Assessment of Oncology Provider Knowledge and Cardiovascular Screening Practices: A Call for Heightened Screening

Author(s):  
Katherine Albert, DNP, FNP-BC, AOCNP ◽  
Deborah Pollard, PhD, RNC-OB, CNE, IBCLC ◽  
Jennifer Klemp, PhD, MPH, MA ◽  
Lavanya Kondapalli, MD ◽  
Deborah Tuffield, DNP, FNP-C, CCRN

Cardiac risk factors are known to compound the development of cardiotoxicities (CTx) in patients exposed to anthracycline (ANT) chemotherapy agents. National oncology and cardiology organizations have published recommendations for cardiovascular risk stratification and screening cancer patients following exposure to ANTs. The frequency with which oncology providers are integrating these principles into practice is unknown. This knowledge-based quality improvement (QI) project was designed to heighten oncology provider competencies such that screening frequency of cancer patients for CTx in the post-ANT setting aligns more closely with national guidelines for care. A web-based educational intervention, cardiac screening tool, and evidence-based literature were shared with 20 oncology providers over the course of 5 months. Retrospective chart reviews and pre- and post-project surveys were performed to assess competencies and practice trends. Qualitative and quantitative data were analyzed to illustrate whether the interventions improved knowledge and changed practice. Findings revealed an increase in the number of provider-perceived percentage of high cardiac risk patients and the number of patients screened, knowledge did not improve, and the frequency by which oncology providers ordered echocardiograms increased minimally. Factors such as organizational system changes, time constraints, and change fatigue limited effective and consistent implementation of the project interventions. The trajectory of cancer survivorship is affected by cardiovascular disease. Cardiac screening of cancer patients is a critical component of cancer care that has the potential to positively impact economic and health outcomes of this susceptible population.

1996 ◽  
Vol 35 (01) ◽  
pp. 41-51 ◽  
Author(s):  
F. Molino ◽  
D. Furia ◽  
F. Bar ◽  
S. Battista ◽  
N. Cappello ◽  
...  

AbstractThe study reported in this paper is aimed at evaluating the effectiveness of a knowledge-based expert system (ICTERUS) in diagnosing jaundiced patients, compared with a statistical system based on probabilistic concepts (TRIAL). The performances of both systems have been evaluated using the same set of data in the same number of patients. Both systems are spin-off products of the European project Euricterus, an EC-COMACBME Project designed to document the occurrence and diagnostic value of clinical findings in the clinical presentation of jaundice in Europe, and have been developed as decision-making tools for the identification of the cause of jaundice based only on clinical information and routine investigations. Two groups of jaundiced patients were studied, including 500 (retrospective sample) and 100 (prospective sample) subjects, respectively. All patients were independently submitted to both decision-support tools. The input of both systems was the data set agreed within the Euricterus Project. The performances of both systems were evaluated with respect to the reference diagnoses provided by experts on the basis of the full clinical documentation. Results indicate that both systems are clinically reliable, although the diagnostic prediction provided by the knowledge-based approach is slightly better.


2018 ◽  
Vol 24 (17) ◽  
pp. 1879-1886 ◽  
Author(s):  
Michael Doumas ◽  
Κonstantinos Imprialos ◽  
Konstantinos Stavropoulos ◽  
Andromachi Reklou ◽  
Alexandros Sachinidis ◽  
...  

Background: The treatment of type 2 diabetes mellitus (T2DM) is complex; only a few patients successfully attain glycemic targets with monotherapy, most requiring drug combination therapy. Methods: The goal of this review was to identify in PubMed the complimentary ways of action leading to clinical benefit (in lowering HbA1c, body weight, renal, and cardiac risk factors and events) of the combination of sodium glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA). Results: SGLT2i, an emerging class of antidiabetic agents with an insulin-independent mechanism of action, are suitable for use in combination with any other class of antidiabetics, including insulin. The use of SGLT2i causes a reduction in Cardiovascular Disease (CVD) morbidity (mainly heart failure-HF) as well as total and CVD mortality. Besides insulin, SGLT2i may also be combined with incretin-based therapies, such as GLP-1 RA. The latter appears to reduce the rate or the progression of both macrovascular (mainly myocardial infarction-MI and stroke) and microvascular complications of DM, having a beneficial effect on all-cause mortality and CVD mortality, as well as CVD events. SGLT2i and GLP-1 RA may have a synergic effect on glucose reduction, weight reduction, renal impairment (both an independent lethal disease and a CVD risk factor) improvement, and cardiac event reduction, because the first reduces HF and related events and the second decreases CVD risk (mainly MI and stroke). Both also reduce total mortality, especially when combined with a statin. Conclusion: The combination of metformin with SGLT2i, GLP-1 RA, and a potent statin, in high CVD risk patients with DM, is expected to substantially reduce CVD mortality and morbidity, improving the quality of life of patients with DM at the same time. Prospective studies are needed to confirm this finding.


2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.


Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1197
Author(s):  
Julia Pohl ◽  
Raluca-Ileana Mincu ◽  
Simone M. Mrotzek ◽  
Reza Wakili ◽  
Amir A. Mahabadi ◽  
...  

Objective: To evaluate a new electrocardiographic (ECG) score reflecting domains of electrical and structural alterations in therapy-naïve cancer patients to assess their risk of cardiotoxicity. Methods: We performed a retrospective analysis of 134 therapy-naïve consecutive cancer patients in our two university hospitals concerning four ECG score parameters: Contiguous Q-waves, markers of left ventricular (LV) hypertrophy, QRS duration and JTc prolongation. Cardiotoxicity was assessed after a short-term follow-up (up to 12 months). Results: Of all the patients (n = 25), 19% reached 0 points, 50% (n = 67) reached 1 point, 25% (n = 33) reached 2 points, 5% (n = 7) reached 3 points and 0.7% reached 4 or 5 points (n = 1 respectively). The incidence of cardiotoxicity (n = 28 [21%]) increased with the ECG score, with 0 points at 0%, 1 point 7.5%, 2 points 55%, 3 points 71% and ≥3 points 50%. In the ROC (Receiver operating curves) analysis, the best cut-off for predicting cardiotoxicity was an ECG score of ≥2 points (sensitivity 82%, specificity 82%, AUC 0.84, 95% CI 0.77–0.92, p < 0.0001) which was then defined as a high-risk score. High-risk patients did not differ concerning their age, LV ejection fraction, classical cardiovascular risk factors or cardiac biomarkers compared to those with a low-risk ECG score. Conclusion: ECG scoring prior to the start of anti-cancer therapies may help to identify therapy-naïve cancer patients at a higher risk for the development of cardiotoxicity.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Caro Codon ◽  
T Lopez-Fernandez ◽  
C Alvarez-Ortega ◽  
P Zamora Aunon ◽  
I Rodriguez Rodriguez ◽  
...  

Abstract Background The actual usefulness of CV risk factor assessment in the prognostic evaluation of cancer patients treated with cardiotoxic treatment remains largely unknown. Design Prospective multicenter study in patients scheduled to receive anticancer therapy related with moderate/high cardiotoxic risk. Methods A total of 1324 patients underwent follow-up in a dedicated cardio-oncology clinic from April 2012 to October 2017. Special care was given to the identification and control of CV risk factors. Clinical data, blood samples and echocardiographic parameters were prospectively collected according to protocol, at baseline before cancer therapy and then at 3 weeks, 3 months, 6 months, 1 year, 1.5 years and 2 years after initiation of cancer therapy. Results At baseline, 893 patients (67.4%) presented at least 1 risk factor, with a significant number of patients newly diagnosed during follow-up. Individual risk factors were not related with worse prognosis during a 2-year follow-up. However, a higher Systemic Coronary Risk Estimation (SCORE) was significantly associated with higher rates of severe cardiotoxicity and all-cause mortality [HR 1.79 (95% CI 1.16–2.76) for SCORE 5–9 and HR 4.90 (95% CI 2.44–9.82) for SCORE ≥10 when compared with patients with lower SCORE (0–4)]. Conclusions This large cohort of patients treated with a potentially cardiotoxic regimen showed a significant prevalence of CV risk factors at baseline and significant incidence during follow-up. Baseline cardiovascular risk assessment using SCORE predicted severe cardiotoxicity and all-cause mortality. Therefore, its use should be recommended in the evaluation of cancer patients. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): This study was partially funded by the Fondo Investigaciones Sanitarias (Spain), Centro de Investigaciόn Biomédica en Red Cardiovascular CIBER-CV (Spain)


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ruofei Du ◽  
Xin Wang ◽  
Lixia Ma ◽  
Leon M. Larcher ◽  
Han Tang ◽  
...  

Abstract Background The adverse reactions (ADRs) of targeted therapy were closely associated with treatment response, clinical outcome, quality of life (QoL) of patients with cancer. However, few studies presented the correlation between ADRs of targeted therapy and treatment effects among cancer patients. This study was to explore the characteristics of ADRs with targeted therapy and the prognosis of cancer patients based on the clinical data. Methods A retrospective secondary data analysis was conducted within an ADR data set including 2703 patients with targeted therapy from three Henan medical centers of China between January 2018 and December 2019. The significance was evaluated with chi-square test between groups with or without ADRs. Univariate and multivariate logistic regression with backward stepwise method were applied to assess the difference of pathological characteristics in patients with cancer. Using the univariate Cox regression method, the actuarial probability of overall survival was performed to compare the clinical outcomes between these two groups. Results A total of 485 patients were enrolled in this study. Of all patients, 61.0% (n = 296) occurred ADRs including skin damage, fatigue, mucosal damage, hypertension and gastrointestinal discomfort as the top 5 complications during the target therapy. And 62.1% of ADRs were mild to moderate, more than half of the ADRs occurred within one month, 68.6% ADRs lasted more than one month. Older patients (P = 0.022) and patients with lower education level (P = 0.036), more than 2 comorbidities (P = 0.021), longer medication time (P = 0.022), drug combination (P = 0.033) and intravenous administration (P = 0.019) were more likely to have ADRs. Those with ADRs were more likely to stop taking (P = 0.000), change (P = 0.000), adjust (P = 0.000), or not take the medicine on time (P = 0.000). The number of patients with recurrence (P = 0.000) and metastasis (P = 0.006) were statistically significant difference between ADRs and non-ADRs group. And the patients were significantly poor prognosis in ADRs groups compared with non-ADRs group. Conclusion The high incidence of ADRs would affect the treatment and prognosis of patients with cancer. We should pay more attention to these ADRs and develop effective management strategies.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 671
Author(s):  
Margherita Rimini ◽  
Pierfrancesco Franco ◽  
Berardino De Bari ◽  
Maria Giulia Zampino ◽  
Stefano Vagge ◽  
...  

Anal squamous cell carcinoma (SCC) is a rare tumor, and bio-humoral predictors of response to chemo-radiation (CT-RT) are lacking. We developed a prognostic score system based on laboratory inflammation parameters. We investigated the correlation between baseline clinical and laboratory variables and disease-free (DFS) and overall (OS) survival in anal SCC patients treated with CT-RT in five institutions. The bio-humoral parameters of significance were included in a new scoring system, which was tested with other significant variables in a Cox’s proportional hazard model. A total of 308 patients was included. We devised a prognostic model by combining baseline hemoglobin level, SII, and eosinophil count: the Hemo-Eosinophils Inflammation (HEI) Index. We stratified patients according to the HEI index into low- and high-risk groups. Median DFS for low-risk patients was not reached, and it was found to be 79.5 months for high-risk cases (Hazard Ratio 3.22; 95% CI: 2.04–5.10; p < 0.0001). Following adjustment for clinical covariates found significant at univariate analysis, multivariate analysis confirmed the HEI index as an independent prognostic factor for DFS and OS. The HEI index was shown to be a prognostic parameter for DFS and OS in anal cancer patients treated with CT-RT. An external validation of the HEI index is mandatory for its use in clinical practice.


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.


2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Xu Wang ◽  
Yuanmin Xu ◽  
Ting Li ◽  
Bo Chen ◽  
Wenqi Yang

Abstract Background Autophagy is an orderly catabolic process for degrading and removing unnecessary or dysfunctional cellular components such as proteins and organelles. Although autophagy is known to play an important role in various types of cancer, the effects of autophagy-related genes (ARGs) on colon cancer have not been well studied. Methods Expression profiles from ARGs in 457 colon cancer patients were retrieved from the TCGA database (https://portal.gdc.cancer.gov). Differentially expressed ARGs and ARGs related to overall patient survival were identified. Cox proportional-hazard models were used to investigate the association between ARG expression profiles and patient prognosis. Results Twenty ARGs were significantly associated with the overall survival of colon cancer patients. Five of these ARGs had a mutation rate ≥ 3%. Patients were divided into high-risk and low-risk groups based on Cox regression analysis of 8 ARGs. Low-risk patients had a significantly longer survival time than high-risk patients (p < 0.001). Univariate and multivariate Cox regression analysis showed that the resulting risk score, which was associated with infiltration depth and metastasis, could be an independent predictor of patient survival. A nomogram was established to predict 1-, 3-, and 5-year survival of colon cancer patients based on 5 independent prognosis factors, including the risk score. The prognostic nomogram with online webserver was more effective and convenient to provide information for researchers and clinicians. Conclusion The 8 ARGs can be used to predict the prognosis of patients and provide information for their individualized treatment.


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