A study on 55 healthy people who go for periodic consulting at friendship hospital were conducted from Dec 2002-to Dec 2003. They were divided into two groups: 1st group: 33 people > 60years old, 2nd group: 22 people from 45 to 60 years old. The result showed that the rate on sex is rather equivalent between two groups. There is no difference between two groups on the number of thrombocyte and thrombocyte condensation. The rate of thrombocyte condensation in group from 60 to <75 years old is higher than group from 45 to <60 years old with p<0.05. The rate of thrombocyte condensation in the group of 75 years or more is higher than group from 45 to <60 years old with p<0.05. The rate of thrombocyte condensation in the group of 75 years upward is higher than group 60 to <75, p<0.05. The rate of thrombocyte condensation has directly proportional relation to the age.
Blood Platelets ; Aged

101 male patient with diagnosis of acute myocardial infarction were involved in study. The participants have ages ranged from 42 to 85 (mean 62.13+/-8.17). Out of these patients, 4.9% had not a chest pain. 20% of patients had a severe angina and 40.6% of these had a mild angina. Time delay in admission of patients with severe chest pain was shortest (4.55 hours) and that of the patients with mild chest pain was longest (75.61 hours)
Myocardial Infarction ; Chest Pain ; diagnosis

101 men were diagnosed acute myocardial infarction. Of these patients 4.9% hadn't a chest pain, 20% had a severe angina, 40.6% a mild angina. The time delay of the patients with severe angina was the shortest (4.55h) while that of the patients with mild angina was the longest (75.61h)
Chest Pain ; Myocardial Infarction ; diagnosis

Objectives: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Here we introduce a digital tool called 'BONEcheck' for personalized assessment of bone health. Methods: The development of BONEcheck primarily utilized data from the prospective population-based Dubbo Osteoporosis Epidemiology Study and the Danish Nationwide Registry. BONEcheck has 3 modules: input data, risk estimates, and risk context. Input variables include age, gender, prior fracture, fall incidence, bone mineral density (BMD), comorbidities, and genetic variants associated with BMD. Results: Based on the input variables, BONEcheck estimates the probability of any fragility fracture and hip fracture within 5 years, subsequent fracture risk, skeletal age, and time to reach osteoporosis. The probability of fracture is shown in both numeric and human icon array formats. The risk is also contextualized within the framework of treatment and management options on Australian guidelines, with consideration given to the potential fracture risk reduction and survival benefits. Skeletal age was estimated as the sum of chronological age and years of life lost due to a fracture or exposure to risk factors that elevate mortality risk. Conclusions BONEcheck is an innovative tool that empowers doctors and patients to engage in wellinformed discussions and make decisions based on the patient's risk profile. Public access to BONEcheck is available via https://bonecheck.org and in Apple Store (iOS) and Google Play (Android).

Objective: To explore the correlation of 24-hour ambulatory blood pressure (BP) monitoring (ABPM) parameters and cardiovascular risk factors in older adults with high-risk hypertension. Material and method: A cross-sectional study was conducted on 96 older adults (≥ 60 years old) with treated high-risk hypertension. Socio-demographic and cardiovascular risk information were gathered. The patients were performed 24-hour ABPM. Results: The mean age was 70.88 ± 7.86 years, and 64.6% were women. The prevalence of cardiovascular risk factors was as follows: dyslipidemia: 80.2%, family history of hypertension: 54.2%, diabetes mellitus: 51%, smoking: 24%, prior stroke: 11.5%. Significant differences in 24-hour, awake, and sleep systolic BP were observed between men and women. There were significant correlations between 24-hour mean systolic BP with age (r = 0.229, p = 0.025), dyslipidemia (r = 0.223, p = 0.029), family history of hypertension (r = 0.214, p = 0.036), BMI (r = 0.212, p = 0.039), waist circumference (r = 0.226, p = 0.027) and creatinine level (r = 0.207, p = 0.043). There were significant correlations between 24-hour mean diastolic BP with BMI (r = 0.289, p = 0.004) and prior stroke (r = -0.224, p = 0.029). There were significant correlations between 24-hour mean BP with BMI (r = 0.268, p = 0.009), waist circumference (r = 0.220, p = 0.032) and prior stroke (r = -0.215, p = 0.036). Conclusion: There were significant correlations between ABPM parameters and cardiovascular risk factors in older adults with high-risk hypertension.

Objective: To assess the knowledge and attitude toward coronavirus disease-2019 (COVID-19) among healthcare workers at District 2 Hospital in Ho Chi Minh City (HCMC). Methods: A cross-sectional study was performed between January 2020 and February 2020 at District 2 Hospital. A systematic random sampling strategy was carried out and the data was collected through a self-administered questionnaire of the knowledge and attitude of healthcare workers regarding COVID-19. Descriptive analysis was reported to describe the demographic, mean knowledge and attitude score of healthcare workers. Inferential statistics including t-test, ANOVA and Spearman's correlation were used to evaluate the relationship between study variables. Results: A total of 327 eligible healthcare workers had a mean score of knowledge and attitude of 8.17±1.3 (range 4-10) and 1.86±0.43 (range 1-5), respectively. They showed good knowledge and a positive attitude. However, approximately two thirds of the participants knew the mode of transmission, the isolation period and treatment (67.0%, 65.8%, and 58.4%, respectively), and 82.3% and 79.8%, respectively, held positive attitude regarding the risk of personal and family members getting illness. There was a negative correlation between knowledge scores and attitude scores (r=-0.21, P<0.001). Additionally, healthcare workerspredominately used social media to inform themselves about COVID-19 (91.1%). Conclusions: The majority of healthcare workers had good knowledge and positive attitude toward COVID-19. However, the level of some knowledge and attitude lower than that expected for their position level towards the virus. Additional education interventions and campaigns are required for healthcare workers.