Comparing survival rates for clusters of depressive symptoms found by Network analysis' community detection algorithms:Results from a prospective population-based study among 9774 cancer survivors from the PROFILES-registry

Objectives: Previous studies have shown that depression is associated with mortality in patients with cancer. Depression is however a heterogeneous construct and it may be more helpful to look at different (clusters) of depressive symptoms than to look at depression as a discrete condition. The aim of the present study is to investigate whether clusters of depressive symptoms can be identified using advanced statistics and to investigate how these symptom clusters are associated with all-cause mortality in a large group of patients with cancer. Method: Data from a large population-based cohort study (PROFILES) including various cancer types were used. Eligible patients completed self-report questionnaires (i.e. Fatigue assessment scale, Hospital anxiety and depression scale, EORTC QOL-C30) after diagnosis. Survival status was determined on 31 January 2022. Results: In total, 9744 patients were included. Network analyses combining different community detection algorithms showed that clusters of depressive symptoms could be detected that correspond with motivational anhedonia, consummatory anhedonia and negative affect. Survival analyses using the variables that represented these clusters best showed that motivational and consummatory anhedonia were associated with survival. Even after controlling for clinical and sociodemographic variables items assessing motivational anhedonia were significantly associated with mortality over time. Conclusion: Separate clusters of symptoms that correspond with motivational and consummatory anhedonia and negative affect can be distinguished and anhedonia may be associated with mortality more than negative affect. Looking at particular (clusters of) depressive symptoms may be more informative and clinically relevant than using depression as a single construct (i.e. syndrome).</p

Original research: long-term prognosis after ST-elevation myocardial infarction in patients with a prior cancer diagnosis

Introduction It is unknown how long-term prognosis after ST-elevation myocardial infarction (STEMI) in patients with a prior cancer diagnosis is impacted by cancer-related factors as diagnosis, stage, and treatment. We aimed to assess long-term survival trends after STEMI in this population to evaluate both cardiovascular and cancer-related drivers of prognosis over a follow-up period of 5 years. Methods In this retrospective single-center cohort study, patients with a prior cancer diagnosis admitted with STEMI between 2004 and 2014 and treated with primary percutaneous coronary intervention (PCI) were recruited from the STEMI clinical registry of our institution. Results In the 211 included patients, the cumulative incidence of all-cause death after 5 years of follow-up was 38.1% (N = 60). The cause of death was predominantly malignancy-related (N = 29, 48.3% of deaths) and nine patients (15.0%) died of a cardiovascular cause. After correcting for age and sex, a recent cancer diagnosis ( 10 years, HRadj 2.98 [95% CI: 1.39-6.41], p = 0.005) and distant metastasis at presentation (HRadj 4.02 [1.70-9.53], p = 0.002) were significant predictors of long-term mortality. While maximum levels of cardiac troponin-T and creatinine kinase showed significant association with mortality (resp. HRadj 1.34 [1.08-1.66], p = 0.008; HRadj 1.36 [1.05-1.76], p = 0.019), other known determinants of prognosis after STEMI, e.g., hypertension and renal insufficiency, were not significantly associated with survival. Conclusions Patients with a prior cancer diagnosis admitted with STEMI have a poor survival rate. However, when the STEMI is optimally treated with primary PCI and medication, cardiac mortality is low, and prognosis is mainly determined by factors related to cancer stage.Cardiolog

Coronary anomalies in tetralogy of Fallot - a meta-analysis

Background: An anomalous coronary artery is reported in 2% to 23% of patients with tetralogy of Fallot (TOF). Knowledge of coronary anatomy prior to corrective surgery is vital to avoid damage to vessels crossing the right ventricular outflow tract (RVOT). A meta-analysis on the prevalence of anomalous coronary arteries in TOF is lacking to date. Here, an overview of coronary anomalies in TOF is provided and implications for patient management are discussed.Methods: PubMed, Embase and Web of Science were searched. Analysis was done using Revman 5.3 (Cochrane Community, London). The primary analysis focused on the origin and proximal course of the right and left coronary arteries. In addition, the prevalence of large conus arteries and coronary arteriovenous fistulas (CAVF) was calculated.Results: Twenty-eight studies, encompassing 6956 patients, were included; 6% of TOF patients have an anomalous coronary artery. Hereof, 72% cross the RVOT; the majority of the remaining 28% courses behind the aorta. Six percent of patients have a large conus artery and 4% a CAVF. Other coronary anomalies include a left or right coronary artery from the pulmonary trunk or left or right pulmonary artery, coronary tree hypoplasia and anastomoses between coronary and bronchial arteries.Conclusions: The prevalence of coronary anomalies in TOF is 4-6%. In patients with an anomalous coronary artery, 72% cross the RVOT. The combined risk of encountering an anomalous coronary artery or a large conus artery crossing the RVOT is 10.3%. Coronary anatomy should be defined before surgery and the surgical approach adapted accordingly. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Cardiolog

On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction

International audienceWe consider a proteomic mass spectrometry case-control study for the calibration of a diagnostic rule for the detection of early-stage breast cancer. For each patient, a pair of two distinct mass spectra is recorded, each of which derived from a different prior fractionation procedure on the available patient serum. We propose a procedure to combine the distinct spectral expressions from patients for the calibration of a diagnostic discriminant rule. This is achieved by first calibrating two distinct prediction rules separately, each of which on only one of the two available spectral data sources. A double cross-validatory approach is used to summarize the available spectral data using the two classifiers to posterior class probabilities, on which a combined predictor can be calibrated

Validation and feasibility of echocardiographic assessment of systemic right ventricular function: serial correlation with MRI

Background: Inherent to its geometry, echocardiographic imaging of the systemic right ventricle (RV) is challenging. Therefore, echocardiographic assessment of systemic RV function may not always be feasible and/or reproducible in daily practice. Here, we aim to validate the usefulness of a comprehensive range of 32 echocardiographic measurements of systemic RV function in a longitudinal cohort by serial assessment of their correlations with cardiac magnetic resonance (CMR)-derived systemic RV ejection fraction (RVEF).Methods: A single-center, retrospective cohort study was performed. Adult patients with a systemic RV who underwent a combination of both CMR and echocardiography at two different points in time were included. Off-line analysis of echocardiographic images was blinded to off-line CMR analysis and vice versa. In half of the echocardiograms, measurements were repeated by a second observer blinded to the results of the first. Correlations between echocardiographic and CMR measures were assessed with Pearson's correlation coefficient and interobserver agreement was quantified with intraclass correlation coefficients (ICC).Results: Fourteen patients were included, of which 4 had congenitally corrected transposition of the great arteries (ccTGA) and 10 patients had TGA late after an atrial switch operation. Eight patients (57%) were female. There was a mean of 8 years between the first and second imaging assessment. Only global systemic RV function, fractional area change (FAC), and global longitudinal strain (GLS) were consistently, i.e., at both time points, correlated with CMR-RVEF (global RV function: r = -0.77/r = -0.63; FAC: r = 0.79/r = 0.67; GLS: r = -0.73/r = -0.70, all p-values < 0.05). The ICC of GLS (0.82 at t = 1, p = 0.006, 0.77 at t = 2, p = 0.024) was higher than the ICC of FAC (0.35 at t = 1, p = 0.196, 0.70 at t = 2, p = 0.051) at both time points.Conclusion: GLS appears to be the most robust echocardiographic measurement of systemic RV function with good correlation with CMR-RVEF and reproducibility.Cardiolog

A multicomponent intervention to decrease sedentary time during hospitalization: a quasi-experimental pilot study

Objective:The aim of this study was to evaluate the feasibility and preliminary effects of a multicomponent intervention to decrease sedentary time during and shortly after hospitalization.Design:This is a quasi-experimental pilot study comparing outcomes in patients admitted before and after the implementation of the intervention.Setting:The study was conducted in a university hospital.Subjects:Participants were adult patients undergoing elective organ transplantation or vascular surgery.Interventions:In the control phase, patients received usual care, whereas in the intervention phase, patients also received a multicomponent intervention to decrease sedentary time. The intervention comprised eight elements: paper and digital information, an exercise movie, an activity planner, a pedometer and Fitbit Flex (TM), a personal activity coach and an individualized digital training program.Measures:Measures of feasiblity were the self-reported use of the intervention components (yes/no) and satisfaction (low-high = 0-10). Main outcome measure was the median % of sedentary time measured by an accelerometer worn during hospitalization and 7-14 days thereafter.Results:A total of 42 controls (mean age = 59 years, 62% male) and 52 intervention patients (58 years, 52%) were included. The exercise movie, paper information and Fitbit Flex were the three most frequently used components, with highest satisfaction scores for the fitbit, paper information, exercise movie and digital training. Median sedentary time decreased from 99.6% to 95.7% and 99.3% to 91.0% between Days 1 and 6 in patients admitted in the control and intervention phases, respectively. The difference at Day 6 reached statistical significance (difference = 41 min/day, P = 0.01). No differences were seen after discharge.Conclusion:Implementing a multicomponent intervention to reduce sedentary time appeared feasible and may be effective during but not directly after hospitalization.Vascular Surger

Extent of coronary artery disease in patients with stenotic bicuspid versus tricuspid aortic valves

Background Bicuspid aortic valve (BAV) is the most common congenital cardiac malformation, which is often complicated by aortic valve stenosis (AoS). In tricuspid aortic valve (TAV), AoS strongly associates with coronary artery disease (CAD) with common pathophysiological factors. Yet, it remains unclear whether AoS in patients with BAV is also associated with CAD. This study investigated the association between the aortic valve morphological features and the extent of CAD.Methods and Results A single-center study was performed, including all patients who underwent an aortic valve replacement attributable to AoS between 2006 and 2019. Coronary sclerosis was graded on preoperative coronary angiographies using the coronary artery greater even than scoring method, which divides the coronaries in 28 segments and scores nonobstructive (20%-49% sclerosis) and obstructive coronary sclerosis (>49% sclerosis) in each segment. Multivariate analyses were performed, controlling for age, sex, and CAD risk factors. A total of 1296 patients (931 TAV and 365 BAV) were included, resulting in 548 matched patients. Patients with TAV exhibited more CAD risk factors (odds ratio [OR], 2.66; 95% CI, 1.79-3.96; PCardiolog

Late follow-up of neo-aortic dimensions and coronary arteries in adult patients after the arterial switch operation

BackgroundAfter the arterial switch operation (ASO) for transposition of the great arteries (TGA), neo-aortic dilatation and coronary arterial anomalies, especially an interarterial course and acute coronary artery take-off angle, are commonly found. Long-term follow-up data after ASO is scarce. Aim of this study was to determine the prevalence of neo-aortic dilatation and coronary abnormalities, with special emphasis on acute coronary take-off angle, in adult TGA-ASO patients.MethodsIn this retrospective cohort study, all adult TGA-ASO patients with ≥1 CT-angiography (CTA) at the age of ≥16 years were included.ResultsEighty-one patients, 69 % male and median age 21.0 [18.5–22.8] years, were included. At baseline, maximum neo-aortic diameter was 39.2 ± 5.3 mm; 35 (43 %) patients had neo-aortic dilatation (neo-aortic diameter of >40 mm), 22 (27 %) patients had an acute coronary take-off angle (RCA (2 %) or LCA (4 %). Neo-aortic or coronary artery re-intervention occurred in 10 (12 %) patients. All 10 patients had neo-aortic dilatation or coronary take-off angle of ConclusionThis study reports a prevalence of 43 % of neo-aortic dilatation, 6 % of interarterial coronary course and 27 % for acute coronary take-off angle (40 mm or a coronary take-off angle of in patients with neo-aortic dilation and/or an acute angulation of Radiolog

Efficient cross-validatory computations and influence measures for principal component and partial least squares decompositions with applications in chemometrics

Available from British Library Document Supply Centre-DSC:DXN009015 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Assessment of Patient-Specific Surgery Effect Based on Weighted Estimation and Propensity Scoring in the Re-Analysis of the Sciatica Trial

Development and application of statistical models for medical scientific researc