4.5 Article Proceedings Paper

Patient Factors Associated with High Opioid Consumption after Common Surgical Procedures Following State-Mandated Opioid Prescription Regulations

Related references

Note: Only part of the references are listed.
Article Surgery

Predicting postoperative opioid use with machine learning and insurance claims in opioid-naive patients

Jaewon Hur et al.

Summary: By using preoperative claims data, this study aimed to predict postoperative opioid refill and new persistent use in opioid-naive patients. Non-linear models showed modest improvements in predicting refills compared to linear models, while they performed similarly in predicting new persistent use. Patient attributes such as undergoing major surgery, receiving opioid prescriptions within 30 days prior to surgery, and experiencing abdominal pain were useful in predicting refills, whereas back/joint/head pain were the most important features in predicting new persistent use.

AMERICAN JOURNAL OF SURGERY (2021)

Article Anesthesiology

Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning

Andrew Ward et al.

Summary: This study evaluated the ability of machine-learning algorithms to predict adolescents at risk of prolonged opioid use after surgery and identified factors associated with this risk. The top-performing algorithm achieved an AUC of 0.711 and revealed variables like days' supply of opioids before surgery strongly associated with this risk.

ANESTHESIA AND ANALGESIA (2021)

Article Anesthesiology

Impact of Policy Interventions on Postoperative Opioid Prescribing

Charles D. MacLean et al.

PAIN MEDICINE (2019)

Article Oncology

Surgeon perception versus reality: Opioid use after breast cancer surgery

Ko Un Park et al.

JOURNAL OF SURGICAL ONCOLOGY (2019)

Article Surgery

Perioperative factors associated with pain following open ventral hernia repair

Walker Ueland et al.

SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2019)

Article Orthopedics

Elective Shoulder Surgery in the Opioid Naive Rates of and Risk Factors for Long-term Postoperative Opioid Use

Timothy S. Leroux et al.

AMERICAN JOURNAL OF SPORTS MEDICINE (2019)

Article Computer Science, Interdisciplinary Applications

The REDCap consortium: Building an international community of software platform partners

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

Article Orthopedics

Development of a clinical risk calculator for prolonged opioid use after shoulder surgery

Allen D. Nicholson et al.

JOURNAL OF SHOULDER AND ELBOW SURGERY (2019)

Article Surgery

Post-Discharge Opioid Prescribing and Use after Common Surgical Procedure

Mayo H. Fujii et al.

JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS (2018)

Article Orthopedics

Opioid Use After Total Knee Arthroplasty: Trends and Risk Factors for Prolonged Use

Nicholas A. Bedard et al.

JOURNAL OF ARTHROPLASTY (2017)

Article Urology & Nephrology

Rates and Risk Factors for Opioid Dependence and Overdose after Urological Surgery

Arpeet S. Shah et al.

JOURNAL OF UROLOGY (2017)

Article Health Care Sciences & Services

Regression coefficient-based scoring system should be used to assign weights to the risk index

Hemalkumar B. Mehta et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2016)

Article Medicine, General & Internal

Incidence of and Risk Factors for Chronic Opioid Use Among Opioid-Naive Patients in the Postoperative Period

Eric C. Sun et al.

JAMA INTERNAL MEDICINE (2016)

Article Medicine, General & Internal

Rates and risk factors for prolonged opioid use after major surgery: population based cohort study

Hance Clarke et al.

BMJ-BRITISH MEDICAL JOURNAL (2014)

Article Computer Science, Interdisciplinary Applications

Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

Article Health Care Sciences & Services

Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis

EW Steyerberg et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2001)