• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 Fever Coach 移动应用程序评估儿童疫苗接种后发热反应率:一项回顾性观察研究。

Postvaccination Fever Response Rates in Children Derived Using the Fever Coach Mobile App: A Retrospective Observational Study.

机构信息

Korea Human Resource Development Institute for Health and Welfare, Cheongju, Republic of Korea.

Yonsei University College of Medicine, Seoul, Republic of Korea.

出版信息

JMIR Mhealth Uhealth. 2019 Apr 22;7(4):e12223. doi: 10.2196/12223.

DOI:10.2196/12223
PMID:31008712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6658305/
Abstract

BACKGROUND

Postvaccination fever is a mild adverse event that naturally improves without complications, but is highly prevalent and can be accompanied by febrile convulsions in some cases. These adverse effects may cause parents to delay or avoid vaccinating their children.

OBJECTIVE

This study aimed to identify postvaccination fever patterns and the ability of antipyretics to affect changes in these patterns from data collected from a mobile app named Fever Coach.

METHODS

Data provided by parents of feverish children derived from a mobile app, Fever Coach, were used to identify postvaccination fever patterns according to vaccinations and the use of antipyretic drugs. We selected single vaccination records that contained five or more body temperature readings performed within 48 hours of vaccination, and we analyzed postvaccination fever onset, offset, duration, and maximum body temperature. Through observing the postvaccination fever response to vaccination, we identified the effects of antipyretic drugs on postvaccination fever onset, offset, and duration times; the extent of fever; and the rate of decline. We also performed logistic regression analysis to determine demographic variables (age, weight, and sex) involved in relatively high fevers (body temperature ≥39°C).

RESULTS

The total number of Fever Coach users was 25,037, with 3834 users having entered single vaccination records, including 4448 vaccinations and 55,783 body temperature records. Most records were obtained from children receiving the following vaccinations: pneumococcus (n=2069); Japanese encephalitis (n=911); influenza (n=669); diphtheria, tetanus, and pertussis (n=403); and hepatitis A (n=252). According to the 4448 vaccination records, 3427 (77.05%) children had taken antipyretic drugs, and 3238 (89.15%) children took antibiotics at body temperatures above 38°C. The number of children taking antipyretics at a body temperature of 38°C was more than four times that of those taking antipyretics at 37.9°C (307 vs 67 cases). The number of instances in which this temperature threshold was reached was more than four times greater than the number when the temperature was 37.9°C. A comparative analysis of antipyretic and nonantipyretic cases showed there was no difference in onset time; however, offset and duration times were significantly shorter in nonantipyretic cases than in antipyretic cases (P<.001). In nonantipyretic cases, offset times and duration times were 9.9 and 10.1 hours shorter, respectively, than in antipyretic cases. Body temperatures also decreased faster in nonantipyretic cases. Influenza vaccine-associated fevers lasted relatively longer, whereas pneumococcus vaccine-associated fevers were relatively short-lived.

CONCLUSIONS

These findings suggest that postvaccination fever has its own fever pattern, which is dependent on vaccine type and the presence of antipyretic drugs, and that postvaccination temperature monitoring may ease fever phobia and reduce the unnecessary use of antipyretics in medical care.

摘要

背景

接种疫苗后发热是一种轻微的不良反应,通常无需治疗即可自行缓解,但它的发病率较高,且某些情况下可能伴有热性惊厥。这些不良反应可能导致家长延迟或避免为孩子接种疫苗。

目的

本研究旨在通过 Fever Coach 移动应用收集的数据,识别接种疫苗后发热模式,并评估退热剂对这些模式变化的影响。

方法

利用 Fever Coach 移动应用中发热儿童家长提供的数据,根据疫苗接种情况和退热药物使用情况,识别接种疫苗后发热模式。我们选择了记录有 5 次或 5 次以上体温测量值的单剂疫苗接种记录,这些测量值在接种后 48 小时内完成。我们分析了接种后发热的起始时间、结束时间、持续时间和最高体温。通过观察接种后发热对疫苗接种的反应,我们确定了退热药物对发热起始时间、结束时间和持续时间的影响,以及发热程度和下降速度。我们还进行了逻辑回归分析,以确定与高热(体温≥39°C)相关的人口统计学变量(年龄、体重和性别)。

结果

Fever Coach 应用程序的总用户数为 25037 人,其中 3834 人输入了单剂疫苗接种记录,包括 4448 次疫苗接种和 55783 次体温记录。大多数记录来自接种以下疫苗的儿童:肺炎球菌(n=2069);乙型脑炎(n=911);流感(n=669);白喉、破伤风和百日咳(n=403);和甲型肝炎(n=252)。根据 4448 次疫苗接种记录,3427 名(77.05%)儿童使用了退热药物,3238 名(89.15%)儿童在体温高于 38°C 时使用了抗生素。体温 38°C 时使用退热药物的儿童数量是体温 37.9°C 时的四倍多(307 比 67 例)。达到该体温阈值的次数是体温 37.9°C 时的四倍多。退热和未退热病例的比较分析显示,发热起始时间无差异,但未退热病例的发热结束时间和持续时间明显短于退热病例(P<.001)。在未退热病例中,发热结束时间和持续时间分别比退热病例短 9.9 和 10.1 小时。未退热病例的体温下降速度也更快。流感疫苗相关发热持续时间相对较长,而肺炎球菌疫苗相关发热持续时间相对较短。

结论

这些发现表明,接种疫苗后发热有其自身的发热模式,这种模式取决于疫苗类型和退热药物的使用,接种后体温监测可能有助于减轻家长对发热的恐惧,并减少医疗保健中不必要的退热药物使用。

相似文献

1
Postvaccination Fever Response Rates in Children Derived Using the Fever Coach Mobile App: A Retrospective Observational Study.基于 Fever Coach 移动应用程序评估儿童疫苗接种后发热反应率:一项回顾性观察研究。
JMIR Mhealth Uhealth. 2019 Apr 22;7(4):e12223. doi: 10.2196/12223.
2
Comparative Analysis of Single and Combined Antipyretics Using Patient-Generated Health Data: Retrospective Observational Study.使用患者生成的健康数据进行单一和联合解热剂的比较分析:回顾性观察研究。
JMIR Mhealth Uhealth. 2021 May 26;9(5):e21668. doi: 10.2196/21668.
3
Impact of Fever and Antipyretic Use on Influenza Vaccine Immune Reponses in Children.发热和退热剂使用对儿童流感疫苗免疫反应的影响。
Pediatr Infect Dis J. 2018 Oct;37(10):971-975. doi: 10.1097/INF.0000000000001949.
4
The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study.《Fever Coach 移动应用程序在儿童参与性流感监测中的应用:可用性研究》。
JMIR Mhealth Uhealth. 2019 Oct 17;7(10):e14276. doi: 10.2196/14276.
5
Prophylactic antipyretics for prevention of febrile seizures following vaccination.用于预防接种疫苗后热性惊厥的预防性退烧药。
Can Fam Physician. 2017 Feb;63(2):128-130.
6
Combined and alternating paracetamol and ibuprofen therapy for febrile children.对发热儿童采用对乙酰氨基酚和布洛芬联合及交替治疗。
Evid Based Child Health. 2014 Sep;9(3):675-729. doi: 10.1002/ebch.1978.
7
Beliefs, Practices and Health Care Seeking Behavior of Parents Regarding Fever in Children.家长对儿童发热的信念、实践和医疗寻求行为。
Medicina (Kaunas). 2019 Jul 22;55(7):398. doi: 10.3390/medicina55070398.
8
The antipyretic efficacy and safety of propacetamol compared with dexibuprofen in febrile children: a multicenter, randomized, double-blind, comparative, phase 3 clinical trial.对乙酰氨基酚与右布洛芬在发热儿童中的退热疗效及安全性比较:一项多中心、随机、双盲、对照、3期临床试验
BMC Pediatr. 2018 Jun 23;18(1):201. doi: 10.1186/s12887-018-1166-z.
9
A current analysis of caregivers' approaches to fever and antipyretic usage.护理人员应对发热及使用退烧药方法的当前分析。
J Infect Dev Ctries. 2014 Mar 13;8(3):365-71. doi: 10.3855/jidc.3904.
10
The effect of antipyretics on immune response and fever following receipt of inactivated influenza vaccine in young children.解热药对儿童接种灭活流感疫苗后免疫反应和发热的影响。
Vaccine. 2017 Dec 4;35(48 Pt B):6664-6671. doi: 10.1016/j.vaccine.2017.10.020. Epub 2017 Oct 19.

引用本文的文献

1
Frequency, Timing, Burden and Recurrence of Adverse Events Following Immunization After HPV Vaccine Based on a Cohort Event Monitoring Study in the Netherlands.基于荷兰一项队列事件监测研究的HPV疫苗接种后不良事件的发生频率、时间、负担及复发情况
Vaccines (Basel). 2025 Jul 30;13(8):812. doi: 10.3390/vaccines13080812.
2
Association between the side effect induced by COVID-19 vaccines and the immune regulatory gene polymorphism.COVID-19 疫苗引起的副作用与免疫调节基因多态性的关联。
Front Immunol. 2022 Oct 26;13:941497. doi: 10.3389/fimmu.2022.941497. eCollection 2022.
3
A predictive model to estimate fever after receipt of the second dose of Pfizer-BioNTech coronavirus disease 2019 vaccine: An observational cohort study.

本文引用的文献

1
Impact of a Wearable Device-Based Walking Programs in Rural Older Adults on Physical Activity and Health Outcomes: Cohort Study.基于可穿戴设备的步行计划对农村老年人身体活动和健康结局的影响:队列研究
JMIR Mhealth Uhealth. 2018 Nov 21;6(11):e11335. doi: 10.2196/11335.
2
Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data.通过移动个人健康记录管理患者生成的健康数据:使用数据的分析
JMIR Mhealth Uhealth. 2018 Apr 9;6(4):e89. doi: 10.2196/mhealth.9620.
3
Enchanted Life Space: Adding Value to Smart Health by Integrating Human Desires.
一种用于估计接种第二剂辉瑞-生物科技公司2019冠状病毒病疫苗后发热情况的预测模型:一项观察性队列研究。
Health Sci Rep. 2022 Jul 20;5(4):e742. doi: 10.1002/hsr2.742. eCollection 2022 Jul.
4
Management of acute fever in children: Consensus recommendations for community and primary healthcare providers in sub-Saharan Africa.儿童急性发热的管理:撒哈拉以南非洲社区和初级医疗保健提供者的共识性建议
Afr J Emerg Med. 2021 Jun;11(2):283-296. doi: 10.1016/j.afjem.2020.11.004. Epub 2021 Apr 10.
魅力生活空间:通过融合人类需求为智能健康增添价值。
Healthc Inform Res. 2018 Jan;24(1):3-11. doi: 10.4258/hir.2018.24.1.3. Epub 2018 Jan 31.
4
High-Definition Medicine.高清医学
Cell. 2017 Aug 24;170(5):828-843. doi: 10.1016/j.cell.2017.08.007.
5
Information technology to support patient engagement: where do we stand and where can we go?支持患者参与的信息技术:我们目前的状况及未来走向?
J Am Med Inform Assoc. 2017 Nov 1;24(6):1088-1094. doi: 10.1093/jamia/ocx043.
6
Psychological factors associated with uptake of the childhood influenza vaccine and perception of post-vaccination side-effects: A cross-sectional survey in England.与儿童流感疫苗接种及接种后副作用认知相关的心理因素:英国的一项横断面调查
Vaccine. 2017 Apr 4;35(15):1936-1945. doi: 10.1016/j.vaccine.2017.02.031. Epub 2017 Mar 8.
7
Prophylactic antipyretics for prevention of febrile seizures following vaccination.用于预防接种疫苗后热性惊厥的预防性退烧药。
Can Fam Physician. 2017 Feb;63(2):128-130.
8
Parental Approach to the Prevention and Management of Fever and Pain Following Childhood Immunizations: A Survey Study.父母对儿童免疫接种后发热和疼痛的预防与处理方法:一项调查研究
Clin Pediatr (Phila). 2017 May;56(5):435-442. doi: 10.1177/0009922816675116. Epub 2016 Oct 23.
9
Why Fever Phobia Is Still Common?为什么对发烧的恐惧仍然普遍存在?
Iran Red Crescent Med J. 2016 Jun 5;18(8):e23827. doi: 10.5812/ircmj.23827. eCollection 2016 Aug.
10
Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign.将患者生成的健康数据整合到临床护理环境或临床决策中:从健康设计项目中汲取的经验教训。
JMIR Hum Factors. 2016 Oct 19;3(2):e26. doi: 10.2196/humanfactors.5919.