메뉴 건너뛰기




Volumn 39, Issue 1, 2016, Pages 45-57

Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT; ANTINEOPLASTIC AGENT; ANTIPARASITIC AGENT; ATENOLOL; CARBOPLATIN; CARDIOVASCULAR AGENT; CARVEDILOL; CENTRAL NERVOUS SYSTEM AGENTS; CISPLATIN; CYCLOPHOSPHAMIDE; DERMATOLOGICAL AGENT; DIGOXIN; GASTROINTESTINAL AGENT; GEMFIBROZIL; GLIMEPIRIDE; HORMONE DERIVATIVE; RESPIRATORY TRACT AGENT; SIMVASTATIN; SPIRONOLACTONE; THALIDOMIDE; URINARY TRACT AGENT; WARFARIN;

EID: 84954364324     PISSN: 01145916     EISSN: 11791942     Source Type: Journal    
DOI: 10.1007/s40264-015-0352-2     Document Type: Article
Times cited : (30)

References (43)
  • 1
    • 0035291754 scopus 로고    scopus 로고
    • Drug-related morbidity and mortality: updating the cost-of-illness model
    • COI: 1:STN:280:DC%2BD3M3mvFOhtA%3D%3D
    • Ernst FR, Grizzle AJ. Drug-related morbidity and mortality: updating the cost-of-illness model. J Am Pharm Assoc (Wash, DC 1996). 2001;41(2):192–9.
    • (2001) J Am Pharm Assoc (Wash, DC 1996) , vol.41 , Issue.2 , pp. 192-199
    • Ernst, F.R.1    Grizzle, A.J.2
  • 2
    • 85018041812 scopus 로고    scopus 로고
    • HCUP National Emergency Department Sample (NEDS) - HCUP Statistical Brief #109
    • Lucado J PK, Elixhauser A. HCUP National Emergency Department Sample (NEDS) - HCUP Statistical Brief #109. Agency for Healthcare Research and Quality. 2012. http://psnet.ahrq.gov/resource.aspx?resourceID=21786
    • (2012) Agency for Healthcare Research and Quality
    • Lucado, J.P.K.1    Elixhauser, A.2
  • 4
    • 84865304708 scopus 로고    scopus 로고
    • Typical drug interactions in oncology
    • Kiran P. Typical drug interactions in oncology. US Pharm. 2011;36(1):7–9.
    • (2011) US Pharm , vol.36 , Issue.1 , pp. 7-9
    • Kiran, P.1
  • 5
    • 68249162213 scopus 로고    scopus 로고
    • Predicting drug–drug interactions: an FDA perspective
    • PID: 19418230, COI: 1:CAS:528:DC%2BD1MXhtVWqs7rL
    • Zhang L, Zhang Y, Zhao P, Huang S-M. Predicting drug–drug interactions: an FDA perspective. AAPS J. 2009;11(2):300–6.
    • (2009) AAPS J , vol.11 , Issue.2 , pp. 300-306
    • Zhang, L.1    Zhang, Y.2    Zhao, P.3    Huang, S.-M.4
  • 6
    • 68049117227 scopus 로고    scopus 로고
    • Spontaneous haematoma of the pharynx due to a rare drug interaction
    • PID: 19918308, COI: 1:STN:280:DC%2BD1MjmsValug%3D%3D
    • Triaridis S, Tsiropoulos G, Rachovitsas D, Psillas G, Vital V. Spontaneous haematoma of the pharynx due to a rare drug interaction. Hippokratia. 2009;13(3):175–7.
    • (2009) Hippokratia , vol.13 , Issue.3 , pp. 175-177
    • Triaridis, S.1    Tsiropoulos, G.2    Rachovitsas, D.3    Psillas, G.4    Vital, V.5
  • 7
    • 65349157361 scopus 로고    scopus 로고
    • Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study
    • PID: 19261932
    • Wang X, Hripcsak G, Markatou M, Friedman C. Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. J Am Med Inform Assoc JAMIA. 2009;16(3):328–37.
    • (2009) J Am Med Inform Assoc JAMIA , vol.16 , Issue.3 , pp. 328-337
    • Wang, X.1    Hripcsak, G.2    Markatou, M.3    Friedman, C.4
  • 8
    • 78951492723 scopus 로고    scopus 로고
    • Biclustering of adverse drug events in FDA’s spontaneous reporting system
    • PID: 21191383, COI: 1:STN:280:DC%2BC3M7ivFKisQ%3D%3D
    • Harpaz R, Perez H, Chase HS, Rabadan R, Hripcsak G, Friedman C. Biclustering of adverse drug events in FDA’s spontaneous reporting system. Clin Pharmacol Ther. 2011;89(2):243–50.
    • (2011) Clin Pharmacol Ther , vol.89 , Issue.2 , pp. 243-250
    • Harpaz, R.1    Perez, H.2    Chase, H.S.3    Rabadan, R.4    Hripcsak, G.5    Friedman, C.6
  • 9
    • 84864128230 scopus 로고    scopus 로고
    • Detection of pharmacovigilance-related adverse events using electronic health records and automated methods
    • PID: 22713699, COI: 1:STN:280:DC%2BC38jjtFGqsw%3D%3D
    • Haerian K, Varn D, Vaidya S, Ena L, Chase HS, Friedman C. Detection of pharmacovigilance-related adverse events using electronic health records and automated methods. Clin Pharmacol Ther. 2012;92(2):228–34.
    • (2012) Clin Pharmacol Ther , vol.92 , Issue.2 , pp. 228-234
    • Haerian, K.1    Varn, D.2    Vaidya, S.3    Ena, L.4    Chase, H.S.5    Friedman, C.6
  • 11
    • 84899409127 scopus 로고    scopus 로고
    • Annotation analysis for testing drug safety signals using unstructured clinical notes
    • Lependu P, Iyer SV, Fairon C, Shah NH. Annotation analysis for testing drug safety signals using unstructured clinical notes. J Biomed Semant. 2012;3(Suppl 1):S5.
    • (2012) J Biomed Semant , vol.3 , pp. 5
    • Lependu, P.1    Iyer, S.V.2    Fairon, C.3    Shah, N.H.4
  • 12
    • 84876692093 scopus 로고    scopus 로고
    • Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
    • PID: 23161894
    • Liu M, McPeek Hinz ER, Matheny ME, Denny JC, Schildcrout JS, Miller RA, et al. Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. J Am Med Inform Assoc. 2013; 20(3):420–6. doi:10.1136/amiajnl-2012-001119.
    • (2013) J Am Med Inform Assoc. , vol.20 , Issue.3 , pp. 420-426
    • Liu, M.1    McPeek Hinz, E.R.2    Matheny, M.E.3    Denny, J.C.4    Schildcrout, J.S.5    Miller, R.A.6
  • 13
    • 67649304917 scopus 로고    scopus 로고
    • Use of a claims-based active drug safety surveillance system to assess the risk of acute pancreatitis with exenatide or sitagliptin compared to metformin or glyburide
    • PID: 19278373, COI: 1:CAS:528:DC%2BD1MXjsFylurk%3D
    • Dore DD, Seeger JD, Arnold Chan K. Use of a claims-based active drug safety surveillance system to assess the risk of acute pancreatitis with exenatide or sitagliptin compared to metformin or glyburide. Curr Med Res Opin. 2009;25(4):1019–27.
    • (2009) Curr Med Res Opin , vol.25 , Issue.4 , pp. 1019-1027
    • Dore, D.D.1    Seeger, J.D.2    Arnold Chan, K.3
  • 14
    • 78650495544 scopus 로고    scopus 로고
    • Drug safety surveillance using de-identified EMR and claims data: issues and challenges
    • PID: 20962129
    • Nadkarni PM. Drug safety surveillance using de-identified EMR and claims data: issues and challenges. J Am Med Inform Assoc JAMIA. 2010;17(6):671–4.
    • (2010) J Am Med Inform Assoc JAMIA , vol.17 , Issue.6 , pp. 671-674
    • Nadkarni, P.M.1
  • 15
    • 80053254385 scopus 로고    scopus 로고
    • Using information mining of the medical literature to improve drug safety
    • PID: 21546507
    • Shetty KD, Dalal S. Using information mining of the medical literature to improve drug safety. J Am Med Inform Assoc. 2011; 18(5):668–674. doi:10.1136/amiajnl-2011-000096.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.5 , pp. 668-674
    • Shetty, K.D.1    Dalal, S.2
  • 16
    • 84866067701 scopus 로고    scopus 로고
    • Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions
    • PID: 22912565, COI: 1:CAS:528:DC%2BC38Xht1Srs7fE
    • Duke JD, Han X, Wang Z, Subhadarshini A, Karnik SD, Li X, et al. Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions. PLoS Comput Biol. 2012;8(8):e1002614.
    • (2012) PLoS Comput Biol , vol.8 , Issue.8 , pp. 1002614
    • Duke, J.D.1    Han, X.2    Wang, Z.3    Subhadarshini, A.4    Karnik, S.D.5    Li, X.6
  • 17
    • 84864231551 scopus 로고    scopus 로고
    • INDI: a computational framework for inferring drug interactions and their associated recommendations
    • PID: 22806140
    • Gottlieb A, Stein GY, Oron Y, Ruppin E, Sharan R. INDI: a computational framework for inferring drug interactions and their associated recommendations. Mol Syst Biol. 2012;8:592.
    • (2012) Mol Syst Biol , vol.8 , pp. 592
    • Gottlieb, A.1    Stein, G.Y.2    Oron, Y.3    Ruppin, E.4    Sharan, R.5
  • 20
    • 78049477630 scopus 로고    scopus 로고
    • Mining multi-item drug adverse effect associations in spontaneous reporting systems
    • Harpaz R, Chase HS, Friedman C. Mining multi-item drug adverse effect associations in spontaneous reporting systems. BMC Bioinform. 2010;11(Suppl 9):S7-S.
    • (2010) BMC Bioinform , vol.11
    • Harpaz, R.1    Chase, H.S.2    Friedman, C.3
  • 21
    • 82055197319 scopus 로고    scopus 로고
    • Adverse event profiles of 5-fluorouracil and capecitabine: data mining of the public version of the FDA adverse event reporting system, aers, and reproducibility of clinical observations
    • PID: 22211087, COI: 1:CAS:528:DC%2BC38Xoslym
    • Kadoyama K, Miki I, Tamura T, Brown JB, Sakaeda T, Okuno Y. Adverse event profiles of 5-fluorouracil and capecitabine: data mining of the public version of the FDA adverse event reporting system, aers, and reproducibility of clinical observations. Int J Med Sci. 2012;9(1):33–9.
    • (2012) Int J Med Sci , vol.9 , Issue.1 , pp. 33-39
    • Kadoyama, K.1    Miki, I.2    Tamura, T.3    Brown, J.B.4    Sakaeda, T.5    Okuno, Y.6
  • 22
    • 84856805878 scopus 로고    scopus 로고
    • A novel signal detection algorithm for identifying hidden drug–drug interactions in adverse event reports
    • PID: 21676938
    • Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug–drug interactions in adverse event reports. J Am Med Inform Assoc JAMIA. 2012;19(1):79–85.
    • (2012) J Am Med Inform Assoc JAMIA , vol.19 , Issue.1 , pp. 79-85
    • Tatonetti, N.P.1    Fernald, G.H.2    Altman, R.B.3
  • 23
    • 34548608965 scopus 로고    scopus 로고
    • Detecting signals of drug–drug interactions in a spontaneous reports database
    • PID: 17506784, COI: 1:CAS:528:DC%2BD2sXht1Srt7rN
    • Thakrar BT, Grundschober SB, Doessegger L. Detecting signals of drug–drug interactions in a spontaneous reports database. Br J Clin Pharmacol. 2007;64(4):489–95.
    • (2007) Br J Clin Pharmacol , vol.64 , Issue.4 , pp. 489-495
    • Thakrar, B.T.1    Grundschober, S.B.2    Doessegger, L.3
  • 24
    • 0034469565 scopus 로고    scopus 로고
    • Detecting drug–drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and non-steroidal anti-inflammatory drugs
    • PID: 11214785
    • van Puijenbroek EP, Egberts AC, Heerdink ER, Leufkens HG. Detecting drug–drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and non-steroidal anti-inflammatory drugs. Eur J Clin Pharmacol. 2000;56(9–10):733–8.
    • (2000) Eur J Clin Pharmacol , vol.56 , Issue.9-10 , pp. 733-738
    • van Puijenbroek, E.P.1    Egberts, A.C.2    Heerdink, E.R.3    Leufkens, H.G.4
  • 27
    • 84874766004 scopus 로고    scopus 로고
    • Detection of drug–drug interactions by modeling interaction profile fingerprints
    • PID: 23520498, COI: 1:CAS:528:DC%2BC3sXks1ymtr4%3D
    • Vilar S, Uriarte E, Santana L, Tatonetti NP, Friedman C. Detection of drug–drug interactions by modeling interaction profile fingerprints. PLoS One. 2013;8(3):e58321.
    • (2013) PLoS One , vol.8 , Issue.3 , pp. 58321
    • Vilar, S.1    Uriarte, E.2    Santana, L.3    Tatonetti, N.P.4    Friedman, C.5
  • 28
    • 84907027073 scopus 로고    scopus 로고
    • Similarity-based modeling in large-scale prediction of drug–drug interactions
    • PID: 25122524, COI: 1:CAS:528:DC%2BC2cXhtlGntb3L
    • Vilar S, Uriarte E, Santana L, Lorberbaum T, Hripcsak G, Friedman C, et al. Similarity-based modeling in large-scale prediction of drug–drug interactions. Nat Protoc. 2014;9(9):2147–63.
    • (2014) Nat Protoc , vol.9 , Issue.9 , pp. 2147-2163
    • Vilar, S.1    Uriarte, E.2    Santana, L.3    Lorberbaum, T.4    Hripcsak, G.5    Friedman, C.6
  • 29
    • 84864204553 scopus 로고    scopus 로고
    • Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitis
    • PID: 22911794, COI: 1:CAS:528:DC%2BC38XhtFWitr7L
    • Vilar S, Harpaz R, Santana L, Uriarte E, Friedman C. Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitis. PLoS One. 2012;7(7):e41471.
    • (2012) PLoS One , vol.7 , Issue.7 , pp. 41471
    • Vilar, S.1    Harpaz, R.2    Santana, L.3    Uriarte, E.4    Friedman, C.5
  • 30
    • 84863548955 scopus 로고    scopus 로고
    • Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs
    • PID: 22718037
    • Liu M, Wu Y, Chen Y, Sun J, Zhao Z, X-w Chen, et al. Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. J Am Med Inform Assoc JAMIA. 2012;19(e1):e28–35.
    • (2012) J Am Med Inform Assoc JAMIA , vol.19 , Issue.e1 , pp. 28-35
    • Liu, M.1    Wu, Y.2    Chen, Y.3    Sun, J.4    Zhao, Z.5    X-w, C.6
  • 33
    • 84879988282 scopus 로고    scopus 로고
    • Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU–ADR project
    • PID: 23195749
    • Avillach P, Dufour J-C, Diallo G, Salvo F, Joubert M, Thiessard F, et al. Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU–ADR project. J Am Med Inform Assoc JAMIA. 2013;20(3):446–52.
    • (2013) J Am Med Inform Assoc JAMIA , vol.20 , Issue.3 , pp. 446-452
    • Avillach, P.1    Dufour, J.-C.2    Diallo, G.3    Salvo, F.4    Joubert, M.5    Thiessard, F.6
  • 34
    • 84876431695 scopus 로고    scopus 로고
    • pharmacointeraction network models predict unknown drug–drug interactions
    • PID: 23620757, COI: 1:CAS:528:DC%2BC3sXntVWjs7c%3D
    • Cami A, Manzi S, Arnold A, Reis BY. pharmacointeraction network models predict unknown drug–drug interactions. PLoS One. 2013;8(4):e61468.
    • (2013) PLoS One , vol.8 , Issue.4 , pp. 61468
    • Cami, A.1    Manzi, S.2    Arnold, A.3    Reis, B.Y.4
  • 35
    • 84954371835 scopus 로고    scopus 로고
    • Organization WH. Anatomical Therapeutic Chemical (ATC) classification system [cited 2015 May 1st]. Accessed 1 May 2015
    • Organization WH. Anatomical Therapeutic Chemical (ATC) classification system [cited 2015 May 1st]. http://www.whocc.no/atc/structure_and_principles/. Accessed 1 May 2015.
  • 36
    • 84930706290 scopus 로고    scopus 로고
    • Toward a complete dataset of drug–drug interaction information from publicly available sources
    • PID: 25917055
    • Ayvaz S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, et al. Toward a complete dataset of drug–drug interaction information from publicly available sources. J Biomed Inform. 2015;55:206–17.
    • (2015) J Biomed Inform , vol.55 , pp. 206-217
    • Ayvaz, S.1    Horn, J.2    Hassanzadeh, O.3    Zhu, Q.4    Stan, J.5    Tatonetti, N.P.6
  • 37
    • 84954372534 scopus 로고    scopus 로고
    • Index R-TID. Drug interactions with atenolol oral and spironolactone oral [cited 2015 August 10th]. Accessed 10 Aug 2015
    • Index R-TID. Drug interactions with atenolol oral and spironolactone oral [cited 2015 August 10th]. http://www.rxlist.com/drug-interactions/atenolol-oral-and-spironolactone-oral-interaction.htm. Accessed 10 Aug 2015.
  • 38
    • 84954404762 scopus 로고    scopus 로고
    • Information e-Ph. Review: taking Spironolactone and Atenolol together [cited 2015 August 10th]. Available from:. Accessed 10 Aug 2015
    • Information e-Ph. Review: taking Spironolactone and Atenolol together [cited 2015 August 10th]. Available from: http://www.ehealthme.com/drug-interactions/atenolol-and-spironolactone. Accessed 10 Aug 2015.
  • 39
    • 84954399620 scopus 로고    scopus 로고
    • Information e-Ph. From FDA reports: drug interactions between Glimepiride, Spironolactone for a female patient aged 73 [cited 2015 August 10th]. Accessed 10 Aug 2015
    • Information e-Ph. From FDA reports: drug interactions between Glimepiride, Spironolactone for a female patient aged 73 [cited 2015 August 10th]. http://www.ehealthme.com/Spironolactone-Glimepiride-3847893. Accessed 10 Aug 2015.
  • 40
    • 0036096796 scopus 로고    scopus 로고
    • Rhabdomyolysis after concomitant use of cyclosporine, simvastatin, gemfibrozil, and itraconazole
    • PID: 11978159
    • Maxa JL, Melton LB, Ogu CC, Sills MN, Limanni A. Rhabdomyolysis after concomitant use of cyclosporine, simvastatin, gemfibrozil, and itraconazole. Ann Pharmacother. 2002;36(5):820–3.
    • (2002) Ann Pharmacother , vol.36 , Issue.5 , pp. 820-823
    • Maxa, J.L.1    Melton, L.B.2    Ogu, C.C.3    Sills, M.N.4    Limanni, A.5
  • 42
    • 84925482075 scopus 로고    scopus 로고
    • Consensus recommendations for systematic evaluation of drug–drug interaction evidence for clinical decision support
    • PID: 25556085, COI: 1:CAS:528:DC%2BC2MXjtFeitrs%3D
    • Scheife R, Hines L, Boyce R, Chung S, Momper J, Sommer C, et al. Consensus recommendations for systematic evaluation of drug–drug interaction evidence for clinical decision support. Drug Saf. 2015;38(2):197–206.
    • (2015) Drug Saf , vol.38 , Issue.2 , pp. 197-206
    • Scheife, R.1    Hines, L.2    Boyce, R.3    Chung, S.4    Momper, J.5    Sommer, C.6
  • 43
    • 84906313665 scopus 로고    scopus 로고
    • Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest
    • PID: 24985530, COI: 1:CAS:528:DC%2BC2cXhtV2jur7M
    • Boyce RD, Ryan PB, Norén GN, Schuemie MJ, Reich C, Duke J, et al. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014;37(8):557–67.
    • (2014) Drug Saf , vol.37 , Issue.8 , pp. 557-567
    • Boyce, R.D.1    Ryan, P.B.2    Norén, G.N.3    Schuemie, M.J.4    Reich, C.5    Duke, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.