Impact of Isolated Coronary Microvascular Disease Diagnosed Using Various Measurement Modalities on Prognosis: An Updated Systematic Review and Meta-Analysis.

INTRODUCTION: The main aim of this study was to investigate the impact of isolated coronary microvascular disease (CMD) as diagnosed via various modalities on prognosis. METHODS: A systematic literature review of PubMed, Embase, and Cochrane Library databases was conducted to identify relevant studies published up to March 2023. Included studies were required to measure coronary microvascular function and report outcomes in patients without obstructive coronary artery disease (CAD) or any other cardiac pathological characteristics. The primary endpoint was all-cause mortality, and the secondary endpoint was a major adverse cardiac event (MACE). Pooled effects were calculated using random effects models. RESULTS: A total of 27 studies comprising 18,204 subjects were included in the meta-analysis. Indices of coronary microvascular function measurement included coronary angiography-derived index of microcirculatory resistance (caIMR), hyperemic microcirculatory resistance (HMR), coronary flow reserve (CFR), and so on. Patients with isolated CMD exhibited a significantly higher risk of mortality (OR: 2.97, 95% CI, 1.91-4.60, p < 0.0001; HR: 3.38, 95% CI, 1.77-6.47, p = 0.0002) and MACE (OR: 5.82, 95% CI, 3.65-9.29, p < 0.00001; HR: 4.01, 95% CI, 2.59-6.20, p < 0.00001) compared to those without CMD. Subgroup analysis by measurement modality demonstrated consistent and robust pooled effect estimates in various subgroups. CONCLUSION: CMD is significantly associated with an elevated risk of mortality and MACE in patients without obstructive CAD or any other identifiable cardiac pathologies. The utilization of various measurement techniques may have potential advantages in the management of isolated CMD.

Predictability of noninvasive liver fibrosis score for cardiac events in patients with nonalcoholic fatty liver disease.

BACKGROUND AND AIMS: Patients with nonalcoholic fatty liver disease (NAFLD) have a higher risk of cardiac events. However, although the severity of liver fibrosis is related to worsening prognosis in patients with NAFLD, it is unclear whether the noninvasive liver fibrosis score has a predictive value for cardiac events. METHODS AND RESULTS: We evaluated 4071 patients with NAFLD diagnosed using ultrasonography. Liver fibrosis was assessed and divided into three groups based on the Fibrosis-4 (FIB4) index and NAFLD fibrosis score (NFS). The primary outcome of this study was major adverse cardiac events (MACE), including cardiac death, nonfatal myocardial infarction, and revascularization due to coronary artery disease. The median age of the evaluated patients was 61 (52-69) years, and 2201 (54.1%) were male. During the median follow-up period of 6.6 years, 179 (4.4%) patients experienced MACE. Kaplan-Meier survival analysis demonstrated that MACE increased progressively with the FIB4 index (log-rank, p < 0.001) and NFS (log-rank, p < 0.001). Multivariable analysis showed that the higher the FIB4 index, the higher the risk for MACE (low group as reference vs. intermediate group, hazard ratio [HR]: 1.860 [95% confidence interval (CI), 1.326-2.610; p < 0.001]; vs. high group, HR:3.325 [95% CI, 2.017-5.479; p < 0.001]), as well as NFS (low NFS group as reference vs. intermediate group, HR: 1.938 [95% CI, 1.391-2.699; p < 0.001]; vs. high group, HR: 3.492 [95% CI, 1.997-6.105; p < 0.001]). CONCLUSIONS: The FIB4 index and NFS are associated with the probability of MACE in patients with NAFLD. CLINICAL TRIALS: The study design was approved by the ethics review board of Ogaki Municipal Hospital (approval number: 20221124-12, registration date: November 28th, 2022). https://www.ogaki-mh.jp/chiken/kenkyu.html.

The ability and optimal cutoff value of serum cell division cycle 42 in estimating major adverse cardiac event in STEMI patients treated with percutaneous coronary intervention.

Cell division cycle 42 (CDC42) regulates cholesterol efflux, chronic inflammation, and reendothelialization in various atherosclerotic diseases. This study aimed to investigate the correlation of serum CDC42 with myocardial injury indicators and major adverse cardiac event (MACE) in ST-elevation myocardial infarction (STEMI) patients who were treated with percutaneous coronary intervention (PCI). In 250 STEMI patients about to receive PCI, serum samples were collected at enrollment before PCI treatment, and the serum samples were also obtained from 100 healthy controls (HCs) at enrollment. Serum CDC42 was detected by enzyme-linked immunosorbent assay. Serum CDC42 was decreased (versus HCs, P < 0.001) and negatively correlated with diabetes mellitus (P = 0.017), multivessel disease (P = 0.016), cardiac troponin I (P < 0.001), creatine kinase MB (P = 0.012), stent diameter ≥ 3.5 mm (P = 0.039), white blood cell (P < 0.001), low-density lipoprotein cholesterol (P = 0.049), and C-reactive protein (P < 0.001) in STEMI patients. Besides, 29 (11.6%) STEMI patients experienced MACE. The 1-year, 2-year, and 3-year accumulating MACE rates were 7.5%, 17.3%, and 19.3%, accordingly. Serum CDC42 was reduced in STEMI patients who experienced MACE compared to those who did not (P = 0.001). Serum CDC42 ≥ 250 pg/mL, ≥ 400 pg/mL, ≥ 700 pg/mL (cut by near integer value of 1/4th quartile, median, and 3/4th quartile) were associated with decreased accumulating MACE rates in STEMI patients (all P < 0.050). Notably, serum CDC42 ≥ 250 pg/mL (hazard ratio = 0.435, P = 0.031) was independently related to reduced accumulating MACE risk in STEMI patients. A serum CDC42 level of ≥ 250 pg/mL well predicts decreased MACE risk in STEMI patients who are treated with PCI.

Assessing risk of major adverse cardiac events among patients with chest pain and cocaine use using the HEART score.

INTRODUCTION: Chest pain (CP), a common presentation in the emergency department (ED) setting, is associated with significant morbidity and mortality if emergency clinicians miss the diagnosis of acute coronary syndrome (ACS). The HEART (History, Electrocardiogram, Age, Risk Factors, Troponin) score had been validated for risk-stratification patients who are at high risk for ACS and major adverse cardiac events (MACE). However, the use of cocaine as a risk factor of the HEART score was controversial. We hypothesized that patients with cocaine-positive (COP) would not be associated with higher risk of 30-day MACE than cocaine-negative (CON) patients. METHODS: This retrospective study included adult patients who presented to 13 EDs of a University's Medical System between August 7, 2017 to August 19, 2021. Patients who had CP and prospectively calculated HEART scores and urine toxicology tests as part of their clinical evaluation were eligible. Areas Under The Receiver Operating Curve (AUROC) were calculated for the performance of HEART score and 30-day MACE for each group. RESULTS: This study analyzed 46,210 patients' charts, 663 (1.4%) were COP patients. Mean age was statistically similar between groups but there were fewer females in the COP group (26.2% vs 53.2%, p < 0.001). Mean (+/- SD) HEART score was 3.7 (1.4) comparing to 3.1 (1.8, p < 0.001) between COP vs CON groups, respectively. Although more COP patients (54%) had moderate HEART scores (4-6) vs. CON group (35.2%, p < 0.001), rates of 30-day MACE were 1.1% for both groups. HEART score's AUROC was 0.72 for COP and 0.78 for CON groups. AUROC for the Risk Factor among COP patients, which includes cocaine, was poor (0.54). CONCLUSION: This study, which utilized prospective calculated HEART scores, demonstrated that overall performance of the HEART score was reasonable. Specifically, our analysis showed that the rate of 30-day MACE was not affected by cocaine use as a risk factor. We would recommend clinicians to consider the HEART score for this patient group.

Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients.

At the emergency department (ED), it is important to quickly and accurately determine which patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) models can be used to aid physicians in detecting MACE, and improving the performance of such models is an active area of research. In this study, we sought to determine if ML models can be improved by including a prior electrocardiogram (ECG) from each patient. To that end, we trained several models to predict MACE within 30 days, both with and without prior ECGs, using data collected from 19,499 consecutive patients with chest pain, from five EDs in southern Sweden, between the years 2017 and 2018. Our results indicate no improvement in AUC from prior ECGs. This was consistent across models, both with and without additional clinical input variables, for different patient subgroups, and for different subsets of the outcome. While contradicting current best practices for manual ECG analysis, the results are positive in the sense that ML models with fewer inputs are more easily and widely applicable in practice.

Prognostic Significance of Biventricular and Biatrial Strain in Dilated Cardiomyopathy: Strain Analysis Derived from Cardiovascular Magnetic Resonance.

Background: Dilated cardiomyopathy (DCM) has a poor prognosis and high mortality. The relationship between the deformation capacity of the biatrial and biventricular regions in patients with DCM remains unclear. Methods: This retrospective study used cardiovascular magnetic resonance (CMR) to assess patient enrollment between September 2020 to May 2022. Feature tracking (FT) was used to evaluate biventricular global radial strain (GRS), global circumferential strain (GCS) and global longitudinal strain (GLS). Fast long-axis method was used to evaluate biatrial GLS by analyzing balanced steady-state free precession cine images. The median follow-up period was 362 days (interquartile range: 234 to 500 days). DCM patients were divided into two groups based on the occurrence or non-occurrence of major adverse cardiac event (MACE). The primary endpoint was defined as all-cause death, heart transplantation, and adverse ventricular arrhythmia. The secondary end point included hospitalizations due to heart failure. Cox regression analysis was utilized for variables and Kaplan-Meier survival was utilized for clinical outcomes. Results: There were 124 DCM patients (52.82 ± 12.59 years, 67.74% male) and 53 healthy volunteers (53.17 ± 14.67 years, 52.83% male) recruited in this study. Biventricular GRS, GCS, GLS, and biatrial GLS were significantly impaired in the DCM group compared with the healthy group. In receiver-operating characteristic curve, biatrial GLS and biventricular GRS, GCS, and GLS showed significant prognostic value in predicting MACEs (all p < 0.05). In multivariate Cox regression analysis, left ventricular (LV) GLS offered a significant and independent prognostic value surpassing other CMR parameters in predicting MACE. In Kaplan-Meier analysis, patients with a LV GLS > -4.81% had a significantly higher rate of MACE (Log-rank p < 0.001). Conclusions: LV GLS was independently associated with MACEs in DCM patients by using FT and fast long-axis method derived from CMR. Comprehensive CMR examination including biatrial and biventricular functions should be systematically performed, to understand disease characteristics, as well as improve the risk stratification and therapeutic management for patients with DCM.

Assessment of the Prognostic Value of MRI Left Ventricular Global Function Index (LVGFI) in Patients With End-Stage Renal Disease Under Maintenance Dialysis.

BACKGROUND: Left ventricular global function index (LVGFI) integrates LV volumetric and functional parameters. In patients with end-stage renal disease (ESRD), cardiac injury manifests as LV hypertrophy and dysfunction. However, the prognostic value of LVGFI in this population remains unclear. PURPOSE: To investigate the association of LVGFI with major adverse cardiac events (MACE) in patients with ESRD. STUDY TYPE: Prospective. POPULATION: One hundred fifty-eight ESRD patients (mean age: 54.1 ± 14.4 years; 105 male) on maintenance dialysis. FILED STRENGTH/SEQUENCE: 3.0 T, balanced steady-state free precession (bSSFP) cine and modified Look-Locker inversion recovery (MOLLI) sequences. ASSESSMENT: LV volumetric and functional parameters were determined from bSSFP images. LVGFI was calculated as the ratio of stroke volume to global volume and native T1 was determined from MOLLI T1 maps. MACE was recorded on follow up. Models were developed to predict MACE from conventional risk factors combined with LVGFI, GLS, native T1, and LV mass index (LVMI), respectively. Subgroup analyses were further performed in participants with LVEF above median. STATISTICAL TESTS: Cox proportional hazard regression and log-rank test were used to investigate the association between LVGFI and MACE. The predictive models were evaluated and compared using Harrell's C-statistics and DeLong tests. A P value <0.05 was considered statistically significant. RESULTS: Thirty-four MACE occurred during the median follow-up period of 26 months. The hazard of MACE increased by 114% for each 10% decrease in LVGFI in univariable analysis. The predictive model consisting of LVGFI (C-statistic: 0.724) had significantly better predictive performance than the others (all P < 0.001). These results were consistent in patients (N = 79) with LVEF > median (63.54%). DATA CONCLUSION: LVGFI is a novel marker for MACE risk stratification in patients with ESRD and was better able to predict MACE than native T1 mapping and GLS. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 3.

Prognostic Value of Novel Natriuretic Peptide Index After Percutaneous Coronary Intervention.

BACKGROUND: The predictive value of both atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP) is well known. This study evaluated the prognostic value of a novel natriuretic peptide index (NPI) combining ANP and BNP. Methods and Results: This study included 849 consecutive patients with coronary artery disease who underwent successful percutaneous coronary intervention (PCI). Patients were followed up clinically for up to 3 years or until the occurrence of major adverse cardiac events (MACE). The primary endpoint was a composite of all-cause death and non-fatal myocardial infarction. The NPI (pg/mL) was defined as √ANP×BNP. MACE occurred in 73 patients (8.6%) during the follow-up period. Receiver operating characteristic curve analysis showed the highest area under the curve for NPI (0.779) compared with ANP and BNP (0.773 and 0.755, respectively). A risk analysis of MACE occurrence adjusted for the multivariable model showed the highest hazard ratio (HR) for NPI (1.33; 95% confidence interval [CI] 1.18-1.51; P<0.001) compared with ANP and BNP (HR 1.25 [95% CI 1.13-1.39] and 1.30 [95% CI 1.13-1.49], respectively; P<0.001). The NPI was a significant independent predictor of MACE, among other clinical parameters, in the multivariable analysis. CONCLUSIONS: Compared with ANP and BNP, the NPI was more effective in predicting future adverse events after PCI.

Performance analysis considering endpoints for three accelerated diagnostic protocols for chest pain.

INTRODUCTION: The modified accelerated diagnostic protocol (ADP) to assess patients with chest pain symptoms using troponin as the only biomarker (mADAPT), the History, ECG, Age, Risk factors, and Troponin (HEART) pathway, and the Emergency Department Assessment of Chest Pain Rule (EDACS)-ADP, are the three most well-known ADPs for patients with chest pain. These ADPs define major adverse cardiac event (MACE) as components of acute myocardial infarction, revascularization, and death; unstable angina is not included as an endpoint. METHODS: We performed a single-center prospective observational study comparing the performance of these 3 ADPs for patients with 30-day MACE with and without unstable angina. We hypothesized that these ADPs will have high sensitivities for MACE without unstable angina, a definition used for score derivation studies. However, when unstable angina is included in the MACE, their performances would be lower than the acceptable rate of >99% sensitivity. RESULTS: A total of 1,214 patients were included in the analysis. When unstable angina was not included in the endpoint, sensitivities for MACE were 99.1% (95% confidence interval [CI]: 96.7-99.9%), 99.5% (95% CI: 97.4-100%), and 100% (95% CI: 98.3-100%) for mADAPT, EDACS-ADP, and HEART pathway, respectively. The HEART pathway had the highest proportion of patients classified as low risk (39.2%, 95% CI: 35.8-42.9%), followed by EDACS-ADP (31.3%, 95% CI: 28.2-34.6%) and mADAPT (29.3%, 95% CI: 26.4-32.5%). However, when unstable angina was included in the MACE, sensitivities were 96.6% (95% CI: 94.4-98.1%) for mADAPT, 97.3% (95% CI: 95.3-98.6%) for EDACS-ADP, and 97.3% (95% CI: 95.3-98.6%) for the HEART pathway, respectively. There were 15 false-negative cases with mADAPT, and 12 false-negative cases each for EDACS-ADP and HEART pathway. CONCLUSION: All three ADPs-mADAPT, EDACS-ADP, and HEART pathway-were similarly accurate in their discriminatory performance for the risk stratification of ED patients presenting with possible ACS when unstable angina was not included in the endpoint. The HEART pathway showed the best combination of sensitivity and proportion of patients that can be classified as safe for early discharge. However, when unstable angina was added to the endpoint, all three ADPs did not show appropriate safety levels and their performances were lower than the acceptable risk of MACE.

Circulating tumor necrosis factor-α, interleukin-1ß, and interleukin-17A estimates increased major adverse cardiac event risk in acute myocardial infarction patients.

BACKGROUND: Inflammatory cytokines are implicated in the development of atherosclerosis and cardiomyocyte injury during acute myocardial infarction (AMI). This study aimed to investigate the correlation of eight common inflammatory cytokines with major adverse cardiac event (MACE) risk and further establish a prognostic model in AMI patients. METHODS: Serum samples of 210 AMI patients and 20 angina pectoris patients were, respectively, collected at admission, to detect tumor necrosis factor-alpha (TNF-α), interleukin (IL)-1ß, IL-6, IL-8, IL-10, IL-17A, vascular cell adhesion molecule-1 (VCAM-1), and intercellular adhesion molecule 1 (ICAM-1) via enzyme-linked immunosorbent assay. RESULTS: TNF-α, IL-6, IL-8, IL-17A, VCAM-1, and ICAM-1 were elevated (all p < 0.050); IL-10 (p = 0.009) was declined; IL-1ß (p = 0.086) was not varied in AMI patients compared with angina pectoris patients. TNF-α (p = 0.008), IL-17A (p = 0.003), and VCAM-1 (p = 0.014) were elevated in patients with MACE occurrence compared to patients without MACE occurrence; meanwhile, they possessed a relatively good value for identifying MACE risk via receiver-operating characteristic (ROC) analysis. Subsequent multivariate logistic regression analysis revealed that the independent risk factors for MACE contained TNF-α (odds ratio (OR) = 1.038, p < 0.001), IL-1ß (OR = 1.705, p = 0.044), IL-17A (OR = 1.021, p = 0.009), history of diabetes mellitus (OR = 4.188, p = 0.013), history of coronary heart disease (OR = 3.287, p = 0.042), and symptom-to-balloon time (OR = 1.064, p = 0.030), whose combination disclosed a satisfying prognostic value for MACE risk (area under the curve: 0.877, 95% CI: 0.817-0.936). CONCLUSION: Elevated levels of serum TNF-α, IL-1ß, and IL-17A independently correlated with MACE risk in AMI patients, which perhaps provide novel auxiliary for AMI prognostic prediction.

Association of NFKB1 gene rs28362491 mutation with the occurrence of major adverse cardiovascular events.

BACKGROUND: Several studies have reported that NFKB1 gene rs28362491 polymorphism was associated with susceptibility to coronary heart disease in populations of different genetic backgrounds. To date, there have been no studies on the association between NFKB1 gene rs28362491 polymorphism and the occurrence of major adverse cardiac and cerebrovascular event (MACCE). The present study was to explore the relationship between NFKB1 gene rs28362491 polymorphism and MACCEs to investigate whether identifying NFKB1 gene polymorphism is beneficial to evaluating MACCE risks and patients' prognoses. METHODS: We recruited 257 high-risk of cardiovascular disease patients with chest pain or precordial discomfort. The SNPscan™ were used to analyze the NFKB1 gene rs28362491 polymorphism. All patients were followed up in the clinic or by telephone interview for MACCEs. RESULTS: During the followed-up time (mean: 30.1 months) 49 patients had MACCEs (19.1%). Patients with the different genotypes of NFKB1 rs28362491 had different incidence rate of MACCE. The incidence of MACCE in patients carried II, ID and DD genotype was 16.5%, 15.9%, 32.6%, respectively. Log-rank analysis showed that the survival rate in patients with NFKB1 rs28362491 DD genotype was much lower than that in II or ID genotype carriers (P = 0.034). After excluding the influence of traditional risk factors of MACCEs, Cox regression showed that the DD genotype carriers had 2.294-fold relative risk of MACCEs comparing with patients carried II or ID genotype. CONCLUSION: The NFKB1 gene rs28362491 mutant was an independent predictor of worse long-term prognosis for MACCEs. Therefore, identifying NFKB1 gene rs28362491 mutant may be used as a good way for guiding the standardized management of patients with high-risk of cardiovascular diseases.

Reconsidering treatment guidelines for acute myocardial infarction during the COVID-19 pandemic.

BACKGROUND: COVID-19 affects healthcare resource allocation, which could lead to treatment delay and poor outcomes in patients with acute myocardial infarction (AMI). We assessed the impact of the COVID-19 pandemic on AMI outcomes. METHODS: We compared outcomes of patients admitted for acute ST-elevation MI (STEMI) and non-STEMI (NSTEMI) during a non-COVID-19 pandemic period (January-February 2019; Group 1, n = 254) and a COVID-19 pandemic period (January-February 2020; Group 2, n = 124). RESULTS: For STEMI patients, the median of first medical contact (FMC) time, door-to-balloon time, and total myocardial ischemia time were significantly longer in Group 2 patients (all p < 0.05). Primary percutaneous intervention was performed significantly more often in Group 1 patients than in Group 2 patients, whereas thrombolytic therapy was used significantly more often in Group 2 patients than in Group 1 patients (all p < 0.05). However, the rates of and all-cause 30-day mortality and major adverse cardiac event (MACE) were not significantly different in the two periods (all p > 0.05). For NSTEMI patients, Group 2 patients had a higher rate of conservative therapy, a lower rate of reperfusion therapy, and longer FMC times (all p < 0.05). All-cause 30-day mortality and MACE were only higher in NSTEMI patients during the COVID-19 pandemic period (p < 0.001). CONCLUSIONS: COVID-19 pandemic causes treatment delay in AMI patients and potentially leads to poor clinical outcome in NSTEMI patients. Thrombolytic therapy should be initiated without delay for STEMI when coronary intervention is not readily available; for NSTEMI patients, outcomes of invasive reperfusion were better than medical treatment.

Growth Differentiation Factor-15 (GDF-15) as a Predictor of Major Adverse Cardiac Event in Acute Myocardial Infarction Patients.

BACKGROUND: Growth Differentiation Factor-15 (GDF-15) has emerged as a biomarker that capable to predicting cardiovascular events. Recent studies suggest that GDF-15 is elevated in patients with acute myocardial infarction (AMI), but the prognostic remains incompletely defined. This study aimed to investigate the role  of GDF-15 levels with major cardiac adverse events (MACE) on three months follow up in patients with AMI. METHODS: This cohort study was conducted from November 2020 until May 2021 at Dr. Moewardi Hospital. GDF-15 was measured at admission, clinical data was collected and 3 months follow up events was registered. Prognostic value of GDF-15 and hazard ratio between high and low GDF-15 level were analyzed. RESULTS: A total of 64 AMI patients were included in this study. MACE at three months follow-up occurred in 26.5% of patients. In multivariate analysis, GDF-15 was independently associated with risk of MACE at 3 months follow up (OR 1.501; p = 0.003). The cut-off point value of GDF-15 was analyzed with the ROC curve, obtained 2256 pg/mL which has a sensitivity of 94.1% and a specificity of 73.8% (area under the curve (AUC) 86.2%; 95% CI 0.768-0.956). Risk model with Kapplan Meier showed significant association between high GDF-15 levels (≥ 2256 pg/mL) and the incidence of MACE at 3 months follow up (HR 12.029; 95% CI 3.429- 42.197; p <0.001) Conclusion: In patients with AMI, high level of GDF-15 was significantly associated with the risk of MACE at 3 months of observation.

[Normal and Near Normal Myocardial Perfusion Imaging Data Analysis: Two-Year Major Adverse Cardiac Event].

BACKGROUND: Myocardial perfusion imaging (MPI) is the method most commonly used to assess patients with suspected coronary artery disease for the presence of myocardial ischemia and risk of subsequent adverse cardiac events. Studies are limited on the incidence of major adverse cardiac event (MACE) in patients with normal MPI results. PURPOSE: The aim of this study was to investigate the incidence and risk factors of MACE in patients with normal or near-normal MPI results. METHODS: In this single-center retrospective chart review study, patients who had received MPI tests at a nuclear medicine department of a medical center in 2017 were consecutively enrolled. All of the participants in this study were patients with normal or near-normal MPI results, and were followed for two years to assess the incidence of MACE (death, hospitalized for percutaneous coronary intervention; CABG, heart failure and stroke). Participants with or without MACE were compared to determine whether demographic, comorbidity, and MPI data were significant risk factors. RESULTS: Of the 1,629 participants (age = 70.4 ± 11.3 years, 49.4% male) enrolled, 387 (23.8%) were classified into the normal MPI group and 1,242 (76.2%) were classified into the near-normal MPI group. Notably, 61 participants (15.8%) in the normal MPI group and 206 (16.6%) in the near-normal MPI group experienced MACE events during the two-year follow-up. The risk factors of MACE identified in this study included being older in age, being male, and having poor myocardial perfusion parameters (i.e., ejection fraction) during MPI. CONCLUSIONS / IMPLICATIONS FOR PRACTICE: Over the two-year study period, 15.8% of the participants with normal MPI results and 16.6% of those with near-normal MPI results experienced major adverse cardiac events. Thus, it is critical to inform patients regarding the potential risk of MACE risk and to educate them on how to mitigate this risk by actively managing their hyperlipidemia level and left ventricular ejection fraction.

Is It Time to Revisit Remdesivir Use for Severe COVID-19?

How to cite this article: Taggarsi DA. Is It Time to Revisit Remdesivir Use for Severe COVID-19? Indian J Crit Care Med 2022;26(9):983-984.

Major adverse events associated with inducible cardiac ischemia during treadmill exercise testing for peripheral artery disease.

BACKGROUND: The coexistence of coronary artery disease and peripheral artery disease (PAD) is well-established. Whether myocardial ischemia by electrocardiography during treadmill testing to evaluate PAD severity is associated with adverse cardiac and limb events has not been established. The aim of the current study is to assess the risk of major adverse cardiac events (MACE), major adverse limb events (MALE), and all-cause mortality in patients with evidence of myocardial ischemia on ECG compared with those without ischemia in patients undergoing treadmill testing for PAD evaluation. METHODS: Patients undergoing treadmill exercise ankle-brachial index (ABI) evaluation (January 1, 2003, to December 31, 2006) were identified using the Mayo Clinic Gonda Vascular Laboratory database. Patients with ischemia by electrocardiogram (ECG) were age and sex matched to patients without ischemia. Outcomes were compared by ECG category. RESULTS: Of 4128 patients who underwent treadmill exercise, 170 (4.1%) had inducible myocardial ischemia by ECG. These were matched with 340 patients without ischemia. The positive ECG group had a higher percentage of diabetes mellitus (31.2% vs 21.8%; P = .02), carotid artery disease (22.4% vs 13.2%; P = .009), exercise-induced angina (14.1% vs 2.9%; P < .0001), and dyspnea (60.6% vs 35.6%; P < .0001). While the resting ABI was similar, the postexercise ABI was lower in the positive ECG group (0.5 vs 0.7; P = .04). After a median follow-up of 8 years, MACE were significantly greater in the positive ECG group (62.4% vs 46.5%; P < .001). MALE were significantly less frequent (17.1% vs 23.2%; P = .02), without an increased risk of amputation. In multivariable analysis, inducible ischemia was associated with higher incidence of MACE (hazard ratio, 1.65; 95% confidence interval, 1.25-2.16; P < .001) and lower incidence of MALE (hazard ratio, 0.51; 95% confidence interval, 0.31-0.84; P < .05). CONCLUSIONS: ECG monitoring during vascular treadmill testing identified a subset of patients with more frequent MACE but less MALE.

Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study.

BACKGROUND & AIMS: Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort. METHODS: A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis-4 (FIB-4) score, non-alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all-cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: During a mean follow-up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan-Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable-adjusted HRs (95% CIs) of the highest group of FIB-4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32-2.33), 2.37 (1.70-3.33), 2.44 (1.61-3.73), 1.58 (1.16-2.14) and 1.27 (1.03-1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all-cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C-statistic for CVOs. CONCLUSIONS: The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.

Risk of arrhythmias after myocardial infarction in patients with left ventricular systolic dysfunction according to mode of revascularization: a Cardiac Arrhythmias and RIsk Stratification after Myocardial infArction (CARISMA) substudy.

AIMS: The Cardiac Arrhythmias and RIsk Stratification after Myocardial infArction (CARISMA) study was an observational trial including 312 patients with acute myocardial infarction (MI) and left ventricular ejection fraction (LVEF) <40%. Primary percutaneous intervention (pPCI) was introduced 2 years after start of the enrolment, dividing the population into two groups: pre- and post-pPCI. This substudy sought to describe the influence of the mode of revascularization on long-term risk of new-onset atrial fibrillation (AF), bradyarrhythmia, and ventricular tachycardia and the subsequent risk of relevant major cardiovascular events (MACE). METHODS AND RESULTS: The study included the 268 patients without a history of AF. All patients received an implantable cardiac monitor (ICM) and were followed for 2 years. The choice of revascularization was made by the treating team independently of the trial and retrospectively divided into pPCI, subacute PCI, primary thrombolysis, or no revascularization. Endpoints were new-onset arrhythmia and MACE.A total of 77 patients received no revascularization, whereas 49 received thrombolysis only and 142 received any PCI. The adjusted hazard ratio (HR) for developing any arrhythmia and the subsequently risk of MACE were increased in non-revascularized or thrombolysed patients compared with PCI-patients (any arrhythmia, non-revascularization: HR = 1.7, P = 0.01 and thrombolysis: HR = 1.6, P = 0.05; MACE, non-revascularization: HR = 3.1, P = 0.05 and thrombolysis: HR = 3.1, P = 0.08). All HRs were adjusted for significant baseline and clinically considered covariates and stratified for calendar year. CONCLUSION: This study is the first to demonstrate that the long-term risk of arrhythmia documented by an ICM and the subsequent risk of MACE were increased in non-revascularized or thrombolysed patients compared with PCI-patients in a post-MI population with LVEF <40%.

Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model.

BACKGROUND: Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. METHODS: The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. RESULTS: Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01-1.05), diabetes (HR = 2.17, 95% CI 1.29-3.66), smoking (HR = 2.41, 95% CI 1.46-3.98), and stent length (HR = 1.74, 95% CI 1.11-2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. CONCLUSION: Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

Validation of the atherothrombotic risk score for secondary prevention in patients with acute myocardial infarction: the J-MINUET study.

Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS2°P) is a contemporary risk scoring system for secondary prevention based on nine clinical factors. However, this scoring system has not been validated in other populations. The aim of this study was to validate the TRS2°P in patients with acute myocardial infarction (AMI) treated with primary percutaneous coronary intervention (PCI) in a nationwide registry cohort. Among 3283 consecutive patients with AMI enrolled in the Japanese registry of acute Myocardial INfarction diagnosed by Universal dEfiniTion (J-MINUET), a total of 2611 patients who underwent primary PCI were included in this study. The performance of the TRS2°P to predict major adverse cardiovascular events (MACE) composed of all-cause death, non-fatal MI, and non-fatal stroke up to 3 years in the present cohort was evaluated. The TRS2°P had modest discriminative performance in this J-MINUET cohort with a c-statistic of 0.63, similar to that in the derived cohort (TRA2°P-TIMI50, c-statistic 0.67). A strong graded relationship between the TRS2°P and 3-year cardiovascular event rates was also observed in the J-MINUET cohort. Age ≥ 75 years, Killip ≥ 2, prior stroke, peripheral artery disease, anemia, and non-ST-elevation myocardial infarction were identified as independent factors for the incidence of MACE. The TRS2°P modestly predicted secondary cardiovascular events among patients with AMI treated by primary PCI in a nationwide cohort of Japan. Further studies are needed to develop a novel risk score better predicting secondary cardiovascular events.