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Analgesics, Opioid

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Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

JAMA health forum
IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C virus (HCV) infections, a known complication of opioid use, grew in parallel with opioid-related complications; however, the literature informing individ...

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

Journal of psychoactive drugs
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

Frontiers in public health
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and s...

Efficacy of Transversus Abdominis Plane Block in the Reduction of Pain and Opioid Requirement in Laparoscopic and Robot-assisted Hysterectomy: A Systematic Review and Meta-analysis.

Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia
OBJECTIVE:  To summarize the available evidence of TAP Block in efficacy in laparoscopic or robotic hysterectomy.

Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Potential of natural language processing (NLP) in extracting patient's information from clinical notes of opioid treatment programs (OTP) and leveraging it in development of predictive models has not been fully explored. The goal of this study was to...

Variations in Opioid Use Following Robotic Radical Prostatectomy in South Florida.

Journal of endourology
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid prescribing. Our objective was to quantify at-home opioid requirements following radical prostatectomy. ...

Predicting the structure of unexplored novel fentanyl analogues by deep learning model.

Briefings in bioinformatics
Fentanyl and its analogues are psychoactive substances and the concern of fentanyl abuse has been existed in decades. Because the structure of fentanyl is easy to be modified, criminals may synthesize new fentanyl analogues to avoid supervision. The ...

A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

International journal of medical informatics
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...

Using natural language processing to identify opioid use disorder in electronic health record data.

International journal of medical informatics
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention strategies, presents challenges. The ...

Single Port Versus Multiport Robot-assisted Simple Prostatectomy: A Multi-institutional Study From the Single-port Advanced Research Consortium (SPARC).

Urology
OBJECTIVE: To compare robot-assisted simple prostatectomy intraoperative and postoperative.ßoutcomes between single-port (SP) and multiport (MP) robotic systems in a multi-institutional setting.