PURPOSE: Postoperative myocardial infarction causes hundreds of thousands of deaths annually, and "failure to rescue" is a leading cause of hospital mortality. Strategies to recognize cardiac injury are important to reduce the burden of cardiac-related morbidity. For these reasons, we chose to assess the association between postoperative troponin I elevations and 30-day in-hospital mortality and, secondarily, to compare the predictive value of regularly scheduled troponin estimates with troponin ordered in response to clinical indications. METHODS: We carried out a retrospective cohort analysis of 51,701 consecutive patients throughout 2003 to 2009. All patients were from a single university referral hospital and included all non-cardiac non-transplant surgery patients requiring overnight admission. Logistic regression was used to assess the risk-adjusted associations between troponin I and 30-day in-hospital mortality. RESULTS: The multivariable predictive model for death improved after troponin I was included. The receiver operating characteristic was 0.902 before troponin I vs 0.934 after troponin I (P<0.0001). The likelihood ratio for troponin was 3.0 (95% confidence interval 2.8 to 3.2) and evident in each surgical service. Increasing troponin I showed a dose-response associated with increased mortality, and compared with clinically based measurements, a regularly scheduled postoperative troponin protocol showed a threefold increase in the probability of detecting myocardial injury. However, troponin I was not found to improve the risk prediction model in the lowest risk patients (n=18,953; probability of death<0.02%) with one cardiac death. CONCLUSIONS: Postoperatively elevated troponin I is associated with 30-day in-hospital mortality in a dose-dependent manner. A postoperative measurement protocol provides a threefold increase in the ability to detect myocardial injury. Conversely, in patients with a low mortality risk, cardiac injury is low; there is minimal improvement in the ability to detect cardiac injury, and the rescue rates from cardiac injury are excellent. These findings suggest that a surveillance protocol of troponin I would be optimal when limited to moderate to high-risk patients.
PURPOSE:Postoperative myocardial infarction causes hundreds of thousands of deaths annually, and "failure to rescue" is a leading cause of hospital mortality. Strategies to recognize cardiac injury are important to reduce the burden of cardiac-related morbidity. For these reasons, we chose to assess the association between postoperative troponin I elevations and 30-day in-hospital mortality and, secondarily, to compare the predictive value of regularly scheduled troponin estimates with troponin ordered in response to clinical indications. METHODS: We carried out a retrospective cohort analysis of 51,701 consecutive patients throughout 2003 to 2009. All patients were from a single university referral hospital and included all non-cardiac non-transplant surgery patients requiring overnight admission. Logistic regression was used to assess the risk-adjusted associations between troponin I and 30-day in-hospital mortality. RESULTS: The multivariable predictive model for death improved after troponin I was included. The receiver operating characteristic was 0.902 before troponin I vs 0.934 after troponin I (P<0.0001). The likelihood ratio for troponin was 3.0 (95% confidence interval 2.8 to 3.2) and evident in each surgical service. Increasing troponin I showed a dose-response associated with increased mortality, and compared with clinically based measurements, a regularly scheduled postoperative troponin protocol showed a threefold increase in the probability of detecting myocardial injury. However, troponin I was not found to improve the risk prediction model in the lowest risk patients (n=18,953; probability of death<0.02%) with one cardiac death. CONCLUSIONS: Postoperatively elevated troponin I is associated with 30-day in-hospital mortality in a dose-dependent manner. A postoperative measurement protocol provides a threefold increase in the ability to detect myocardial injury. Conversely, in patients with a low mortality risk, cardiac injury is low; there is minimal improvement in the ability to detect cardiac injury, and the rescue rates from cardiac injury are excellent. These findings suggest that a surveillance protocol of troponin I would be optimal when limited to moderate to high-risk patients.
Authors: M Melanie Lyons; Nitin Y Bhatt; Elizabeth Kneeland-Szanto; Brendan T Keenan; Joanne Pechar; Branden Stearns; Nabil M Elkassabany; Stavros G Memtsoudis; Allan I Pack; Indira Gurubhagavatula Journal: Biomark Med Date: 2016 Impact factor: 2.851
Authors: Michael Kopec; Andreas Duma; Mohammad A Helwani; Jamie Brown; Frank Brown; Brian F Gage; David W Gibson; J Philip Miller; Eric Novak; Allan S Jaffe; Fred S Apple; Mitchell G Scott; Peter Nagele Journal: Anesth Analg Date: 2017-02 Impact factor: 5.108
Authors: Nathaniel R Smilowitz; Gabriel Redel-Traub; Anais Hausvater; Andrew Armanious; Joseph Nicholson; Christian Puelacher; Jeffrey S Berger Journal: Cardiol Rev Date: 2019 Nov/Dec Impact factor: 2.644
Authors: Laura Verbree-Willemsen; Remco B Grobben; Judith Ar van Waes; Linda M Peelen; Hendrik M Nathoe; Wilton A van Klei; Diederick E Grobbee Journal: Eur J Prev Cardiol Date: 2018-09-12 Impact factor: 7.804