scholarly journals History of hypertension and causes of death after acute myocardial infarction.

1999 ◽  
Vol 12 (4) ◽  
pp. 141
Author(s):  
G BERTON
Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001442
Author(s):  
John A Dodson ◽  
Alexandra M Hajduk ◽  
Terrence E Murphy ◽  
Mary Geda ◽  
Harlan M Krumholz ◽  
...  

ObjectiveTo develop a 180-day readmission risk model for older adults with acute myocardial infarction (AMI) that considered a broad range of clinical, demographic and age-related functional domains.MethodsWe used data from ComprehenSIVe Evaluation of Risk in Older Adults with AMI (SILVER-AMI), a prospective cohort study that enrolled participants aged ≥75 years with AMI from 94 US hospitals. Participants underwent an in-hospital assessment of functional impairments, including cognition, vision, hearing and mobility. Clinical variables previously shown to be associated with readmission risk were also evaluated. The outcome was 180-day readmission. From an initial list of 72 variables, we used backward selection and Bayesian model averaging to derive a risk model (N=2004) that was subsequently internally validated (N=1002).ResultsOf the 3006 SILVER-AMI participants discharged alive, mean age was 81.5 years, 44.4% were women and 10.5% were non-white. Within 180 days, 1222 participants (40.7%) were readmitted. The final risk model included 10 variables: history of chronic obstructive pulmonary disease, history of heart failure, initial heart rate, first diastolic blood pressure, ischaemic ECG changes, initial haemoglobin, ejection fraction, length of stay, self-reported health status and functional mobility. Model discrimination was moderate (0.68 derivation cohort, 0.65 validation cohort), with good calibration. The predicted readmission rate (derivation cohort) was 23.0% in the lowest quintile and 65.4% in the highest quintile.ConclusionsOver 40% of participants in our sample experienced hospital readmission within 180 days of AMI. Our final readmission risk model included a broad range of characteristics, including functional mobility and self-reported health status, neither of which have been previously considered in 180-day risk models.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Watanabe ◽  
H Yoshino ◽  
T Takahashi ◽  
M Usui ◽  
K Akutsu ◽  
...  

Abstract   Both acute aortic dissection (AAD) and acute myocardial infarction (AMI) present with chest pain and are life-threatening diseases that require early diagnosis and treatment for better clinical outcome. However, two critical diseases in the very acute phase are sometimes difficult to differentiate, especially prior to arrival at the hospital for urgent diagnosis and selection of specific treatment. The aim of our study was to clarify the diagnostic markers acquired from the information gathered from medical history taking and physical examination for discriminating AAD from AMI by using data from the Tokyo Cardiovascular Care Unit (CCU) Network database. We examined the clinical features and laboratory data of patients with AAD and AMI who were admitted to the hospital in Tokyo between January 2013 and December 2015 by using the Tokyo CCU Network database. The Tokyo CCU Network consists of >60 hospitals that fulfil certain clinical criteria and receive patients from ambulance units coordinated by the Tokyo Fire Department. Of 15,061 patients diagnosed as having AAD and AMI, 3,195 with chest pain within 2 hours after symptom onset (537 AAD and 2,658 AMI) were examined. The patients with out-of-hospital cardiac arrest were excluded. We compared the clinical data of the patients with chest pain who were diagnosed as having AAD and AMI. The following indicators were more frequent or had higher values among those with AAD: female sex (38% vs. 20%, P<0.001), systolic blood pressures (SBPs) at the time of first contact by the emergency crew (142 mmHg vs. 127 mmHg), back pain in addition to chest pain (54% vs. 5%, P<0.001), history of hypertension (73% vs. 58%, P<0.001), SBP ≥150 mmHg (39% vs. 22%, P<0.001), back pain combined with SBP ≥150 mmHg (23% vs. 0.8%, P<0.001), and back pain with SBP <90 mmHg (4.5% vs. 0.1%, P<0.001). The following data were less frequently observed among those with AAD: diabetes mellitus (7% vs. 28%, P<0.001), dyslipidaemia (17% vs. 42%, P<0.001), and history of smoking (48% vs. 61%, P<0.001). The multivariate regression analysis suggested that back pain with SBP ≥150 mmHg (odds ratio [OR] 47; 95% confidence interval [CI] 28–77; P<0.001), back pain with SBP <90 mmHg (OR 68, 95% CI 16–297, P<0.001), and history of smoking (OR 0.49, 95% CI 0.38–0.63, P<0.001) were the independent markers of AAD. The sensitivity and specificity of back pain with SBPs of ≥150 mmHg and back pain with SBPs <90 mmHg for detecting AAD were 23% and 99%, and 4% and 99%, respectively. In patients with chest pain suspicious of AAD and AMI, “back pain accompanied by chest pain with SBP ≥150 mmHg” or “back pain accompanied by chest pain with SBP <90 mmH” is a reliable diagnostic marker of AAD with high specificity, although the sensitivity was low. The two SBP values with back pain are markers that may be useful for the ambulance crew at their first contact with patients with chest pain. Funding Acknowledgement Type of funding source: None


1997 ◽  
Vol 12 (3) ◽  
pp. 149-151 ◽  
Author(s):  
D Sarantidis ◽  
A Thomas ◽  
K Iphantis ◽  
N Katsaros ◽  
J Tripodianakis ◽  
...  

SummaryIn this study we investigated 1) the changes in anxiety, depression and denial from admission to discharge in patients admitted to the intensive care unit following an acute myocardial infarction and 2) the effect of smoking habits, time lapsed from the appearance of symptoms to seeking help behavior, presence of a person that motivated the patient to seek help, previous myocardial infarction (MI) and family history of MI, on these changes. The results indicated that 1) the levels of both anxiety and depression increased from admission to discharge, while denial decreased; 2) positive family history of MI was associated with lower difference of denial between admission and discharge.


2012 ◽  
Vol 130 ◽  
pp. S104
Author(s):  
Grazia Loredana Mendolicchio ◽  
Monica Bacci ◽  
Dennis Zavalloni ◽  
Lidia Rota ◽  
Zaverio Marcello Ruggeri

1987 ◽  
Vol 60 (4) ◽  
pp. 219-224 ◽  
Author(s):  
Thomas H. Lee ◽  
Gregory W. Rouan ◽  
Monica C. Weisberg ◽  
Donald A. Brand ◽  
Denise Acampora ◽  
...  

2021 ◽  
Vol 34 (1) ◽  
pp. 26-32
Author(s):  
Md Amzad Hossain Sardar ◽  
Md Khalilur Rahman ◽  
Md Mahidul Alam ◽  
Md Aminul Hasan ◽  
Ashoke Sarker ◽  
...  

Background: Among non-communicable diseases, acute myocardial infarction (AMI) is a common killer of people in the world. The management of AMI patients is one of the major challenges in the field of cardiology. Uric acid has several effects of potential interest in cardiovascular disease. There are some markers indicating an unfavorable prognosis in AMI patients. Uric acid is one of the markers that have been evaluated in research. Objective: The aim of this study was to assess the association between serum uric acid level and in-hospital outcomes of AMI patients. Patients and methods: This longitudinal descriptive study was conducted over 115 AMI patients in the Cardiology Unit of Rajshahi Medical College Hospital during the period of January 2015 to December 2016. Baseline characteristics such as age, sex, BMI, BP, RBS, risk factors (hypertension, DM, smoking, family history of IHD, dyslipidemia), and outcomes of AMI patients (acute LVF, arrhythmia, conduction block, cardiogenic shock, death) were recorded. We measured the serum uric acid of this patient at admission.  Results: The mean age of patients was 52.83±10.71 years. Out of 115 patients, 83.5% were male, and 16.5% were female. Among the risk factors, 65.2% of patients had HTN, 20.9% DM, 64.3% smoking, 16.5% family history of IHD, and 47.8% dyslipidemia. Out of 115, 35.7% of patients demonstrated high serum uric acid. In outcomes of AMI patients, acute LVF 24.4% (p=0.031) and death 12.2% (p=0.041) were significantly higher in patients with high serum uric acid levels. Conclusion: Significant association was found between high serum uric acid level and in-hospital outcomes of AMI patients. So, estimation of serum uric acid may offer an inexpensive, quick, and non-invasive method for identifying such high-risk patients. TAJ 2021; 34: No-1: 26-32


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