The association of concomitant serum potassium and glucose levels and in-hospital mortality in patients with acute myocardial infarction (AMI). Soroka acute myocardial infarction II (SAMI-II) project

Plakht, Ygal; Gilutz, Harel; Shiyovich, Arthur

doi:10.1016/j.ijcard.2019.02.031

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…Based on the abovementioned discussion and considering the combined effects of serum potassium and serum glucose levels, the GPR index may be a good indicator for reflecting the status of HPA axis and RAAS dysregulation after IS. Moreover, studies of other stress damage types including acute myocardial infarction 43 , blunt abdominal trauma 44 , pulmonary embolism 45 , and even intermediate syndrome induced by anticholinesterase-containing chemicals poisoning 46 all showed a stable correlation between increased GPR and poor outcomes or more severe symptoms. These studies also suggest that GPR may be a potential marker of stress injury for reflecting the condition of the whole body in severe disease.…”

Section: Discussionmentioning

confidence: 99%

The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients

Zhou

et al. 2022

Sci Rep

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High serum glucose to potassium ratio (GPR) at admission is implicated for a poor outcome in acute brain injury, acute intracranial hemorrhage, and aneurysmal subarachnoid hemorrhage. However, the relationship between GPR and the outcome of ischemic stroke (IS) remains unknown. In all, 784 IS patients from a large emergency Norwegian cohort were included for secondary analysis. The exposure and outcome were GPR at baseline and all-cause mortality within 30 days after the first admission. Multivariable logistic regression analysis was performed to estimate the risk of 30-day mortality based on GPR levels. In addition, we examined whether there was a nonlinear relationship between admission GPR and 30-day mortality using two-piecewise linear regression with a smoothing function and threshold level analysis. The results of multivariable regression analysis showed that GPR at baseline was positively associated with the 30-day mortality (OR 2.01, 95% CI 1.12, 3.61) after adjusting for potential confounders (age, gender, department, serum sodium, serum albumin, serum-magnesium, hypertension, heart failure, chronic renal failure, and pneumonia). When GPR was translated to a categorical variable, the ORs and 95% CIs in the tertiles 2 to 3 versus the tertile 1 were 1.24 (0.60, 2.56) and 2.15 (1.09, 4.24), respectively (P for trend = 0.0188). Moreover, the results of the two-piecewise linear regression and curve fitting revealed a linear relationship between GPR and 30-day mortality. In IS patients, GPR is positively correlated with 30-day mortality, and the relationship between them is linear. The GPR at admission may be a promising predictor for the short-term outcome in IS patients.

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Section: Discussionmentioning

confidence: 99%

The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients

Zhou

et al. 2022

Sci Rep

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“…The study confirmed that ApoA1 is superior to HDL-C in evaluating the severity of coronary artery injury ( 6 ). In addition, studies have shown that the level of ALB and GLU at admission is an independent predictor of cardiovascular death in patients with myocardial infarction ( 7 – 9 ). Therefore, the risk indicators of FFA, ApoA1, GLU, age and ALB selected in this study have clinical significance.…”

Section: Introductionmentioning

confidence: 99%

Risk prediction model for major adverse cardiovascular events (MACE) during hospitalization in patients with coronary heart disease based on myocardial energy metabolic substrate

Lin

Yao

2023

Front. Cardiovasc. Med.

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BackgroundThe early attack of coronary heart disease (CHD) is very hidden, and clinical symptoms generally do not appear until cardiovascular events occur. Therefore, an innovative method is needed to judge the risk of cardiovascular events and guide clinical decision conveniently and sensitively. The purpose of this study is to find out the risk factors related to MACE during hospitalization. In order to develop and verify the prediction model of energy metabolism substrates, and establish a nomogram to predict the incidence of MACE during hospitalization and evaluate their performance.MethodsThe data were collected from the medical record data of Guang'anmen Hospital. This review study was collected the comprehensive clinical data of 5,935 adult patients hospitalized in the cardiovascular department from 2016 to 2021. The outcome index was the MACE during hospitalization. According to the occurrence of MACE during hospitalization, these data were divided into MACE group (n = 2,603) and non-MACE group (n = 425). Logistic regression was used to screen risk factors, and establish the nomogram to predict the risk of MACE during hospitalization. Calibration curve, C index and decision curve were used to evaluate the prediction model, and drawn ROC curve to find the best boundary value of risk factors.ResultsThe logistic regression model was used to establish a risk model. Univariate logistic regression model was mainly used to screen the factors significantly related to MACE during hospitalization in the training set (each variable is put into the model in turn). According to the factors with statistical significance in univariate logistic regression, five cardiac energy metabolism risk factors, including age, albumin(ALB), free fatty acid(FFA), glucose(GLU) and apolipoprotein A1(ApoA1), were finally input into the multivariate logistic regression model as the risk model, and their nomogram were drawn. The sample size of the training set was 2,120, the sample size of the validation set was 908. The C index of the training set is 0.655 [0.621,0.689], and the C index of the validation set was 0.674 [0.623,0.724]. The calibration curve and clinical decision curve show that the model performs well. The ROC curve was used to establish the best boundary value of the five risk factors, which could quantitatively present the changes of cardiac energy metabolism substrate, and finally achieved prediction of MACE during hospitalization conveniently and sensitively.ConclusionAge, albumin, free fatty acid, glucose and apolipoprotein A1 are independent factors of CHD in MACE during hospitalization. The nomogram based on the above factors of myocardial energy metabolism substrate provides prognosis prediction accurately.

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“…Thus, the potassium levels in ACS patients with diabetes will increase. 6,7 Low-risk ACS patients can be well-managed in an outpatient clinic. Meanwhile, ACS patients with intermediate to high risk should be managed more quickly and aggressively, with hospitalization and consultation with a cardiology consultant.…”

Section: Introductionmentioning

confidence: 99%

Correlation of Serum Potassium Status and HEART Score in Acute Coronary Syndrome Patients

Logito

Suraya

Turbawati

2021

amj

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Background: Patients with acute coronary syndrome (ACS) often experience hypokalemia which increase the risk of ventricular arrhythmia. The HEART Score can identify the prognosis of ACS. This study aimed to examine the correlation between serum potassium and HEART Score on ACS. Methods: This was a cross-sectional observational, correlative analytic study. The data were taken retrospectively using secondary data. Inclusion criteria were all ACS patients who had been examined for serum potassium parameters at the Emergency Room of Dr. Hasan Sadikin General Hospital Bandung in 2019. The HEART Score was calculated based on history (H), electrocardiogram (E), Age (A), risk factors (R), and troponin (T). Subjects were divided into low risk, intermediate risk, and high risk groups based on the HEART Score value. Results: Fifty-two ACS subjects were mostly male with a mean±SD age of 59±9 years. All subjects had moderate and high HEART scores, with 79% subjects having normokalemia. There was no correlation between HEART Score and serum potassium levels (r = -0.083, p=0.279). Conclusion:There is no relationship between serum potassium and the HEART Score that may need to determine the prognosis in ACS patients. Further study is imperative to explore serum potassium levels which might begin to decline 24 hours after the acute attack.

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The association of concomitant serum potassium and glucose levels and in-hospital mortality in patients with acute myocardial infarction (AMI). Soroka acute myocardial infarction II (SAMI-II) project

Cited by 6 publications

References 28 publications

The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients

The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients

Risk prediction model for major adverse cardiovascular events (MACE) during hospitalization in patients with coronary heart disease based on myocardial energy metabolic substrate

Correlation of Serum Potassium Status and HEART Score in Acute Coronary Syndrome Patients

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