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.

BACKGROUND: The potentially fatal attacks experienced by porphyria carriers are triggered by various porphyrinogenic drugs. However, determining the safety of particular drugs is challenging.
METHODS: We retrospectively used the U.S. Food and Drug Administration\'s Adverse Event Reporting System (FAERS) to identify drugs associated with porphyria as an adverse event (AE) extracted from data from January 2004 to March 2022. The associated search terms included \"Porphyria,\" \"Porphyria screen,\" \"Porphyria non-acute,\" \"Porphyria acute,\" \"Acquired porphyria,\" and \"Pseudoporphyria.\" Signal mining analysis was performed to identify the association between drugs and AEs by four algorithms, namely the reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker.
RESULTS: FAERS reported 1470 cases of porphyria-related AEs, and 406 drugs were screened after combining trade and generic names. All four algorithms identified 52 drugs with signals. The characteristics of all the reports and signaling drugs were analyzed.
CONCLUSIONS: This is the first report of drug-associated porphyria that provides critical information on drug porphyrogenicity, facilitating rational and evidence-based drug prescription and improving the accuracy of porphyrogenicity prediction based on model algorithms. Moreover, this study serves a reference for clinicians to ensure that porphyrinogenic drugs are not prescribed to carriers of porphyria genetic mutations.

Stevens-Johnson Syndrome (SJS) constitutes a rather uncommon, and rarely fatal hypersensitivity reaction that primarily impacts the skin and mucous membranes and in certain cases may be attributed to drug administration. The aim of this article is to present a case of etoricoxib-induced SJS in a 46-year-old, female patient. The patient presented herself, as a medical emergency, to the Department of Oral Medicine/Pathology, School of Dentistry, Aristotle University of Thessaloniki, Greece, reporting pain, especially acute pain while eating certain foods, discomfort, dysphagia, and a wound in the left half of the hard palate. The clinical examination revealed a broad ulcer, in the left half of the hard palate as well as multiple ulcerations and erosions in the upper and lower lip. Her medical history was clear; however, the patient mentioned to have received etoricoxib, due to severe back pain, one day prior to our clinical examination. The patient received methylprednisolone 16 mg, twice per day, for two days, followed by methylprednisolone 8 mg, twice per day, for two more days. Her symptoms resigned and since the connection between etoricoxib and SJS was established, the patient was advised to avoid etoricoxib and be wary of adverse effects, when taking drugs especially non-steroidal anti-inflammatory medication. This is one of the first case reports in the literature, linking etoricoxib administration with the emergence of SJS, highlighting the importance of pharmacovigilance. The up-to-date registration of drug-induced adverse effects is of immense importance to protect future patients. SJS does not have a defined treatment strategy. Therefore, most patients are given supportive care and symptomatic treatment, which most commonly involves corticosteroids and antivirals such as acyclovir.

There is no gold-standard trigger for detecting drug-induced respiratory disorders, a type of Adverse Drug Event (ADE) with high morbimortality, particularly in older people.
To propose and evaluate the performance of triggers for detecting hospitalizations related to drug-induced respiratory disorders in older people.
A pilot cross-sectional study was conducted with older people (age ≥ 60) admitted to a Brazilian hospital. Electronic chart documentation was screened using ICD-10 codes; Global Trigger Tool (GTT); and drugs potentially associated with respiratory disorders. A chart and medication review were conducted to perform the causality assessment using the instrument developed by the World Health Organization. The performance of triggers was evaluated by the Positive Predictive Value (PPV), with values ≥ 0.20 indicating good performance.
Among 221 older people, 72 were eligible. Potential drug-induced dyspnea and/or cough were detected in six older people (6/72), corresponding to a prevalence of 8.3 %. The overall PPV of the triggers was 0.14, with abrupt medication stop (PPV = 1.00), codeine (PPV = 1.00), captopril (PPV = 0.33), and carvedilol (PPV = 0.33) showing good performance. Two triggers were proposed for detecting therapeutic ineffectiveness associated with respiratory disorders: furosemide (PPV = 0.23) and prednisone (PPV = 0.20).
The triggers enabled the identification that one in 12 hospitalizations was related to drug-induced respiratory. Although good performance was observed in the application of triggers, additional investigations are needed to assess the feasibility of incorporating them into clinical practice for the screening, detection, management, and reporting of these ADEs, which are considered to be underreported and difficult to detect.

BACKGROUND: Fatigue is an immune-related adverse event (irAE) associated with immune checkpoint inhibitors (ICIs) used for cancer treatment. Chinese herbal medicines (Ho-zai) are used to treat cancer-related fatigue. However, no interactions between ICIs and Ho-zai have been reported. Herein, we investigated the risk of irAEs associated with the concomitant use of ICIs and Ho-zai.
METHODS: We extracted data of patients who used ICI and Ho-zai from the Japanese Adverse Event Reporting Database. The proportional reporting ratio (PRR) was calculated for patients using ICI, Ho-zai, or both. We focused on cases of interstitial lung disease (ILD) and colitis, which were among the most severe cases of irAEs among these patients. The shrinkage method used by the World Health Organization-Uppsala Monitoring Center was used to detect the interactions.
RESULTS: Of the 799,670 patients in the database, 77,219, 2060, and 92 were using ICIs, Ho-zai, and combination treatment, respectively. The ILD and colitis groups included 39,388 and 17,522 patients, respectively. ILD signals were detected for both ICIs and Ho-zai. There were 24 cases of patients treated with concomitant ICIs and Ho-zai who developed ILD. For all combinations of all ICIs and all Ho-zai, Ω025 was negative, which suggested no ILD-related interactions. Colitis signals were detected for ICIs except for atezolizumab, avelumab, and durvalumab. There were eight patients treated with concomitant ICI and Ho-zai who developed colitis. For all combinations of all ICIs and all Ho-zai, Ω025 was negative, which suggested no colitis-related interactions.
CONCLUSIONS: To our knowledge, this is the first study to investigate interactions between ICIs and Ho-zai. Signals were detected for ILD in both ICI and Ho-zai groups, and colitis in the ICI group. However, the combined use of these treatments did not increase the risk of irAEs.

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.
METHODS: 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.
CONCLUSIONS: 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.

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.
CONCLUSIONS: 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.

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.
OBJECTIVE: 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.

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.

BACKGROUND: Adverse events associated with vaccination have been evaluated by epidemiological studies and more recently have gained additional attention with the emergency use authorization of several COVID-19 vaccines. As part of its responsibility to conduct postmarket surveillance, the US Food and Drug Administration continues to monitor several adverse events of special interest (AESIs) to ensure vaccine safety, including for COVID-19.
OBJECTIVE: This study is part of the Biologics Effectiveness and Safety Initiative, which aims to improve the Food and Drug Administration\'s postmarket surveillance capabilities while minimizing public burden. This study aimed to enhance active surveillance efforts through a rules-based, computable phenotype algorithm to identify 5 AESIs being monitored by the Center for Disease Control and Prevention for COVID-19 or other vaccines: anaphylaxis, Guillain-Barré syndrome, myocarditis/pericarditis, thrombosis with thrombocytopenia syndrome, and febrile seizure. This study examined whether these phenotypes have sufficiently high positive predictive value (PPV) to ensure that the cases selected for surveillance are reasonably likely to be a postbiologic adverse event. This allows patient privacy, and security concerns for the data sharing of patients who had nonadverse events can be properly accounted for when evaluating the cost-benefit aspect of our approach.
METHODS: AESI phenotype algorithms were developed to apply to electronic health record data at health provider organizations across the country by querying for standard and interoperable codes. The codes queried in the rules represent symptoms, diagnoses, or treatments of the AESI sourced from published case definitions and input from clinicians. To validate the performance of the algorithms, we applied them to electronic health record data from a US academic health system and provided a sample of cases for clinicians to evaluate. Performance was assessed using PPV.
RESULTS: With a PPV of 93.3%, our anaphylaxis algorithm performed the best. The PPVs for our febrile seizure, myocarditis/pericarditis, thrombocytopenia syndrome, and Guillain-Barré syndrome algorithms were 89%, 83.5%, 70.2%, and 47.2%, respectively.
CONCLUSIONS: Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.