Coadministration of cytotoxic chemotherapeutic agents with irinotecan is a risk factor for irinotecan-induced cholinergic syndrome in Japanese patients with cancer

2018 ◽  
Vol 24 (2) ◽  
pp. 222-230 ◽  
Author(s):  
Ayako Tsuboya ◽  
Ken-ichi Fujita ◽  
Yutaro Kubota ◽  
Hiroo Ishida ◽  
Iori Taki-Takemoto ◽  
...  
2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S442-S443
Author(s):  
Denise Marie A Francisco ◽  
Liangliang Zhang ◽  
Ying Jiang ◽  
Adilene Olvera ◽  
Eduardo Yepez Guevara ◽  
...  

Abstract Background Antibiotic use is a risk factor for CDI. Few studies have correlated use of prior antibiotics with CDI severity in cancer patients. This study identified clinical and microbiology risk factors associated with severe CDI in patients with cancer. We hypothesized that previous antibiotic exposure and microbiome composition at time of CDI presentation, are risk factors for severe disease in cancer patients. Methods This non-interventional, prospective, single-center cohort study examined patients with cancer who had their first episode or first recurrence of CDI between Oct 27, 2016 and Jul 1, 2019. C. difficile was identified using nucleic acid amplification testing. Multivariate analysis was used to determine significant clinical risk factors for severe CDI as defined in the 2018 IDSA/SHEA guidelines. Alpha, and beta diversities were calculated to measure the average species diversity and the overall microbial composition. Differential abundance analysis and progressive permutation analysis were used to single out the significant microbial features that differed across CDI severity levels. Results Patient (n=200) demographics show mean age of 60 yrs., 53% female, majority White (76%) and non-Hispanic (85%). Prior 90 day metronidazole use (Odds Ratio OR 4.68 [1.47-14.91] p0.009) was a significant risk factor for severe CDI. Other factors included Horn’s Index > 2 (OR 7.75 [1.05-57.35] p0.045), Leukocytosis (OR 1.29 [1.16-1.43] p< 0.001), Neutropenia (OR 6.01 [1.34-26.89] p0.019) and Serum Creatinine >0.95 mg/dL (OR 25.30 [8.08-79.17] p< 0.001). Overall, there were no significant differences in alpha and beta diversity between severity levels. However, when identifying individual microbial features, the high presence of Bacteroides uniformis, Ruminococceae, Citrobacter koseri and Salmonella were associated with protection from severe CDI (p< 0.05). Table 1 - Results of multivariate logistic regression analysis of factors associated with severe CDI Figure 1. Microbiome features identified by progressive permutation analysis as seen in a volcano plot. Conclusion A number of risk factors for severe CDI were identified among this population, including prior 90 day metronidazole use. Also, increased relative abundance of Bacteroides uniformis, Ruminococceae, Citrobacter koseri and Salmonella were linked to protection from severe CDI. Reducing metronidazole use in patients with cancer may help prevent subsequent severe CDI. Disclosures Adilene Olvera, MPH MLS (ASCP), MERK (Grant/Research Support, Scientific Research Study Investigator) Kevin W. Garey, PharmD, MS, FASHP, Merck & Co. (Grant/Research Support, Scientific Research Study Investigator) Ryan J. Dillon, MSc, Merck & Co., Inc., (Employee) Engels N. Obi, PhD, Merck & Co. (Employee)


Hematology ◽  
2014 ◽  
Vol 2014 (1) ◽  
pp. 312-317 ◽  
Author(s):  
Agnes Y.Y. Lee

Abstract Robust evidence remains scarce in guiding best practice in the prevention and treatment of venous thromboembolism in patients living with cancer. Recommendations from major consensus guidelines are largely based on extrapolated data from trials performed mostly in noncancer patients, observational studies and registries, studies using surrogate outcomes, and underpowered randomized controlled trials. Nonetheless, a personalized approach based on individual risk assessment is uniformly recommended for inpatient and outpatient thromboprophylaxis and there is consensus that anticoagulant prophylaxis is warranted in selected patients with a high risk of thrombosis. Prediction tools for estimating the risk of thrombosis in the hospital setting have not been validated, but the use of prophylaxis in the ambulatory setting in those with a high Khorana score is under active investigation. Symptomatic and incidental thrombosis should be treated with anticoagulant therapy, but little is known about the optimal duration. Pharmacologic options for prophylaxis and treatment are still restricted to unfractionated heparin, low molecular weight heparin, and vitamin K antagonists because there is currently insufficient evidence to support the use of target-specific, non-vitamin K-antagonist oral anticoagulants. Although these agents offer practical advantages over traditional anticoagulants, potential drug interaction with chemotherapeutic agents, gastrointestinal problems, hepatic and renal impairment, and the lack of rapid reversal agents are important limitations that may reduce the efficacy and safety of these drugs in patients with active cancer. Clinicians and patients are encouraged to participate in clinical trials to advance the care of patients with cancer-associated thrombosis.


2017 ◽  
Vol 08 (05) ◽  
Author(s):  
Makoto Takemaru ◽  
Masaru Kuriyama ◽  
Takahiro Himeno ◽  
Yuji Shiga ◽  
Yuhei Kanaya ◽  
...  

Blood ◽  
2006 ◽  
Vol 107 (4) ◽  
pp. 1737-1738 ◽  
Author(s):  
Rina Kimura ◽  
Shigenori Honda ◽  
Tomio Kawasaki ◽  
Hajime Tsuji ◽  
Seiji Madoiwa ◽  
...  

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2119-2119
Author(s):  
Cornelia Englisch ◽  
Florian Moik ◽  
Stephan Nopp ◽  
Markus Raderer ◽  
Ingrid Pabinger ◽  
...  

Abstract Introduction: Venous thromboembolism (VTE) is common in patients with cancer. Non-O blood type is associated with higher levels of factor FVIII activity and von Willebrand factor compared to blood type O, and has been identified as a risk factor for VTE in the general population. However, the impact of ABO blood type on risk of cancer-associated VTE has not been clarified. Methods: To determine the influence of non-O blood type on risk of cancer-associated VTE, we utilized the dataset of the Vienna Cancer and Thrombosis Study (CATS), which is a single center, prospective observational cohort study including patients with newly diagnosed or recurrent cancer. Patients were followed for objectively diagnosed, independently adjudicated VTE for a maximum of 2 years. VTE was quantified in competing risk analysis, accounting for all-cause mortality as competing outcome event. A proportional sub-hazard regression model according to Fine & Gray was used for between-group comparisons. Based on the violation of the proportional sub-hazard assumption, we explored potential time-dependent effects of non-O blood type on VTE risk in a restricted cubic spline analysis, modeling differences in risk estimates over follow-up time. Further, time-restricted subdistribution hazard ratios (SHR) were obtained specifically for the <3 months and ≥3 months follow-up intervals. In a subgroup analysis, differences in VTE risk according to ABO-blood type were analyzed for patients with very high thrombotic risk tumor types (pancreatic, gastric, glioblastoma), compared to the remainder of patients. Results: In total, 1,708 patients were included in our analysis (46% female, median age: 61 years [interquartile range, IQR: 52-68]). The most common tumor types were lung (19%), breast (16%), and brain (14%) cancer, with 32% of solid tumor patients having metastatic disease at study inclusion. Over a median follow-up of 24 months (IQR: 10-24), 151 patients were diagnosed with VTE (cumulative 2-year incidence: 9.2%, 95% confidence interval [CI]: 7.9-10.7) and 649 patients died (2-year mortality: 38%). Overall, blood type O was present in 38% of patients, A in 40%, B in 15%, and AB in 7%. The cumulative incidence of VTE at 3-, 6-, 12-, and 24-months for patients with blood type O was 3.8% (95% CI: 2.5-5.5), 5.7% (95% CI: 4.1-7.7), 7.0% (95% CI: 5.1-9.1), and 7.6% (95% CI: 5.7-9.9), compared to 3.4% (95% CI: 2.4-4.7), 6.5% (95% CI: 5.1-8.1), 8.4% (95% CI:6.8-10.2), and 10.2% (95% CI: 8.4-12.2) in patients with non-O blood type (Gray´s test: p=0.103, Figure 1). Upon visual inspection of cumulative incidence functions, a violation of the proportional sub-hazard assumption was suspected. In restricted cubic spline analysis, estimating hazard ratio (HR) for VTE of patients with non-O compared to O blood type, a time-varying effect of non-O blood type towards an increased VTE risk was observed (Figure 2). Based on that, time-restricted competing risk regression models were performed. During the first 3 months of follow-up, no differences in VTE risk were found (SHR for non-O vs. O blood type: 1.00, 95% CI: 0.60-1.67, p=0.992). Beyond the first 3-month follow-up, patients with non-O blood type had an increased VTE risk compared to patients with blood type O (SHR 1.79, 95%CI: 1.12-2.85, p=0.015). In a subgroup analysis, no association with VTE risk was found in patients with very high thrombotic risk tumor types (SHR 0.94, 95% CI: 0.55-1.61, p=0.824). In contrast, in patients with low/intermediate risk cancer, non-O blood type was associated with increased risk of VTE (SHR 1.73, 95% CI: 1.09-2.73, p=0.019). Conclusion: Non-O blood type was identified as a time dependent risk factor for cancer-associated VTE. In the first 3 months after study inclusion, characterized as the highest VTE risk period in our cancer cohort, no differences in VTE risk between blood types were found. Afterwards, beyond the first 3 months of follow-up, an increased VTE-risk in non-O blood types was observed, comparably in magnitude to the risk difference in the general non-cancer population. Further, an association of non-O blood type with VTE risk in patients with low/intermediate thrombotic risk cancers was observed, whereas no effect was present in those with very high-risk tumors. These findings indicate non-O blood type as a putative risk factor for VTE in patients with cancer in comparably low thrombotic risk scenarios. Figure 1 Figure 1. Disclosures Pabinger: Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Alexion: Consultancy, Honoraria; Daiichi Sanchyo: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Bayer: Consultancy, Honoraria; NovoNordisk: Consultancy, Research Funding; CSL Behring: Consultancy, Honoraria, Research Funding.


2015 ◽  
Vol 7 (1) ◽  
pp. 1-6
Author(s):  
Kyuzi Kamoi

Previous longitudinal studies have demonstrated that blood pressure measurements at home (HBP) in the wakening- up display stronger predictive power for death, and vascular complications in patients with type 2 diabetes mellitus (T2DM) than clinic blood pressure measurements (CBP). The leading cause of death was cancer. Patients with T2DM have associated with cancer, and high CBP is a risk factor for cancer. Therefore, this study investigated whether HBP or CBP is related to cancer event in patients with T2DM for 10 years. At baseline, 400 Japanese patients with T2DM were classified as hypertensive (HT) or normotensive (NT) based on HBP and CBP. Mean (± SD) duration was 95 ± 35 months. Primary and secondary endpoints were death and cancer, respectively. Differences in outcome between HT and NT were analyzed using survival curves from Kaplan-Meier analysis and log-rank testing. Associated risk factors were assessed using Cox proportional hazards. On basis of HBP, death and event of cancer were significantly higher in HT than in NT. The leading cause of death was cancer. On basis of CBP, there was no significant difference in the incidence of death and event of cancer between patients with HT and NT at baseline. Associated risk factor for cancer was T2DM. Home morning HT may be reflected more keenly state of cancer than clinic HT, which may be superior to clinic NT. When we meet with such patients, it is important that cancer may be one of many causes for morning HT in Japanese patients with T2DM.


2018 ◽  
Vol 4 (Supplement 1) ◽  
pp. 15s-15s
Author(s):  
Sewunet Admasu Belachew ◽  
Daniel Asfaw Erku ◽  
Abebe Basazn Mekuria ◽  
Begashaw Melaku Gebresillassie

Abstract 32 Purpose Adverse drug reactions (ADRs) are a global problem and constitute a major clinical problem in terms of human suffering. The high toxicity and narrow therapeutic index of chemotherapeutic agents makes oncology pharmacovigilance essential. The objective of the current study was to assess the pattern of ADRs that occur in patients with cancer who were treated with chemotherapy in a tertiary care teaching hospital in Ethiopia. Methods A cross-sectional study over a 2-year period from September 2013 to August 2015 was conducted in patients with cancer who underwent chemotherapy at Gondar University Referral Hospital Oncology Center. Data were collected directly from patients and their medical case files. Reported ADRs were assessed for causality using the WHO causality assessment scale and Naranjo’s algorithm. Severities of the reported reactions were also assessed using National Cancer Institute Common Terminology Criteria for Adverse Events (version 4.0). Pearson’s χ2 test was used to examine the association between two categorical variables. Results A total of 815 ADRs were identified from 203 patients who were included in the study. The most commonly occurring ADRs were nausea and vomiting (18.9%), infections (16.7%), neutropenia (14.7%), fever and/or chills (11.3%), and anemia (9.3%). Platinum compounds (31.4%) were the most common group of drugs that caused ADRs. Of reported ADRs, 65.8% were grades 3 to 4 (severe level), 29.9% were grades 1 to 2 (mild level), and 4.3% were grade 5 (toxic level). Significant association was found between age, number of chemotherapeutic agents, and dose of chemotherapy with the occurrence of grades 3 to 5 toxicity. Conclusion The high incidence of chemotherapy-related ADRs among patients with cancer is of concern. Establishing an effective ADR monitoring and reporting system—oncopharmacovigilance—and creating awareness among health care professionals of the importance of ADR reporting may help prevent the problem. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST No COIs from the authors.


2013 ◽  
Vol 27 (2) ◽  
pp. NP590-NP599 ◽  
Author(s):  
Chang-I Chen ◽  
Ching-Feng Kuan ◽  
James Miser ◽  
Yu-Ann Fang ◽  
Carlos Lam ◽  
...  

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