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Record W2803943598 · doi:10.1001/jamasurg.2018.1039

Association of Opioid-Related Adverse Drug Events With Clinical and Cost Outcomes Among Surgical Patients in a Large Integrated Health Care Delivery System

2018· article· en· W2803943598 on OpenAlexfundno aff
Shahid Shafi, Ashley Collinsworth, Laurel A. Copeland, Gerald Ogola, Taoran Qiu, Maria Kouznetsova, I‐Chia Liao, Natalie Mears, An T. Pham, George J. Wan, Andrew L. Masica

Bibliographic record

VenueJAMA Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersNational Institute of Mental HealthMallinckrodt PharmaceuticalsPfizerU.S. Department of Veterans Affairs
KeywordsMedicineAdverse effectEmergency medicineOpioidRetrospective cohort studyConfoundingIncidence (geometry)Logistic regressionComorbidityInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Importance: Opioids are commonly used for pain control during and after invasive procedures. However, opioid-related adverse drug events (ORADEs) are common and have been associated with worse patient outcomes. Objectives: To examine the incidence of ORADEs in patients undergoing hospital-based surgical and endoscopic procedures and to evaluate the association of ORADEs with clinical and cost outcomes. Design, Setting, and Participants: In this retrospective study of clinical and administrative data, ORADEs were identified using International Classification of Diseases, Ninth Revision diagnosis codes for known adverse effects of opioids or by opioid antagonist use. Multivariable regression analysis was used to measure the association of ORADEs with outcomes after adjusting for potential confounding factors. The setting was 21 acute care hospitals in a large integrated health care delivery system. Participants were 135 379 patients (aged ≥18 years, admitted from January 1, 2013, to September 30, 2015) who underwent surgical and endoscopic procedures and were given opioids. Exposure: Opioid use, reported as morphine milligram equivalent doses. Main Outcomes and Measures: Opioid-related adverse drug events and their association with inpatient mortality, discharge to another care facility, length of stay, cost of hospitalization, and 30-day readmission. Results: Among 135 379 adult patients in this study (67.5% female), 14 386 (10.6%) experienced at least one ORADE. Patients with ORADEs were more likely to be older, of white race/ethnicity, and male and have more comorbidities. Patients with ORADEs received a higher total dose of opioids (median morphine milligram equivalent dose, 46.8 vs 30.0 mg; P < .001) and for a longer duration (median, 3.0 vs 2.0 days; P < .001). In adjusted analyses, ORADEs were associated with increased inpatient mortality (odds ratio [OR], 28.8; 95% CI, 24.0-34.5), greater likelihood of discharge to another care facility (OR, 2.9; 95% CI, 2.7-3.0), prolonged length of stay (OR, 3.1; 95% CI, 2.8-3.4), high cost of hospitalization (OR, 2.7; 95% CI, 2.4-3.0), and higher rate of 30-day readmission (OR, 1.3; 95% CI, 1.2-1.4). ORADEs were associated with a 2.9% increase in absolute mortality, an $8225 increase in cost for the index hospitalization, and a 1.6-day increase in length of stay for the index hospitalization. Conclusions and Relevance: Opioid-related adverse drug events were common among patients undergoing hospital-based invasive procedures and were associated with significantly worse clinical and cost outcomes. Hospital-acquired harm from ORADEs in the surgical patient population is an important opportunity for health systems to improve patient safety and reduce cost.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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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Citations245
Published2018
Admission routes1
Has abstractyes

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