Impacts of the COVID-19 Pandemic on the CODE ST-Segment Elevation Myocardial Infarction Program: A Quantitative and Qualitative Analysis.

BACKGROUND: The code ST-segment elevation myocardial infarction (STEMI) program is an operational standard of integrated service for STEMI patients carried out by Dr. Cipto Mangunkusumo Hospital. The emerging coronavirus disease 2019 (COVID-19) outbreak brought about many changes in the management of healthcare services, including the code STEMI program. This study aimed to evaluate the healthcare service quality of the Code STEMI program during the COVID-19 pandemic based on the Donabedian concept.  Methods: This was a mixed-methods study using quantitative and qualitative analyses. It was conducted at the Dr. Cipto Mangunkusumo Hospital, a national referral hospital in Indonesia. We compared the data of each patient, including response time, clinical outcomes, length of stay, and cost, from two years between 2018-2020 and 2020-2022 as the pre-COVID-19 code STEMI and COVID-19 Code STEMI periods, respectively. Interviews were conducted to determine the quality of services from the perspectives of stakeholders. RESULTS: A total of 195 patients participated in the study: 120 patients in pre-COVID-19 code STEMI and 75 patients in COVID-19 code STEMI. Our results showed that there was a significant increase in patient's length of stay during the COVID-19 pandemic (4 days vs. 6 days, p < 0.001). Meanwhile, MACE (13% vs. 11%, p = 0.581), the in-hospital mortality rate (8% vs. 5%, p = 0.706), door-to-wire crossing time (161 min vs. 173 min, p = 0.065), door-to-needle time (151 min vs. 143 min p = 0.953), and hospitalization cost (3,490 USD vs. 3,700 USD, p = 0.945) showed no significant changes. In terms of patient satisfaction, patients found code STEMI during COVID-19 to be responsive and excellent. CONCLUSION: The implementation of the code STEMI program during the COVID-19 pandemic revealed that modified pathways were required because of the COVID-19 screening process. According to the Donabedian model, during the pandemic, the code STEMI program's healthcare service quality decreased because of a reduction in efficacy, effectiveness, efficiency, and optimality. Despite these limitations attributed to the pandemic, the code STEMI program was able to provide good services for STEMI patients.

Detecting Left Heart Failure in Echocardiography through Machine Learning: A Systematic Review.

Background: Heart failure remains a considerable burden to healthcare in Asia. Early intervention, mainly using echocardiography, to assess cardiac function is crucial. However, due to limited resources and time, the procedure has become more challenging during the COVID-19 pandemic. On the other hand, studies have shown that artificial intelligence (AI) is highly potential in complementing the work of clinicians to diagnose heart failure accurately and rapidly. Methods: We systematically searched Europe PMC, ProQuest, Science Direct, PubMed, and IEEE following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and our inclusion and exclusion criteria. The 14 selected works of literature were then assessed for their quality and risk of bias using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). Results: A total of 2105 studies were retrieved, and 14 were included in the analysis. Five studies posed risks of bias. Nearly all studies included datasets in the form of 3D (three dimensional) or 2D (two dimensional) images, along with apical four-chamber (A4C) and apical two-chamber (A2C) being the most common echocardiography views used. The machine learning algorithm for each study differs, with the convolutional neural network as the most common method used. The accuracy varies from 57% to 99.3%. Conclusions: To conclude, current evidence suggests that the application of AI leads to a better and faster diagnosis of left heart failure through echocardiography. However, the presence of clinicians is still irreplaceable during diagnostic processes and overall clinical care; thus, AI only serves as complementary assistance for clinicians.

Post COVID-19 Syndrome Monitoring in Confirmed COVID-19 Patients with Telemedicine at Cipto Mangunkusumo Hospital.

BACKGROUND: The incidence of post-covid-19 syndrome is quite high and requires further monitoring after the patient is discharged from treatment. So we need a proper monitoring method and description of the Covid-19 syndrome in Indonesia.  Methods: This retrospective cohort study with total sampling method uses data from medical records and telemedicine observations of confirmed COVID-19 patients who received treatment in the Kiara room at Cipto Mangunkusumo. The data were then analyzed using chi-squared and multinomial logistic regression techniques. RESULTS: A total of 133 samples were used, including 44.4% male and 55.6% female, with an average age Standard Deviation (SD) of 40.36 (17.94). The severity levels of Covid-19 were mild (66.9%). The most common post-Covid-19 symptom manifestations was cough expressed at the first follow-up (first week after recovery) and second follow-up (the fourth week after recovery). Furthermore, the significant relationship between severity levels and post-Covid-19 symptomatic syndrome outcomes is the critical headache or vertigo symptoms with an RR of 8.70 (95% CI, 1.10-68.69,). In comparison, the telemedicine quality assessment was declared good, as shown by 98.7% of an examined sample. CONCLUSION: The most manifestation shown in the first and fourth week of follow-up is cough. Other symptoms tend to decrease in the second follow-up. The severity level associated with post-Covid-19 manifestations are severe-critical with headache or vertigo as a risk factor and mild with symptoms of headache or vertigo as a preventative. Meanwhile, the quality of telemedicine services was recognized as good by the majority of the sample.

Learning Intelligent for Effective Sonography (LIFES) Model for Rapid Diagnosis of Heart Failure in Echocardiography.

BACKGROUND: The accuracy of an artificial intelligence model based on echocardiography video data in the diagnosis of heart failure (HF) called LIFES (Learning Intelligent for Effective Sonography) was investigated. METHODS: A cross-sectional diagnostic test was conducted using consecutive sampling of HF and normal patients' echocardiography data. The gold-standard comparison was HF diagnosis established by expert cardiologists based on clinical data and echocardiography. After pre-processing, the AI model is built based on Long-Short Term Memory (LSTM) using independent variable estimation and video classification techniques. The model will classify the echocardiography video data into normal and heart failure category. Statistical analysis was carried out to calculate the value of accuracy, area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratio (LR). RESULTS: A total of 138 patients with HF admitted to Harapan Kita National Heart Center from January 2020 to October 2021 were selected as research subjects. The first scenario yielded decent diagnostic performance for distinguishing between heart failure and normal patients. In this model, the overall diagnostic accuracy of A2C, A4C, PLAX-view were 92,96%, 90,62% and 88,28%, respectively. The automated ML-derived approach had the best overall performance using the 2AC view, with a misclassification rate of only 7,04%. CONCLUSION: The LIFES model was feasible, accurate, and quick in distinguishing between heart failure and normal patients through series of echocardiography images.

Prognostic Scoring System for Mortality of Hospitalized COVID-19 Patients in Resource-Limited Settings: A Multicenter Study from COVID-19 Referral Hospitals.

BACKGROUND: Many studies identified the risk factors and prognostic factors related to in-hospital COVID-19 mortality using sophisticated laboratory tests. Cost and the availability of supporting blood tests may be problematic in resource-limited settings. This multicenter cohort study was conducted to assess the factors associated with mortality of COVID-19 patients aged 18 years and older, based on history taking, physical examination, and simple blood tests to be used in resource-limited settings. METHODS: The study was conducted between July 2020 and January 2021 in five COVID-19 referral hospitals in Indonesia. Among 1048 confirmed cases of COVID-19, 160 (15%) died during hospitalization. RESULTS: Multivariate analysis showed eight predictors of in-hospital mortality, namely increased age, chronic kidney disease, chronic obstructive pulmonary disease, fatigue, dyspnea, altered mental status, neutrophil-lymphocyte ratio (NLR) ≥ 5.8, and severe-critical condition. This scoring system had an Area-under-the-curve (AUC) of 84.7%. With cut-off score of 6, the sensitivity was 76.3% and the specificity was 78.2%. CONCLUSION: The result of this practical prognostic scoring system may be a guide to decision making of physicians and help in the education of family members related to the possible outcome.

The enhanced recovery after surgery (ERAS) protocol implementation in a national tertiary-level hospital: a prospective cohort study.

Introduction: Successful colorectal surgery is determined based on postoperative mortality and morbidity rates, complication rates, and cost-effectiveness. One of the methods to obtain an excellent postoperative outcome is the enhanced recovery after surgery (ERAS) protocol. This study aims to see the effects of implementing an ERAS protocol in colorectal surgery patients. Methods: Eighty-four patients who underwent elective colorectal surgery at National Tertiary-level Hospital were included between January 2021 and July 2022. Patients were then placed into ERAS (42) and control groups (42) according to the criteria. The Patients in the ERAS group underwent a customized 18-component ERAS protocol and were assessed for adherence. Postoperatively, both groups were monitored for up to 30 days and assessed for complications and readmission. The authors then analyzed the length of stay and total patient costs in both groups. Results: The length of stay in the ERAS group was shorter than the control group [median (interquartile range) 6 (5-7) vs. 13 (11-19), P<0.001], with a lower total cost of [USD 1875 (1234-3722) vs. USD 3063 (2251-4907), P<0.001]. Patients in the ERAS group had a lower incidence of complications, 10% vs. 21%, and readmission 5% vs. 10%, within 30 days after discharge than patients in the control group; however, the differences were not statistically significant. The adherence to the ERAS protocol within the ERAS group was 97%. Conclusion: Implementing the ERAS protocol in colorectal patients reduces the length of stay and total costs.

Operability of atrial septal defect with borderline pulmonary vascular resistance index: A study in developing country.

Background: Pulmonary arterial hypertension secondary to atrial septal defect (ASD) is an important determinant of morbidity and mortality in defect closure. We aimed to compare perioperative outcome between preoperative borderline and low pulmonary vascular resistance index (≥4 WU.m2 and <4 WU.m2, respectively) in surgical closure of secundum atrial septal defect with concomitant pulmonary arterial hypertension. Methods and results: This was a single-center retrospective cohort study between January 2015 and January 2020. We classified patients with low and borderline PVRI who underwent ASD closure and recorded the perioperative outcomes. Results: We analyzed a total of 183 patients with atrial septal defect and pulmonary arterial hypertension; 92 patients with borderline PVRI and 91 patients with low PVRI. Borderline pulmonary vascular resistance index was not associated with increased risk of postoperative mortality (p = 0.621; OR0.48, 95% CI 0.04-5.48), but associated with higher risk of overall morbidity in bivariate analysis (p = 0.002; OR3.28, 95% CI 1.5-6.72). Multivariate analysis showed positive association of borderline pulmonary vascular resistance index (p = 0.045; OR2.63, 95% CI 1.02-6.77) and preoperative tricuspid valve gradient ≥64 mmHg (p = 0.034; OR2.77, 95% CI 1.08-7.13) with overall morbidity. Conclusion: There is no difference in incidence of in-hospital mortality between preoperative borderline and low pulmonary vascular resistance index patients. However, preoperative borderline pulmonary vascular resistance index and tricuspid valve gradient ≥64 mmHg are associated with increased overall morbidity after surgical closure in secundum atrial septal defect patients with pulmonary arterial hypertension.

Effects of the COVID-19 pandemic on the management of ST-Segment elevation myocardial infarction in Indonesia: a cohort study.

Background: ST-segment elevation myocardial infarction (STEMI) is a form of acute coronary syndrome with high mortality rate. Management of STEMI should be performed as soon as possible to prevent further damage. With the emergence of coronavirus disease 2019 (COVID-19), it may face obstacles. To overcome those problems, some changes in policy focusing on fibrinolytic therapy in STEMI patients have been applied. This study aimed to identify the effects of COVID-19 in management of STEMI patients in Indonesia. Methods: This retrospective study was conducted in Dr. Cipto Mangunkusumo Hospital (CMH), the national referral center in Indonesia. We compared data between 2018 to 2019 and 2020 to 2021 as before and during COVID-19 pandemic period, respectively. We analyzed the effects of COVID-19 on STEMI patients' visits to hospital i.e., monthly hospital admission and symptoms-to-hospital, management of STEMI i.e., the strategies and time of reperfusion, and clinical outcomes of STEMI patients i.e., major adverse coronary event and mortality. Results: There was a significant statistically reduced mean of monthly hospital admissions from 11 to 7 (p = 0.002) and prolonged duration of symptoms-to-hospital during COVID-19 from 8 to 12 hours (p = 0.005). There was also a decrease in primary percutaneous coronary intervention (PPCI) procedures during COVID-19 (65.2% vs. 27.8%, p<0.001), which was accompanied by an increased number of fibrinolytic (1.5% vs. 9.5%, p<0.001) and conservative therapy (28.5% vs. 55.6%, p <0.01). Moreover, there was also a prolonged duration of diagnosis-to-wire-crossing time (160 vs. 186 minutes, p = 0.005), meanwhile, percentage of urgent PCI, door-to-needle time, and clinical outcomes were not statistically significant. Conclusions: During COVID-19 pandemic, the number STEMI patients declined in monthly hospital admission, delays in symptoms-to-hospital time, changes in type of reperfusion strategy, and delays in PPCI procedures in CMH. Meanwhile, fibrinolytic time and clinical outcomes were not affected.

Usefulness of the CODE ST-Segment Elevation Myocardial Infarction Program to Improve Quality Assurance in Patients With ST-Segment Elevation Myocardial Infarction.

The highest mortality rate associated with acute coronary syndrome is observed in patients with ST-segment elevation myocardial infarction (STEMI). Quality care in STEMI management depends on timely reperfusion of the ischemic coronary artery. The CODE STEMI program has been developed to reduce delays and serves as a method to improve quality care in patients with STEMI. Our study aimed to investigate the effects of implementing the CODE STEMI program on quality care and hospital marketing strategy. Our research was a descriptive study with mixed evaluation methods. We enrolled 207 patients with STEMI who underwent primary percutaneous coronary intervention from 2015 to 2018. We used quantitative methods by tracking medical records and administrative documents, as well as qualitative methods by observation and in-depth interviews. Statistical analysis was done using Mann-Whitney and chi-square tests. Our study demonstrated reduced door-to-balloon time, total cost, and length of stay of patients with STEMI who were treated with the CODE STEMI program (p <0.001, p <0.001, and p = 0.009, respectively). In addition, there was a likely decrease in major adverse cardiac event incidence and mortality rate after the implementation of CODE STEMI. The hospital and patients expressed their satisfaction with the CODE STEMI program. The program proved to have good efficacy, effectiveness, optimality, acceptability, legitimation, and equity. It also met the marketing mix principles, which included increasing the total number of patients with cardiovascular diseases as well as increasing levels of public trust in STEMI management. In conclusion, the CODE STEMI program has a positive impact on quality care and hospital marketing strategy.

Case Report: Left atrial myxoma with confirmed Delta variant COVID-19 infection, "to treat or withhold".

Primary cardiac tumors (PCTs) are extremely rare entities. More than half of PCTs are benign, with myxoma being the most common tumor. Generally, simple tumor resection is the treatment of choice for benign PCTs since it has promising results that yield low complication and recurrence rates. However, in the COVID-19 pandemic era, the mitigation protocols and/or concurrent COVID-19 infection should be taken into account in patient management for the best overall outcome. To our knowledge, this is the first case report of a patient with a left atrial myxoma and systemic embolism complication in the form of an ischemic stroke, with a concurrent confirmed COVID-19 delta variant infection.