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

Main Article Content

Partabpuri
Mahesh Kumar
Muhammad Kaleem
Suresh Kumar
Ravi Kumar
Tazeem Hussain

Keywords

....

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.

Abstract 257 | PDF Downloads 54

References

1. Khan AZ, Sabir O, Shahid AH, Basit MB, Shah SA, Sajad Q. HEAL-Dengue: Hospital-based Exploration, Analysis and Learning about Dengue Outcomes (HEAL-D-ALDO). Pakistan Journal of Medical Research. 2024;63(4):168-75.
2. Jain M. Dengue: Emerging Health Problem. INROADS-An International Journal of Jaipur National University. 2012;1(1):17-8.
3. Fida Z, Khan Z, Khan A, Khan H, Rahman FU. Outcome of patients with dengue fever. Gomal Journal of Medical Sciences. 2016;14(3).
4. Islam QT, Basher A, Amin R. Dengue: a practical experience of medical professionals in hospital. Journal of Medicine. 2012 Nov 26;13(2):160-4.
5. World Health Organisation. Denge and severe denge. Accessed on 12th December 2024) Available from URL:https://www.who.int/news-room/factsheets/detail/dengue-and-severe-dengue(2024)
6. Thaher MA, Ahmad SR, Addepalli Chandrasekhar AC. Clinical presentation and outcome of dengue cases in a tertiary-care hospital, Hyderabad.
7. Jahan F. Dengue fever (DF) in Pakistan. Asia Pacific Family Med 2011; 10: 1-4
8. Shaikh OA, Baig MT, Tahir S, Parekh AD, Nashwan AJ. Dengue outbreak following unprecedented flooding in Pakistan. Hyg Environmen Health Adv 2023; 7: 100076.
9. World Population Review. Lahore, Pakistan Population 2024. Accessed on 12th December 2024) Available from URL:https://worldpopulationreview. com/world-cities/lahore-population
10. Hermann LL, Thaisomboonsuk B, Poolpanichupatam Y, Jarman RG, Kalayanarooj S, Nisalak A, et al. Evaluation of a dengue NS1 antigen detection assay sensitivity and specificity for the diagnosis of acute dengue virus infection. PLoS Negl Trop Dis 2014; 8(10): e3193
11. Schaefer TJ, Panda PK, Wolford RW. Dengue Fever. National Library of Medicine. StatPearl Publishing2022; 26: 2022
12. Bolarinwa OA. Sample size estimation for health and social science researchers: The principles and considerations for different study designs. Niger Postgrad Med J 2020; 27(2): 67-75.
13. Mahmood R, Benzadid MS, Weston S, Hossain A, Ahmed T, Mitra DK, et al. Dengue outbreak 2019: clinical and laboratory profiles of dengue virus infection in Dhaka city. Heliyon 2021; 7(6): e07183.
14. Sami CA, Tasnim R, Hassan SS, Khan AH, Yasmin R, Monir-uz-Zaman M, et al. Clinical profile and early severity predictors of dengue fever: Current trends for the deadliest dengue infection in Bangladesh in 2022. IJID Reg 2023; 9: 42-8.
15. Toledo J, George L, Martinez E, Lazaro A, Han WW, Coelho GE, et al. Relevance of non-communicable comorbidities for the development of the severe forms of dengue: a systematic literature review. PLoS Negl Trop Dis 2016; 10(1): e0004284.
16. Agrawal VK, Prusty BS, Reddy CS, Reddy GK, Agrawal RK, Bandaru VC. Clinical profile and predictors of Severe Dengue disease: A study from South India. Caspian J Int Med 2018; 9(4): 334.
17. John KJ, Gunasekaran K, Prasad JD, Mathew D, Das S, Sultan N, et al. Predictors of major bleeding and mortality in dengue infection: a retrospective observational study in a tertiary care centre in South India. Interdiscip Perspect Infect Dis 2019; 2019: 1-7.
18. Ali N, Usman M, Syed N, Khurshid M. Haemorrhagic manifestations and utility of haematological parameters in dengue fever: a tertiary care centre experience at Karachi. Scandinavian J Infect Dis 2007; 39(11-12): 1025-8.
19. Shah V, Jain U. Clinical profile of patient with dengue fever in a tertiary care teaching hospital. Int J Med Sci Public Health. 2017 Jan 1;6(1):165-7.
20. Khan H. Wake-up: Dengue epidemic is at the door step. Gomal Journal of Medical Sciences. 2011;9(2).