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

OBJECTIVE: We aimed to assess the feasibility and superiority of machine learning (ML) methods to predict the risk of Major Adverse Cardiovascular Events (MACEs) in chest pain patients with NSTE-ACS. METHODS: Enrolled chest pain patients were from two centers, Beijing Anzhen Emergency Chest Pain Center Beijing Bo'ai Hospital, China Rehabilitation Research Center. Five classifiers were used to develop ML models. Accuracy, Precision, Recall, F-Measure and AUC were used to assess the model performance and prediction effect compared with HEART risk scoring system. Ultimately, ML model constructed by Naïve Bayes was employed to predict the occurrence of MACEs. RESULTS: According to learning metrics, ML models constructed by different classifiers were superior over HEART (History, ECG, Age, Risk factors, & Troponin) scoring system when predicting acute myocardial infarction (AMI) and all-cause death. However, according to ROC curves and AUC, ML model constructed by different classifiers performed better than HEART scoring system only in prediction for AMI. Among the five ML algorithms, Linear support vector machine (SVC), Naïve Bayes and Logistic regression classifiers stood out with all Accuracy, Precision, Recall and F-Measure from 0.8 to 1.0 for predicting any event, AMI, revascularization and all-cause death ( vs. HEART ≤ 0.78), with AUC from 0.88 to 0.98 for predicting any event, AMI and revascularization ( vs. HEART ≤ 0.85). ML model developed by Naïve Bayes predicted that suspected acute coronary syndrome (ACS), abnormal electrocardiogram (ECG), elevated hs-cTn I, sex and smoking were risk factors of MACEs. CONCLUSION Compared with HEART risk scoring system, the superiority of ML method was demonstrated when employing Linear SVC classifier, Naïve Bayes and Logistic. ML method could be a promising method to predict MACEs in chest pain patients with NSTE-ACS.
Humans ; Acute Coronary Syndrome/epidemiology* ; Bayes Theorem ; Feasibility Studies ; Risk Assessment/methods* ; Chest Pain/etiology* ; Myocardial Infarction/diagnosis*

Sickle cell disease (SCD) is a single gene genetic disease, which seriously threatens the life span and quality of patients. On the basis of the pathogenesis of SCD and the alternative therapy based on fetal hemoglobin F (HbF), the research progress of transcription factors involved in the regulation of HbF gene expression, such as BCL11A, ZBTB7A, KLF-1, c-MYB and SOX6, as well as the application of CRISPR / Cas9, TALEN, zinc finger nuclease and other gene editing technologies in this field has been made, providing a solid theoretical basis for the exploration of new treatment schemes for β- like hemoglobin diseases, such as sickle cell disease and β- thalassemia.
Anemia, Sickle Cell/therapy* ; Cell Line, Tumor ; DNA-Binding Proteins ; Fetal Hemoglobin/genetics* ; Genetic Therapy ; Humans ; Repressor Proteins/genetics* ; Transcription Factors

OBJECTIVE: To rapidly and safely identify the risk of developing acute coronary syndrome in patients with chest pain who present to the emergency department, the clinical use of the History, Electrocardiogram, Age, Risk Factors, and Troponin (HEART) scoring has recently been proposed. This study aimed to assess the inter-rater reliability of the HEART score calculated by a large number of Italian emergency physicians.METHODS: The study was conducted in three academic emergency departments using clinical scenarios obtained from medical records of patients with chest pain. Twenty physicians, who took the HEART score course, independently assigned a score to different clinical scenarios, which were randomly administered to the participants, and data were collected and recorded in a spreadsheet by an independent investigator who was blinded to the study’s aim.RESULTS: After applying the exclusion criteria, 53 scenarios were finally included in the analysis. The general inter-rater reliability was good (kappa statistics [κ], 0.63; 95% confidence interval, 0.57 to 0.70), and a good inter-rater agreement for the high- and low-risk classes (HEART score, 7 to 10 and 0 to 3, respectively; κ, 0.60 to 0.73) was observed, whereas a moderate agreement was found for the intermediate-risk class (HEART score, 4 to 6; κ, 0.51). Among the different items of the HEART score, history and electrocardiogram had the worse agreement (κ, 0.37 and 0.42, respectively).CONCLUSION: The HEART score had good inter-rater reliability, particularly among the high- and low-risk classes. The modest agreement for history suggests that major improvements are needed for objectively assessing this component.
Acute Coronary Syndrome ; Chest Pain ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Heart ; Humans ; Medical Records ; Observational Study ; Research Personnel ; Risk Factors ; Troponin

OBJECTIVE: Bedside consultation by cardiologists may facilitate safe discharge of selected patients from the emergency department (ED) even when admission is recommended by the History, Electrocardiogram, Age, Risk factors, Troponin (HEART) pathway. If bedside evaluation is unavailable, phone consultation between emergency physicians and cardiologists would be most impactful if the resultant disposition is discordant with the HEART pathway. We therefore evaluate discordance between actual disposition and that suggested by the HEART pathway in patients presenting to the ED with chest pain for whom cardiology consultation occurred exclusively by phone and to assess the impact of phone-consultation on disposition.METHODS: We performed a single-center, retrospective study of adults presenting to the ED with chest pain whose emergency physician had a phone consultation with a cardiologist. Actual disposition was abstracted from the medical record. HEART pathway category (low-risk, discharge; high-risk, admit) was derived from ED documentation. For discharged patients, major adverse cardiac events were assessed at 30 days by chart review and phone follow-up.RESULTS: For the 170 patients that had cardiologist phone consultation, discordance between actual disposition and the HEART pathway was 17%. The HEART pathway recommended admission for nearly 80% of discharged patients. Following cardiologist phone-consultation, 10% of high-risk patients were discharged, with the majority having undergone a functional study recommended by the cardiologist. At 30 days, discharged patients had experienced no episodes of major adverse cardiac events or rehospitalization for cardiac reasons.CONCLUSION: For patients presenting to the ED with chest pain, cardiology phone-consultation has the potential to safely impact disposition, primarily by facilitating functional testing in high-risk individuals.
Acute Coronary Syndrome ; Adult ; Cardiology ; Chest Pain ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Follow-Up Studies ; Heart ; Humans ; Medical Records ; Retrospective Studies ; Risk Factors ; Troponin

BACKGROUND: Sickle cell disease is an autosomal recessive condition that results from the presence of a mutated form of hemoglobin. Some genetic variants of BCL11A are amenable to therapeutic manipulation. The present study investigated the relationship of a BCL11A variant (rs1427407) and its plasma levels with vaso-occlusive crises and stroke complications among patients in Sudan with sickle cell disease. METHODS: This cross-sectional study was performed between June 2014 and October 2016. The subjects included 166 patients who were diagnosed with sickle cell disease and 35 healthy control subjects, who were grouped according to sex and age ( < 15 years, 15–25 years, and >25 years). All patients and/or their guardians provided informed consent. Blood samples were collected from the patients and controls under aseptic conditions. RESULTS: Plasma BCL11A levels were elevated in cases with vaso-occlusive crises that lasted for >3 years. In addition, plasma BCL11A levels were high in cases with the GG genotype (vs. GT and TT) at rs1427407. Furthermore, the BCL11A rs1427407 GG/GT genotypes increased the risk of vaso-occlusive crisis and stroke in the patients with sickle cell disease. CONCLUSION: The BCL11A variant (rs1427407) and its plasma levels were associated with vaso-occlusive crisis and stroke in patients with sickle cell disease.
Anemia, Sickle Cell* ; Cross-Sectional Studies ; Genotype* ; Humans ; Informed Consent ; Plasma ; Stroke* ; Sudan*

Kounis syndrome is defined as the occurrence of acute coronary syndrome associated with vasoactive mediators, such as histamines in the setting of hypersensitivity and allergic reactions or anaphylactic insults. The condition can be caused by various drugs, foods, or environmental factors that cause allergic reactions. A 35-year-old male visited the emergency room with anaphylaxis accompanied by chest pain approximately 20 minutes after taking zaltoprofen, a nonsteroidal anti-inflammatory drug. After acute treatment for the anaphylaxis, the patient was stabilized and all symptoms disappeared, but the ischemic changes in the electrocardiogram and elevation of the cardiac enzymes were observed. The emergency cardiac angiography and echocardiography were all normal. The allergic reaction of this patient to zaltoprofen was believed to cause a temporary coronary arterial vasospasm, inducing Type 1 Kounis syndrome. Thus far, there have been case reports of Kounis syndrome caused by a range of nonsteroidal anti-inflammatory drugs, but there are no reports of the condition being caused by zaltoprofen. According to the pathophysiology, both cardiac and allergic symptoms must be solved simultaneously, so rapid treatment and diagnosis are needed. Doctors treating acute allergic reactions and anaphylaxis patients must check the cardiovascular symptoms thoroughly and consider the possibility of Kounis syndrome.
Acute Coronary Syndrome ; Adult ; Anaphylaxis ; Angiography ; Chest Pain ; Diagnosis ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Humans ; Hypersensitivity ; Male

No abstract available.
Humans ; Korea ; Sickle Cell Trait

Identification of certain abnormalities of the chest wall can be extremely helpful in correctly diagnosing a number of syndromic conditions and systemic diseases. Additionally, chest wall abnormalities may sometimes constitute diagnoses by themselves. In the present pictorial essay, we review a number of such conditions and provide illustrative cases that were retrospectively identified from our clinical imaging database. These include pentalogy of Cantrell, Klippel-Feil syndrome, cleidocranial dysplasia, Poland syndrome, osteopetrosis, neurofibromatosis type 1, Marfan syndrome, Gardner syndrome, systemic sclerosis, relapsing polychondritis, polymyositis/dermatomyositis, ankylosing spondylitis, hyperparathyroidism, rickets, sickle cell anemia, thalassemia, tuberculosis, septic arthritis of the sternoclavicular joint, elastofibroma dorsi, and sternal dehiscence.
Anemia, Sickle Cell ; Arthritis, Infectious ; Cleidocranial Dysplasia ; Diagnosis ; Gardner Syndrome ; Hyperparathyroidism ; Klippel-Feil Syndrome ; Marfan Syndrome ; Neurofibromatosis 1 ; Osteopetrosis ; Pentalogy of Cantrell ; Poland Syndrome ; Polychondritis, Relapsing ; Retrospective Studies ; Rickets ; Scleroderma, Systemic ; Spondylitis, Ankylosing ; Sternoclavicular Joint ; Thalassemia ; Thoracic Wall ; Tuberculosis