highly significantp<0.001
A highly significant linear correlation was observed between the daily maximum and daily minimum temperatures (y=0.98x+10.26, R 2 =0.957, p<0.001, online supplemental figure 2 ).
A highly significant linear correlation was observed between the daily maximum and daily minimum temperatures (y=0.98x+10.26, R 2 =0.957, p<0.001, online supplemental figure 2 ).
6 7 In the past decade, despite improvements in coronary risk factors, the incidence of AMI in China continues to exhibit an increasing trend. 2 On the other hand, factors such as anger, influenza and ambient temperature can trigger plaque rupture, thrombosis, myocardial ischaemia and even sudden death. 8 9 Furthermore, ambient temperature increased the emergency hospitalisation rate of AMI by influencing the key risks of coronary athero