Literature DB >> 25690997

Development of a novel scheme for long-term body temperature monitoring: a review of benefits and applications.

David Cuesta-Frau1, Manuel Varela-Entrecanales, Raul Valor-Perez, Borja Vargas.   

Abstract

Body temperature is a health or disease marker that has been in clinical use for centuries. The threshold currently applied to define fever, with small variations, is 38 °C. However, current approaches do not provide a full picture of the thermoregulation process and its correlation with disease. This paper describes a new non-invasive body temperature device that improves the understanding of the pathophysiology of diseases by integrating a variety of temperature data from different body locations. This device enables to gain a deeper insight into fever, endogenous rhythms, subject activity and ambient temperature to provide anticipatory and more efficient treatments. Its clinical use would be a big step in the overcoming of the anachronistic febrile/afebrile dichotomy and walking towards a system medicine approach to certain diseases. This device has already been used in some clinical applications successfully. Other possible applications based on the device features and clinical requirements are also described in this paper.

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Year:  2015        PMID: 25690997     DOI: 10.1007/s10916-015-0209-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

1.  Physiological time-series analysis using approximate entropy and sample entropy.

Authors:  J S Richman; J R Moorman
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2.  Cognition is cool: Can hemispheric activation be assessed by tympanic membrane thermometry?

Authors:  Nicolas Cherbuin; Cobie Brinkman
Journal:  Brain Cogn       Date:  2004-04       Impact factor: 2.310

3.  Glycemic pattern in diabetic patients on hemodialysis: continuous glucose monitoring (CGM) analysis.

Authors:  Massimo Gai; Ilenia Merlo; Sergio Dellepiane; Vincenzo Cantaluppi; Gianluca Leonardi; Fabrizio Fop; Cesare Guarena; Giorgio Grassi; Luigi Biancone
Journal:  Blood Purif       Date:  2014-10-07       Impact factor: 2.614

4.  Temperature curve complexity predicts survival in critically ill patients.

Authors:  Manuel Varela; Juan Churruca; Ana Gonzalez; Alfredo Martin; Jesus Ode; Pedro Galdos
Journal:  Am J Respir Crit Care Med       Date:  2006-05-11       Impact factor: 21.405

5.  Holter monitoring of central and peripheral temperature: possible uses and feasibility study in outpatient settings.

Authors:  Manuel Varela; David Cuesta; Juan Antonio Madrid; Juan Churruca; Pau Miro; Raul Ruiz; Carlos Martinez
Journal:  J Clin Monit Comput       Date:  2009-07-16       Impact factor: 2.502

Review 6.  Clinical review: scoring systems in the critically ill.

Authors:  Jean-Louis Vincent; Rui Moreno
Journal:  Crit Care       Date:  2010-03-26       Impact factor: 9.097

7.  Fever patterns. Their lack of clinical significance.

Authors:  D M Musher; V Fainstein; E J Young; T L Pruett
Journal:  Arch Intern Med       Date:  1979-11

Review 8.  Continuous versus intermittent physiological monitoring for acute stroke.

Authors:  Alfonso Ciccone; Maria Grazia Celani; Raimondo Chiaramonte; Cristiana Rossi; Enrico Righetti
Journal:  Cochrane Database Syst Rev       Date:  2013-05-31

9.  Description of a portable wireless device for high-frequency body temperature acquisition and analysis.

Authors:  David Cuesta-Frau; Manuel Varela; Mateo Aboy; Pau Miró-Martínez
Journal:  Sensors (Basel)       Date:  2009-09-28       Impact factor: 3.576

10.  Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study.

Authors:  Anne M Drewry; Brian M Fuller; Thomas C Bailey; Richard S Hotchkiss
Journal:  Crit Care       Date:  2013-09-12       Impact factor: 9.097

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  3 in total

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Authors:  Borja Vargas; David Cuesta-Frau; Paula González-López; María-José Fernández-Cotarelo; Óscar Vázquez-Gómez; Ana Colás; Manuel Varela
Journal:  Entropy (Basel)       Date:  2022-04-05       Impact factor: 2.738

2.  Mean core to peripheral temperature difference and mean lactate levels in first 6 hours of hospitalisation as two indicators of prognosis: an observational cohort study.

Authors:  Aashish Gupta; Jacob Puliyel; Bhawana Garg; Pramod Upadhyay
Journal:  BMC Pediatr       Date:  2020-11-10       Impact factor: 2.125

3.  Fever Time Series Analysis Using Slope Entropy. Application to Early Unobtrusive Differential Diagnosis.

Authors:  David Cuesta-Frau; Pradeepa H Dakappa; Chakrapani Mahabala; Arjun R Gupta
Journal:  Entropy (Basel)       Date:  2020-09-15       Impact factor: 2.524

  3 in total

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