Among discharged patients, there was a positive trend for NSAID use (slope: 1.68 %/year, 95 % CI: 0.91 %, 2.45 %) and NSAID-opioid co-administration (slope: 1.03 %/year, 95 % CI: 0.37 %, 1.69 %) over time. Acetaminophen use also increased over the study period (slope: 0.99 %/year, 95 % CI: 0.80 %, 1.17 %). In hospitalized patients, there was a significant upward trend for acetaminophen (slope: 1.29 %/year, 95 % CI: 0.69 %, 1.89 %) and ketamine (slope: 0.36 %/year, 95 % CI: 0.27 %, 0.45 %), while opioid use remained unchanged. Significant hospital-level variations were observed, with larger hospitals more likely to administer opioids but less likely to co-administer NSAIDs with opioids compared to medium-volume hospitals. CONCLUSION: Over the past decade, the use of NSAIDs, acetaminophen, and ketamine has increased in the management of VOE in pediatric SCD patients, while opioid use remains consistent. The co-administration of NSAIDs and opioids has also increased, reflecting guideline adherence. Variations in analgesia practices across hospitals underscore the need for standardizing pain management strategies in this population.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.218
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.286
Teacher spread0.280 · 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 teacher head, 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".

Quick stats

Citations9
Published2024
Admission routes1
Has abstractyes

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