scholarly journals Epidemiology of Bloodstream Infections at a Cancer Center

2000 ◽  
Vol 118 (5) ◽  
pp. 131-138 ◽  
Author(s):  
Eduardo Velasco ◽  
Luiz Claudio Santos Thuler ◽  
Carlos Alberto de Souza Martins ◽  
Márcio Nucci ◽  
Leda Maria Castro Dias ◽  
...  

CONTEXT: Cancer patients are at unusually high risk for developing bloodstream infections (BSI), which are a major cause of in-hospital morbidity and mortality. OBJECTIVE: To describe the epidemiological characteristics and the etiology of BSI in cancer patients. DESIGN: Descriptive study. SETTING: Terciary Oncology Care Center. PARTICIPANTS: During a 24-month period all hospitalized patients with clinically significant BSI were evaluated in relation to several clinical and demographic factors. RESULTS: The study enrolled 435 episodes of BSI (349 patients). The majority of the episodes occurred among non-neutropenic patients (58.6%) and in those younger than 40 years (58.2%). There was a higher occurrence of unimicrobial infections (74.9%), nosocomial episodes (68.3%) and of those of undetermined origin (52.8%). Central venous catheters (CVC) were present in 63.2% of the episodes. Overall, the commonest isolates from blood in patients with hematology diseases and solid tumors were staphylococci (32% and 34.7%, respectively). There were 70 episodes of fungemia with a predominance of Candida albicans organisms (50.6%). Fungi were identified in 52.5% of persistent BSI and in 91.4% of patients with CVC. Gram-negative bacilli prompted the CVC removal in 45.5% of the episodes. Oxacillin resistance was detected in 26.3% of Staphylococcus aureus isolates and in 61.8% of coagulase-negative Staphylococcus. Vancomycin-resistant enterococci were not observed. Initial empirical antimicrobial therapy was considered appropriate in 60.5% of the cases. CONCLUSION: The identification of the microbiology profile of BSI and the recognition of possible risk factors in high-risk cancer patients may help in planning and conducting more effective infection control and preventive measures, and may also allow further analytical studies for reducing severe infectious complications in such groups of patients.

2019 ◽  
Vol 30 ◽  
pp. ix127-ix128
Author(s):  
P.S. Kulkarni ◽  
S.S. Gandhi ◽  
A.M. Dastane ◽  
C.D. Deshmukh ◽  
S. Hingmire ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ding Li ◽  
Tianjiao Li ◽  
Changsen Bai ◽  
Qing Zhang ◽  
Zheng Li ◽  
...  

Abstract Background Invasive candidiasis is the most common fungal disease among hospitalized patients and continues to be a major cause of mortality. Risk factors for mortality have been studied previously but rarely developed into a predictive nomogram, especially for cancer patients. We constructed a nomogram for mortality prediction based on a retrospective review of 10 years of data for cancer patients with invasive candidiasis. Methods Clinical data for cancer patients with invasive candidiasis during the period of 2010–2019 were studied; the cases were randomly divided into training and validation cohorts. Variables in the training cohort were subjected to a predictive nomogram based on multivariate logistic regression analysis and a stepwise algorithm. We assessed the performance of the nomogram through the area under the receiver operating characteristic (ROC) curve (AUC) and decision curve analysis (DCA) in both the training and validation cohorts. Results A total of 207 cases of invasive candidiasis were examined, and the crude 30-day mortality was 28.0%. Candida albicans (48.3%) was the predominant species responsible for infection, followed by the Candida glabrata complex (24.2%) and Candida tropicalis (10.1%). The training and validation cohorts contained 147 and 60 cases, respectively. The predictive nomogram consisted of bloodstream infections, intensive care unit (ICU) admitted > 3 days, no prior surgery, metastasis and no source control. The AUCs of the training and validation cohorts were 0.895 (95% confidence interval [CI], 0.846–0.945) and 0.862 (95% CI, 0.770–0.955), respectively. The net benefit of the model performed better than “treatment for all” in DCA and was also better for opting low-risk patients out of treatment than “treatment for none” in opt-out DCA. Conclusion Cancer patients with invasive candidiasis exhibit high crude mortality. The predictive nomogram established in this study can provide a probability of mortality for a given patient, which will be beneficial for therapeutic strategies and outcome improvement.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S943-S944
Author(s):  
Erica Stohs ◽  
Andrea Zimmer ◽  
Paul Fey ◽  
Luke D Handke ◽  
Yuning Zhang ◽  
...  

Abstract Background In this prospective nation-wide survey of bloodstream isolates associated with first episode of FN in high-risk cancer patients from 14 US cancer centers (December 2016 and June 2018), viridans group Streptococci (VGS) were the most common Gram-positive isolate. We sought to clinically and microbiologically characterize VGS bloodstream infections (BSI). Methods Among 343 patients,we compared 90 with VGS vs 253 with non-VGS BSI. Minimum inhibitory concentrations for blood culture isolates were determined by broth dilution for selected agents at our reference microbiology laboratory (UNMC). Clinical data were electronically captured in RedCap, including local site isolate identification and confirmatory reference lab identification via MALDI. Categorical and continuous variables were assessed via chi-square and Mann–Whitney U tests, respectively. Results Ninety-two VGS isolates were identified among 90 FN patients, representing 27% of all BSI isolates. S. mitis or oralis comprised 64 (70%) of VGS. There were no differences between age, sex, and primary diagnosis (50% with AML) among the 2 groups; 1/3 were HSCT recipients. Fluoroquinolone prophylaxis was used in 64 (71%) vs. 139 (55%), P < 0.01, in VGS vs non-VGS groups. Critical illness composite (new need for pressor(s), mechanical ventilation or death within 30 days) was 6 (7%) vs. 44 (17%), P = 0.01, in the VGS vs non-VGS groups. Figure 1 displays an overview of antibiotic susceptibilities for 79 testable isolates. VGS susceptibilities to levofloxacin, penicillin, and ceftriaxone were 39%, 47%, and 94%, respectively. Conclusion VGS are common pathogens in FN patients. Prior fluoroquinolone prophylaxis use may be a risk factor. VGS BSI was not associated with increased critical illness compared with non-VGS. Finally, assuming ceftriaxone susceptibility confers that of cefepime, >90% of VGS are susceptible to empiric FN cefepime regimens. Disclosures All authors: No reported disclosures.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14031-e14031
Author(s):  
Binliang Liu ◽  
Junying Xie ◽  
Xiaoying Sun ◽  
Yanfeng Wang ◽  
Zhong Yuan ◽  
...  

e14031 Background: The central venous catheter brings convenience for drug delivery and improves comfort for cancer patients, it also causes serious complications. The most common one is catheter-related thrombosis (CRT). This study aimed to evaluate the incidence and risk factors of CRT in cancer patients, and to develop an effective prediction model for CRT in cancer patients. Methods: The development of our prediction model was based on the data of a retrospective cohort (n = 3131) from National Cancer Center. The validation of our prediction model was done in a prospective cohort from National Cancer Center (n = 685) and a retrospective cohort from Hunan Cancer Hospital (n = 61). The predictive accuracy and the discriminative ability were determined by the receiver operating characteristic curves and calibration plots. Results: Multivariate analysis demonstrated that sex, cancer type, catheter type, position of the catheter tip, chemotherapy status, and antiplatelet/anticoagulation status at baseline were independent risk factors for CRT. The area under receiver operating characteristic (ROC) curve of our prediction model was 0.741 (CI: 0.715-0.766) in the primary cohort; 0.754 (CI: 0.704-0.803) and 0.658 (CI: 0.470-0.845) in validation cohorts respectively. Good calibration and clinical impact were also shown in primary and validation cohorts. The high-risk group had a higher incidence of CRTs than the low-risk group in the primary cohort and two validation cohort (p < 0.001). Conclusions: Our model is a novel prediction tool for CRT risk which helps to assigning cancer patients into high-risk or low-risk group accurately. Our model will be valuable for clinicians in decision making of thromboprophylaxis.


2012 ◽  
Vol 70 (9) ◽  
pp. e37
Author(s):  
A. Leung ◽  
P. Lee ◽  
A. Kiss ◽  
S. Choyee ◽  
J. Uyanne ◽  
...  

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 327-327
Author(s):  
Alexander T Cohen ◽  
Allison Keshishian ◽  
Theodore Lee ◽  
Gail Wygant ◽  
Lisa Rosenblatt ◽  
...  

BACKGROUND: Cancer is an independent risk factor for venous thromboembolism (VTE) and the strongest predictor for all-cause and pulmonary embolism-related mortality. VTE risk is 4-7 times higher in cancer patients compared to non-cancer patients. Different cancer types are associated with different risk of VTE. Cancers of the brain, pancreas, stomach, liver, lungs, and kidneys-and hematologic malignancies-have the strongest association with the occurrence of VTE. The Khorana risk score based on the cancer type, blood counts, and body mass index is one of the VTE risk scales to predict the risk of thrombosis in cancer patients. This study evaluates the risk of major bleeding (MB), clinically relevant non-major (CRNM) bleeding, and recurrent VTE (non-fatal and fatal) among VTE patients with active cancer prescribed apixaban, low-molecular weight heparin (LMWH), or warfarin stratified by VTE risk. METHODS: A pooled study using four US commercial insurance claims databases identified VTE patients diagnosed with active cancer (defined as cancer diagnosis [any stage] or cancer treatment [chemotherapy, radiation, and cancer-related surgery] within 6 months before or 30 days after VTE diagnosis) who initiated apixaban, LMWH, or warfarin within 30 days following the first VTE event (01SEP2014-31MAR2018). Patients were followed to the earliest of: health plan disenrollment, death, index therapy discontinuation, switch to another anticoagulant, study end, or a maximum of 6 months. Stabilized inverse probability treatment weighting (IPTW) was used to balance treatment cohorts. A subgroup analysis using a modified Khorana VTE risk scale (cancer type only) was conducted. Patients were classified as very high risk (stomach, brain, or pancreas), high risk (lung, lymphoma, gynecologic, bladder, testicular, renal cell carcinoma), or other (all remaining cancer types) depending on their cancer type. Cox proportional hazard models were used to evaluate the risk of MB, CRNM bleeding, and recurrent VTE. The statistical significance (P&lt;0.10) of the interaction between treatment and different levels of VTE risk was evaluated. RESULTS: After applying the selection criteria, 3,393 apixaban, 6,108 LMWH, and 4,585 warfarin patients were identified with mean ages of 65, 64, and 64 years, respectively. After IPTW, all patient characteristics were balanced. Among all VTE cancer patients after IPTW, 15% of patients had very high-risk cancer and 40% patients had high-risk cancer. In the main analysis, apixaban patients had a lower risk of MB, CRNM bleeding, and recurrent VTE compared to LMWH. Warfarin patients had a similar risk of MB, CRNM bleeding, and recurrent VTE compared to LMWH. Apixaban patients had a lower risk of recurrent VTE and a similar risk of MB and CRNM bleeding compared to warfarin (Figure). When stratifying by the VTE risk scale, study findings were generally consistent with the primary analysis and across the different subgroups. No significant interactions were observed for MB or CRNM bleeding (Figure). Two significant interactions were evident for recurrent VTE: apixaban trended towards a lower risk of recurrent VTE compared to LMWH across all three subgroups, but the magnitude of the difference was larger in the other cancer group vs. very high risk and high risk cancer groups. For warfarin vs. LMWH, different trends in recurrent VTE risk were observed among patients with different VTE risk levels (Figure). CONCLUSION: Across subgroups of VTE cancer patients with different VTE risk levels, apixaban had a lower risk of recurrent VTE compared to warfarin and a lower risk of MB, CRNM bleeding, and recurrent VTE compared to LMWH consistent with the overall results. Warfarin patients had a similar risk of MB and CRNM bleeding compared to LMWH. Further studies are needed to evaluate the role of anticoagulants in high-risk subgroups of VTE cancer patients. Figure Disclosures Cohen: Aspen: Consultancy, Speakers Bureau; CSL Behring: Consultancy; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; ONO: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Leo Pharma: Consultancy; Guidepoint Global: Consultancy; TRN: Consultancy; Boehringer-Ingelheim: Consultancy, Speakers Bureau; UK Government Health Select Committee: Other: advised the UK Government Health Select Committee, the all-party working group on thrombosis, the Department of Health, and the NHS, on the prevention of VTE; Temasek Capital: Consultancy; Boston Scientific: Consultancy; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; Portola: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Lifeblood: Other: advisor to Lifeblood: the thrombosis charity and is the founder of the European educational charity the Coalition to Prevent Venous Thromboembolism; Johnson and Johnson: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Consultancy, Speakers Bureau; AbbVie: Consultancy; GLG: Consultancy; Medscape: Consultancy, Speakers Bureau; McKinsey: Consultancy; Navigant: Consultancy; Takeda: Consultancy; ACI Clinical: Consultancy. Keshishian:STATinMED Research: Other: I am a paid employee of STATinMED Research which is a paid consultant to Bristol-Myers Squibb Company and Pfizer Inc.. Lee:Pfizer Inc.: Employment, Equity Ownership. Wygant:Bristol-Myers Squibb Company: Employment. Rosenblatt:Bristol-Myers Squibb: Other: Stock Owner ; Bristol-Myers Squibb Company: Employment. Hlavacek:Pfizer Inc.: Employment. Mardekian:Pfizer Inc.: Employment. Wiederkehr:Pfizer Inc.: Employment. Sah:STATinMED Research: Other: I am a paid employee of STATinMED Research which is a paid consultant to Bristol-Myers Squibb Company and Pfizer Inc.. Luo:Pfizer Inc.: Employment.


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