Cardiovascular toxicity associated with angiogenesis inhibitors: A comprehensive pharmacovigilance analysis based on the FDA Adverse Event Reporting System database from 2014 to 2021

A Real-World Disproportionality Analysis of Drug-Induced Immune Hemolytic Anemia in the FDA Adverse Event Reporting System

BACKGROUND

Drug-induced immune hemolytic anemia (DIIHA) is a rare but potentially life-threatening pharmacogenic hematological adverse effect. Updating the risk of DIIHA among the currently available drugs based on spontaneously reported adverse event data is of great significance.

OBJECTIVE

This study aimed to identify the top 50 drugs associated with immune hemolytic anemia in adults as well as common drugs that could cause immune hemolytic anemia in children based on the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database.

METHODS

We extracted adverse events (AE) in the FAERS database from Q1 2004 to Q3 2022 using Open vigil2.1. We use the high-level term "anaemias haemolytic immune" according to the Medical Dictionary for Regulatory Activities (MedDRA) Dictionary (version 24.0). The reported correlation between drugs and DIIHA risk was identified by reported odds ratio (ROR) and proportional reporting ratio (PRR).

RESULTS

There were 10500309 AEs in FAERS from 2004Q1 to 2022Q3, of which 2326 (0.02%) were DIIHA cases. The incidence of DIIHA is comparable between males and females. The most common drugs associated with DIIHA in adults and children are summarized according to the number of AE reports. The top 3 categories in terms of quantity of drugs are antineoplastic agents, immunosuppressants, and antibiotics for systemic use. The top 5 drugs in terms of ROR and PRR are alemtuzumab, daclizumab, fludarabine, busulfan, and bendamustine in adults, with entecavir, treosulfan, vinorelbine, pegademase, and alemtuzumab for children.

CONCLUSIONS

Our study identified the most common drugs that could induce DIIHA in adults and children, as well as the respective ROR and PRR value to discover new drug signals. This study provides references to clinicians for the management of rare DIIHA.

Cardiovascular toxicities following the use of tyrosine kinase inhibitors in hepatocellular cancer patients: a retrospective, pharmacovigilance study

BACKGROUND

Cardiac adverse events (AEs) are common in tyrosine kinase inhibitors(TKIs). This study explored the cardiac AEs of TKIs through the Food and Drug Administration's Adverse Event Reporting System (FAERS).

METHODS

Disproportionality analysis and Bayesian analysis were utilized for data mining of the suspected cardiac AEs of TKIs, based on FAERS data from January 2004 to December 2021.

RESULTS

A total of 4708 cardiac AEs reports of sorafenib, regorafenib, lenvatinib, and cabozantinib were identified. Hypertension accounts for the most reported cardiac AE. Lenvatinib appears to induce cardiac failure with the highest signals strength [ROR = 7.7 (3.46,17.17)]. Acute myocardial infarction was detected in lenvatinib [ROR = 7.91 (5.64,11.09)] and sorafenib [ROR = 2.22 (1.74, 2.84)]. Acute coronary syndrome was detected in lenvatinib [ROR = 11.57 (6.84, 19.58)] and sorafenib [ROR = 2.81 (1.87,4.24)]. Atrial fibrillation was detected in sorafenib [ROR = 1.82 (1.55,2.14)] and regorafenib [ROR = 1.36 (1.03,1.81)]. Meanwhile, aortic dissections were detected in sorafenib [ROR = 5.08 (3.31,7.8)] and regorafenib [ROR = 3.39 (1.52,7.56)]. Most patients developed hypertension and cardiac failure within 30 days of initiating TKI treatments. Patients taking lenvatinib had an increased incidence of developing acute coronary syndrome after 180 days of treatment.

CONCLUSION

Analysis of FAERS data provides a precise profile on the characteristics of cardiac AEs associated with different TKI regimens. Distinct monitoring and appropriate management are needed in the care of TKI recipients.

Chronic diseases spectrum and multimorbidity in elderly inpatients based on a 12-year epidemiological survey in China

BACKGROUND

The number and proportion of the elderly population have been continuously increasing in China, leading to the elevated prevalence of chronic diseases and multimorbidity, which ultimately brings heavy burden to society and families. Meanwhile, the status of multimorbidity tends to be more complex in elderly inpatients than community population. In view of the above concerns, this study was designed to investigate the health status of elderly inpatients by analyzing clinical data in Chinese People's Liberation Army (PLA) General Hospital from 2008 to 2019, including the constitution of common diseases, comorbidities, the status of multimorbidity, in-hospital death and polypharmacy among elderly inpatients, so as to better understand the diseases spectrum and multimorbidity of elderly inpatients and also to provide supporting evidence for targeted management of chronic diseases in the elderly.

METHODS

A clinical inpatients database was set up by collecting medical records of elderly inpatients from 2008 to 2019 in Chinese PLA General Hospital, focusing on diseases spectrum and characteristics of elderly inpatients. In this study, we collected data of inpatients aged ≥ 65 years old, and further analyzed the constitution of diseases, multimorbidity rates and mortality causes in the past decade. In addition, the prescriptions were also analyzed to investigate the status of polypharmacy in elderly inpatients.

RESULTS

A total of 210,169 elderly patients were hospitalized from January 1st, 2008 to December 31st, 2019. The corresponding number of hospitalizations was 290,833. The average age of the study population was 72.67 years old. Of the total population, 73,493 elderly patients were re-admitted within one year, with the re-hospitalization rate of 25.27%. Malignant tumor, hypertension, ischemic heart disease, diabetes mellitus and cerebrovascular disease were the top 5 diseases. Among the study population, the number of patients with two or more long-term health conditions was 267,259, accounting for 91.89%, with an average of 4.68 diseases. In addition, the average number of medications taken by the study population was 5.4, among which, the proportion of patients taking more than 5 types of medications accounted for 55.42%.

CONCLUSIONS

By analyzing the constitution of diseases and multimorbidity, we found that multimorbidity has turned out to be a prominent problem in elderly inpatients, greatly affecting the process of healthy aging and increasing the burden on families and society. Therefore, multidisciplinary treatment should be strengthened to make reasonable preventive and therapeutic strategies to improve the life quality of the elderly. Meanwhile, more attention should be paid to reasonable medications for elderly patients with multimorbidity to avoid preventable side effects caused by irrational medication therapy.

A pharmacovigilance study of adverse event profiles and haemorrhagic safety of bevacizumab based on the FAERS database

BACKGROUND

Bevacizumab is used for the treatment of advanced malignant tumors; it acts by inhibiting angiogenesis. This study aimed to examine adverse events (AEs) of bevacizumab, especially hemorrhage, using the Food and Drug Administration Adverse Event Reporting System (FAERS) database.

RESEARCH DESIGN AND METHODS

The reporting odds ratio (ROR) and proportional reporting ratio (PRR) were used to analyze the AEs of bevacizumab using FAERS registration data from January 2004 to September 2022. Clinical information regarding hemorrhagic signals was further analyzed.

RESULTS

The number of bevacizumab-associated AE reports was 96,477. Our study found that 892 significant preferred terms (PTs) were spread throughout 25 organ systems. The system organ classes (SOCs) focus on general disorders, administration site conditions, blood and lymphatic system disorders, injury, poisoning, and procedural complications. A total of 2,847 bevacizumab-related hemorrhage cases were reported, and 37 hemorrhagic signals were identified. Hemorrhagic signals were focused on SOC levels in vascular, gastrointestinal, and nervous system disorders. Colorectal, lung, and breast cancers are the three most common malignancies associated with BV-induced hemorrhage.

CONCLUSION

The AE report from the present study confirms the majority of label information for bevacizumab, while also identifying new AEs. In addition, this was a large descriptive study of bevacizumab-induced hemorrhage.

Major adverse cardiovascular events of vascular endothelial growth factor tyrosine kinase inhibitors among patients with different malignancy: A systemic review and network meta-analysis

BACKGROUND

Vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) are a common cancer treatment. However, the pharmacologic characteristics of VEGF-TKIs may influence cardiovascular risks. The relative risks of major adverse cardiovascular events (MACEs) associated with VEGF-TKIs are poorly understood.

METHODS

We searched PubMed, Embase, and ClinicalTrials.gov from inception until August 31, 2021, for phase II/III randomized controlled trials of 11 VEGF-TKIs (axitinib, cabozantinib, lenvatinib, pazopanib, ponatinib, ripretinib, regorafenib, sorafenib, sunitinib, tivozanib, and vandetanib). The endpoints were heart failure, thromboembolism, and cardiovascular death. The Mantel-Haenszel method was used to calculate the risk of VEGF-TKI among users by comparing it to nonusers. Pairwise meta-analyses with a random-effects model were used to estimate the risks of the various VEGF-TKIs. We estimated ranked probability with a P-score and assessed credibility using the Confidence in Network Meta-Analysis framework.

RESULTS

We identified 69 trials involving 30 180 patients with cancer. The highest risk of MACEs was associated with high-potency tivazonib (odds ratio [OR]: 3.34), lenvatinib (OR: 3.26), and axitinib (OR: 2.04), followed by low-potency pazopanib (OR: 1.79), sorafenib (OR: 1.77), and sunitinib (OR: 1.66). The risk of heart failure significantly increased in association with less-selective sorafenib (OR: 3.53), pazopanib (OR: 3.10), and sunitinib (OR: 2.65). The risk of thromboembolism significantly increased in association with nonselective lenvatinib (OR: 3.12), sorafenib (OR: 1.54), and sunitinib (OR: 1.53). Higher potency (tivozanib, axitinib) and lower selectivity (sorafenib, vandetanib, pazopanib, sunitinib) were associated with a higher probability of heart failure. Low selectivity (lenvatinib, cabozantinib, sorafenib, sunitinib) was associated with a higher probability of thromboembolism.

CONCLUSION

Higher-potency and lower-selectivity VEGF-TKIs may influence the risks of MACEs, heart failure, and thromboembolism. These findings may facilitate evidence-based decision-making in clinical practice.