2019
DOI: 10.1111/wrr.12696
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Use of voltammetric analysis for fast and objective discrimination of the etiology, evolution, and bacterial infection of lower limb ulcers

Abstract: The timely recognition of leg ulcers (LU) etiology and infection is pivotal to optimize management and accelerate healing. The objective of this proof-of-concept study was to test the diagnostic performance of voltammetric analysis (VA) on ulcer exudate to identify LU etiology, infection, and predict clinical course. We enrolled 25 patients aged ≥60 years, affected by 42 venous/arterial LU. Clinical examination (Leg Ulcer Measurement Tool score, LUMT), swab culture, and VA were performed at baseline and 30 day… Show more

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Cited by 6 publications
(9 citation statements)
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References 16 publications
(19 reference statements)
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“…[18] Similarly, VA showed an overall accuracy of 94% in detecting infections of leg ulcers. [19] Currently, we do not have a clear explanation for the reduced diagnostic performance of e-tongue with respect to WBC count in ascites.…”
Section: Plos Onementioning
confidence: 94%
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“…[18] Similarly, VA showed an overall accuracy of 94% in detecting infections of leg ulcers. [19] Currently, we do not have a clear explanation for the reduced diagnostic performance of e-tongue with respect to WBC count in ascites.…”
Section: Plos Onementioning
confidence: 94%
“…Indeed, VA could satisfactorily disclose the infectious or non infectious state of cutaneous ulcers in only 25 patients and of the urine in 142 patients. [18,19] E-tongue showed rather poor predictive capacities towards both total WBC count and PMN count both in the whole population (RMSECV of 485 and of 846 for total cell and PMN count, respectively; Fig 2, panel A) and limited to the subgroup of cirrhotic patients (RMSECV of 384 and of 236 for total cell and PMN count, respectively; Fig 2, panel B). Since only 4 patients were finally diagnosed with SBP, the diagnostic accuracy of e-tongue towards SBP was not calculated.…”
Section: Plos Onementioning
confidence: 99%
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“…This technique is based on a sensor system able to analyze many different biological fluids [ 8 , 9 ], already tested in numerous experiments in the medical field [ 10 , 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%