scholarly journals Profile of infective endocarditis at a tertiary-care hospital in Japan over a 14-year period: characteristics, outcome and predictors for in-hospital mortality

2015 ◽  
Vol 33 ◽  
pp. 62-66 ◽  
Author(s):  
Ryota Hase ◽  
Yoshihito Otsuka ◽  
Kazuki Yoshida ◽  
Naoto Hosokawa
2020 ◽  
Vol 14 (4) ◽  
pp. 328-334
Author(s):  
Nousheen Iqbal ◽  
Muhammad Irfan ◽  
Faraz Siddique ◽  
Verda Arshad ◽  
Ali Bin Sarwar Zubairi

Author(s):  
Saima Kanwal ◽  
Sara Sajid ◽  
Noreen Nasir ◽  
Syed Ahsan ◽  
Aysha Almas

Abstract In 2015, Karachi saw its first ever epidemic of severe heat-related illnesses that resulted in an extraordinary number of hospital admissions, especially in the intensive care, for fatal heat stroke within-hospital mortality of 3.7%.We conducted this study to elucidate the patient-related factors that lead to an increase in hospital admissions with heat-related illnesses in a tertiary care hospital. It was a descriptive case series conducted in the department of medicine at the Aga Khan University in June 2015. A total of 134 patients were admitted with heat-related illnesses of which 76(56.7%) were males. The mean age of the patients was 66 ±14.5 years. Heatstroke was present in 86 (64.2%) patients, followed by heat exhaustion in 48 (35.8%) and in-hospital mortality from heat-related illnesses was 5(3.7%). Continuous...  


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Lulu Ma ◽  
Ying Ge ◽  
Haobo Ma ◽  
Bo Zhu ◽  
Qi Miao

2014 ◽  
Vol 7 (5) ◽  
pp. 400-406 ◽  
Author(s):  
Seif Salem Al Abri ◽  
Faisal Iqbal Zahedi ◽  
Padmamohan J. Kurup ◽  
Amina K. Al-Jardani ◽  
Nicholas J. Beeching

2004 ◽  
Vol 8 (3) ◽  
pp. 163-170 ◽  
Author(s):  
Muhammad Tariq ◽  
Mahboob Alam ◽  
Gulminay Munir ◽  
M.Ata Khan ◽  
Raymond A Smego

2009 ◽  
Vol 33 ◽  
pp. S4
Author(s):  
E. Keuleyan ◽  
K. Kirilov ◽  
S. Tete ◽  
E. Goshev ◽  
T. Anakieva ◽  
...  

2020 ◽  
Author(s):  
Md. Abdur Rafi ◽  
Md. Zahidus Sayeed ◽  
Papia Sultana ◽  
Saw Aik ◽  
Golam Hossain

Abstract Background: Delayed hospital presentation is a hindrance to the optimum clinical outcome of modern therapies of Myocardial infarction (MI). This study aimed to investigate the significant factors associated with prolonged pre-hospital delay and the impact of this delay on in-hospital mortality among patients with MI in Northern Bangladesh.Methods: This cross sectional study was conducted in December 2019 in cardiology ward of a 1000-bed tertiary care hospital of Bangladesh. Patients admitted in the ward with the diagnosis of myocardial infarction were included in the study. Socio demographic data, clinical features and patients’ health seeking behavior was collected in a structured questionnaire from the patients. Median with interquartile range (IQR) of pre hospital delay were calculated and compared between different groups. Chi-square (χ²) test and binary logistic regression were used to estimate the determinants of pre-hospital delay and effect of pre-hospital delay on in-hospital mortality.Results: 337 patients was enrolled in the study and their median (IQR) pre-hospital delay was 9.0 (13.0) hours. 39.5% patients admitted in the specialized hospital within 6 hours. In logistic regression, determinants of pre-hospital delay were patients age (for <40 years aOR 2.43, 95% CI 0.73-8.12; for 40 to 60 years aOR 0.44, 95% CI 0.21-0.93), family income (for lower income aOR 5.74, 95% CI 0.89-37.06; for middle income aOR 14.22, 95% CI 2.15-94.17), distance from primary care center £5 km (aOR 0.42, 95% CI 0.12-0.90), predominant chest pain (aOR 0.15, 95% CI 0.05-0.48), considering symptoms as non-significant (aOR 17.81, 95% CI 5.92-53.48), referral from primary care center (for government hospital aOR 4.45, 95% CI 2.03-9.74; for private hospital OR 98.67, 95% CI 11.87-820.34); (R2= 0.528) and not having family history of MI (aOR 2.65, 95% CI 1.24-5.71). Risk of in-hospital mortality was almost four times higher who admitted after 6 hours compared to their counterpart (aOR 0.28, 95% CI 0.12-0.66); (R2 =0.303).Conclusion: Some modifiable factors contribute to higher pre-hospital delay of MI patients, resulting in increased in-hospital mortality. Patients’ awareness about cardiovascular diseases and improved referral pathway of the existing health care system may reduce this unexpected delay.


2020 ◽  
Author(s):  
Md. Abdur Rafi ◽  
Md. Zahidus Sayeed ◽  
Papia Sultana ◽  
Saw Aik ◽  
Golam Hossain

Abstract Background: Delayed hospital presentation is a hindrance to the optimum clinical outcome of modern therapies of Myocardial infarction (MI). This study aimed to investigate the significant factors associated with prolonged pre-hospital delay and the impact of this delay on in-hospital mortality among patients with MI in Northern Bangladesh.Methods: This cross sectional study was conducted in December 2019 in cardiology ward of a 1000-bed tertiary care hospital of Bangladesh. Patients admitted in the ward with the diagnosis of myocardial infarction were included in the study. Socio demographic data, clinical features and patients’ health seeking behavior was collected in a structured questionnaire from the patients. Median with interquartile range (IQR) of pre hospital delay were calculated and compared between different groups. Chi-square (χ²) test and binary logistic regression were used to estimate the determinants of pre-hospital delay and effect of pre-hospital delay on in-hospital mortality.Results: 337 patients was enrolled in the study and their median (IQR) pre-hospital delay was 9.0 (13.0) hours. 39.5% patients admitted in the specialized hospital within 6 hours. In logistic regression, determinants of pre-hospital delay were patients age (for <40 years aOR 2.43, 95% CI 0.73-8.12; for 40 to 60 years aOR 0.44, 95% CI 0.21-0.93), family income (for lower income aOR 5.74, 95% CI 0.89-37.06; for middle income aOR 14.22, 95% CI 2.15-94.17), distance from primary care center £5 km (aOR 0.42, 95% CI 0.12-0.90), predominant chest pain (aOR 0.15, 95% CI 0.05-0.48), considering symptoms as non-significant (aOR 17.81, 95% CI 5.92-53.48), referral from primary care center (for government hospital aOR 4.45, 95% CI 2.03-9.74; for private hospital OR 98.67, 95% CI 11.87-820.34); (R2= 0.528) and not having family history of MI (aOR 2.65, 95% CI 1.24-5.71). Risk of in-hospital mortality was almost four times higher who admitted after 6 hours compared to their counterpart (aOR 0.28, 95% CI 0.12-0.66); (R2 =0.303).Conclusion: Some modifiable factors contribute to higher pre-hospital delay of MI patients, resulting in increased in-hospital mortality. Patients’ awareness about cardiovascular diseases and improved referral pathway of the existing health care system may reduce this unexpected delay.


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