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Sökning: WFRF:(Spaak Jonas) > Erlinge David

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1.
  • Batra, Gorav, et al. (författare)
  • Angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers are associated with improved outcome but do not prevent new-onset atrial fibrillation after acute myocardial infarction
  • 2017
  • Ingår i: Journal of the American Heart Association. - 2047-9980. ; 6:3
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Treatment with renin‐angiotensin system (RAS) inhibitors might restrain the structural/electrical remodeling associated with atrial fibrillation (AF). Limited evidence exists regarding the potential benefits of RAS inhibition post‐acute myocardial infarction (AMI) in patients with AF. This study sought to assess the association between RAS inhibition and all‐cause mortality and new‐onset AF in patients with/without congestive heart failure (CHF) post‐AMI.Methods and Results Patients hospitalized for AMI between 2006 and 2012 were identified in Swedish registries. Patients were stratified in 4 subgroups; patients with CHF and AF (n=11 489); patients with CHF without AF (n=31 676); patients with AF without CHF (n=10 066); and patients without both CHF and AF (n=59 417). Patients exposed to RAS inhibition were compared to nontreated. Three‐year risk of all‐cause mortality and new‐onset AF was assessed using adjusted Cox regression analyses. At discharge, 83 291 (73.9%) patients received RAS inhibition. RAS inhibition was associated with lower 3‐year risk of all‐cause mortality in CHF patients with AF, adjusted hazard ratio (HR) with 95% CI 0.75 (0.70–0.81), CHF patients without AF, HR 0.65 (0.60–0.69), AF patients without CHF, HR 0.82 (0.75–0.90), and in patients without CHF and AF, HR 0.76 (0.72–0.81), respectively. RAS inhibition was not associated with lower 3‐year risk of new‐onset AF in patients without AF but with/without CHF; HR 0.96 (0.84–1.10) and 1.12 (1.02–1.22), respectively.Conclusions RAS inhibition post‐AMI was associated with lower risk of all‐cause mortality. In patients with/without CHF, RAS inhibition was not associated with lower incidence of new‐onset AF.
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2.
  • Desta, Liyew, et al. (författare)
  • Adherence to beta-blockers and long-term risk of heart failure and mortality after a myocardial infarction
  • 2021
  • Ingår i: ESC Heart Failure. - : Wiley. - 2055-5822. ; 8:1, s. 344-355
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: The aim of this study is to investigate the association between adherence to beta-blocker treatment after a first acute myocardial infarction (AMI) and long-term risk of heart failure (HF) and death. Methods and results: All patients admitted for a first AMI included in the nationwide Swedish web-system for enhancement and development of evidence-based care in heart disease evaluated according to recommended therapies register between 2005 and 2010 were eligible (n = 71 638). After exclusion of patients who died in-hospital, patients with previous HF, patients with unknown left ventricular ejection fraction (EF), and patients who died during the first year after the index event, 38 608 patients remained in the final analysis. Adherence to prescribed beta-blockers was determined for 1 year after the index event using the national registry for prescribed drugs and was measured as proportion of days covered, the ratio between the numbers of days covered by the dispensed prescriptions and number of days in the period. As customary, a threshold level for proportion of days covered ≥80% was used to classify patients as adherent or non-adherent. At discharge 90.6% (n = 36 869) of all patients were prescribed a beta-blocker. Among 38 608 1 year survivors, 31.1% (n = 12 013) were non-adherent to beta-blockers. Patients with reduced EF without HF and patients with HF with reduced EF were more likely to remain adherent to beta-blockers at 1 year compared with patients with normal EF (NEF) without HF. Being married/cohabiting and having higher income level, hypertension, ST-elevation MI, and percutaneous coronary intervention were associated with better adherence. Adherence was independently associated with lower all-cause mortality [hazard ratio (HR) 0.77, 95% confidence interval [CI] 0.71–0.84] and a lower risk for the composite of HF readmission/death, (HR 0.83, 95% CI 0.78–0.89, P value <0.001) during the subsequent 4 years of follow up. These associations were favourable but less apparent in patients with HFNEF and NEF. Conclusions: Nearly one in three AMI patients was non-adherent to beta-blockers within the first year. Adherence was independently associated with improved long-term outcomes; however, uncertainty remains for patients with HFNEF and NEF.
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3.
  • Eggers, Kai M., 1962-, et al. (författare)
  • Predicting outcome in acute myocardial infarction : an analysis investigating 175 circulating biomarkers
  • 2021
  • Ingår i: European Heart Journal. - : Oxford University Press. - 2048-8726 .- 2048-8734. ; 10:7, s. 806-812
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims There is a paucity of studies comprehensively comparing the prognostic value of larger arrays of biomarkers indicative of different pathobiological axes in acute myocardial infarction (MI).Methods and results In this explorative investigation, we simultaneously analysed 175 circulating biomarkers reflecting different inflammatory traits, coagulation activity, endothelial dysfunction, atherogenesis, myocardial dysfunction and damage, apoptosis, kidney function, glucose-, and lipid metabolism. Measurements were performed in samples from 1099 MI patients (SWEDEHEART registry) applying two newer multimarker panels [Proximity Extension Assay (Olink Bioscience), Multiple Reaction Monitoring mass spectrometry]. The prognostic value of biomarkers regarding all-cause mortality, recurrent MI, and heart failure hospitalizations (median follow-up <= 6.6years) was studied using Lasso analysis, a penalized logistic regression model that considers all biomarkers simultaneously while minimizing the risk for spurious findings. Tumour necrosis factor-related apoptosis-inducing ligand receptor 2 (TRAIL-R2), ovarian cancer-related tumour marker CA 125 (CA-125), and fibroblast growth factor 23 (FGF-23) consistently predicted all-cause mortality in crude and age/sex-adjusted analyses. Growth-differentiation factor 15 (GDF-15) was strongly predictive in the crude model. TRAIL-R2 and B-type natriuretic peptide (BNP) consistently predicted heart failure hospitalizations. No biomarker predicted recurrent MI. The prognostic value of all biomarkers was abrogated following additional adjustment for clinical variables owing to our rigorous statistical approach.Conclusion Apart from biomarkers with established prognostic value (i.e. BNP and to some extent GDF-15), several 'novel' biomarkers (i.e. TRAIL-R2, CA-125, FGF-23) emerged as risk predictors in patients with MI. Our data warrant further investigation regarding the utility of these biomarkers for clinical decision-making in acute MI.
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4.
  • Eggers, Kai M., 1962-, et al. (författare)
  • Sex-differences in circulating biomarkers during acute myocardial infarction : An analysis from the SWEDEHEART registry
  • 2021
  • Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 16:4 April
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Sex-differences in the pathobiology of myocardial infarction are well established but incompletely understood. Improved knowledge on this topic may help clinicians to improve management of men and women with myocardial infarction. Methods In this registry-based cohort study (SWEDEHEART), we analyzed 175 circulating biomarkers reflecting various pathobiological axes in 856 men and 243 women admitted to Swedish coronary care units because of myocardial infarction. Two multimarker panels were applied (Proximity Extension Assay [Olink Bioscience], Multiple Reaction Monitoring mass spectrometry). Lasso analysis (penalized logistic regression), multiple testing-corrected Mann- Whitney tests and Cox regressions were used to assess sex-differences in the concentrations of these biomarkers and their implications on all-cause mortality and major adverse events (median follow-up up to 6.6 years). Results Biomarkers provided a very high discrimination between both sexes, when considered simultaneously (c-statistics 0.972). Compared to women, men had higher concentrations of six biomarkers with the most pronounced differences seen for those reflecting atherogenesis, myocardial necrosis and metabolism. Women had higher concentrations of 14 biomarkers with the most pronounced differences seen for those reflecting activation of the reninangiotensin- aldosterone axis, inflammation and for adipokines. There were no major variations between sexes in the associations of these biomarkers with outcome. Conclusions Severable sex-differences exist in the expression of biomarkers in patients with myocardial infarction. While these differences had no impact on outcome, our data suggest the presence of various sex-related pathways involved in the development of coronary atherosclerosis, the progression to plaque rupture and acute myocardial damage, with a greater heterogeneity in women.
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5.
  • Hjort, Marcus, et al. (författare)
  • Differences in biomarker concentrations and predictions of long-term outcome in patients with ST-elevation and non-ST-elevation myocardial infarction
  • 2021
  • Ingår i: Clinical Biochemistry. - : Elsevier BV. - 0009-9120 .- 1873-2933. ; 42, s. 1268-1268
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Differences in biomarkers reflective of pathobiology and prognosis between ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) are incompletely understood and may offer insights for tailoring of treatment. Methods: This registry-based study included 538 STEMI and 544 NSTEMI patients admitted 2008–2014. Blood samples were collected day 1–3 after admission and 175 biomarkers were analyzed using Proximity Extension Assay and Multiple Reaction Monitoring mass spectrometry. Adjusted Lasso analysis (penalized logistic regression model) was used to select biomarkers that discriminated STEMI from NSTEMI patients. Biomarkers identified by the Lasso analysis were then evaluated in adjusted Cox regressions for associations with death or major adverse cardiovascular events. Results: Biomarkers strongly discriminated STEMI and NSTEMI when considered simultaneously in adjusted Lasso analysis (c-statistic 0.764). Eleven biomarkers independently discriminated STEMI and NSTEMI; seven showing higher concentrations in STEMI: myoglobin, N-terminal pro-B-type natriuretic peptide, serum amyloid A-1 and A-2 protein, ST2 protein, interleukin-6 and chitinase-3-like protein 1; and four showing higher concentrations in NSTEMI: fibroblast growth factor 23, membrane-bound aminopeptidase P, tumor necrosis factor-related activation-induced cytokine and apolipoprotein C-I. During up to 6.6 years of prognostic follow-up, none of these biomarkers exhibited different associations with adverse outcome between STEMI and NSTEMI. Conclusions: In the acute setting, biomarkers indicated greater myocardial dysfunction and inflammation in STEMI, whereas they displayed a more diverse pathophysiologic pattern in NSTEMI patients. These biomarkers were similarly prognostic in STEMI and NSTEMI patients. The results do not support treating STEMI and NSTEMI patients differently based on the concentrations of these biomarkers.
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6.
  • Khedri, Masih, et al. (författare)
  • Statin Treatment Intensity, Discontinuation, and Long-Term Outcome in Patients With Acute Myocardial Infarction and Impaired Kidney Function
  • 2023
  • Ingår i: Journal of Cardiovascular Pharmacology. - : Wolters Kluwer. - 0160-2446 .- 1533-4023. ; 81:6, s. 400-410
  • Tidskriftsartikel (refereegranskat)abstract
    • Statin dosage in patients with acute myocardial infarction (AMI) and concomitant kidney dysfunction is a clinical dilemma. We studied discontinuation during the first year after an AMI and long-term outcome in patients receiving high versus low–moderate intensity statin treatment, in relation to kidney function. For the intention-to-treat analysis (ITT-A), we included all patients admitted to Swedish coronary care units for a first AMI between 2005 and 2016 that survived in-hospital, had known creatinine, and initiated statin therapy (N = 112,727). High intensity was initiated in 38.7% and low–moderate in 61.3%. In patients with estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2, 25% discontinued treatment the first year; however, the discontinuation rate was similar regardless of the statin intensity. After excluding patients who died, changed therapy, or were nonadherent during the first year, 84,705 remained for the on-treatment analysis (OT-A). Patients were followed for 12.6 (median 5.6) years. In patients with eGFR 30–59 mL/min, high-intensity statin was associated with lower risk for the composite death, reinfarction, or stroke both in ITT-A (hazard ratio [HR] 0.93; 95% confidence interval, 0.87–0.99) and OT-A (HR 0.90; 0.83–0.99); the interaction test for OT-A indicated no heterogeneity for the eGFR < 60 mL/min group (P = 0.46). Similar associations were seen for all-cause mortality. We confirm that high-intensity statin treatment is associated with improved long-term outcome after AMI in patients with reduced kidney function. Most patients with reduced kidney function initiated on high-intensity statins are persistent after 1 year and equally persistent as patients initiated on low–moderate intensity.
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7.
  • Lenell, Joel, et al. (författare)
  • Global longitudinal strain in long-term risk prediction after acute coronary syndrome : an investigation of added prognostic value to ejection fraction
  • 2024
  • Ingår i: Clinical Research in Cardiology. - 1861-0684. ; 113:7
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: This study aimed to investigate the additional value of global longitudinal strain (GLS) on top of left ventricular ejection fraction (LVEF) in long-term risk prediction of combined death and heart failure (HF) re-hospitalization after acute coronary syndrome (ACS). Method and results: This retrospective study included patients admitted with ACS between 2008 and 2014 from the three participating university hospitals. LVEF and GLS were assessed at a core lab from images acquired during the index hospital stay. Their prognostic value was studied with the Cox proportional hazards model (median follow-up 6.2 years). A nested model comparison was performed with C-statistics. A total of 941 patients qualified for multivariable analysis after multiple imputation of missing baseline covariables. The combined outcome was reached in 17.7% of the cases. Both GLS and LVEF were independent predictors of the combined outcome, hazard ratio (HR) 1.068 (95% CI 1.017–1.121) and HR 0.980 (95% CI 0.962–0.998), respectively. The C-statistic increased from 0.742 (95% CI 0.702–0.783) to 0.749 (95% CI 0.709–0.789) (P = 0.693) when GLS entered the model with clinical data and LVEF. Conclusion: GLS emerged as an independent long-term risk predictor of all-cause death and HF re-hospitalization. However, there was no significant incremental predictive value of GLS when LVEF was already known. Graphical Abstract: (Figure presented.)
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8.
  • Lenell, Joel, et al. (författare)
  • Reliability of estimating left ventricular ejection fraction in clinical routine : a validation study of the SWEDEHEART registry.
  • 2023
  • Ingår i: Clinical Research in Cardiology. - : Springer. - 1861-0684 .- 1861-0692. ; 112, s. 68-74
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: Patients hospitalized with acute coronary syndrome (ACS) in Sweden routinely undergo an echocardiographic examination with assessment of left ventricular ejection fraction (LVEF). LVEF is a measurement widely used for outcome prediction and treatment guidance. The obtained LVEF is categorized as normal (> 50%) or mildly, moderately, or severely impaired (40-49, 30-39, and < 30%, respectively) and reported to the nationwide registry for ACS (SWEDEHEART). The purpose of this study was to determine the reliability of the reported LVEF values by validating them against an independent re-evaluation of LVEF.METHODS: A random sample of 130 patients from three hospitals were included. LVEF re-evaluation was performed by two independent reviewers using the modified biplane Simpson method and their mean LVEF was compared to the LVEF reported to SWEDEHEART. Agreement between reported and re-evaluated LVEF was assessed using Gwet's AC2 statistics.RESULTS: Analysis showed good agreement between reported and re-evaluated LVEF (AC2: 0.76 [95% CI 0.69-0.84]). The LVEF re-evaluations were in agreement with the registry reported LVEF categorization in 86 (66.0%) of the cases. In 33 (25.4%) of the cases the SWEDEHEART-reported LVEF was lower than re-evaluated LVEF. The opposite relation was found in 11 (8.5%) of the cases (p < 0.005).CONCLUSION: Independent validation of SWEDEHEART-reported LVEF shows an overall good agreement with the re-evaluated LVEF. However, a tendency towards underestimation of LVEF was observed, with the largest discrepancy between re-evaluated LVEF and registry LVEF in subjects with subnormal LV-function in whom the reported assessment of LVEF should be interpreted more cautiously.
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9.
  • Mohammad, Moman A., et al. (författare)
  • Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction : a nationwide population-based study
  • 2022
  • Ingår i: The Lancet Digital Health. - : Elsevier. - 2589-7500. ; 4:1, s. 37-45
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Patients have an estimated mortality of 15–20% within the first year following myocardial infarction and one in four patients who survive myocardial infarction will develop heart failure, severely reducing quality of life and increasing the risk of long-term mortality. We aimed to establish the accuracy of an artificial neural network (ANN) algorithm in predicting 1-year mortality and admission to hospital for heart failure after myocardial infarction. Methods: In this nationwide population-based study, we used data for all patients admitted to hospital for myocardial infarction and discharged alive from a coronary care unit in Sweden (n=139 288) between Jan 1, 2008, and April 1, 2017, from the Swedish Web system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) nationwide registry; these patients were randomly divided into training (80%) and testing (20%) datasets. We developed an ANN using 21 variables (including age, sex, medical history, previous medications, in-hospital characteristics, and discharge medications) associated with the outcomes of interest with a back-propagation algorithm in the training dataset and tested it in the testing dataset. The ANN algorithm was then validated in patients with incident myocardial infarction enrolled in the Western Denmark Heart Registry (external validation cohort) between Jan 1, 2008, and Dec 31, 2016. The predictive ability of the model was evaluated using area under the receiver operating characteristic curve (AUROC) and Youden's index was established as a means of identifying an empirical dichotomous cutoff, allowing further evaluation of model performance. Findings: 139 288 patients who were admitted to hospital for myocardial infarction in the SWEDEHEART registry were randomly divided into a training dataset of 111 558 (80%) patients and a testing dataset of 27 730 (20%) patients. 30 971 patients with myocardial infarction who were enrolled in the Western Denmark Heart Registry were included in the external validation cohort. A first event, either all-cause mortality or admission to hospital for heart failure 1 year after myocardial infarction, occurred in 32 308 (23·2%) patients in the testing and training cohorts only. For 1-year all-cause mortality, the ANN had an AUROC of 0·85 (95% CI 0·84–0·85) in the testing dataset and 0·84 (0·83–0·84) in the external validation cohort. The AUROC for admission to hospital for heart failure within 1 year was 0·82 (0·81–0·82) in the testing dataset and 0·78 (0·77–0·79) in the external validation dataset. With an empirical cutoff the ANN algorithm correctly classified 73·6% of patients with regard to all-cause mortality and 61·5% of patients with regard to admission to hospital for heart failure in the external validation cohort, ruling out adverse outcomes with 97·1–98·7% probability in the external validation cohort. Interpretation: Identifying patients at a high risk of developing heart failure or death after myocardial infarction could result in tailored therapies and monitoring by the allocation of resources to those at greatest risk. Funding: The Swedish Heart and Lung Foundation, Swedish Scientific Research Council, Swedish Foundation for Strategic Research, Knut and Alice Wallenberg Foundation, ALF Agreement on Medical Education and Research, Skane University Hospital, The Bundy Academy, the Märta Winkler Foundation, the Anna-Lisa and Sven-Eric Lundgren Foundation for Medical Research.
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10.
  • Mohammad, Moman A., et al. (författare)
  • Intravenous beta-blocker therapy in ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention is not associated with benefit regarding short-term mortality : a Swedish nationwide observational study
  • 2017
  • Ingår i: EuroIntervention. - : Europa Edition. - 1774-024X .- 1969-6213. ; 13:2, s. E210-E218
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: Our aim was to investigate the impact of intravenous (IV) beta-blocker therapy on short-term mortality and other in-hospital events in patients with ST-segment elevation myocardial infarction (STEMI) treated with dual antiplatelet therapy (DAPT) and primary percutaneous coronary intervention (PCI).Methods and results: Using the nationwide Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) registry, we identified all patients with STEMI undergoing PCI between 2006 and 2013. Patients with cardiogenic shock and cardiac arrest at presentation were excluded. The primary endpoint was mortality within 30 days. Secondary endpoints were in-hospital events (mortality, cardiogenic shock and left ventricular ejection fraction [LVEF] <40% at discharge). We adjusted for confounders with a multivariable model and propensity score matching. Out of 16,909 patients, 2,876 (17.0%) were treated with an IV beta-blocker. After adjusting for confounders, the IV beta-blocker group had higher 30-day all-cause mortality (HR: 1.44, 95% CI: 1.14-1.83), more in-hospital cardiogenic shock (OR: 1.53, 95% CI: 1.09-2.16) and were more often discharged with an LVEF <40% (OR: 1.70, 95% CI: 1.51-1.92).Conclusions: In this large nationwide observational study, the use of IV beta-blockers in patients with STEMI treated with primary PCI was associated with higher short-term mortality, lower LVEF at discharge, as well as a higher risk of in-hospital cardiogenic shock.
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