scholarly journals Atypical Symptom Cluster Predicts a Higher Mortality in Patients With First-Time Acute Myocardial Infarction

2012 ◽  
Vol 42 (1) ◽  
pp. 16 ◽  
Author(s):  
Seon Young Hwang ◽  
Young Geun Ahn ◽  
Myung Ho Jeong
2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110119
Author(s):  
Shuai Zheng ◽  
Jun Lyu ◽  
Didi Han ◽  
Fengshuo Xu ◽  
Chengzhuo Li ◽  
...  

Objective This study aimed to identify the prognostic factors of patients with first-time acute myocardial infarction (AMI) and to establish a nomogram for prognostic modeling. Methods We studied 985 patients with first-time AMI using data from the Multi-parameter Intelligent Monitoring for Intensive Care database and extracted their demographic data. Cox proportional hazards regression was used to examine outcome-related variables. We also tested a new predictive model that includes the Sequential Organ Failure Assessment (SOFA) score and compared it with the SOFA-only model. Results An older age, higher SOFA score, and higher Acute Physiology III score were risk factors for the prognosis of AMI. The risk of further cardiovascular events was 1.54-fold higher in women than in men. Patients in the cardiac surgery intensive care unit had a better prognosis than those in the coronary heart disease intensive care unit. Pressurized drug use was a protective factor and the risk of further cardiovascular events was 1.36-fold higher in nonusers. Conclusion The prognosis of AMI is affected by age, the SOFA score, the Acute Physiology III score, sex, admission location, type of care unit, and vasopressin use. Our new predictive model for AMI has better performance than the SOFA model alone.


2013 ◽  
Vol 166 (5) ◽  
pp. 846-854 ◽  
Author(s):  
Paolo Ortolani ◽  
Massimiliano Marino ◽  
Giovanni Melandri ◽  
Paolo Guastaroba ◽  
Alessandro Corzani ◽  
...  

The Lancet ◽  
1998 ◽  
Vol 351 (9114) ◽  
pp. 1467-1471 ◽  
Author(s):  
Christoph R Meier ◽  
Susan S Jick ◽  
Laura E Derby ◽  
Catherine Vasilakis ◽  
Hershel Jick ◽  
...  

2004 ◽  
Vol 97 (3) ◽  
pp. 425-431 ◽  
Author(s):  
Thomas Fischer ◽  
Søren Lundbye-Christensen ◽  
Søren Paaske Johnsen ◽  
Henrik Carl Schønheyder ◽  
Henrik Toft Sørensen

Author(s):  
Verena Summerer ◽  
Michael Arzt ◽  
Henrik Fox ◽  
Olaf Oldenburg ◽  
Florian Zeman ◽  
...  

Background In patients with acute myocardial infarction (MI), cardioprotective effects of obstructive sleep apnea are postulated on account of hypoxemic preconditioning. The aim of this single‐center substudy was to investigate a potential association between obstructive sleep apnea and the presence of coronary collaterals in patients with first‐time acute MI who have been enrolled in an ongoing, multicenter clinical trial. Methods and Results In TEAM‐ASV I (Treatment of Sleep Apnea Early After Myocardial Infarction With Adaptive Servo‐Ventilation Trial; NCT02093377) patients with first acute MI who received a coronary angiogram within 24 hours after onset of symptoms underwent polygraphy within the first 3 days. Coronary collaterals were classified visually by assigning a Cohen‐Rentrop Score (CRS) ranging between 0 (no collaterals) and 3. Of 94 analyzed patients, 14% had significant coronary collaterals with a CRS ≥2. Apnea‐Hypopnea Index (AHI) score was significantly higher in patients with CRS ≥2 compared with those with CRS <2 (31/hour [11–54] versus 13/hour [4–27]; P =0.032). A multivariable regression model revealed a significant association between obstructive AHI and CRS ≥2 that was independent of age, sex, body mass index, and culprit lesion left anterior descending artery (odds ratio [OR], 1.06; 95% CI, 1.01–1.12; P =0.023), but no significant association between coronary collaterals and central AHI (OR, 1.02; 95% CI, 0.97–1.08; P =0.443). Conclusions Patients with first‐time acute MI had more extensive coronary collateralization with an increased AHI or rather an increased obstructive AHI. This finding supports the hypothesis that obstructive sleep apnea exerts potential cardioprotective effects, in addition to its known deleterious effects, in patients with acute MI. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02093377.


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