| Title |
Silent Myocardial Infarction and Long-Term Risk of Heart Failure The ARIC Study
|
|---|---|
| Published in |
JACC, January 2018
|
| DOI | 10.1016/j.jacc.2017.10.071 |
| Pubmed ID | |
| Authors |
Waqas T. Qureshi, Zhu-Ming Zhang, Patricia P. Chang, Wayne D. Rosamond, Dalane W. Kitzman, Lynne E. Wagenknecht, Elsayed Z. Soliman |
| Abstract |
Although silent myocardial infarction (SMI) accounts for about one-half of the total number of myocardial infarctions (MIs), the risk of heart failure (HF) among patients with SMI is not well established. The purpose of this study was to examine the association of SMI and clinically manifested myocardial infarction (CMI) with HF, as compared with patients with no MI. This analysis included 9,243 participants from the ARIC (Atherosclerosis Risk In Communities) study who were free of cardiovascular disease at baseline (ARIC visit 1: 1987 to 1989). SMI was defined as electrocardiographic evidence of MI without CMI after the baseline until ARIC visit 4 (1996 to 1998). HF events were ascertained starting from ARIC visit 4 until 2010 in individuals free of HF before that visit. Between ARIC visits 1 and 4, 305 SMIs and 331 CMIs occurred. After ARIC visit 4 and during a median follow-up of 13.0 years, 976 HF events occurred. The incidence rate of HF was higher in both CMI and SMI participants than in those without MI (incidence rates per 1,000 person-years were 30.4, 16.2, and 7.8, respectively; p < 0.001). In a model adjusted for demographics and HF risk factors, both SMI (hazard ratio [HR]: 1.35; 95% confidence interval [CI]: 1.02 to 1.78) and CMI (HR: 2.85; 95% CI: 2.31 to 3.51) were associated with increased risk of HF compared with no MI. These associations were consistent in subgroups of participants stratified by several HF risk predictors. However, the risk of HF associated with SMI was stronger in those younger than the median age (53 years) (HR: 1.66; 95% CI: 1.00 to 2.75 vs. HR: 1.19; 95% CI: 0.85 to 1.66, respectively; overall interaction p by MI type <0.001). SMI is associated with an increased risk of HF. Future research is needed to examine the cost effectiveness of screening for SMI as part of HF risk assessment, and to identify preventive therapies to improve the risk of HF among patients with SMI. |
X Demographics
The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 21% |
| Spain | 10 | 14% |
| Venezuela, Bolivarian Republic of | 5 | 7% |
| Australia | 4 | 6% |
| United Kingdom | 4 | 6% |
| Mexico | 3 | 4% |
| Brazil | 1 | 1% |
| Nigeria | 1 | 1% |
| Panama | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 24 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 69% |
| Scientists | 9 | 13% |
| Practitioners (doctors, other healthcare professionals) | 9 | 13% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 8 | 11% |
| Student > Doctoral Student | 5 | 7% |
| Other | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 42% |
| Nursing and Health Professions | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 24 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2022.
All research outputs
#363,919
of 25,622,179 outputs
Outputs from JACC
#847
of 16,784 outputs
Outputs of similar age
#8,240
of 451,233 outputs
Outputs of similar age from JACC
#11
of 180 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. This one has done particularly well, scoring higher than 94% of its peers.
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We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.