Elevated serum transaminases in patients with acute coronary syndromes: Do we need a revision of exclusion criteria for clinical trials?

Investigating the efficacy of acupuncture in treating patients with metabolic-associated fatty liver disease: a protocol for a randomised controlled clinical trial

INTRODUCTION

Acupuncture is widely used for metabolic-associated fatty liver disease (MAFLD) treatment; however, the clinical efficacy has not been confirmed due to the lack of high-level evidence-based clinical practice. The purpose of this study is to design a research protocol that will be used to determine the efficacy of acupuncture versus sham acupuncture (SHA) for MAFLD treatment.

METHODS AND ANALYSIS

This will be a multicentre, randomised and sham-controlled trial. Ninety-eight participants with MAFLD will be enrolled in this trial. Participants will be randomly assigned in a 1:1 ratio to receive acupuncture or SHA for 12 weeks. The primary outcome is the rate of patients with a 30% relative decline in liver fat after 12 weeks of treatment in MRI-proton density fat fraction (MRI-PDFF), which will be obtained by quantitative chemical shift imaging such as the multipoint Dixon method at 0, 12 and 24 weeks. Secondary outcomes include the changes in the relative liver fat content measured by MRI-PDFF, magnetic resonance elastography, liver function, lipid metabolism, homeostatic model assessment for insulin resistance (HOMA-IR) and serum high sensitivity C reactive protein, which will be obtained at 0, 6, 12 and 24 weeks. Body measurement indicators (body mass index, waist circumference, hip circumference and waist-to-hip ratio) will be obtained at 0, 3, 6, 9, 12 and 24 weeks. The alteration in the gut microbiota composition and its metabolism will be assessed by 16S ribosomal RNA sequencing and liquid chromatography-mass spectrometry at 0 and 12 weeks.

ETHICS AND DISSEMINATION

This study protocol has been approved by the ethics committee of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (2023-1347-114-01). The results of this study will be published in a peer-reviewed journal and presented at academic conferences.

TRIAL REGISTRATION NUMBER

ChiCTR2300075701.

Comparison of Diagnostic Parameters of Acute Coronary Syndromes in Patients with and without Cancer: A Multifactorial Analysis

BACKGROUND

The simultaneous occurrence of cancer and acute coronary syndromes (ACSs) presents a complex clinical challenge. This study clarifies variances in diagnostic parameters among ACS patients with and without concurrent cancer.

METHODS

This retrospective study included 320 individuals diagnosed with ACS, stratified equally into two cohorts-one with cancer and the other cancer-free. We evaluated risk factors, symptom profiles, coronary angiography results, echocardiographic evaluations, and laboratory diagnostics. Statistical analysis was performed using Student's t-test, the Mann-Whitney U test, and the chi-square test.

RESULTS

Cancer patients were older (mean age 71.03 vs. 65.13 years, p < 0.001) and had a higher prevalence of chronic kidney disease (33.1% vs. 15.0%, p < 0.001) but a lower prevalence of hyperlipidemia (59.7% vs. 82.5%, p < 0.001). Chest pain was less frequent in cancer patients (72.5% vs. 90%, p < 0.001), while hypotension was more common (41.9% vs. 28.8%, p = 0.022). NSTEMI was more common in cancer patients (41.9% vs. 30.6%, p = 0.048), while STEMI was less common (20.6% vs. 45.3%, p < 0.001). RCA and LAD involvement were less frequent in cancer patients (RCA: 18.1% vs. 30.0%, p = 0.018; LAD: 18.8% vs. 30.0%, p = 0.026).

CONCLUSIONS

This study demonstrates differences in the clinical presentation of ACS between patients with and without cancer. Cancer patients were less likely to present with chest pain and more likely to experience hypotension. Additionally, they had a higher prevalence of chronic kidney disease and they were less likely to have hyperlipidemia. These findings highlight the need for a careful approach to diagnosing ACS in oncology patients, considering their distinct symptomatology.

Identification of predictors for the comprehensive clinical risk and severity of coronary lesions of acute coronary syndrome

Background

Acute coronary syndrome (ACS) is the most common cause of death in patients with coronary artery disease. The aim of the study was to identify the predictors of both comprehensive clinical risk and severity of coronary lesions by comprehensive use of GRACE and SYNTAX scores in patients with ACS.

Methods

Clinical data of 225 ACS patients who underwent coronary angiography between 2015 and 2016 were collected. Multiple logistic regression analysis (stepwise) was used to identify the predictors. The predictive ability of predictors and the model were determined using receiver operating characteristics analyses.

Results

Multivariable logistic regression analyses showed that high aspartate aminotransferase (AST) predicted the comprehensive clinical risk with odds ratios (ORs) and 95% confidence intervals (CIs) of 1.011 (1.002–1.021). High total cholesterol (TC) and red blood cell distribution width (RDW) predicted the severity of coronary lesions with ORs and 95% CIs of 1.517 (1.148–2.004) and 1.556 (1.195–2.028), respectively. Low prealbumin predicted both severity of coronary lesions and comprehensive clinical risk of ACS patients with ORs and 95% CIs of 0.743 (0.672–0.821) and 0.836 (0.769–0.909), respectively. The model with a combination of prealbumin and AST had the highest predictive efficacy for comprehensive clinical risk, and the combination of prealbumin, TC, and RDW had the highest predictive efficacy for the severity of coronary lesions. The sensitivity and specificity, and the optimal cut-off values of these four indexes were determined.

Conclusions

Four predictors for the comprehensive clinical risk and severity of coronary lesions of ACS were identified, which provided important information for the early diagnosis and appropriate treatment of ACS.

A High De Ritis Ratio is Associated with Mortality in Adult Trauma Patients

Introduction

The De Ritis ratio, which is the ratio of aspartate aminotransferase (AST) to alanine aminotransferase (ALT), has been suggested as a potential prognostic marker for various diseases. This study aimed to investigate the association between the De Ritis ratio and in-hospital mortality in adult trauma patients.

Methods

A total of 17,472 adult trauma patients hospitalized between January 1, 2009, and December 31, 2020, were allocated into groups according to the De Ritis ratio. The normal range of the De Ritis ratio was calculated from 3320 individuals in the National Taiwan Biobank. Statistical analyses were performed using SPSS software.

Results

Patients with a De Ritis ratio >1.6 had a significantly higher in-hospital mortality rate (7.3% vs 1.5%, odds ratio 5.29; Q1-Q3 2.72-10.30; p < 0.001) and a 2.71-fold higher in-hospital mortality rate (Q1-Q3 1.24-5.92; p = 0.012), after adjusting for sex, age, comorbidities, consciousness level, and injury severity, than those with a De Ritis ratio within the reference values.

Discussion

This study revealed that a De Ritis ratio >1.6 may serve as an early prognostic tool to identify adult trauma patients at high risk of in-hospital mortality.

Using Second Measurement of De Ritis Ratio to Improve Mortality Prediction in Adult Trauma Patients in Intensive Care Unit

The De Ritis ratio (DRR), the ratio of serum levels of aspartate aminotransferase/alanine aminotransferase, has been reported to be a valuable biomarker in risk stratification for many liver and non-liver diseases. This study aimed to explore whether the inclusion of DRR at the date of intensive care unit (ICU) admission or days after ICU admission improves the predictive performance of various prognosis prediction models. This study reviewed 888 adult trauma patients (74 deaths and 814 survivors) in the trauma registered database between 1 January 2009, and 31 December 2020. Medical information with AST and ALT levels and derived DRR at the date of ICU admission (1st DRR) and 3-7 day after ICU admission (2nd DRR) was retrieved. Logistic regression was used to build new probability models for mortality prediction using additional DRR variables in various mortality prediction models. There was no significant difference in the 1st DRR between the death and survival patients; however, there was a significantly higher 2nd DRR in the death patients than the survival patients. This study showed that the inclusion of the additional DRR variable, measured 3-7 days after ICU admission, significantly increased the prediction performance in all studied prognosis prediction models.

Prognostic value of De Ritis ratio in patients with acute myocardial infarction

BACKGROUND

The association between aspartate aminotransferase to alanine aminotransferase ratio (De Ritis ratio) and prognosis of patients with acute myocardial infarction (AMI) remains poorly investigated.

METHODS

This study included 3000 patients with AMI undergoing percutaneous coronary intervention. Patients were categorized in groups according to tertiles of the De Ritis ratio: tertile 1 (De Ritis ratio < 1.11; 905 patients), tertile 2 (De Ritis ratio 1.11 to 1.95; 1003 patients) and tertile 3 (De Ritis ratio > 1.95; 1002 patients). The primary endpoint was 3-year all-cause mortality.

RESULTS

At 3 years, all-cause deaths occurred in 487 patients: 119 deaths (13.2%) in patients of 1st tertile, 164 deaths (17.8%) in patients of 2nd tertile and 204 deaths (21.9%) in patients of 3rd tertile of the De Ritis ratio (adjusted hazard ratio [HR] = 1.16, 95% confidence interval [CI] 1.02 to 1.31], P = 0.023 per unit increment in the logarithmic scale of the De Ritis ratio); cardiac deaths occurred in 328 patients: 76 deaths (8.2%) in patients of 1st tertile, 110 deaths (12.0%) in patients of 2nd tertile and 142 deaths (15.4%) in patients of 3rd tertile of the De Ritis ratio (adjusted HR = 1.20 [1.04-1.40], P = 0.014 per unit increment in the logarithmic scale of De Ritis ratio). The C-statistic of the multivariable model(s) with baseline data without and with De Ritis ratio was 0.822 [0.805-0.839] and 0.823 [0.805-0.840], (P = 0.419) for all-cause mortality and 0.831[0.811-0.852] and 0.832 [0.811-0.853], P = 0.621) for cardiac mortality.

CONCLUSIONS

In patients with AMI, elevated De Ritis ratio was associated with increased risk of 3-year mortality.

SARS-COV-ATE risk assessment model for arterial thromboembolism in COVID-19

Patients with SARS-CoV-2 infection are at an increased risk of cardiovascular and thrombotic complications conferring an extremely poor prognosis. COVID-19 infection is known to be an independent risk factor for acute ischemic stroke and myocardial infarction (MI). We developed a risk assessment model (RAM) to stratify hospitalized COVID-19 patients for arterial thromboembolism (ATE). This multicenter, retrospective study included adult COVID-19 patients admitted between 3/1/2020 and 9/5/2021. Among 3531 patients from the training cohort, 15.5% developed acute in-hospital ATE, including stroke, MI, and other ATE, compared to 13.4% in the validation cohort. The 16-item final score was named SARS-COV-ATE (Sex: male = 1, Age [40–59 = 2, > 60 = 4], Race: non-African American = 1, Smoking = 1 and Systolic blood pressure elevation = 1, Creatinine elevation = 1; Over the range: leukocytes/lactate dehydrogenase/interleukin-6, B-type natriuretic peptide = 1, Vascular disease (cardiovascular/cerebrovascular = 1), Aspartate aminotransferase = 1, Troponin-I [> 0.04 ng/mL = 1, troponin-I > 0.09 ng/mL = 3], Electrolytes derangement [magnesium/potassium = 1]). RAM had a good discrimination (training AUC 0.777, 0.756–0.797; validation AUC 0.766, 0.741–0.790). The validation cohort was stratified as low-risk (score 0–8), intermediate-risk (score 9–13), and high-risk groups (score ≥ 14), with the incidence of ATE 2.4%, 12.8%, and 33.8%, respectively. Our novel prediction model based on 16 standardized, commonly available parameters showed good performance in identifying COVID-19 patients at risk for ATE on admission.