Cargando…

Factors Predicting Severe Dengue in Patients with Dengue Fever

INTRODUCTION: Dengue virus (DENV) affects over half the world’s population in 112 countries, and dengue fever (DF) is the second largest arthropod borne infectious global hazard after malaria with complications like Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS), accounting for signi...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Muhammad Imran Hasan, Anwar, Eram, Agha, Adnan, Hassanien, Noha Saleh Mohamed, Ullah, Ehsan, Syed, Imran Ali, Raja, Arsalan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Università Cattolica del Sacro Cuore 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3591277/
https://www.ncbi.nlm.nih.gov/pubmed/23505602
http://dx.doi.org/10.4084/MJHID.2013.014
_version_ 1782262020160094208
author Khan, Muhammad Imran Hasan
Anwar, Eram
Agha, Adnan
Hassanien, Noha Saleh Mohamed
Ullah, Ehsan
Syed, Imran Ali
Raja, Arsalan
author_facet Khan, Muhammad Imran Hasan
Anwar, Eram
Agha, Adnan
Hassanien, Noha Saleh Mohamed
Ullah, Ehsan
Syed, Imran Ali
Raja, Arsalan
author_sort Khan, Muhammad Imran Hasan
collection PubMed
description INTRODUCTION: Dengue virus (DENV) affects over half the world’s population in 112 countries, and dengue fever (DF) is the second largest arthropod borne infectious global hazard after malaria with complications like Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS), accounting for significant morbidity and mortality world-over. Pakistan is significantly affected with DENV infection and to-date no study identifying risk factors associated with development of severe complications of DF has been done. METHODS: 997 confirmed cases of DF were collected from a tertiary care hospital in Lahore, Pakistan and their clinical and biochemical data were collected. Univariate, multivariate and logistics regression analysis was performed to identify risk factors associated with development of DHF and DSS. RESULTS: Bleeding OR 70.7 (CI 38.4–129.9), deranged liver function test OR 1.9 (CI 0.97–0.99), presence of urinary red blood cells OR 1.4 (95%CI 0.179–0.900) and presence of urinary protein OR 1.1 (95%CI 0.191–0.974) were related to development of DHF and DSS. DISCUSSION: Severe Dengue, like DHF and DSS can be predicted by the presence of clinical and biochemical factors like signs of bleeding, deranged liver function test, presence of urinary red blood cells and urinary protein; so that the patients at high risk for complication be identified early and started on treatment timely. CONCLUSION: Predictors of severe dengue are identified in this study but further large scale multi-centered studies are needed for better interpretation.
format Online
Article
Text
id pubmed-3591277
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Università Cattolica del Sacro Cuore
record_format MEDLINE/PubMed
spelling pubmed-35912772013-03-15 Factors Predicting Severe Dengue in Patients with Dengue Fever Khan, Muhammad Imran Hasan Anwar, Eram Agha, Adnan Hassanien, Noha Saleh Mohamed Ullah, Ehsan Syed, Imran Ali Raja, Arsalan Mediterr J Hematol Infect Dis Original Articles INTRODUCTION: Dengue virus (DENV) affects over half the world’s population in 112 countries, and dengue fever (DF) is the second largest arthropod borne infectious global hazard after malaria with complications like Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS), accounting for significant morbidity and mortality world-over. Pakistan is significantly affected with DENV infection and to-date no study identifying risk factors associated with development of severe complications of DF has been done. METHODS: 997 confirmed cases of DF were collected from a tertiary care hospital in Lahore, Pakistan and their clinical and biochemical data were collected. Univariate, multivariate and logistics regression analysis was performed to identify risk factors associated with development of DHF and DSS. RESULTS: Bleeding OR 70.7 (CI 38.4–129.9), deranged liver function test OR 1.9 (CI 0.97–0.99), presence of urinary red blood cells OR 1.4 (95%CI 0.179–0.900) and presence of urinary protein OR 1.1 (95%CI 0.191–0.974) were related to development of DHF and DSS. DISCUSSION: Severe Dengue, like DHF and DSS can be predicted by the presence of clinical and biochemical factors like signs of bleeding, deranged liver function test, presence of urinary red blood cells and urinary protein; so that the patients at high risk for complication be identified early and started on treatment timely. CONCLUSION: Predictors of severe dengue are identified in this study but further large scale multi-centered studies are needed for better interpretation. Università Cattolica del Sacro Cuore 2013-02-16 /pmc/articles/PMC3591277/ /pubmed/23505602 http://dx.doi.org/10.4084/MJHID.2013.014 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Khan, Muhammad Imran Hasan
Anwar, Eram
Agha, Adnan
Hassanien, Noha Saleh Mohamed
Ullah, Ehsan
Syed, Imran Ali
Raja, Arsalan
Factors Predicting Severe Dengue in Patients with Dengue Fever
title Factors Predicting Severe Dengue in Patients with Dengue Fever
title_full Factors Predicting Severe Dengue in Patients with Dengue Fever
title_fullStr Factors Predicting Severe Dengue in Patients with Dengue Fever
title_full_unstemmed Factors Predicting Severe Dengue in Patients with Dengue Fever
title_short Factors Predicting Severe Dengue in Patients with Dengue Fever
title_sort factors predicting severe dengue in patients with dengue fever
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3591277/
https://www.ncbi.nlm.nih.gov/pubmed/23505602
http://dx.doi.org/10.4084/MJHID.2013.014
work_keys_str_mv AT khanmuhammadimranhasan factorspredictingseveredengueinpatientswithdenguefever
AT anwareram factorspredictingseveredengueinpatientswithdenguefever
AT aghaadnan factorspredictingseveredengueinpatientswithdenguefever
AT hassaniennohasalehmohamed factorspredictingseveredengueinpatientswithdenguefever
AT ullahehsan factorspredictingseveredengueinpatientswithdenguefever
AT syedimranali factorspredictingseveredengueinpatientswithdenguefever
AT rajaarsalan factorspredictingseveredengueinpatientswithdenguefever