PubMed دسترسی آزاد

Increased reporting of interstitial pneumonitis with combined EGFR-TKI and PD-1/PD-L1 inhibitor therapy in NSCLC: a pharmacovigilance analysis of 67,818 reports.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

IMPORTANCE: Both epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) and PD-1/PD-L1 inhibitors are widely used in non-small cell lung cancer (NSCLC). The safety of their combination, particularly the risk of interstitial pneumonitis (IP), remains unclear but has critical implications for treatment strategies. OBJECTIVE: To evaluate reporting patterns of IP associated with EGFR-TKI monotherapy, PD-1/PD-L1 inhibitor monotherapy, and their combination among NSCLC cases. DESIGN: Retrospective, observational pharmacovigilance study using reports from the US Food and Drug Administration Adverse Event Reporting System (FAERS) submitted from January 1, 2015, to December 31, 2024. Multivariable logistic regression was applied to estimate adjusted odds ratios (aORs) with 95% CIs. SETTING: Spontaneous adverse event reporting system capturing voluntary reports submitted globally by healthcare professionals, patients, and manufacturers; it is not a population-based registry, and the total number of patients exposed to each drug is unknown. PARTICIPANTS: A total of 67,818 NSCLC-related FAERS reports were identified, including 13,678 reporting EGFR-TKI monotherapy, 30,722 reporting PD-1/PD-L1 inhibitor monotherapy, and 307 reporting co-reported combination therapy. Reports were included if they indicated NSCLC and exposure to at least one EGFR-TKI or PD-1/PD-L1 inhibitor. IP was defined using standardized MedDRA preferred terms. RESULTS: Among 67,818 NSCLC reports, 3,970 (5.85%) included IP-related preferred terms. The reporting proportions were 4.88% (668/13,678) for EGFR-TKIs, 10.59% (3,254/30,722) for PD-1/PD-L1 inhibitors, and 15.64% (48/307) for combination therapy. Compared with EGFR-TKIs, PD-1/PD-L1 inhibitors were associated with higher adjusted reporting odds (aOR, 1.77; 95% CI, 1.60-1.96), and combination therapy showed the highest adjusted reporting odds (aOR, 3.46; 95% CI, 2.46-4.88). Agent-specific variation was observed: durvalumab plus EGFR-TKI (IP reporting proportion, 47.22%; aOR, 16.58; 95% CI, 7.89-35.51) and nivolumab plus EGFR-TKI (IP reporting proportion, 21.05%; aOR, 4.26; 95% CI, 2.57-6.79) showed the highest reporting odds, whereas pembrolizumab plus EGFR-TKI (3.85%) and atezolizumab plus EGFR-TKI (5.06%) did not show significantly increased reporting odds; these small combination subgroups are exploratory. CONCLUSIONS AND RELEVANCE: In this large FAERS-based pharmacovigilance analysis, combination therapy with EGFR-TKIs and PD-1/PD-L1 inhibitors was associated with markedly increased reporting of IP, with apparent heterogeneity across agents. As a spontaneous-reporting study without a defined denominator, these findings reflect a reporting association and safety signal rather than a confirmed clinical risk estimate. They support continued pharmacovigilance and prospective studies to clarify the safety of combining these therapies in NSCLC.

متن کامل اصلی

نسخه دارای مجوز در منبع علمی در دسترس است.

لینک مستقیم از metadata منبع گرفته شده و در تب جدید باز می‌شود.

باز کردن متن کامل

کلیدواژه‌ها

EGFR-TKINSCLCPD-1/PD-L1 inhibitorinterstitial pneumonitispharmacovigilance analysis
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2026

GLP-1R expression and dermatological diseases: a mendelian randomization and real-world study.

BACKGROUND: Although glucagon-like peptide-1 receptor (GLP-1R) is widely expressed in multiple tissues and organs including skin and subcutaneous tissue, with diverse physiological roles in metabolism and immunity, the potential causal association between GLP-1R expression and dermatological diseases remains unclear. METHODS: Available cis-expression quantitative trait loci (cis-eQTLs) were selected as genetic instruments for GLP-1R ex…

PubMed2026

Machine learning-driven pharmacovigilance of antidiabetic drugs: comparative reporting patterns and classification of serious adverse events.

PURPOSE: This study aims to evaluate the comparative adverse drug event (ADE) reporting patterns associated with antidiabetic drugs and develop machine learning (ML)-based classification models for the seriousness of reported ADEs. METHODS: We performed a retrospective analysis of 28,633 antidiabetic-related ADEs reported to the Korea Institute of Drug Safety and Management- Korea Adverse Event Reporting System database (KAERS DB 2505A…

PubMed2026

Artificial Intelligence Across the Pharmaceutical Life Cycle: Implications for Industry-Based Clinical Pharmacists.

Artificial intelligence (AI) is increasingly shaping the pharmaceutical industry. This ACCP commentary examines the implications of AI for industry-based clinical pharmacists across the pharmaceutical life cycle, including drug development, regulatory affairs, medical affairs, health economics and outcomes research, and pharmacovigilance. Artificial intelligence-enabled tools may support target identification, clinical trial design, re…

PubMed2026

FAERS-based pharmacovigilance study of sevoflurane-associated adverse events: A 20-year comprehensive analysis.

BACKGROUND: Sevoflurane, an ether-derived inhalational anesthetic widely used for general anesthesia, requires comprehensive safety evaluation. OBJECTIVES: This study aimed to identify sevoflurane-associated adverse events and detect unexpected safety signals using data from the FDA Adverse Event Reporting System (FAERS). METHODS: We analyzed FAERS data from the first quarter of 2004 through the first quarter of 2024, applying four dis…