scholarly journals 1678. Assessing Performance of Multiple Methods for Measurement of Body Temperature, Bangladesh

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S614-S614
Author(s):  
Daniel W Martin ◽  
Pritimoy Das ◽  
Michael Friedman ◽  
Mahmudur Rahman
Keyword(s):  
Body Temperature ◽  
Temperature Measurement ◽  
Measurement Method ◽  
Febrile Illness ◽  
Measurement Methods ◽  
Acute Febrile Illness ◽  
Microsoft Excel ◽  
Research Project ◽  
Outpatient Departments ◽  
Multiple Measurements

Abstract Background CDC and icddr,b are conducting an acute febrile illness (AFI) research project in four hospitals in Bangladesh. Enrolled subjects have measured fever of ≥100.4°F. To determine the most-sensitive temperature measurement method, we collected multiple measurements on patients with fever history between March and April 2019. Methods Patients were screened in outpatient departments of four hospitals in Bangladesh between March 7 and April 15, 2019. Screening used at least two of three methods: tympanic, oral, or axillary. Records were consolidated using Microsoft Excel and analyzed in R3.4.3. We examined the correlation between temperatures measured by different methods for each patient. For records with all three measures, we calculated the likelihood of meeting AFI inclusion criterion of ≥100.4°F (38°C) by measurement method. Results 3,060 subjects were enrolled. The highest correlation among measurements was between axillary and oral (r = 0.882, 95% CI 0.868–0.895). The lowest correlation was between tympanic and oral (r = 0.71, 95% CI 0.69–0.73). Axillary and oral had the highest correlation in both children and adults (peds: 0.88, 95% CI 0.86–0.90; adult: 0.89, 95% CI 0.86–0.90). By site, the highest correlation was axillary to oral among children in Hospital 1 (r = 0.98, 95% CI 0.92–1.00), while the lowest was axillary to tympanic for adults in Hospital 3 (r = 0.71, 95% CI 0.65–0.77). 882 subjects (334 pediatric, 548 adult) were assessed using all three measurement methods. 313 (159 pediatric, 154 adult) met AFI inclusion criterion by at least one method. From 49% to 63% of subjects at any site met the criterion by two or three methods (table). Results in hospitals 1, 2 and 4 were similar and grouped for analysis. In every site, subjects were detected by oral who would not have been detected using axillary or tympanic. Only in Hospital 3, subjects were detected by tympanic alone. No subjects in any site met the criterion by axillary measurement alone. Conclusion Accurate measurement of body temperature is essential for AFI surveillance, but literature on methodology is limited. We demonstrate that multiple modes of measurement increased detection of febrile patients. The most sensitive combination was oral and tympanic. Axillary measurement did not improve detection. Disclosures All authors: No reported disclosures.

scholarly journals Accuracy of non-invasive body temperature measurement methods in critically ill patients: a prospective, bicentric, observational study

2021 ◽  
Vol 23 (3) ◽  
pp. 346-353
Author(s):  
Salvatore L Cutuli ◽  
◽  
Eduardo A Osawa ◽  
Christopher T Eyeington ◽  
Helena Proimos ◽  
...  
Keyword(s):  
Body Temperature ◽  
Temperature Measurement ◽  
Critically Ill ◽  
Core Temperature ◽  
Critically Ill Patients ◽  
Measurement Methods ◽  
Icu Patients ◽  
Explanatory Variables ◽  
Non Invasive ◽  
Body Temperature Measurement

Objective: The accuracy of different non-invasive body temperature measurement methods in intensive care unit (ICU) patients is uncertain. We aimed to study the accuracy of three commonly used methods. Design: Prospective observational study. Setting: ICUs of two tertiary Australian hospitals. Participants: Critically ill patients admitted to the ICU. Interventions: Invasive (intravascular and intra-urinary bladder catheter) and non-invasive (axillary chemical dot, tympanic infrared, and temporal scanner) body temperature measurements were taken at study inclusion and every 4 hours for the following 72 hours. Main outcome measures: Accuracy of non-invasive body temperature measurement methods was assessed by the Bland–Altman approach, accounting for repeated measurements and significant explanatory variables that were identified by regression analysis. Clinical adequacy was set at limits of agreement (LoA) of 1C compared with core temperature. Results: We studied 50 consecutive critically ill patients who were mainly admitted to the ICU after cardiac surgery. From over 375 observations, invasive core temperature (mostly pulmonary artery catheter) ranged from 33.9C to 39C. On average, the LoA between invasive and non-invasive measurements methods were about 3C. The temporal scanner showed the worst performance in estimating core temperature (bias, 0.66C; LoA, 1.23C, +2.55C), followed by tympanic infrared (bias, 0.44C; LoA, 1.73C, +2.61C) and axillary chemical dot methods (bias, 0.32°C; LoA, 1.64C, +2.28C). No methods achieved clinical adequacy even accounting for significant explanatory variables. Conclusions: The axillary chemical dot, tympanic infrared and temporal scanner methods are inaccurate measures of core temperature in ICU patients. These non-invasive methods appeared unreliable for use in ICU patients.

scholarly journals Turbine Blade Three-Wavelength Radiation Temperature Measurement Method Based on Reflection Error Correction

2021 ◽  
Vol 11 (9) ◽  
pp. 3913
Author(s):  
Kaifeng Zheng ◽  
Jinguang Lü ◽  
Yingze Zhao ◽  
Jin Tao ◽  
Yuxin Qin ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
Turbine Blade ◽  
Measurement Method ◽  
Turbine Blades ◽  
Target Surface ◽  
Maximum Error ◽  
Radiation Temperature ◽  
Average Error ◽  
Real Surface ◽  
Wavelength Radiation

The turbine blade is a key component in an aeroengine. Currently, measuring the turbine blade radiation temperature always requires obtaining the emissivity of the target surface in advance. However, changes in the emissivity and the reflected ambient radiation cause large errors in measurement results. In this paper, a three-wavelength radiation temperature measurement method was developed, without known emissivity, for reflection correction. Firstly, a three-dimensional dynamic reflection model of the turbine blade was established to describe the ambient radiation of the target blade based on the real surface of the engine turbine blade. Secondly, based on the reflection correction model, a three-wavelength radiation temperature measurement algorithm, independent of surface emissivity, was proposed to improve the measurement accuracy of the turbine blade radiation temperature in the engine. Finally, an experimental platform was built to verify the temperature measurement method. Compared with three conventional colorimetric methods, this method achieved an improved performance on blade temperature measurement, demonstrating a decline in the maximum error from 6.09% to 2.13% and in the average error from 2.82% to 1.20%. The proposed method would benefit the accuracy in the high-temperature measurement of turbine blades.

scholarly journals Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e045826
Author(s):  
Arjun Chandna ◽  
Endashaw M Aderie ◽  
Riris Ahmad ◽  
Eggi Arguni ◽  
Elizabeth A Ashley ◽  
...  
Keyword(s):  
Observational Study ◽  
Prediction Model ◽  
Prospective Observational Study ◽  
Model Building ◽  
Venous Blood ◽  
Febrile Illness ◽  
Nasopharyngeal Swab ◽  
Acute Febrile Illness ◽  
Clinical Prediction ◽  
Open Access Journals

IntroductionIn rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assist community healthcare providers identify febrile children who might benefit from referral or admission for facility-based medical care.Methods and analysisThis prospective observational study will recruit at least 4900 paediatric inpatients and outpatients under the age of 5 years presenting with an acute febrile illness to seven hospitals in six countries across Asia. A venous blood sample and nasopharyngeal swab is collected from each participant and detailed clinical data recorded at presentation, and each day for the first 48 hours of admission for inpatients. Multianalyte assays are performed at reference laboratories to measure a panel of host biomarkers, as well as targeted aetiological investigations for common bacterial and viral pathogens. Clinical outcome is ascertained on day 2 and day 28.Presenting syndromes, clinical outcomes and aetiology of acute febrile illness will be described and compared across sites. Following the latest guidance in prediction model building, a prognostic clinical prediction model, combining simple clinical features and measurements of host biomarkers, will be derived and geographically externally validated. The performance of the model will be evaluated in specific presenting clinical syndromes and fever aetiologies.Ethics and disseminationThe study has received approval from all relevant international, national and institutional ethics committees. Written informed consent is provided by the caretaker of all participants. Results will be shared with local and national stakeholders, and disseminated via peer-reviewed open-access journals and scientific meetings.Trial registration numberNCT04285021.

scholarly journals Differential Laboratory Diagnosis of Acute Fever in Guinea: Preparedness for the Threat of Hemorrhagic Fevers

2021 ◽  
Vol 18 (11) ◽  
pp. 6022
Author(s):  
Vladimir G. Dedkov ◽  
N’Faly Magassouba ◽  
Olga A. Stukolova ◽  
Victoria A. Savina ◽  
Jakob Camara ◽  
...  
Keyword(s):  
Ebola Virus ◽  
Febrile Illness ◽  
Laboratory Diagnosis ◽  
Acute Febrile Illness ◽  
Causative Pathogen ◽  
Hemorrhagic Fevers ◽  
Wide Range ◽  
Causative Agents ◽  
Pathognomonic Sign

Acute febrile illnesses occur frequently in Guinea. Acute fever itself is not a unique, hallmark indication (pathognomonic sign) of any one illness or disease. In the infectious disease context, fever’s underlying cause can be a wide range of viral or bacterial pathogens, including the Ebola virus. In this study, molecular and serological methods were used to analyze samples from patients hospitalized with acute febrile illness in various regions of Guinea. This analysis was undertaken with the goal of accomplishing differential diagnosis (determination of causative pathogen) in such cases. As a result, a number of pathogens, both viral and bacterial, were identified in Guinea as causative agents behind acute febrile illness. In approximately 60% of the studied samples, however, a definitive determination could not be made.

scholarly journals Scrub Typhus and Molecular Characterization of Orientia tsutsugamushi from Central Nepal

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 422
Author(s):  
Rajendra Gautam ◽  
Keshab Parajuli ◽  
Mythili Tadepalli ◽  
Stephen Graves ◽  
John Stenos ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Scrub Typhus ◽  
Febrile Illness ◽  
Acute Febrile Illness ◽  
Limited Information ◽  
Orientia Tsutsugamushi ◽  
Health Measures ◽  
Central Nepal ◽  
Vector Borne

Scrub typhus is a vector-borne, acute febrile illness caused by Orientia tsutsugamushi. Scrub typhus continues to be an important but neglected tropical disease in Nepal. Information on this pathogen in Nepal is limited to serological surveys with little information available on molecular methods to detect O. tsutsugamushi. Limited information exists on the genetic diversity of this pathogen. A total of 282 blood samples were obtained from patients with suspected scrub typhus from central Nepal and 84 (30%) were positive for O. tsutsugamushi by 16S rRNA qPCR. Positive samples were further subjected to 56 kDa and 47 kDa molecular typing and molecularly compared to other O. tsutsugamushi strains. Phylogenetic analysis revealed that Nepalese O. tsutsugamushi strains largely cluster together and cluster away from other O. tsutsugamushi strains from Asia and elsewhere. One exception was the sample of Nepal_1, with its partial 56 kDa sequence clustering more closely with non-Nepalese O. tsutsugamushi 56 kDa sequences, potentially indicating that homologous recombination may influence the genetic diversity of strains in this region. Knowledge on the circulating strains in Nepal is important to the development of diagnostic tests and vaccines to support public health measures to control scrub typhus in this country.

scholarly journals Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19

2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110181
Author(s):  
Wei-Ling Lin ◽  
Chun-Hung Hsieh ◽  
Tung-Shou Chen ◽  
Jeanne Chen ◽  
Jian-Le Lee ◽  
...  
Keyword(s):  
Body Temperature ◽  
Temperature Measurement ◽  
Measurement System ◽  
Disease Surveillance ◽  
Disease Surveillance System ◽  
Temperature Detection ◽  
Wide Range ◽  
Body Temperature Measurement ◽  
Analysis System ◽  
Temperature Measurement System

Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.

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