scholarly journals Pre-hospital delay in patients with myocardial infarction: an observational study in a tertiary care hospital of northern Bangladesh

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 thus aims at finding the factors associated with prolonged pre-hospital delay and the impact of this delay on in hospital treatment outcome of MI patients of Northern Bangladesh. Methods: This cross sectional study was conducted in December 2019 in cardiology ward of a 1000 bed tertiary care hospital of Bangladesh. Socio demographic data, clinical features and patients’ health seeking behavior was collected in a structured questionnaire from the patients diagnosed as STEMI or non-STEMI. Median with interquartile range (IQR) of pre hospital delay were calculated and compared between different groups. Patients were classified into two groups, those who admitted within 6 hours and those who admitted after 6 hours. Chi-square (χ²) test and multivariate logistic regression were used to estimate the determinants associated with delayed hospital admission. Effect of pre-hospital delay was determined using univariate and multivariate logistic regression. 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) and not having family history of MI (aOR 2.65, 95% CI 1.24-5.71). Risk of in hospital death was almost 4 times higher who admitted after 6 hours in multivariate logistic regression (OR 4.64, 95% CI 1.87-11.50). Conclusion: Delayed hospital admission after onset of MI is more common in Bangladesh compared to developed countries. Appropriate measures should be taken by policy makers to improve this situation.

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.


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.


Cureus ◽  
2020 ◽  
Author(s):  
Mohammed S Alharbi ◽  
Bander K Alanazi ◽  
Ibrahim A Alquhays ◽  
Nawaf A Alhamied ◽  
Abdullah Al Shimemeri

Author(s):  
CH Karthik Reddy ◽  
Mahesh Krishnamurthy ◽  
Ashray Vasanthapuram ◽  
Girish Narayan ◽  
SS Narendra

Introduction: The incidence of Acute Coronary Syndrome (ACS) in the young has been increasing globally. Research in this population has been limited in developed countries or urban areas in developing countries. Identifying the various epidemiologic features in this age group is crucial to understand the disease. Aim: To describe the clinical characteristics of young adults presenting with ACS in a rural tertiary care hospital. Materials and Methods: This cross-sectional study included 50 patients diagnosed with ACS. Data were collected from consecutive patients between the ages of 18 to 45 years diagnosed with ACS between January 2014 to January 2015 in the Emergency Medicine Department of a tertiary care hospital in Davanagere, India. Data were collected on demographic characteristics, risk factors, laboratory tests, and angiographic findings. Range, mean and percentages were calculated for continuous and categorical variables, respectively. A 95% confidence intervals were calculated for all variables. Results: The mean age was 38.1±5.8 years with male preponderance 46 (92%). Risk factors were smoking 36 (72%), diabetes 17 (34%), hypertension 6 (12%) and Body Mass Index (BMI) >23 kg/m2, 36 (72%). Anterior Wall Myocardial Infarction (AWMI) was observed in 35 (70%) of subjects with angiography revealing Single Vessel Disease (SVD) 28 (56%), Double Vessel Disease (DVD) 5 (10%), Triple Vessel Disease (TVD) 3 (6%) and Myocardial Infarction with Non-Obstructive Coronary Artery Disease (MINOCA) 11 (22%). Three patients died during their course of treatment before initiating an interventional procedure. Conclusion: Smoking, diabetes mellitus and elevated BMI are associated with ACS among young patients. Interventions targeting these risk factors among younger individuals should be developed.


2013 ◽  
Vol 2 (1) ◽  
pp. 10-13 ◽  
Author(s):  
Ajay Risal ◽  
Pushpa Prasad Sharma ◽  
Rajkumar Karki

Background and Aims- Self-poisoning is the commonest mode of suicide in our part of the world. Patients attempting suicide by self-poisoning usually land up in the Emergency. They are admitted for management of medical complications and subsequently referred to Psychiatry for evaluation of possible Psychiatric illnesses. The aim of this study was to explore the patterns of psychiatric illnesses in the patients admitted for self-poisoning in a tertiary care center in Nepal. Methods- The study population included those patients who were admitted and being managed for self-poisoning and brought for psychiatric evaluation during the period of one year (1st June 2011- 30th June 2012) at Dhulikhel Hospital, Nepal. Each patient underwent a detailed psychiatric evaluation by a consultant psychiatrist once they were medically stable. Details including sociodemographic data, psychiatric diagnosis, and treatment offered and outcome was tabulated and analyzed using SPSS-16. Results- Among the total patients (N=100), 43 were in the age group 21-40 years, median age being 27.5. There was almost equal gender distribution. Majority was of Mongolian ethnicity, homemaker by occupation and married. More than 90% were single-attempters, suicidal attempt using organophosphorus compounds. Almost 50% had depression; family dispute (19%) and marital disharmony (17%) were the most common psychosocial precipitant. Conclusion- Patients with history of self-poisoning are commonly brought to the Emergency Department of any tertiary care hospital. It is widely prevalent on younger age group. It is usually by the use of Organophosphorus compound in our setting and most commonly associated with depression. Hence, psychiatric care is essential for these patients. Journal of Advances in Internal Medicine 2013;02(01):10-13 DOI: http://dx.doi.org/10.3126/jaim.v2i1.7630


Author(s):  
Shazia Damji ◽  
Jerrold Perrott ◽  
Salomeh Shajari ◽  
Jennifer Grant ◽  
Titus Wong ◽  
...  

BACKGROUND: Among hospitalized patients, a 48-hour window from time of hospitalization defines nosocomial infections and guides empiric antibiotic selection. This time frame may lead to overuse of broad-spectrum antibiotics. Our primary objective was to determine the earliest and median time since hospital admission to acquire antibiotic-resistant pathogens among patients admitted to the intensive care unit (ICU) of an academic, tertiary care hospital. METHODS: Retrospective chart review was conducted for adult patients admitted to the ICU from home or another hospital within the same health authority in 2018, to identify the time to acquisition of hospital-associated pathogens: methicillin-resistant Staphylococcus aureus, vancomycin-resistant Enterococci, extended-spectrum beta-lactamase (ESBL)–producing Enterobacterales, non-ESBL ceftriaxone-resistant Enterobacterales, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia. Patients transferred from hospitals outside the health authority, admitted to ICU after 14 days of hospitalization, who were solid organ or bone marrow transplant recipients, or who were otherwise immunocompromised were excluded. RESULTS: In 2018, 1,343 patients were admitted to this ICU; 820 met the inclusion criteria. Of these, 121 (14.76%) acquired a hospital-associated pathogen in the ICU. The probability of isolating a hospital-associated pathogen by 48 hours of hospital admission was 3%. The earliest time to isolate any of these pathogens was 29 hours, and the median was 9 days (interquartile range [IQR] 3.8–15.6 days). CONCLUSIONS: Most patients (85.3%) in this ICU never acquired a hospital-associated pathogen. The median time to acquire a hospital-associated pathogen among the remaining patients suggests that initiating empiric broad-spectrum antibiotics on the basis of a 48-hour threshold may be premature.


1998 ◽  
Vol 19 (4) ◽  
pp. 248-253 ◽  
Author(s):  
Mary V. Singer ◽  
Rachel Haft ◽  
Tamar Barlam ◽  
Mark Aronson ◽  
Amy Shafer ◽  
...  

ABSTRACTOBJECTIVE: Evaluate vancomycin prescribing patterns in a tertiary-care hospital before and after interventions to decrease vancomycin utilization.DESIGN: Before/after analysis of interventions to limit vancomycin use.SETTING: 420-bed academic tertiary-care center.INTERVENTIONS: Educational efforts began August 10, 1994, and involved lectures to medical house staff followed by mailings to all physicians and posting of guidelines for vancomycin use on hospital information systems. Active interventions began November 15, 1994, and included automatic stop orders for vancomycin at 72 hours, alerts attached to the medical record, and, for 2 weeks only, computer alerts to physicians following each vancomycin order. Parenteral vancomycin use was estimated from the hospital pharmacy database of all medication orders. Records of a random sample of 344 patients receiving van-comycin between May 1, 1994, and April 30, 1995, were reviewed for an indication meeting published guidelines.RESULTS: Vancomycin prescribing decreased by 22% following interventions, from 8.5 to 6.8 courses per 100 discharges (P<.05). The estimated proportion of van-comycin ordered for an indication meeting published guidelines was 36.6% overall, with no significant change following interventions. However, during the 2 weeks that computer alerts were in place, 60% of vancomycin use was for an approved indication.CONCLUSIONS: Parenteral vancomycin prescribing decreased significantly following interventions, but the majority of orders still were not for an indication meeting published guidelines. Further improvement in the appropriateness of vancomycin prescribing potentially could be accomplished by more aggressive interventions, such as computer alerts, or by targeting specific aspects of prescribing patterns.


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