A5062388619- Intensive Care Unit Cognitive Disorders
- Anesthesia and Sedative Agents
- Anesthesia and Neurotoxicity Research
- Diet and metabolism studies
- Epigenetics and DNA Methylation
- EEG and Brain-Computer Interfaces
- Electrolyte and hormonal disorders
- Metabolism, Diabetes, and Cancer
- Tryptophan and brain disorders
- Family and Patient Care in Intensive Care Units
- Neuroinflammation and Neurodegeneration Mechanisms
- Gut microbiota and health
- Hematological disorders and diagnostics
- Cancer Diagnosis and Treatment
- Functional Brain Connectivity Studies
- Inflammatory mediators and NSAID effects
- Inflammasome and immune disorders
- Nutrition and Health in Aging
- Identity, Memory, and Therapy
- Heart Rate Variability and Autonomic Control
- Streptococcal Infections and Treatments
- Dupuytren's Contracture and Treatments
- Long-Term Effects of COVID-19
- Soft tissue tumor case studies
- Bipolar Disorder and Treatment
University of Iowa
2020-2024
Stanford University
2022-2024
University of California, San Francisco
2024
University of Iowa Hospitals and Clinics
2024
Abstract Background: Artificial intelligence (AI) has the potential to enhance clinical decision-making, including in infectious diseases. By improving antimicrobial resistance prediction and optimizing antibiotic prescriptions, these technologies may support treatment strategies address critical gaps healthcare. This study evaluates effectiveness of AI guiding appropriate prescriptions for diseases through a systematic literature review. Methods: We conducted review studies evaluating...
Abstract Current methods for screening and detecting delirium are not practical in clinical settings. We previously showed that a simplified EEG with bispectral electroencephalography (BSEEG) algorithm can detect elderly inpatients. In this study, we performed post-hoc BSEEG data analysis using larger sample size topological to improve the method. Data from 274 subjects included previous study were analyzed as 1st cohort. Subjects enrolled at University of Iowa Hospitals Clinics (UIHC)...
Background We have developed the bispectral electroencephalography (BSEEG) method for detection of delirium and prediction poor outcomes. Aims To improve BSEEG by introducing a new EEG device. Method In prospective cohort study, data were obtained scores calculated. filtered on basis standard deviation (s.d.) values to exclude signals with high noise. Both non-filtered s.d.-filtered analysed. compared results three screening scales: Confusion Assessment Intensive Care Unit (CAM-ICU),...
Delirium, a syndrome characterized by an acute change in attention, awareness, and cognition, is commonly observed older adults, although there are few quantitative monitoring methods the clinical setting. We developed bispectral electroencephalography (BSEEG) method capable of detecting delirium can quantify severity using novel algorithm. Preclinical application this BSEEG capture delirium-like state mice following lipopolysaccharide administration. However, its to postoperative (POD) has...
Delirium is risky and indicates poor outcomes for patients. Therefore, it crucial to create an effective delirium detection method. However, the epigenetic pathophysiology of remains largely unknown. We aimed discover reliable replicable (DNA methylation: DNAm) markers that are associated with including post-operative (POD) in blood obtained from patients among four independent cohorts. Blood DNA cohorts (two inpatient two surgery cohorts; 16 88 each) were analyzed using Illumina EPIC array...
Abstract The pathophysiological mechanisms of postoperative delirium (POD) are still not clear, and no reliable biomarker is available to differentiate those with without POD. Pre- post-surgery blood from epilepsy subjects undergoing neurosurgery were collected. DNA methylation (DNAm) levels the TNF gene, IL1B IL6 gene by Illumina EPIC array method, DNAm pyrosequencing, analyzed. Blood 37 analyzed 27 pyrosequencing. Several CpGs in preoperative showed a negative correlation between their age...
Aging | doi:10.18632/aging.204498. Pedro S. Marra, Takehiko Yamanashi, Kaitlyn J. Crutchley, Nadia E. Wahba, Zoe-Ella M. Anderson, Manisha Modukuri, Gloria Chang, Tammy Tran, Masaaki Iwata, Hyunkeun Ryan Cho, Gen Shinozaki
Detecting delirium is important to identify patients with a high risk of poor outcomes. Although many different kinds screening instruments for exist, there no solid consensus about which methods are the most effective. In addition, it find useful tools in predicting outcomes such as mortality.Retrospective cohort study.University Iowa Hospitals and Clinics.A total 1,125 adult inpatients (mean age = 67.7; median 69).Post hoc analyses were performed based on existing data from Confusion...
Abstract We have previously developed a bispectral electroencephalography (BSEEG) device, which was shown to be effective in detecting delirium and predicting patient outcomes. In this study we aimed apply the BSEEG approach for sepsis. This retrospective cohort conducted at single center. Sepsis-positive cases were identified based on chart review. EEG raw data calculated scores obtained previous studies. The relationship between sepsis analyzed, as well among sepsis, score, mortality. Data...
There is no previous study demonstrating the differences of genome-wide DNA methylation (DNAm) profiles between patients with and without postoperative delirium (POD). We aimed to discover epigenetic markers that are associated POD in blood obtained from before after neurosurgery.Pre- post-surgical samples 37 patients, including 10 cases, were analyzed using Illumina EPIC array platform. examined DNAm POD. Enrichment analysis Gene Ontology Kyoto Encyclopedia Genes Genomes terms also...
Aging | doi:10.18632/aging.204393. Takehiko Yamanashi, Zoe-Ella EM Anderson, Manisha Modukuri, Gloria Chang, Tammy Tran, Pedro S. Marra, Nadia E. Wahba, Kaitlyn J. Crutchley, Eleanor Sullivan, Sydney Jellison, Katie R. Comp, Cade C. Akers, Alissa A. Meyer, Sangil Lee, Masaaki Iwata, Hyunkeun Cho, Eri Shinozaki, Gen Shinozaki
Abstract Delirium, a syndrome characterized by an acute change in attention, awareness, and cognition, is commonly observed older adults has multiple potential triggers, including illness, drug, trauma, surgery. There are few quantitative monitoring methods clinical settings. We developed the bispectral electroencephalography (BSEEG) method research that can detect presence of quantify severity delirium using novel algorithm. In pre-clinical model, we reported BSEEG capture delirium-like...
Abstract Objective To investigate the relationship between history of metformin use and delirium risk, as well long-term mortality. Methods In this retrospective cohort study, subjects recruited January 2016 March 2020 were analyzed. Logistic regression analysis was performed to delirium. Log-rank Cox proportional hazards model used 3-year Results The data from 1404 242 categorized into a DM-without-metformin group, 264 DM-with-metformin group. Prevalence 36.0% in 29.2% A reduced risk...
Abstract Aims There is no previous study demonstrating the differences of genome-wide DNA methylation (DNAm) profiles between patients with and without postoperative delirium (POD). We aimed to discover epigenetic markers that are associated POD in blood obtained from before after neurosurgery. Methods Pre- post-surgical samples 37 patients, including 10 cases, were analyzed using Illumina EPIC array platform. examined DNAm POD. Enrichment analysis Gene Ontology Kyoto Encyclopedia Genes...
Abstract Background While there are medications that treat and manage age-related diseases, a compound prolongs lifespan is yet to be discovered. Nonetheless, metformin, commonly prescribed anti-diabetic medication, has repeatedly been shown hinder aging in pre-clinical models associated with lower mortality for humans, even among cancer patients. It is, however, not well understood how metformin can potentially prolong from biological standpoint. We hypothesized metformin’s potential...