Weather Impact on Acute Myocardial Infarction Hospital Admissions With a New Model for Prediction: A Nationwide Study

Preparation of oral nanoparticles of Perillae Fructus oil and prevention application of cold stress in mice

Perillae Fructus oil has an important function in relieving cold stress. However, its application in this aspect has still been restricted because of instability and low bioavailability. In this study, Perillae Fructus oil was extracted through Soxhlet extraction, analyzed through gas chromatography-mass spectrometry (GC-MS), and nanopackaged into a yeast shell for the preparation of nanoparticles for oral administration. The characteristics of the nanoparticles were investigated using a Malvern zeta-size nanoinstrument, scanning electron microscopy (SEM), and high-performance liquid chromatography (HPLC). Then, the roles of orally administered nanoparticles in relieving cold stress were evaluated by investigating blood physiological and biochemical indexes in mice. The results showed that the oil yield from Perillae Fructus and shell yield from yeast cells were ~48.37% and ~16.87%, respectively. Approximately 89.21% of the added oil was packaged into the yeast shell to form nanoparticles with an average diameter of 316.74 nm and a surface charge of +2.9 mV. The nanoparticles were stable in simulated gastric acid and could be effectively released in simulated intestinal fluid with an efficiency of ~91.34%. After oral administration of nanoparticles, the mouse blood indexes of white blood cells (WBCs), superoxide dismutase (SOD) activity, and malonaldehyde (MDA) content were recovered compared to those in model mice, with a more remarkable effect than oral administration of free Perillae Fructus oil. Overall, the stability and bioavailability were improved by packaging Perillae Fructus oil into a yeast shell. These nanoparticles are a new agent for the prevention of cold stress.

Influence of daily temperature on the occurrence of ST-elevation myocardial infarction

BACKGROUND

Epidemiological studies reported that acute myocardial infarction (AMI) occurs more often in winter season or days with low temperatures. However, most of these studies did not distinguish ST-elevation myocardial infarction (STEMI) from AMI. The purpose of this study was to investigate the relationship between temperature and the occurrence of STEMI.

METHODS

We reviewed all daily temperature in Saitama City between January 2015 and December 2021 (2557 days) and divided them into days in which our institution received STEMI (days with STEMI) and days in which our institution did not receive STEMI (days without STEMI).

RESULTS

The daily maximum temperature was significantly lower in days with STEMI than in days without STEMI [20.0 °C (68.0 °F) versus 21.2 °C (70.2 °F), p = 0.001]. The maximum temperature was significantly lower in days with STEMI than in days without STEMI in the elderly [19.9 °C (67.8 °F) versus 21.1 °C (70.0 °F), p = 0.003], whereas this trend was weaker in the non-elderly [20.2 °C (68.4 °F) versus 20.9 °C (69.6 °F), p = 0.171]. Furthermore, the maximum temperature was significantly lower in days with STEMI than in days without STEMI in male [20.0 °C (68.0 °F) versus 21.1 °C (70.0 °F), p = 0.002], whereas this trend was weaker in females [20.0 °C (68.0 °F) versus 20.9 °C (69.6 °F), p = 0.169].

CONCLUSIONS

The daily temperatures were significantly lower in days with STEMI than in days without STEMI, and this relationship was pronounced in elderly or male patients.

Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction

The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence rate ratios (IRR) of AMI across the clusters using a time-stratified case-crossover design. Three distinct clusters were formed with Cluster 1 having high wind speed, Cluster 2 high rainfall, and Cluster 3 high temperature and PSI. Compared to Cluster 1, Cluster 3 had a higher AMI incidence with IRR 1.04 (95% confidence interval 1.01–1.07), but no significant difference was found between Cluster 1 and Cluster 2. Subgroup analyses showed that increased AMI incidence was significant only among those with age ≥65, male, non-smokers, non-ST elevation AMI (NSTEMI), history of hyperlipidemia and no history of ischemic heart disease, diabetes or hypertension. In conclusion, we found that AMI incidence, especially NSTEMI, is likely to be higher on days with high temperature and PSI. These findings have public health implications for AMI prevention and emergency health services delivery during the seasonal Southeast Asian transboundary haze.