Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\23331845
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Health+Technol+Assess
2013 ; 17
(1
): v-vi, 1-188
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Systematic review, meta-analysis and economic modelling of diagnostic strategies
for suspected acute coronary syndrome
#MMPMID23331845
Goodacre S
; Thokala P
; Carroll C
; Stevens JW
; Leaviss J
; Al Khalaf M
; Collinson P
; Morris F
; Evans P
; Wang J
Health Technol Assess
2013[]; 17
(1
): v-vi, 1-188
PMID23331845
show ga
BACKGROUND: Current practice for suspected acute coronary syndrome (ACS) involves
troponin testing 10-12 hours after symptom onset to diagnose myocardial
infarction (MI). Patients with a negative troponin can be investigated further
with computed tomographic coronary angiography (CTCA) or exercise
electrocardiography (ECG). OBJECTIVES: We aimed to estimate the diagnostic
accuracy of early biomarkers for MI, the prognostic accuracy of biomarkers for
major adverse cardiac adverse events (MACEs) in troponin-negative patients, the
diagnostic accuracy of CTCA and exercise ECG for coronary artery disease (CAD)
and the prognostic accuracy of CTCA and exercise ECG for MACEs in patients with
suspected ACS. We then aimed to estimate the cost-effectiveness of using
alternative biomarker strategies to diagnose MI, and using biomarkers, CTCA and
exercise ECG to risk-stratify troponin-negative patients. DATA SOURCES: We
searched MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations; Cumulative
Index of Nursing and Allied Health Literature (CINAHL), EMBASE, Web of Science,
Cochrane Central Database of Controlled Trials (CENTRAL), Cochrane Database of
Systematic Reviews (CDSR), NHS Database of Abstracts of Reviews of Effects (DARE)
and the Health Technology Assessment database from 1985 (CTCA review) or 1995
(biomarkers review) to November 2010, reviewed citation lists and contacted
experts to identify relevant studies. REVIEW METHODS: Diagnostic studies were
assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)
tool and prognostic studies using a framework adapted for the project.
Meta-analysis was conducted using bayesian Markov chain Monte Carlo simulation.
We developed a decision-analysis model to evaluate the cost-effectiveness of
alternative biomarker strategies to diagnose MI, and the cost-effectiveness of
biomarkers, CTCA or exercise ECG to risk-stratify patients with a negative
troponin. Strategies were applied to a theoretical cohort of patients with
suspected ACS. Cost-effectiveness was estimated as the incremental cost per
quality-adjusted life-year (QALY) of each strategy compared with the next most
effective, taking a health-service perspective and a lifetime horizon. RESULTS:
Sensitivity and specificity (95% predictive interval) were 77% (29-96%) and 93%
(46-100%) for troponin I, 80% (33-97%) and 91% (53-99%) for troponin T (99th
percentile threshold), 81% (50-95%) and 80% (26-98%) for quantitative heart-type
fatty acid-binding protein (H-FABP), 68% (11-97%) and 92% (20-100%) for
qualitative H-FABP, 77% (19-98%) and 39% (2-95%) for ischaemia-modified albumin
and 62% (35-83%) and 83% (35-98%) for myoglobin. CTCA had 94% (61-99%)
sensitivity and 87% (16-100%) specificity for CAD. Positive CTCA and
positive-exercise ECG had relative risks of 5.8 (0.6-24.5) and 8.0 (2.3-22.7) for
MACEs. In most scenarios in the economic analysis presentation, high-sensitivity
troponin measurement was the most effective strategy with an incremental
cost-effectiveness ratio (ICER) of less than the £20,000-30,000/QALY threshold
(ICER £7487-17,191/QALY). CTCA appeared to be the most cost-effective strategy
for patients with a negative troponin, with an ICER of £11,041/QALY. However,
when a lower MACE rate was assumed, CTCA had a high ICER (£262,061/QALY) and the
no-testing strategy was optimal. LIMITATIONS: There was substantial variation
between the primary studies and heterogeneity in their results. Findings of the
economic model were dependent on assumptions regarding the value of detecting and
treating positive cases. CONCLUSIONS: Although presentation troponin has
suboptimal sensitivity, measurement of a 10-hour troponin level is unlikely to be
cost-effective in most scenarios compared with a high-sensitivity presentation
troponin. CTCA may be a cost-effective strategy for troponin-negative patients,
but further research is required to estimate the effect of CTCA on event rates
and health-care costs. FUNDING: The National Institute for Health Research Health
Technology Assessment programme.