Department of Medicine, Division of Infectious Diseases and Immunology
Health Information Technology | Infectious Disease | Virus Diseases
BACKGROUND: Early recognition and treatment of circulatory volume loss is essential in the clinical management of dengue viral infection. We hypothesized that a novel computational algorithm, originally developed for noninvasive monitoring of blood loss in combat casualties, could: (1) indicate the central volume status of children with dengue during the early stages of "shock"; and (2) track fluid resuscitation status.
METHODS: Continuous noninvasive photoplethysmographic waveforms were collected over a 5-month period from three children of Thai ethnicity with clinical suspicion of dengue. Waveform data were processed by the algorithm to calculate each child's Compensatory Reserve Index, where 1 represents supine normovolemia and 0 represents the circulatory volume at which hemodynamic decompensation occurs. Values between 1 and 0 indicate the proportion of reserve remaining before hemodynamic decompensation.
RESULTS: This case report describes a 7-year-old Thai boy, another 7-year-old Thai boy, and a 9-year-old Thai boy who exhibited signs and symptoms of dengue shock syndrome; all the children had secondary dengue virus infections, documented by serology and reverse transcriptase polymerase chain reaction. The three boys experienced substantial plasma leakage demonstrated by pleural effusion index > 25, ascites, and > 20 % hemoconcentration. They received fluid administered intravenously; one received a blood transfusion. All three boys showed a significantly low initial Compensatory Reserve Index ( > /=0.20), indicating a clinical diagnosis of "near shock". Following 5 days with fluid resuscitation treatment, their Compensatory Reserve Index increased towards "normovolemia" (that is, Compensatory Reserve Index > 0.75).
CONCLUSIONS: The results from these cases demonstrate a new variation in the diagnostic capability to manage patients with dengue shock syndrome. The findings shed new light on a method that can avoid possible adverse effects of shock by noninvasive measurement of a patient's compensatory reserve rather than standard vital signs or invasive diagnostic methods.
Decision support, Dengue shock syndrome, Machine learning, Pulse oximetry
DOI of Published Version
J Med Case Rep. 2016 Aug 24;10(1):233. doi: 10.1186/s13256-016-1019-z. Link to article on publisher's site
Journal of medical case reports
Moulton, Steven L.; Mulligan, Jane; Srikiatkhachorn, Anon; Kalanarooj, Siripen; Grudic, Greg Z.; Green, Sharone; Gibbons, Robert V.; Muniz, Gary W.; Hinojosa-Laborde, Carmen; Rothman, Alan L.; Thomas, Stephen J.; and Convertino, Victor A., "State-of-the-art monitoring in treatment of dengue shock syndrome: a case series" (2016). Open Access Articles. 2924.
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