Deleterious association between proton pump inhibitor and protein kinase inhibitor exposure and survival for patients with lung cancer: A nationwide cohort study.

INTRODUCTION: Previous studies have identified an interaction between protein kinase inhibitors (PKIs) and proton pump inhibitors (PPIs) in patients with lung cancer. This type of interaction may reduce the efficacy of PKIs. However, the effect of PKI-PPI interaction on patient mortality remains controversial. This study set out to determine the impact of PKI-PPI interaction on overall survival for lung cancer patients. MATERIALS AND METHODS: This study was conducted using data from the French National Health Care Database from January 1, 2011 to December 31, 2021. We identified patients with: (i) an age equal to or greater than 18 years; (ii) lung cancer; and (iii) at least one reimbursement for one of the following drugs: erlotinib, gefitinib, afatinib and osimertinib. Patients were followed-up between the first date of PKI reimbursement and either December 31, 2021 or if they died, the date on which death occurred. The cumulative exposure to PPI duration during PKI treatment was calculated as the ratio between the number of concomitant exposure days to PKI and PPI and the number of exposure days to PKI. A survival analysis using a Cox proportional hazards model was then performed to assess the risk of death following exposure to a PKI-PPI interaction. RESULTS: 34,048 patients received at least one reimbursement for PKIs of interest in our study: 26,133 (76.8 %) were exposed to erlotinib; 3,142 (9.2 %) to gefitinib; 1,417 (4.2 %) to afatinib; and 3,356 (9.9 %) to osimertinib. Patients with concomitant exposure to PKI-PPI interaction during 20 % or more of the PKI treatment period demonstrated an increased risk of death (HR, 1.60 [95 % CI, 1.57-1.64]) compared to other patients. When this cut-off varied from 10 % to 80 %, the estimated HR ranged from 1.46 [95 % CI, 1.43-1.50] to 2.19 [95 % CI, 2.12-2.25]. DISCUSSION/CONCLUSION: In our study, an elevated risk of death was observed in patients exposed to PKI-PPI interaction. Finally, we were able to identify a dose-dependent effect for this interaction. This deleterious effect of osimertinib and PPI was revealed for the first time in real life conditions.

Drug-induced depressive symptoms: An update through the WHO pharmacovigilance database.

BACKGROUND: Depression is a highly incident condition and some drugs have been described as inducing or worsening depression. However, literature on this topic is rare and possibly outdated. METHODS: We performed disproportionality analyses using VigiBase®, the largest pharmacovigilance database worldwide to identify drugs associated with depression. Then we excluded drugs already known as depressogenic according to American Summary of Product Characteristics (SPC). We then reviewed drug mechanism of action, scientific literature and European SPC for each drug identified to assess a level of plausibility. We measured Reporting Odds Ratio (ROR) statistically significant and superior to 1, suggesting a significant association between a drug and the reporting of depressive symptoms. RESULTS: Out of the 5237 drugs extracted on VigiBase®, we have retained 89 new drugs associated with depression. More than half of drugs of interest are from nervous system. Opicapone (ROR: 20.66 95 %CI: 15.62-27.33), and gadoversetamide (ROR 18.62, 95 %CI 9.63-35.95) were the drugs with the highest ROR. Among the 89 drugs, 38 were considered already described such as suvorexant or ivacaftor, 20 likely associated such as anti-migraines drugs or new antipsychotic drugs and 31 potentially associated. LIMITATIONS: Pharmacovigilance studies have many inherent limitations, such as under-reporting bias, notoriety effect and protopathic bias. These results are not intended to establish a causal link, only a statistical association. CONCLUSION: We found a strong statistical signal and pharmacological plausibility for 58 new depressogenic drugs. This update list of suspected drugs may prove useful for doctors faced with potential cases of drug-induced depression or to stay aware in case. Other studies are needed to confirm the list.

Drug-induced tumoral disease: A global pharmacovigilance database analysis.

INTRODUCTION: Cancer remains a worldwide threat, having caused almost 10 million deaths in 2020. The American Cancer Society has identified both known and probable carcinogens, including commonly used drugs. The aim of this study is to describe the drugs most frequently reported in the occurrence of cancer. METHODS: Among all individual case safety reports (ICSRs) in the global pharmacovigilance database VigiBase, we searched for the 50 most reported drugs with an adverse drug reaction term belonging to the query "Malignant or unspecified tumors" until June 30, 2023. Then, we extracted the disproportionality measurement data, information component (IC), and reporting odds ratio (ROR) in order to assess a disproportionality signal. RESULTS: Among all ICSRs in VigiBase, 871,925 contained an ADR belonging to the SMQ "Malignant or unspecified tumors". Ranitidine was the drug with the most reported ADRs related to cancer (n=106,484), followed by lenalidomide (n=13,466), and etanercept (n=8014). The drugs with the highest IC were ranitidine (IC=5.2, 95% confidence interval [95% CI]=5.2-5.2), pioglitazone (1353 ICSRs, IC=4.2, 95% CI=4.2-4.2), and regorafenib (1272 ICSRs, IC=2.8, 95% CI=2.8-2.8). DISCUSSION: Our results show that the main pharmacological mechanisms are associated with ranitidine (link with levels of N-nitrosodimethylamine in ranitidine-based drugs), gene-activating drugs (pioglitazone: link with agonist effects on PPAR-γ gene activation), various pharmacological families with immunosuppressive effects (protein kinase inhibitors, immunomodulators, azathioprine, etc.), certain types of protein kinase inhibitors whose oncogenic mechanisms remain unclear (regorafenib, sorafenib, imatinib, ibrutinib, etc.), and hormone antagonists (tamoxifen, letrozole). Special monitoring of patients exposed to these drugs may be required. Further studies are needed to assess the risk with certain drugs in this ranking.

Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice.

PURPOSE: Recently, there has been a growing interest in using ChatGPT for various applications in Medicine. We evaluated the interest of OpenAI chatbot (GPT 4.0) for drug information activities at Toulouse Pharmacovigilance Center. METHODS: Based on a series of 50 randomly selected questions sent to our pharmacovigilance center by healthcare professionals or patients, we compared the level of responses from the chatbot GPT 4.0 with those provided by specialists in pharmacovigilance. RESULTS: Chatbot answers were globally not acceptable. Responses to inquiries regarding the assessment of drug causality were not consistently precise or clinically meaningful. CONCLUSION: The interest of chatbot assistance needs to be confirmed or rejected through further studies conducted in other pharmacovigilance centers.

Incidence of heart failure following exposure to a protein kinase inhibitor, a French population-based study.

AIMS: Pharmacovigilance signals of heart failure (HF) following exposure to protein kinase inhibitors (PKIs) have been detected in recent years. Our aim was to identify the PKIs most frequently associated with the development of HF. METHODS: Using the French National Healthcare Database, all patients newly exposed to a PKI between January 2011 and June 2014 were followed up for 18 months. Specific hospitalization diagnosis and long-term HF-related disease codes were used to identify HF patients. HF incidence rate ratios (IRRs) were measured and adjusted hazard ratios (aHRs) were estimated using a Cox model. Sensitivity analyses were performed to limit the potential indication and competitive risk bias. RESULTS: Thirteen PKIs were studied. Among the 49 714 new PKI users registered during the study period, the mean IRR of HF was 3.38 per 100 person-years, with a median time to onset of 155 days. We found a significant increase in the incidence of HF for six medicinal products: pazopanib (aHR = 2.42, 95% confidence interval [CI] 1.67-3.52), dasatinib (aHR = 2.22, 95% CI 1.42-3.44), ruxolitinib (aHR = 2.11, 95% CI 1.69-2.64), crizotinib (aHR = 1.71, 95% CI 1.07-2.72), everolimus (aHR = 1.45, 95% CI 1.26-1.67) and vemurafenib (aHR = 1.37, 95% CI 1.01-1.86). Sensitivity analyses were consistent with our primary analysis. CONCLUSIONS: The current study provides knowledge on HF following exposure to a PKI. Additional studies could confirm these results for dasatinib, everolimus, pazopanib and ruxolitinib, and particularly for the two medicinal products with results slightly above the significance threshold, namely, crizotinib and vemurafenib, in our sensitivity analyses.

Fluoroquinolone-Induced Photosensitivity: A Chemical Fragment-Based Approach by a Case/Non-case Study in VigiBase®.

INTRODUCTION: Fluoroquinolones are widely used to treat bacterial infections. Many in vitro and in vivo studies have established a chemical relationship between fluoroquinolones' particular chemical structure and photosensitivity. The aim of this study was to establish a relationship between the chemical structure of fluoroquinolones and the risk of photosensitivity adverse effects from real-world data. METHODS: All the Individual Case Safety Reports (ICSRs) related to fluoroquinolones and registered in the World Health Organization global database (VigiBase®) up to December 31, 2017 were collected. A disproportionality analysis was performed in order to quantify the photosensitivity risk for each fluoroquinolone by calculating their reporting odds ratio (ROR). RESULTS: Up to December 31, 2017, 282,805 ICSRs related to fluoroquinolones were selected, of which 1647 were photosensitivity adverse event cases. Sparfloxacin had the highest adjusted ROR of 161.10 (95% confidence interval [CI] 133.66-194.02) followed by grepafloxacin (40.30 [26.30-59.60]) closely followed by lomefloxacin (32.61 [28.61-37.07]), then enoxacin (11.04 [8.33-14.32]) and fleroxacin (8.22 [5.06-12.56]). CONCLUSION: This study confirms the high reporting rate of photosensitivity adverse effects for sparfloxacin from real-world data. Moreover, our data suggest more photosensitivity adverse effects reporting for fluoroquinolones with a halogen at their 8th position.