scholarly journals Mo1717 HOW TO CREATE AN ELECTRONIC DATABASE FOR HNPCC (LYNCH SYNDROME) FROM EXISTING SOFTWARE PROGRAMS: MD ANDERSON CANCER CENTER HNPCC SURVEILLANCE OUTCOMES, A STEP TOWARDS ESTABLISHING QUALITY METRICS FOR HIGH RISK CANCER PATIENTS

2018 ◽  
Vol 87 (6) ◽  
pp. AB493-AB494
Author(s):  
Selvi Thirumurthi ◽  
Mala Pande ◽  
Phillip Lum ◽  
Sarah A. Bannon ◽  
Maureen Mork ◽  
...  
Keyword(s):  
High Risk ◽  
Lynch Syndrome ◽  
Cancer Patients ◽  
Quality Metrics ◽  
Cancer Center ◽  
Electronic Database ◽  
Software Programs ◽  
Md Anderson ◽  
High Risk Cancer

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 ◽  
...  
Keyword(s):  
High Risk ◽  
Cancer Patients ◽  
Care Center ◽  
Bloodstream Infections ◽  
Infectious Complications ◽  
Cancer Center ◽  
Coagulase Negative Staphylococcus ◽  
Oxacillin Resistance ◽  
High Risk Cancer ◽  
Epidemiological Characteristics

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.

Clinical signs of dying in cancer patients: A prospective longitudinal observational study.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e19528-e19528
Author(s):  
David Hui ◽  
Renata dos Santos ◽  
Kelly L. Kilgore ◽  
Thiago Buosi Silva ◽  
Gary B. Chisholm ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Clinical Signs ◽  
High Specificity ◽  
The United States ◽  
Cancer Center ◽  
Mandibular Movement ◽  
Advanced Cancer Patients ◽  
Palliative Care Units ◽  
Md Anderson ◽  
Prospective Longitudinal

e19528 Background: The fundamental process of dying has not been well characterized. We determined the frequency, onset, accuracy and likelihood ratio (LR) for various clinical signs in dying cancer patients. Methods: We systematically documented 100 signs/symptoms on consecutive advanced cancer patients admitted to palliative care units at MD Anderson Cancer Center (MDA) in the United States and Barretos Cancer Hospital (BCH) in Brazil every 12 hours from admission to death/discharge in 2010/2011. We analyzed the serial data from death backwards using generalized estimating equations for decedents, and calculated the accuracy and LRs for all patients. Results: 203/357 (MDA 52, BCH 151) patients died, and had the following characteristics: average age 58 (range 18-88), female 49%, Caucasian 76%, median admission length 6(Q1-Q3 4-9) days. The average palliative performance scale decreased from 50% to 20% (P<0.001). The frequency of pulselessness of radial artery (PRA), decreased urine output, respiration with mandibular movement (RMM), inability to close eye lids (EL), death rattle, vocal cord grunting, Cheyne Stokes and nasolabial drooping increased as death approached (P<0.001 for all), with high LR+ for impending death (Table 1). Presence of PRA, RMM and EL had a high specificity (100%), positive predictive value (99.4%) and LR+ (13) for death in 3 days. Conclusions: We identified highly specific cardiovascular, respiratory and neuromuscular signs associated with imminent death. [Table: see text]

Development and validation of a new clinical prediction model of catheter-related thrombosis in cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14031-e14031
Author(s):  
Binliang Liu ◽  
Junying Xie ◽  
Xiaoying Sun ◽  
Yanfeng Wang ◽  
Zhong Yuan ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Prediction Model ◽  
Receiver Operating Characteristic ◽  
Cancer Patients ◽  
Retrospective Cohort ◽  
Operating Characteristic ◽  
Risk Group ◽  
Cancer Center ◽  
Catheter Related Thrombosis

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.

Immune Biomarkers of BRONJ in High-Risk Cancer Patients

2012 ◽  
Vol 70 (9) ◽  
pp. e37
Author(s):  
A. Leung ◽  
P. Lee ◽  
A. Kiss ◽  
S. Choyee ◽  
J. Uyanne ◽  
...  
Keyword(s):  
High Risk ◽  
Cancer Patients ◽  
Immune Biomarkers ◽  
High Risk Cancer

scholarly journals Study of germline mutations in high risk cancer patients from a tertiary care center in India

2019 ◽  
Vol 30 ◽  
pp. ix127-ix128
Author(s):  
P.S. Kulkarni ◽  
S.S. Gandhi ◽  
A.M. Dastane ◽  
C.D. Deshmukh ◽  
S. Hingmire ◽  
...  
Keyword(s):  
High Risk ◽  
Cancer Patients ◽  
Care Center ◽  
Tertiary Care ◽  
Germline Mutations ◽  
Tertiary Care Center ◽  
High Risk Cancer
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