Assessment of cost effectiveness of several strategies of early diagnosis in patients with acute chest pain and non-conclusive electrocardiogram: The Iranian experience

2001 ◽  
Vol 33 (6) ◽  
pp. A121 ◽  
Author(s):  
Ali Akbar Tavassoli ◽  
S. Behrad-Manesh ◽  
H. Dehgan ◽  
Nizal Sarraf-Zadegan ◽  
Sadeghi Massomeh
2002 ◽  
Vol 35 (8) ◽  
pp. 647-653 ◽  
Author(s):  
Karri Penttilä ◽  
Heli Koukkunen ◽  
Matti Halinen ◽  
Tapio Rantanen ◽  
Kalevi Pyörälä ◽  
...  

2008 ◽  
Vol 191 (2) ◽  
pp. 455-463 ◽  
Author(s):  
Joseph A. Ladapo ◽  
Udo Hoffmann ◽  
Fabian Bamberg ◽  
John T. Nagurney ◽  
David M. Cutler ◽  
...  

2010 ◽  
Vol 74 (7) ◽  
pp. 1424-1430 ◽  
Author(s):  
Hyukchan Kwon ◽  
Kiwoong Kim ◽  
Yong-Ho Lee ◽  
Jin-Mok Kim ◽  
Kwon Kyu Yu ◽  
...  

2012 ◽  
Vol 58 (2) ◽  
pp. 441-449 ◽  
Author(s):  
Nora Schaub ◽  
Tobias Reichlin ◽  
Raphael Twerenbold ◽  
Miriam Reiter ◽  
Stephan Steuer ◽  
...  

Abstract BACKGROUND Growth differentiation factor-15 (GDF-15) is a stress-responsive marker that might aid in the early diagnosis and risk stratification of patients with suspected acute myocardial infarction (AMI). METHODS In a prospective, international multicenter study, GDF-15, high-sensitivity cardiac troponin T (hs-cTnT), and B-type natriuretic peptide (BNP) were measured in 646 unselected patients presenting to the emergency department with acute chest pain. The final diagnosis was adjudicated by 2 independent cardiologists. The primary prognostic end point was all-cause mortality during a median follow-up of 26 months. RESULTS AMI was the adjudicated final diagnosis in 115 patients (18%). GDF-15 concentrations at presentation were significantly higher in AMI patients compared to patients with other diagnoses. The diagnostic accuracy of GDF-15 at presentation for the diagnosis of AMI as quantified by the area under the ROC curve (AUC) was lower (AUC 0.69, 95% CI 0.64–0.74) compared to hs-cTnT (AUC 0.96, 95% CI 0.94–0.98, P < 0.001) and BNP (AUC 0.74, 95% CI 0.69–0.80, P = 0.02). A total of 55 deaths occurred during follow-up. GDF-15 predicted all-cause mortality independently of and more accurately than hs-cTnT [AUC 0.85 (95% CI 0.81–0.90) vs 0.77 (95% CI 0.72–0.83), P = 0.002] and BNP (AUC 0.75, 95% CI 0.68–0.82, P = 0.007). Net reclassification improvement was 0.15 (P = 0.01), and the absolute integrated discrimination improvement was 0.07, yielding a relative integrated discrimination improvement of 0.36 (P = 0.07). CONCLUSIONS GDF-15 predicts all-cause mortality in unselected patients with acute chest pain independently of and more accurately than hs-cTnT and BNP. However, GDF-15 does not seem to help in the early diagnosis of AMI.


2011 ◽  
Vol 124 (5) ◽  
pp. 444-452 ◽  
Author(s):  
Philip Haaf ◽  
Tobias Reichlin ◽  
Nils Corson ◽  
Raphael Twerenbold ◽  
Miriam Reiter ◽  
...  

2015 ◽  
Vol 19 (44) ◽  
pp. 1-234 ◽  
Author(s):  
Marie Westwood ◽  
Thea van Asselt ◽  
Bram Ramaekers ◽  
Penny Whiting ◽  
Praveen Thokala ◽  
...  

BackgroundEarly diagnosis of acute myocardial infarction (AMI) can ensure quick and effective treatment but only 20% of adults with emergency admissions for chest pain have an AMI. High-sensitivity cardiac troponin (hs-cTn) assays may allow rapid rule-out of AMI and avoidance of unnecessary hospital admissions and anxiety.ObjectiveTo assess the clinical effectiveness and cost-effectiveness of hs-cTn assays for the early (within 4 hours of presentation) rule-out of AMI in adults with acute chest pain.MethodsSixteen databases, including MEDLINE and EMBASE, research registers and conference proceedings, were searched to October 2013. Study quality was assessed using QUADAS-2. The bivariate model was used to estimate summary sensitivity and specificity for meta-analyses involving four or more studies, otherwise random-effects logistic regression was used. The health-economic analysis considered the long-term costs and quality-adjusted life-years (QALYs) associated with different troponin (Tn) testing methods. The de novo model consisted of a decision tree and Markov model. A lifetime time horizon (60 years) was used.ResultsEighteen studies were included in the clinical effectiveness review. The optimum strategy, based on the Roche assay, used a limit of blank (LoB) threshold in a presentation sample to rule out AMI [negative likelihood ratio (LR–) 0.10, 95% confidence interval (CI) 0.05 to 0.18]. Patients testing positive could then have a further test at 2 hours; a result above the 99th centile on either sample and a delta (Δ) of ≥ 20% has some potential for ruling in an AMI [positive likelihood ratio (LR+) 8.42, 95% CI 6.11 to 11.60], whereas a result below the 99th centile on both samples and a Δ of < 20% can be used to rule out an AMI (LR– 0.04, 95% CI 0.02 to 0.10). The optimum strategy, based on the Abbott assay, used a limit of detection (LoD) threshold in a presentation sample to rule out AMI (LR– 0.01, 95% CI 0.00 to 0.08). Patients testing positive could then have a further test at 3 hours; a result above the 99th centile on this sample has some potential for ruling in an AMI (LR+ 10.16, 95% CI 8.38 to 12.31), whereas a result below the 99th centile can be used to rule out an AMI (LR– 0.02, 95% CI 0.01 to 0.05). In the base-case analysis, standard Tn testing was both most effective and most costly. Strategies considered cost-effective depending upon incremental cost-effectiveness ratio thresholds were Abbott 99th centile (thresholds of < £6597), Beckman 99th centile (thresholds between £6597 and £30,042), Abbott optimal strategy (LoD threshold at presentation, followed by 99th centile threshold at 3 hours) (thresholds between £30,042 and £103,194) and the standard Tn test (thresholds over £103,194). The Roche 99th centile and the Roche optimal strategy [LoB threshold at presentation followed by 99th centile threshold and/or Δ20% (compared with presentation test) at 1–3 hours] were extendedly dominated in this analysis.ConclusionsThere is some evidence to suggest that hs-CTn testing may provide an effective and cost-effective approach to early rule-out of AMI. Further research is needed to clarify optimal diagnostic thresholds and testing strategies.Study registrationThis study is registered as PROSPERO CRD42013005939.FundingThe National Institute for Health Research Health Technology Assessment programme.


2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
R.A.P. Takx ◽  
J.L. Wichmann ◽  
K. Otani ◽  
C. Tesche ◽  
S. Baumann ◽  
...  

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