Nursing Department, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Shangcheng District, Hangzhou, 310009, Zhejiang, China.
Emergency Department, Dongyang People's Hospital, Dongyang, Zhejiang Province, China.
Intern Emerg Med. 2023 Sep;18(6):1831-1842. doi: 10.1007/s11739-023-03291-y. Epub 2023 May 3.
This study explored the relationship between body temperature and adverse outcomes in patients with heat stroke to identify the optimal target body temperature within the first 24 h. This retrospective, multicentre study enrolled 143 patients admitted to the emergency department and diagnosed with heat stroke. The primary outcome was the in-hospital mortality rate, while secondary outcomes included the presence and number of damaged organs and neurological sequelae at discharge. A body temperature curve was built using a generalized additive mixed model, and the association between body temperatures and outcomes was established by logistic regression. The threshold and saturation effects were used to explore the targeted body temperature management. Cases were divided into the surviving and non-surviving groups. The cooling rate within the first 2 h was significantly higher in the survival group than the non-survival group (β: 0.47; 95% confidence interval [CI]: 0.09-0.84; P = 0.014), while the non-survival group exhibited a lower body temperature within 24 h (β: - 0.06; 95% CI: - 0.08 to - 0.03; P ≤ 0.001). Body temperature after 2 h (odds ratio [OR]: 2.27; 95% CI: 1.14-4.50; P = 0.019) and lowest temperature within 24 h (OR: 0.18; 95% CI: 0.06-0.55; P = 0.003) were significantly related to in-hospital mortality rate. When the body temperature at 0.5 h was 38.5-40.0 °C, the number of damaged organs was at its lowest. In patients with heat stroke, both hyperthermia and hypothermia were associated with adverse outcomes. Hence, an accurate body temperature management is required during the early stages of care.
本研究旨在探讨中暑患者体温与不良结局的关系,以确定 24 小时内的最佳目标体温。这项回顾性多中心研究纳入了 143 名因中暑被收入急诊科的患者。主要结局为院内死亡率,次要结局包括出院时存在的器官损伤数量和神经系统后遗症。采用广义加性混合模型绘制体温曲线,并通过逻辑回归确定体温与结局之间的关联。采用阈值和饱和效应探讨目标体温管理。将病例分为存活组和非存活组。存活组在前 2 小时的降温速度明显高于非存活组(β:0.47;95%置信区间 [CI]:0.09-0.84;P=0.014),而非存活组在 24 小时内的体温较低(β:-0.06;95% CI:-0.08 至-0.03;P≤0.001)。2 小时后体温(比值比 [OR]:2.27;95% CI:1.14-4.50;P=0.019)和 24 小时内最低体温(OR:0.18;95% CI:0.06-0.55;P=0.003)与院内死亡率显著相关。当 0.5 小时时体温为 38.5-40.0°C 时,器官损伤数量最低。在中暑患者中,高热和低温均与不良结局相关。因此,在早期治疗中需要进行准确的体温管理。