ABSTRACT
Background: Chronic hepatitis C (CHC) infection is a potentially life-threatening condition characterized by various complications, including end-stage liver disease and cirrhosis. The mortality rate associated with CHC has been increasing due to the presence of comorbidities and the use of chronic medications. Therefore, the objective of this study was to investigate the impact of these comorbidities and chronic medications on the treatment plan for CHC. Methods: To achieve this objective, a cross-sectional retrospective study was conducted at a tertiary hospital in Jeddah, Saudi Arabia. The study population included patients aged 12 years and above who were diagnosed with CHC between 2016 and 2021. Patients below the age of 12 were excluded from the study. A total of 170 patients with CHC were included in the analysis. The study aimed to evaluate the relationship between CHC complications and the treatment approach. Results: The mean age of the study participants was 66.78 years, with a higher proportion of female patients. The findings revealed a significant association between hypertension (p = 0.042) and cirrhosis (p = 0.007) with changes in the treatment plan for CHC. Moreover, the presence of diabetes mellitus (p = 0.045), renal diseases (p < 0.001), and hypothyroidism (p = 0.004) were significantly associated with HCV clearance after the initiation of therapy. Additionally, the use of proton pump inhibitors (p = 0.033) and levothyroxine (p = 0.025) was found to be associated with a higher rate of CHC clearance. Conclusion: In conclusion, this study highlights the prevalence of comorbid conditions and the use of chronic medications among patients with CHC. The findings emphasize the importance of considering the effects of comorbidities and chronic medications when developing treatment plans for CHC infections. By taking these factors into account, healthcare professionals can optimize the management of CHC and improve patient outcomes.
ABSTRACT
OBJECTIVES: This study aimed to analyze all the reported cases of definitive infective endocarditis, based on the modified Duke criteria in a tertiary hospital over the past five years, focusing on the causative organism/s, predisposing factors, and outcomes. METHODS: This is a cross-sectional retrospective study. Patients with a confirmed diagnosis of infective endocarditis using modified Duke criteria were included. The demographic data, predisposing factors, the causative microorganisms, laboratory and echocardiography results, and treatment were collected. RESULTS: In total, 37 patients were identified, 22 were male, and the median age was 59 years. Native valve endocarditis was found in 29 (78.3%) patients. The most frequently involved valves were the mitral valve in eight (42.1%) and aortic valve in six (31.6%) patients. Fever occurred in 22 patients (59.5%). The most frequent organisms were Staphylococcus aureus in 14 (37.4%) patients, coagulase-negative staphylococci in seven (18.9%) patients, and streptococci in seven (18.9%) patients. The majority (n=27) of the patients (72.97%) were treated medically, with 10 (27.02%) requiring in-hospital surgical intervention. The in-hospital mortality rate was 24.3%. Late presentation, reluctance to undergo surgery, and the past history of rheumatic fever were the contributing factors. CONCLUSION: Native valve endocarditis is the major type of infective endocarditis. The most frequent organisms were Staphylococcus aureus, Streptococcus, and coagulase-negative staphylococci. In our study, infective endocarditis was more common among males, surgical intervention was low, and a high in-hospital mortality rate was noted in our series.
ABSTRACT
Calcium dynamics is crucial for many signaling pathways and cell functions. Understanding how calcium regulates cell function often requires long-term imaging of calcium dynamics. Here we report a methodological approach of long-term (5-10 h) imaging of calcium dynamics in cultured cells. The approach links calcium imaging using genetically encoded calcium indicators and semi-automatic tracking of individual cells. It can be used in a large variety of situations, ranging from the role of calcium in biological processes to cell heterogeneity and screening of drugs modifying signaling pathways.
