Clinical Significance of Cardiac Co-Morbidities and Risk Factors for Patients Treated with Imatinib.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4490-4490
Author(s):  
Asifa Malik ◽  
Jorge E. Cortes ◽  
Hagop Kantarjian ◽  
Gloria Mattiuzzi ◽  
Gloria Iliescu ◽  
...  

Abstract Abstract 4490 Background: Imatinib is currently standard therapy for patients with success in Chronic Myeloid Leukemia (CML). Several instances of cardiac adverse events have been reported for patients while on therapy with imatinib. In many instances, these events occur in patients with pre-existing cardiac conditions. The aim of our study was to determine the occurrence of cardiac events in patients with CML treated with Imatinib, and the impact that cardiac risk factors and pre-existing cardiac conditions had on the risk of developing cardiac adverse effects. Methods: We reviewed the medical records of 51 patients with chronic phase CML who were treated with imatinib after failing prior therapies. For each patient we collected cardiac risk factors, pre-existing cardiac disease, pre-treatment EKG and echocardiogram (ECHO) readings, as well as post-treatment changes in EKG and ECHO findings. Results: Pre-existing cardiac conditions were found in 14 (27%) patients, including congestive heart failure in 2 (4%), myocardial infarction in 4 (8%), atrial fibrillation in 1 (2%), benign arrhythmias in 1(2%), aortic regurgitation in 1(2%), mitral valve prolapse in 1 (2%), mitral regurgitation in 1(2%), pericarditis in 1(2%), bradycardia in1(2%) and benign arrhythmia in 1(2%). Cardiac risk factors were present in 26 patients (51%), including smoking in 10 patients (20%), hypertension in 17 (33%), diabetes mellitus in 9 (18%), obesity in 2 (4%), hyperlipidemia in 5 (10%), stress (self-reported by patient or on anxiolytic therapy) in 5 (10%), alcohol in 11 (22%), atherosclerosis in 3 (6%), and positive family history for cardiac disease in 5 patients (9.8%). Cardiac events were noted in 19 patients (37%) of whom 11 (58%) had pre-existing cardiac conditions prior to initiating imatinib treatment and 14 patients (27%) had at least one cardiac risk factor. Congestive heart failure with clinical manifestations was seen in 9 patients (18%) with documentation of decreased ejection fraction on echocardiogram seen in 3 patients (6%) who had a decrease in LVEF from a median of 55% (range 50% to 72%) to a median of 45% (range 25% to 60%). Out of the patients who developed CHF while on treatment with imitanib, 3 patients (6%) had history of cardiac conditions (atrial fibrillation in 1 (2%), congestive heart failure in 2 (4%)). Myocardial infarction was documented in 3 patients (6%), one of which had prior myocardial infarction and pacemaker, another had history of mitral valve prolapse and hypertension; one patient had hypertension, diabetes mellitus and positive family history but no prior history of heart disease. Arrhythmia was seen in 3 patients (6%). Post-treatment EKG changes occurred in 14 patients (27%) including bradycardia, PAC's, PVC's, ST-T wave changes, tachycardia and other rhythm abnormalities. These changes were usually asymptomatic. Gated cardiac study done after a median of 63 months (range 29 to 83 months) after initiation of imatinib treatment showed EF below 60% in 9 patients (18%) with a median of 55% (range 36% to 59%). None of the patients died of cardiac conditions and none discontinued imatinib therapy because of cardiac events. Conclusion: Although cardiac events occur in some patients treated with imatinib, these are much more common among patients with pre-existing cardiac conditions and/or cardiac risk factors. These patients need to be monitored closely to minimize their risk and intervene early when new cardiac events arise. Disclosures: Cortes: novartis: Research Funding; BMS: Research Funding; Pfizer: Consultancy, Research Funding. Kantarjian:novartis: Research Funding; BMS: Research Funding. O'Brien:Novartis: Research Funding.

1996 ◽  
Vol 85 (2) ◽  
pp. 254-259 ◽  
Author(s):  
Michael J. Haering ◽  
Mark E. Comunale ◽  
Robert A. Parker ◽  
Edward Lowenstein ◽  
Pamela S. Douglas ◽  
...  

Background Many data are available regarding cardiac risk in patients with coronary artery disease undergoing noncardiac surgery, but few data are available regarding risk for patients with hypertrophic cardiomyopathy and asymmetric septal hypertrophy. Methods Seventy-seven patients with asymmetric septal hypertrophy were identified in whom an echocardiogram had been performed within 24 months of noncardiac surgery. Patients' charts were reviewed for data regarding surgical operations, including length of surgery, type of anesthesia, and intravascular monitoring used. Data regarding adverse perioperative cardiac events also were gathered. Results Forty percent (n = 31) of patients had one or more adverse perioperative cardiac events, including one patient who had a myocardial infarction and ventricular tachycardia that required emergent cardioversion. There were no perioperative deaths. All 31 patients had minor outcomes. Of the 77 patients, perioperative congestive heart failure developed in 12 (16%). Factors associated with adverse cardiac events were increasing length of surgical time (P < 0.01) major surgery (P < 0.05), and intensity of monitoring (P < 0.05). Age, gender, resting outflow tract gradient, systolic anterior motion of the anterior mitral leaflet, prior myocardial infarction, severity of mitral regurgitation, type of anesthetic, septal thickness, and the interval between echocardiogram and surgery were not associated with the occurrence of adverse cardiac events. Conclusion Patients with asymmetric septal hypertrophy undergoing noncardiac surgery have a high incidence of adverse cardiac events, frequently manifested as congestive heart failure. However, irreversible cardiac morbidity and mortality was extremely low. Important independent risk factors for adverse outcome in all patients include major surgery and increasing duration of surgery.


2011 ◽  
Vol 26 (S1) ◽  
pp. s165-s165
Author(s):  
P. Kashani

ObjectiveTo investigate the association of cardiac Risk factors and the risk of Acute myocardial infarction, in ED patients with non-diagnostic ECG. Methods:Results474 patients were enrolled,150 had non diagnostic ECG In this study HTN with p-value = 0/012 (> 0/05), HIP with p-value = 0/0001 (> 0/001), FH with p-value = 0/001(> 0/01) was significantly more prevalent in those who ruled in for AMI.ConclusionIn the past studies in patients with non-diagnostic ECG only hypertension Was significantly more prevalent in those who ruled in for AMI and cardiac risk factors have limited clinical value in diagnosing of AMI in ED patients. In this study HLP, HTN, FH was significantly more prevalent in those who ruled in for AMI An observational study is conducted in an educational hospital in Shahid Beheshti university during a period of two years. In this study, patients with symptoms suggestive of AMI including. chest pain, Dyspnea, palpitation, syncope, cerebrovascular accident, nausea, vomiting, vertigo, loss of consciousness were enrolled. Demographic, historical feature and risk factors, such as age, sex, diabetes, hypertension, hyper lipidemia, renal failure, positive family history of CAD, smoking, substance abuse, Alcohol use in the past 24 hours, cocaine use in the past 48 h were recorded. Nondiagnost ECG including these categories: Normal, non specific, early Repolarization, abnormal without signs of ischemia such as old bundle branch block, LVH, … A final diagnosis of Acute myocardial infarction was determined by CK - MB and Troponin - 1.


2003 ◽  
Vol 18 (2) ◽  
pp. 219-225 ◽  
Author(s):  
Susan M. Frayne ◽  
Katherine M. Skinner ◽  
Lisa M. Sullivan ◽  
Karen M. Freund

The purpose of this article is to determine whether known cardiac risk factors are more prevalent among women veterans who report having sustained sexual assault while in the military. We surveyed a random sample of 3,632 women veterans using Veterans Administration (VA) ambulatory care nationally. Obesity, smoking, problem alcohol use, sedentary lifestyle, and hysterectomy before age 40 were found to be more common in women reporting a history of sexual assault while in the military than in women without such history. An association between myocardial infarction and prior sexual assault history may be mediated in part by known cardiac risk factors.


2021 ◽  
Vol 18 (4) ◽  
pp. 62-72
Author(s):  
D. A. Sokolov ◽  
P. A. Lyuboshevsky ◽  
I. N. Staroverov ◽  
I. A. Kozlov

The objective: to analyze the incidence and spectrum of cardiovascular complications within 12 months after noncardiac surgery, as well as to assess the association of preoperative values of various cardiac risk indices (CRI) and other potential risk factors with the actual development of complications.Subjects and Methods. We analyzed data of medical records and telephone interviews of 141 patients aged 65 [60-71] years who had undergone non-cardiac surgery a year before the interview The operations were low risk in 13.5% of observations, medium risk in 64.5%, and high risk in 22%. A retrospective calculation of the Revised CRI (RCRI), Individual CRI (Khoronenko CRI), and the American College of Surgeons Perioperative Risk for Myocardial Infarction or Cardiac Arrest (MICA) was performed.Results. Cardiac events (myocardial infarction, decompensation of chronic heart failure, new arrhythmias, stroke, and/or the need to prescribe or escalate the dose of cardiovascular drugs and/or hospitalization for cardiac indications, and/or death from cardiovascular diseases) within 12 months after elective noncardiac surgeries were detected in 27.7% of cases, and in 2.1% of patient's death occurred due to cardiac disorders. Predictors of cardiac events were concomitant ischemic heart disease (OR = 2.777; 95% CI 1.286-5.966; p = 0.0093) and chronic heart failure (OR = 2.900; 95% CI 1.224-6.869; p = 0, 0155), RCRI (OR = 1.886; 95% CI 1.2-8-2.944; p = 0.005), Khoronenko CRI (OR = 3254.3; 95% CI 64.33-164,638; p = 0.0001), MICA (OR = 1.628; 95% CI 1.156-2.292; p = 0.005), creatininemia on the first postoperative day (OR = 1.023; 95% CI 1.010-1.061; p = 0.005), and propensity for bradycardia during surgery (OR = 0.945; 95% CI 0.908-0.983; p = 0.005). Combined analysis of Khoronenko's CRI and postoperative creatininemia provided a very good model: area under the ROC-curve - 0.823 (95% CI 0.728-0.641; p = 0.0002).Conclusion. All studied CRIs can be used to predict posthospital cardiac events; however, the most promising is a joint assessment of Khoronenko's CRI and postoperative creatinemia.


2015 ◽  
Vol 81 (4) ◽  
pp. 358-364 ◽  
Author(s):  
Zhobin Moghadamyeghaneh ◽  
Steven D. Mills ◽  
Joseph C. Carmichael ◽  
Alessio Pigazzi ◽  
Michael J. Stamos

There are limited data regarding the specific risk factors of postoperative myocardial infarction (MI) in patients undergoing colorectal resectional surgery. We sought to identify risk factors of acute MI after colorectal resection operations. The National Inpatient Sample database was used to identify patients who had postoperative MI after colorectal resection operations between 2002 and 2010. Statistical analysis was performed to identify factors predictive of postoperative MI. We sampled a total of 2,513,124 patients undergoing colorectal resection, of whom 38,317 (1.5%) sustained a postoperative MI. Patients with postoperative MI had associated 28.5 per cent in-hospital mortality. Risk factors identified include ( P < 0.01): history of congestive heart failure (odds ratio [OR], 8.18), chronic renal failure (OR, 3.86), age 70 years or older (OR, 3.68), peripheral vascular disorders (OR, 2.93), fluid and electrolyte disorders (OR, 2.69), emergency admission (OR, 2.56), preoperative weight loss (OR, 2.49), cardiac valvular disease (OR, 2.46), chronic lung disease (OR, 1.75), deficiency anemia (OR, 1.22), colorectal cancer (OR, 1.77), and hypertension (OR, 1.14). Postoperative MI occurs in less than 2 per cent of colorectal resections. However, patients sustaining postoperative MI are over six times more likely to die. Congestive heart failure and chronic renal failure are the strongest predictors of postoperative MI.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15075-e15075
Author(s):  
Brian Dreyfus ◽  
Samuel P Heilbroner ◽  
Reed Few ◽  
Christine Kratt ◽  
Andres Gomez

e15075 Background: Many oncology treatments have been associated with cardiovascular (CV) adverse events. Cases of CV events, including myocarditis have been reported for PD-1 and PD-L1 therapies. We created a machine learning model to predict potential CV events in PD-(L)1 patients using the CancerLinQ database. Methods: A XGBoosted decision tree model was trained to predict a patient’s risk of serious CV adverse events. The model was trained on 80% of all advanced non-small cell lung cancer (NSCLC), melanoma, and renal cell carcinoma (RCC) patients from our database including those who received PD-(L)1 therapy. Index date was defined as date of first PD-(L)1 administration or date of advanced diagnosis if no PD-(L)1 drug was given. The model contained approximately 400 potential risk factors for cardiac disease including elements of past medical history, social history, vitals, common labs, cancer history (e.g. stage, cancer type), medication history, and PD-(L)1 specific factors including PD-(L)1 expression status and PD-(L)1 therapy administered. The model was tested on two separate validation sets (patients not used in training): one using advanced NSCLC, melanoma, and RCC patients and another with PD-(L)1 patients only. Each factor’s importance to the model’s predictions was calculated using SHAP summary plots, a qualitative technique for interpreting machine learning models. Results: A total of 27,172 advanced cancer patients were included in our study. 4,966 received PD-(L)1 therapy. The model was trained on 21,758 patients and 5,414 patients were set aside for testing. The model predicted serious cardiac events within 100 days of index with an AUC-ROC of 0.75 in all patients and 0.79 in PD-(L)1 patients. The top predictors of cardiac risk in PD-(L)1 patients included a history of heart disease, weight loss, the % lymphocyte count, and median LDH. The % lymphocyte count and weight loss were noticeably more predictive in PD-(L)1 patients than in non-PD-(L)1 patients. However, in general SHAP summary plots of all and PD-(L)1 patients were nearly identical, suggesting that both cohorts’ cardiac risk is determined in a similar way. PD-(L)1 and autoimmune disease associated factors did not appear in the top 40 most predictive risk factors. Conclusions: Using traditional cardiac risk factors, our model was able to predict potential cardiac events in PD-(L)1 patients. Our model found that high lymphocyte count may be protective while weight loss and a history of cardiac disease (e.g. heart failure) could indicate a poor prognosis.


2021 ◽  
Vol 28 (5) ◽  
pp. 407-408
Author(s):  
Ana García-Martínez ◽  
Beatriz López-Barbeito ◽  
Gemma Martínez-Nadal ◽  
Òscar Miró

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