A5020838037- Mental Health Research Topics
- Treatment of Major Depression
- Pain Mechanisms and Treatments
- Tryptophan and brain disorders
- Biomedical Text Mining and Ontologies
- Pharmacology and Obesity Treatment
- Bioinformatics and Genomic Networks
- Machine Learning in Healthcare
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Diabetes Treatment and Management
- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Opioid Use Disorder Treatment
- Health Systems, Economic Evaluations, Quality of Life
- Metabolomics and Mass Spectrometry Studies
- Substance Abuse Treatment and Outcomes
- Musculoskeletal pain and rehabilitation
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
Case Western Reserve University
2022-2024
Abstract Background Gabapentin and pregabalin are commonly prescribed medications to treat pain in patients with diabetic neuropathy. can cause fluid retention, which is hypothesized be associated cardiovascular diseases. However, whether long-term use of gabapentin adverse diseases remains unknown. This study aims examine the association between use, several events. Methods retrospective cohort used propensity score matching within patient electronic health records (EHRs) from a multicenter...
Objective Fibromyalgia, a chronic pain disorder, impacts approximately 2% of adults in the US. Gabapentin and pregabalin are common treatments to manage fibromyalgia-related pain. Our recent study showed risk adverse cardiovascular events increased diabetic neuropathy patients who were prescribed gabapentin or pregabalin. Here, we investigated whether prescription has similar with fibromyalgia. Methods This retrospective cohort leveraged electronic health records from 64 US healthcare...
Abstract Background Opioid use disorder (OUD) has become an urgent health problem. People with OUD often experience comorbid medical conditions. Systematical approaches to identifying co-occurring conditions of can facilitate a deeper understanding mechanisms and drug discovery. This study presents integrated approach combining data mining, network construction ranking, hypothesis-driven case–control studies using patient electronic records (EHRs). Methods First, we mined comorbidities from...
Abstract Ketamine, including esketamine, is an effective treatment for patients with treatment-resistant depression (TRD); however, its long-term efficacy in real-world populations remains poorly characterized. This a retrospective cohort study using TriNetX US Collaborative Network, platform aggregating electronic health records (EHRs) data from 93 million 56 care organizations the US, and population includes 321,367 diagnosis of TRD who were prescribed relevant their EHRs. The prescription...
Ketamine has gained attention for its effective treatment patients with major depressive disorder (MDD) and suicidal ideation; Despite numerous studies presenting the rapid efficacy, long-term benefit in real-world populations remains poorly characterized. This is a retrospective cohort study using TriNetX US Collaborative Network, platform aggregating electronic health records (EHRs) data from 108 million 62 care organizations US, population includes 514,988 diagnosis of recurrent MDD who...