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Yu H, Simpao AF, Ruiz VM, Nelson O, Muhly WT, Sutherland TN, Gálvez JA, Pushkar MB, Stricker PA, Tsui F(R. Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital. JAMIA Open 2023; 6:ooad106. [PMID: 38098478 PMCID: PMC10719078 DOI: 10.1093/jamiaopen/ooad106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
Objectives Pediatric emergence delirium is an undesirable outcome that is understudied. Development of a predictive model is an initial step toward reducing its occurrence. This study aimed to apply machine learning (ML) methods to a large clinical dataset to develop a predictive model for pediatric emergence delirium. Materials and Methods We performed a single-center retrospective cohort study using electronic health record data from February 2015 to December 2019. We built and evaluated 4 commonly used ML models for predicting emergence delirium: least absolute shrinkage and selection operator, ridge regression, random forest, and extreme gradient boosting. The primary outcome was the occurrence of emergence delirium, defined as a Watcha score of 3 or 4 recorded at any time during recovery. Results The dataset included 54 776 encounters across 43 830 patients. The 4 ML models performed similarly with performance assessed by the area under the receiver operating characteristic curves ranging from 0.74 to 0.75. Notable variables associated with increased risk included adenoidectomy with or without tonsillectomy, decreasing age, midazolam premedication, and ondansetron administration, while intravenous induction and ketorolac were associated with reduced risk of emergence delirium. Conclusions Four different ML models demonstrated similar performance in predicting postoperative emergence delirium using a large pediatric dataset. The prediction performance of the models draws attention to our incomplete understanding of this phenomenon based on the studied variables. The results from our modeling could serve as a first step in designing a predictive clinical decision support system, but further optimization and validation are needed. Clinical trial number and registry URL Not applicable.
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Affiliation(s)
- Han Yu
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
- Department of Population Medicine, Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States
| | - Allan F Simpao
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
| | - Victor M Ruiz
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
| | - Olivia Nelson
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Wallis T Muhly
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Tori N Sutherland
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Julia A Gálvez
- Department of Anesthesiology & Critical Care, Children’s Hospital & Medical Center, Omaha, NE 68114, United States
| | - Mykhailo B Pushkar
- Department of Anesthesiology, Intensive Care and Pediatric Anesthesiology, Kharkiv National Medical University, Kharkiv, 61022, Ukraine
| | - Paul A Stricker
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Fuchiang (Rich) Tsui
- Department of Anesthesiology and Critical Care Medicine, The Children’s Hospital of Philadelphia and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States
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Jin Z, Rismany J, Gidicsin C, Bergese SD. Frailty: the perioperative and anesthesia challenges of an emerging pandemic. J Anesth 2023; 37:624-640. [PMID: 37311899 PMCID: PMC10263381 DOI: 10.1007/s00540-023-03206-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 05/22/2023] [Indexed: 06/15/2023]
Abstract
Frailty is a complex and multisystem biological process characterized by reductions in physiological reserve. It is an increasingly common phenomena in the surgical population, and significantly impacts postoperative recovery. In this review, we will discuss the pathophysiology of frailty, as well as preoperative, intraoperative, and postoperative considerations for frailty care. We will also discuss the different models of postoperative care, including enhanced recovery pathways, as well as elective critical care admission. With discoveries of new effective interventions, and advances in healthcare information technology, optimized pathways could be developed to provide the best care possible that meets the challenges of perioperative frailty.
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Affiliation(s)
- Zhaosheng Jin
- Department of Anesthesiology, Stony Brook University Health Science Center, Level 4, Room 060, Stony Brook, NY, 11794-8480, USA
| | - Joshua Rismany
- Department of Anesthesiology, Stony Brook University Health Science Center, Level 4, Room 060, Stony Brook, NY, 11794-8480, USA
| | - Christopher Gidicsin
- Department of Anesthesiology, Stony Brook University Health Science Center, Level 4, Room 060, Stony Brook, NY, 11794-8480, USA
| | - Sergio D Bergese
- Department of Anesthesiology, Stony Brook University Health Science Center, Level 4, Room 060, Stony Brook, NY, 11794-8480, USA.
- Department of Neurosurgery, Stony Brook University Health Science Center, Stony Brook, NY, 11794-8480, USA.
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Boxell EG, Malik Y, Wong J, Lee MH, Berntsson HM, Lee MJ, Bourne RS, McCullagh IJ, Hind D, Wilson MJ. Are treatment effects consistent with hypothesized mechanisms of action proposed for postoperative delirium interventions? Reanalysis of systematic reviews. J Comp Eff Res 2021; 10:1301-1315. [PMID: 34585622 DOI: 10.2217/cer-2021-0161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Postoperative delirium (POD) is associated with increased morbidity and is poorly understood. The aim of this review was to identify putative mechanisms through re-analysis of randomized trials on treatment or prevention of POD. Materials & methods: A systematic review was performed to identify systematic reviews of treatments for POD. Constituent randomized controlled trials were identified, and interventions were grouped according to hypothesized mechanisms of action. Effects were meta-analyzed by hypothesized mechanism and timing of intervention. Results: A total of 116 randomized controlled trials described 47 individual interventions for POD, with nine mechanisms identified. The largest effects were observed for postoperative inflammation reduction, and preoperative reinforcement of sleep-wake cycle. Conclusion: This approach identifies treatments focused on mechanisms of action that may be front runners for future trials and interventions.
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Affiliation(s)
- Emily G Boxell
- The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - Yuhaniz Malik
- The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - Jeyinn Wong
- The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - Min Hyung Lee
- The Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - Hannah M Berntsson
- School of Health & Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Matthew J Lee
- Department of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, S10 2RX, UK.,Academic Directorate of General Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Herries Road, Sheffield, S5 7AU, UK
| | - Richard S Bourne
- Department of Pharmacy, Sheffield Teaching Hospitals NHS Foundation Trust, Herries Road, Sheffield, S5 7AU, UK
| | - Iain J McCullagh
- Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Newcastle, NE7 7DN, UK
| | - Daniel Hind
- School of Health & Related Research, University of Sheffield, Sheffield, S1 4DA, UK
| | - Matthew J Wilson
- School of Health & Related Research, University of Sheffield, Sheffield, S1 4DA, UK
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George B, Wen X, Jaimes EA, Joy MS, Aleksunes LM. In Vitro Inhibition of Renal OCT2 and MATE1 Secretion by Antiemetic Drugs. Int J Mol Sci 2021; 22:ijms22126439. [PMID: 34208557 PMCID: PMC8234231 DOI: 10.3390/ijms22126439] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/28/2021] [Accepted: 06/01/2021] [Indexed: 01/01/2023] Open
Abstract
The organic cation transporter 2 (OCT2) and multidrug and toxin extrusion protein 1 (MATE1) mediate the renal secretion of drugs. Recent studies suggest that ondansetron, a 5-HT3 antagonist drug used to prevent nausea and vomiting, can inhibit OCT2- and MATE1-mediated transport. The purpose of this study was to test the ability of five 5-HT3 antagonist drugs to inhibit the OCT2 and MATE1 transporters. The transport of the OCT2/MATE1 probe substrate ASP+ was assessed using two models: (1) HEK293 kidney cells overexpressing human OCT2 or MATE1, and (2) MDCK cells transfected with human OCT2 and MATE1. In HEK293 cells, the inhibition of ASP+ uptake by OCT2 listed in order of potency was palonosetron (IC50: 2.6 μM) > ondansetron > granisetron > tropisetron > dolasetron (IC50: 85.4 μM) and the inhibition of ASP+ uptake by MATE1 in order of potency was ondansetron (IC50: 0.1 μM) > palonosetron = tropisetron > granisetron > dolasetron (IC50: 27.4 μM). Ondansetron (0.5–20 μM) inhibited the basolateral-to-apical transcellular transport of ASP+ up to 64%. Higher concentrations (10 and 20 μM) of palonosetron, tropisetron, and dolasetron similarly reduced the transcellular transport of ASP+. In double-transfected OCT2-MATE1 MDCK cells, ondansetron at concentrations of 0.5 and 2.5 μM caused significant intracellular accumulation of ASP+. Taken together, these data suggest that 5-HT3 antagonist drugs may inhibit the renal secretion of cationic drugs by interfering with OCT2 and/or MATE1 function.
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Affiliation(s)
- Blessy George
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA; (B.G.); (X.W.)
| | - Xia Wen
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA; (B.G.); (X.W.)
| | - Edgar A. Jaimes
- Renal Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Melanie S. Joy
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO 80045, USA;
- Cancer Center, University of Colorado, Aurora, CO 80045, USA
- Division of Renal Diseases and Hypertension, School of Medicine, University of Colorado, Aurora, CO 80045, USA
| | - Lauren M. Aleksunes
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA; (B.G.); (X.W.)
- Environmental and Occupational Health Sciences Institute, Piscataway, NJ 08854, USA
- Correspondence: ; Tel.: +1-848-445-5518; Fax: +1-732-445-0119
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Antipsychotic Drugs in Prevention of Postoperative Delirium-What Is Known in 2020? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176069. [PMID: 32825428 PMCID: PMC7503241 DOI: 10.3390/ijerph17176069] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/11/2020] [Accepted: 08/18/2020] [Indexed: 12/14/2022]
Abstract
Delirium is one of the most frequently reported neuropsychiatric complications in the perioperative period, especially in the population of elderly patients who often suffer from numerous comorbidities undergoing extensive or urgent surgery. It can affect up to 80% of patients who require hospitalization in an intensive care setting postoperatively. Delirium increases mortality, morbidity, length of hospital stay, and cost of treatment. An episode of delirium in the acute phase may lower the general quality of life and increases the risk of cognitive decline long-term. Since pharmacological treatment of delirium is not highly effective, focus of research has shifted towards developing preventive strategies. We aimed to perform a review of the topic based on the most recent literature. We conclude that, based on the available data, it seems impossible to make strong recommendations for using antipsychotic drugs in prophylaxis. Further research should answer the question what, if any, benefit patients receive from the pharmacological prevention of delirium, and which agents should be used.
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Scicutella A. The pharmacotherapeutic management of postoperative delirium: an expert update. Expert Opin Pharmacother 2020; 21:905-916. [PMID: 32156151 DOI: 10.1080/14656566.2020.1738388] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Postoperative delirium is a common sequela in older adults in the peri-operative period leading to poor outcomes with a complex pathophysiology which has led to a variety of different pharmacologic agents employed in attempts to prevent and treat this syndrome. No pharmacologic agent has been approved to treat this disorder, but this review discusses the pharmacologic strategies which have been tried based on the hypotheses of the causation of the syndrome including neurotransmitter imbalance, inflammation, and oxidative stress. AREAS COVERED Systematic reviews and meta-analyses of randomized clinical trials (RCTs) were included via search of electronic databases specifically for the terms postoperative delirium and pharmacologic treatments. With this approach, the recurrent topics of analgesia and sedation, antipsychotics, acetylcholinesterase inhibitors (AchE-Is), inflammation, and melatonin were emphasized and provided the outline for this review. EXPERT OPINION Research evidence does not support any particular agent in any of the pharmacologic classes reviewed. However, there is some potential benefit with dexmedetomidine, melatonin, and the monitoring of anesthetic agents all of which need further clinical trials to validate these conclusions. Exploration of ways to improve studies and the application of novel pharmacologic agents may offer future benefit.
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Affiliation(s)
- Angela Scicutella
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell , Hempstead, NY, USA.,Psychiatry, SUNY Health Science Center at Brooklyn - Behavioral Health , Brooklyn, NY, USA
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