Organ-On-A-Chip: An Emerging Research Platform

In drug development, conventional preclinical and clinical testing stages rely on cell cultures and animal experiments, but these methods may fall short of fully representing human biology. To overcome this limitation, the emergence of organ-on-a-chip (OOC) technology has sparked interest as a transformative approach in drug testing research. By closely replicating human organ responses to external signals, OOC devices hold immense potential in revolutionizing drug efficacy and safety predictions. This review focuses on the advancements, applications, and prospects of OOC devices in drug testing. Based on the latest advances in the field of OOC systems and their clinical applications, this review reflects the effectiveness of OOC devices in replacing human volunteers in certain clinical studies. This review underscores the critical role of OOC technology in transforming drug testing methodologies.

Comparison of Framingham Risk Scores (FRS), Joint British Society (JBS3), and American College of Cardiology/American Heart Association (ACC/AHA) Cardiovascular Risk Scores Among Adults With First Myocardial Infarction

INTRODUCTION

The prevalence of myocardial infarction (MI) among young Indian adults is on the rise with reports suggesting 32.7% of all deaths in men and 32.6% of all deaths in women between 2010-13 were due to cardiovascular diseases (CVDs). Though various long-term cohort studies have established risk assessment scores none of them are specific to the Indian population. In this study, we look to establish which scoring system among the American College of Cardiology (ACC), Joint British Society (JBS3) and Framingham Risk Scores (FRS) would be reliable for the Indian population. A timely intervention based on the most reliable score can help mitigate cardiovascular diseases.

MATERIALS AND METHODS

In this cross-sectional study, we included Indian adults, aged more than 40 years, with first MI. Patients previously on lipid lowering drugs were excluded. Demographic data, history, clinical information, laboratory data and other investigations were noted. Subsequently the predicted cardiovascular risk scores based on JBS3, ACC, and FRS were calculated and divided into low risk, intermediate and high risk based on the categorization of the risk scores individually.

RESULTS

There were 102 (79.1%) males and 23 (17.8%) females with a mean age of 51.01 years (standard deviation [SD]=12.82, p value <0.001). There was considerable prevalence of type 2 diabetes mellitus with 56 (47.1%) of the subjects being known diabetics. The mean 10-year risk of MI based on ACC was 12.42% (SD=10.45), mean JBS3 score was 14.45% (SD=12.67) and mean FRS score was 15.75% (SD=14.71). FRS scores when categorized, 48 (40.3%) patients had low risk, 30 (23.3%) had medium risk and 43 (33.3%) had high risk. As for ACC score, 39 (35.8%) patients were in low risk and 29 (26.6%) in intermediate risk, borderline in 18 (16.5%) and high risk in 23 (21.1%). In JBS3 scores, 53 (46.5%) patients were in low risk, 32 (28.1%) were in moderate risk and 29 (25.4%) in high risk.

CONCLUSION

 The absolute value of 10-year risk scores was highest for FRS scores. The proportion of patients whose scores were under the category of high risk was highest for FRS.

Clinical and Laboratory Profile of Patients Visiting the Post-COVID-19 Clinic at a Tertiary Care Hospital: A Cross-Sectional Study

Background: Coronavirus disease 2019 (COVID-19) survivors may continue experiencing diverse symptoms. This study portrays the clinical and laboratory profile of patients with post-acute sequelae of COVID-19’(PASC) at a tertiary care hospital in India. 

Methodology: This cross-sectional study enrolled patients visiting the post-COVID-19 clinic three weeks after their acute COVID-19 illness. Their clinical, serological, and radiological characteristics were collected and analyzed.

Results: Of the 259 participants (age: 48.02±15.27 years; 62.25% men), 168 had PASC manifestations. The most frequently reported symptoms were fatigue (n=71(42.26%)), breathlessness (n=38(22.61%)), and cough (n=35(20.83%)). Patients with PASC had higher body mass index (28.24±5.02 vs. 26.26±3.65; p=0.002), history of hypertension (52 (30.95%) vs. 17 (18.6%); p=0.039), uncontrolled systolic blood pressure (37 (22.03) vs. 14 (15.38); p=0.042), and persistent chest x-ray abnormalities (34 (20.23) vs. 10 (10.98); p=0.048).

Conclusion: Fatigue, breathlessness, and cough are common PASC symptoms. Hypertension, obesity, and abnormal chest x-ray findings at follow-up are potential risk factors for developing PASC.