ABSTRACT
There is limited data on the effect of sacubitril-valsartan on the echocardiographic parameters in acute decompensated heart failure (ADHF). We prospectively enrolled 68 consecutive patients with ADHF who received sacubitril-valsartan (N = 34, S/V group) or angiotensin inhibition-based therapy (N = 34, ACEi/ARB group). Two-dimensional echocardiography with speckle tracking (2D-STE) was performed at baseline and after 3 months of treatment. Changes in 2D-STE parameters, including global longitudinal strain (GLS), were compared between the groups by t test and ANCOVA. Baseline characteristics were similar between the groups. Following 3 months of treatment, LVEF and GLS significantly improved in the S/V group (mean LVEF from 27 to 34.5% and GLS from - 6.6 to - 9.4%) but not in ACEi/ARB group. The improvement in LVEF and GLS was more prominent in patients with non-ischemic cardiomyopathy. In patients with ADHF 3-month treatment with sacubitril-valsartan, compared to guideline directed medical therapy without sacubitril, improves LVEF and GLS. Graphical Abstract A typical change in GLS in a patient with acute decompensated heart failure after 3 months of sacubitril-valsartan.
PMID:32557158 | DOI:10.1007/s12265-020-10041-4
20:03
PubMed articles on: Cancer & VTE/PE
microRNAs and Markers of Neutrophil Activation as Predictors of Early Incidental Post-Surgical Pulmonary Embolism in Patients with Intracranial Tumors
Oto J, et al. Cancers (Basel) 2020.
ABSTRACT
Venous thromboembolism (VTE) is a common complication of cancer that severely increases morbidity and mortality. Patients with intracranial tumors are more likely to develop VTE than patients with cancers at other sites. Conversely, limited tools exist to identify patients with high thrombotic risk. Upon activation, neutrophils release their content through different mechanisms triggering thrombosis. We explored the ability of microRNAs (miRNAs) and plasma markers of neutrophil activation measured before surgery to predict the risk of early post-surgical pulmonary embolism (PE) in glioma and meningioma patients. We recruited and prospectively followed 50 patients with glioma and 50 with meningioma, 34% of whom in each group developed an early objectively-diagnosed post-surgical PE. We measured miRNA expression and neutrophil markers (cell-free DNA, nucleosomes, calprotectin and myeloperoxidase) before surgery. In glioma patients, we adjusted and validated a predictive model for post-surgical PE with 6 miRNAs: miR-363-3p, miR-93-3p, miR-22-5p, miR-451a, miR-222-3p and miR-140-3p (AUC = 0.78; 95% Confidence Interval (CI) [0.63, 0.94]) and another with cfDNA and myeloperoxidase as predictors (AUC = 0.71; 95%CI [0.52, 0.90]). Furthermore, we combined both types of markers and obtained a model with myeloperoxidase and miR-140-3p as predictors (AUC = 0.79; 95%CI [0.64, 0.94]). In meningioma patients we fitted and validated a predictive model with 6 miRNAs: miR-29a-3p, miR-660-5p, miR-331-3p, miR-126-5p, miR-23a-3p and miR-23b-3p (AUC = 0.69; 95%CI [0.52, 0.87]). All our models outperformed the Khorana score. This is the first study that analyzes the capability of plasma miRNAs and neutrophil activation markers to predict early post-surgical PE in glioma and meningioma patients. The estimation of the thrombotic risk before surgery may promote a tailored thromboprophylaxis in a selected group of high-risk patients, in order to minimize the incidence of PE and avoid bleedings.
PMID:32545233 | DOI:10.3390/cancers12061536
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20:03
PubMed articles on: Cardio-Oncology
A clinician's guide for developing a prediction model: a case study using real-world data of patients with castration-resistant prostate cancer
Veen KM, et al. J Cancer Res Clin Oncol 2020 - Review.
ABSTRACT
PURPOSE: With the increasing interest in treatment decision-making based on risk prediction models, it is essential for clinicians to understand the steps in developing and interpreting such models.
METHODS: A retrospective registry of 20 Dutch hospitals with data on patients treated for castration-resistant prostate cancer was used to guide clinicians through the steps of developing a prediction model. The model of choice was the Cox proportional hazard model.
RESULTS: Using the exemplary dataset several essential steps in prediction modelling are discussed including: coding of predictors, missing values, interaction, model specification and performance. An advanced method for appropriate selection of main effects, e.g. Least Absolute Shrinkage and Selection Operator (LASSO) regression, is described. Furthermore, the assumptions of Cox proportional hazard model are discussed, and how to handle violations of the proportional hazard assumption using time-varying coefficients.
CONCLUSION: This study provides a comprehensive detailed guide to bridge the gap between the statistician and clinician, based on a large dataset of real-world patients treated for castration-resistant prostate cancer.
PMID:32556680 | DOI:10.1007/s00432-020-03286-8
20:04
PubMed articles on: Cardio-Oncology
Echocardiography and biomarkers for the diagnosis of cardiotoxicity
Berliner D, et al. Herz 2020 - Review.
ABSTRACT
As a result of better treatment options for malignant cancer, the cardiovascular side effects of such therapies have increasingly come into focus in recent years. The new cardiological subspecialty of oncocardiology is developing strategies to prevent and/or detect those effects early in order to treat them in a timely and adequate manner. The diagnosis of cardiotoxic effects is based mainly on imaging and specific biomarkers. Echocardiography has become the main imaging technique due to its wide availability. In addition to quantitative determination of left ventricular function using two-dimensional methods, three-dimensional methods offer better precision and less variability in the detection of cardiac dysfunction. Furthermore, the analysis of the global longitudinal strain (GLS) reveals even subtle changes in left ventricular function and thus detects very early damage before left ventricular ejection fraction drops. Various biomarkers have been tested recently for their potential to detect cardiotoxicity. Cardiac troponins are currently the best investigated biomarkers and certainly have the highest impact. Due to contradicting results, the importance of natriuretic peptides has not yet been conclusively clarified. Results for myeloperoxidase are promising, as are the results for circulating microRNAs, which still mainly derive from experimental data. In this context, further studies still need to show the value of these in everyday clinical practice.
PMID:32564096 | DOI:10.1007/s00059-020-04957-5
20:04
PubMed articles on: Cancer & VTE/PE
Dissolution of metastatic thymic carcinoma-associated right atrial thrombus with rivaroxaban
Nimblette C, et al. SAGE Open Med Case Rep 2020.
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