Purpose: The objective of this study was to compare the strategies adopted by the United Kingdom, Italy, China, India, and Saudi Arabia to contain the spread of the COVID-19 pandemic. Materials and Methods: A review of the literature was carried out to collect data on the strategies used by China, Italy, India, the United Kingdom, and Saudi Arabia to contain the spread of the COVID-19 virus. The global analysis of 65 published literature references allowed observing the effectiveness and efficiency of the strategies used by these countries to control the spread of the COVID-19 virus. Results: Both mitigation and suppression strategies were adopted by the United Kingdom, India, Italy, China, and Saudi Arabia to control the spread of the COVID-19 pandemic. It was observed that China has achieved a greater success in flattening the curve compared to the other countries. In China, few new daily cases have occurred since March, and it has been the only country that has managed to keep the COVID-19 pandemic under control. On the other hand, reductions in the number of daily cases (since May 2020) were detected in the United Kingdom, Italy, and Saudi Arabia (since July 2020). Also, during the last 3 months (June, July and August) India has shown the highest growth in the total number of confirmed cases and in the number of new daily cases, compared to the mentioned countries. Conclusion: The review of the strategies adopted by China, India, the United Kingdom, Italy and Saudi Arabia to combat the COVID-19 pandemic can guide countries in the design and development of mitigation and suppression approaches to control the spread of the COVID-19 virus. Containment strategies such as lockdowns cannot continue in the long term. Therefore, countries must adopt mitigation and prevention strategies to protect people from infection and learn to live with the virus.

Background: Artificial intelligence (AI) is a revolutionary tool yet to be fully integrated into several health care sectors, including medical imaging. AI can transform how medical imaging is conducted and interpreted, especially in cardio-oncology. Objective: This study aims to systematically review the available literature on the use of AI in cardio-oncology imaging to predict cardiotoxicity and describe the possible improvement of different imaging modalities that can be achieved if AI is successfully deployed to routine practice. Methods: We conducted a database search in PubMed, Ovid MEDLINE, Cochrane Library, CINAHL, and Google Scholar from inception to 2023 using the AI research assistant tool (Elicit) to search for original studies reporting AI outcomes in adult patients diagnosed with any cancer and undergoing cardiotoxicity assessment. Outcomes included incidence of cardiotoxicity, left ventricular ejection fraction, risk factors associated with cardiotoxicity, heart failure, myocardial dysfunction, signs of cancer therapy–related cardiovascular toxicity, echocardiography, and cardiac magnetic resonance imaging. Descriptive information about each study was recorded, including imaging technique, AI model, outcomes, and limitations. Results: The systematic search resulted in 7 studies conducted between 2018 and 2023, which are included in this review. Most of these studies were conducted in the United States (71%), included patients with breast cancer (86%), and used magnetic resonance imaging as the imaging modality (57%). The quality assessment of the studies had an average of 86% compliance in all of the tool’s sections. In conclusion, this systematic review demonstrates the potential of AI to enhance cardio-oncology imaging for predicting cardiotoxicity in patients with cancer. Conclusions: Our findings suggest that AI can enhance the accuracy and efficiency of cardiotoxicity assessments. However, further research through larger, multicenter trials is needed to validate these applications and refine AI technologies for routine use, paving the way for improved patient outcomes in cancer survivors at risk of cardiotoxicity.

Background: Lifestyle modification interventions help prevent or postpone Type 2 Diabetes and its complications with diet modification and increasing physical activity. This is translational research of Tawazon-DPP in which we evaluate the efficacy of the intensive lifestyle modification program. Methods: Tawazon was piloted in 2 phases over 6 and 9 months at a Tertiary Hospital. Phase I was conducted in 2017 in one district facility with 47 participants while Phase II was conducted in 2018 in 4 district facilities with 247 participants. Data are collected retrospectively in a before-and-after study design. The program included adults with 25 kg/m² BMI and HbA1c ranging between 5.7 and 6.4 mmol/L, while excluding participants with comorbidities, such as cardiovascular conditions, musculoskeletal injuries, and pregnancy. Results: We used descriptive analysis as well as Wilcoxon rank sign test and McNemar-Bowker for before and after data comparisons. Phase I exhibited a mean age of 43± 7 years and statistically significant improvement in HbA1c (0.3 mmol/L), weight (3.3 kg), BMI (1 kg/m²), triglyceride (30.4 mg/dL) and LDL (14.67 mg/dL). Phase II exhibited a mean age of 45± 9 years with 70% above 40 years old. Significant improvement was also found in HbA1c (0.2 mmol/L), weight (5.1 kg), and BMI (1.8 kg/m²); the lipid profile in the second phase showed better results with significant improvement in total cholesterol (7.4 mg/dL), triglyceride (20.9 mg/dL), LDL (8.8 mg/dL), and (0.9 mg/dL) increase in HDL. Conclusion: This pilot has taken lifestyle interventions to real-life and it led to the favored and desired outcome. It showed that long-term guided support can help patients make the needed changes in their diet, habits, and physical activity, thus, prevent or delay the onset of Type 2 diabetes.

Background: Incident-reporting systems are designed to obtain information about events and situations affecting patient safety. These incidents can be used to inform individual and organizational learning and improvement opportunities for quality and patient safety. Aim: This study aims to evaluate incident reporting at the Johns Hopkins Aramco Healthcare (JHAH) since the implementation of Datix and the staff’s behavior towards incident reporting. Methods: This is a prospective, mixed methods study. Incident-reporting system reports are used to evaluate the volume of incident reporting before and after implementing the new software. A questionnaire was developed to assess the attitude of hospital staff members to reporting incidents in general and the use of Datix in particular. Results: Incident reporting increased in 2017 and 2018 by 51% and 57%, respectively, using Datix compared with the previously implemented software. JHAH has 3812 active employees, with nearly 60% of them using Datix. The study received 377 survey responses (response rate approximately 10%). We received a majority of positive responses about the workplace safety culture and the value of the system. Conclusion: Implementation of the Datix reporting system resulted in an increased number of incident reports. An action plan was put in place that may improve incident reporting by further increasing awareness regarding the importance of reporting and supporting more training.

Introduction: The emergence of the coronavirus disease 2019 (COVID-19) pandemic has significantly impacted the globe. Understanding the association between the population’s demographical, clinical risk factors, and outcome of COVID-19 is essential for healthcare providers to develop guidelines and future care plans. This study reports all diagnosed COVID-19 and admitted to Johns Hopkins Aramco Healthcare (JHAH) for hospitalization from March to July 2020. Methods: This is a retrospective study that presents the demographic, epidemiological, clinical, laboratory, and imaging characteristics of our patients and determines risk factors contributing to their COVID-19 outcome. Results: The study included 656 patients (53% were male, 60% were older than 50 years of age, 87% were Saudi nationals, 5% pregnant, and 92% non-smokers patients). The source of infection was mostly unknown to the patient or healthcare provider (58%), followed by contact transmission (36%) and travel (5%). In addition, we found that the vast majority of hospitalized patients presented with symptoms (76%) with (90.4%) mild to moderate symptoms and have had stable hospital course during their hospitalization (82.1%). Over fifty percent of the patients had abnormal x-ray upon admission, (4.7%) were intubated, (20.3%) were admitted to an intensive care unit (ICU) or a step-down unit (SDU), and finally (5.3%) were deceased. Conclusion: The majority of the patients in this study had mild disease, and their outcome was associated with some chronic diseases, most significantly hypertension. However, the study did not demonstrate a statistically significant association between smoking and obesity and COVID-19 outcomes.

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the latest pandemic and the most significant challenge in public health worldwide. Studying the longevity of naturally developed antibodies is highly important clinically and epidemiologically. This paper assesses the longevity of antibodies developed against nucleocapsid protein amongst our health-care workers. Methods: This longitudinal cohort study was conducted at a tertiary hospital, Saudi Arabia. Anti-SARSsCoV-2 antibodies were tested among health-care workers at three-point intervals (baseline, eight weeks, and 16 weeks). Results: Of the 648 participants, 112 (17.2%) tested positive for Coronavirus (COVID-19) by PCR before the study. Of all participants, 87 (13.4%) tested positive for anti-SARS-CoV-2 antibodies, including 17 (2.6%) participants who never tested positive for COVID-19 using rt-PCR. Out of the 87 positive IgG participants at baseline, only 12 (13.7%) had remained positive for anti-SARS-CoV-2 antibodies by the end of the study. The IgG titer showed a significant reduction in values over time, where the median time for the confirmed positive rt-PCR subgroup from infection to the last positive antibody test was 70 (95% CI: 33.4– 106.5) days. Conclusion: Health-care workers are at high risk of exposure to the SARS-CoV-2 virus, and contracting an asymptomatic infection is not unlikely. Developing and sustaining natural immunity differs from one person to another, while the rate of positive IgG anti-SARS-CoV-2 wanes over time. Clinicaltrials.gov Identifier: NCT04469647, July 14, 2020.