OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

BACKGROUND AND OBJECTIVE.

Severe Acute Respiratory Syndrome - Coronavirus-2 (SARS-CoV-2) was initially known to affect the respiratory system and has been reported to also involve the cardiovascular system leading to myocardial damage. Remdesivir is one of the approved treatments for COVID-19, wherein viral replication is inhibited by terminating the RNA transcription prematurely. According to studies, the primary electrocardiographic effect of remdesivir in COVID-19 patients are sinus bradycardia and QT prolongation. The use of electrocardiogram (ECG) is an essential diagnostic tool in assessing the electrical conditions of the heart. The objective of this study is to describe the electrocardiographic profile of adult patients with COVID-19 who were given remdesivir and admitted in the University of the Philippines-Philippine General Hospital (UP-PGH). To this date, this is the only study done locally identifying the electrocardiographic profiles of adult patients with COVID-19 who were given remdesivir.

METHODS

This was a retrospective descriptive study involving adult patients with COVID-19 who were given remdesivir and admitted in UP-PGH from June 2021 to June 2022. Demographic profiles and 12-lead ECG done during the hospital admission were gathered. Descriptive statistics was used to summarize the clinical characteristics and the electrocardiographic findings of the patients.

RESULTS

There were 412 confirmed COVID-19 patients who were given remdesivir (mean age 56 years old; female 52%) included in this study. The most common comorbidities were hypertension, diabetes mellitus, and stroke. Majority of the patients had severe (58%) to critical (22%) COVID-19 infection. Most of the patients had sinus rhythm (94%), normal rate (72%), and normal axis (93%). The most common baseline ECG findings were non-specific ST-T wave changes (42%). Some patients had atrioventricular blocks (3.4%), bundle branch blocks (3.6%), prolonged QT interval (1.9%). Among those with repeat 12-L ECG (136 patients) during admission, ECG changes observed were sinus bradycardia (6%), prolonged QT interval (4%), and both (1.5%).

CONCLUSION

Based on this retrospective review, which to our knowledge is the only study done locally investigating the effects of remdesivir on ECG of adult Filipino patients with COVID-19 infection, majority of the patients had sinus rhythm, normal rate, and axis. The most common ECG finding was non-specific ST-T wave changes. This study demonstrated a low incidence of adverse ECG changes that would preclude the administration of remdesivir when indicated. These include sinus bradycardia and QT interval prolongation which did not require further interventions. ECG remains to be useful, low-cost noninvasive tool that can help monitor electrophysiologic adverse events of remdesivir.

Electrocardiography ; COVID-19 ;

Purulent pericarditis is a rare occurrence in the era of modern antibiotics. It is most often caused by organisms such as Staphylococcus aureus, Streptococcus pneumoniae, Viridans streptococci, Haemophilus influenzae and anaerobic bacteria with Streptococcus pyogenes (S.pyogenes) being a possible, though very uncommon etiology. This case represents an occurrence of S. pyogenes pericarditis in an apparently healthy female with no known immunocompromising condition. A 37-year-old female, married, real estate agent with no comorbidities came in for chest pain radiating to the upper back, relieved with leaning forward. Cardiac biomarker was normal, ECG demonstrated diffuse ST-segment elevation and PR segment depression, while imaging showed lobar pneumonia. Blood tests showed leukocytosis with neutrophilic predominance and workup for immunocompromised state was negative. The 2D echo showed large pericardial effusion with tamponade physiology. An urgent pericardiocentesis was done. Cultures grew Streptococcus pyogenes confirming the diagnosis of acute purulent pericarditis. Daily drainage of pericardial effusion, colchicine, ibuprofen was initiated together with antibiotics and the patient had resolution of pericardial effusion. Acute pyogenic pericarditis with cardiac tamponade is a rare but serious condition that requires prompt recognition and intervention. Early diagnosis, through a combination of clinical suspicion, ECG and echocardiography is crucial for initiating timely treatment.

Human ; Female ; Adult: 25-44 Yrs Old ; Viridans Streptococci ; Streptococcus Pyogenes ; Streptococcus Pneumoniae ; Staphylococcus Aureus ; Streptococcal Infections ; Electrocardiography ; Echocardiography ; Early Diagnosis

The surface electrocardiogram (ECG) can provide many clues to a patient’s underlying medical condition or tendency for arrhythmogenesis. An 80-year-old man with severe aortic stenosis and an implantable cardioverter-defibrillator (ICD) for advanced heart block presented with burping, chest discomfort and intermittent pounding sensations. His ECG showed atrial fibrillation with intermittent ventricular pacing at 60 bpm characterized by irregularly irregular rhythm, absent P waves, narrow intrinsic QRS complexes alternating with wide-paced beats (left bundle branch block [LBBB] morphology, superior axis) and visible pacing spikes. Device interrogation revealed ventricular tachycardia (VT) storm with multiple appropriate ICD shocks explaining his pounding sensations. This report highlights two key teaching points: recognizing atrial fibrillation during ventricular pacing—a frequently missed diagnosis affecting nearly half of patients with pacemakers—and managing VT storm to reduce shock burden. After device reprogramming and antiarrhythmic adjustment, the patient became asymptomatic.

Human ; Male ; Aged: 65-79 Yrs Old ; Thorax ; Teaching ; Tachycardia, Ventricular ; Electrocardiography ; Atrial Fibrillation ; Bundle-branch Block ; Constriction, Pathologic

BACKGROUND AND OBJECTIVE

COVID-19 has been associated with cardiac injury, often detectable through electrocardiographic (ECG) changes. This study seeks to characterize the cardiovascular and electrocardiographic profiles of adult patients diagnosed with COVID-19.

METHODS

This study included adult patients with confirmed COVID-19 from June 2021 to June 2022. Clinical profiles and 12-lead ECG tracings were obtained from electronic medical records and reviewed independently by three cardiologists. Descriptive analysis was performed to summarize the cardiovascular and electrocardiographic findings in this population.

RESULTS

The study included 998 COVID-19 patients (mean age: 50 years; 53.7% male). The most common comorbidities were hypertension, diabetes, and dyslipidemia. A majority (31.36%) presented with severe COVID-19 infection. The most frequent significant ECG abnormalities observed at admission were sinus tachycardia (22.8%), and atrial fibrillation (11.02%). Additional ischemic findings included ST segment depression (2.91%), T-wave inversion (1.70%), and ST segment elevation (2.71%).

CONCLUSION

The baseline ECG findings among COVID-19 patients were predominantly normal; however, significant abnormalities were also identified. The most frequent abnormalities included sinus tachycardia, atrial fibrillation, and ischemic changes, all of which may have clinical implications.

Human ; Coronavirus Disease 19 ; Covid-19 ; Electrocardiography ; Atrial Fibrillation

In recent years, cardiovascular disease has become a common disease. With the development of machine learning and big data technologies, the processing ability of electrocardiogram (ECG) signals has been greatly enhanced through new computer technologies, enabling the auxiliary diagnosis technology for cardiovascular disease (CVD) to achieve new improvements. This article discusses the application of machine learning in ECG processing, especially in the auxiliary diagnosis of diseases. Firstly, the conventional signal preprocessing methods are introduced, and then the EEG signal processing methods based on feature extraction and fuzzy classification are explored. Secondly, the application of auxiliary diagnosis in CVD is further summarized. Finally, the advantages and disadvantages of the two methods are analyzed, and based on this, a design of an auxiliary diagnostic system compatible with the two methods is proposed, providing a new perspective for similar applied researches in the future.
Machine Learning ; Cardiovascular Diseases/diagnosis* ; Humans ; Electrocardiography ; Signal Processing, Computer-Assisted ; Diagnosis, Computer-Assisted ; Fuzzy Logic ; Electroencephalography

Hemodynamic monitoring can reflect cardiac function and blood perfusion and is an indispensable monitoring method in clinical practice. Invasive hemodynamic monitoring methods represented by the thermodilution method are limited in their clinical application scope because they require vascular cannulation. Non-invasive hemodynamic monitoring has attracted extensive attention from medical companies and clinicians at home and abroad in recent years due to its advantages such as safety, non-invasiveness, continuous monitoring, simple operation, and low cost. This paper designs a non-invasive hemodynamic monitoring system based on the impedance cardiography, including hardware, algorithm, software design, and performance parameter evaluation. Among them, the hardware part mainly includes a differential high-frequency constant current source stimulation circuit, impedance cardiogram signal acquisition, and ECG signal acquisition circuit. Signal processing includes wave filtering, impedance cardiogram signal calibration, and ECG signal and impedance cardiogram signal feature point recognition. According to the collected impedance cardiogram and ECG signals, hemodynamic parameters such as heart rate (HR), stroke volume (SV), cardiac output (CO), stroke index (SI), cardiac index (CI), and cardiac contractility index (ICON) are calculated based on the Nyboer thoracic cylinder model. After testing, the key technical indicators of the system hardware are better than that of the relevant medical device standards. The system was used to collect impedance cardiogram and ECG signal data from 40 volunteers. The calculated HR, SV, and CO, three important hemodynamic indicators, were compared with the ICONCore non-invasive cardiac output monitor of OSYPKA Medical in Germany. Their Pearson correlation coefficients were 0.992 ( P<0.001), 0.948 ( P<0.001), and 0.933 ( P<0.001), respectively, verifying that the designed system has high accuracy and reliability.
Cardiography, Impedance/methods* ; Humans ; Hemodynamic Monitoring/methods* ; Equipment Design ; Signal Processing, Computer-Assisted ; Hemodynamics ; Algorithms ; Monitoring, Physiologic/methods* ; Electrocardiography

OBJECTIVE: To investigate cisplatin-induced cardiovascular toxicity and explore the protective effects and potential mechanism of curcumin co-treatment. METHODS: Forty adult male Sprague-Dawley rats were numbered and randomly divided into control group, cisplatin group (7.5 mg/kg, once a week, for 2 weeks), curcumin group (200 mg/kg per day, for 2 weeks) and cisplatin+curcumin group (cisplatin 7.5 mg/kg, once a week, and curcumin 200 mg/kg per day for 2 weeks) by a random number table method, with 10 rats in each group. Cardiac and vascular morphology and functions were assessed using hematoxylin-eosin and Masson's trichrome staining, serum indexes detection, echocardiography, electrocardiogram (ECG), blood pressure monitoring, vascular ring isometric tension measurement, and left ventricular pressure evaluation. The expressions of extracellular signal-regulated kinases (ERK) and phosphorylated-ERK (p-ERK) were analyzed by immunohistochemical staining. RESULTS: Cisplatin treatment induced notable cardiac alteration, as evidenced by changes in cardiac morphology, elevated serum enzymes (P<0.05), ECG abnormalities, and increased left ventricular end-diastolic pressure (P<0.05). Meanwhile, cisplatin significantly increased arterial pulse pressure (P<0.01), primarily due to a decrease in diastolic blood pressure. Severe fibrosis was also observed in the thoracic aorta wall. In vascular ring experiments, cisplatin treatment led to a significant reduction in phenylephrine-induced contraction (P<0.05) and acetylcholine-induced relaxation (P<0.01). Notably, Curcumin co-administration significantly alleviated cisplatin-induced cardiovascular damages, as demonstrated by improvement in these parameters. Furthermore, ERK expression in the myocardium and p-ERK expression in vascular smooth muscle cells were significantly upregulated following curcumin co-treatment. CONCLUSIONS Curcumin protects the heart and vasculature from cisplatin-induced damages, likely by upregulating ERK/p-ERK expression. These findings suggest that curcumin may serve as a promising therapeutic strategy for mitigating cisplatin-associated cardiovascular toxicity during tumor chemotherapy. In vitro cell culture experiments are needed to clarify the underlying mechanism.
Animals ; Curcumin/therapeutic use* ; Cisplatin/adverse effects* ; Rats, Sprague-Dawley ; Male ; Up-Regulation/drug effects* ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Phosphorylation/drug effects* ; Electrocardiography ; Blood Pressure/drug effects* ; Rats ; MAP Kinase Signaling System/drug effects*

In the field of medicine and cardiology, there is perhaps no other condition or situation that stimulates an adrenalin rush for the healthcare team than a patient presenting with wide QRS complex tachycardia. These cases may be potentially fatal and are usually associated with worse outcomes. While the real-world experience in the evaluation and management of these cases can be chaotic situations, a careful, systematic and organized scrutiny of the electrocardiographic tracing is key to obtaining a correct diagnosis and proceeding with the right therapeutic management. An understanding of the physiological mechanisms of arrhythmia, the appreciation of scientific basis for electrocardiographic features and recognition of different criteria for diagnosis provides endless opportunities and “teachable moments” in medicine. For both learners and teachers, the academic discussion of these points and features can be an exciting journey and electrifyingly educational experience. This article provides a simplified yet beautifully complicated approach to diagnosing wide complex tachycardia.

Human ; Tachycardia, Ventricular ; Electrocardiography ; Ecg

OBJECTIVES: To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population. METHODS: The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves. RESULTS: The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability. CONCLUSIONS The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans ; Atrial Fibrillation/epidemiology* ; Electrocardiography ; Middle Aged ; Male ; Female ; China/epidemiology* ; Proportional Hazards Models ; Adult ; Risk Factors ; Risk Assessment ; East Asian People