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- D'Ascenzo, Fabrizio, et al.
(author)
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Incidence and predictors of coronary stent thrombosis : Evidence from an international collaborative meta-analysis including 30 studies, 221,066 patients, and 4276 thromboses
- 2013
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In: International Journal of Cardiology. - : Elsevier BV. - 0167-5273 .- 1874-1754. ; 167:2, s. 575-584
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Journal article (peer-reviewed)abstract
- BACKGROUND:Stent thrombosis remains among the most feared complications of percutaneous coronary intervention (PCI) with stenting. However, data on its incidence and predictors are sparse and conflicting. We thus aimed to perform a collaborative systematic review on incidence and predictors of stent thrombosis.METHODS: PubMed was systematically searched for eligible studies from the drug-eluting stent (DES) era (1/2002-12/2010). Studies were selected if including ≥2000 patients undergoing stenting or reporting on ≥25 thromboses. Study features, patient characteristics, and incidence of stent thrombosis were abstracted and pooled, when appropriate, with random-effect methods (point estimate [95% confidence intervals]), and consistency of predictors was formally appraised.RESULTS:A total of 30 studies were identified (221,066 patients, 4276 thromboses), with DES used in 87%. After a median of 22months, definite, probable, or possible stent thrombosis had occurred in 2.4% (2.0%; 2.9%), with acute in 0.4% (0.2%; 0.6%), subacute in 1.1% (1.0%; 1.3%), late in 0.5% (0.4%; 0.6%), and very late in 0.6% (0.4%; 0.8%). Similar figures were computed for studies reporting only on DES. From a total of 47 candidate variables, definite/probable stent thrombosis was more commonly and consistently predicted by early antiplatelet therapy discontinuation, extent of coronary disease, and stent number/length, with acute coronary syndrome at admission, diabetes, smoking status, and bifurcation/ostial disease also proving frequent predictors, but less consistently.CONCLUSIONS:Despite numerous possible risk factors, the most common and consistent predictors of stent thrombosis are early antiplatelet therapy discontinuation, extent of coronary disease, and stent number/length.
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- Lipinski, Michael J., et al.
(author)
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A Systematic Review and Collaborative Meta-Analysis to Determine the Incremental Value of Copeptin for Rapid Rule-Out of Acute Myocardial Infarction
- 2014
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In: American Journal of Cardiology. - : Elsevier BV. - 0002-9149 .- 1879-1913. ; 113:9, s. 1581-1591
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Journal article (peer-reviewed)abstract
- Multiple studies have evaluated copeptin, a surrogate for arginine vasopressin, in the diagnosis of acute myocardial infarction (AMI) with mixed results. A systematic review and collaborative meta-analysis were performed for diagnosis of AMI and assessment of prognosis in patients presenting to the emergency department with chest pain. MEDLINE/PubMed, Cochrane CENTRAL, and EMBASE were searched for studies assessing copeptin in such patients. Study investigators were contacted, and many provided previously unpublished data. Random-effects methods were used to compare the data for copeptin, troponin, and their combination. There were a total of 9,244 patients from the 14 included studies. Mean age was 62 years; 64% were men; and 18.4% were ultimately diagnosed with AMI. Patients with AMI had a higher presentation copeptin level than those without AMI (22.8 vs 8.3 pmol/L, respectively, p <0.001). Although troponin had better diagnostic accuracy than copeptin for AMI, the combination of copeptin and troponin significantly improved the sensitivity (0.905 [0.888 to 0.921] vs 0.686 [0.661 to 0.710], respectively, p <0.001) and negative predictive value (0.97 [0.964 to 0.975] vs 0.93 [0.924 to 0.936], respectively, p <0.001) compared with troponin alone. Elevation in copeptin carried a similar risk of all-cause mortality to an elevation in troponin (odds ratio 5.84 vs 6.74, respectively, p = 0.67). In conclusion, copeptin not only identifies patients at risk of all-cause mortality, but its addition to troponin improved the sensitivity and negative likelihood ratio for diagnosis of AMI compared with troponin alone. Thus, copeptin may help identify patients who may be safely discharged early from the emergency department.
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- Raposeiras-Roubin, Sergio, et al.
(author)
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Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome : The BleeMACS score
- 2018
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In: International Journal of Cardiology. - : ELSEVIER IRELAND LTD. - 0167-5273 .- 1874-1754. ; 254, s. 10-15
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Journal article (peer-reviewed)abstract
- Background: Accurate 1-year bleeding risk estimation after hospital discharge for acute coronary syndrome(ACS) may help clinicians guide the type and duration of antithrombotic therapy. Currently there are no predictive models for this purpose. The aim of this study was to derive and validate a simple clinical tool for bedside risk estimation of 1-year post-discharge serious bleeding in ACS patients.Methods: The risk score was derived and internally validated in the BleeMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) registry, an observational international registry involving 15,401 patients surviving admission for ACS and undergoing percutaneous coronary intervention (PCI) from 2003 to 2014, engaging 15 hospitals from 10 countries located in America, Europe and Asia. External validation was conducted in the SWEDEHEART population, with 96,239 ACS patients underwent PCI and 93,150 without PCI.Results: Seven independent predictors of bleeding were identified and included in the BleeMACS score: age, hypertension, vascular disease, history of bleeding, malignancy, creatinine and hemoglobin. The BleeMACS risk score exhibited a C-statistic value of 0.71 (95% CI 0.68-0.74) in the derivation cohort and 0.72 (95% CI 0.67-0.76) in the internal validation sample. In the SWEDEHEART external validation cohort, the C-statistic was 0.65 (95% CI 0.64-0.66) for PCI patients and 0.63 (95% CI 0.62-0.64) for non-PCI patients. The calibration was excellent in the derivation and validation cohorts.Conclusions: The BleeMACS bleeding risk score is a simple tool useful for identifying those ACS patients at higher risk of serious 1-year post-discharge bleeding.
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