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早晨的发热发生率明显低于傍晚:波士顿和美国国家分诊数据。

Fever Incidence Is Much Lower in the Morning than the Evening: Boston and US National Triage Data.

机构信息

Independent Statistical Analyst, Seattle, Washington.

Exergen Corporation, Watertown, Massachusetts.

出版信息

West J Emerg Med. 2020 Jun 24;21(4):909-917. doi: 10.5811/westjem.2020.3.45215.

DOI:10.5811/westjem.2020.3.45215
PMID:32726264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7390559/
Abstract

INTRODUCTION

In this observational study, we evaluated time-of-day variation in the incidence of fever that is seen at triage. The observed incidence of fever could change greatly over the day because body temperatures generally rise and fall in a daily cycle, yet fever is identified using a temperature threshold that is unchanging, such as ≥38.0° Celsius (C) (≥100.4° Fahrenheit [F]).

METHODS

We analyzed 93,225 triage temperature measurements from a Boston emergency department (ED) (2009-2012) and 264,617 triage temperature measurements from the National Hospital Ambulatory Medical Care Survey (NHAMCS, 2002-2010), making this the largest study of body temperature since the mid-1800s. Boston data were investigated exploratorily, while NHAMCS was used to corroborate Boston findings and check whether they generalized. NHAMCS results are nationally representative of United States EDs. Analyses focused on adults.

RESULTS

In the Boston ED, the proportion of patients with triage temperatures in the fever range (≥38.0°C, ≥100.4°F) increased 2.5-fold from morning to evening (7:00-8:59 PM vs 7:00-8:59 AM: risk ratio [RR] 2.5, 95% confidence interval [CI], 2.0-3.3). Similar time-of-day changes were observed when investigating alternative definitions of fever: temperatures ≥39.0°C (≥102.2°F) and ≥40.0°C (≥104.0°F) increased 2.4- and 3.6-fold from morning to evening (7:00-8:59 PM vs 7:00-8:59 AM: RRs [95% CIs] 2.4 [1.5-4.3] and 3.6 [1.5-17.7], respectively). Analyses of adult NHAMCS patients provided confirmation, showing mostly similar increases for the same fever definitions and times of day (RRs [95% CIs] 1.8 [1.6-2.1], 1.9 [1.4-2.5], and 2.8 [0.8-9.3], respectively), including after adjusting for 12 potential confounders using multivariable regression (adjusted RRs [95% CIs] 1.8 [1.5-2.1], 1.8 [1.3-2.4], and 2.7 [0.8-9.2], respectively), in age-group analyses (18-64 vs 65+ years), and in several sensitivity analyses. The patterns observed for fever mirror the circadian rhythm of body temperature, which reaches its highest and lowest points at similar times.

CONCLUSION

Fever incidence is lower at morning triages than at evening triages. High fevers are especially rare at morning triage and may warrant special consideration for this reason. Studies should examine whether fever-causing diseases are missed or underappreciated during mornings, especially for sepsis cases and during screenings for infectious disease outbreaks. The daily cycling of fever incidence may result from the circadian rhythm.

摘要

简介

在这项观察性研究中,我们评估了分诊时发热的时间变化。由于体温通常呈昼夜节律变化,因此观察到的发热发生率可能会有很大变化,但发热是通过使用不变的温度阈值(例如≥38.0°C(≥100.4°F))来识别的。

方法

我们分析了来自波士顿急诊部(ED)的 93225 次分诊体温测量值(2009-2012 年)和来自全国医院门诊医疗保健调查(NHAMCS,2002-2010 年)的 264617 次分诊体温测量值,这是自 19 世纪中叶以来对体温进行的最大研究。对波士顿数据进行了探索性分析,而 NHAMCS 则用于证实波士顿的发现并检查它们是否具有普遍性。NHAMCS 的结果代表了美国 ED 的全国情况。分析主要集中在成年人身上。

结果

在波士顿 ED,从早上到晚上(下午 7:00-8:59 与上午 7:00-8:59),发热(≥38.0°C,≥100.4°F)患者的比例增加了 2.5 倍(风险比[RR] 2.5,95%置信区间[CI],2.0-3.3)。当研究替代发热定义时,观察到类似的昼夜变化:体温≥39.0°C(≥102.2°F)和≥40.0°C(≥104.0°F)的比例分别从早上到晚上增加了 2.4-和 3.6 倍(下午 7:00-8:59 与上午 7:00-8:59:RR [95% CIs] 2.4 [1.5-4.3] 和 3.6 [1.5-17.7])。对成人 NHAMCS 患者的分析提供了证实,显示相同的发热定义和时间出现了相似的增加(RRs [95% CIs] 1.8 [1.6-2.1]、1.9 [1.4-2.5]和 2.8 [0.8-9.3]),包括在使用多变量回归调整 12 个潜在混杂因素后(调整后的 RRs [95% CIs] 1.8 [1.5-2.1]、1.8 [1.3-2.4]和 2.7 [0.8-9.2]),在年龄组分析(18-64 岁与 65 岁以上)和几项敏感性分析中。发热的发生模式反映了体温的昼夜节律,体温在相似的时间达到最高和最低点。

结论

早晨的分诊比晚上的分诊发热发生率低。上午的分诊中,高热特别罕见,因此可能需要特别注意。研究应检查在早晨是否会错过或低估发热性疾病,尤其是在脓毒症病例和传染病爆发筛查期间。发热发生率的每日循环可能是由于昼夜节律引起的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/364f55506248/wjem-21-909-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/ebb696399323/wjem-21-909-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/b19e4297bef7/wjem-21-909-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/364f55506248/wjem-21-909-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/ebb696399323/wjem-21-909-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/b19e4297bef7/wjem-21-909-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec2a/7390559/364f55506248/wjem-21-909-g003.jpg

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本文引用的文献

1
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2
Individual differences in normal body temperature: longitudinal big data analysis of patient records.正常体温的个体差异:患者记录的纵向大数据分析
BMJ. 2017 Dec 13;359:j5468. doi: 10.1136/bmj.j5468.
3
Evaluation of fever in the emergency department.急诊科发热评估
2004年至2017年中国流感发病率的时空差异及其与空气污染的关系
Chin Geogr Sci. 2021;31(5):815-828. doi: 10.1007/s11769-021-1228-2. Epub 2021 Sep 22.
4
Feasibility and effectiveness of daily temperature screening to detect COVID-19 in a prospective cohort at a large public university.在一所大型公立大学的前瞻性队列中,每日体温筛查检测 COVID-19 的可行性和有效性。
BMC Public Health. 2021 Sep 16;21(1):1693. doi: 10.1186/s12889-021-11697-6.
Am J Emerg Med. 2017 Nov;35(11):1755-1758. doi: 10.1016/j.ajem.2017.08.030. Epub 2017 Aug 14.
4
The Absence of Fever Is Associated With Higher Mortality and Decreased Antibiotic and IV Fluid Administration in Emergency Department Patients With Suspected Septic Shock.在疑似感染性休克的急诊科患者中,无发热与较高的死亡率以及抗生素和静脉输液使用的减少有关。
Crit Care Med. 2017 Jun;45(6):e575-e582. doi: 10.1097/CCM.0000000000002311.
5
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Crit Care Med. 2017 Apr;45(4):591-599. doi: 10.1097/CCM.0000000000002249.
6
Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreak.急诊科综合征监测中的人体体温:来自2009年甲型H1N1流感大流行秋季波和季节性流感暴发的数据。
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10
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