Causality Assessment of Adverse Drug Reaction: Controlling Confounding Induced by Polypharmacy

A scoping review of the clinical utility of adverse drug reaction causality analysis tools for use in the hospital setting

INTRODUCTION

Identification and monitoring of adverse drug reactions (ADRs) and interventions to reduce ADRs are essential for patient safety in hospitals. Causality analysis (CA) is an approach that helps to determine a causal link between medication and patient harm (i.e. an ADR). While numerous CA tools exist, there is no gold standard.

AREAS COVERED

Five online databases were searched to identify studies that evaluated the potential clinical utility of CA tools for ADRs. CA tools were mapped against the Bradford Hill (BH) criteria and included if they adhered to the first seven criteria proposed by BH. Upon the database search, 550 studies were identified, with 41 studies being selected that looked at tools mapped to BH. Thirty-four different CA tools were identified in the included studies.

EXPERT OPINION

Naranjo and WHO-UMC were the most reported CA tools for studies examining inter-rater and intra-rater reliability. Naranjo commonly received a 'fair' agreement level while WHO-UMC received a 'substantial' agreement level between raters. Along with kappa statistics, time using the CA tool was also analyzed, with WHO-UMC being the most time-efficient. There does not appear to be one CA tool that can be applied universally to pharmacovigilance efforts in hospital in-patient settings.

The Effect of Sodium Hyaluronate Eye Drops 2, 4 or 6 Times a Day on Signs and Symptoms of Dry Eye Disease

Purpose

A randomized clinical trial was run to evaluate the effectiveness of a preservative-free 0.4% sodium hyaluronate eye drop (LOF) in different dosage schemes to alleviate signs and symptoms of dry eye disease (DED).

Methods

A total of 116 subjects with mild-to-moderate DED were included, and 111 completed the study (from which 67.6% were female and 65.3% were users of oral contraceptives). Patients were randomly assigned to instill a drop of LOF either 2 (BID), 4 (QID) or 6 (6TD) times a day (at least 3 hours apart) for 30 days. The clinical parameters and symptom endpoints were Ocular Surface Disease Index (OSDI), tear break-up time (TBUT), ocular surface staining, and conjunctival hyperemia. Other parameters evaluated were chemosis, best corrected visual acuity, and the incidence of adverse events (AE).

Results

There was a significant reduction in OSDI scores by day 30 in all groups. The recovery of the OSDI score back to normal values was observed in 51.4% of patients treated (50%, 48.6%, and 55.6% in BID, QID, and 6TD, respectively, p = 0.822). Similar improvement was observed for TBUT, 50.5% of patients increased this variable to >10 seconds (39.5%, 51.4%, and 61.1%, p = 0.175), and for ocular surface staining, ≥72% showed Grade 0. There were no significant differences among posology groups regarding ocular surface staining, conjunctival hyperemia, or any safety parameters. No overall improvement in OSDI and TBUT to normal values was noted for 31 patients (21 were female and 71.4% users of contraceptive drugs).

Conclusion

The ophthalmic use of preservative free LOF, 2, 4 or 6 times a day, may alleviate clinical parameters and symptoms in 50% of patients with mild-to-moderate DED after a one-month treatment. This improvement seemed to be less ubiquitous in patients within reproductive age and using oral contraceptives.

Trial Registration

This trial is registered at clinicaltrials.gov (NCT0704531).

Use of Electronic Health Record Data for Drug Safety Signal Identification: A Scoping Review

INTRODUCTION

Pharmacovigilance programs protect patient health and safety by identifying adverse event signals through postmarketing surveillance of claims data and spontaneous reports. Electronic health records (EHRs) provide new opportunities to address limitations of traditional approaches and promote discovery-oriented pharmacovigilance.

METHODS

To evaluate the current state of EHR-based medication safety signal identification, we conducted a scoping literature review of studies aimed at identifying safety signals from routinely collected patient-level EHR data. We extracted information on study design, EHR data elements utilized, analytic methods employed, drugs and outcomes evaluated, and key statistical and data analysis choices.

RESULTS

We identified 81 eligible studies. Disproportionality methods were the predominant analytic approach, followed by data mining and regression. Variability in study design makes direct comparisons difficult. Studies varied widely in terms of data, confounding adjustment, and statistical considerations.

CONCLUSION

Despite broad interest in utilizing EHRs for safety signal identification, current efforts fail to leverage the full breadth and depth of available data or to rigorously control for confounding. The development of best practices and application of common data models would promote the expansion of EHR-based pharmacovigilance.

Efficacy and Safety of an Ophthalmic DMPC-Based Nanoemulsion in Patients with Dry Eye Disease: A Phase I/II Randomized Clinical Trial

Purpose

The goals of this study were to evaluate the safety and efficacy of an ophthalmic 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC)-based nanoemulsion (Nanodrop®) in patients with dry eye disease (DED).

Methods

This was a randomized phase I/II multicentric, prospective, double-blind clinical trial. Patients (phase I: n = 25 and phase II: n = 101) were assigned to receive either PRO-176 (Nanodrop®) or Systane Balance® (control) for 29 days. Once the visits of the first 25 subjects were completed, if there were less than 20% of unexpected adverse events (AEs), related to PRO-176, recruitment was continued until the sample was completed for noninferiority (efficacy) analysis (phase II, n = 126). Efficacy endpoints were the ocular surface disease index (OSDI), tear break-up time (TBUT), epithelial defects, best corrected visual acuity (BCVA), and the incidence of expected AE.

Results

For the phase I portion of the study, there were no differences between groups regarding the incidence of AE. All related-AE symptoms in both groups were mild and expected. For the phase II subset, there was a significant reduction in OSDI scores at day 29 and noninferiority between treatments was confirmed (p=0.650, CI 95% [-8.7, 5.5]). Similar improvement was observed for TBUT although no significant intergroup differences were found (p=0.518, CI 95% [-0.08, 1.6]). There were no significant differences between treatments for epithelial staining or safety parameters.

Conclusions

Topical application of PRO-176 is as safe and effective as the controls. Both groups were clinically similar in terms of efficacy and safety. The results support the hypothesis that ophthalmic DMPC-based nanoemulsion may improve clinical parameters and symptoms in patients with DED. This trial is registered with NCT04111965.

Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism

The aim is to deeply understand the current situation of College English Teaching (CET). By consulting the theories of Deep Learning (DL) and Edge Computing (EC), this work designs a Questionnaire Survey (QS) to understand the current situation of college English learning and teaching. Then, Adaptive Deep Learning (ADL) and EC are introduced into CET. Finally, the corresponding conclusions and suggestions are drawn. Specifically, the purpose and time of college students’ vocabulary learning are investigated. The results suggest that students’ English vocabulary learning is shallow. They have not really mastered the meaning and usage of vocabulary. Simultaneously, teachers’ vocabulary teaching methods are analyzed from three aspects: root affixes, vocabulary collocation, or repeated reading and memory. The teaching method is excellent from the teacher’s perspective but far from perfect from the students’ perspective. Introducing ADL and EC into CET enhances students’ class concentration time, homework submission efficiency, and academic performance. More than half of the students believe that the new teaching method introducing ADL and EC can make them more confident and motivated in English learning. Therefore, it has great reference significance for applying ADL and EC in CET.