scholarly journals Identification of myocardial injury using perioperative troponin surveillance in major noncardiac surgery and net benefit over the Revised Cardiac Risk Index

Author(s):  
Michelle S. Chew ◽  
Christian Puelacher ◽  
Akshaykumar Patel ◽  
Fredrik Hammarskjöld ◽  
Sara Lyckner ◽  
...  
Author(s):  
Judith A.R. van Waes ◽  
Linda M. Peelen ◽  
Hans Kemperman ◽  
Remco B. Grobben ◽  
Hendrik M. Nathoe ◽  
...  

Abstract Background: Myocardial injury after noncardiac surgery, as measured by troponin elevation, is strongly associated with mortality. However, it is unknown in which patients prognosis can be improved. The presence of kinetic changes of troponin may be associated with a worse prognosis and warrant more aggressive management. Therefore, we aimed to study the kinetics of troponin in patients with postoperative myocardial injury, and to determine the added predictive value of kinetic changes of troponin on mortality. Methods: This cohort study included patients with myocardial injury after noncardiac surgery. Troponin I (TnI) was measured on the first three postoperative days. The primary outcome was all-cause 1-year mortality. We studied both absolute and relative TnI changes, and determined the delta TnI that was associated with mortality to distinguish a rise-and-fall TnI pattern from a stable TnI pattern. Next, we determined the added predictive value of a rise-and-fall TnI pattern for mortality. Results: In total, 634 patients were included. The risk ratio (RR) for mortality increased significantly with an absolute delta TnI of ≥200 ng/L (RR 1.5, 99.4% CI 1.0–2.2, p=0.003). Using this delta TnI to define a rise-and-fall pattern, 459 patients (72%) had a stable TnI pattern and 175 patients (28%) had a rise-and-fall pattern. When added to a model including the highest TnI value and variables from the revised cardiac risk index (RCRI), the TnI pattern did not increase the predictive value for mortality. Conclusions: A postoperative TnI rise-and-fall pattern was associated with 1-year mortality, but had no added value in addition to the highest TnI level to predict 1-year mortality. Therefore, postoperative TnI kinetics are not useful for further mortality risk stratification in patients with myocardial injury after noncardiac surgery.


2015 ◽  
Vol 8 (1) ◽  
pp. 103-108 ◽  
Author(s):  
Charlotte Andersson ◽  
Mads Wissenberg ◽  
Mads Emil Jørgensen ◽  
Mark A. Hlatky ◽  
Charlotte Mérie ◽  
...  

Author(s):  
Nicholas J. Douville ◽  
Ida Surakka ◽  
Aleda Leis ◽  
Christopher B. Douville ◽  
Whitney E. Hornsby ◽  
...  

Background: While postoperative myocardial injury remains a major driver of morbidity and mortality, the ability to accurately identify patients at risk remains limited despite decades of clinical research. The role of genetic information in predicting myocardial injury after noncardiac surgery (MINS) remains unknown and requires large scale electronic health record and genomic data sets. Methods: In this retrospective observational study of adult patients undergoing noncardiac surgery, we defined MINS as new troponin elevation within 30 days following surgery. To determine the incremental value of polygenic risk score (PRS) for coronary artery disease, we added the score to 3 models of MINS risk: revised cardiac risk index, a model comprised entirely of preoperative variables, and a model with combined preoperative plus intraoperative variables. We assessed performance without and with PRSs via area under the receiver operating characteristic curve and net reclassification index. Results: Among 90 053 procedures across 40 498 genotyped individuals, we observed 429 cases with MINS (0.5%). PRS for coronary artery disease was independently associated with MINS for each multivariable model created (odds ratio=1.12 [95% CI, 1.02–1.24], P =0.023 in the revised cardiac risk index-based model; odds ratio, 1.19 [95% CI, 1.07–1.31], P =0.001 in the preoperative model; and odds ratio, 1.17 [95% CI, 1.06–1.30], P =0.003 in the preoperative plus intraoperative model). The addition of clinical risk factors improved model discrimination. When PRS was included with preoperative and preoperative plus intraoperative models, up to 3.6% of procedures were shifted into a new outcome classification. Conclusions: The addition of a PRS does not significantly improve discrimination but remains independently associated with MINS and improves goodness of fit. As genetic analysis becomes more common, clinicians will have an opportunity to use polygenic risk to predict perioperative complications. Further studies are necessary to determine if PRSs can inform MINS surveillance.


2019 ◽  
Vol 33 (4) ◽  
pp. 927-932 ◽  
Author(s):  
Roop Kaw ◽  
Vijaiganesh Nagarajan ◽  
Likhitesh Jaikumar ◽  
Meghana Halkar ◽  
Divyanshu Mohananey ◽  
...  

2005 ◽  
Vol 118 (10) ◽  
pp. 1134-1141 ◽  
Author(s):  
Eric Boersma ◽  
Miklos D. Kertai ◽  
Olaf Schouten ◽  
Jeroen J. Bax ◽  
Peter Noordzij ◽  
...  

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