Studying the Impact of European Union Regulatory Interventions for Minimising Risks From Medicines: Lessons Learnt and Recommendations.

PURPOSE: The European Medicines Agency's (EMA) Pharmacovigilance Risk Assessment Committee (PRAC) launched a strategy to examine the public health impact of major regulatory interventions aimed at minimising risks of medicinal products. We conducted a lessons learnt analysis of impact studies completed between 2015 and 2023. METHODS: We surveyed PRAC Sponsors and (Co-)Rapporteurs involved in the evaluation of 12 impact studies (10 commissioned by EMA and 2 conducted collaboratively by Member States) to explore how these support regulatory decision-making. Questions covered achievement of study objectives, risk minimisation effectiveness, added value for regulatory decision-making, and recommendations for future impact studies. Themes were generated using thematic content analysis. RESULTS: Survey responses from 15 PRAC Sponsors and (Co-)Rapporteurs from 10 European Union Member States were included in the analysis. Among four cross-sectional surveys and eight drug utilisation studies, 50% achieved all objectives, the other studies partially due to limitations. Two studies concluded that risk minimisation measures were overall effective, two were effective with variation across countries, two were partially effective and four studies showed limited effectiveness. Two studies were deemed inconclusive due to limitations. The reasons for the limited effectiveness of risk minimisation may be explored using mixed-method approaches. Assessment of study feasibility and a priori discussion of effectiveness measurements is important. CONCLUSION: Despite limitations, impact research adds value to regulatory decision-making by addressing knowledge gaps and providing additional information on unintended consequences of regulatory interventions. Our recommendations will help to improve planning, conducting and interpretating future impact studies.

Comparison over Time of Adverse Drug Reactions in Diabetes Patients Treated with Sodium-Glucose Cotransporter 2 Inhibitors.

BACKGROUNDS: The prescription of sodium-glucose cotransporter-2 (SGLT2) inhibitors have been increasing due to their additional benefits, including weight loss, cardioprotection and renoprotection. Accordingly, there are concerns about the potential rise in severe adverse drug reactions (ADRs), such as urinary tract infections, diabetic ketoacidosis, volume depletion, and hypoglycemia. The Society has announced recommendations on the proper use of SGLT2 inhibitors. We aimed to elucidate the recent occurrence of severe ADRs which need discontinuation of SGLT2 inhibitors or hospitalization. METHODS: In this retrospective cohort study, we identified 391 diabetic patients who were prescribed SGLT2 inhibitors upon admission to our hospital between April 2017 and March 2023. Of these, 68 patients who discontinued SGLT2 inhibitors for reasons other than ADRs were excluded. Patients were classified into the 2017 group and the 2020 group based on the treatment period of SGLT2 inhibitors, and the occurrence of ADRs and patient backgrounds were compared between the two groups. RESULTS: A total of 323 eligible patients were identified. Discontinuations of SGLT2 inhibitors decreased in the 2020 group (p < 0.05). However, discontinuations due to frailty increased (p < 0.05). Hospitalization due to ADRs, specifically those due to urinary tract infections, diabetic ketoacidosis, or volume depletion, did not specifically decrease (p = 0.273). CONCLUSIONS: This study indicated that there has been some improvement in the awareness of the proper use of SGLT2 inhibitors and there is still a need to continue enlightenment activities.

Immunogenicity, safety and reactogenicity of Ad26.RSV.preF/RSV preF protein vaccine in adults aged 60 to 75 years: A comparison of phase 2b and phase 3 clinical trial material.

The Ad26.RSV.preF/RSV preF protein vaccine has previously demonstrated efficacyin protecting older adults against respiratory syncytial virus (RSV)-related lower respiratory tract disease in a phase 2b study. This study compared the immunogenicity of vaccine clinical trial material (CTM) representative of phase 2b clinical studies with CTM used in phase 3 clinical studies. A total of 248 adults aged 60-75 years, randomized in a 1:1 ratio, received one dose of either phase 3 CTM or phase 2b CTM. Solicited adverse events (AEs), unsolicited AEs, and serious AEs (SAEs) were assessed for 7-d, 28-d, and 6-month periods post-vaccination, respectively. RSV preF-ELISA antibody titers and RSV neutralizing titers were measured before and 14 d after vaccination. The phase 3 CTM-induced preF-ELISA response at Day 15, in terms of geometric mean titer, was shown to be non-inferior to that induced by phase 2b CTM. The RSV neutralizing antibody titers were also similar in the two groups at Day 15. The safety profile in terms of solicited AEs, unsolicited AEs, or SAEs was in general similar between the phase 3 CTM and phase 2b CTM groups, and solicited AEs were mostly mild to moderate in intensity. No related SAEs were reported, and no safety concerns were identified.

Effectiveness of Aerobic Training for Adverse Symptoms Related to Chemotherapy During Treatment: Protocol for a Randomized Controlled Trial With Cost-Effectiveness Assessment.

BACKGROUND: One strategy to prevent adverse effects resulting from chemotherapy treatment is to perform physical exercises during treatment. However, there is still no consensus on the best type and intensity of exercise, nor when it should be started. Most studies have been carried out in patients with breast cancer, usually a few weeks after starting chemotherapy, on an outpatient basis 2 to 3 times a week. The main differences in our study are that we carried out physical training in hospitalized patients undergoing a cycle of chemotherapy for cancer treatment and that this training was carried out 5 times a week and was not restricted to a specific type of cancer. OBJECTIVE: We aimed to evaluate the effects of aerobic training on symptoms related to chemotherapy (nausea, vomiting, asthenia, and sensation of weakness), fatigue, mobility, clinical complications, and length of hospital stay of patients during the drug treatment cycle. We also evaluated patient satisfaction with the proposed intervention, the adverse effects of aerobics training, and the cost-effectiveness of this intervention. METHODS: This is a controlled and randomized trial with blinded evaluation that will include 94 hospitalized patients with cancer for 1 or more cycles of chemotherapy. The intervention group will perform aerobic training during a cycle of chemotherapy. The control group will receive a booklet with guidelines for staying active during the hospitalization period. The groups will be compared using a linear mixed model for fatigue, mobility, and chemotherapy-related symptoms before and after the intervention. The length of hospital stay will also be compared between groups using Kaplan-Meier survival analysis. The incidence of complications will be compared using the χ2 test. Cost-effectiveness and cost-utility analyses will be performed for the impact of exercise and quality-adjusted life years with the EQ-5D-3L-21 quality of life trials. The implementation variables (acceptability, suitability, and feasibility) will be evaluated by frequencies. RESULTS: The clinical trial registration was approved in March 2023. Recruitment and data collection for the trial are ongoing, and the results of this study are likely to be published in late 2025. CONCLUSIONS: Chemotherapy has side effects that negatively impact the quality of life of patients with cancer. Aerobic exercise can reduce these side effects in a simple and inexpensive way. The field of work of physical therapists could be expanded to oncology if the intervention works. TRIAL REGISTRATION: Registro Brasileiro de Ensaios Clínicos RBR-6b4zwx3; https://tinyurl.com/39c4c7wz. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60828.

Physician-Reported Facilitators and Barriers for Side Effect Management of Heart Failure Medications.

BACKGROUND: Physician underprescribing and patient nonadherence are major barriers to the benefits of guideline-directed medical therapy. An important contributor to both underprescribing and patient nonadherence is concern about medication-related side effects. Yet, there are few to no data on approaches used by physicians to: (1) elicit medication-related side effects, (2) attribute these side effects to specific medications, and (3) take appropriate action. METHODS AND RESULTS: The authors conducted semistructured interviews with physicians to identify facilitators and barriers to each critical step of heart failure medication management: elicitation of side effects, attribution of side effects to a medication, and action in response to attributed side effects. Interviews were transcribed and coded using directed content analysis. For elicitation of potential side effects, limited patient communication and family discordance in reporting were key barriers, whereas guiding questions, measurement, and open channels of communication were key facilitators. For attribution of side effects, confounding from other medications, limited time for clinical encounters, and nonspecific symptoms were key barriers, whereas time-limited medication discontinuation trials and medication rechallenges were key facilitators. For taking action, challenges with weighing risks and benefits and physician fear about causing harm or interfering with other clinicians were barriers, whereas patient-physician communication and the results of a medication discontinuation trials and medication rechallenge were facilitators. CONCLUSIONS: This study generated key facilitators and barriers to 3 key aspects of heart failure medication management related to side effects that should drive future work to improve heart failure medication management.

Effect of chronic kidney disease on adverse drug reactions to anti-tubercular treatment: a retrospective cohort study.

INTRODUCTION: Patients with chronic kidney disease (CKD) are at increased risk of developing tuberculosis (TB). These patients may also be at higher risk of developing antitubercular treatment (ATT)-associated adverse drug reactions (ADRs). Although dose modification has been recommended, data regarding the impact of impaired kidney function on ATT-associated ADRs is sparse. We studied the incidence and profile of ATT-associated ADRs in patients with CKD and compared them with those with normal kidney function. METHODOLOGY: This retrospective study analyzed all patients initiated on ATT from January 2016 to August 2019. Patients were grouped into CKD and normal kidney function based on their eGFR. Data on ATT-associated ADRs were collected from medical records. Predictors of ADRs were assessed using univariable and multivariable logistic regression. Additionally, Propensity score matching and analysis were done for CKD and normal kidney function in 1:3 ratio. RESULTS: Of 1815 patients on ATT, 75 (4.1%) had CKD. ADRs were more frequent [36/75 (48.0%) vs. 239/1740 (13.7%), p ≤ 0.0001] and more severe [15/46 (32.6%) vs. 43/283 (15.1%), p = 0.010] in CKD than those with normal kidney function. The most common ADRs were hepatobiliary [23/75 (30.6%) vs. 156/1740 (8.9%), p ≤ 0.0001], neuropsychiatric [8/75(10.6%) vs. 21/1740(1.2%), p ≤ 0.0001], renal [4/75(5.3%) vs. 8/1740(0.4%), p = 0.001], and gastrointestinal [5/75(6.6%) vs. 34/1740 (1.9%), p = 0.020]. CKD was an independent predictor for ADRs (OR -4.96, 95% CI: 2.79-8.82; p ≤ 0.0001). The matched cohort showed similar results. CONCLUSION: ATT-associated ADRs were more common and severe in patients with CKD, despite drug dose modifications. Optimal dosing of ATT in CKD needs to be further evaluated.

Analysis and evaluation of factors contributing to the occurrence of immune-related adverse events with immune checkpoint inhibitors.

In recent years, there has been a growing trend in the use of immune checkpoint inhibitors (ICIs) for treating a larger patient population. However, it is important to note that immune-related adverse events (irAEs) frequently arise as a result. Therefore, precise patient monitoring becomes essential. We present the findings of a retrospective study conducted at the International University of Health and Welfare Narita Hospital (referred to as "our hospital") that aimed to identify risk factors linked to the occurrence of irAEs. The study focused on analyzing various factors, including therapeutic and lifestyle backgrounds, as well as laboratory values of patients who received ICI treatment and were subsequently diagnosed with irAE. The study included patients who met the eligibility criteria for ICIs (both single agent and combination therapy) as well as ICI in combination with anticancer drugs. The inclusion period for the study encompassed April 2020 to May 2022 at our hospital. The fifty patients were divided into two groups based on the severity of irAEs: the first group consisted of patients with irAE Grade 2 or lower (referred to as irAE Grade under 2), while the second group included patients with irAE Grade 3 or higher (referred to as irAE Grade over 3). Statistical analysis revealed significant differences in age (p=0.027) and CRP (C-reactive protein) levels (p=0.008) among the background factors when comparing the two groups. Additionally, statistically significant differences were observed among different ICI treatment groups in the occurrence of irAEs (p=0.035). however, it was indicated to be a relatively weak correlation. Moving forward, we shifted our focus to examine the frequency of irAEs in relation to exposure. However, we did not observe any significant correlation between exposure and irAE grade. Additionally, even when exposure was doubled through the use of ipilimumab in combination with ICIs (referred to as "Mod exposure"), no correlation was found. Exposure was further categorized into three groups: the PD-1 group, PD-L1 group, and PD-1 + CTLA-4 group. However, no significant correlation was observed between exposure in any of these groups and the grade of irAEs. Similarly, no significant correlation was observed between the dosage of ICI in the fixed-dose group and the weight-based dosage group with exposure and irAE Grade. Based on our study findings, there is a suggestive relationship between age and CRP levels and the occurrence of irAEs of Grade 3 or higher. These factors may play a role in contributing to the development of more severe irAEs.

A machine learning technology for addressing medication-related risk in older, multimorbid patients.

OBJECTIVES: To evaluate the FeelBetter machine learning system's ability to accurately identify older patients with multimorbidity at Brigham and Women's Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system's ability to provide accurate medication recommendations for these patients. STUDY DESIGN: Retrospective cohort study. METHODS: The system uses medications, demographics, diagnoses, laboratory results, health care utilization patterns, and costs to stratify patients' risk of ED visits and hospitalizations. Patients were assigned 1 of 22 risk levels based on their system-generated risk percentile of either ED visits or hospitalizations. Logistic regression models were used to estimate the odds of ED visits and hospitalizations associated with each successive risk level compared with the 45th to 50th percentiles. After stratification, 100 high-risk (95th-100th percentiles) and 100 medium-risk (45th-55th percentiles) patients were randomly selected for generation of medication recommendations. Two clinical pharmacists reviewed the system-generated medication recommendations for these patients. RESULTS: Logistic regression models predicting 3-month utilization showed that compared with the 45th to 50th percentiles, patients in the top 1% risk percentile had ORs of 7.9 and 17.3 for ED visits and hospitalizations, respectively. The first 5 high-priority medications on each patient's medication list were associated with a mean (SD) of 6.65 (4.09) warnings. Of 1290 warnings reviewed, 1151 (89.2%) were assessed as correct. CONCLUSIONS: The FeelBetter system effectively stratifies older patients with multimorbidity at risk of ED use and hospitalizations. Medication recommendations provided by the system are largely accurate and can potentially be beneficial for patient care.

Adverse events following immunization of co- and separate administration of DTaP-IPV/Hib vaccines: A real-world comparative study.

To fully understand the safety of DTaP-IPV/Hib vaccination, we evaluated the differences between DTaP-IPV/Hib co-administration and separate administration of the DTaP, IPV and Hib vaccines (DTaP+IPV+Hib) based on adverse events following immunization (AEFI). All AEFI reported in Hebei Province, China, between 2020 and 2022 were included in this study. The risk difference (RD%), relative risk (RR), and Chi-square value were used to compare the differences in reported rates of AEFI between the DTaP-IPV/Hib and DTaP+IPV+Hib groups. From 2020 to 2022, 130 AEFI cases were reported in Hebei Province after DTaP-IPV/Hib vaccination, corresponding to an AEFI reported rate of 66.9/million doses, which was significantly lower than that for DTaP+IPV+Hib (9836 AEFI with a reported rate of 637.8/million doses). The overall reported rate of non-severe AEFI for DTaP+IPV+Hib vaccines was 9.5 times that of DTaP-IPV/Hib vaccination [95% confidence interval (CI): 8.0, 11.3]. Meanwhile, the reported rate of AEFI among infants aged 0-1 y was 9.8 times higher for DTaP+IPV+Hib than for DTaP-IPV/Hib (95% CI: 8.2, 11.7). DTaP+IPV+Hib vaccination also resulted in higher risks of high fever, localized redness and swelling, localized induration, and allergic rash compared with DTaP-IPV/Hib vaccination. The risk of AEFI, which were mostly mild reaction, was higher after vaccination with DTaP+IPV+Hib than after DTaP-IPV/Hib vaccination.

Incidence of Adverse Events Using Flumazenil in Patients With Iatrogenic Benzodiazepine Delirium: A Retrospective Study.

BACKGROUND: Flumazenil is a competitive benzodiazepine (BZD) antagonist most used for treating delirium in BZD overdoses. Since its introduction, many have expressed concerns about its safety secondary to the risk of inducing BZD withdrawal and refractory seizures. STUDY QUESTION: What is the incidence of adverse drug events after the administration of flumazenil in patients with suspected iatrogenic BZD delirium? STUDY DESIGN: This is a retrospective cross-sectional study of patients from a single center from 2010 to 2013. Patients experiencing delirium after receiving BZDs in the hospital were included if they had a bedside toxicology consult and were administered flumazenil. Patients were excluded if they were given BZDs for ethanol withdrawal or if they did not have mental status documentation before and after flumazenil administration. Descriptive statistics were calculated. MEASURES AND OUTCOMES: The primary outcome was the incidence of adverse drug events after flumazenil administration. The secondary outcome was the efficacy of flumazenil determined by the patient's mental status. RESULTS: A total of 501 patient records were reviewed, and 206 patients were included in the final analysis. Of those patients, 172 (83.5%) experienced an objective improvement in their mental status within 1 hour after flumazenil administration. A total of 5 patients experienced adverse events (2.4%), 95% confidence interval (0.78, 5.54). Of these, 3 patients experienced minor agitation or restlessness without pharmacologic intervention. Two patients experienced moderate agitation or restlessness that resolved with haloperidol or physostigmine administration. No patients had a reported seizure, 95% confidence interval (0.0, 1.77). CONCLUSIONS: Flumazenil seems to be a safe and effective intervention for the reversal of delirium secondary to iatrogenic BZD administration.

Assessing the Benefits and Harms of Pharmacotherapy in Older Adults with Frailty: Insights from Pharmacoepidemiologic Studies of Routine Health Care Data.

The objective of this review is to summarize and appraise the research methodology, emerging findings, and future directions in pharmacoepidemiologic studies assessing the benefits and harms of pharmacotherapies in older adults with different levels of frailty. Older adults living with frailty are at elevated risk for poor health outcomes and adverse effects from pharmacotherapy. However, current evidence is limited due to the under-enrollment of frail older adults and the lack of validated frailty assessments in clinical trials. Recent advancements in measuring frailty in administrative claims and electronic health records (database-derived frailty scores) have enabled researchers to identify patients with frailty and to evaluate the heterogeneity of treatment effects by patients' frailty levels using routine health care data. When selecting a database-derived frailty score, researchers must consider the type of data (e.g., different coding systems), the length of the predictor assessment period, the extent of validation against clinically validated frailty measures, and the possibility of surveillance bias arising from unequal access to care. We reviewed 13 pharmacoepidemiologic studies published on PubMed from 2013 to 2023 that evaluated the benefits and harms of cardiovascular medications, diabetes medications, anti-neoplastic agents, antipsychotic medications, and vaccines by frailty levels. These studies suggest that, while greater frailty is positively associated with adverse treatment outcomes, older adults with frailty can still benefit from pharmacotherapy. Therefore, we recommend routine frailty subgroup analyses in pharmacoepidemiologic studies. Despite data and design limitations, the findings from such studies may be informative to tailor pharmacotherapy for older adults across the frailty spectrum.

Impact of serious adverse drug reactions on the quality of life of patients on highly active antiretroviral therapy in Maiduguri, northeast Nigeria: a four-year retrospective study.

ABSTRACTSerious adverse drug reactions (sADRs) have a serious impact on the progress being made in providing antiretroviral therapy. The presence of HIV/AIDS and its complications associated with sADRs, has a negative effect on the quality of life (QoL) of people living with HIV/AIDS (PLWHA). This was a descriptive retrospective cohort study of 400 adult HIV patients in which the QoL of PLWHA with sADRs was compared to patients that did not experience ADR who had been on antiretroviral therapy (ART) was followed up for 48 months using the WHOQOL-HIV BREF to measure QoL. Out of 400 patients, 373 (93.25%) respondents completed the study with an overall mean age was 40.8 years (SD ± 8.64). One hundred and ninety-nine patients (53.4%) reported to have experiencing sADR. The response consistently showed significantly higher mean scores in the QoL of patients who had no ADRs in the psychological, social and environments state of health domains compared to those who had ADRs with mean scores (P = 0.000, 0.037 and 0.028), respectively. This study revealed significantly higher scores in patients who had no ADRs compared to those who had ADRs. Low QoL due to serious ADR may add additional burden to HIV disease and complications, and the related discrimination often faced by PLWHA. This study would help clinicians pay serious attention to identifying and promptly managing ADR.

Prevalence of cardiovascular drug-related adverse drug reactions consultations in UK primary care: A cross-sectional study.

BACKGROUND: Adverse drug reactions (ADRs) represent a significant barrier to achieve optimal treatment outcomes. Cardiovascular drugs, including antihypertensive drugs, lipid-lowering drugs, and antithrombotic drugs, are among the most prescribed medications in the primary care setting. OBJECTIVES: To estimate the prevalence of cardiovascular drug-related ADRs consultations in United Kingdom (UK) primary care and identify risk factors of these ADRs. METHODS: This was a cross-sectional study of cardiovascular drug users between 2000-2019 using UK IQVIA Medical Research Data. ADRs consultations were identified using database screening method employing standardised designated codes. The overall and annual age-standardised prevalence was estimated using direct standardisation method using 2019 mid-year UK population. Risk factors of ADRs consultations were estimated using logistic regression model stratified by therapeutic areas. RESULTS: The standardised prevalence of consultations related to cardiovascular drugs ADRs was 10.60 (95% CI. 10.46, 10.75) per 1000 patients. Patients aged 70-79 years had the highest occurrence of ADRs consultations. The most frequently drug classes implicated in the ADRs consultations were statins (n = 9,993 events, 27.09%), beta-blockers (n = 8,538 events, 23.15%), ACEIs/ARBs (n = 8,345 events, 22.62%), and aspirin (n = 6,482 events, 17.57%). Risk factors of ADRs consultations were previous history of cardiovascular diseases, e.g., myocardial infarction and stroke; advanced age, comorbidities; diabetes and dyslipidaemia; and polypharmacy. CONCLUSIONS: The burden of cardiovascular drug-related ADRs consultations in primary care was considerable. Statins, beta-blockers, ACEIs/ARBs, and aspirin were the most frequently implicated drug classes. Closer clinical monitoring should be performed for patients affected by the ADRs to mitigate the risk of suboptimal treatment outcomes.

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.

Statistical Signal Detection Algorithm in Safety Data: A Proprietary Method Compared to Industry Standard Methods.

INTRODUCTION: Several quantitative methods have been established, in pharmacovigilance, to detect signals of disproportionate reporting (SDRs) from databases containing reports of adverse drug reactions (ADRs). The signal detection algorithms (SDAs) and the source of the reporting per product vary, but it is unclear whether any algorithm can provide satisfactory performance using data with such large variance factors. OBJECTIVE: Determine the appropriate SDA for Biogen's internal Global Safety Database (GSD) given the characteristics of the database including frequencies of events, data skewness, outliers, and missing information. Compare performance of standard approaches (EBGM, EB05, PRR, and ROR), well accepted by industry, to a Biogen-developed Machine Learning (ML) Regression Decision Tree (RDT) model, across several Biogen products, to determine a champion SDA. METHODS: All data associated with seven marketed Biogen products were chosen and a historical subset of reported ADRs were considered. Six SDAs (five common industry disproportionality methods) and RDT were evaluated. The SDRs were calculated on training and test data composed of quarterly reporting intervals from 2004-2019. The performance measures used were sensitivity, precision, time to detect new events, and frequency of detected cases for each algorithm for each product. Outcomes in the test data are known a priori and easily compared to predicted outcomes. Validation was performed via rates of misclassification. This work solely represents Biogen's internal information, intentionally chosen to serve the performance review of its signal detection systems, and results will not necessarily be generalizable to other external sources. RESULTS: Several algorithms performed differently among products, but no one method dominated any other. Performance was dependent on the thresholds used to define a signal according to different criteria. However, those different statistics subtly influenced the achievable performance. The relative performance of RDT and Medicines and Healthcare products Regulatory Agency (MHRA) algorithms were superior and paired across products. A reduction in precision for all methods spanning the products was present. Hence, companies evaluating signal detection approaches, search for innovative methods to minimize this effect. CONCLUSIONS: In designing signal detection systems, careful consideration should be given to the criteria that are used to define SDRs. The choice of disproportionality statistics does not affect the achievable range of signal detection performance. These choices should consider mainly ease of implementation and interpretation. The implementation of a method is specific to its accuracy. The RDT attempted to take advantage of known methods and compare results on a per-product basis. Many factors influencing ADRs may improve RDT in future efforts. In this experiment, RDT demonstrated superiority in terms of quickest time to detect and capturing of the highest number of ADRs. Next steps include expansion of data for products representing other indications and testing models in external databases to investigate generalizability of estimates when comparing SDAs.

Adverse drug reactions due to linezolid in the programmatic management of drug-resistant tuberculosis in India: A retrospective multicenter study.

BACKGROUND: Monitoring and managing adverse drug reactions (ADR) are critical for treating drug-resistant tuberculosis (TB). OBJECTIVE: To study symptomatic, linezolid-attributable ADRs in TB patients initiated on all oral longer bedaquiline-based treatment regime for multidrug-resistant/rifampicin-resistant (MDR/RR)-TB under programmatic conditions. METHODS: It was a multicenter, retrospective study of people with MDR/RR-TB in nine TB units in Nagpur, India, from March 2020 to April 2022. RESULTS: The study consisted of a sample size of 106 individuals with multidrug-resistant and rifampicin-resistant tuberculosis out of a total of 110 individuals with the disease. Of these, 45 (42.45%) experienced linezolid ADRs, with an incidence of 11.37 cases per 1000 person-weeks. These patients were significantly younger (31.24 ± 11.13 years) and more likely to be female (27, 50%) than those without ADRs. ADR severity was mild in 20 (44.45%), moderate in 15 (33.33%), and severe in 10 (22.22%) patients. The most common ADR was peripheral neuropathy (42, 93.33%), followed by lactic acidosis (3, 6.67%), anemia (2, 4.44%), and optic neuritis (2, 4.44%). Dosing was reduced in 17 (37.78%) patients, and linezolid was withdrawn entirely in 19 (42.22%) patients. Only 9 (20%) patients continued linezolid unmodified. For mild to moderate linezolid-associated symptomatic peripheral neuropathy, symptom management with or without dose reduction is an effective strategy; however, immediate linezolid withdrawal is necessary in severe or life-threatening peripheral neuropathy cases. After a mean follow-up of 41 ± 21.33 weeks, ADR symptoms resolved completely in 4 (6.67%) patients and decreased in 42 (93.33%) patients. CONCLUSION: Linezolid ADRs, often neuropathy, frequently occur in patients on an all-oral bedaquiline-based treatment regime for MDR/RR-TB. Women and younger patients are more likely to experience these ADRs, usually mild to moderate in severity. Management of symptomatic linezolid-associated peripheral neuropathy should be based on ADR severity. These ADRs often affect linezolid dosing, so it is important to identify and manage them early.

Adverse drug reactions in drug resistant pulmonary tuberculosis patients.

This study is conducted from year 2019-2022 in Gujarat Cancer Society medical college and research center, Ahmedabad. Out of total 275 patients on drug resistant TB regimen (all oral longer, shorter injectable and mono H) seen in opd, 55 patients presented with adverse drug reaction. Most commonly affected age group was 20-40 yr old. During the course of treatment 32.7% required hospitalization, of which 29% were admitted in ward, rest required ICU care. Maximum ADR occurred in first 30 days of starting ATT. Drug had to be withdrawn in 41.81% and in 32.7%, offending agent was withdrawn permanently. There was no mortality during the study.

Study of adverse drug reactions during the treatment of drug resistant tuberculosis.

BACKGROUND: Pharmacovigilance entails monitoring of patients for timely detection of ADR and reporting them so that more information about drug safety can be obtained. This may help in the future for dose modification or alteration of regimen. In NTEP, ADSm (Active Drug Safety monitoring) is part of pharmacovigilance. In this study we shall be studying ADRs to Anti TB drugs in DRTB. METHODOLOGY: This study is observational, retrospective and record based, of patients admitted from 2021 to 2023 in the DOTS ward of Respiratory Medicine Department of a tertiary care hospital in Goa. Data such as age, sex, regimen, date of AKT initiation and adverse effects documented has been noted and compiled. RESULTS: ADRs have been tabulated in the form of tables. Statistical analysis is done to find out the commonest ADR, time when they are likely to occur, which age and gender are most likely affected and if there are any other associated risk factors for ADRs. CONCLUSION: This study will enable in future to better monitor patients with regard to particular adverse drug reaction, patient safety and if needed to alter the regimen as early as possible.

The Longer the Therapy, the Worse the Severity of the Adverse Drug Reactions that Occur in Drug-Resistant Pulmonary Tuberculosis Patients.

BACKGROUND: It is estimated that drug-resistant (DR) Tuberculosis (TB) (DR-TB) patients in Indonesia are 2.40% of all new TB patients and 13% of previously treated TB patients with a total incidence of DR-TB cases of 24,000 people. The adverse drug reactions (ADRs) of DR-TB are still a problem that can certainly affect the success of therapy. The aim of this study was to determine the correlation between the length of therapy and regimen therapy of DR-TB with the severity of ADRs. METHODS: Data collection was carried out retrospectively on the medical records of DR-TB patients in 2020-2021 and sampling used a purposive sampling technique that complied with the inclusion criteria. RESULTS: Of the 86 patients, the majority of DR-TB patients in X Hospital were 26-45 years old 35 (40.7%), 52 (60.5%) male, the most common comorbid was type II DM, 19 (22.1%), and the most nutritional status was malnutrition as much as 39 (45.3%). The most common type of ADR was hyperuricemia in 31 (36.0%). The results of the correlation analysis showed that there was a relationship between the length of therapy and the severity of ADRs (ρ = 0.002) and there was no relationship between the type of therapy regimen and the severity of ADRs (ρ = 0.184). CONCLUSION: The longer DR-TB therapy, the higher the severity of ADRs and there is no relationship between the type of therapy regimen and the severity of ADRs.

Real-World Data-Derived Pharmacovigilance on Drug-Induced Cognitive Impairment Utilizing a Nationwide Spontaneous Adverse Reporting System.

Background and Objectives: Despite high incidences of cognitive impairment with aging, evidence on the prevalence and the seriousness of drug-induced cognitive impairment is limited. This study aims to evaluate the prevalence and the severity of drug-induced cognitive impairment and to investigate the clinical predictors of increased hospitalization risk from serious drug-induced cognitive impairment. Materials and Methods: Adverse drug events (ADEs) regarding drug-induced cognitive impairment reported to the Korean Adverse Event Reporting System Database (KAERS DB) from January 2012 to December 2021 were included (KIDS KAERS DB 2212A0073). The association between the etiologic classes and the reporting serious adverse events (SAEs) was evaluated using disproportionality analysis, and the effect was estimated with reporting odds ratio (ROR). Clinical predictors associated with increased risk of hospitalization from SAEs were identified via multivariate logistic analysis, and the effect was estimated with odds ratio (OR). Results: The most etiologic medication class for drug-induced cognitive impairment ADEs was analgesics, followed by sedative-hypnotics. Anticancer (ROR 57.105, 95% CI 15.174-214.909) and anti-Parkinson agents (ROR 4.057, 95% CI 1.121-14.688) were more likely to report serious drug-induced cognitive impairments. Male sex (OR 19.540, 95% CI 2.440-156.647) and cancer diagnosis (OR 18.115, 95% CI 3.246-101.101) are the major clinical predictors for increased risk of hospitalizations due to serious drug-induced cognitive impairment. Conclusions: This study highlights the significant prevalence and severity of drug-induced cognitive impairment with cancer diagnosis and anticancer agents. However, further large-scaled studies are required because of the potential underreporting of drug-induced cognitive impairments in real practice settings, which is further contributed to by the complexity of multiple contributing factors such as comorbidities.