Adverse Drug Event Monitoring Research Articles

Risk analysis of enfortumab vedotin: A real-world approach based on the FAERS database

PurposeTo analyze the risk of enfortumab vedotin (EV), a targeted therapy for advanced bladder cancer, using real-world data from the U.S. Food and Drug Administration's Federal Adverse Event Reporting System (FAERS). MethodsA retrospective pharmacovigilance analysis was conducted using FAERS data from Q1 2020 to Q1 2024. Adverse drug events (ADEs) related to EV were identified and categorized according to the System Organ Classes (SOCs) and specific events. Statistical methods, such as the proportional reporting ratio, reporting odds ratio (ROR), Bayesian confidence propagation neural network, and empirical Bayesian geometric mean were used to detect safety signals. ResultsOf the 7,449,181 FAERS case reports, 1,617 EV-related ADEs were identified, including 101 preferred terms and 22 SOCs. The key SOCs included skin and subcutaneous tissue, metabolic, and nutritional disorders. Rare ADEs, such as lichenoid keratosis (n = 4; ROR 26.89), small intestinal perforation (n = 3; ROR 24.51), pigmentation disorder (n = 9; ROR 18.16), and cholangitis (n = 8; ROR 17.48), showed significant disproportionality. ConclusionWhile most findings aligned with the existing data, new signs such as lichenoid keratosis and small intestinal perforation were identified. Further studies are necessary to validate these findings and emphasize the need for the clinical monitoring of EV-related ADEs.

Clinical drug interactions between linezolid and other antibiotics: For adverse drug event monitoring.

Detailed data on safety associated with drug-drug interactions (DDIs) between Linezolid (LZD) and other antibiotics are limited. The aim of this study was to investigate the safety signals related to these DDIs and to provide a reference for clinically related adverse drug event monitoring. Adverse event (AE) information from 1 January 2004 to 16 June 2022 of the target antibiotics including LZD using alone or in combination with LZD was extracted from the OpenVigil FDA data platform for safety signal analysis. The combined risk ratio model, reporting ratio method, Ω shrinkage measure model, and chi-square statistics model were used to analyze the safety signals related to DDIs. Meanwhile, we evaluated the correlation and the influence of sex and age between the drug(s) and the target AE detected. There were 18991 AEs related to LZD. There were 2293, 1726, 4449, 821, 2431, 1053, and 463 AE reports when LZD was combined with amikacin, voriconazole, meropenem, clarithromycin, levofloxacin, piperacillin-tazobactam, and azithromycin, respectively. Except for azithromycin, there were positive safety signals related to DDIs between LZD and these antibiotics. These DDIs might influence the incidence of 13, 16, 7, 7, 6, and 15 types of AEs, respectively, and is associated with higher reporting rates of AEs compared with use alone. Moreover, sex and age might influence the occurrence of AEs. We found that the combinations of LZD and other antibiotics are related to multiple AEs, such as hepatotoxicity, drug resistance and electrocardiogram QT prolonged, but further research is still required to investigate their underlying mechanisms. This study can provide a new reference for the safety monitoring of LZD combined with other antibiotics in clinical practice.

Ensuring Medication Safety in India: The Crucial Role of the Pharmacovigilance Programme of India (PvPI) in Adverse Drug Event Monitoring

With the establishment of 12 regional centers, India implemented a comprehensive system for monitoring drug reactions in 1986. In 1997, India became a member of the Uppsala Monitoring Centre in Sweden, which oversees the World Health Organization's Programme for International Drug Surveillance. Beginning at the outset, six regional centers were created in Chandigarh, New Delhi, Mumbai, Kolkata, Lucknow, and Pondicherry. ADR is being watched throughout the nation. Advocating for safe drug use may become a top focus for the Indian Pharmacopoeia Commission, which also functions as the National Coordination Centre for India's Pharmacovigilance Program. We currently have 179 adverse drug reactions under observation. At the moment, the National Coordination Centre receives adverse event reports from centers in India.Reporting Form; Phocomelia; Vigiflow; UMC; Death; Thalidomide

Establishing a trigger tool based on global trigger tools to identify adverse drug events in obstetric inpatients in China

BackgroundPregnant women belong to the special population of drug therapy, and their physiological state, pharmacokinetics and pharmacodynamics are significantly different from the general population. Drug safety during pregnancy involves two generations, which is a hot issue widely concerned in the whole society. Global Trigger Tool (GTT) of the Institute for Healthcare Improvement (IHI) has been wildly used as a patient safety measurement strategy by several institutions and national programs, and the effectiveness had been demonstrated. But only one study reports the use of GTT in obstetric delivery until now. The aim of the study is to establish triggers detecting adverse drug events (ADEs) suitable for obstetric inpatients on the basis of the GTT, to examine the performance of the obstetric triggers in detecting ADEs experienced by obstetric units compared with the spontaneous reporting system and GTT, and to assess the utility and value of the obstetric trigger tool in identifying ADEs of obstetric inpatients.MethodsBased on a literature review searched in PubMed and CNKI from January of 1997 to October of 2023, retrospective local obstetric ADEs investigations, relevant obstetric guidelines and the common adverse reactions of obstetric therapeutic drugs were involved to establish the initial obstetric triggers. According to the Delphi method, two rounds of expert questionnaire survey were conducted among 16 obstetric and neonatological physicians and pharmacists until an agreement was reached. A retrospective study was conducted to identity ADEs in 300 obstetric inpatient records at the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital from June 1 to September 30, 2018. Two trained junior pharmacists analyzed the first eligible records independently, and the included records reviewed by trained pharmacist and physician to identify ADEs. Sensitivity and specificity of the established obstetric triggers were assessed by the number of ADEs/100 patients and positive predictive value with the spontaneous reporting system (SRS) and GTT. Excel 2010 and SPSS22 were used for data analysis.ResultsThrough two rounds of expert investigation, 39 preliminary triggers were established that comprised four modules (12 laboratory tests, 9 medications, 14 symptoms, and 4 outcomes). A total of 300 medical records were reviewed through the obstetric triggers, of which 48 cases of ADEs were detected, with an incidence of ADEs of 16%. Among the 39 obstetric triggers, 22 (56.41%) were positive and 11 of them detected ADEs. The positive predictive value (PPV) was 36.36%, and the number of ADEs/100 patients was 16.33 (95% CI, 4.19–17.81). The ADE detection rate, positive trigger rate, and PPV for the obstetric triggers were significantly augmented, confirming that the obstetric triggers were more specific and sensitive than SRS and GTT.ConclusionThe obstetric triggers were proven to be sensitive and specific in the active monitoring of ADE for obstetric inpatients, which might serve as a reference for ADE detection of obstetric inpatients at medical institutions.

Active monitoring of antifungal adverse events in hospitalized patients based on Global Trigger Tool method.

The increasing prevalence of fungal infections necessitates broader use of antifungal medications. However, the prevalence of adverse drug events (ADEs) restricts their clinical application. This study aimed to develop a reliable ADEs trigger for antifungals to enable proactive ADEs monitoring, serving as a reference for ADEs prevention and control. This investigation comprises two phases. Initially, the trigger was established via a literature review, extraction of relevant items, and refinement through Delphi expert consultation. Subsequently, the validity of the trigger was assessed by analyzing hospital records of antifungal drug users from 1 January 2019 to 31 December 2020. The correlation between each trigger signal and ADEs occurrence was examined, and the sensitivity and specificity of the trigger were evaluated through the spontaneous reporting system (SRS) and Global Trigger Tool (GTT). Additionally, risk factors contributing to adverse drug events (ADEs) resulting from antifungal use were analyzed. Results: Twenty-one preliminary triggers were refined into 21 final triggers after one expert round. In the retrospective analysis, the positive trigger rate was 65.83%, with a positive predictive value (PPV) of 28.75%. The incidence of ADEs in inpatients was 28.75%, equating to 44.58 ADEs per 100 admissions and 33.04 ADEs per 1,000 patient days. Predominant ADEs categories included metabolic disturbances, gastrointestinal damage, and skin rashes. ADEs severity was classified into 36 cases at grade 1, 160 at grade 2, and 18 at grade 3. The likelihood of ADEs increased with longer stays, more positive triggers, and greater comorbidity counts. This study underscores the effectiveness of the GTT in enhancing ADEs detection during antifungal medication use, thereby confirming its value as a monitoring tool.

EPH254 Proactive Drug Safety Monitoring of Adverse Drug Events in Saudi Arabia: 2022 Experience

Saudi Food and Drug Authority (SFDA) established the Proactive Drug Safety Monitoring Program to monitor the safety of registered medicinal products in Saudi Arabia more proactively and efficiently. The Proactive Drug Safety Monitoring Program evaluated the relatedness of adverse drug event (ADE) case reports exported from VigiBase, the World Health Organization global database of individual case safety reports, with a group of medications approved by SFDA.

A randomized controlled trial to evaluate the impact of pharmacist-led clinical interventions on the health-related quality of life among TB patients.

Background: The study was designed to evaluate the impact of pharmacist-led clinical interventions on the health-related quality of life among tuberculosis patients in Pakistan. Methods: A randomized, controlled prospective study was carried out in a Pakistan Institute of Medical Sciences hospital tuberculosis (TB) control center. Participants who visited the TB center between September 2020 and December 2021 were randomly assigned to two clusters, the usual care group (UC group) vs. the intervention group (pharmaceutical care group), in a 1:1 ratio by a simple envelope technique. In the intervention group, a patient received centered care that encompassed informed decision-making, which can increase the quality of care and monitoring of adverse drug events. However, the control group received routine TB treatment at the hospital. The EuroQol-5D-3L instrument was used to assess the health-related quality of life (HRQoL) at the baseline and in the third and sixth months of the treatment time period. Results: A total of 503 patients were eligible, of which only 426 patients were included in this study. At the end of the study, n = 205 of the patients in the intervention group and n = 185 of those in the control group were analyzed. In the intervention group, the EQ-5D-3L health utility score improved significantly (p < 0.001) (from the baseline mean ± SD, 0.40 ± 0.36, to 6months of treatment, 0.89 ± 0.09, while in the control group from 0.42 ± 0.35 to 0.78 ± 0.27). In multivariate regression analysis, the variables that remained statistically associated (p < 0.001) with the HRQoL (unstandardized β [95% confidence interval]) of the control group were as follows: gender, female vs. male (-0.039 [-0.076 to -0.003]); body weight, less than 40kg vs. more than 40kg (-0.109 [-0.195 to -0.024]); patients with any comorbidity vs. without comorbidity (-0.136 [-0.252 to -0.020]); and smokers vs. non-smokers (-0.204 [-0.291 to -0.118]). The study did not find any statistically significant associations between the intervention group's variables and the HRQoL. Conclusion: Patient-centered care interventions led by pharmacists as part of care coordination enhanced the HRQoL for TB patients significantly. According to this study, clinical pharmacists should be included in the interdisciplinary clinical staff for TB patient management.

Update of triggers for detection of adverse drug events in hematologic patients

The use of triggers for the active search and detection of adverse drug events (ADEs) has been gaining ground within pharmacovigilance services. Thus, the main objective of the study was to propose a new list of triggers to be used in a center specialized in hematology in Rio de Janeiro, Brazil. The update of the list of triggers consisted of revising the current list, with the exclusion and inclusion of new triggers. To verify the performance of the new list of triggers, a cross-sectional study was conducted in which the new triggers were used to investigate the occurrence of ADEs in patients attended in the emergency unit or hospitalized from January to March 2022. For each suspected ADEs, the patient's profile and adverse drug reactions (ADRs) were characterized regarding causality and severity. The performance of the triggers and their ability to capture ADEs were estimated using the following indicators: frequency of the trigger per 100 medical records, frequency of ADEs per 100 records, and positive predictive value (PPV). To evaluate the overall performance of the proposed new list, the PPV was estimated. A total of 374 prescriptions for triggers were identified in 186 medical records. The most efficient in the detection of possible ADEs were: lidocaine, loperamide, bisacodyl, filgrastim and glycerin clyster. The overall PPV of the new suggested list was 48% versus 10% of the previous list. This study demonstrated the importance of an updated list of triggers for the monitoring of ADEs and improvement of the care provided.

Adverse Drug Events Related to Common Asthma Medications in US Hospitalized Children, 2000-2016.

The reduction in adverse drug events is a priority in healthcare. Medications are frequently prescribed for asthmatic children, but epidemiological trends of adverse drug events related to anti-asthmatic medications have not been described in hospitalized children. The objective of this study was to report incidence trends, risk factors, and healthcare utilization of adverse drug events related to anti-asthmatic medications by major drug classes in hospitalized children in the USA from 2000 to 2016. A population-based temporal analysis included those aged 0-20 years who were hospitalized with asthma from the 2000 to 2016 Kids Inpatient Database. Age-stratified weighted temporal trends of the inpatient incidence of adverse drug events related to anti-asthmatic medications (i.e., corticosteroids and bronchodilators) were estimated. Stepwise multivariate logistic regression models generated risk factors for adverse drug events. From 2000 to 2016, 12,640 out of 698,501 pediatric asthma discharges (1.7%) were associated with adverse drug events from anti-asthmatic medications. 0.83% were adverse drug events from corticosteroids, resulting in a 1.14-fold increase in the length of stay (days) and a 1.42-fold increase in hospitalization charges (dollars). The overall incidence (per 1000 discharges) of anti-asthmatic medication adverse drug events increased from 5.3 (95% confidence interval [CI] 4.6-6.1) in 2000 to 21.6 (95% CI 18.7-24.6) in 2016 (p-trend = 0.024). Children aged 0-4 years had the most dramatic increase in the incidence of bronchodilator adverse drug events from 0.2 (95% CI 0.1-0.4) to 19.3 (95% CI 15.2-23.4) [p-trend ≤0.001]. In general, discharges among asthmatic children with some comorbidities were associated with an approximately two to five times higher odds of adverse drug events. The incidence of adverse drug events from common anti-asthmatic medications quadrupled over the past decade, particularly among preschool-age children who used bronchodilators, resulting in substantial increased healthcare costs. Those asthmatic children with complex medical conditions may benefit the most from adverse drug event monitoring.

Impact of Pharmacist-Led Implementation of a Community Hospital-Based Outpatient Parenteral Antimicrobial Therapy on Clinical Outcomes in Thailand.

Few studies have analyzed community hospital-based parenteral anti-infective therapy (CohPAT). We aimed to assess the clinical impact of a pharmacist-led implementation of a clinical practice guideline (CPG) for CohPAT, and to determine the pharmacist’s role in CohPAT medication management. The prospective-period patients (post-implementation group) were compared with the historical control-period patients (pre-implementation group) for receiving a continuous antimicrobial parenteral injection. A CPG was used for laboratory testing for efficacy and safety, the monitoring of adverse drug events during admission, microbiology results coordination, and dosage adjustment. For any antimicrobial drug-related problems, the pharmacist consulted with the clinicians. Over 14 months, 50 participants were included in each group. In the pre-implementation period, 7 (14%) and 4 (8%) out of 50 patients received an inappropriate dosage and nonlaboratory monitoring for dose adjustment, respectively. The patients received the proper dosage of antimicrobial agents, which increased significantly from 78% pre- to 100% post-implementation (p = 0.000). The pharmacist’s interventions during the prospective-period were completely accepted by the clinicians, and significantly greater laboratory monitoring complying with CPG was given to the postimplementation group than the pre-implementation group (100% vs. 60%; p = 0.000). Significantly less patients with unfavorable outcomes (failure or in-hospital mortality) were observed in the post-implementation than in the pre-implementation (6% vs. 26%; p = 0.006) group. For the logistic regression analysis, lower respiratory infection (adjusted OR, aOR 3.68; 95%CI 1.13–12.06) and the post-implementation period (aOR 0.21; 95%CI 0.06–0.83) were significant risk factors that were associated with unfavorable outcomes. Given the better clinical outcomes and the improved quality of septic patient care observed after implementation, pharmacist-led implementation should be adopted in healthcare settings.

Signal Detection of Adverse Events Associated with Trastuzumab in a Cohort of Elderly Patients with Breast Cancer.

AimUtilization of signal detection methods in longitudinal claims data can improve post-marketing drug surveillance, but to date there has been limited application. The aim of this study is to use 3 approaches, the proportional reporting ratio, Gamma Poisson Shrinker, and tree-based scan statistic in detecting adverse drug events (ADEs) attributed to trastuzumab using an administrative claims dataset.MethodsUsing data from the Texas Cancer Registry and SEER linked to Medicare from 2010 to 2013, we conducted 1:2 propensity score matching. Breast cancer HER2+ patients treated with trastuzumab in addition to standard chemotherapy were matched to HER2– patients treated with standard chemotherapy. Inpatient and outpatient encounters up to 6 months from start of therapy were used to identify adverse events.ResultsA total of 4191 patients were included in the study. Across all methods, use of trastuzumab generated signals on 9 distinct body systems. Cardiomyopathy and heart valve disease were the most consistently detected signals. Clinical review determined that most signals represented known ADEs.ConclusionsWe showed that claims data can be used to complement current ADE monitoring using common data mining methods with propensity score matching. Our analysis identified all expected ADEs associated with trastuzumab, and additional signals of valvular heart disorders.

Current pharmacotherapy management of children and adults with pericarditis: Prospectus for improved outcomes.

Pericarditis is the most common inflammatory pericardial disease in both children and adults. Since the 2015 European Society of Cardiology Guidelines for the diagnosis and management of pericardial disease were published, there have been significant updates to management. Pharmacotherapy has been historically reserved for idiopathic pericarditis (IP). However, there has been increasing use of pharmacotherapies, such as anti-inflammatory therapies, colchicine, and immunotherapies for other causes of pericarditis, such as post-cardiac injury syndromes (PCIS). Nevertheless, the quality of data varies depending on PCIS or idiopathic etiologies, as well as the adult and pediatric population. High-dose anti-inflammatory therapies should be used to manage symptoms associated with either etiology of pericarditis in both adults and children, but do not ameliorate the inflammatory disease process. Choice of anti-inflammatory should be guided by drug-drug/disease interactions, cost, tolerability, patient age, and should be tapered accordingly over several weeks to months. Colchicine should be added as adjuvant therapy to anti-inflammatory therapies in adults and children with IP, as it has been shown to lower the risk of recurrence, reduce pericarditis symptoms, and improve morbidity. Colchicine is also reasonable to add to adults and children with pericarditis secondary to PCIS. Systemic glucocorticoids increase risk of recurrence in adults and children with IP and are reserved for second-line treatment in acute and recurrent IP; they are generally avoided in PCIS. Immunotherapies are regarded as third-line for recurrent IP in adults and children. Limited evidence exists to support their use in patients with pericarditis from PCIS. Pharmacovigilance strategies, such as C-reactive protein and adverse drug event monitoring, are also important toward balancing efficacy and safety of the various strategies used to manage pericarditis in adults and children.

Intensive monitoring of adverse drug events associated with the use of new glucose‐lowering drugs: results from an inception cohort study in Portugal

To determine the frequency and the time-course profile of adverse drug events associated with new glucose-lowering drugs in daily practice and to explore factors potentially associated to these events. An inception cohort study was implemented. Adults with type 2 diabetes mellitus initiating a dipeptidyl peptidase-4 inhibitor, a glucagon-like peptide-1 receptor agonist or a sodium-glucose co-transporter-2 inhibitor were eligible for inclusion. Data were collected through baseline and follow-up telephone questionnaires, administered at 2 weeks, 3 months and 6 months. Kaplan-Meier curves and log-rank were computed to compare the time to adverse drug event onset. Cox models were used to explore potential factors associated with adverse drug events. A total of 1328 participants were recruited to the study. In all, 1118 adverse drug events were reported (of which 36% were not listed in the summary of product characteristics) by 41% of participants. The median latency time of adverse drug events reported in ≥1% of participants ranged from 0 to 2 days. Glucagon-like peptide-1 receptor agonist and sodium-glucose co-transporter-2 inhibitor subgroups were associated with an increased likelihood of adverse drug event reporting when compared with the dipeptidyl peptidase-4 inhibitor subgroup. A total of 328 glucose-lowering drugs were withdrawn, more than half as a result of an adverse drug event. More than two-fifths of participants reported an adverse drug event; dipeptidyl peptidase-4 inhibitors led to the highest proportion of unlabelled adverse drug events. Adverse drug event latency time data show that counselling and adverse drug event management should be proactively addressed from treatment initiation. There should be greater focus on prevalent new users of glucose-lowering drugs, who were more complex participants in this study in terms of type 2 diabetes disease, as they were more likely to report an adverse drug event than the incident new users.

A Randomized Controlled Trial to Assess the Impact of Clinical Pharmacy Interventions on Treatment Outcomes, Health Related Quality of Life and Medication Adherence Among Hepatitis C Patients.

PurposeThe role of specialized pharmacy services remains unexplored in clinical practice for hepatitis C patients in Pakistan. This study aimed to evaluate the impact of clinical pharmacy interventions on treatment outcomes, health-related quality of life (HRQoL), and medication adherence among hepatitis C patients.MethodsA randomized control trial was conducted at two tertiary-care teaching hospitals in Pakistan. Hepatitis C patients who attended the outpatient clinics between October 2015 and September 2018 were randomized to two groups [usual care (UC) and pharmaceutical care (PC)] in a 1:1 ratio, applying simple envelope method. The PC group received pharmaceutical care led by a clinical pharmacist. The care that patients received included education and counseling on medication compliance, labeling of medication packs, and monitoring of adverse drug events, led by a qualified clinical pharmacist during the 15- to 20-minute monthly sessions, while the UC group received standard care at hospital, which did not involve clinical pharmacist input. Outcome measures, such as sustained virological response, HRQoL, and adherence rate (pharmacy data) were assessed at enrolment and distinct time intervals: 4 weeks, 8 weeks, and end of treatment.ResultsA total of 931 patients were included in the study (UC 466 and PC 465), with mean age 42.35±1.9 years. Sustained virological response at 12 weeks was achieved in 86.0% patients in the PC group, significantly (p<0.001) higher than the UC (69.3%) group. Fewer patients (9.9%) in the PC group reported mobility problems, significantly fewer (p<0.001) than the UC group (11.8%). Self-care, usual activity, pain, and depression were relieved significantly in the PC group compared to the UC group. The EuroQol visual analogue scale (baseline 56.1 of UC group versus 55.2 for PC group) was raised to 71.8 and 71.9 in the UC and PC groups, respectively. Medication adherence was significantly improved (p<0.001) in the PC group (88.6%) when compared to the UC group (77.9%, 95% CI 88.9%–91.9%).ConclusionPharmacist-led clinical pharmacy interventions as part of multidisciplinary care had a significant impact on improving cure rates, HRQoL, and medication adherence for hepatitis C patients. This study suggests that clinical pharmacists should be incorporated into the multidisciplinary health-care team for care of hepatitis C patients.

Adverse drug events identified in hospitalized patients in Brazil by International Classification of Diseases (ICD-10) code listings.

Studies of adverse drug events (ADEs) are important in order not to jeopardize the positive impact of pharmacotherapy. These events have substantial impact on the population morbidity profiles, and increasing health system operating costs. Administrative databases are an important source of information for public health purposes and for identifying ADEs. In order to contribute to learning about ADE in hospitalized patients, this study examined the potential of applying ICD-10 (10th revision of the International Classification of Diseases) codes to a national database of the public health care system (SIH-SUS). The study comprised retrospective assessment of ADEs in the SIH-SUS administrative database, from 2008 to 2012. For this, a list of ICD-10 codes relating to ADEs was built. This list was built up by examining lists drawn up by other authors identified by bibliographic search in the MEDLINE and LILACS and consultations with experts. In Brazil, 55,604,537 hospital admissions were recorded in the SIH-SUS, between 2008 and 2012, of which 273,440 (0.49%) were related to at least one ADE. The proportions and rates seem to hold constant over the study period. Fourteen out of 20 most frequent ADEs were identified in codes relating to mental disorders. Intoxications figure as the second most frequently recorded group of ADEs in the SIH-SUS, comprising 76,866 hospitalizations. Monitoring of ADEs in administrative databases using ICD-10 codes is feasible, even in countries with information systems under construction, and can be an innovative tool to complement drug surveillance strategies in place in Brazil, as well as in others countries.

Development of a 'ready-to-use' tool that includes preventability, for the assessment of adverse drug events in oncology.

Background Adverse drug events (ADEs) occur frequently in oncology and justify continuous assessment and monitoring. There are several methods for detecting them, but the trigger tool method seems the most appropriate. Although a generic tool exists, its use for ADEs in oncology has not been convincing. The development of a focused version is therefore necessary. Objective To provide an oncology-focused trigger tool that evaluates the prevalence, harm, and preventability in a standardised method for pragmatic use in ADE surveillance. Setting Hospitals with cancer care in France. Method The tool has been constructed in two steps: (1) constitution of an oncology-centred list of ADEs; 30 pharmacists/practitioners in cancer care from nine hospitals selected a list of ADEs using a method of agreement adapted from the RAND/UCLA Appropriateness Method; and (2) construction of three standardised dimensions for the characterisation of each ADE (including causality, severity, and preventability). Main outcome measure The main outcome measure was validation of the tool, including preventability criteria. Results The tool is composed of a final list of 15 ADEs. For each ADE, a 'reviewer form' has been designed and validated by the panel. It comprises (1) the trigger(s), (2) flowcharts to guide the reviewer, (3) criteria for grading harm, and (4) a standardised assessment of preventability with 6-14 closed sentences for each ADE in terms of therapeutic management and/or prevention of side-effects. Conclusion A complete 'ready-to-use' tool for ADE monitoring in oncology has been developed that allows the assessment of three standardised dimensions.

Preventable adverse drug events in critically ill HIV patients: Is the detection of potential drug-drug interactions a useful tool?

OBJECTIVES:The aim of this study was to develop a strategy to identify adverse drug events associated with drug-drug interactions by analyzing the prescriptions of critically ill patients.METHODS:This retrospective study included HIV/AIDS patients who were admitted to an intensive care unit between November 2006 and September 2008. Data were collected in two stages. In the first stage, three prescriptions administered throughout the entire duration of these patients’ hospitalization were reviewed, with the Micromedex database used to search for potential drug-drug interactions. In the second stage, a search for adverse drug events in all available medical, nursing and laboratory records was performed. The probability that a drug-drug interaction caused each adverse drug events was assessed using the Naranjo algorithm.RESULTS:A total of 186 drug prescriptions of 62 HIV/AIDS patients were analyzed. There were 331 potential drug-drug interactions, and 9% of these potential interactions resulted in adverse drug events in 16 patients; these adverse drug events included treatment failure (16.7%) and adverse reactions (83.3%). Most of the adverse drug reactions were classified as possible based on the Naranjo algorithm.CONCLUSIONS:The approach used in this study allowed for the detection of adverse drug events related to 9% of the potential drug-drug interactions that were identified; these adverse drug events affected 26% of the study population. With the monitoring of adverse drug events based on prescriptions, a combination of the evaluation of potential drug-drug interactions by clinical pharmacy services and the monitoring of critically ill patients is an effective strategy that can be used as a complementary tool for safety assessments and the prevention of adverse drug events.

Adverse drug events in German hospital routine data: A validation of International Classification of Diseases, 10th revision (ICD-10) diagnostic codes.

ObjectiveAdverse drug events (ADEs) during hospital stays are a significant problem of healthcare systems. Established monitoring systems lack completeness or are cost intensive. Routinely assigned International Statistical Classification of Diseases and Related Health Problems (ICD) codes could complement existing systems for ADE identification. To analyze the potential of using routine data for ADE detection, the validity of a set of ICD codes was determined focusing on hospital-acquired events.Material and methodsThe study utilized routine data from four German hospitals covering the years 2014 and 2015. A set of ICD, 10th Revision, German Modification (ICD-10-GM) diagnoses coded most frequently in the routine data and identified as codes indicating ADEs was analyzed. Data from psychiatric and psychotherapeutic departments were excluded. Retrospective chart review was performed to calculate positive predictive values (PPV) and sensitivity.ResultsOf 807 reviewed ADE codes, 91.2% (95%-confidence interval: 89.0, 93.1) were identified as disease in the medical records and 65.1% (61.7, 68.3) were confirmed as ADE. For code groups being predominantly hospital-acquired, 78.5% (73.7, 82.9) were confirmed as ADE, ranging from 68.5% to 94.4% dependent on the ICD code. However, sensitivity of inpatient ADEs was relatively low. 49.7% (45.2, 54.2) of 495 identified hospital-acquired ADEs were coded as disease in the routine data, from which a subgroup of 12.1% (9.4, 15.3) was coded as drug-associated disease.ConclusionsICD codes from routine data can provide an important contribution to the development and improvement of ADE monitoring systems. Documentation quality is crucial to further increase the PPV, and actions against under-reporting of ADEs in routine data need to be taken.

Mieux s’approprier les données relatives aux rôles et retombées de l’activité pharmaceutique : étude quantitative et qualitative auprès de quatre groupes d’experts

The use of scientific data about the roles and the impact of pharmacists is suboptimal. The objective is to evaluate the opinion and attitude of expert pharmacists on the measurement of indicators for the pharmaceuticals activities, sharing and appropriation of scientific knowledge and the place of the website "Impact Pharmacie". This is a descriptive cross-sectional study. Four expert groups were interviewed (hematology-oncology, intensive care, emergency and infectious diseases). To achieve the objective, a preliminary evaluation followed by a semi-structured interview by teleconference was organized for each group. Twenty pharmacists were invited and 18participated in the survey and 19in interviews. Ten out of 18and 2out of 18were collecting descriptive and impact indicators respectively. The use of these indicators by pharmacists was limited. Pharmacists had difficulties determining precise indicators measuring their impact but the majority would choose indicators related to medication errors or adverse drug event monitoring. The keywords mentioned by panelists about the usefulness of the site were "to guide", "to help prioritize", "to think", "to (re) structure the activity" and "time saving". To optimize website use, participants targeted journal club visioconferences, targeted activities in professional meetings and through various organizations. Experts pharmacists recognized the importance of monitoring their practice and a better use of the current available data may ensure the provision of consistent pharmaceutical services. They recognized the need to better educate pharmacists about using and disseminating data about the role and the impact of pharmacists including the website Impact Pharmacy.

Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.

The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have complementary strengths—high veracity in the data from traditional sources and high velocity and variety in patient-generated data—they can be combined to build more-robust public health systems. However, they also have unique challenges. Patient-generated data in particular are often completely unstructured and highly context dependent, posing essentially a machine-learning challenge. Some recent examples from infectious disease surveillance and adverse drug event monitoring demonstrate that the technical challenges can be solved. Despite these advances, the problem of verification remains, and unless traditional and digital epidemiologic approaches are combined, these data sources will be constrained by their intrinsic limits.