Safety signal mining of FOLFOX scheme and FOLFIRI scheme-induced hepatotoxicity / 中国药房

OBJECTIVE To mine the safety signals of FOLFOX scheme and FOLFIRI scheme-induced hepatotoxicity， and to provide reference for the selection of clinical rational treatment plan and the prevention and treatment of drug adverse reaction （ADR）. METHODS Reporting odds ratio method and proportion report ratio method were used to analyze adverse drug event （ADE） reports of FOLFOX scheme and FOLFIRI scheme in FDA adverse event reporting system during January 1， 2004-June 30， 2022. The potential safety signals of FOLFOX scheme and FOLFIRI scheme-induced hepatotoxicity were mined. RESULTS The amounts of ADE reports related to FOLFOX scheme and FOLFIRI scheme were respectively 3 454 and 1 359； the proportions of male and female patients involved were 1.50∶1 and 1.67∶1 in these two schemes， respectively. The top five countries with the largest number of reports were the United States， Japan， France， Italy and the United Kingdom， respectively accounting for 58.48% and 53.79% of the total reported cases. More than 90% of patients took no more than 5 drugs in combination， the proportion of patients receiving FOLFOX scheme and FOLFIRI scheme combined with anti-angiogenic drugs or epidermal growth factor receptor inhibitors was 45.45% and 86.82%， respectively. Totally 443 ADE reports of FOLFOX scheme-induced hepatotoxicity were collected， and 22 ADR signals were generated， including hepatic sinusoidal obstruction syndrome， nodular regenerative hyperplasia， drug-induced liver injury， blood bilirubin increased， etc. Totally 128 ADE reports of FOLFIRI scheme- induced hepatotoxicity were reported， and 9 ADR signals were generated， including blood bilirubin increased， hepatotoxicity， steatohepatitis， hepatic steatosis， etc. CONCLUSIONS FOLFOX scheme and FOLFIRI scheme can cause different types of hepatotoxicity. Clinical drug monitoring should be strengthened to guarantee drug safety.

Mining and analysis of adverse drug reaction signals of melphalan based on FAERS / 中国药房

OBJECTIVE To mine the adverse drug reaction （ADR） signals of melphalan， so as to provide reference for clinically safe drug use. METHODS Using OpenVigil 2.1 data platform， relative ADR reports of melphalan from the first quarter of 2004 to the second quarter of 2022 in FAERS database were collected； data mining was conducted using the reported odds ratio （ROR） method and Medicines and Healthcare Products Regulatory Agency （MHRA） method of disproportional method. ADR reports were described and classified according to the system organ class （SOC） and preferred term （PT） in Medical Dictionary for Regulatory Activities （24.0 edition）. RESULTS A total of 17 046 ADR reports related to the target drug melphalan were retrieved， and the number of ADR reports showed a fluctuating upward trend； the majority of patients were male （43.28%）， and were concentrated between the ages of 50-＜75 （35.09%）， with the main reporting country being the United States （23.97%）； ADR report involved a total of 22 842 severe outcomes， mainly including hospitalization or extended hospitalization （24.45%）. Totally 403 ADR signals were detected， involving 23 SOC， mainly including blood and lymphatic system diseases （801 cases， 13.77%）， followed by eye organ diseases （755 cases， 12.97%） and infectious and invasive diseases （716 cases， 12.30%）. The ADR signals ranked high in the number of reported cases included febrile neutropenia， diarrhea， fever and mucositis and other PT； PT such as pneumonia， sepsis， vitreous hemorrhage， chorioretinal atrophy， myelodysplastic syndrome were not recorded in drug instructions. The ADR signals with high signal strength ranking included choroidal dystrophy， chorioretinal atrophy， eyeball atrophy and other PT， and above three types of PT were not included in the drug instructions. CONCLUSIONS ADRs caused by melphalan mainly include blood and lymphatic system diseases， eye organ diseases， and infectious and invasive diseases； before using melphalan， it is necessary to evaluate the drug use of patients， and pay close attention to the patient’s blood indicators and eye toxicity reaction， so as to guarantee the safety of treatment.

Signal mining and analysis of adverse drug events for tolvaptan based on FAERS database / 中国药房

OBJECTIVE To mine the signals of adverse dr ug events （ADE）for tolvaptan based on FAERS database ，and to provide reference for safe use of drugs in clinic. METHODS The data of tolvaptan-induced ADE were collected from FAERS database during the first quarter of 2004 to the third quarter of 2020；the reporting odds ratio （ROR）method and the proportional reporting ratio （PRR）method of disproportional method were used for data mining. RESULTS A total of 4 744 ADE reports of the target drug tolvaptan were extracted ，involving 1 279 ADEs. The reporting countries were mainly the United States and Japan ，etc. A total of 199 ADE signals were obtained ，involving 21 system organ classes （SOCs），which mainly focused on various examinations（n＝56），hepatobiliary disorders （n＝17），renal and urinary disorders （n＝14），etc. Among them ，80 signals were not mentioned in existing instructions for tolvaptan in China ，such as decreased glomerular filtration rate ，positional vertigo ， rupture of renal cyst ，renal cyst infection ，pulmonary malignant tumor. CONCLUSIONS Before using tolvaptan ，drug evaluation should be performed well ，especially the patients with basic diseases such as heart failure ，liver insufficiency and renal insufficiency. During treatment ，the indexes of liver function and renal function should be closely monitored ；timely intervention measures should be taken to avoid related injury and disease deterioration caused by ADE when ADE or disease progression occurs.

Nivolumab-associated pulmonary toxicities： a retrospective study based on FARES database from 2016 to 2019 / 上海预防医学

Objective:Nivolumab is one of the most common programmed death 1 （PD-1） inhibitors used as an immune checkpoint inhibitor （ICI）. It brings significant therapeutic effects but often accompanied by serious drug toxicity. The pulmonary toxicities of nivolumab are not clear. This study aims to systematically explore the nivolumab-associated pulmonary toxicities and provide reference for clinical treatment. Methods:Data were extracted from US Food and Drug Administration （FDA） Adverse Event Reporting System （FAERS） database from January 1， 2016 to September 30， 2019. Two types of disproportionality analysis， information component （IC） and reporting odds ratio （ROR）， were applied in nivolumab-associated pulmonary adverse events （AEs） signal detection. Results:A total of 28 489 309 records were extracted from FAERS database and 8 181 records were associated with nivolumab. Analysis was conducted in 179 AEs and 86 signals were detected. Notably， potent signals were detected in radiation pneumonitis （IC025： 3.99， ROR025： 17.25）， pneumonitis （IC025： 3.34， ROR025： 10.64） and bronchial fistula （IC025： 2.94， ROR025： 8.78）. Nivolumab-associated pulmonary toxicities were more frequently reported in dyspnoea （IC025： 0.50， ROR025： 1.44）， pneumonia （IC025： 0.08， ROR025： 1.07） and pneumonitis （IC025： 3.34， ROR025： 10.64）. Results of IC and ROR methods were similar to each other. Most pulmonary toxicities were observed in patients with non-small cell lung cancer （N=3 711， 32.13%）， malignant melanoma （N=1 658， 14.36%） and renal cell carcinoma （N=731， 6.33%）. Conclusion:Significant pulmonary toxicities were detected in patients treated with nivolumab. Thus， it is highly important for clinicians to be vigilant about nivolumab-associated pulmonary AEs and be prepared to take immediate action for patient safety.