TO EVALUATE DENGUE PATIENTS IN ORDER TO DETECT THE SEVERITY OF THE DISEASE, THE OUTCOMES, AND THE FACTORS THAT INCREASE THE RISK OF DEATH

Dengue fever, commonly referred to as break-bone fever, is a viral illness transmitted to humans through the bites of Aedes albopictus and Aedes aegypti mosquitoes. The causative agent, known as the Dengue virus (DENV), is a single-stranded RNA virus that belongs to the Flaviviridae family. According to the World Health Organization (WHO), there are between 100 to 400 million reported cases of dengue each year as of March 2023. A key biomarker for detecting the dengue virus is the non-structural protein 1 (NS1) antigen. This antigen has a specificity of approximately 99% and a sensitivity of about 80%, making it a reliable indicator of infection. Notably, the NS1 antigen can be detected from the first day of infection, facilitating early diagnosis and intervention. Similarly, IgM anti-dengue antibodies are also used to detect dengue virus. Objective: To evaluate dengue patients in order to detect the severity of the disease, the outcomes, and the factors that increase the risk of death Study design: An observational study Duration and place of study: This study was conducted in Muhammad Medical College / Ibn-E-Sina University Mirpurkhas from March 2024 to March 2025 Methodology: This is an observational study which was performed in the Department of medicine in medical wards, and ICUs. There were a total of 160 people of both genders included in this research. All the participants had symptoms of dengue. Moreover, all the participants were tested positive for the IgM Anti-dengue antibodies and NS1 antigen and they were admitted in the ICU or wards. Routine lab tests were performed as per the local guidelines for dengue management. Participants's blood test results, clinical signs, and biochemical data were gathered. Data was analysed using R Statistical Software.

Authors

Publication Details

Published
2025-08-25
DOI
https://doi.org/10.53555/vsgask89
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TO EVALUATE DENGUE PATIENTS IN ORDER TO DETECT THE SEVERITY OF THE DISEASE, THE OUTCOMES, AND THE FACTORS THAT INCREASE THE RISK OF DEATH

Partabpuri Partabpuri
Mosquito-borne diseases and control
article

TO EVALUATE DENGUE PATIENTS IN ORDER TO DETECT THE SEVERITY OF THE DISEASE, THE OUTCOMES, AND THE FACTORS THAT INCREASE THE RISK OF DEATH

Partabpuri Partabpuri
article en

Abstract

Dengue fever, commonly referred to as break-bone fever, is a viral illness transmitted to humans through the bites of Aedes albopictus and Aedes aegypti mosquitoes. The causative agent, known as the Dengue virus (DENV), is a single-stranded RNA virus that belongs to the Flaviviridae family. According to the World Health Organization (WHO), there are between 100 to 400 million reported cases of dengue each year as of March 2023. A key biomarker for detecting the dengue virus is the non-structural protein 1 (NS1) antigen. This antigen has a specificity of approximately 99% and a sensitivity of about 80%, making it a reliable indicator of infection. Notably, the NS1 antigen can be detected from the first day of infection, facilitating early diagnosis and intervention. Similarly, IgM anti-dengue antibodies are also used to detect dengue virus. Objective: To evaluate dengue patients in order to detect the severity of the disease, the outcomes, and the factors that increase the risk of death Study design: An observational study Duration and place of study: This study was conducted in Muhammad Medical College / Ibn-E-Sina University Mirpurkhas from March 2024 to March 2025 Methodology: This is an observational study which was performed in the Department of medicine in medical wards, and ICUs. There were a total of 160 people of both genders included in this research. All the participants had symptoms of dengue. Moreover, all the participants were tested positive for the IgM Anti-dengue antibodies and NS1 antigen and they were admitted in the ICU or wards. Routine lab tests were performed as per the local guidelines for dengue management. Participants's blood test results, clinical signs, and biochemical data were gathered. Data was analysed using R Statistical Software.

Openalex Percentile: Top 69%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.