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Scholars Journal of Applied Medical Sciences | Volume-8 | Issue-04
Post Monsoon Rise in Incidence of Dengue Viral Infections among Patients Admitted at a Tertiary Care Center during the year 2018-2019: A Prospective Study
Dr. B. Swetha, Dr. M. L. Kavithalatha, Dr. G. Jyothilakshmi
Published: April 8, 2020 | 151 159
DOI: 10.36347/sjams.2020.v08i04.008
Pages: 1093-1097
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Abstract
Purpose: This study was done to find out relationship of dengue infection with climatic factors &clinical status of the patients who were serologically positive for dengue and their clinical outcome during the year 2018-2019 from March2018 to October2019. Dengue is endemic all over India. Confirmation of Dengue viral infection is the most important & essential prerequisite for managing complications associated with dengue viral infection. Infection with the DENV serotypes may be asymptomatic in majority of cases or may result in wide spectrum of clinical symptoms ranging from mild flu like syndrome to complications such as coagulopathy, increased vascular permeability & fragility. Materials and Methods: Serum samples were collected from 1600 patients presenting, with febrile illness clinically consistent with dengue infection. Serological confirmation of dengue infection was done using IgM ELISA dengue NIV pune kit &NS1 Ag detection by ELISA. Results: Out of 1600samples, 356 were confirmed serologically positive, of which 219 were IgM positive and 137 were NS1 antigen positive. Large proportions were adult Males. Outbreak coincided with post monsoon period. Among 300 positive patients all presented with fever but duration of less than 5 days were 137 (45.6%) rest had fever more than 5 days , fever with rash were 152(50.6% ) & fever with thrombocytopenia were257(85.6%) &on discharge platelet count reverted to normal 263(87.6%) cases and some cases were referred to higher center for further management of DHS&DSS. Cocnclusion: This study highlighted climatic factors as major criteria responsible for viral infection & some important information in clinical & laboratory data that can be used for early prediction of on coming dengue fevers, early diagnosis & subsequently for appropriate treatment of dengue fevers and preventive measures.