scholarly journals Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis

2020 ◽  
Vol 11 (04) ◽  
pp. 650-658
Author(s):  
Sylvia Cho ◽  
Margaret Sin ◽  
Demetra Tsapepas ◽  
Leigh-Anne Dale ◽  
Syed A. Husain ◽  
...  
Keyword(s):  
Common Data Model ◽  
Transplant Recipients ◽  
Medical Outcomes ◽  
Outcomes Analysis ◽  
Kappa Score ◽  
Level Data ◽  
Source Data ◽  
Transplant Registry ◽  
Content Coverage ◽  
Heterogeneous Source

Abstract Background Improving outcomes of transplant recipients within and across transplant centers is important with the increasing number of organ transplantations being performed. The current practice is to analyze the outcomes based on patient level data submitted to the United Network for Organ Sharing (UNOS). Augmenting the UNOS data with other sources such as the electronic health record will enrich the outcomes analysis, for which a common data model (CDM) can be a helpful tool for transforming heterogeneous source data into a uniform format. Objectives In this study, we evaluated the feasibility of representing concepts from the UNOS transplant registry forms with the Observational Medical Outcomes Partnership (OMOP) CDM vocabulary to understand the content coverage of OMOP vocabulary on transplant-specific concepts. Methods Two annotators manually mapped a total of 3,571 unique concepts extracted from the UNOS registry forms to concepts in the OMOP vocabulary. Concept mappings were evaluated by (1) examining the agreement among the initial two annotators and (2) investigating the number of UNOS concepts not mapped to a concept in the OMOP vocabulary and then classifying them. A subset of mappings was validated by clinicians. Results There was a substantial agreement between annotators with a kappa score of 0.71. We found that 55.5% of UNOS concepts could not be represented with OMOP standard concepts. The majority of unmapped UNOS concepts were categorized into transplant, measurement, condition, and procedure concepts. Conclusion We identified categories of unmapped concepts and found that some transplant-specific concepts do not exist in the OMOP vocabulary. We suggest that adding these missing concepts to OMOP would facilitate further research in the transplant domain.

Adherence and medical outcomes in pediatric liver transplant recipients who transition to adult services

2007 ◽  
Vol 11 (6) ◽  
pp. 608-614 ◽  
Author(s):  
Rachel A. Annunziato ◽  
Sukru Emre ◽  
Benjamin Shneider ◽  
Codette Barton ◽  
Christina A. Dugan ◽  
...  
Keyword(s):  
Liver Transplant ◽  
Transplant Recipients ◽  
Medical Outcomes ◽  
Adult Services ◽  
Pediatric Liver ◽  
Liver Transplant Recipients ◽  
Pediatric Liver Transplant

scholarly journals Common Causes and Characteristics of Adverse Drug Reactions in Older Adults: A Retrospective Study

2020 ◽  
Author(s):  
Seong-Dae Woo ◽  
Jiwon Yoon ◽  
Go-Eun Doo ◽  
Youjin Park ◽  
Youngsoo Lee ◽  
...  
Keyword(s):  
Older Adults ◽  
Adverse Drug Reactions ◽  
Common Data Model ◽  
Drug Reactions ◽  
Medical Outcomes ◽  
Younger Patients ◽  
Iodinated Contrast ◽  
Common Causes ◽  
Aging Populations ◽  
Pharmacovigilance Center

Abstract Background Aging populations are often accompanied by comorbidity and polypharmacy, leading to increases in adverse drug reactions (ADRs). We sought to evaluate the causes and characteristics of ADRs in older Korean adults (≥ 65 years) in comparison to younger individuals (< 65 years).Methods Of 37,523 cases reported at a Korean pharmacovigilance center from 2011 to 2018, we reviewed 18,842 ADRs of certain or probable causality on the basis of WHO-UMC criteria. Subjects exposed to major culprits were extracted from cohorts transformed to the Observational Medical Outcomes Partnership Common Data Model during the study period.Results In total, 4,152 (22.0%) ADRs were reported for 3,437 older adults (mean age, 74.6 years and 57.3% female). Tramadol (rate ratio, 1.32; 95% confidence interval [CI], 1.21–1.44; P < 0.001) and fentanyl (1.49, 1.16–1.92, P = 0.002) posed higher risks of ADRs in the older adults, whereas nonsteroidal anti-inflammatory drugs (NSAIDs) (0.35, 0.30–0.40, P < 0.001) and iodinated contrast media (ICM) (0.82, 0.76–0.89, P < 0.001) posed lower risks. Ratios of serious ADRs to NSAIDs (odds ratio, 2.16; 95% CI, 1.48–3.15; P < 0.001) and ICM (2.09, 1.36–3.21, P = 0.001) were higher in the older adults than in the younger patients. Analgesics primarily elicited cutaneous ADRs in the younger patients and gastrointestinal reactions in the older adults. ICM more commonly led to anaphylaxis in the older adults than the younger patients (3.0% vs. 1.6%, P = 0.019).Conclusion For early detection of ADRs in older adults, better understanding of differences in the causes and characteristics thereof in comparison to the general population is needed.

scholarly journals Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data

2021 ◽  
Author(s):  
Vlasios K. Dimitriadis ◽  
George I. Gavriilidis ◽  
Pantelis Natsiavas
Keyword(s):  
Information Technology ◽  
Electronic Health Records ◽  
Drug Safety ◽  
Data Model ◽  
Health Data ◽  
Common Data Model ◽  
Clinical Environment ◽  
Drug Reactions ◽  
Medical Outcomes ◽  
Integrate Data

Information Technology (IT) and specialized systems could have a prominent role towards the support of drug safety processes, both in the clinical context but also beyond that. PVClinical project aims to build an IT platform, enabling the investigation of potential Adverse Drug Reactions (ADRs). In this paper, we outline the utilization of Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) and the openly available Observational Health Data Sciences and Informatics (OHDSI) software stack as part of PVClinical platform. OMOP-CDM offers the capacity to integrate data from Electronic Health Records (EHRs) (e.g., encounters, patients, providers, diagnoses, drugs, measurements and procedures) via an accepted data model. Furthermore, the OHDSI software stack provides valuable analytics tools which could be used to address important questions regarding drug safety quickly and efficiently, enabling the investigation of potential ADRs in the clinical environment.

scholarly journals LOD Development System for Medical Information Standard

2018 ◽  
Vol 7 (3.33) ◽  
pp. 225
Author(s):  
Hee-kyung Moon ◽  
Sung-kook Han ◽  
Chang-ho An
Keyword(s):  
Data Model ◽  
Medical Information ◽  
Open Data ◽  
Linked Open Data ◽  
Common Data Model ◽  
Medical Outcomes ◽  
Systematic Analysis ◽  
Development System ◽  
Observational Database

This paper describes Linked Open Data(LOD) development system and its application of medical information standard as Observational Medical Outcomes Partnership(OMOP) Common Data Model(CDM). The OMOP CDM allows for the systematic analysis of disparate observational database in each hospital. This paper describes a LOD instance development system based on SII. It can generate the application-specified instance development system automatically. Therefore, we applied by medical information standard as OMOP CDM to LOD development system. As a result, it was confirmed that there is no problem in applying to the standardization of medical information using the LOD development system.  

scholarly journals Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models (Preprint)

2020 ◽  
Author(s):  
Seungho Jeon ◽  
Jeongeun Seo ◽  
Sukyoung Kim ◽  
Jeongmoon Lee ◽  
Jong-Ho Kim ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Model ◽  
Personal Information ◽  
Health Data ◽  
Common Data Model ◽  
Patient Privacy ◽  
Medical Outcomes ◽  
Cloud Computing System ◽  
Privacy Models ◽  
Identification Strategy

BACKGROUND De-identifying personal information is critical when using personal health data for secondary research. The Observational Medical Outcomes Partnership Common Data Model (CDM), defined by the nonprofit organization Observational Health Data Sciences and Informatics, has been gaining attention for its use in the analysis of patient-level clinical data obtained from various medical institutions. When analyzing such data in a public environment such as a cloud-computing system, an appropriate de-identification strategy is required to protect patient privacy. OBJECTIVE This study proposes and evaluates a de-identification strategy that is comprised of several rules along with privacy models such as k-anonymity, l-diversity, and t-closeness. The proposed strategy was evaluated using the actual CDM database. METHODS The CDM database used in this study was constructed by the Anam Hospital of Korea University. Analysis and evaluation were performed using the ARX anonymizing framework in combination with the k-anonymity, l-diversity, and t-closeness privacy models. RESULTS The CDM database, which was constructed according to the rules established by Observational Health Data Sciences and Informatics, exhibited a low risk of re-identification: The highest re-identifiable record rate (11.3%) in the dataset was exhibited by the DRUG_EXPOSURE table, with a re-identification success rate of 0.03%. However, because all tables include at least one “highest risk” value of 100%, suitable anonymizing techniques are required; moreover, the CDM database preserves the “source values” (raw data), a combination of which could increase the risk of re-identification. Therefore, this study proposes an enhanced strategy to de-identify the source values to significantly reduce not only the highest risk in the k-anonymity, l-diversity, and t-closeness privacy models but also the overall possibility of re-identification. CONCLUSIONS Our proposed de-identification strategy effectively enhanced the privacy of the CDM database, thereby encouraging clinical research involving multiple centers.

scholarly journals GIS MODELING OF WASTE CONTAINERS’ PLACEMENT IN URBAN AREAS

2021 ◽  
Vol 47 (2) ◽  
pp. 89-95
Author(s):  
Anna Kuznietsova ◽  
Julia Gorkovchuk
Keyword(s):  
Urban Areas ◽  
Residential Buildings ◽  
Weighted Overlay ◽  
Gis Modeling ◽  
Proximity Analysis ◽  
Methodical Approach ◽  
Waste Container ◽  
Source Data ◽  
Main Instrument ◽  
Heterogeneous Source

As a result of this research, a methodical approach to the geoinformational analysis of the waste containers’ placement for the collection of municipal solid waste in urban areas according to current standards and rules for the improvement of settlements was developed. According to the current Rules of maintenance of residential buildings and adjacent territories, waste containers of all types should be installed on a concrete or asphalted site, usually with fencing made of standard reinforced concrete products or other materials with planted shrubs around the site. Moreover, container platforms on wheels should be equipped with a ramp from the roadway and a fence (curb) which is 7–10 cm high, to keep the containers from rolling off to the sides. In the process of determining the optimal locations of waste containers a database of container park was created including the register of containers, the register of platforms, and the register of trash cans was created a list of influencing factors at the data collection stage, was made a proximity analysis and data reclassification to move to a unified scale for calculations of different types and/or heterogeneous source data, and weighted overlay as the main instrument of aggregated analysis. The analysis of the results is based on comparing the location of existing waste container sites with the resulting overlapping areas.

scholarly journals Management of COVID-19 in Liver Transplant Recipients with Immunosuppressant Therapy: Experiences of an Iranian Transplant Registry

2020 ◽  
Author(s):  
Zahra Sheikhalipour ◽  
Touraj Asvadi kermani ◽  
Farzad Kakaei ◽  
Azizeh Farshbaf Khalili ◽  
Leila Vahedi
Keyword(s):  
Liver Transplantation ◽  
Liver Transplant ◽  
Organ Transplant ◽  
Immunosuppressive Drugs ◽  
Personal Hygiene ◽  
Transplant Recipients ◽  
Liver Transplants ◽  
Transplant Registry ◽  
Use Of Medical Services ◽  
Liver Transplant Recipients

Abstract Background: Following the pandemic of COVID-19 and the increased COVID-19 risk in transplant patient receptions, the authors assessed the prevalence, clinical course, and the outcome of the COVID-19 infection among liver transplant receptions. Methods: By designing and the use of researcher made questionnaire and the use of medical services, liver transplantation recipients under our center surveyed in terms of COVID-19 infection.Results: Seven patients infected with COVID-19 were identified from 265 liver transplantation recipients. The majority of patients were male and had COVID-19 despite being in-home quarantine. All patients received immunosuppressive drugs during infection with COVID-19 with no change in the routine immunosuppressive therapy. Among the identified patients, 5 recovered and 2 died. One of the dead patients, in addition to having a liver transplant, suffered brain cancer with metastasis to the lungs. Conclusion: It seems that the in liver transplants infected with COVID-19, the immunosuppressive drugs causes mild to moderate illness, and even recover from the disease.However, more evidence is needed to prove this hypothesis. It is also recommended that transplant recipients should be warned about personal hygiene and closely be monitored by organ transplant centers.

scholarly journals The Need for Psychological Rehabilitation in Lung Transplant Recipients

2020 ◽  
Vol 30 (2) ◽  
pp. 140-143
Author(s):  
Anahli Patel ◽  
Yelena Chernyak
Keyword(s):  
Lung Transplant ◽  
Psychological Intervention ◽  
Recovery Period ◽  
Psychosocial Stressors ◽  
Psychological Interventions ◽  
Transplant Recipients ◽  
Medical Outcomes ◽  
Rehabilitation Intervention ◽  
Lung Transplant Recipients ◽  
The Impact

Transplant recipients have significant psychosocial stressors due to unique posttransplant sequela that results in an increased incidence of psychopathology. Posttransplant psychological interventions, especially in lung transplant recipients, are understudied, as the focus of prior research has emphasized pretransplant interventions. However, posttransplant psychological stability affects medical outcomes. The importance of posttransplant psychological intervention is highlighted. Recommendations exist which call for attention to specific psychological domains in the posttransplant recovery period and highlight the impact of psychological rehabilitation on overall wellness and success in recovery. A novel psychological rehabilitation intervention is outlined as a response to posttransplant intervention recommendations to demonstrate implementation.

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