{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:58:46Z","timestamp":1792807126617,"version":"4.5.0"},"reference-count":14,"publisher":"Jaypee Brothers Medical Publishing","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAPI"],"published-print":{"date-parts":[[2022,9,7]]},"abstract":"<jats:p>Background: Dengue infection is a disease that progresses rapidly to life-threatening conditions.  Our goal was to develop a practical scoring system based on clinical profiles and routine tests to  predict the severity of infection. Methods: This cross-sectional observational study included 500 patients with dengue infection.  Patient demographics, clinical symptoms, regular laboratory tests, and results were collected.  Dengue infections are divided into three classes, depending on their severity: dengue fever (DF),  dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Based on the total score,  patients were divided into three severities. Results: Patients with DSS and DHF scored higher with worsening clinical features and routine  laboratory tests compared to DF. Clinical predictors of severity include older age, increased white  blood cell (WBC) count, increased hematocrit, increased prothrombin time, decreased platelet  count, decreased blood pressure, presence of peri-gallbladder (GB) edema, third space loss,  hepatomegaly, and other organ involvement. The severity range is 0\u201312, and the score is 0\u20133 for  DF, 4\u20138 for DHF, and 9\u201312 for DSS. Based on the derived scores, patients were classified according  to their original severity in 63% of cases. Conclusion: This dengue infection severity scores correctly classified patients according to their  original severity grade of DF, DHF, or DSS. This scoring system helps to quickly assess dengue  infections and start treatment according to the correct severity category.<\/jats:p>","DOI":"10.5005\/japi-11001-0095","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T08:22:21Z","timestamp":1669018941000},"page":"19-22","source":"Crossref","is-referenced-by-count":4,"title":["Establishment of SMS Dengue Severity Score"],"prefix":"10.59556","volume":"70","author":[{"given":"Sudhir","family":"Bhandari","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Govind","family":"Rankawat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barkha","family":"Goyal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anurag","family":"Lohmror","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vishal","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ajeet","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2914","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"ref-1","doi-asserted-by":"crossref","unstructured":"Guzman MG, Harris E. Dengue. Lancet 2015;385(9966):453\u2013465.","DOI":"10.1016\/S0140-6736(14)60572-9"},{"key":"ref-2","unstructured":"World Health Organization & Special Programme for Research and Training in Tropical Diseases. Dengue Guidelines for Diagnosis, Treatment, Prevention and Control. WHO; 2009. Available from: http:\/\/apps.who.int\/iris\/bitstream\/10665\/44188\/1\/9789241547871%20eng.pdf"},{"key":"ref-3","unstructured":"World Health Organization. Dengue Hemorrhagic Fever: Diagnosis, Treatment, Prevention and Control. 2nd ed. WHO Press; 1997."},{"key":"ref-4","doi-asserted-by":"crossref","unstructured":"Guzman MG, Kour G. Dengue diagnosis, advances and challenges. Int J Infect Dis 2004;8(2):69\u201380.","DOI":"10.1016\/j.ijid.2003.03.003"},{"key":"ref-5","unstructured":"Sarin YK, Singh S, Singh T. Dengue viral infection. Indian Pediatr 1998;35(2):129\u2013137."},{"key":"ref-6","doi-asserted-by":"crossref","unstructured":"Neeraja M, Lakshmi V, Teja VD, et al. Serodiagnosis of dengue virus infection in patients presenting to a tertiary care hospital. Indian J Med Microbiol 2006;24(4):280\u2013282.","DOI":"10.1016\/S0255-0857(21)02289-1"},{"key":"ref-7","doi-asserted-by":"crossref","unstructured":"Pongpan S, Wisitwong A, Tawichasri C, et al. Prognostic indicators for dengue infection severity. Int J Clin Pediatr 2013;2(1):12\u201318.","DOI":"10.1155\/2013\/845876"},{"key":"ref-8","unstructured":"Sawasdivorn S, Vibulvattanakit S, Sasavatpakdee M, et al. Efficacy of clinical diagnosis of dengue fever in paediatric age groups as determined by WHO case definition 1997 in Thailand. Dengue Bull 2001;25:56\u201364."},{"key":"ref-9","unstructured":"World Health Organization. Dengue Hemorrhagic Fever: Diagnosis, Treatment, Prevention and Control. Geneva, Switzerland: World Health Organization; 1997."},{"key":"ref-10","doi-asserted-by":"crossref","unstructured":"Chang K, Lu PL, Ko WC, et al. Dengue fever scoring system: new strategy for the early detection of acute dengue virus infection in Taiwan. J Formosan Med Assoc 2009;108(11):879\u2013885.","DOI":"10.1016\/S0929-6646(09)60420-4"},{"key":"ref-11","unstructured":"Oishi K, Mapua CA, Carlos CC, et al. Dengue and other febrile illnesses among children in the Philippines. Dengue Bull 2006;30:26\u201334."},{"key":"ref-12","unstructured":"Thitiprayoonwongse D, Suriyapkol P, Soonthornphisaj N. Data mining of dengue infection using decision tree. In: Latest Advances in Information Science and Applications: The 12th WSEAS International Conference on Applied Computer Science; 2012. p. 154\u2013159."},{"key":"ref-13","doi-asserted-by":"crossref","unstructured":"Lee VJ, Lye DC, Sun Y, et al. Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore. Trop Med Int Health 2009;14(9):1154\u20131159.","DOI":"10.1111\/j.1365-3156.2009.02337.x"},{"key":"ref-14","doi-asserted-by":"crossref","unstructured":"Iskandar HR, Mulyo D, Agnes P, et al. Comparison of pediatric logistic organ dysfunction (PELOD) score and pediatric risk of mortality (PRISM) III as a mortality predictor in patients with dengue shock syndrome. Pediatrics 2009;121(supplement 2):S129.","DOI":"10.1542\/peds.2007-2022NNNN"}],"container-title":["Journal of the Association of Physicians of India"],"original-title":[],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T10:57:04Z","timestamp":1745578624000},"score":1,"resource":{"primary":{"URL":"https:\/\/japi.org\/article\/files\/JAPI0095_p19-22.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"references-count":14,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2022,9,1]]},"published-print":{"date-parts":[[2022,9,7]]}},"URL":"https:\/\/doi.org\/10.5005\/japi-11001-0095","relation":{},"ISSN":["0004-5772"],"issn-type":[{"value":"0004-5772","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9,1]]}}}