Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients.

BACKGROUND: The Shock Index Creatinine (SIC) scoring is a recently developed tool for risk stratification patients. These updated scoring was already used in ST-Elevation Myocardial Infarction (STEMI) patients. However its utility in predicting outcomes for patients with Acute Coronary Syndrome (ACS) remains unclear. This study aims to evaluate and update the current SIC score to predict in-hospital mortality among patients with ACS. PATIENTS AND METHODS: A retrospective cohort, Single-centered study enrolled 1349 ACS patients aged ≥ 18 years old diagnosed with ACS was conducted between January 2018 to January 2022 who met for inclusion and exclusion criteria. Study subjects were analyzed for in-hospital mortality and evaluated using binary linear regression analysis. The area under the curve (AUC) of SIC score was obtain to predict the sensitivity and specificity. RESULTS: Multivariate analysis showed that SIC score was significantly associated with in-hospital mortality. High SIC score (SIC ≥ 25) had significantly higher in-hospital mortality (p < 0.001) with odds ratio for (95% CIs) were 2.655 (1.6-4.31). Receiver operating characteristics (ROC) curve analysis determine the predictive power of SIC score for in-hospital mortality. SIC had an acceptable predictive value for in-hospital mortality (AUC = 0.789, 95% CI: 0.748-0.831, p < 0.001). The SIC score for sensitivity and specificity were, respectively, 71.5% and 74.4%, with optimal cutoff of SIC ≥ 25. CONCLUSION: SIC had acceptable predictive value for in-hospital mortality in patients with all ACS spectrums. SIC was a useful parameter for predicting in-hospital mortality, particularly with a score ≥ 25. This is the first study to evaluate SIC in all spectrums of ACS.

A Revised PADMA Scoring System for Predicting in-Hospital Mortality in Acute Coronary Syndrome Patient.

Background: In order to predict in-hospital mortality in ACS (Acute Coronary Syndrome) patients based solely on clinical examination, this study compares the shock index (heart rate divided by systolic blood pressure) variable in PADMA (PADjadjaran Mortality in Acute Coronary Syndrome) with the modified shock index (heart rate divided by mean arterial pressure) score. The predictive efficacy of the PADMA score in predicting in-hospital mortality in ACS patients has been in doubt up until recently. Methods: All ACS patients above the age of 18 who were admitted to Dr. Hasan Sadikin Central General Hospital between January 2018 and January 2023 were included in this retrospective observational cohort study. This study did not involve any interventions, and verbal informed permission was obtained with the Hasan Sadikin Hospital Ethic Committee's approval. Multivariate logistic regression was used to gather and evaluate patient demographic, comorbidity, and clinical presentation data in order to provide two scoring systems (probability and cut-off models) that can be used to predict in-hospital all-cause death. The Fisher Z test was used to assess the area under the curve (AUC) between the PADMA SI (shock index) and PADMA MSI (modified shock index). Results: Killip classifications III and IV, tachycardia, a high shock index, and older age were found to be independent mortality predictors and were included to the PADMA MSI score by multivariate regression analysis of 1504 people. PADMA SI score >8 has a sensitivity of 67.92% and a specificity of 84.01% for predicting all-cause death. The range of the PADMA SI score is 0 to 19. The AUC between the PADMA MSI and PADMA SI scores did not differ significantly (p=0.022). Conclusion: Similar to the PADMA SI score, the PADMA MSI score >8 demonstrated an accurate discriminative power to forecast in-hospital mortality though it did not have significant statistic difference.

Statistical findings and outcomes of acute coronary syndrome patients during COVID-19 pandemic: A cross sectional study.

Introduction: Time to treatment of acute coronary syndrome (ACS) can be a matter of life or death considering its major contribution to cardiovascular mortality. The sudden outbreak of the Coronavirus Disease in 2019 (COVID-19) caused great uncertainty in achieving ACS time-frame goals. This study assesses ACS presentation time and outcomes before and during the COVID-19 pandemic. Methods: A total of 1287 ACS patients were included in this cross-sectional study. We compared mortality and other outcomes during hospital admission. Before-COVID was deemed as admission between March 2018 and February 2020, while admission between March 2020 and February 2022 was deemed as during-COVID. The association of admission on outcomes was measured using regression statistics. Results: There was a 51.2 % decline of total patients before-COVID (865 patients) to during-COVID (422 patients). While there is no difference in first medical contact (FMC) before [3 h (IQR 1-7)] compared to during the pandemic [3 h (IQR 2-9), p 0.058], we found a decrease in door to wire time < 12 h (43.41 % vs 18.98 %, p < 0.001). There was also a non-significant decrease in fibrinolysis (20.45 % vs 15.18 %, p 0.054) but an increase in those undergoing percutaneous coronary intervention (PCI) (58.36 % vs 77.04 %, p value < 0,001). We also found reduced mortality (12.52 % vs 9.69 %, p 0.151), heart failure (28.16 % vs 25.81 %, p 0.31), but more cardiogenic shock during the pandemic (9.19 % vs 13.33 %, p 0.028). Conclusions: While the mortality seems statistically unaffected, we found less admission and prolonged door to wire time during-COVID pandemic.

Investigation of High-Risk Electrocardiographic Markers as Predictors of Major Arrhythmic Events in Brugada Syndrome: A Systematic Review and Meta-analysis.

Numerous studies have demonstrated that a type I Brugada electrocardiographic (ECG) pattern, history of syncope, prior sudden cardiac arrest, and previously documented ventricular tachyarrhythmias are still insufficient to stratify the risk of sudden cardiac death in Brugada syndrome (BrS). Several auxiliary risk stratification parameters are pursued to yield a better prognostic model. Our aim was to assess the association between several ECG markers (wide QRS, fragmented QRS, S-wave in lead I, aVR sign, early repolarization pattern in inferolateral leads, and repolarization dispersion pattern) with the risk of developing poor outcomes in BrS. A systematic literature search from several databases was conducted from database inception until August 17th, 2022. Studies were eligible if it investigated the relationship between the ECG markers with the likelihood of acquiring major arrhythmic events (MAE). This meta-analysis comprised 27 studies with a total of 6552 participants. Our study revealed that wide QRS, fragmented QRS, S-wave in lead I, aVR sign, early repolarization pattern in inferolateral leads, and repolarization dispersion ECG pattern were associated with the incremental risk of syncope, ventricular tachyarrhythmias, implantable cardioverter-defibrillator shock, and sudden cardiac death in the future, with the risk ratios ranging from 1.41 to 2.00. Moreover, diagnostic test accuracy meta-analysis indicated that the repolarization dispersion ECG pattern had the highest overall area under curve (AUC) value amid other ECG markers regarding our outcomes of interest. A multivariable risk assessment approach based on the prior mentioned ECG markers potentially improves the current risk stratification models in BrS patients.

Role of N-terminal pro-B type natriuretic peptide as a predictor of poor outcomes in patients with HFrEF receiving primary prevention implantable cardioverter-defibrillator therapy: a systematic review and dose-response meta-analysis.

INTRODUCTION: Several studies have demonstrated that combining left ventricular ejection fraction and New York Heart Association functional class is insufficient for predicting risk of appropriate implantable cardioverter-defibrillator (ICD) shock in primary prevention candidates. Hence, our aim was to assess the relationship between N-terminal pro-B type natriuretic peptide (NT-pro BNP) along with appropriate ICD shock and all-cause mortality in order to improve the stratification process of patients with heart failure with reduced ejection fraction (HFrEF) being considered for primary preventive ICD therapy. METHODS: A systematic literature search from several databases was conducted up until 9 June 2022. Studies were eligible if they investigated the relationship of NT-pro BNP with all-cause mortality and appropriate ICD shock. RESULTS: This meta-analysis comprised nine studies with a total of 5117 participants. Our study revealed that high levels of NT-pro BNP were associated with all-cause mortality (HR=2.12 (95% CI=1.53 to 2.93); p<0.001, I2=78.1%, p<0.001 for heterogeneity) and appropriate ICD shock (HR=1.71 (95% CI=1.18 to 2.49); p<0.001, I2=43.4%, p=0.102 for heterogeneity). The adjusted HR for all-cause mortality and appropriate ICD shock increased by approximately 3% and 5%, respectively per 100 pg/mL increment pursuant to concentration-response model (Pnon-linearity <0.001). The curves became steeper after NT-pro BNP reached its inflection point (3000 pg/mL). CONCLUSION: A positive concentration-dependent association between elevated NT-pro BNP levels along with the risk of all-cause mortality and appropriate ICD shock was found in patients with HFrEF with ICD. PROSPERO REGISTRATION NUMBER: CRD42022339285.

Relation Between Glycemic Control and Cardiac Autonomic Neuropathy in Patients With Diabetes Mellitus Type 2.

BACKGROUND: Glycemic control is very important in type 2 diabetic patients. Microangiopathy is the first chronic complications in type 2 diabetic patients. Cardiac autonomic neuropathy can be used as a tool for early detection of complication in type 2 diabetic that relates well with cardiovascular morbidity and mortality. The aim of this study was to analyze the correlation between glycemic control and cardiac autonomic neuropathy in type 2 diabetic patients. METHODS: It was an observational cross sectional with correlative analysis conducted on type 2 diabetic at Hasan Sadikin hospital within July until August 2019. Value of HbA1c, fasting plasma glucose, and post prandial plasma glucose within 2 years were obtained with NGSP standard of examination. Cardiac autonomic neuropathy was assessed by Cardiovascular Autonomic Reflex Testing's (CARTs) with Bellevere scoring system. RESULT: The research was conducted on 39 subjects with mean age 56 ± 7,05 years (48,7% males and 51,3% women). Median value of the last HbA1c was 7,6% (5,2%-12,9%) and mean HbA1c in the last 2 years was 8,1 ± 1,88%. Median CARTs score was 5 (1-8). Rank-Spearman correlation analysis showed significant moderately positive correlation between HbA1c and CARTs score (r = 0,454, CI 95% 0,187-0,772, P = 0,004) and also mean HbA1c within the last 2 years with CARTs score (r = 0,564, IK 95% 0,289-0,839, P = 0,000). Multivariate analysis, mean HbA1c remained correlated significantly with CARTs score even after adjustment toward age, gender, duration of diabetes, and diabetic therapy. CONCLUSION: There is significant moderately positive correlation between glycemic control and cardiac autonomic neuropathy in type 2 diabetic patients.

The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method.

This study aims to determine the performance of variational mode decomposition (VMD) combined with detrended fluctuation analysis (DFA) as a hybrid framework for extracting seismocardiogram and respiration signals from simulated single-channel accelerometry data and removing its contained noise. The method consists of two consecutive layers of VMD that each contribute to extracting respiration and SCG signal respectively. DFA is utilized to determine the number of modes produced by VMD and select the most appropriate modes to be the constituents of the reconstructed signal based on the Hurst exponent value thresholding. This hybridized VMD successfully extracted respiration and SCG signal with minimal mean absolute error value (0.516 and 0.849, respectively) and boosted the SNR to 2 dB and 4 dB, respectively in heavily noise-interfered conditions. This method also outperformed other empirical mode decomposition strategies and exhibits short computational time. Two main drawbacks exist in this framework, i.e. the determination of balancing parameter ( γ ) that is still conducted manually and the magnitude shifting phenomenon. In conclusion, the hybridized VMD shows an outstanding performance in denoising and extracting respiration and SCG signals from a single input that combines them and generally is impured by noise.

Correction to: The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method.

[This corrects the article DOI: 10.1007/s13534-022-00235-x.].

Novel scoring system based on clinical examination for prediction of in-hospital mortality in acute coronary syndrome patients: a retrospective cohort study.

BACKGROUND: This study aims to develop PADjadjaran Mortality in Acute coronary syndrome (PADMA) Score to predict in-hospital mortality in acute coronary syndrome (ACS) patients based on clinical examination only. Additionally, we also compared the predictive value of the PADMA Score with the Global Registry of Acute Coronary Events (GRACE), Canada Acute Coronary Syndrome (C-ACS), and The Portuguese Registry of Acute Coronary Syndromes (ProACS) risk scores. METHODS: This retrospective cohort study included all ACS patients aged≥18 years who were admitted to Dr. Hasan Sadikin Central General Hospital from January 2018 to January 2022. Patients' demographic, comorbidities and clinical presentation data were collected and analysed using multivariate logistic regression to create two models of scoring system (probability and cut-off model) to predict in-hospital all-cause mortality. The area under the curve (AUC) among PADMA, GRACE, C-ACS and ProACS risk scores was compared using the fisher Z test. RESULTS: Multivariate regression analysis of 1359 patients showed that older age, history of cerebrovascular disease, tachycardia, high Shock Index and Killip class III and IV were independent mortality predictors and included in the PADMA Score. PADMA Score ranged from 0 to 20, with a score≥5 that can predict all-cause mortality with 82.78% sensitivity and 72.35% specificity. The difference in AUC between PADMA and GRACE scores was insignificant (p=0.126). Moreover, the AUC of the PADMA Score was significantly higher compared with the C-ACS (p=0.002) and ProACS risk scores (p<0.001). CONCLUSION: PADMA Score is a simple scoring system to predict in-hospital mortality in ACS patients. PADMA Score≥5 showed an accurate discriminative capability to predict in-hospital mortality, comparable with the GRACE Score and superior to C-ACS and ProACS scores.

Metabolically unhealthy phenotype in normal weight population and risk of mortality and major adverse cardiac events: A meta-analysis of 41 prospective cohort studies.

BACKGROUND AND AIMS: It is still debatable whether metabolic status in normal weight population increases the risk of mortality (all-cause mortality (ACM), cardiovascular mortality (CVM)) and major adverse cardiac events (MACE) as compared to the obese population. Therefore, this meta-analysis aims to evaluate the association of the metabolically unhealthy normal weight (MUH-NW) phenotype with all-cause mortality, cardiovascular mortality, and MACE in comparison to metabolically healthy obesity (MH-O), along with the association of metabolically unhealthy obesity (MUH-O) phenotype regarding the same outcomes compared to MUH-NW. METHODS: A systematic literature search was conducted using online databases from inception to June 20, 2022, to comprehensively search all prospective cohort studies comprising three variables including adults aged ≥18 years, obesity and four metabolic phenotypes, and interest outcomes (ACM, CVM, and MACE). RESULTS: Forty-one prospective cohort studies with a total of 4,028,750 participants was included in this study. Compared to MH-O, MUH-NW had a substantially higher risk of ACM (RR = 1.47 (95%CI = 1.32-1.64); P < 0.001; I2 = 89.8%,P-heterogeneity<0.001), CVM (RR = 2.37 (95%CI = 1.97-2.86); P < 0.001; I2 = 83.7%,P-heterogeneity<0.001), and MACE (RR = 1.73 (95%CI = 1.49-2.00); P < 0.001; I2 = 74.3%,P-heterogeneity<0.001). Moreover, MUH-O did not have a significantly elevated risk of ACM (RR = 0.97 (95%CI = 0.82-1.15); P = 0.736; I2 = 98.3%,P-heterogeneity<0.001), CVM (RR = 0.96 (95%CI = 0.88-1.05); P = 0.394; I2 = 77.0%,P-heterogeneity<0.001), and MACE (RR = 0.95 (95%CI = 0.80-1.13); P = 0.570; I2 = 92.2%,P-heterogeneity<0.001) compared to MUH-NW. CONCLUSION: In conclusion, MUH-NW was superior but not inferior to MH-O and MUH-O in terms of increased risk of interest outcomes, refuting the notion that normal weight population is a benign condition. Hence, in normal weight population, metabolic screening is highly suggested to measure the baseline of obesity and metabolic phenotypes, thus preventing the risk of CVD and mortality in the future.

Revisiting exercise-induced premature ventricular complexes as a prognostic factor for mortality in asymptomatic patients: A systematic review and meta-analysis.

Background: Recent investigations suggest that premature ventricular complexes (PVCs) during an exercise test are associated with an elevated risk of mortality in asymptomatic individuals. However, given the small number of studies included, the association between these two entities in the asymptomatic population remains obscure. Our aim was to evaluate this matter. Methods: A comprehensive literature search was conducted utilizing several online databases up to April 2022. The study comprised cohort studies examining the relationship between exercise-induced premature ventricular complexes (EI-PVCs) and all-cause mortality (ACM) as well as cardiovascular mortality (CVM) in asymptomatic populations. To provide diagnostic values across the statistically significant parameters, we additionally calculated sensitivity, specificity, and area under the curve (AUC). Results: A total of 13 studies consisting of 82,161 patients with a mean age of 49.3 years were included. EI-PVCs were linked to an increased risk of ACM (risk ratio (RR) = 1.30 (95% confidence interval (CI) = 1.18-1.42); p < 0.001; I 2 = 59.6%, p-heterogeneity < 0.001) and CVM (RR = 1.67 (95% CI = 1.40-1.99); p < 0.001; I 2 = 7.5%, p-heterogeneity = 0.373). Subgroup analysis based on the frequency of PVCs revealed that frequent PVCs were similarly related to a higher risk of ACM and CVM, but not infrequent PVCs. Moreover, diagnostic test accuracy meta-analysis showed that recovery phase EI-PVCs have a higher overall specificity than exercise phase EI-PVCs regarding our outcomes of interest. Conclusion: EI-PVCs are correlated with a higher risk of ACM and CVM. When compared to the exercise phase, the specificity of PVCs generated during the recovery period in predicting interest outcomes is higher. As a result, we propose that the exercise ECG be utilized on a regular basis in middle-aged asymptomatic individuals to measure the frequency of PVCs and stratify the risk of mortality. Systematic review registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=328852], identifier [CRD42022328852].

Predictors of In-Hospital Mortality in Patients with Acute Coronary Syndrome in Hasan Sadikin Hospital, Bandung, Indonesia: A Retrospective Cohort Study.

BACKGROUND: Acute coronary syndrome (ACS) is a world health problem with a high mortality rate and is expected to continue to rise in number. The high ACS mortality rate in the hospital is influenced by demographic characteristics, cardiovascular risk factors, clinical presentation, and management. This study aimed to determine the predictors of ACS death at Dr. Hasan Sadikin Hospital Bandung as the highest referral center in West Java. METHODS: This study is a retrospective cohort study on all ACS patients undergoing treatment at Dr. Hasan Sadikin Hospital Bandung from January 2018 to December 2019. Multivariate analysis was performed using a logistic regression test with the backward method to assess predictors of patient outcomes. RESULTS: This study involved 919 patients with the in-hospital mortality rate was 10.6%. Multivariate analysis showed that age >65 years was a demographic factor that play a role as a predictor of mortality mortality (AOR 2.143; 95% CI = 1.079-4.256; p = 0.030). Clinical presentation of cardiac arrest arrest (AOR 48.700; 95% CI =14.289-165.980; p<0.001), SBP <90 mmHg (AOR: 4.972; 95% CI =1.730-14.293; p=0.003, heart rate >100 beats per minute (AOR 4.285; 95% CI =2.209-8.310; p<0,001), cardiogenic shock (AOR: 5.433; 95% CI= 2.257-13.074; p<0.001). Cardiovascular management can reduce the risk of in-hospital mortality. Multivariate analysis showed statins (AOR 0.155; 95% CI=0.040-0.594; p=0.007), beta blockers (AOR 0.304; 95% CI=0.162-0.570; p<0,001) and Percutaneous Coronary Intervention (AOR 0.352; 95% CI=0.184-0.673; p=0.002) significantly reduce in-hospital mortality. Interestingly, smoking is associated with a lower mortality rate (OR 0.387; p <0.001). CONCLUSION: Clinical presentation of cardiac arrest has the highest risk of death, the sequence is cardiogenic shock, heart rate >100 beats per minute, and age >65 years. Administration of statins, beta-blockers, PCI, and smoking are factors that reduce the risk of death.

Electrocardiographic Markers Indicating Right Ventricular Outflow Tract Conduction Delay as a Predictor of Major Arrhythmic Events in Patients With Brugada Syndrome: A Systematic Review and Meta-Analysis.

Introduction: Risk stratification in Brugada Syndrome (BrS) patients is still challenging due to the heterogeneity of clinical presentation; thus, some additional risk markers are needed. Several studies investigating the association between RVOT conduction delay sign on electrocardiography (ECG) and major arrhythmic events (MAE) in BrS patients showed inconclusive results. This meta-analysis aims to evaluate the association between RVOT conduction delay signs presented by aVR sign and large S wave in lead I, and MAE in BrS patients. Methods: The literature search was performed using several online databases from the inception to March 16th, 2022. We included studies consisting of two main components, including ECG markers of RVOT conduction delay (aVR sign and large S wave in lead I) and MAE related to BrS (syncope/VT/VF/SCD/aborted SCD/appropriate ICD shocks). Results: Meta-analysis of eleven cohort studies with a total of 2,575 participants showed RVOT conduction delay sign was significantly associated with MAE in BrS patients [RR = 1.87 (1.35, 2.58); p < 0.001; I 2= 52%, P heterogeneity = 0.02]. Subgroup analysis showed that aVR sign [RR = 2.00 (1.42, 2.83); p < 0.001; I 2= 0%, P heterogeneity = 0.40] and large S wave in lead I [RR = 1.74 (1.11, 2.71); p = 0.01; I 2= 60%, P heterogeneity = 0.01] were significantly associated with MAE. Summary receiver operating characteristics analysis revealed the aVR sign [AUC: 0.77 (0.73-0.80)] and large S wave in lead I [AUC: 0.69 (0.65-0.73)] were a good predictor of MAE in BrS patients. Conclusion: RVOT conduction delay sign, presented by aVR sign and large S wave in the lead I, is significantly associated with an increased risk of MAE in BrS patients. Hence, we propose that these parameters may be useful as an additional risk stratification tool to predict MAE in BrS patients. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/#recordDetails, identifier: CRD42022321090.

Modified Shock Index as Simple Clinical Independent Predictor of In-Hospital Mortality in Acute Coronary Syndrome Patients: A Retrospective Cohort Study.

Introduction: Despite being the current most accurate risk scoring system for predicting in-hospital mortality for patients with acute coronary syndrome (ACS), the Global Registry of Acute Coronary Events (GRACE) risk score is time consuming due to the requirement for electrocardiography and laboratory examinations. This study is aimed to evaluate the association between modified shock index (MSI), as a simple and convenient index, with in-hospital mortality and revascularization in hospitalized patients with ACS. Methods: A single-centered, retrospective cohort study, involving 1,393 patients with ACS aged ≥ 18 years old, was conducted between January 2018 and January 2022. Study subjects were allocated into two cohorts: high MSI ≥ 1 (n = 423) and low MSI < 1 group (n = 970). The outcome was in-hospital mortality and revascularization. The association between MSI score and interest outcomes was evaluated using binary logistic regression analysis. The area under the curve (AUC) between MSI and GRACE score was compared using De Long's method. Results: Modified shock index ≥ 1 had 61.1% sensitivity and 73.7% specificity. A high MSI score was significantly and independently associated with in-hospital mortality in patients with ACS [odds ratio (OR) = 2.72(1.6-4.58), p < 0.001]. However, ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) patients with high MSI did not significantly increase the probability of revascularization procedures. Receiver operating characteristic (ROC) analysis demonstrated that although MSI and GRACE scores were both good predictors of in-hospital mortality with the AUC values of 0.715 (0.666-0.764) and 0.815 (0.775-0.855), respectively, MSI was still inferior as compared to GRACE scores in predicting mortality risk in patients with ACS (p < 0.001). Conclusion: Modified shock index, particularly with a score ≥ 1, was a useful and simple parameter for predicting in-hospital mortality in patients presenting with ACS.