Comparison of Clinical Characteristics of Acute Myocardial Infarction Between Young (< 55 Years) and Older (55 to < 70 Years) Patients

Abstract

Although the incidence of acute myocardial infarction (AMI) has been decreasing in the elderly, it has been increasing in the young, especially in Japan. A social impact of AMI would be greater in the young, because loss of the young directly influences social activities such as business, child-raising, and tax payment. The aim of this study was to identify the specific characteristics of young AMI patients. We retrospectively included 408 consecutive AMI patients < 70 years of age, divided into a young group (< 55 years: n = 136) and an older group (55 to < 70 years: n = 272). The prevalence of overweight was greater in the young group (58.5%) than in the older group (40.7%) (P = 0.001). The frequency of current smokers was higher in the young group (67.6%) than in the older group (44.9%) (P < 0.001). Although the prevalence of hypertension was lower in the young group (66.7%) than in the older group (77.2%) (P = 0.017), that of untreated hypertension was greater in the young group (40.4%) than in the older group (27.2%) (P = 0.007). Furthermore, the prevalence of untreated dyslipidemia was greater in the young group (45.0%) than in the older group (26.6%) (P < 0.001). In conclusion, the young AMI patients had more modifiable risk factors such as obesity, smoking, untreated hypertension, and untreated dyslipidemia than the older patients. There is an unmet medical need for the prevention of AMI in the young generation.

Association of Asymptomatic Low Ankle–Brachial Index with Long-Term Clinical Outcomes in Patients after Acute Myocardial Infarction

“…Diabetes mellitus was defined as hemoglobin A1c ≥ 6.5% or treatment for diabetes mellitus 19) . Dyslipidemia was defined as total cholesterol ≥ 220 mg/dL, low-density lipoprotein (LDL) cholesterol ≥ 140 mg/dL, or treatment for dyslipidemia 20) . We used the laboratory data at admission.…”

“…We used the laboratory data at admission. Since we could not measure some laboratory data such as HbA1c or LDL cholesterol levels at off-hours (night or holidays), we substituted the earliest HbA1c or LDL cholesterol levels since admission for the laboratory data at admission 20) . Left ventricular ejection fraction (LVEF) was measured by transthoracic echocardiography during the index hospitalization.…”

The Framing of time-dependent machine learning risk prediction models among young individuals with acute coronary syndromes

“…Young individuals with ACS are more likely to be men, smokers, obese, sedentary or to present familialcombined hyperlipidemia, and they more frequently consume cocaine or androgenic anabolic steroids than older ACS patients 6,7 . Furthermore, compared with older individuals, those with yACS have a higher proportion of traditional cardiovascular risk factors out of control 7 .…”

“…Young individuals with ACS are more likely to be men, smokers, obese, sedentary or to present familialcombined hyperlipidemia, and they more frequently consume cocaine or androgenic anabolic steroids than older ACS patients 6,7 . Furthermore, compared with older individuals, those with yACS have a higher proportion of traditional cardiovascular risk factors out of control 7 . Despite this clear distinction in the recurrence of coronary events and the prevalence of risk factors, effective risk prediction tools speci c to individuals with yACS remain an unmet need.…”

JAUNO (< 55 METŲ) AMŽIAUS ASMENŲ MIOKARDO INFARKTO RIZIKOS VEIKSNIAI

“…Literatūros apžvalgai iš viso atrinktos 25 publikacijos, kurios buvo suskirstytos į 3 grupes -4 tyrimai nustatantys bendrą rizikos veiksnių paplitimą tarp pacientų, MI patyrusių jauname amžiuje [9][10][11][12], 10 tyrimų, lyginančių rizikos veiksnių paplitimą tarp jaunų bei vyresnio amžiaus pacientų [6,7,[14][15][16][17][18][19][20][21] ir 11 tyrimų, tiriančių netradicinius jauname amžiuje persirgto MI rizikos veiksnius [23][24][25][26][27][28][29][30][31][32][33]. Mokslinių tyrimų atrankos procesas pateiktas schemoje (1 pav.…”