Systematic Coronary Risk Evaluation (SCORE) Chart Identify Chronic Myeloid Leukemia Patients at Risk of Cardiovascular Diseases during Nilotinib Treatment

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4545-4545
Author(s):  
Massimo Breccia ◽  
Matteo Molica ◽  
Irene Zacheo ◽  
Giuliana Alimena

Abstract Nilotinib is currently approved for the treatment of chronic myeloid leukemia (CML) in chronic (CP) and accelerated phase (AP) after failure of imatinib and in newly diagnosed patients. Atherosclerotic events were retrospectively reported in patients with baseline cardiovascular risk factors during nilotinib treatment. We estimated the risk of developing atherosclerotic events in patients treated with second or first line nilotinib, with a median follow-up of 48 months, by retrospectively applying the SCORE chart proposed by the European Society of Cardiology (ESC) and evaluating risk factors at baseline (diabetes, obesity, smoking and hypertension). Overall, we enrolled in the study 82 CP patients treated frontline (42 patients, at the dose of 300 mg BID) or after failure of other tyrosine kinase inhibitors (40 patients, treated with 400 mg BID). The SCORE chart is based on the stratification of sex (male vs female), age (from 40 to 65 years), smoker vs non-smoker, systolic pressure (from 120 to 180 mm Hg) and cholesterol (measured in mmol/l, from 150 to 300 mg/dl). For statistical purposes we considered patients subdivided in low, moderate, high and very high risk. There were 48 males and 34 females, median age 51 years (range 22-84). According to WHO classification, 42 patients were classified as normal weight (BMI < 25), 26 patients were overweight (BMI 26- <30) and 14 were obese (BMI > 30). Retrospective classification according to the SCORE chart revealed that 27 patients (33%) were in the low risk category, 30 patients (36%) in the moderate risk category and 24 patients (29%) in the high risk category. As regards risk factors, we revealed that 17 patients (20.7%) had a concomitant type II controlled diabetes (without organ damage), 23 patients (28%) were smokers, 29 patients (35%) were receiving concomitant drugs for hypertension, 15 patients (18%) had concomitant dyslipidaemia. Overall, the cumulative incidence of atherosclerotic events at 48 months was 8.5% (95% CI: 4.55-14.07): none of the low-risk patients according to the SCORE chart experienced atherosclerotic events compared to 10% in the moderate risk and 29% in the high risk category (p=0.002). Atherosclerotic-free survival was 100%, 89% and 69% in the low, moderate and high-risk population, respectively (p=0.001). SCORE chart evaluation at disease baseline could be a valid tool to identify patients at high risk of atherosclerotic events during nilotinib treatment. Disclosures Breccia: novartis: Consultancy; BMS: Consultancy; Celgene: Consultancy.

10.2196/16069 ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. e16069
Author(s):  
Kenneth B Chapman ◽  
Martijn M Pas ◽  
Diana Abrar ◽  
Wesley Day ◽  
Kris C Vissers ◽  
...  

Background Several pain management guidelines recommend regular urine drug testing (UDT) in patients who are being treated with chronic opioid analgesic therapy (COAT) to monitor compliance and improve safety. Guidelines also recommend more frequent testing in patients who are at high risk of adverse events related to COAT; however, there is no consensus on how to identify high-risk patients or on the testing frequency that should be used. Using previously described clinical risk factors for UDT results that are inconsistent with the prescribed COAT, we developed a web-based tool to adjust drug testing frequency in patients treated with COAT. Objective The objective of this study was to evaluate a risk stratification tool, the UDT Randomizer, to adjust UDT frequency in patients treated with COAT. Methods Patients were stratified using an algorithm based on readily available clinical risk factors into categories of presumed low, moderate, high, and high+ risk of presenting with UDT results inconsistent with the prescribed COAT. The algorithm was integrated in a website to facilitate adoption across practice sites. To test the performance of this algorithm, we performed a retrospective analysis of patients treated with COAT between June 2016 and June 2017. The primary outcome was compliance with the prescribed COAT as defined by UDT results consistent with the prescribed COAT. Results 979 drug tests (867 UDT, 88.6%; 112 oral fluid testing, 11.4%) were performed in 320 patients. An inconsistent drug test result was registered in 76/979 tests (7.8%). The incidences of inconsistent test results across the risk tool categories were 7/160 (4.4%) in the low risk category, 32/349 (9.2%) in the moderate risk category, 28/338 (8.3%) in the high risk category, and 9/132 (6.8%) in the high+ risk category. Generalized estimating equation analysis demonstrated that the moderate risk (odds ratio (OR) 2.1, 95% CI 0.9-5.0; P=.10), high risk (OR 2.0, 95% CI 0.8-5.0; P=.14), and high risk+ (OR 2.0, 95% CI 0.7-5.6; P=.20) categories were associated with a nonsignificantly increased risk of inconsistency vs the low risk category. Conclusions The developed tool stratified patients during individual visits into risk categories of presenting with drug testing results inconsistent with the prescribed COAT; the higher risk categories showed nonsignificantly higher risk compared to the low risk category. Further development of the tool with additional risk factors in a larger cohort may further clarify and enhance its performance.


2019 ◽  
Author(s):  
Kenneth B Chapman ◽  
Martijn M Pas ◽  
Diana Abrar ◽  
Wesley Day ◽  
Kris C Vissers ◽  
...  

BACKGROUND Several pain management guidelines recommend regular urine drug testing (UDT) in patients who are being treated with chronic opioid analgesic therapy (COAT) to monitor compliance and improve safety. Guidelines also recommend more frequent testing in patients who are at high risk of adverse events related to COAT; however, there is no consensus on how to identify high-risk patients or on the testing frequency that should be used. Using previously described clinical risk factors for UDT results that are inconsistent with the prescribed COAT, we developed a web-based tool to adjust drug testing frequency in patients treated with COAT. OBJECTIVE The objective of this study was to evaluate a risk stratification tool, the UDT Randomizer, to adjust UDT frequency in patients treated with COAT. METHODS Patients were stratified using an algorithm based on readily available clinical risk factors into categories of presumed low, moderate, high, and high+ risk of presenting with UDT results inconsistent with the prescribed COAT. The algorithm was integrated in a website to facilitate adoption across practice sites. To test the performance of this algorithm, we performed a retrospective analysis of patients treated with COAT between June 2016 and June 2017. The primary outcome was compliance with the prescribed COAT as defined by UDT results consistent with the prescribed COAT. RESULTS 979 drug tests (867 UDT, 88.6%; 112 oral fluid testing, 11.4%) were performed in 320 patients. An inconsistent drug test result was registered in 76/979 tests (7.8%). The incidences of inconsistent test results across the risk tool categories were 7/160 (4.4%) in the low risk category, 32/349 (9.2%) in the moderate risk category, 28/338 (8.3%) in the high risk category, and 9/132 (6.8%) in the high+ risk category. Generalized estimating equation analysis demonstrated that the moderate risk (odds ratio (OR) 2.1, 95% CI 0.9-5.0; <i>P</i>=.10), high risk (OR 2.0, 95% CI 0.8-5.0; <i>P</i>=.14), and high risk+ (OR 2.0, 95% CI 0.7-5.6; <i>P</i>=.20) categories were associated with a nonsignificantly increased risk of inconsistency vs the low risk category. CONCLUSIONS The developed tool stratified patients during individual visits into risk categories of presenting with drug testing results inconsistent with the prescribed COAT; the higher risk categories showed nonsignificantly higher risk compared to the low risk category. Further development of the tool with additional risk factors in a larger cohort may further clarify and enhance its performance.


2021 ◽  
pp. 097275312110000
Author(s):  
Kanupriya Sharma ◽  
Priya Battu ◽  
Akshay Anand ◽  
Raghuram Nagarathna ◽  
Navneet Kaur ◽  
...  

Background: Indian Diabetes Risk Score (IDRS) is a screening tool for quantifying the risk of diabetes mellitus (DM) development in the Indian population. The present study has evaluated the level of risk of developing DM in Chandigarh and Panchkula based on the IDRS score. Methods: As a part of a national diabetes control trial funded by the Ministry of Health and Family Welfare (MoHFW) and the Ministry of AYUSH, Government of India, 1,916 participants from the Chandigarh and Panchkula regions were assessed for the risk of developing DM. Risk assessment was done on the basis of the IDRS score which includes age, family history, waist circumference, and physical activity as its contributing factors. Participants with an IDRS score <30 were in the low-risk category, those with 30 to 50 were in the moderate-risk category, and those with >60 were in the high-risk category for DM. Results: Out of the 1,916 screened respondents (59.86% females and 40.14% males), 894 participants (46.65%) were at a high risk for DM (IDRS >60), 764 (39.87%) were at a moderate risk (IDRS = 30–60), and 258 (13.46%) were at a low risk (IDRS <30). Waist circumference contributed to 35.90% of the high-risk category followed by age (19.67%) and physical activity (11.67%). Age and waist circumference also showed a strong correlation with the total IDRS score. Conclusion: The Chandigarh and Panchkula population showed a high tendency to develop DM based on the IDRS score. Modifiable risk factors such as waist circumference and physical activity were the major contributing factors. Apart from the modifiable risk factors, age was also another major contributing risk factor. Based on these outcomes, lifestyle modifications like yoga and exercise can be proposed for this population as a preventive approach to reduce the risk of developing DM and other associated cerebrovascular complications.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sandra Chamat-Hedemand ◽  
Niels Eske Bruun ◽  
Lauge Østergaard ◽  
Magnus Arpi ◽  
Emil Fosbøl ◽  
...  

Abstract Background Infective endocarditis (IE) is diagnosed in 7–8% of streptococcal bloodstream infections (BSIs), yet it is unclear when to perform transthoracic (TTE) and transoesophageal echocardiography (TOE) according to different streptococcal species. The aim of this sub-study was to propose a flowchart for the use of echocardiography in streptococcal BSIs. Methods In a population-based setup, we investigated all patients admitted with streptococcal BSIs and crosslinked data with nationwide registries to identify comorbidities and concomitant hospitalization with IE. Streptococcal species were divided in four groups based on the crude risk of being diagnosed with IE (low-risk < 3%, moderate-risk 3–10%, high-risk 10–30% and very high-risk > 30%). Based on number of positive blood culture (BC) bottles and IE risk factors (prosthetic valve, previous IE, native valve disease, and cardiac device), we further stratified cases according to probability of concomitant IE diagnosis to create a flowchart suggesting TTE plus TOE (IE > 10%), TTE (IE 3–10%), or “wait & see” (IE < 3%). Results We included 6393 cases with streptococcal BSIs (mean age 68.1 years [SD 16.2], 52.8% men). BSIs with low-risk streptococci (S. pneumoniae, S. pyogenes, S. intermedius) are not initially recommended echocardiography, unless they have ≥3 positive BC bottles and an IE risk factor. Moderate-risk streptococci (S. agalactiae, S. anginosus, S. constellatus, S. dysgalactiae, S. salivarius, S. thermophilus) are guided to “wait & see” strategy if they neither have a risk factor nor ≥3 positive BC bottles, while a TTE is recommended if they have either ≥3 positive BC bottles or a risk factor. Further, a TTE and TOE are recommended if they present with both. High-risk streptococci (S. mitis/oralis, S. parasanguinis, G. adiacens) are directed to a TTE if they neither have a risk factor nor ≥3 positive BC bottles, but to TTE and TOE if they have either ≥3 positive BC bottles or a risk factor. Very high-risk streptococci (S. gordonii, S. gallolyticus, S. mutans, S. sanguinis) are guided directly to TTE and TOE due to a high baseline IE prevalence. Conclusion In addition to the clinical picture, this flowchart based on streptococcal species, number of positive blood culture bottles, and risk factors, can help guide the use of echocardiography in streptococcal bloodstream infections. Since echocardiography results are not available the findings should be confirmed prospectively with the use of systematic echocardiography.


Author(s):  
Nazia N. Shaik ◽  
Swapna M. Jaswanth ◽  
Shashikala Manjunatha

Background: Diabetes is one of the largest global health emergencies of the 21st century. As per International Federation of Diabetes some 425 million people worldwide are estimated to have diabetes. The prevalence is higher in urban versus rural (10.2% vs 6.9%). India had 72.9 million people living with diabetes of which, 57.9% remained undiagnosed as per the 2017 data. The objectives of the present study were to identify subjects who at risk of developing Diabetes by using Indian diabetes risk score (IDRS) in the Urban field practice area of Rajarajeswari Medical College and Hospital (RRMCH).Methods: A cross sectional study was conducted using a Standard questionnaire of IDRS on 150 individuals aged ≥20 years residing in the Urban field practice area of RRMCH. The subjects with score <30, 30-50, >or =60 were categorized as having low risk, moderate risk and high risk for developing diabetes type-2 respectively.Results: Out of total 150 participants, 36 (24%) were in high-risk category (IDRS≥60), the majority of participants 61 (41%) were in the moderate-risk category (IDRS 30–50) and 53 (35%) participants were found to be at low-risk (<30) for diabetes. Statistical significant asssociation was found between IDRS and gender, literacy status, body mass index (p<0.0000l).Conclusions: It is essential to implement IDRS which is a simple tool for identifying subjects who are at risk for developing diabetes so that proper intervention can be carried out at the earliest to reduce the burden of diabetes.


2018 ◽  
Vol 55 (4) ◽  
pp. 254-260 ◽  
Author(s):  
Francisca Caimari ◽  
Laura Cristina Hernández-Ramírez ◽  
Mary N Dang ◽  
Plamena Gabrovska ◽  
Donato Iacovazzo ◽  
...  

BackgroundPredictive tools to identify patients at risk for gene mutations related to pituitary adenomas are very helpful in clinical practice. We therefore aimed to develop and validate a reliable risk category system for aryl hydrocarbon receptor-interacting protein (AIP) mutations in patients with pituitary adenomas.MethodsAn international cohort of 2227 subjects were consecutively recruited between 2007 and 2016, including patients with pituitary adenomas (familial and sporadic) and their relatives. All probands (n=1429) were screened for AIP mutations, and those diagnosed with a pituitary adenoma prospectively, as part of their clinical screening (n=24), were excluded from the analysis. Univariate analysis was performed comparing patients with and without AIP mutations. Based on a multivariate logistic regression model, six potential factors were identified for the development of a risk category system, classifying the individual risk into low-risk, moderate-risk and high-risk categories. An internal cross-validation test was used to validate the system.Results1405 patients had a pituitary tumour, of which 43% had a positive family history, 55.5% had somatotrophinomas and 81.5% presented with macroadenoma. Overall, 134 patients had an AIP mutation (9.5%). We identified four independent predictors for the presence of an AIP mutation: age of onset providing an odds ratio (OR) of 14.34 for age 0-18 years, family history (OR 10.85), growth hormone excess (OR 9.74) and large tumour size (OR 4.49). In our cohort, 71% of patients were identified as low risk (<5% risk of AIP mutation), 9.2% as moderate risk and 20% as high risk (≥20% risk). Excellent discrimination (c-statistic=0.87) and internal validation were achieved.ConclusionWe propose a user-friendly risk categorisation system that can reliably group patients into high-risk, moderate-risk and low-risk groups for the presence of AIP mutations, thus providing guidance in identifying patients at high risk of carrying an AIP mutation. This risk score is based on a cohort with high prevalence of AIP mutations and should be applied cautiously in other populations.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6098-6098
Author(s):  
Winston Wong ◽  
Joseph Cooper ◽  
Steve Richardson ◽  
Bruce A. Feinberg

6098 Background: CareFirst BlueCross BlueShield (CFBCBS) insurance network partnered with Cardinal Health Specialty Solutions (CHSS) to develop a cancer care pathway for network physicians in 2008. The program included a recommendation for molecular diagnostic testing with the Oncotype DX assay for pts with early-stage estrogen receptor-positive breast cancer. Based on NCCN guidelines, the pathway suggested adjuvant chemotherapy for all pts with Oncotype DX Recurrence Scores (RS) in the high-risk category. We aimed to determine the RS risk distribution among pts who received Oncotype DX testing and assess the patterns of care that followed. Methods: Using data from CFBCBS, CHSS proprietary claims software, and Genomic Health, we retrospectively identified a cohort of women with breast cancer who were treated on the CFBCBS clinical care pathways program from 8/2008 to 6/2011 and received Oncotype DX testing. We determined the number of pts with a RS value in the low- (RS <18), intermediate- (RS 18-30), and high-risk (RS ≥31) groups along with the number of pts who subsequently received chemotherapy in each category. Results: Of 1174 women who received Oncotype DX testing, 53% of pts were in the low-, 35% in intermediate-, and 12% in the high-risk groups. Five percent of low-, 41% of intermediate-, and 74% percent of pts in the high-risk category were treated with chemotherapy. Twenty-six percent of pts in the high-risk group did not receive chemotherapy. Conclusions: The proportionate use of chemotherapy in the low and intermediate risk groups was as expected based on adjuvant chemotherapy guidelines; however, the underuse of chemotherapy in 26% of high-risk pts was an unexpected finding. Further study is needed to determine: (1) why physicians avoided chemotherapy in 26% of high-risk pts; (2) the overall number of appropriate pts who underwent Oncotype DX testing; and, (3) the tumor characteristics that may have driven the underutilization of chemotherapy in the high-risk population.


2020 ◽  
Author(s):  
Adnan I Qureshi

Background and Purpose There is increasing recognition of a relatively high burden of pre-existing cardiovascular disease in Corona Virus Disease 2019 (COVID 19) infected patients. We determined the burden of pre-existing cardiovascular disease in persons residing in United States (US) who are at risk for severe COVID-19 infection. Methods Age (60 years or greater), presence of chronic obstructive pulmonary disease, diabetes, mellitus, hypertension, and/or malignancy were used to identify persons at risk for admission to intensive care unit, or invasive ventilation, or death with COVID-19 infection. Persons were classified as low risk (no risk factors), moderate risk (1 risk factor), and high risk (two or more risk factors present) using nationally representative sample of US adults from National Health and Nutrition Examination Survey 2017 and 2018 survey. Results Among a total of 5856 participants, 2386 (40.7%) were considered low risk, 1325 (22.6%) moderate risk, and 2145 persons (36.6%) as high risk for severe COVID-19 infection. The proportion of patients who had pre-existing stroke increased from 0.6% to 10.5% in low risk patients to high risk patients (odds ratio [OR]19.9, 95% confidence interval [CI]11.6-34.3). The proportion of who had pre-existing myocardial infection (MI) increased from 0.4% to 10.4% in low risk patients to high risk patients (OR 30.6, 95% CI 15.7-59.8). Conclusions A large proportion of persons in US who are at risk for developing severe COVID 19 infection are expected to have pre-existing cardiovascular disease. Further studies need to identify whether targeted strategies towards cardiovascular diseases can reduce the mortality in COVID-19 infected patients.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Calina-Patricia Tentea ◽  
Roxana Chiorescu ◽  
Sorin Crisan ◽  
Sorin Pop ◽  
Jeremy N Ruskin ◽  
...  

Introduction: We have previously demonstrated that isolated very low QRS voltage (VLV defined as ≤0.3mV) in the frontal leads on the electrocardiogram (ECG; Figure A), as well as flat QRS loops in the frontal plane on ECG-derived vectorcardiograms (VCG; Figure B) predict recurrence of neurally mediated syncope (NMS). This phenomenon is possibly related to a specific ventricular geometry and activation pattern. Hypothesis: The aim of this study was to attempt to incorporate these novel ECG and VCG risk factors for recurrence of syncope into a prognostic risk score. Methods: We included 215 patients (age 48±20years), with NMS and a median of 3 syncopal episodes. The patients were followed for a median of 10 months (IQR 4-20). To weigh the relative importance of the prognostic risk factors identified in multivariate Cox regression analysis we attributed a score of 1 point for HR 1.5-1.99, 2 points for HR 2.0-2.49, and 3 points for HR ≥ 2.5. The total risk score, was divided into three categories: low risk (0-2), intermediate risk (3-5) and high risk (≥6). Results: The multivariate analysis identified history of ≥ 2 syncopal events (HR 3.85, 95%CI 1.62-9.14), left ventricular end-diastolic diameter of < 39mm by echocardiography (HR 1.94, 95%CI 1.00-3.82), isolated VLV QRS in frontal leads (HR 2.60, 95%CI 1.37-4.86) and flat QRS VCG loops in frontal plane (HR 2.23, 95%CI 1.24-3.99) as independent predictors for NMS recurrence (all P < 0.05). The actuarial total syncope recurrence rate at 1 year was 54.6% (95%CI 38.2-72.6) in the high-risk score category, 25.3% (95%CI 16.8-37.1) in the intermediate risk category, and 6.2% (95%CI 2.2-16.2) in the low-risk category (log rank test P<0.0001; Figure C). The ROC curve showed an AUC of 0.77 for the predictive value of the total risk score. Conclusions: The risk of recurrence of NMS could be stratified using a risk score that incorporates novel ECG and VCG parameters in addition to more established clinical and echocardiographic variables.


Author(s):  
Sofia Sousa ◽  
◽  
João Caldeira ◽  
Ana Figueiredo ◽  
Fernando Barata ◽  
...  

Introduction: Malignant pleural effusion (MPE) is a common manifestation in patients with advanced lung cancer. The LENT score was developed as a risk stratification system to predict the survival of these patients. However, following the discovery of molecular markers and a new era of personalized therapy, prognostic estimation became a challenging exercise. The aim of this study was to evaluate the performance of LENT score in predicting MPE survival in EGFR and ALK mutated lung adenocarcinoma. Methods: A retrospective single-center study of patients with MPE from lung adenocarcinoma followed between January 2008 to December 2018. Results: Forty-two patients were included in the study (mean age 76.4 ± 12.6 years, 52% female). Of these patients, 29% exhibited EGFR gene mutation or ALK gene translocation and received tyrosine kinase inhibitor therapy (TKI), in contrast to 71% of patients without identification of mutational factors and receiving conventional chemotherapy. Based on LENT score, in the sub-group treated with conventional chemotherapy, 67% had a moderate-risk category and 33% a high-risk category, with a median overall survival (OS) of 109 (31-406) and 36 (11-77) days, respectively. In the sub-group treated with targeted therapy, 75% were in a moderate-risk category and 25% in a high-risk category with a median OS of 1033 (245-1710) and 238 (27-not available) days, respectively. Patients receiving targeted therapy had a longer survival than patients receiving conventional chemotherapy in all LENT score risk categories (p<0.05). Conclusions: OS in patients with MPE due to lung adenocarcinoma was similar to that predicted by the LENT score, except for patients with EGFR mutation or ALK translocation. In this subgroup, the LENT score seems to underestimate the prognosis. Although this study has limitations regarding sample size, it does reveal, in the present time, some inaccuracy of the LENT score, demonstrating that it needs to be reviewed and revalidated in view of recent therapeutic advances.


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