scholarly journals Influence of myocardial damage on serum procalcitonin in ST-elevation myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Reindl ◽  
C Tiller ◽  
M Holzknecht ◽  
I Lechner ◽  
B Henninger ◽  
...  

Abstract Background Myocardial tissue injury due to acute ST-elevation myocardial infarction (STEMI) initiates an inflammatory response with a release of systemic inflammatory biomarkers including C-reactive protein (CRP) and white blood cell count (WBCc), which, however, hampers the usefulness of these routine biomarkers to identify concomitant infections. The clinical role of Procalcitonin (PCT), a promising marker of bacterial infections, to detect concomitant infections in acute STEMI is unknown, mainly because it is unclear whether myocardial injury per se induces a systemic PCT release. Purpose To investigate release kinetics of serum PCT in the acute setting of STEMI and possible associations with myocardial injury markers as comprehensively assessed by cardiac magnetic resonance (CMR) imaging. Methods In this prospective observational study, we included 141 STEMI patients treated with primary percutaneous coronary intervention (PCI). Concentrations of PCT, high-sensitivity CRP (hs-CRP), WBCc and high-sensitivity cardiac troponin T (hs-cTnT) were measured serially at day 1 and day 2 after infarction. CMR imaging to assess infarct size (IS), extent of microvascular injury (MVI) and occurrence of intramyocardial haemorrhage (IMH) was performed within the first week following STEMI. Results Median concentrations of PCT were 0.07μg/l at both time points. In 140 patients (99%), both PCT values were within the normal range (≤0.5μg/l). Whereas hs-CRP, WBCc, and hs-TnT were significantly correlated with CMR markers of myocardial damage, PCT did not show significant correlations (all p>0.10) with IS (PCT24h: r=0.07; PCT48h: r=0.13) or MVI (PCT24h: r=−0.03; PCT48h: r=0.09). Furthermore, PCT failed to discriminate between large and small IS or MVI or between presence and absence of IMH (AUC values:0.46–0.55). Conclusions In the acute phase after PCI for STEMI, circulating PCT remained unaffected by the extent of myocardial and microvascular tissue damage as visualized by CMR imaging. These data highlight the clinical potential of PCT to identify concomitant infections and to guide antibiotic treatments in STEMI patients. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Austrian Science Fund, Tiroler Wissenschaftsförderung

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Tiller ◽  
M Reindl ◽  
M Holzknecht ◽  
I Lechner ◽  
F Simma ◽  
...  

Abstract Background The inflammatory response due to myocardial tissue injury in the setting of acute ST-elevation myocardial infarction (STEMI) is essential for proper local infarct healing. However, an excessive inflammatory response may aggravate myocardial damage and hampers infarct healing processes. The present study aimed to investigate the association of systemic inflammatory biomarkers with infarct size (IS) dynamics post-STEMI, using cardiac magnetic resonance (CMR) imaging. Methods This prospective observational study included 245 STEMI patients treated with primary percutaneous coronary intervention (pPCI). Peak values of high-sensitivity C-reactive protein (hs-CRP), white blood cell count (WBCc) and fibrinogen were determined serially until 96 hours after pPCI. Infarct healing, defined as relative IS reduction from baseline to 4 months after STEMI, was assessed using late gadolinium enhanced CMR imaging. Results IS significantly decreased from 16% of left ventricular mass (LVM) (Interquartile range [IQR]:8–24) at baseline to 10% (IQR:5–17) at 4 months (p<0.001). Relative IS reduction was 35% (IQR:8–50). Whereas peak WBCc (p=0.926) and peak fibrinogen (p=0.161) were not significantly associated with relative IS reduction, peak hs-CRP showed a significant association with IS reduction (p=0.003). In multivariable logistic regression analysis, the association between peak hs-CRP and relative IS reduction remained significant after adjustment for baseline IS, hypertension, hs-cardiac troponin T and N-terminal pro B-type natriuretic peptide (odds ratio:0.35 [95% confidence interval:0.19–0.63]; p=0.001). Conclusions In STEMI patients treated with pPCI, hs-CRP was independently associated with 4 months IS reduction as determined by CMR, suggesting a pathophysiological interplay between inflammation and adverse infarct healing in survivors of acute STEMI. Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Austrian Society of Cardiology


Cardiology ◽  
2016 ◽  
Vol 136 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Georgios Giannopoulos ◽  
Dimitrios A. Vrachatis ◽  
Georgios Oudatzis ◽  
Georgios Paterakis ◽  
Christos Angelidis ◽  
...  

Objectives: Red blood cell microparticles (RBCm) have potential adverse vascular effects and they have been shown to be elevated in ST elevation myocardial infarction (STEMI). The purpose of this study is to investigate their relationship with biochemical infarct size. Methods: RBCm were quantified with flow cytometry in blood drawn from 60 STEMI patients after a primary angioplasty. The creatine kinase-myocardial brain fraction (CK-MB) was measured at predefined time points and the area under the curve (AUC) was calculated. Results: RBCm count was correlated with CK-MB AUC (Spearman's ρ = 0.83, p < 0.001). The CK-MB AUC values per RBCm quartile (lower to upper) were: 3,351 (2,452-3,608), 5,005 (4,450-5,424), 5,903 (4,862-10,594), and 8,406 (6,848-12,782) ng × h/ml, respectively. From lower to upper quartiles, the maximal troponin I values were: 42.2 (23.3-49.3), 49.6 (28.8-54.1), 59.2 (41.4-77.3), and 69.1 (48.0-77.5) ng/ml (p = 0.005). In multivariable analysis, RBCm remained a significant predictor of CK-MB AUC (standardized β = 0.63, adjusted p = 0.001). Conclusions: Erythrocyte microparticles appear to be related to the total myocardial damage biomarker output. The exact pathophysiologic routes, if any, for this interaction remain to be identified. However, these results suggest that erythrocytes may be a - thus far virtually ignored - player in the pathogenesis of ischemic injury.


2013 ◽  
Vol 33 (suppl_1) ◽  
Author(s):  
Archana Rajdev ◽  
Oana Penciu ◽  
Jacqueline Bradley ◽  
Cristina Mihu ◽  
Alan Siqueros ◽  
...  

INTRODUCTION Implantation of bare metal or drug eluting stents supported by dual antiplatelet therapy (DAPT) is standard treatment for the management of patients with ST elevation myocardial infarction (STEMI). Individual response to aspirin and clopidogrel is heterogeneous, and decreased response is associated with thrombotic events following stenting. We postulated that systemic inflammation at the time of STEMI would diminish responsiveness to DAPT. The aim of this study is to evaluate the correlation between elevated high-sensitivity C-reactive protein (hs-CRP) as a marker of inflammation and decreased platelet sensitivity to DAPT in STEMI. METHODS We recruited patients with STEMI undergoing percutaneous coronary intervention (PCI) who received oral clopidogrel 600 mg loading dose followed by 75 mg daily maintenance dose and aspirin 325 mg daily. Platelet reactivity and hs-CRP were measured within 72 hours of PCI and at 6 weeks. For patients receiving eptifibatide, blood samples were taken 48 hours after discontinuation. Platelet reactivity was assessed using the VerifyNow platelet function analyzer. A cut-off value of 208 platelet reaction units (PRU) was used to define high on-clopidogrel platelet reactivity (HCPR) and a value of 454 aspirin reaction units (ARU) was used to define high on-aspirin platelet reactivity (HAPR). RESULTS In 20 patients aged 31 to 85, in hospital and 6 weeks after STEMI, hs-CRP was 6.7 (SD 4.0) and 2.6 (SD 3.2) respectively, p< 0.01. Changes in ARU from 408.3 (SD 54.3) to 425.2 (SD 68.2) and PRU from 157.8 (SD 74.7) to 164.2 (SD 75) were not statistically significant. 2 patients had HAPR in hospital; 1 became sensitive at follow up. 2 patients developed HAPR and HCPR. We saw a trend towards higher PRU in diabetic patients and those prescribed statins. CONCLUSIONS Although we found a significant difference in hs-CRP levels between the first and second time point, no significant difference was found in on-aspirin and on-clopidogrel platelet reactivity between the time points.Thus, in this small series, the acute inflammatory state associated with STEMI did not appear to influence the on-DAPT reactivity at the dosages used. Trends among those with diabetics and prescribed statins will be discussed


2019 ◽  
Vol 119 (11) ◽  
pp. 1785-1794 ◽  
Author(s):  
Krishma Adatia ◽  
Mohamed F. Farag ◽  
Ying X. Gue ◽  
Manivannan Srinivasan ◽  
Diana A. Gorog

Background Patients with ST-elevation myocardial infarction (STEMI) exhibit pro-thrombotic and pro-inflammatory states. Markers of enhanced platelet reactivity and inflammation are predictive of adverse outcome. However, the relationship between these biomarkers, and their combined usefulness for risk stratification, is not clear. Methods In a prospective study of 541 patients presenting with STEMI, blood samples were taken on arrival to measure high-sensitivity C-reactive protein (hs-CRP), neutrophil/lymphocyte ratio (NLR) and platelet reactivity using the point-of-care Global Thrombosis Test. These biomarkers, alone and in combination, were related to the occurrence of major adverse cardiovascular events (MACE, defined as composite of cardiovascular death, myocardial infarction and cerebrovascular accident) at 30 days and 12 months. Results Platelet reactivity and hs-CRP, but not NLR, were weakly predictive of MACE at 30 days and 12 months. The combination of enhanced platelet reactivity and raised hs-CRP was strongly predictive of MACE at 30 days (hazard ratio [HR] 3.46 [95% confidence interval [CI] 1.81–6.62], p < 0.001) and 12 months (HR 3.46 [95% CI 1.81–6.63], p < 0.001). Combination of all three biomarkers (NLR, hs-CRP and platelet reactivity) provided the best prediction of MACE at 30 days (HR 3.73 [95% CI 1.69–8.27], p < 0.001) and 12 months (HR 3.85 [95% CI 1.72–8.60], p < 0.001), and improved the prediction of MACE when added to Thrombolysis In Myocardial Infarction score (net reclassification index 0.296, p < 0.001). Conclusion A combination of three easy to measure biomarkers on arrival, namely hs-CRP, NLR and platelet reactivity, can help identify STEMI patients at high risk of recurrent adverse events over the subsequent year.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Fu ◽  
C.X Song ◽  
X.D Li ◽  
Y.J Yang

Abstract Background The benefit of statins in secondary prevention of patients stabilized after acute coronary syndrome (ACS) has been well established. However, the benefit of preloading statins, i.e. high-intensity statins prior to reperfusion therapy remains unclear. Most previous studies included all types of ACS patients, and subgroup analysis indicated the benefit of preloading statins was only seen in ST-elevation myocardial infarction (STEMI) patients who underwent percutaneous coronary intervention (PCI). However, the sample size of subgroup population was relatively small and such benefit requires further validation. Objective To investigate the effect of loading dose of statins before primary reperfusion on 30-mortality in patients with STEMI. Methods We enrolled patients in China Acute Myocardial Infarction (CAMI) registry from January 2013 to September 2014. CAMI registry was a prospective multicenter registry of patients with acute acute myocardial infarction in China. Patients were divided into two groups according to statins usage: preloading group and control group. Patients in preloading group received loading does of statins before primary reperfusion and during hospitalization. Patients in control group did not receive statins during hospitalization or at discharge. Primary outcome was in-hospital mortality. Baseline characteristics, angiographic characteristics and outcome were compared between groups. Propensity score (PS) matching was used to mitigate baseline differences between groups and examine the association between preloading statins on in-hospital mortality risk. The following variables were used to establish PS matching score: age, sex, classification of hospitals, clinical presentation (heart failure at presentation, cardiac shock, cardiac arrest, Killip classification), hypertension, diabetes, prior angina, prior myocardial infarction history, prior stroke, initial treatment. Results A total of 1169 patients were enrolled in control group and 6795 in preloading group. A total of 833 patients (334 in control group and 499 in preloading group) died during hospitalization. Compared with control group, preloading group were younger, more likely to be male and present with Killip I classification. The proportion of hypertension and diabetes were higher in preloading group. After PS matching, all the variables used to generate PS score were well balanced. In the PS-matched cohort, 30-day mortality risk was 26.3% (292/1112) in the control group and 11.9% (132/1112) in the preloading group (p&lt;0.0001). Conclusions The current study found preloading statins treatment prior to reperfusion therapy reduced in-hospital mortality risk in a large-scale contemporary cohort of patients with STEMI. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Chinese Academy of Medical Sciences


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Cetran ◽  
E Lesaine ◽  
S Miganeh-Hadi ◽  
F Sevin ◽  
F Saillour-Glenisson ◽  
...  

Abstract Background A prompt diagnosis to initiate the appropriate reperfusion therapy is crucial to improve clinical outcomes in acute ST-elevation myocardial infarction (STEMI) patients. Socio-economic status (SES) refers to parameters like income, educational status and occupation. A low SES negatively interferes with the prognosis of STEMI patients. However, the impact of SES on delay time in acute STEMI remains matter of debate. Methods We used databases from two French multicentric and prospective registries: ACIRA (patients undergoing coronary angiography in any catheterization laboratories of Aquitaine) and REANIM (acute STEMI patients supported by emergency medical system (EMS) in Aquitaine). An ecological indicator of social deprivation Fdep09 was calculated to describe geographical inequalities in health based on municipality of residence. The higher the value, the more disadvantaged the population. Low SES was defined as Fdep09 &gt; median value. Results Two-thousand-eight-hundred-and-forty consecutive patients with acute STEMI undergoing coronary angiography from January 2017 to December 2018 in Aquitaine were included. Patients with lower SES were more often initially referred to emergency departments of non-percutaneous coronary intervention capable centers whereas patients with higher SES were more often directly transferred to PCI centers by the mobile emergency care units as recommended by the most recent European guidelines (p&lt;10–4). Patients with low SES had longer delays from symptom onset to first medical contact (FMC) (116 [60–119] vs 98 [55–233] min, p=0.0078) and were more likely to receive fibrinolysis (9.9 vs 5.2%, p&lt;10–4). Linear regression modeling showed that each point of the Fdep09 index was associated with increase in the delay from symptom onset to FMC by a factor 1.1 (95% CI: 1.04–1.17, p&lt;10–3) after adjusting for potential confounders. Conclusion SES inequality has negative influence on the delays in the management of acute STEMI patients. Efforts to raise awareness of suspicious signs of acute MI among individuals in lower SES could be valuable. FDep09 distribution Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): ARS Nouvelle-Aquitaine


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S.S Kasim ◽  
S Malek ◽  
K.K.S Ibrahim ◽  
M.F Aziz

Abstract Background Risk stratification in ST-elevation myocardial infarction (STEMI) that is population-specific is essential. Conventional risk stratification methods such Thrombolysis in Myocardial Infarction (TIMI) score is used to evaluate the risk associated with the acute coronary syndrome (ACS) which are derived from Western Caucasian cohort with a limited participant from the Asian region. In Malaysia, multi-ethnic developing country, patients presenting with STEMI are younger, have a much higher prevalence of diabetes, hypertension and renal failure, and present later to medical care than their western counterparts. Purpose We aim to investigate the predictors, predict mortality and develop a risk stratification tool for short and long term mortality in multi-ethnic STEMI patients using machine learning (ML) method. Methods We created three separate mortality prediction models using support vector machine (SVM) to identify predictors and predict mortality for in-hospital, 30-days and 1-year for STEMI patients. We used registry data from the National Cardiovascular Disease Database of 6299 patient's data for in-hospital, 3130 for 30-days and 2939 for 1-year for ML model development. Fifty parameters including demographics, cardiovascular risk, medications and clinical variables were utilised for training the models. The Area under the curve (AUC) was used as the primary performance evaluation metric. All models were validated against conventional method TIMI and tested using testing data. SVM variable importance method were used to select and rank important variables. We converted the final algorithm into an online tool with a database for continuous algorithm validation. We implemented the online calculator in selected hospitals for further testing using prospective patients data. Results The calculator is available at http://myheartstemi.uitm.edu.my. The calculator outperforms TIMI on testing data for in-hospital (15 predictors) (AUC=0.88 vs 0.81), 30 days (12 predictors) (AUC=0.90 vs 0.80) and 1-year (13 predictors) (AUC=0.84 vs 0.76). Common predictors for in-hospital, 30 days and 1-year mortality model identified in this study are; age, heart rate, Killip class, fasting blood glucose and diuretics. Invasive and less invasive treatments such as PCI pharmacotherapy drugs are also selected as important variables that improve mortality prediction. Our results also suggest that TIMI score underestimates patients risk of mortality. 90% of non-survival patients are classified as high risk (&gt;30%) by the calculator compared 10–30% non-survival patients by TIMI. Conclusions In the multi-ethnicity population, patients with STEMI are better classified using ML method compared to the TIMI score. ML allows identification of distinct factors in unique ASIAN population for better mortality prediction. Availability of population-specific calculator and continuous testing and validation allows better risk stratification. Machine learning and TIMI performance Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): University of Malaya Grant


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