2012
DOI: 10.1016/j.jcin.2012.03.018
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Serious Infection After Acute Myocardial Infarction

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Cited by 48 publications
(30 citation statements)
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“…Using the disjunctive cause criterion (VanderWeele and Shpitser 2011 ) for confounder identification, we included age (in years), sex, socioeconomic status (SES) (Donnelly et al 2018 ), history of stroke (Chamorro et al 2007 ), any kind of cancer (Rolston 2017 ), myocardial infarction (Truffa et al 2012 ), diabetes mellitus type 1 or 2 (Casqueiro et al 2012 ), smoking status (Bagaitkar et al 2008 ), BMI (kg/m 2 ; with BMI > 30 defined as obese according to WHO definition (Dobner and Kaser 2018 ; WHO 2019 )), and hypertension as potential confounders (Gu et al 2017 ). All potential confounders were assessed as self-reported variables at baseline only, using a standardized interview.…”
Section: Methodsmentioning
confidence: 99%
“…Using the disjunctive cause criterion (VanderWeele and Shpitser 2011 ) for confounder identification, we included age (in years), sex, socioeconomic status (SES) (Donnelly et al 2018 ), history of stroke (Chamorro et al 2007 ), any kind of cancer (Rolston 2017 ), myocardial infarction (Truffa et al 2012 ), diabetes mellitus type 1 or 2 (Casqueiro et al 2012 ), smoking status (Bagaitkar et al 2008 ), BMI (kg/m 2 ; with BMI > 30 defined as obese according to WHO definition (Dobner and Kaser 2018 ; WHO 2019 )), and hypertension as potential confounders (Gu et al 2017 ). All potential confounders were assessed as self-reported variables at baseline only, using a standardized interview.…”
Section: Methodsmentioning
confidence: 99%
“…Data from 5745 patients with STEMI enrolled in the APEX-AMI trial demonstrated that the prevalence of serious infection was 2.4% and that infection was associated with higher 90-day mortality (29%). 9 Also, another study of 1486 patients with STEMI reported the prevalence of serious infection at 3.9% and the 30-day mortality was up to 53% in these patients. 8 The conclusions of these two studies paralleled our conclusion: infection is uncommon but associated with worse clinical outcomes.…”
Section: Discussionmentioning
confidence: 97%
“…However, since no high-quality IMT study has been conducted in patients with AMI, we decided to calculate the sample size for our study using inspiratory muscle strength, and later extended this to better explore the effect of IMT on the secondary endpoints, especially pneumonia. Fourth, the model for calculating the risk of pneumonia was based on previous work in patients with ST-elevation myocardial infarction, without validation of its accuracy in our selected patient population ( 1 , 2 ). Because there are not risk model for pneumonia in patients with AMI currently.…”
Section: Discussionmentioning
confidence: 99%
“…After reviewing the results of previous studies and the clinical risk factors for pneumonia ( 1 , 2 , 7 , 10 ), the following parameters will be used for pneumonia risk calculation: (1) age > 55 years; (2) history of diabetes mellitus, (3) present smoker; (4) chronic kidney disease [estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m 2 )]; and (5) forced expiratory volume in the first second of expiration (FEV 1 ) <80% predicted and FEV 1 /forced vital capacity (FVC) <70% predicted. Having two or more of these parameters is regarded as being high risk for pneumonia.…”
Section: Methodsmentioning
confidence: 99%