Semmelweis University, Department of Vascular Surgery, 68. Városmajor street, Budapest, 1122, Hungary.
Semmelweis University, Department of Behavioural Sciences, Budapest, Hungary.
Sci Rep. 2019 Apr 23;9(1):6358. doi: 10.1038/s41598-019-42830-6.
Several studies have examined the cardiovascular effects of atmospheric parameters as separate factors; however, few have investigated atmospheric parameters' joint effects. We aim to explore the joint effects of atmospheric parameters on acute cardiovascular diseases (ACVDs) and on major cardiovascular risk factors (CRFs). We correlated all ACVD admissions with major CRFs and local atmospheric conditions during a 5-year study period. A seasonal variation was detected in a higher incidence rate during cold atmospheric conditions. There were significant incidence relative ratios, including: 1.140 (95% CI [1.020, 1.283]) for daily temperature change (≥5 °C); 0.991 (95% CI [0.988, 0.994]) for average daily temperature; and 1.290 (95% CI [1.090, 1.599]) for the interaction of daily temperature change (≥5 °C) with humidity change (≥40%). We observed a significant association between the atmospheric parameters' joint effects and hyperlipidaemia, diabetes, and previous ACVDs. Patients with diabetes had the highest significant incidence relative ratio at 2.429 (95% CI [1.088, 5.424]) for humidity-temperature interactions. Thus, the atmospheric parameters' joint effects play an important role as minor CRFs. These unfavourable atmospheric situations are predicted to increase the number of ACVDs mainly. Our study may help to organize prevention strategies more effectively and to reduce cardiovascular risks.
几项研究已经检查了大气参数作为单独因素对心血管的影响；然而，很少有研究调查大气参数的联合效应。我们旨在探讨大气参数对急性心血管疾病（ACVDs）和主要心血管危险因素（CRFs）的联合影响。在为期 5 年的研究期间，我们将所有 ACVD 入院与主要 CRFs 和当地大气条件相关联。在寒冷的大气条件下，发现发病率呈季节性变化，发病率相对比显著升高，包括：每日温度变化（≥5°C）为 1.140（95%置信区间 [1.020, 1.283]）；日平均温度为 0.991（95%置信区间 [0.988, 0.994]）；每日温度变化（≥5°C）与湿度变化（≥40%）的交互作用为 1.290（95%置信区间 [1.090, 1.599]）。我们观察到大气参数联合效应与高脂血症、糖尿病和先前的 ACVDs 之间存在显著关联。糖尿病患者的相对发病率最高，湿度-温度交互作用为 2.429（95%置信区间 [1.088, 5.424]）。因此，大气参数的联合效应作为次要 CRFs 起着重要作用。这些不利的大气情况预计将主要导致 ACVD 数量增加。我们的研究可能有助于更有效地组织预防策略，并降低心血管风险。
