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Validating pathophysiological models of aging using clinical electronic medical records

David P. Chen, Alexander A. Morgan, Atul J. Butte
2010 Journal of Biomedical Informatics  
In order to address this, we built regression models predictive of adolescent chronological age from 2001 to 2002 National Health and Nutrition Examination Survey (NHANES) data and validated them against  ...  The utility of predictive aging models generated from cross-sectional cohorts and their applicability to separate populations, including the clinical population, has yet to be completely explored.  ...  We thank Susan Weber, Todd Ferris, and Henry Lowe for providing us with de-identified clinical data. This work was funded by the Lucile Packard Foundation for Children's Health, the William R.  ... 
doi:10.1016/j.jbi.2009.11.007 pmid:19958842 pmcid:PMC2878870 fatcat:6qmygj2o2rh2jby57yrbu2pz34

Identification of Genomic Predictors of Atrioventricular Conduction: Using Electronic Medical Records as a Tool for Genome Science

J. C. Denny, M. D. Ritchie, D. C. Crawford, J. S. Schildcrout, A. H. Ramirez, J. M. Pulley, M. A. Basford, D. R. Masys, J. L. Haines, D. M. Roden
2010 Circulation  
This study is one of the first replication genome-wide association studies performed with the use of an electronic medical records-derived cohort, supporting their further use for genotype-phenotype analyses  ...  The extent to which this can be demonstrated in cohorts derived from electronic medical records is unknown.  ...  Sources of Funding This study was funded by grant U01 HG04603 (VGER: Vanderbilt Genome-Electronic Records Project), a node in the National Human Genome Research Institute-supported eMERGE network.  ... 
doi:10.1161/circulationaha.110.948828 pmid:21041692 pmcid:PMC2991609 fatcat:hamzhkdvxncjnfk3iixbhzulwa

Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers

Konrad Pieszko, Jarosław Hiczkiewicz, Paweł Budzianowski, Jan Budzianowski, Janusz Rzeźniczak, Karolina Pieszko, Paweł Burchardt
2019 Disease Markers  
We obtained the study data from the electronic medical records of 5053 patients hospitalized with acute coronary syndrome during a 5-year period. The time of follow-up ranged from 12 to 72 months.  ...  A machine-learned model which uses the abovementioned parameters can provide long-term predictions of accuracy comparable or superior to well-validated risk scores.  ...  However, they were informed about it and had no objections to us sharing the source code of our implementation.  ... 
doi:10.1155/2019/9056402 pmid:30838085 pmcid:PMC6374871 fatcat:h5ozxsmca5hvfgbcydu42qbzju

Development of prediction model for trauma assessment using electronic medical records [article]

Kentaro Ogura, Tadahiro Goto, Toru Shirakawa, Tomohiro Sonoo, Hidehiko Nakano, Kensuke Nakamura
2020 medRxiv   pre-print
In this study, we developed a mortality prediction model of trauma patients using the data from electronic medical records and compared it with a model using AIS/ISS scores.  ...  Our study suggests that a trauma severity index calculated by the predicting model using information from electronic medical records might replace AIS/ISS score.  ...  To address these issues, studies suggest that the use of electronic medical records for predicting the prognosis of patients with trauma.  ... 
doi:10.1101/2020.08.18.20176180 fatcat:bcmexm5zqvaixd7kispwnjrsci

Pharmacogenomics: a key component of personalized therapy

Matthias Schwab, Elke Schaeffeler
2012 Genome Medicine  
Abbreviations EHR, electronic health record; EMR, electronic medical record; iPOP, integrative personal omics profile.  ...  In this context, electronic medical records (EMRs) and electronic health records (EHRs) may play a pivotal role.  ...  , age and/or concomitant medication [1] .  ... 
doi:10.1186/gm394 pmid:23194652 pmcid:PMC3580426 fatcat:rjrv2iwo4bgixifxp6x5voopre

Disease Models & Mechanisms in the Age of Big Data

Antonis K. Hatzopoulos
2019 Disease Models & Mechanisms  
Recent examples of synergistic approaches utilizing animal modeling and electronic medical records mining show that combining efforts between disease models and clinical datasets can uncover not only disease  ...  And, to what extent is disease modeling in the laboratory still relevant to medical research?  ...  Although the use of clinical data to assess the putative significance in human disease of a mechanism that was discovered in an animal model is expected, analyzing clinical records also has the potential  ... 
doi:10.1242/dmm.041699 pmid:31439575 pmcid:PMC6737960 fatcat:gyfgrkxkbvgohgtge2frmivlmy

Bi-directional association between depression and HF: An electronic health records-based cohort study

William V Bobo, Euijung Ryu, Tanya M Petterson, Kandace Lackore, Yijing Cheng, Hongfang Liu, Laura Suarez, Martin Preisig, Leslie T Cooper, Veronique L Roger, Jyotishman Pathak, Alanna M Chamberlain
2020 Journal of Comorbidity  
The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions.  ...  records (EHRs).  ...  Acknowledgement We are indebted to Richard S Pendegraft, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA, for his invaluable assistance with the electronic extraction of data needed  ... 
doi:10.1177/2235042x20984059 pmid:33489926 pmcid:PMC7768856 fatcat:ivkq6kgeinfrbakvq5fyef42ru

Derivation of Candidate Clinical Decision Rules to Identify Infants at Risk for Central Apnea

P. Walsh, P. Cunningham, S. Merchant, N. Walker, J. Heffner, L. Shanholtzer, S. J. Rothenberg
2015 Pediatrics  
Our RF models offer the greatest specificity, but would require either integration into an electronic medical record or Web page to facilitate widespread use.  ...  We anticipate that FIGURE 3 Candidate clinical decision rules. e1232 electronic medical record-based CDRs to predict central apnea could be used in some clinical settings and we have derived our candidate  ... 
doi:10.1542/peds.2015-1825 pmid:26482666 pmcid:PMC4621801 fatcat:3tmtgmdmdzbclmxrbb3wpnsfr4

Renin Angiotensin Aldosterone System Modulates Blood Pressure Response During Vascular Endothelial Growth Factor Receptor Inhibition

Wendy J. Bottinor, Megan M. Shuey, Ali Manouchehri, Eric H. Farber-Eger, Meng Xu, Devika Nair, Joe-Elie Salem, Thomas J. Wang, Evan L. Brittain
2019 JACC CardioOncology  
This retrospective cohort analysis was performed using a de-identified version of the electronic health record at Vanderbilt University Medical Center in Nashville, Tennessee.  ...  VEGFi therapy is commonly used in the treatment of cancer. One common side effect of VEGFi therapy is elevated blood pressure.  ...  our subject size, use of a previously validated database, and medication extraction programming.  ... 
doi:10.1016/j.jaccao.2019.07.002 pmid:32984850 pmcid:PMC7513950 fatcat:aumi5dwh2zcprfd3zrto5kclye

Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record

Jason Walonoski, Mark Kramer, Joseph Nichols, Andre Quina, Chris Moesel, Dylan Hall, Carlton Duffett, Kudakwashe Dube, Thomas Gallagher, Scott McLachlan
2017 JAMIA Journal of the American Medical Informatics Association  
To close these gaps, developers require access to large repositories of high-quality health datasets for a range of secondary uses that have no clinical or medical implications, including software development  ...  Objective: Our objective is to create a source of synthetic electronic health records that is readily available; suited to industrial, innovation, research, and educational uses; and free of legal, privacy  ...  Model validation Comprehensive and rigorous module and clinical validation Medication adherence Journal of the American Medical Informatics Association, 2018, Vol. 25, No. 3 Downloaded  ... 
doi:10.1093/jamia/ocx079 pmid:29025144 fatcat:e5lrd3cnsrhizfzy3jn7of3eyq

Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students

David Roy Warriner, Martin Bayley, Yubing Shi, Patricia Victoria Lawford, Andrew Narracott, John Fenner
2017 BMC Medical Education  
The model outputs were used to characterise the progression of key disease processes and allowed students to classify disease severity with the aim of improving their understanding of abnormal physiology  ...  This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding key physiological  ...  Acknowledgments Not applicable Availability of data and materials All parameters used for the model, how to access the model used it self, the e-learning platform, the questions used to assess knowledge  ... 
doi:10.1186/s12909-017-1058-1 pmid:29157229 pmcid:PMC5697416 fatcat:57axg2p335g5dnaenz6gaczija

Clinical Summaries: Original Research Put Into Perspective for the Practicing Clinician

2010 Circulation  
This study is one of the first to validate use of an electronic medical records-derived cohort of genome-wide analysis, supporting their further use for genotype-phenotype analysis. See p 2016.  ...  the electronic medical record.  ...  Clinical Summaries: Original Research Put Into Perspective for the Practicing Clinician  ... 
doi:10.1161/cir.0b013e3181fc2051 fatcat:wfletkzo5jh3lefgnxrfrsivoi

Informatics Infrastructure for Syndrome Surveillance, Decision Support, Reporting, and Modeling of Critical Illness

Vitaly Herasevich, Brian W. Pickering, Yue Dong, Steve G. Peters, Ognjen Gajic
2010 Mayo Clinic proceedings  
METHODS: Using open-schema data feeds imported from electronic medical records (EMRs), we developed a near-real-time relational database (Multidisciplinary Epidemiology and Translational Research in Intensive  ...  OBJECTIVE: To develop and validate an informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.  ...  Electronic medical records are becoming integral components of health care services and soon will likely replace established paper-based medical records.  ... 
doi:10.4065/mcp.2009.0479 pmid:20194152 pmcid:PMC2843116 fatcat:66tmrrsdkfb4lgnglchvdpsnpy

Prognostic Utility of Estimated Pulmonary Dead Space to Tidal Volume Fraction in Patients With COVID-19 Respiratory Failure Treated With Invasive Mechanical Ventilation

Robert L. Vender, David C. Frankenfield, Paula A. Valencia-Moulton, Erik B. Lehman
2021 Clinical Infection and Immunity  
The objective of this study was to evaluate the association of Vd/Vt calculations utilizing a validated equation using clinically available data with mortality in patients with severe COV-ID-19 lung disease  ...  Methods: Calculations of Vd/Vt were obtained based upon equation for dead space ventilation fraction (Vd/Vt = 0.320 + 0.0106 (PaCO 2 -ETCO 2 ) + (0.003 × RR) + (0.0015 × age)) on patients with RT-PCRconfirmed  ...  Calculations of Vd/Vt using the validated prediction equation were obtained using all available ABG analyses with specific measurement of PaCO 2 in mm Hg and using the electronic medical record (EMR) recordings  ... 
doi:10.14740/cii126 fatcat:uh73gn63jbf2xkqo5ihwvse4dm

Development and Validation of Risk Prediction Model for New-Onset Diabetes After Percutaneous Coronary Intervention (NODAP): A Study Protocol for a Retrospective, Multicenter Analysis

Yiwen Li, Jing Cui, Yanfei Liu, Keji Chen, Luqi Huang, Yue Liu
2021 Frontiers in Cardiovascular Medicine  
Clinical medical records of these patients were collected from four hospitals in different areas in China, from 2010 to 2021.  ...  The prediction model will be verified by a validation set.Discussion: A novel diabetes prediction model for patients after PCI is established, and this study can achieve advanced intervention for the occurrence  ...  ACKNOWLEDGMENTS The authors want to thank Yikang Medical Technology Co., Ltd, Beijing for database maintenance. No patients or patient advisers were directly involved in the study.  ... 
doi:10.3389/fcvm.2021.748256 pmid:34708095 pmcid:PMC8542850 fatcat:cjfvmojxavftzajabzis4vku2q
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