A risk-predictive score for cardiogenic shock after acute myocardial infarction in Chinese patients

Cardiogenic Shock Classification and Associated Mortality Risk

The Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification was developed to create standardized language describing the severity of cardiogenic shock (CS). The purposes of this review were to evaluate short-term and long-term mortality rates at each SCAI shock stage for patients with or at risk for CS, which has not been studied previously, and to propose using the SCAI Shock Classification to develop algorithms for clinical status monitoring. A detailed literature search was conducted for articles published from 2019 through 2022 in which the SCAI shock stages were used to assess the mortality risk. In total, 30 articles were reviewed. The SCAI Shock Classification at hospital admission revealed a consistent and reproducible graded association between shock severity and mortality risk. Furthermore, shock severity correlated incrementally with mortality risk even after patients were stratified for diagnosis, treatment modalities, risk modifiers, shock phenotype, and underlying cause. The SCAI Shock Classification system can be used to evaluate mortality across populations of patients with or at risk for CS including those with different causes, shock phenotypes, and comorbid conditions. We propose an algorithm that uses clinical parameters incorporating the SCAI Shock Classification into the electronic health record to continually reassess and reclassify the presence and severity of CS across time throughout hospitalization. The algorithm has the potential to alert the care team and a CS team, leading to earlier recognition and stabilization of the patient, and may facilitate the use of treatment algorithms and prevent CS deterioration, leading to improved outcomes.

A Comprehensive Appraisal of Risk Prediction Models for Cardiogenic Shock

ABSTRACT

Despite advances in early revascularization, percutaneous hemodynamic support platforms, and systems of care, cardiogenic shock (CS) remains associated with a mortality rate higher than 50%. Several risk stratification models have been derived since the 1990 s to identify patients at high risk of adverse outcomes. Still, limited information is available on the differences between scoring systems and their relative applicability to both acute myocardial infarction and advanced decompensated heart failure CS. Thus, we reviewed the similarities, differences, and limitations of published CS risk prediction models and herein discuss their suitability to the contemporary management of CS care.

In-Hospital Outcome of Patients with Cardiogenic Shock Complicating Acute Myocardial Infarction: Results from Royal Hospital Percutaneous Coronary Intervention Registry, Oman

OBJECTIVES

Cardiogenic shock (CS) is still the leading cause of in-hospital mortality in patients presenting with acute myocardial infarction (AMI). The aim of this study was to determine the in-hospital mortality and clinical outcome in AMI patients presenting with CS in a tertiary hospital in Oman.

METHODS

This retrospective observational study included patients admitted to the cardiology department between January 2013 and December 2014. A purposive sampling technique was used, and 63 AMI patients with CS admitted to (36.5%) or transferred from a regional hospital (63.5%) were selected for the study.

RESULTS

Of 63 patients, 73% (n = 46) were Omani and 27% (n = 17) were expatriates: 79% were male and 21% were female. The mean age of patients was 60±12 years. The highest incidence of CS (30%) was observed in the 51-60 year age group. Diabetes mellitus (43%) and hypertension (40%) were the predominant risk factors. Ninety-two percent of patients had ST-elevation MI, 58.7% patients were thrombolysed, and 8% had non-ST-elevation MI. Three-quarters (75%) of CS patients had severe left ventricular systolic dysfunction (defined as ejection fraction <30%). Coronary angiogram showed single vessel disease in 17%, double vessel disease in 40%, and triple vessel disease in 32% and left main disease in 11%. The majority of the patients (93.6%) underwent percutaneous coronary intervention (PCI), among them 23 (36.5%) underwent primary PCI. In-hospital mortality was 52.4% in this study.

CONCLUSIONS

CS in AMI patients presenting to a tertiary hospital in Oman have high in-hospital mortality despite the majority undergoing PCI. Even though the in-hospital mortality is comparable to other studies and registries, there is an urgent need to determine the causes and find any remedies to provide better care for such patients, specifically concentrating on the early transfer of patients from regional hospitals for early PCI.

Prognostic value of admission blood glucose level in patients with and without diabetes mellitus who sustain ST segment elevation myocardial infarction complicated by cardiogenic shock

Introduction

Admission blood glucose (BG) level is a predictor of mortality in patients with ST-segment elevation myocardial infarction (STEMI). However, limited data are available relating admission BG to mortality in patients with STEMI complicated by cardiogenic shock, and it is not known whether diabetic status has an independent effect on this relationship.

Methods

Between November 2005 and September 2010, 816 STEMI patients with cardiogenic shock were enrolled in a nationwide, prospective, multi-center registry; 239 (29.3%) had diabetes mellitus (DM). Patients were categorized according to BG levels at admission: <7.8, 7.8–10.9, 11.0–16.5 and ≥ 16.6 mmol/L. The primary outcome was 30-day mortality. The added values of BG to the Thrombolysis in Myocardial Infarction (TIMI) and Global Registry of Acute Coronary Events (GRACE) scores were assessed by receiver operating characteristic curves and integrated discrimination improvement analyses.

Results

Thirty-day mortality was higher in patients with higher admission BG (20.4%, 23.3%, 39.8%, and 43.1% p < 0.001). Among non-diabetic patients, 30-day mortality was predicted by TIMI scores with a c-statistic of 0.615 (95% confidence interval [CI], 0.561–0.662) and GRACE scores with a c-statistic of 0.652 (95% CI, 0.604–0.695). Incorporation of admission BG increased the c-statistic for TIMI score to 0.685 (95% CI, 0.639–0.720, p < 0.001) and GRACE score to 0.708 (95% CI 0.664–0.742, p < 0.001). Additional predictive values for BG were not observed for diabetes. Integrated discrimination improvements (TIMI vs. additional BG and GRACE vs. additional BG) were 0.041 (p < 0.001) and 0.039 (p < 0.001) in non-diabetic patients.

Conclusions

In a cohort of patients with STEMI complicated by cardiogenic shock, admission BG was an independent predictor of increased risk of mortality only among patients without DM.

A methodology for prediction of acute hypotensive episodes in ICU via a risk scoring model including analysis of ST-segment variations

The aim of this study is to detect Acute Hypotensive Episodes (AHE) and Mean Arterial Pressure Dropping Regimes (MAPDRs) using ECG signal and Arterial Blood Pressure waveforms. To meet this end, the QRS complexes and end-systolic end-diastolic pulses are first extracted using two innovative Modified Hilbert Transform-Based algorithms namely as ECGMHT and BPMHT. A new smoothing algorithm is next developed based on piecewise polynomial fitting to smooth the fast fluctuations observed in RR-tachogram, systolic blood pressure (SBP) and diastolic blood pressure (DBP) trends. Afterwards, in order to consider the mutual influence of parameters on the evaluation of shock probability, a Sugeno Adaptive Network-based Fuzzy Inference System-ANFIS is trained using Hasdai et al. (J Am Coll Cardiol, 35: 136–143, 2000) parameters as input, with appropriate membership functions for each parameter. Using this network, it will be possible to incorporate the possible mutual influences between risk parameters such as heart rate, SBP, DBP, ST-segment episodes, age, gender, weight and some miscellaneous factors to the calculation of shock occurrence probability. In the next step, the proposed algorithm is applied to 15 subjects of the MIMIC II Database and AHE and MAPDRs (MAP ≤ 60 mmHg with a period of 30 min or more) are identified. As a result of this study, for a sequence of MAPDRs as long as 20 min or more, there will exist a consequent high peak with the duration of 3–4 min in the corresponding probability of cardiogenic shock diagram.

Parallel processing of ECG and blood pressure waveforms for detection of acute hypotensive episodes: a simulation study using a risk scoring model

The aim of this study is to detect acute hypotensive episodes (AHE) and mean arterial pressure dropping regimes (MAPDRs) using electrocardiographic (ECG) signals and arterial blood pressure waveforms. To meet this end, the QRS complexes and end-systolic end-diastolic pulses are first extracted using two innovative modified Hilbert transform-based algorithms, namely ECGMHT and BPMHT. The resulting systolic and diastolic blood pressure pulses are then used to calculate the MAP trend. A new smoothing algorithm is developed, next based on piecewise polynomial fitting (PPF) to smooth the fast fluctuations observed in RR-tachogram and MAP trends. PPF algorithm operates by sequentially fitting N number of polynomials to the original signal and calculating the corresponding coefficients using the best linear unbiased estimation approach. In the next step, the proposed algorithm is applied to 15 subjects of the MIMIC II Database and AHE and MAPDRs (MAP ≤ 60 mmHg with a period of 30 min or more) are identified. As a result of this study, MAPDR is realised as a specific marker of cardiogenic shock, in that for a sequence of MAPDRs as long as 20 min or more, there will exist a consequent high peak with a duration of 3-4 min in the corresponding probability of cardiogenic shock diagram.

ACAT2 and human hepatic cholesterol metabolism: identification of important gender-related differences in normolipidemic, non-obese Chinese patients

OBJECTIVE

ACAT2 is a major cholesterol esterification enzyme specifically expressed in hepatocytes and may control the amount of hepatic free (unesterified) cholesterol available for secretion into bile or into HDL. This study aims to further elucidate physiologic roles of ACAT2 in human hepatic cholesterol metabolism.

METHODS AND RESULTS

Liver biopsies from 40 normolipidemic, non-obese gallstone patients including some gallstone-free patients (female/male, 18/22) were collected and analyzed for microsomal ACAT2 activity, protein and mRNA expression. Plasma HDL-cholesterol (HDL-C) was significantly higher in females than in males, while triglycerides were significantly lower. ACAT2 activity in females was significantly lower than observed in males, regardless of the presence of gallstone disease. Moreover, the activity of ACAT2 correlated negatively with plasma levels of HDL-C (r=-0.57, P<0.05) and with Apo AI (r=-0.49, P<0.05).

CONCLUSION

This is the first description of a gender-related difference in hepatic ACAT2 activity in normolipidemic non-obese Chinese patients suggesting a possible role for ACAT2 in the regulation of cholesterol metabolism in humans. The negative correlation between ACAT2 activity and HDL-C or Apo AI may reflect this regulation. Since ACAT2 activity generally has been found to be pro-atherogenic in animal models, the observed sex-related difference may contribute to female protection from complications of coronary heart disease (CHD).