scholarly journals Creatinine Levels at Admission as Predictors of In-Hospital Major Adverse Cardiovascular Events in Acute Heart Failure Patient

2020 ◽  
Vol 6 (1) ◽  
pp. 16-22
Author(s):  
Farida Hanum Margolang ◽  
Refli Hasan ◽  
Abdul Halim Raynaldo ◽  
Harris Hasan ◽  
Ali Nafiah ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Roc Curve ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
High Morbidity ◽  
Roc Curve Analysis ◽  
Heart Failure Patients ◽  
Long Term Prognosis

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.

scholarly journals Hyperuricemia treatment in acute heart failure patients does not improve their long‐term prognosis: A propensity score matched analysis from the AHEAD registry

2019 ◽  
Vol 42 (8) ◽  
pp. 720-727 ◽  
Author(s):  
Marie Pavlusova ◽  
Jiri Jarkovsky ◽  
Klara Benesova ◽  
Jiri Vitovec ◽  
Ales Linhart ◽  
...  
Keyword(s):  
Heart Failure ◽  
Propensity Score ◽  
Acute Heart Failure ◽  
Heart Failure Patients ◽  
Long Term Prognosis

Acute heart failure: predicting early in-hospital outcomes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
S Paula ◽  
I Almeida ◽  
H Santos ◽  
H Miranda ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Acute Heart Failure ◽  
Roc Curve ◽  
Real Life ◽  
Study Data ◽  
Curve Analysis ◽  
Older Age ◽  
Invasive Ventilation ◽  
Roc Curve Analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes. Objective To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data. Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis. Results Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge. Older age (p &lt; 0.001), lower SBP (p = 0,035) and need of inotropes (p &lt; 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p &lt; 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p &lt; 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p &lt; 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p &lt; 0.001, CI 0.971-0.988), higher urea (OR 1.01, p &lt; 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage. Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p &lt; 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p &lt; 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84). Conclusion In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

scholarly journals Dose of furosemide before admission predicts diuretic efficiency and long‐term prognosis in acute heart failure

2021 ◽  
Author(s):  
Zorba Blázquez‐Bermejo ◽  
Nuria Farré ◽  
Pedro Caravaca Perez ◽  
Marc Llagostera ◽  
Laura Morán‐Fernández ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Diuretic Efficiency ◽  
Long Term Prognosis

scholarly journals Role of comorbidities in heart failure prognosis Part I: Anaemia, iron deficiency, diabetes, atrial fibrillation

2020 ◽  
Vol 27 (2_suppl) ◽  
pp. 27-34
Author(s):  
Stefania Paolillo ◽  
Angela B Scardovi ◽  
Jeness Campodonico
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Chronic Heart Failure ◽  
Iron Deficiency ◽  
Prognostic Impact ◽  
Heart Failure Patients ◽  
Cardiovascular Comorbidities ◽  
Long Term Prognosis

Cardiovascular and non-cardiovascular comorbidities are frequently observed in heart failure patients, complicating the therapeutic management and leading to poor prognosis. The prompt recognition of associated comorbid conditions is of great importance to optimize the clinical management, the follow-up, and the treatment of patients affected by chronic heart failure. Anaemia and iron deficiency are commonly reported in all heart failure forms, have a multifactorial aetiology and are responsible for reduced exercise tolerance, impaired quality of life, and poor long-term prognosis. Diabetes mellitus is highly prevalent in heart failure and a poor glycaemic control is associated with worst outcome. Two specific heart failure forms are usually observed in diabetic patients: an ischaemic cardiomyopathy or a typical diabetic cardiomyopathy. The implementation of use of sodium-glucose cotransporter-2 inhibitors will much improve in the near future the long-term prognosis of patients affected by heart failure and diabetes. Among cardiovascular comorbidities, atrial fibrillation is the most common arrhythmic disease of heart failure patients and it is still not clear whether its presence should be considered as a prognostic indicator or as a marker of advanced disease. The aim of the present review was to explore the clinical and prognostic impact of anaemia and iron deficiency, diabetes mellitus, and atrial fibrillation in patients affected by chronic heart failure.

scholarly journals Prognostic value of base excess as indicator of acid-base balance in acute heart failure

2020 ◽  
Vol 9 (5) ◽  
pp. 399-405 ◽  
Author(s):  
Hiroki Nakano ◽  
Toshiyuki Nagai ◽  
Yasuyuki Honda ◽  
Satoshi Honda ◽  
Naotsugu Iwakami ◽  
...  
Keyword(s):  
Heart Failure ◽  
Confidence Interval ◽  
Acute Heart Failure ◽  
Base Excess ◽  
Acid Base Balance ◽  
Acid Base ◽  
Heart Failure Patients ◽  
Base Balance ◽  
High Base

Background: Acid-base balance can change as a result of pulmonary oedema and low tissue perfusion in acute heart failure patients. However, its long-term prognostic significance remains to be clarified. Methods: We prospectively examined a cohort of 472 consecutive acute heart failure patients who underwent arterial blood gas analysis on admission between January 2013 and May 2016. Acidaemia, alkalaemia and normal range of base excess were defined as pH <7.38, >7.42 and −2 to 2 mEq/L, respectively. The primary outcome was all-cause death. Results: During a median follow-up period of 714 days, 101 patients died. Although there was no difference in mortality among patients with acidaemia, normal pH and alkalaemia ( p = 0.92), patients with high base excess had the highest mortality compared with others. Multivariable Cox proportional hazard models revealed that high base excess was an independent determinant of mortality (hazard ratio 1.83, 95% confidence interval 1.08–3.13 (high versus normal base excess), hazard ratio 0.81, 95% confidence interval 0.47–1.41 (low versus normal base excess)), even after adjustment for significant prognostic covariates. Furthermore, regarding mortality stratified by base excess and carbon dioxide partial pressure (pCO2), patients with high base excess (>2.1 mEq/L) and high pCO2 (>40 mmHg) had the highest mortality compared with others. Conclusions: High base excess, but not low base excess, on admission was associated with long-term mortality in acute heart failure patients, indicating the importance of evaluating acid-base balance on admission by base excess for stratifying the risk of mortality in patients with acute heart failure.

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