Literature DB >> 23974719

Clinical accuracy of tympanic thermometer and noncontact infrared skin thermometer in pediatric practice: an alternative for axillary digital thermometer.

Hurşit Apa1, Salih Gözmen, Nuri Bayram, Asl Çatkoğlu, Fatma Devrim, Utku Karaarslan, İlker Günay, Nurettin Ünal, İlker Devrim.   

Abstract

INTRODUCTION: The aim of this study was to compare the body temperature measurements of infrared tympanic and forehead noncontact thermometers with the axillary digital thermometer.
METHODS: Randomly selected 50 pediatric patients who were hospitalized in Dr Behcet Uz Children's Training and Research Hospital, Pediatric Infectious Disease Unit, between March 2012 and September 2012 were included in the study. Body temperature measurements were performed using an axillary thermometer (Microlife MT 3001), a tympanic thermometer (Microlife Ear Thermometer IR 100), and a noncontact thermometer (ThermoFlash LX-26).
RESULTS: Fifty patients participated in this study. We performed 1639 temperature readings for every method. The average difference between the mean (SD) of both axillary and tympanic temperatures was -0.20°C (0.61°C) (95% confidence interval, -1.41°C to 1.00°C). The average difference between the mean (SD) of both axillary and forehead temperatures was -0.38 (0.55°C) (95% confidence interval, -1.47°C to 0.70°C). The Bland-Altman plot showed that most of the data points were tightly clustered around the zero line of the difference between the 2 temperature readings. With the use of the axillary method as the criterion standard, positive likelihood ratios were 17.9 and 16.5 and negative likelihood ratios were 0.2 and 0.4 for tympanic and forehead measurements, respectively. DISCUSSION: The results demonstrated that the infrared tympanic thermometer could be a good option in the measurement of fever in the pediatric population. The noncontact infrared thermometer is very useful for the screening of fever in the pediatric population, but it must be used with caution because it has a high value of bias.

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Year:  2013        PMID: 23974719     DOI: 10.1097/PEC.0b013e3182a2d419

Source DB:  PubMed          Journal:  Pediatr Emerg Care        ISSN: 0749-5161            Impact factor:   1.454


  9 in total

1.  Non-contact infrared thermometers compared with current approaches in primary care for children aged 5 years and under: a method comparison study.

Authors:  Ann Van den Bruel; Jan Verbakel; Kay Wang; Susannah Fleming; Gea Holtman; Margaret Glogowska; Elizabeth Morris; George Edwards; Fatene Abakar Ismail; Kathryn Curtis; James Goetz; Grace Barnes; Ralitsa Slivkova; Charlotte Nesbitt; Suhail Aslam; Ealish Swift; Harriet Williams; Gail Hayward
Journal:  Health Technol Assess       Date:  2020-10       Impact factor: 4.014

2.  Development of a skin temperature map for dermatomes in individuals with spinal cord injury: a cross-sectional study.

Authors:  Janaina R Tancredo; Rafael A Tambascia; Mariane Borges; Claudiane A Fukuchi; Alberto Cliquet Junior
Journal:  Spinal Cord       Date:  2020-05-05       Impact factor: 2.772

3.  Performance of a non-contact infrared thermometer in healthy newborns.

Authors:  Sara Sollai; Carlo Dani; Elettra Berti; Claudia Fancelli; Luisa Galli; Maurizio de Martino; Elena Chiappini
Journal:  BMJ Open       Date:  2016-03-16       Impact factor: 2.692

4.  Ingestible sensors correlate closely with peripheral temperature measurements in febrile patients.

Authors:  Fanyu Huang; Chloe Magnin; Philippe Brouqui
Journal:  J Infect       Date:  2019-11-14       Impact factor: 6.072

Review 5.  The diagnostic accuracy of digital, infrared and mercury-in-glass thermometers in measuring body temperature: a systematic review and network meta-analysis.

Authors:  Valentina Pecoraro; Davide Petri; Giorgio Costantino; Alessandro Squizzato; Lorenzo Moja; Gianni Virgili; Ersilia Lucenteforte
Journal:  Intern Emerg Med       Date:  2020-11-25       Impact factor: 3.397

6.  Use of non-contact infrared thermometers in rehabilitation patients: a randomized controlled study.

Authors:  Zhen Chen; Hui Wang; Yi Wang; Hongmei Lin; Xiuping Zhu; Yaqin Wang
Journal:  J Int Med Res       Date:  2021-01       Impact factor: 1.671

7.  Anticholinergic premedication-induced fever in paediatric ambulatory ketamine anaesthesia.

Authors:  Kyung Woo Kim; Won Joo Choe; Jun Hyun Kim; Kyung-Tae Kim; Sang-Il Lee; Jang Su Park; Jung Won Kim; Min Hee Heo
Journal:  J Int Med Res       Date:  2016-05-25       Impact factor: 1.671

8.  Diagnostic test accuracy of new generation tympanic thermometry in children under different cutoffs: a systematic review and meta-analysis.

Authors:  Dan Shi; Li-Yuan Zhang; Hai-Xia Li
Journal:  BMC Pediatr       Date:  2020-05-12       Impact factor: 2.125

9.  Evaluation of a wearable wireless device with artificial intelligence, iThermonitor WT705, for continuous temperature monitoring for patients in surgical wards: a prospective comparative study.

Authors:  Ruihua Xu; Renrong Gong; Yuwei Liu; Changqing Liu; Min Gao; Yan Wang; Yangjing Bai
Journal:  BMJ Open       Date:  2020-11-18       Impact factor: 2.692

  9 in total

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