1
|
Klopotowska JE, Leopold JH, Bakker T, Yasrebi-de Kom I, Engelaer FM, de Jonge E, Haspels-Hogervorst EK, van den Bergh WM, Renes MH, Jong BTD, Kieft H, Wieringa A, Hendriks S, Lau C, van Bree SHW, Lammers HJW, Wierenga PC, Bosman RJ, de Jong VM, Slijkhuis M, Franssen EJF, Vermeijden WJ, Masselink J, Purmer IM, Bosma LE, Hoeksema M, Wesselink E, de Lange DW, de Keizer NF, Dongelmans DA, Abu-Hanna A. Adverse drug events caused by three high-risk drug-drug interactions in patients admitted to intensive care units: A multicentre retrospective observational study. Br J Clin Pharmacol 2024; 90:164-175. [PMID: 37567767 DOI: 10.1111/bcp.15882] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 08/13/2023] Open
Abstract
AIMS Knowledge about adverse drug events caused by drug-drug interactions (DDI-ADEs) is limited. We aimed to provide detailed insights about DDI-ADEs related to three frequent, high-risk potential DDIs (pDDIs) in the critical care setting: pDDIs with international normalized ratio increase (INR+ ) potential, pDDIs with acute kidney injury (AKI) potential, and pDDIs with QTc prolongation potential. METHODS We extracted routinely collected retrospective data from electronic health records of intensive care units (ICUs) patients (≥18 years), admitted to ten hospitals in the Netherlands between January 2010 and September 2019. We used computerized triggers (e-triggers) to preselect patients with potential DDI-ADEs. Between September 2020 and October 2021, clinical experts conducted a retrospective manual patient chart review on a subset of preselected patients, and assessed causality, severity, preventability, and contribution to ICU length of stay of DDI-ADEs using internationally prevailing standards. RESULTS In total 85 422 patients with ≥1 pDDI were included. Of these patients, 32 820 (38.4%) have been exposed to one of the three pDDIs. In the exposed group, 1141 (3.5%) patients were preselected using e-triggers. Of 237 patients (21%) assessed, 155 (65.4%) experienced an actual DDI-ADE; 52.9% had severity level of serious or higher, 75.5% were preventable, and 19.3% contributed to a longer ICU length of stay. The positive predictive value was the highest for DDI-INR+ e-trigger (0.76), followed by DDI-AKI e-trigger (0.57). CONCLUSION The highly preventable nature and severity of DDI-ADEs, calls for action to optimize ICU patient safety. Use of e-triggers proved to be a promising preselection strategy.
Collapse
Affiliation(s)
- Joanna E Klopotowska
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Jan-Hendrik Leopold
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Tinka Bakker
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Izak Yasrebi-de Kom
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Frouke M Engelaer
- Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Evert de Jonge
- Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther K Haspels-Hogervorst
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Walter M van den Bergh
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Maurits H Renes
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bas T de Jong
- Department of Intensive Care, Isala Hospital, Zwolle, The Netherlands
| | - Hans Kieft
- Department of Intensive Care, Isala Hospital, Zwolle, The Netherlands
| | - Andre Wieringa
- Department of Clinical Pharmacy, Isala Hospital, Zwolle, The Netherlands
| | - Stefaan Hendriks
- Department of Intensive Care, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Cedric Lau
- Department of Hospital Pharmacy, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Sjoerd H W van Bree
- Department of Intensive Care, Hospital Gelderse Vallei, Ede, The Netherlands
| | | | - Peter C Wierenga
- Department of Hospital Pharmacy, Hospital Gelderse Vallei, Ede, The Netherlands
| | - Rob J Bosman
- Department of Intensive Care Medicine, OLVG Hospital, Amsterdam, The Netherlands
| | - Vincent M de Jong
- Department of Intensive Care Medicine, OLVG Hospital, Amsterdam, The Netherlands
| | - Mirjam Slijkhuis
- Department of Clinical Pharmacy, OLVG Hospital, Amsterdam, The Netherlands
| | - Eric J F Franssen
- Department of Clinical Pharmacy, OLVG Hospital, Amsterdam, The Netherlands
| | - Wytze J Vermeijden
- Department of Intensive Care, Medisch Spectrum Twente, Enschede, The Netherlands
| | - Joost Masselink
- Department of Hospital Pharmacy, Medisch Spectrum Twente, Enschede, The Netherlands
| | - Ilse M Purmer
- Department of Intensive Care, Haga Hospital, The Hague, The Netherlands
| | - Liesbeth E Bosma
- Department of Hospital Pharmacy, Haga Hospital, The Hague, The Netherlands
| | - Martin Hoeksema
- Department of Intensive Care, Zaans Medisch Centrum, Zaandam, The Netherlands
| | - Elsbeth Wesselink
- Department of Hospital Pharmacy, Zaans Medisch Centrum, Zaandam, The Netherlands
| | - Dylan W de Lange
- Department of Intensive Care, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Nicolette F de Keizer
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Dave A Dongelmans
- Department of Intensive Care, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, The Netherlands
| | - Ameen Abu-Hanna
- Department of Medical Informatics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| |
Collapse
|
2
|
Bright RA, Rankin SK, Dowdy K, Blok SV, Bright SJ, Palmer LAM. Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method. JMIRX MED 2021; 2:e27017. [PMID: 37725533 PMCID: PMC10414364 DOI: 10.2196/27017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/03/2021] [Accepted: 05/01/2021] [Indexed: 09/21/2023]
Abstract
BACKGROUND Big data tools provide opportunities to monitor adverse events (patient harm associated with medical care) (AEs) in the unstructured text of electronic health care records (EHRs). Writers may explicitly state an apparent association between treatment and adverse outcome ("attributed") or state the simple treatment and outcome without an association ("unattributed"). Many methods for finding AEs in text rely on predefining possible AEs before searching for prespecified words and phrases or manual labeling (standardization) by investigators. We developed a method to identify possible AEs, even if unknown or unattributed, without any prespecifications or standardization of notes. Our method was inspired by word-frequency analysis methods used to uncover the true authorship of disputed works credited to William Shakespeare. We chose two use cases, "transfusion" and "time-based." Transfusion was chosen because new transfusion AE types were becoming recognized during the study data period; therefore, we anticipated an opportunity to find unattributed potential AEs (PAEs) in the notes. With the time-based case, we wanted to simulate near real-time surveillance. We chose time periods in the hope of detecting PAEs due to contaminated heparin from mid-2007 to mid-2008 that were announced in early 2008. We hypothesized that the prevalence of contaminated heparin may have been widespread enough to manifest in EHRs through symptoms related to heparin AEs, independent of clinicians' documentation of attributed AEs. OBJECTIVE We aimed to develop a new method to identify attributed and unattributed PAEs using the unstructured text of EHRs. METHODS We used EHRs for adult critical care admissions at a major teaching hospital (2001-2012). For each case, we formed a group of interest and a comparison group. We concatenated the text notes for each admission into one document sorted by date, and deleted replicate sentences and lists. We identified statistically significant words in the group of interest versus the comparison group. Documents in the group of interest were filtered to those words, followed by topic modeling on the filtered documents to produce topics. For each topic, the three documents with the maximum topic scores were manually reviewed to identify PAEs. RESULTS Topics centered around medical conditions that were unique to or more common in the group of interest, including PAEs. In each use case, most PAEs were unattributed in the notes. Among the transfusion PAEs was unattributed evidence of transfusion-associated cardiac overload and transfusion-related acute lung injury. Some of the PAEs from mid-2007 to mid-2008 were increased unattributed events consistent with AEs related to heparin contamination. CONCLUSIONS The Shakespeare method could be a useful supplement to AE reporting and surveillance of structured EHR data. Future improvements should include automation of the manual review process.
Collapse
Affiliation(s)
- Roselie A Bright
- US Food and Drug Administration, Silver Spring, MD, United States
| | | | | | | | - Susan J Bright
- US Food and Drug Administration, Rockville, MD, United States
| | | |
Collapse
|
3
|
Lip A, Stelfox HT, Au S. A mixed methods study to effectively utilize trigger tools in the ICU. J Crit Care 2020; 61:57-62. [PMID: 33096346 DOI: 10.1016/j.jcrc.2020.09.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/23/2020] [Accepted: 09/28/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE This study aimed to create a trigger tool for our intensive care units (ICUs) to support our departmental quality improvement efforts. METHODS We compiled an initial list of triggers used in an ICU setting through literature review. We used a modified Delphi method to develop a unique set of triggers. An expert panel was selected for multidisciplinary and multi-site representation from four adult medical-surgical ICUs of a Canadian city. Respondents ranked triggers on a Likert scale based on its likelihood of being associated with adverse event (sensitivity to harm), and likelihood of being associated with suboptimal ICU processes (specificity for internal recommendations). OUTCOMES Our literature search yielded 10 articles and 59 triggers. Completion of the rating process resulted in 12 items that achieved consensus. Triggers included specific clinical, hospital-acquired infection, medication related, and procedural occurrences. One additional trigger (cardiopulmonary arrest) which consistently held high scores but did not achieve multidisciplinary consensus, was also included. CONCLUSIONS We used the modified Delphi process to derive consensus-selected triggers to identify ICU specific adverse events with opportunity for improvement in local care. This methodology can be adopted by other centers looking to introduce trigger tools in a manner selective to their practice needs.
Collapse
Affiliation(s)
- Alyssa Lip
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | - Henry T Stelfox
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada; Alberta Health Services-Calgary Zone, Calgary, Alberta, Canada
| | - Selena Au
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
| |
Collapse
|
4
|
Andrade PHS, de Almeida ACB, Dos Santos AKS, Lobo IMF, da Silva FA, da Silva WB. Challenges to the consolidation of pharmacovigilance practices in Brazil: limitations of the hospital pharmacist. Ther Adv Drug Saf 2020; 11:2042098620933748. [PMID: 32864089 PMCID: PMC7430076 DOI: 10.1177/2042098620933748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/11/2020] [Indexed: 11/16/2022] Open
Abstract
Aims: The aim of this study was to present the needs of hospital pharmacists in pharmacovigilance practices. Methods: This study has a cross-sectional design and was carried out with hospital pharmacists in Brazil. The sample was obtained by voluntary recruitment. Pharmacists who worked at Brazilian hospitals and were registered in their respective regulatory councils were invited to participate in the present study. A personalized questionnaire was developed by the authors and was electronically filled out by the respondents on the platform ‘Google forms’. The questionnaire was nationally available on the digital platform of the Pharmacy Federal Council, the Brazilian Society of Hospital Pharmacy and Health Services, four Pharmacy regional councils and the social network farmacêuticoclínico®. Quantitative variables were analyzed by mean and standard deviation. The qualitative variables were analyzed by means of absolute and relative frequency. Difficulties related to pharmacovigilance activities are presented in an Ishikawa diagram in the Supplemental Material online. Results: Of the 27 federative units of Brazil, we obtained answers from pharmacists located in 85.2% (n = 23) of them. Among the pharmacovigilance practices developed by Brazilian pharmacists, the adverse drug reaction investigation (55.4%) and notification activities (47.0%) were worthy of note. Numerous difficulties were reported by the pharmacists, highlighting the difficulty in monitoring the medication and imputation of causality (27.7%). After categorizing the difficulties reported, it was observed that the category ‘people involved’ (45.1%) stood out from the others. Conclusion: This study pointed out numerous challenges to pharmacovigilance practices involving pharmacists in Brazil. It is believed that the correction of certain difficulties may impact on the better consolidation of pharmacovigilance activities in the country. However, regulatory agencies at all hierarchical levels of pharmacovigilance must work together to make it possible. Plain language Summary Challenges to the consolidation of pharmacovigilance This is a study that seeks to present the needs of Brazilian hospital pharmacists in relation to pharmacovigilance activities. Through online interviews, pharmacists answered a questionnaire, presented the pharmacovigilance activities they develop and expressed their anxieties and difficulties for the development of these activities. With this study, it was concluded that numerous activities of active search, investigation and notification of adverse drug reaction are developed by Brazilian pharmacists. However, each pharmacist performs a different method of pharmacovigilance. In addition, it was observed that among the interviewees there was a perception of insufficient professional training and a shortage of professionals to assist in pharmacovigilance activities. These were the main difficulties reported. Therefore, the search for models or agile solutions to solve problems involving adverse drug reactions seems necessary for a better consolidation of pharmacovigilance services in Brazil.
Collapse
Affiliation(s)
- Paulo Henrique Santos Andrade
- Departamento de Farmácia, Universidade Federal de Sergipe, Núcleo de Pesquisa em Produtos Naturais e Assistência Farmacêutica (NUPPNAF), Av. Marechal Rondon, S/n - Jardim Rosa Elze, São Cristóvão, SE 49100-000, Brazil
| | | | | | - Iza Maria Fraga Lobo
- University Hospital of Sergipe, Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | - Francilene Amaral da Silva
- Nucleus of Research in Natural Products and Pharmaceutical Care, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
| | - Wellington Barros da Silva
- Nucleus of Research in Natural Products and Pharmaceutical Care, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil
| |
Collapse
|