scholarly journals 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001442
Author(s):  
John A Dodson ◽  
Alexandra M Hajduk ◽  
Terrence E Murphy ◽  
Mary Geda ◽  
Harlan M Krumholz ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Older Adults ◽  
Acute Myocardial Infarction ◽  
Risk Model ◽  
Functional Mobility ◽  
Derivation Cohort ◽  
History Of ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Readmission Risk

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.

scholarly journals Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction

2019 ◽  
Vol 12 (5) ◽  
Author(s):  
John A. Dodson ◽  
Alexandra M. Hajduk ◽  
Terrence E. Murphy ◽  
Mary Geda ◽  
Harlan M. Krumholz ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Older Adults ◽  
Acute Myocardial Infarction ◽  
Risk Model ◽  
Readmission Risk

scholarly journals Diagnostic markers for discriminating between acute aortic dissection and acute myocardial infarction during the pre-hospital phase: analysis of 3,195 cases

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Watanabe ◽  
H Yoshino ◽  
T Takahashi ◽  
M Usui ◽  
K Akutsu ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Back Pain ◽  
Chest Pain ◽  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Diagnostic Markers ◽  
Network Database ◽  
History Of ◽  
First Contact

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

scholarly journals Long-Term Prognostic Value of Cognitive Impairment on Top of Frailty in Older Adults after Acute Coronary Syndrome

2021 ◽  
Vol 10 (3) ◽  
pp. 444
Author(s):  
Juan Sanchis ◽  
Clara Bonanad ◽  
Sergio García-Blas ◽  
Vicent Ruiz ◽  
Agustín Fernández-Cisnal ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Older Adults ◽  
Acute Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Prognostic Value ◽  
Adult Survivors ◽  
Prognostic Information ◽  
Coronary Syndrome

Frailty is a marker of poor prognosis in older adults after acute coronary syndrome. We investigated whether cognitive impairment provides additional prognostic information. The study population consisted of a prospective cohort of 342 older (>65 years) adult survivors after acute coronary syndrome. Frailty (Fried score) and cognitive function (Pfeiffer’s Short Portable Mental Status Questionnaire—SPMSQ) were assessed at discharge. The endpoints were mortality or acute myocardial infarction at 8.7-year median follow-up. Patient distribution according to SPMSQ results was: no cognitive impairment (SPMSQ = 0 errors; n = 248, 73%), mild impairment (SPMSQ = 1–2 errors; n = 52, 15%), and moderate to severe impairment (SPMSQ ≥3 errors; n = 42, 12%). A total of 245 (72%) patients died or had an acute myocardial infarction, and 216 (63%) patients died. After adjustment for clinical data, comorbidities, and Fried score, the SPMSQ added prognostic value for death or myocardial infarction (per number of errors; HR = 1.11, 95%, CI 1.04–1.19, p = 0.002) and death (HR = 1.11, 95% 1.03–1.20, p = 0.007). An SPMSQ with ≥3 errors identified the highest risk subgroup. Geriatric conditions (SPSMQ and Fried score) explained 19% and 43% of the overall chi-square of the models for predicting death or myocardial infarction and death, respectively. Geriatric assessment after acute coronary syndrome should include both frailty and cognitive function. This is particularly important given that cognitive impairment without dementia can be subclinical and thus remain undetected.

Levels of anxiety, depression and denial in patients with myocardial infarction

1997 ◽  
Vol 12 (3) ◽  
pp. 149-151 ◽  
Author(s):  
D Sarantidis ◽  
A Thomas ◽  
K Iphantis ◽  
N Katsaros ◽  
J Tripodianakis ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Intensive Care Unit ◽  
Family History ◽  
Positive Family History ◽  
Anxiety And Depression ◽  
Previous Myocardial Infarction ◽  
History Of ◽  
Seeking Help ◽  
Anxiety Depression

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.

C0347 Thrombin binding to platelets of young patients with a history of acute myocardial infarction

2012 ◽  
Vol 130 ◽  
pp. S104
Author(s):  
Grazia Loredana Mendolicchio ◽  
Monica Bacci ◽  
Dennis Zavalloni ◽  
Lidia Rota ◽  
Zaverio Marcello Ruggeri
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Young Patients ◽  
History Of
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