Title |
Near-infrared spectroscopy as a predictor of clinical deterioration: a case report of two infants with duct-dependent congenital heart disease
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Published in |
BMC Pediatrics, March 2017
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DOI | 10.1186/s12887-017-0839-3 |
Pubmed ID | |
Authors |
Mirthe J. Mebius, Gideon J. du Marchie Sarvaas, Diana W. Wolthuis, Beatrijs Bartelds, Martin C. J. Kneyber, Arend F. Bos, Elisabeth M. W. Kooi |
Abstract |
Some infants with congenital heart disease are at risk of in-hospital cardiac arrest. To better foresee cardiac arrest in infants with congenital heart disease, it might be useful to continuously assess end-organ perfusion. Near-infrared spectroscopy is a non-invasive method to continuously assess multisite regional tissue oxygen saturation. We report on two infants with duct-dependent congenital heart disease who demonstrated a gradual change in cerebral and/or renal tissue oxygen saturation before cardiopulmonary resuscitation was required. In both cases, other clinical parameters such as heart rate, arterial oxygen saturation and blood pressure did not indicate that deterioration was imminent. These two cases demonstrate that near-infrared spectroscopy might contribute to detecting a deteriorating clinical condition and might therefore be helpful in averting cardiopulmonary collapse and need for resuscitation in infants with congenital heart disease. |
X Demographics
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 5 | 13% |
Researcher | 4 | 11% |
Other | 3 | 8% |
Student > Master | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 6 | 16% |
Unknown | 15 | 39% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 17 | 45% |
Nursing and Health Professions | 2 | 5% |
Engineering | 2 | 5% |
Neuroscience | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 39% |