scholarly journals Short-term and long-term prognosis in patients with Q-myocardial infarction complicated by acute heart failure with hyperglycemia

2019 ◽  
Vol 0 (5) ◽  
Author(s):  
V. D. Syvolap ◽  
N. I. Kapshytar
2020 ◽  
Author(s):  
Zhaodong Guo ◽  
Guoli Sun ◽  
Feier Song ◽  
Li Lei ◽  
Yibo He ◽  
...  

Abstract Background Undefined adequate hydration may increase the risk of postoperative acute heart failure (AHF) while reducing the risk of contrast-induced acute kidney injury (CI-AKI) in patients with acute myocardial infarction (AMI). No relevant study exists regarding the association of postoperative AHF and long-term prognosis. This study is to evaluate the all-cause long-term mortality and establish a nomogram model for predicting postoperative AHF in this patient group. Methods In this prospective observational study, 1312 AMI patients undergoing coronary angiography (CAG) were included in the final analysis. Patients were assigned into a non-postoperative AHF-group (n=1235) or a postoperative AHF-group (n=77). The diagnosis of postoperative AHF was based on assessing symptom history, prior cardiovascular history, and potential cardiac and non-cardiac precipitants. Results The overall incidence of postoperative AHF was 77/1312 (5.9%). The incidence of all-cause long-term mortality was significantly higher in the postoperative AHF-group than in the non-postoperative AHF-group (50.6% vs. 17.0%, P<0.01). The median follow-up period was 7.0 years (interquartile range: 5.5 – 8.7). After adjusting for female, LVEF, eGFR, anemia, hypertension, diabetes mellitus, and PCI, postoperative AHF was the strongest predictor of all-cause long-term mortality (hazard ratio: 3.11; 95% CI: 1.83 – 5.30; P<0.01). A nomogram developed based on the four variables was with the AUC 0.83 on internal validation. Calibration curve showed that the predicted and actual probabilities of postoperative AHF were fitted well. Conclusions In patients with AMI undergoing CAG, postoperative AHF is the strongest predictor of all-cause long-term mortality. The nomogram showed an effective value of predicting postoperative AHF using preoperative predictions.


2020 ◽  
pp. 31-39
Author(s):  
S.Y. Borodashkina ◽  
◽  
K.V. Protasov ◽  

Patients with myocardial infarction (MI) and atrial fibrillation (AF), the number of which is progressively increasing every year, make up a high-risk group for both recurrent cardiovascular events and bleeding; they require special attention from clinicians. The literature review provides data on features of pathogenesis and clinical manifestations of MI in patients with AF. The analysis of data on AF effect observational studies on short-term and long-term prognosis in patients with myocardial infarction was carried out. Mechanisms of occurrence, clinical features and prognostic value of postinfarction AF are considered. From the standpoint of modern clinical guidelines, information is presented on features of MI invasive treatment in combination with AF. Algorithms of anticoagulant and antiarrhythmic therapy in patients of this category are considered.


2021 ◽  
Author(s):  
Zorba Blázquez‐Bermejo ◽  
Nuria Farré ◽  
Pedro Caravaca Perez ◽  
Marc Llagostera ◽  
Laura Morán‐Fernández ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
pp. 16-22
Author(s):  
Farida Hanum Margolang ◽  
Refli Hasan ◽  
Abdul Halim Raynaldo ◽  
Harris Hasan ◽  
Ali Nafiah ◽  
...  

Background: Acute heart failure is a global health problem with high morbidity and mortality. Short term and long term prognosis of these patients is poor. Therefore, early identification of patients at high risk for major adverse cardiovascular events (MACEs) during hospitalization was needed to improve outcome. Creatinine levels at admission could be used as predictors of major adverse cardiovascular events in acute heart failure patients because creatinine is a simple and routine biomarker of renal function examined in patients with acute heart failure. This study aimed to determine whether creatinine can be used as a predictor of major adverse adverse cardiovascular events in patients with acute heart failure.Methods: This study is a prospective cohort study of 108 acute heart failure patients treated at H. Adam Malik Hospital from July 2018 to January 2019. Creatinine cut-off points were determined using the ROC curve, then bivariate and multivariate analyzes were performed to determine predictors of major adverse cardiovascular events during hospitalization.Results: From 108 study subjects, 24 (22.2%) subjects experienced major adverse cardiovascular events during hospitalization. The subjects who died were 20 people (83.4%), subjects with arrhythmia were 2 people (8.3%), and those who had stroke were 2 people (8.3 %). Through the ROC curve analysis, we found creatinine cut-off values of ≥1.7 mg / dl (AUC 0.899, 95% CI 0.840- 0.957, p <0.05). Creatinine ≥1.7 mg/dl could predict major adverse cardiovascular events with a sensitivity of 87.5% and specificity of 79.5%. Multivariate analysis showed that creatinine ≥1.7 mg / dl was an independent factor to predict MACEs during hospitalization in this study (OR 18,310, p 0.001) as well as creatinine clearance and heart rate.Conclusion: Creatinine levels at admission is an independent predictor for major adverse cardiovascular events during hospitalization in acute heart failure patients.


PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0201714 ◽  
Author(s):  
Jan C. van den Berge ◽  
Alina A. Constantinescu ◽  
Ron T. van Domburg ◽  
Milos Brankovic ◽  
Jaap W. Deckers ◽  
...  

Diabetes Care ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 143-149 ◽  
Author(s):  
Jan C. van den Berge ◽  
Alina A. Constantinescu ◽  
Hendrik J. Boiten ◽  
Ron T. van Domburg ◽  
Jaap W. Deckers ◽  
...  

2007 ◽  
Vol 13 (6) ◽  
pp. S12
Author(s):  
Shinya Hiramitsu ◽  
Kenji Miyagishima ◽  
Kazumasa Mori ◽  
Hisashi Kimura ◽  
Tomoya Ueda ◽  
...  

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