INTRODUCTION

Acute coronary syndrome (ACS) and end-stage renal disease (ESRD) are both prevalent globally. The diagnosis and management of ACS in ESRD is difficult because the interplay of cardiovascular and renal disease is complicated. The guidelines for ACS may not be applicable to the ESRD population because the trials from which these are drawn mostly excluded ESRD patients.

To determine the clinical profile and outcomes of CKD patients on dialysis admitted for ACS in the Philippine General Hospital (PGH).

We did a retrospective cohort study and employed a retrospective review of electronic medical records among ESRD patients presenting with ACS in PGH from May 2021 to November 2023. The collected data was analyzed using univariate and bivariate statistics using PRISM software.

A total of 48 patients with ESRD were admitted for ACS in this study – 8 with STEMI and 40 with NSTEMI. The mean age was 61 years old and 33 (68.8%) were male. Among those with STEMI, six (75%) presented with Kilip II or more. While among those with NSTEMI, 17 (42.5%) had a GRACE score >140 and 27 (67.5%) had an NSTEMI TIMI risk score >2. On average, the patients were on hemodialysis for 31 months prior to admission. The most common comorbidities were hypertension (91.7%) and heart failure (83.3%). On admission, 18 (37.5%) presented with SBP >160, 7 (14.6%) patients presented with shock, and 4 (8.3%) patients presented with cardiac arrest. 38 (79.2%) patients had anemia on admission. 21 (43.8%) patients had left ventricular hypertrophy on electrocardiogram while 34 (70.8%) patients had cardiomegaly on chest radiography. The average left ventricular ejection fraction on echocardiogram was 46% and 27 (90%) patients had segmental wall motion abnormalities. The most common angiographic finding was 3-vessel coronary artery disease seen in 50% of patients. Almost all patients received dualantiplatelet therapy, high dose statin, and beta-blocker. The mortality rate was high at 43.8% with cardiovascular causes being the most common cause of death.

This study demonstrates the high mortality rate among patients with ESRD presenting with ACS. Our study portrays that patients with ESRD present with higher risk features including abnormalities in vital signs, laboratories, imaging, high prognostications score, and high in-hospital morbidity.

Cardiovascular (CV) disease is the leading cause of mortality in systemic lupus erythematosus (SLE). The risk of myocardial infarction (MI) in SLE is twice the incidence and ten years earlier in onset than in the general population. We present the first known case in the Philippines of acute MI from triple vessel coronary artery disease (CAD) in a young female patient with SLE. This aims to increase recognition and improve preventive strategies for this rare lupus complication. A 31-year-old female with SLE for thirteen years, antiphopspholipid syndrome (APS) and controlled hypertension (HTN) presented with acute chest pain, diaphoresis, and dyspnea. She was a non-smoker with quiescent lupus and nephritis, maintained on low-dose aspirin, mycophenolate mofetil and hydroxychloroquine for the past four years. The physical examination revealed hypertension, bradycardia, normal heart sounds without murmurs, and no signs of lupus flare. The troponin level was elevated, and the electrocardiogram showed inferior wall ST-segment elevation myocardial infarction (STEMI). Coronary angiography revealed triple-vessel disease, with 80-90% stenosis of the left circumflex artery, and total occlusion of the left anterior descending and right coronary artery. There were segmental wall motion abnormalities and a low ejection fraction of 44% on echocardiography. The complete blood count, urinalysis, and serum C3 were within normal range. The anti-dsDNA was low and lipid levels were abnormal. The patient refused coronary artery bypass grafting (CABG). Medical management consisting of anti-platelets, beta-blockers, statin, and warfarin was maximized. The patient completed one year of follow-up without any lupus flares or cardiovascular events. This case illustrates the complex interaction of disease-related and traditional cardiovascular risk factors leading to premature coronary artery disease in a young female with SLE. The case demonstrates favorable one-year outcomes after optimized post-MI medical management. Aside from optimized lupus control and reduced glucocorticoid use, proactive screening and aggressive management of modifiable CV risk factors and antiphospholipid antibodies (aPL), are necessary.
Human ; Female ; Adult: 25-44 Yrs Old ; Lupus Erythematosus, Systemic ; Myocardial Infarction ; Literature ; Infarction ; Female

INTRODUCTION

Takayasu arteritis (TA) is a rare chronic large vessel vasculitis that affects the aorta and its major branches with a median age of onset of 25 years. The disease has a worldwide incidence of 1-2 per million, primarily affecting females with a 9:1 ratio. It is considered as an autoimmune disease that leads to progressive vessel thickening and stenosis, or aneurysmal dilatation. Coronary artery involvement is observed in 5.9%-58.2% of TA cases. We present a case of TA in a Filipino male presenting concurrently with myocardial infarction (MI) and ischemic stroke.

A 41-year-old Filipino male smoker with hypertension presented with chest pain, left-sided paresthesia and hemiparesis. Initial assessment revealed differential blood pressure between the arms, sensory and motor deficits, and abnormal ABI. Electrocardiogram confirmed anteroseptal ST-elevation MI and cranial computed tomography (CT) showed ischemic stroke. Arterial duplex scan had findings suggestive of hemodynamically significant lower extremity stenosis. A CT aortogram revealed multiple occlusions, including in the left subclavian artery, suggesting TA. Coronary angiography was attempted but was deferred due to peripheral arterial occlusion. A CT coronary angiogram revealed severe stenosis of the left anterior descending artery and moderate stenosis of the other coronaries. The patient was treated with dual antiplatelet therapy, statins, anticoagulation, corticosteroids and methotrexate. He experienced significant improvement in neurological symptoms and was chest pain-free upon discharge. At the 1-month follow-up, the patient remained asymptomatic.

Coronary involvement in TA can manifest as angina, MI, or other coronary lesions. The coexistence of MI and ischemic stroke in the same event is rare. Traditional risk factors for ischemic heart disease (IHD) in this patient such as hypertension and smoking may have contributed to the presentation, though TA itself is known to accelerate atherosclerosis. Limited vascular access hindered coronary intervention in this case and revascularization strategies remain challenging in active TA. The formation of extensive collateral arteries, along with early initiation of immunosuppressive therapy, likely contributed to the patient’s survival.

This case illustrates a rare and complex case of TA in a male patient with concurrent MI and ischemic stroke. Although coronary revascularization was not pursued due to occluded access, immunosuppressive therapy successfully managed the patient’s condition. Extensive collateral artery formation and early therapeutic intervention were key factors in the patient’s favorable outcome.

INTRODUCTION

The existence of a coronary artery aneurysm (CAA) can pose significant risk for death. It can cause thrombosis, dissection, rupture or myocardial infarction. An exceedingly rare involvement of the left main coronary artery (LMCA), particularly giant-sized is even more catastrophic, a finding seen in only 0.1% of patients. Furthermore, co-existence with significant stenotic coronary artery disease (CAD) portends grim survival. Owing to the rarity of this combination, no data is available locally and only limited case reports are documented internationally. Hence, no consensus guidelines have been published yet. This paper aims to contribute to the sparse medical knowledge on the treatment approach and management of LMCA aneurysm with concomitant CAD.

A 62-year-old male, Filipino, hypertensive and hyperlipidemic sought consult due to one-year exertional chest pain. Coronary angiogram revealed the LMCA to be a diffusely aneurysmal, large-sized vessel measuring 9.7 mm x 7.9 mm with a significant two-vessel CAD affecting the proximal left anterior descending (LAD) and right coronary artery (RCA). As per multidisciplinary decision, the patient underwent surgical revascularization via cardiopulmonary bypass graft (CABG) addressing the CAD and LMCA aneurysm managed conservatively through guideline-directed medical therapy. The patient’s course of treatment was uneventful. He returned for follow-ups for three months post-surgery and remained symptom-free.

Giant coronary artery aneurysms (GCAA) are vessel dilatations that exceed 4x the diameter of a normal adjacent artery. The patient had a unique case of GCAA involving the LMCA combined with two-vessel CAD. Few studies have documented a medical or surgical approach and long-term outcomes are unknown. Without sufficient evidence-based guidelines, the multidisciplinary decision was to perform CABG and manage the LMCA aneurysm conservatively.

Due to extremely limited information available on the giant LMCA aneurysm natural history, definitive management remains controversial. A multidisciplinary team approach is highly recommended for patient-specific needs to achieve favorable outcome and ensure survival.

BACKGROUND

Postoperative atrial fibrillation (POAF) is the most common arrythmia to occur after cardiovascular surgery. Inflammation being pivotal in POAF perpetuation has been utilized as a therapeutic target. Owing to their anti-inflammatory and anti-oxidant effects, beta-blockers (BB) and N-acetylcysteine (NAC) became research interests in the pursuit for an effective POAF prevention strategy.

To determine the efficacy of NAC plus BB versus BB alone in preventing POAF in cardiac surgery patients.

A literature search using the following search engines: PubMed/Medline, Cochrane Review Central, Clinical Trials Registry, ResearchGate, Mendeley and Google Scholar for relevant randomized trials were conducted. Published and unpublished studies indexed from inception until 2023 were included. Three independent reviewers evaluated the randomized clinical trials (RCTs) for eligibility. The pooled estimates for POAF prevention as primary outcome and MACE, mortality, myocardial infarction, stroke, ICU LOS and hospital LOS as secondary outcomes were measured using the RStudio statistical software.

Seven eligible RCTs allocated 1069 cardiac surgery patients to NAC + BB (n=539) and BB alone (N = 530) treatment arms. The effect estimate using random effect model disclosed significantly reduced POAF events (RR 0.62, 95% CI [0.44, 0.86], p = 0.005) in those on NAC + BB. While no statistical difference between the study arms were demonstrated in reducing mortality (RR 0.63, 95% CI [0.23, 1.73], p = 0.37); myocardial infarction (RR 1.02, 95% CI [0.49, 2.13], p = 0.96); stroke (RR 0.95, 95% CI [0.24, 3.68], p = 0.94); ICU LOS (std. mean difference 0.14, 95% CI [-0.43, 0.70], p = 0.41), and hospital LOS (std. mean difference 0.08, 95% CI [-0.06, 0.21], p = 0.19).

Among cardiac surgery patients, the use of NAC in combination with BB compared with BB alone significantly reduced POAF.

BACKGROUND

Chest pain is a common reason for emergency room visits. The HEART score is used as a risk stratification tool to aid in clinical decision making. The HEART score is a useful tool due to its good sensitivity, however it has low specificity. The SVEAT score was developed as an improved risk stratification tool which outperformed the HEART score in previous studies. Both the performance of HEART and SVEAT scores lack data in our locality.

To compare the performance of Symptoms, Vascular disease, Electrocardiography, Age, Troponin-I (SVEAT) score and History, Electrocardiography, Age, Risk factors, Troponin-I (HEART) score as predictors of in-hospital Major Adverse Cardiovascular Events (MACE) among adult patients admitted in Chong Hua Hospital Cebu for chest pain.

This single-center, retrospective, observational analytic study included adult patients, ages 18 years old and above, who were admitted for chest pain from January 1, 2022 to December 31, 2022. All patients who passed the inclusion and exclusion criteria were included in the data analysis. Both SVEAT and HEART scores were calculated for each of the included subjects. The performance of both scoring criteria was compared using logistic regression and area under the receiving-operator characteristic curve.

A total of 113 cases were analyzed after exclusion criteria were applied. A total of 50 (44.2%) individuals suffered MACE. The difference in AUC of both SVEAT (0.946, 95%CI) and HEART (0.936, 95%CI) was not statistically significant (95% CI – 0.013 – 0.033, p = 0.400). With a cut-off ofCONCLUSION

SVEAT and HEART scores had similar performance in predicting in hospital MACE. Using a cut-off value of
Human ; Chest Pain ; Heart ; Myocardial Infarction ; Acute Coronary Syndrome

INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers age, sex and cardiac troponin I (TnI) results to risk-stratify patients for type 1 myocardial infarction. METHOD: Patients aged ≥25 years who presented to the emergency department (ED) of Singapore General Hospital with symptoms suggestive of acute coronary syndrome with no diagnostic 12-lead electrocardiogram (ECG) changes were included. Participants had serial ECGs and high-sensitivity troponin assays performed at 0, 2 and 7 hours. The primary outcome was the adjudicated diagnosis of type 1 myocardial infarction at 30 days. We compared the performance of MI3 in predicting the primary outcome with the European Society of Cardiology (ESC) 0/2-hour algorithm as well as the 99th percentile upper reference limit (URL) for TnI. RESULTS: There were 1351 patients included (66.7% male, mean age 56 years), 902 (66.8%) of whom had only 0-hour troponin results and 449 (33.2%) with serial (both 0 and 2-hour) troponin results available. MI3 ruled out type 1 myocardial infarction with a higher sensitivity (98.9, 95% confidence interval [CI] 93.4-99.9%) and similar negative predictive value (NPV) 99.8% (95% CI 98.6-100%) as compared to the ESC strategy. The 99th percentile cut-off strategy had the lowest sensitivity, specificity, positive predictive value and NPV. CONCLUSION The MI3 algorithm was accurate in risk stratifying ED patients for myocardial infarction. The 99th percentile URL cut-off was the least accurate in ruling in and out myocardial infarction compared to the other strategies.
Humans ; Male ; Female ; Emergency Service, Hospital ; Middle Aged ; Electrocardiography ; Machine Learning ; Singapore ; Chest Pain/blood* ; Troponin I/blood* ; Myocardial Infarction/blood* ; Risk Assessment/methods* ; Aged ; Algorithms ; Acute Coronary Syndrome/blood* ; Adult ; Sensitivity and Specificity

OBJECTIVES: To develop a risk prediction model for left ventricular adverse remodeling (LVAR) based on cardiac magnetic resonance (CMR) parameters in patients undergoing percutaneous coronary intervention (PCI) for acute ST-segment elevation myocardial infarction (STEMI). METHODS: A total of 329 acute STEMI patients undergoing primary PCI at 8 medical centers from January, 2018 to December, 2021 were prospectively enrolled. The parameters of CMR, performed at 7±2 days and 6 months post-PCI, were analyzed using CVI42 software. LVAR was defined as an increase >20% in left ventricular end-diastolic volume or >15% in left ventricular end-systolic volume at 6 months compared to baseline. The patients were randomized into training (n=230) and validation (n=99) sets in a 7∶3 ratio. In the training set, potential predictors were selected using LASSO regression, followed by univariate and multivariate logistic regression to construct a nomogram. Model performance was evaluated using receiver-operating characteristic (ROC) curves, area under the curve (AUC), calibration curves, and decision curve analysis. RESULTS: LVAR occurred in 100 patients (30.40%), who had a higher incidence of major adverse cardiovascular events than those without LVAR (58.00% vs 16.16%, P<0.001). Left ventricular global longitudinal strain (LVGLS; OR=0.76, 95% CI: 0.61-0.95, P=0.015) and left atrial active strain (LAAS; OR=0.78, 95% CI: 0.67-0.92, P=0.003) were protective factors for LVAR, while infarct size (IS; OR=1.05, 95% CI: 1.01-1.10, P=0.017) and microvascular obstruction (MVO; OR=1.26, 95% CI: 1.01-1.59, P=0.048) were risk factors for LVAR. The nomogram had an AUC of 0.90 (95% CI: 0.86-0.94) in the training set and an AUC of 0.88 (95% CI: 0.81-0.94) in the validation set. CONCLUSIONS LVGLS, LAAS, IS, and MVO are independent predictors of LVAR in STEMI patients following PCI. The constructed nomogram has a strong predictive ability to provide assistance for management and early intervention of LVAR.
Humans ; Percutaneous Coronary Intervention ; Prospective Studies ; ST Elevation Myocardial Infarction/diagnostic imaging* ; Ventricular Remodeling ; Magnetic Resonance Imaging ; Male ; Female ; Middle Aged ; Risk Factors ; Aged ; Risk Assessment

OBJECTIVES: We propose a myocardial infarction (MI) detection and localization model for improving the diagnostic accuracy for MI to provide assistance to clinical decision-making. METHODS: The proposed model was constructed based on multi-scale field residual blocks fusion modified channel attention (MSF-RB-MCA). The model utilizes lead II electrocardiogram (ECG) signals to detect and localize MI, and extracts different levels of feature information through the multi-scale field residual block. A modified channel attention for automatic adjustment of the feature weights was introduced to enhance the model's ability to focus on the MI region, thereby improving the accuracy of MI detection and localization. RESULTS: A 5-fold cross-validation test of the model was performed using the publicly available Physikalisch-Technische Bundesanstalt (PTB) dataset. For MI detection, the model achieved an accuracy of 99.96% on the test set with a specificity of 99.84% and a sensitivity of 99.99%. For MI localization, the accuracy, specificity and sensitivity were 99.81%, 99.98% and 99.65%, respectively. The performances of the model for MI detection and localization were superior to those of other comparison models. CONCLUSIONS The proposed MSF-RB-MCA model shows excellent performance in AI detection and localization based on lead II ECG signals, demonstrating its great potential for application in wearable devices.
Myocardial Infarction/diagnosis* ; Humans ; Electrocardiography/methods* ; Signal Processing, Computer-Assisted ; Algorithms ; Sensitivity and Specificity

Ankylosing spondylitis (AS) is linked to an increased prevalence of myocardial infarction (MI). However, research dedicated to elucidating the pathogenesis of AS-MI is lacking. In this study, we explored the biomarkers for enhancing the diagnostic and therapeutic efficiency of AS-MI. Datasets were obtained from the Gene Expression Omnibus database. We employed weighted gene co-expression network analysis and machine learning models to screen hub genes. A receiver operating characteristic curve and a nomogram were designed to assess diagnostic accuracy. Gene set enrichment analysis was conducted to reveal the potential function of hub genes. Immune infiltration analysis indicated the correlation between hub genes and the immune landscape. Subsequently, we performed single-cell analysis to identify the expression and subcellular localization of hub genes. We further constructed a transcription factor (TF)-microRNA (miRNA) regulatory network. Finally, drug prediction and molecular docking were performed. S100A12 and MCEMP1 were identified as hub genes, which were correlated with immune-related biological processes. They exhibited high diagnostic value and were predominantly expressed in myeloid cells. Furthermore, 24 TFs and 9 miRNA were associated with these hub genes. Enzastaurin, meglitinide, and nifedipine were predicted as potential therapeutic agents. Our study indicates that S100A12 and MCEMP1 exhibit significant potential as biomarkers and therapeutic targets for AS-MI, offering novel insights into the underlying etiology of this condition.
Humans ; Spondylitis, Ankylosing/complications* ; Systems Biology/methods* ; Myocardial Infarction/diagnosis* ; Biomarkers/metabolism* ; MicroRNAs/genetics* ; Gene Regulatory Networks ; Gene Expression Profiling ; Machine Learning