Usability Analysis of a Medication Visualization Tool for Decision Support

BACKGROUND

In Germany, patients are entitled to a medication plan. While the overview is useful, it does not contain explicit information on various potential adverse drug events (ADEs). Therefore, physicians must continue to seek information from various sources to ensure medication safety.

OBJECTIVE

In this project a first functional prototype of a medication therapy tool was developed that focuses on visualizing and highlighting potential ADEs. A usability analysis about the tool's functionality, design and usability was conducted.

METHODS

A web application tool was developed using the MMI Pharmindex as database. ADEs are color coded and can be displayed in three different ways - as a list, a table, or a graph. To test the tool, an online survey was conducted amongst healthcare professionals (n = 9). The test included two real medication plans to check ADEs through the tool.

RESULTS

The survey results indicated that the web tool was clear and self-explanatory. It scored overall "good" (score: 76.5) on the System Usability Scale questionnaire. Due to the free-text information of the database used, there were some inconsistencies in the visualized ADEs.

CONCLUSION

There is a demand for a visualization tool for medications. The high quality of the database is crucial in order to correctly visualize all necessary information, such as drug-drug interactions and inclusion of patient data. This is essential to provide a trustworthy tool for medical professionals.

Improving drug safety with adverse event detection using natural language processing

INTRODUCTION

Pharmacovigilance (PV) involves monitoring and aggregating adverse event information from a variety of data sources, including health records, biomedical literature, spontaneous adverse event reports, product labels, and patient-generated content like social media posts, but the most pertinent details in these sources are typically available in narrative free-text formats. Natural language processing (NLP) techniques can be used to extract clinically relevant information from PV texts to inform decision-making.

AREAS COVERED

We conducted a non-systematic literature review by querying the PubMed database to examine the uses of NLP in drug safety and distilled the findings to present our expert opinion on the topic.

EXPERT OPINION

New NLP techniques and approaches continue to be applied for drug safety use cases; however, systems that are fully deployed and in use in a clinical environment remain vanishingly rare. To see high-performing NLP techniques implemented in the real setting will require long-term engagement with end users and other stakeholders and revised workflows in fully formulated business plans for the targeted use cases. Additionally, we found little to no evidence of extracted information placed into standardized data models, which should be a way to make implementations more portable and adaptable.

Angiotensin-Converting Enzyme (ACE) Inhibitor-Induced Angioedema of the Small Bowel: A Diagnostic Dilemma

BACKGROUND

Angioedema of the tongue, oral mucosa, and pharynx is a highly visible and easily diagnoseable side effect of Angiotensin-converting enzyme inhibitors (ACEI). Angioedema of the small bowel is a rarer, and underrecognized, adverse event that may present as a diagnostic challenge due to its nonspecific symptoms and lack of visibility, and because of a general lack of awareness of it among physicians. Failure to consider ACEI-induced angioedema of the small bowel in differential diagnoses may result in unnecessary interventions and delay of treatment.

METHODS

We describe the case of a 61-year-old female who was diagnosed with ACEI-induced angioedema of the small intestine after several repeated evaluations. We undertook a literature search to help provide diagnostic, treatment, and management suggestions in patients with ACEI-induced angioedema of the small intestine.

RESULTS AND CONCLUSION

In the literature, we found that age, patient demographics, and careful medical reconciliation, paired with diagnostic clues in radiology, can assist in accurate diagnosis. More broadly, family and emergency medicine physicians, surgeons, radiologists, and internists should be aware of this rare side effect caused by this commonly prescribed medication to avert unnecessary medical treatments and procedures.

State and Future Science of Opioids and Potential of Biased-ligand Technology in The Management Of Acute Pain After Burn Injury

Pain associated with severe burn injury is one of the most intense and clinically challenging to manage, as the metabolic imbalances associated with the inflammation caused by the injury and treatment interventions (e.g., dressing changes and debridement, excision, and grafting) can further worsen the pain. In the pharmacologic management of a complex, hospitalized patient with burn injuries, opioid therapy remains an efficacious mainstay of treatment. However, the complex nature of pain, injury characteristics, and common demographics after burn injury place patients at high risk of opioid-related adverse events. Thus, guidelines recommend that decisions about choice of opioid be based on physiology, pharmacology, and physician experience, in addition to individualizing initial treatment with subsequent continual adjustments throughout care. Although substantial progress has been made in pain management strategies with utilization of non-opioid medications and nonpharmacologic adjuncts to opioid pharmacotherapy, there is still a need to evaluate new therapies, as an optimal regimen still lacks significant evidential support. Herein, we review the actions of opioids at the cellular level, contributing to both nociception and opioid-related adverse events. We also discuss the most recently approved intravenously administered opioid, oliceridine, developed utilizing biased ligand technology, including a summary of its clinical efficacy and safety in the management of severe acute pain. While oliceridine has been evaluated for the management of moderate-to-severe acute pain, the large phase 3 studies did not include patients with burn injuries. However, potential implications and future study direction for pain associated with burn injury are discussed.

Pharmacist-led medication reconciliation at patient discharge: a tool to reduce healthcare utilization? an observational study in patients 65 years or older

Background

Older patients often experience adverse drug events (ADEs) after discharge that may lead to unplanned readmission. Medication Reconciliation (MR) reduces medication errors that lead to ADEs, but results on healthcare utilization are still controversial. This study aimed to assess the effect of MR at discharge (MRd) provided to patients aged over 65 on their unplanned rehospitalization within 30 days and on both patients’ experience of discharge and their knowledge of their medication.

Methods

An observational multicenter prospective study was conducted in 5 hospitals in Brittany, France.

Results

Patients who received both MR on admission (MRa) and MRd did not have significantly fewer deaths, unplanned rehospitalizations and/or emergency visits related to ADEs (OR = 1.6 [0.7 to 3.6]) or whatever the cause (p = 0.960) 30 days after discharge than patients receiving MRa alone. However, patients receiving both MRa and MRd were more likely to feel that their discharge from the hospital was well organized (p = 0.003) and reported more frequently that their community pharmacist received information about their hospital stay (p = 0.036).

Conclusions

This study found no effect of MRd on healthcare utilization 30 days after discharge in patients over 65, but the process improved patients’ experiences of care continuity. Further studies are needed to better understand this positive impact on their drug care pathway in order to improve patients’ ownership of their drugs, which is still insufficient. Improving both the interview step between pharmacist and patient before discharge and the transmission of information from the hospital to primary care professionals is needed to enhance MR effectiveness.

Trial registration

NCT04018781 July 15, 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03192-3.

Demyelinating Events Following Anti-tumor necrosis factor alpha therapy; rare but challenging to treat

BACKGROUND

Demyelinating events are listed as adverse events with tumor necrosis factor alpha inhibitors (TNFi), but epidemiological studies have provided partly conflicting risk estimates. Furthermore, studies examine long term outcomes of demyelinating events associated with TNF inhibitors are rare.

METHODS

Retrospective, observational study comprising validation and tracking of long-term outcomes in patients referred to a tertiary neurology referral center for suspected neurological complications associated with TNFi.

RESULTS

Out of 48 patients evaluated only 14 showed signs of demyelinating disease on magnetic resonance imaging, where six fulfilled criteria for a clinically isolated syndrome (CIS) and eight were diagnosed with multiple sclerosis (MS). However, 13 patients had received an ICD code for MS at some stage. Mean follow-up from referral was 13 and 10.5 years among subjects with MS and CIS, respectively. Continued disease activity was recorded among several of those fulfilling MS criteria and two ultimately underwent autologous hematopoietic stem cell transplantation. In contrast, subjects with CIS showed no progression after cessation of TNFi.

CONCLUSIONS

Our findings suggest that only a minority of those with suspected demyelinating disease following TNFi fulfill diagnostic criteria for MS and that MS diagnoses also among those not fulfilling MS criteria may contribute to inflated epidemiological risk estimates. Nevertheless, in those fulfilling MS criteria, initiation of disease modulating therapy, with escalation as needed, was important to suppress further disease activity.

Guiding axes for drug safety management of pharmacovigilance centres during the COVID-19 era

The COVID-19 pandemic presents several challenges to the organisation and workflow of pharmacovigilance centres as a result of the massive increase in reports, the need for quick detection, processing and reporting of safety issues and the management of these within the context of lack of complete information on the disease. Pharmacovigilance centres permanently monitor the safety profile of medicines, ensuring risk management to evaluate the benefit-risk relationship. However, traditional pharmacovigilance approaches of spontaneous reporting, are not suitable in the context of a pandemic; the scientific community and regulators need information on a near real-time point. The aim of this commentary is to suggest six interrelated multidimensional guiding axes for drug safety management by pharmacovigilance centres during the COVID-19 pandemic. This working plan can increase knowledge on COVID-19 and associated therapeutic approaches, support decisions by the regulatory authorities, oppose fake news and promote more efficient public health protection.

Can FHIR Support Standardization in Post-Market Safety Surveillance?

The Fast Healthcare Interoperability Resources (FHIR) contain multiple data-exchange standards that aim at optimizing healthcare information exchange. One of them, the FHIR AdverseEvent, may support post-market safety surveillance. We examined its readiness using the Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS). Our methodology focused on mapping the public FAERS data fields to the FHIR AdverseEvent Resource elements and developing a software tool to automate this process. We mapped directly nine and indirectly two of the twenty-six FAERS elements, while six elements were assigned default values. This exploration further revealed opportunities for adding extra elements to the FHIR standard, based on critical FAERS pieces of information reviewed at the FDA. The existing version of the FHIR AdverseEvent Resource may standardize some of the FAERS information but has to be modified and extended to maximize its value in post-market safety surveillance.

Primary Care Physician Characteristics Associated with Prescribing Potentially Inappropriate Medication for Elderly Patients: Medicare Part D Data

BACKGROUND

Despite the high risk of adverse drug events associated with potentially inappropriate medications (PIMs), primary care physicians (PCPs) continue to prescribe them for the elderly. The objective of this study was to explore PIM prescribing behavior in relation to characteristics among PCPs practicing in the United States.

METHODS

We conducted a retrospective cohort study of PCPs in the 2013 to 2015 Medicare Part D Public Use File. We obtained physician characteristics from the 2015 American Medical Association (AMA) Masterfile. For each PCP, we calculated the ratio of primary care-relevant PIM claims to all drug claims (PIM rate) based on Beers Criteria. We used a multivariate regression model to assess the associations between physician characteristics and PIM rate.

RESULTS

The study sample contained 111,461 PCPs who specialized in family medicine, internal medicine, general practice and geriatric medicine. Although the mean PIM rate was low at 4.9%, it varied widely across PCPs with the bottom quartile at 1.2% and the top quartile at 10.1%. PCPs in the top quartile were on average older, more likely to be male, have a DO degree, practice in the South, and have a smaller Medicare patient panel. A multivariate analysis confirmed that even after adjusting for patient panel characteristics, physician characteristics including gender, age, professional degree, specialty, practice location, practice size, and patient panel size were associated with PIM rate.

CONCLUSION

Identifying PCPs with higher PIM rates can guide future interventions to increase safe prescribing for elderly populations.

UArizona at the MADE1.0 NLP Challenge

MADE1.0 is a public natural language processing challenge aiming to extract medication and adverse drug events from Electronic Health Records. This work presents NER and RI systems developed by UArizona team for the MADE1.0 competition. We propose a neural NER system for medical named entity recognition using both local and context features for each individual word and a simple but effective SVM-based pairwise relation classification system for identifying relations between medical entities and attributes. Our system achieves 81.56%, 83.18%, and 59.85% F1 score in the three tasks of MADE1.0 challenge, respectively, ranked amongst the top three teams for Task 2 and 3.

Evaluation of the Efficacy and Safety of DA-9601 versus Its New Formulation, DA-5204, in Patients with Gastritis: Phase III, Randomized, Double-Blind, Non-Inferiority Study

This study compared the efficacy of DA-9601 (Dong-A ST Co., Seoul, Korea) and its new formulation, DA-5204 (Dong-A ST Co.), for treating erosive gastritis. This phase III, randomized, multicenter, double-blind, non-inferiority trial randomly assigned 434 patients with endoscopically proven gastric mucosal erosions into two groups: DA-9601 3 times daily or DA-5,204 twice daily for 2 weeks. The final analysis included 421 patients (DA-5204, 209; DA-9601, 212). The primary endpoint (rate of effective gastric erosion healing) and secondary endpoints (cure rate of endoscopic erosion and gastrointestinal [GI] symptom relief) were assessed using endoscopy after the treatment. Drug-related adverse events (AEs), including GI symptoms, were also compared. At week 2, gastric healing rates with DA-5204 and DA-9601 were 42.1% (88/209) and 42.5% (90/212), respectively. The difference between the groups was -0.4% (95% confidence interval, -9.8% to 9.1%), which was above the non-inferiority margin of -14%. The cure rate of gastric erosion in both groups was 37.3%. The improvement rates of GI symptoms with DA-5204 and DA-9601 were 40.4% and 40.8%, respectively. There were no statistically significant differences between the two groups in both secondary endpoints. AEs were reported in 18 (8.4%) patients in the DA-5204 group and 19 (8.8%) in the DA-9601 group. Rates of AE were not different between the two groups. No serious AE or adverse drug reaction (ADR) occurred. These results demonstrate the non-inferiority of DA-5204 compared to DA-9601. DA-5204 is as effective as DA-9601 in the treatment of erosive gastritis. Registered randomized clinical trial at ClinicalTrials.gov (NCT02282670).

Nonadherence with INR monitoring and anticoagulant complications

INTRODUCTION

This study tests the hypothesis that nonadherence with INR monitoring is associated with an increased risk for warfarin-related bleeding and thrombosis and describes patient characteristics associated with INR monitoring nonadherence.

MATERIALS AND METHODS

This was a retrospective, longitudinal, matched cohort study wherein patients were categorized into adherent and nonadherent cohorts; adherent patients were matched 2:1 to nonadherent patients. The primary study endpoint was the first occurrence of bleeding or thromboembolism. Multivariate logistic regression modeling identified patient characteristics associated with INR monitoring adherence or nonadherence.

RESULTS

A total of 4995 and 2544 patients contributed 10729 and 5385 patient-years of warfarin therapy in the adherent and nonadherent groups, respectively. The rate of thromboembolic events during follow up was higher in the nonadherent group than in the adherent group (0.95% vs. 0.62% per patient-year, respectively; p=0.019) and nonadherence to INR monitoring was associated with a moderately higher risk of thromboembolism (adjusted Hazard Ratio=1.51; 95% confidence interval=1.04 - 2.20). The difference in bleeding between the two groups was not statistically significant.

CONCLUSIONS

Repeatedly missing INR tests is an easily identified clinical parameter that is associated with moderately increased risk for thromboembolism in patients taking chronic warfarin therapy. Clinicians should carefully consider the underlying thromboembolic risk and extent of nonadherence when weighing the benefits of continued warfarin therapy for a given patient.

Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text

OBJECTIVE

Drugs have tremendous potential to cure and relieve disease, but the risk of unintended effects is always present. Healthcare providers increasingly record data in electronic patient records (EPRs), in which we aim to identify possible adverse events (AEs) and, specifically, possible adverse drug events (ADEs).

MATERIALS AND METHODS

Based on the undesirable effects section from the summary of product characteristics (SPC) of 7446 drugs, we have built a Danish ADE dictionary. Starting from this dictionary we have developed a pipeline for identifying possible ADEs in unstructured clinical narrative text. We use a named entity recognition (NER) tagger to identify dictionary matches in the text and post-coordination rules to construct ADE compound terms. Finally, we apply post-processing rules and filters to handle, for example, negations and sentences about subjects other than the patient. Moreover, this method allows synonyms to be identified and anatomical location descriptions can be merged to allow appropriate grouping of effects in the same location.

RESULTS

The method identified 1 970 731 (35 477 unique) possible ADEs in a large corpus of 6011 psychiatric hospital patient records. Validation was performed through manual inspection of possible ADEs, resulting in precision of 89% and recall of 75%.

DISCUSSION

The presented dictionary-building method could be used to construct other ADE dictionaries. The complication of compound words in Germanic languages was addressed. Additionally, the synonym and anatomical location collapse improve the method.

CONCLUSIONS

The developed dictionary and method can be used to identify possible ADEs in Danish clinical narratives.

Comparison of systemic adverse events associated with intravitreal anti-VEGF injection: ranibizumab versus bevacizumab

The aim of this study was to compare the incidence of systemic adverse events in patients treated with intravitreal injections of bevacizumab or ranibizumab, and to evaluate whether compared to ranibizumab administration, bevacizumab constitutes a higher risk for systemic adverse events. A retrospective review was conducted for 916 consecutive patients treated with at least 1 intravitreal injection of bevacizumab or ranibizumab. Cox regression was performed to assess whether a variable had predictive value for occurrence of new systemic adverse events and to account for different follow-up times. A total of 702 patients were analyzed; 503 patients received bevacizumab alone, and 199 patients received ranibizumab alone. Systemic adverse events occurred in 10 of 702 patients (1.4%): 7 in the bevacizumab group (7/503; 1.4%) and 3 in the ranibizumab group (3/199; 1.5%). This difference was not statistically significant (Fisher's exact test, P = 0.573). Cox proportional hazards analysis of 4 models did not reveal a covariate that significantly changed the hazard for systemic adverse events. In conclusion, compared to ranibizumab, bevacizumab may not increase the risk of systemic adverse events in patients receiving intravitreal injections.