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P937 Left atrial longitudinal strain as a marker of acute cellular rejection in heart transplant recipients: impact of intervendor variability. Eur Heart J Cardiovasc Imaging 2020. [DOI: 10.1093/ehjci/jez319.570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction and purpose
Preliminary reports suggests that left atrial longitudinal strain (LALS) variables are a sensitive marker of acute cellular rejection (ACR) in heart transplant recipients (HTxR), discriminating between those studies without rejection and those with any grade of rejection. Intervendor variability is a concern in the widespread use of this technique. Our objective was to compare the LALS evaluated by two different softwares.
Methods
From September 2014 to October 2016 we performed, in 18 consecutive adult HTxR in their first year posttransplantation, serial echocardiographic exams within 3 hours of the routine surveillance endomyocardial biopsies (EMB), in a single centre. Peak average longitudinal strain, and strain rate were measured in the left atrium in the apical four chambers view in all studies, using both softwares, its association with the presence of ACR was investigated, and intervendor variability was evaluated.
Results
a total of 147 pairs of EMB and echo exams were performed, 65 with no rejection (grade 0R), 82 with any grade of ejection (grades 1R and 2R). Intraclass correlation coeficients for intervendor reproducibility for LALS and LALSR were 0.4 (95%CI 0.26 - 0.57) and 0.3 (95%CI -0.06 - 0.52) respectively. The number of segments evaluable by each software was significantly different. Association of LALS with rejection is shown in the table.
Conclusions
In this monocentric prospective study, left atrial longitudinal strain variables were found to be a sensitive marker of acute cellular rejection in heart transplant recipients. Although intervendor reproducibility was poor, these results were consistent between both software.
Results Software n/N (%)* Variable No ACR ACR≥1 p value Siemens 114/147 (77.5) Peak atrial LS 19.4 ± 7.4 15.5 ± 6.3 0.006 114/147 (77.5) Peak atrial LSR 1.5 ± 0.4 1.3 ± 0.5 0.005 TomTec 131/147 (89.1) Peak atrial LS 19.1 ± 6.2 14.1 ± 5.4 <0.005 131/147 (89.1) Peal atrial LSR 1.0 ± 0.4 0.8 ± 0.3 <0.005 n: number of exams evaluable by each software. N: total numbers of exams. *p = 0.01 for comparison between the proportion of exams evaluable by each software.
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P3119Malignancy after Heart Transplantation: Difference in incidence and prognosis between genders. Data from the Spanish post-Heart Transplant Tumor Registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Malignancy is one of the leading causes of mortality in the long term follow up after heart transplantation (HT). Male sex has been described as an independent risk factor for developing cancer in this group of patients. However, the real incidence of all type of neoplasm and its impact prognosis in mortality in both group of sex remains unknown.
Purpose
The aim of this study was to assess the incidence of malignancy and the disparity in its relative weight as a cause of death between genders.
Methods
Observational longitudinal study of heart transplant patients from the Spanish post-HT Tumor registry (SPHTTR) who underwent HT in this country from 1984 to 2017. Re-transplant, combined transplant patients and those with survival less than 3 months since HT were excluded. Incidence and mortality rates per 1000 person-year for all tumors, skin cancer (including melanoma), lymphoma and non-skin solid malignancy (NSSM) were calculated for both groups of sex. The main end-point of the study was death for any causes related to cancer following HT. Survival curves since first diagnosis of neoplasia were constructed using Kaplan Meier estimates and comparisons among genders were performed using long-rank test.
Results
A total of 5865 patients (81.6% male, 18.4% female) were included in the analysis. Incidence and mortality rates in both genders are summarized in Table 1. Total cumulative incidence rate of all tumors, non-skin solid malignancy and lung cancer were higher in men patients (All tumors: 44.8 vs 25.7 per 1000 person-year; female to male RR 0.68, 95% CI 0.60–0.78, p<0.001). Mortality rates were also higher in male patients for all types of tumors (RR 0.76, CI 95% 0.62–0.94, p=0.01) and for NSSM (RR 0.60, 95% CI 0.44–0.80, p=0.001) albeit not for cutaneous neoplasia or lymphoma. Survival curves are shown in figure 1 and display significant differences among both genders (p=0.0037).
Table 1 Type of tumor Female Male Female to Male Incidence RR Female to male mortality RR Incidence rate* Mortality rate* Incidence rate* Mortality rate* RR p-value RR p-value All tumors 25.7 (22.8–29.0) 94.0 (77.3–114.3) 44.8 (42.9–46.8) 129.6 (120.9–138.9) 0.68 (0.60–0.78) <0.001 0.76 (0.62–0.94) 0.01 Skin cancer 12.6 (10.6–15.0 63.2 (45.4–88.0) 24.4 (23.0–25.9) 70.4 (62.6–79.1) 0.62 (0.52–0.74) <0.001 0.88 (0.62–1.25) 0.481 Lymphoma 2.0 (1.3–3.0) 137.8 (80.0–237.3) 2.5 (2.1–3.0) 237.5 (187.9–300.2) 0.84 (0.52–1.36) 0.483 0.58 (0.32–1.06) 0.076 NSSM 11.1 (9.3–13.4) 125.0 (95.2–164.0) 17.5 (16.4–18.8) 234.7 (214.0–257.5) 0.75 (0.62–0.92) <0.001 0.60 (0.44–0.80 0.001 NSSM: Non-skin solid malignancy. *Per 1000 person-year.
Figure 1
Conclusions
Incidence of malignancy post-HT is higher in men than in women specially for skin cancer and de novo solid tumors. The relative weight of cancer as a cause of death was also higher in men than in women, furthermore, this could have impact prognosis in HT survivors.
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P6448Major cardiovascular events free survival in the long term follow up of “real world” diabetic patients with stable coronary artery disease at the beginning of the 21st century. The CICCOR Registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.1041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Safety trials of antidiabetic drugs have included a main endpoint of cardiovascular morbidity and mortality. However, “real world” data on long term prognosis of diabetic patients with stable coronary artery disease (sCAD) are limited. This study aimed to assess long-term incidence of major cardiovascular events in this population and to identify clinical predictors of this end-point.
Methods
The CICCOR registry is a prospective, monocentric, cohort study. From February 1, 2000 to January 31, 2004, all consecutive patients with sCAD attended at two outpatient cardiology clinics in a city of the south of Spain were included in the study and prospectively followed. Patients with type 2 diabetes mellitus were selected for this analysis. None of these patients received sodium-glucose cotransporter-2 inhibitors at first visit, as they were not commercially available at that time. Survival free of major cardiovascular events (combined end-point: acute myocardial infarction, stroke, or cardiovascular death) and variables associated with this end-point were investigated.
Results
The study sample included 394 patients (mean age 68±9 years, 61% male). After up to 17 years of follow-up (median 9 years, IQR 4–14 years, only 2 patients lost in follow-up, with a total of 3517 patients-years of observation), 66 had an acute myocardial infarction, 55 had an stroke and 165 died for cardiovascular causes. Survival free of major cardiovascular events was 88%, 70%, 57%, 47% and 32% at 3, 6, 9, 12 and 15 years. Multivariate predictors of the combined end-point are shown in the table.
Predictors of major cardiovascular event Variable Hazard Ratio (95% CI) p value Age (year) 1.06 (1.04–1.08) <0.0005 Tobacco use 0.02 Never smoker 1 (reference) Ex-smoker 1.43 (1.02–1.99) 0.04 Active smoker 2.23 (1.16–4.30) 0.02 Functional Class ≥II (angina) 1.57 (1.14–2.16) 0.006 Resting heart rate (10 bpm increase) 1.12 (1.01–1.24) 0.04 Diuretic treatment at first visit 1.71 (1.26–2.30) 0.001
Conclusions
Probability of major event-free survival was only 47% at 12 years in this “real world” cohort of diabetic patients with sCAD followed in the first 17 years of this century in a single center in the south of Spain. Simple clinical variables can identify patients at higher risk of events.
Acknowledgement/Funding
This work has been partially financed by an investigational grant by Boehringher Ingelheim
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P4217Ruling out acute cellular rejection in heart transplant recipients by classic and emergent echocardiographic factors: a multivariate, prospective, monocentric study. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy563.p4217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Long term survival in elderly patients with stable coronary disease. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht309.p4012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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