scholarly journals The impact of cardiac and noncardiac comorbidities on the short-term outcomes of patients hospitalized with acute myocardial infarction: a population-based perspective

2013 ◽  
pp. 439 ◽  
Author(s):  
Robert Goldberg ◽  
Han-Yang Chen ◽  
Jane Saczynski ◽  
McManus ◽  
Lessard ◽  
...  
Author(s):  
Timo Schmitz ◽  
Christa Meisinger ◽  
Inge Kirchberger ◽  
Christian Thilo ◽  
Ute Amann ◽  
...  

AbstractThe aim of this study was to evaluate the impact of the COVID-19 pandemic lockdown on acute myocardial infarction (AMI) care, and to identify underlying stressors in the German model region for complete AMI registration. The analysis was based on data from the population-based KORA Myocardial Infarction Registry located in the region of Augsburg, Germany. All cases of AMI (n = 210) admitted to one of four hospitals in the city of Augsburg or the county of Augsburg from February 10th, 2020, to May 19, 2020, were included. Patients were divided into three groups, namely pre-lockdown, strict lockdown, and attenuated lockdown period. An additional survey was conducted asking the patients for stress and fears in the 4 weeks prior to their AMI. The AMI rate declined by 44% in the strict lockdown period; in the attenuated lockdown period the rate was 17% lower compared to the pre-lockdown period. The downward trend in AMI rates during lockdown was seen in STEMI and NSTEMI patients, and independent of sex and age. The door-to-device time decreased by 70–80% in the lockdown-periods. In the time prior to the infarction, patients felt stressed mainly due to fear of infection with Sars-CoV-2 and less because of the restrictions and consequences of the lockdown. A strict lockdown due to the Covid-19 pandemic had a marked impact on AMI care even in a non-hot-spot region with relatively few cases of COVID-19. Fear of infection with the virus is presumably the main reason for the drop in hospitalizations due to AMI.


Author(s):  
Jiyoung Shin ◽  
Jongmin Oh ◽  
In Sook Kang ◽  
Eunhee Ha ◽  
Wook Bum Pyun

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.


Open Heart ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. e001860
Author(s):  
Robert Zheng ◽  
Kenya Kusunose ◽  
Yuichiro Okushi ◽  
Yoshihiro Okayama ◽  
Michikazu Nakai ◽  
...  

BackgroundCardiovascular diseases are the second most common cause of mortality among cancer survivors, after death from cancer. We sought to assess the impact of cancer on the short-term outcomes of acute myocardial infarction (AMI), by analysing data obtained from a large-scale database.MethodsThis study was based on the Diagnosis Procedure Combination database in the Japanese Registry of All Cardiac and Vascular Diseases and the Diagnosis Procedure Combination. We identified patients who were hospitalised for primary AMI between April 2012 and March 2017. Propensity Score (PS) was estimated with logistic regression model, with cancer as the dependent variable and 21 clinically relevant covariates. The main outcome was in-hospital mortality.ResultsWe split 1 52 208 patients into two groups with or without cancer. Patients with cancer tended to be older (cancer group 73±11 years vs non-cancer group 68±13 years) and had smaller body mass index (cancer group 22.8±3.6 vs non-cancer 23.9±4.3). More patients in the non-cancer group had hypertension or dyslipidaemia than their cancer group counterparts. The non-cancer group also had a higher rate of percutaneous coronary intervention (cancer 92.6% vs non-cancer 95.2%). Patients with cancer had a higher 30-day mortality (cancer 6.0% vs non-cancer 5.3%) and total mortality (cancer 8.1% vs non-cancer 6.1%) rate, but this was statistically insignificant after PS matching.ConclusionCancer did not significantly impact short-term in-hospital mortality rates after hospitalisation for primary AMI.


Author(s):  
Nathaniel Erskine ◽  
Jorge Yarzebski ◽  
Darleen M Lessard ◽  
Joel M Gore ◽  
Robert J Goldberg

Objective: Patients experiencing signs and symptoms of an acute myocardial infarction (AMI) require prompt evaluation and treatment. There are little contemporary data, however, available on how the extent of delay between the onset of acute coronary symptoms and hospital presentation may impact short-term mortality. The purpose of this population-based study was to examine the relationship between extent of pre-hospital delay with hospital case-fatality rates (HCFRs) and 30-day post-admission mortality rates (PAMRs) among patients hospitalized with validated AMI in all central Massachusetts medical centers, and trends over time therein. Methods: We examined the medical records of residents of the Worcester, MA, metropolitan area hospitalized with a confirmed AMI at all 11 central MA medical centers on a biennial basis between 1999 and 2009 (n = 6,017). Information on patient’s demographic, medical history, clinical characteristics, and time of acute symptom onset and hospital arrival was abstracted. Results: Hospital medical record data on pre-hospital delay were available for 2,913 (48%) subjects of whom their mean age was 68 years, 38% were female, and 90% were Caucasian. The mean and median pre-hospital delay times were 4.0 hours and 2.0 hours, respectively, with little change noted in these times between 1999 and 2009. Patients who reported pre-hospital delay times greater than two hours were more likely to be older, female, and have a history of heart failure or diabetes mellitus as compared with patients who delayed seeking medical care by less than 2 hours. The overall HCFR was 6.6% and 30-day PAMR was 9.4%. The average HCFRs and 30-day PAMRs varied slightly between those with delay times of less than 2 hours (6.5%, 9.2%), 2 to 4 hours (6.3%, 8.6%), and greater than 4 hours (7.0%, 10.6%). No statistically significant changes in HCFRs and 30-day PAMRs were observed as pre-hospital delay times increased. Analyses of our principal study outcomes according to type of AMI (e.g., STEMI and NSTEMI) are ongoing and will be presented subsequently. Conclusions: This population-based study of residents of central MA hospitalized with AMI in all metropolitan Worcester medical centers showed little change in average and median pre-hospital delays between 1999 and 2009. Both the HCFRs and 30-day PAMRs were not significantly increased with greater durations of pre-hospital delay possibly due to potential confounders such as symptom severity. Our preliminary results suggest the need to further investigate trends in pre-hospital delay and short-term mortality, including patients who die in the community before receiving acute medical care.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Amartya Kundu ◽  
Amir Shaikh ◽  
Darleen Lessard ◽  
Jane Saczynski ◽  
Jorge Yarzebski ◽  
...  

Introduction: Atrial Fibrillation (AF) is a common complication during hospitalization for acute myocardial infarction (AMI) and is associated with increased morbidity and mortality in patients with AMI.However, there is limited information on contemporary trends in the incidence of AF in patients admitted with AMI and its impact on clinically relevant in-hospital and post-discharge outcomes. Methods: We examined trends in AF complicating AMI using data from the Worcester Heart Attack Study. The study population consisted of 6384 residents of Worcester, Massachusetts hospitalized with AMI for 7 biennial years from 1999 to 2011. Data was abstracted through the review of hospital medical records. Multivariate logistic regression analysis was used to examine the association between occurrence of AF and various in-hospital complications. Results: Overall incidence of AF complicating AMI was 10.8 %. The rate increased in the first half of the study period from 1999 to 2003 and declined thereafter .In models adjusting for other factors associated with adverse outcomes following AMI, we noted that compared to patients who did not develop AF, those who developed AF following AMI were at a higher risk of developing stroke [OR 2.53, 95 % CI 1.56 to 4.13], heart failure [OR 1.56, 95 % CI 1.31 to 1.87], and cardiogenic shock [OR 3.72, 95 % CI 2.82 to 4.90]. All-cause mortality during hospitalization was higher in those who developed AF[ OR 2.34, 95 % CI 1.87 to 2.94 ]; as was 30 day post discharge mortality [OR 1.29, 95 % CI 0.90 to 1.86] and 30 day post discharge readmission rate [OR 1.37, 95 % CI 1.09 to 1.72]. Conclusion: Our findings show that despite advancements in the treatment of AMI and reduced in-hospital mortality over the last 2 decades, new-onset AF remains common and related to multiple in-hospital and post-discharge adverse outcomes. Increased in-hospital monitoring and short-term post-discharge surveillance appears warranted for patients who develop AF in the context of AMI.


2021 ◽  
Author(s):  
Jiyoung Shin ◽  
Jongmin Oh ◽  
In Sook Kang ◽  
Eunhee Ha ◽  
Wook Bum Pyun

Abstract Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID).Methods: Daily data of 197,940 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. Monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI.Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only.Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.


2011 ◽  
Vol 70 (6) ◽  
pp. 1020-1024 ◽  
Author(s):  
Mary A De Vera ◽  
Hyon Choi ◽  
Michal Abrahamowicz ◽  
Jacek Kopec ◽  
Maria Victoria Goycochea-Robles ◽  
...  

ObjectivesScreening for cardiovascular risk factors and treating hyperlipidaemia with statins are recommended to reduce the increased cardiovascular risk in individuals with rheumatoid arthritis (RA). However, poor compliance with statins may limit their therapeutic benefit. Our objective was to evaluate the impact of statin discontinuation on risk of acute myocardial infarction (AMI) among RA patients.MethodsThe authors conducted a population-based cohort study of RA patients with incident statin use followed from May 1996 to March 2006 using administrative health data. Primary exposure was statin discontinuation for ≥3 months at any time during therapy course. The authors used Cox's proportional hazards models and modelled statin discontinuation as a time-dependent variable, while adjusting for age, sex, comorbidities, use of other medications influencing cardiac risk, and proxy indicators of RA severity.ResultsDuring 15 669 person-years of follow-up in 4102 incident-statin users with RA, the authors identified 264 AMI events. Statin discontinuation was associated with 67% increased risk of AMI (adjusted HR 1.67; 95% CI 1.24 to 2.25). There was a 2% increase in risk of AMI with each 1-month increase in the duration of discontinuation (adjusted HR 1.02; 95% CI 1.01 to 1.03). These associations were not modified by timing of first statin prescription, prior AMI status, sex and age (p values for interactions >0.17).ConclusionsThese population-based data indicate that RA patients who discontinue statins have increased risk of AMI. Findings emphasise the need to raise awareness, among health professionals and people with RA, of the importance of compliance with statin therapy in RA.


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