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Gauffin O, Brand JS, Vidlin SH, Sartori D, Asikainen S, Català M, Chalabi E, Dedman D, Danilovic A, Duarte-Salles T, García Morales MT, Hiltunen S, Jödicke AM, Lazarevic M, Mayer MA, Miladinovic J, Mitchell J, Pistillo A, Ramírez-Anguita JM, Reyes C, Rudolph A, Sandberg L, Savage R, Schuemie M, Spasic D, Trinh NTH, Veljkovic N, Vujovic A, de Wilde M, Zekarias A, Rijnbeek P, Ryan P, Prieto-Alhambra D, Norén GN. Supporting Pharmacovigilance Signal Validation and Prioritization with Analyses of Routinely Collected Health Data: Lessons Learned from an EHDEN Network Study. Drug Saf 2023; 46:1335-1352. [PMID: 37804398 PMCID: PMC10684396 DOI: 10.1007/s40264-023-01353-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2023] [Indexed: 10/09/2023]
Abstract
INTRODUCTION Individual case reports are the main asset in pharmacovigilance signal management. Signal validation is the first stage after signal detection and aims to determine if there is sufficient evidence to justify further assessment. Throughout signal management, a prioritization of signals is continually made. Routinely collected health data can provide relevant contextual information but are primarily used at a later stage in pharmacoepidemiological studies to assess communicated signals. OBJECTIVE The aim of this study was to examine the feasibility and utility of analysing routine health data from a multinational distributed network to support signal validation and prioritization and to reflect on key user requirements for these analyses to become an integral part of this process. METHODS Statistical signal detection was performed in VigiBase, the WHO global database of individual case safety reports, targeting generic manufacturer drugs and 16 prespecified adverse events. During a 5-day study-a-thon, signal validation and prioritization were performed using information from VigiBase, regulatory documents and the scientific literature alongside descriptive analyses of routine health data from 10 partners of the European Health Data and Evidence Network (EHDEN). Databases included in the study were from the UK, Spain, Norway, the Netherlands and Serbia, capturing records from primary care and/or hospitals. RESULTS Ninety-five statistical signals were subjected to signal validation, of which eight were considered for descriptive analyses in the routine health data. Design, execution and interpretation of results from these analyses took up to a few hours for each signal (of which 15-60 minutes were for execution) and informed decisions for five out of eight signals. The impact of insights from the routine health data varied and included possible alternative explanations, potential public health and clinical impact and feasibility of follow-up pharmacoepidemiological studies. Three signals were selected for signal assessment, two of these decisions were supported by insights from the routine health data. Standardization of analytical code, availability of adverse event phenotypes including bridges between different source vocabularies, and governance around the access and use of routine health data were identified as important aspects for future development. CONCLUSIONS Analyses of routine health data from a distributed network to support signal validation and prioritization are feasible in the given time limits and can inform decision making. The cost-benefit of integrating these analyses at this stage of signal management requires further research.
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Affiliation(s)
| | | | | | | | | | - Martí Català
- Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | | | - Daniel Dedman
- Clinical Practice Research Datalink (CPRD), The Medicines and Healthcare Products Regulatory Agency, London, UK
| | | | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maria Teresa García Morales
- Instituto de Investigación Sanitaria Hospital 12 de Octubre, CIBER de Epidemiología y Salud Pública, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Annika M Jödicke
- Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Milan Lazarevic
- Clinic for cardiac and transplant surgery, University Clinical Center Nis, Nis, Serbia
| | - Miguel A Mayer
- Hospital del Mar Medical Research Institute, Parc de Salut Mar, Barcelona, Spain
| | - Jelena Miladinovic
- Clinic for infectious diseases, University Clinical Center Nis, University Clinical Center Nis, Nis, Serbia
| | | | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Carlen Reyes
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | | | - Ruth Savage
- Uppsala Monitoring Centre, Uppsala, Sweden
- Department of General Practice, University of Otago, Christchurch, New Zealand
| | - Martijn Schuemie
- Epidemiology Department, Johnson & Johnson, Titusville, NJ, USA
- Department of Biostatistics, UCLA, Los Angeles, CA, USA
| | - Dimitrije Spasic
- Clinic for cardiac and transplant surgery, University Clinical Center Nis, Nis, Serbia
| | - Nhung T H Trinh
- PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Nevena Veljkovic
- Heliant Ltd, Belgrade, Serbia
- Vinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Ankica Vujovic
- Clinic for Infectious and Tropical Diseases, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Marcel de Wilde
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Peter Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Patrick Ryan
- Epidemiology Department, Johnson & Johnson, Titusville, NJ, USA
- Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA
| | - Daniel Prieto-Alhambra
- Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Daems D, Knez K, Delport F, Spasic D, Lammertyn J. Real-time PCR melting analysis with fiber optic SPR enables multiplex DNA identification of bacteria. Analyst 2017; 141:1906-11. [PMID: 26881275 DOI: 10.1039/c5an02342d] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A fiber optic surface plasmon resonance (FO-SPR) technology was developed that enables simultaneous quantification and identification of multiple DNA targets on the same platform. The bioassay was based on the hybridization/melting of DNA-coated Au nanoparticles on the FO-SPR sensor when targets are present. The multiplex concept was successfully demonstrated on two related bacteria and for detection of multiple mutations in sequences. In conclusion, FO-SPR technology shows a great potential as a next generation in vitro diagnostics tool.
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Affiliation(s)
- D Daems
- KU Leuven - University of Leuven, BIOSYST-MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium.
| | - K Knez
- KU Leuven - University of Leuven, BIOSYST-MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium.
| | - F Delport
- KU Leuven - University of Leuven, BIOSYST-MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium.
| | - D Spasic
- KU Leuven - University of Leuven, BIOSYST-MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium.
| | - J Lammertyn
- KU Leuven - University of Leuven, BIOSYST-MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium.
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Bogdanovic L, Radojevic-Skodric S, Lazic M, Bogdanovic J, Spasic D, Milenkovic S, Puskas L, Basta-Jovanovic G. Immunohistochemical detection of cyclin E in transitional cell carcinoma. J BUON 2011; 16:727-732. [PMID: 22331729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
PURPOSE It is known that expression disorders of cell cycle regulators play an important role in the development and prognosis of various malignant tumors. Cyclin expression changes during the cell cycle. This work aimed to analyse the expression of cyclin E in transitional cell carcinoma (TCC) and also to compare the expression of cyclin E with tumor stage and histological grade as well as to determine possible existence of differences in the expression of cyclin E in TCCs of the upper and lower urothelium. METHODS Twenty-four cases of TCC of the urinary tract were retrospectively analysed (6 cancers of the renal pelvis, 2 of the ureter and 15 of the bladder; 4 were infiltrative). Immunohistochemical staining for cyclin E of the analysed transitional cancer cells was assessed semiquantitatively: diffuse cyclin E expression + + + (> 50% of all cells), expression in larger groups of cells: + + (up to 50% of all cells), expression in individual cells or small cell clusters: + (<10% of all cells), and absence of expression. Tumor stage was based on clinical and morphological criteria. WHO classification (Lyon 2004) was used for determination of the histological grade. RESULTS Non-parametric Spearman's correlation showed that there was no statistically significant correlation between tumor stage and expression of cyclin E (ρ = -0331, p> 0.05). Also, no statistically significant correlation between grade and the expression of cyclin E (ρ = -0077, p> 0.05) was found. x2 test results showed no statistically significant difference (x2 = 2.136, p = 0.775) in the expression of cyclin E between upper and lower urothelium. CONCLUSION This study showed non significant decreased expression of cyclin E with poor differentiation, muscle invasion and upper/lower urothelium. Expression of cyclin E decreased with increasing histological grade and stage of the tumor.
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Affiliation(s)
- Lj Bogdanovic
- Institute of Pathology, School of Medicine, University of Belgrade, Serbia.
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Kwok S, Kellogg DE, McKinney N, Spasic D, Goda L, Levenson C, Sninsky JJ. Effects of primer-template mismatches on the polymerase chain reaction: human immunodeficiency virus type 1 model studies. Nucleic Acids Res 1990; 18:999-1005. [PMID: 2179874 PMCID: PMC330356 DOI: 10.1093/nar/18.4.999] [Citation(s) in RCA: 777] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
We investigated the effects of various primer-template mismatches on DNA amplification of an HIV-1 gag region by the polymerase chain reaction (PCR). Single internal mismatches had no significant effect on PCR product yield while those at the 3'-terminal base had varied effects. A:G, G:A, and C:C mismatches reduced overall PCR product yield about 100-fold, A:A mismatches about 20-fold. All other 3'-terminal mismatches were efficiently amplified, although the G:G mismatches appeared to be more sensitive to sequence context and dNTP concentrations than other mismatches. It should be noted that mismatches of T with either G, C, or T had a minimal effect on PCR product yield. Double mismatches within the last four bases of a primer-template duplex where one of the mismatches is at the 3' terminal nucleotide, in general, reduced PCR product yield dramatically. The presence of a mismatched T at the 3'-terminus, however, allowed significant amplification even when coupled with an adjacent mismatch. Furthermore, even two mismatched Ts at the 3'-terminus allowed efficient amplification.
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Affiliation(s)
- S Kwok
- Department of Infectious Diseases, Cetus Corporation, Emeryville, CA
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