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Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
Published on: July 7, 2023
Self-reported pain intensity with the numeric reporting scale in adult dengue
Joshua G X Wong1, Victor C Gan1, Ee-Ling Ng1
1Institute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Background:
Pain is a prominent feature of acute dengue as well as a clinical criterion in World Health Organization guidelines in diagnosing dengue. We conducted a prospective cohort study to compare levels of pain during acute dengue between different ethnicities and dengue severity.
Methods:
Demographic, clinical and laboratory data were collected. Data on self-reported pain was collected using the 11-point Numerical Rating Scale. Generalized structural equation models were built to predict progression to severe disease.
Results:
A total of 499 laboratory confirmed dengue patients were recruited in the Prospective Adult Dengue Study at Tan Tock Seng Hospital, Singapore. We found no statistically significant differences between pain score with age, gender, ethnicity or the presence of co-morbidity. Pain score was not predictive of dengue severity but highly correlated to patients' day of illness. Prevalence of abdominal pain in our cohort was 19%. There was no difference in abdominal pain score between grades of dengue severity.
Conclusion:
Dengue is a painful disease. Patients suffer more pain at the earlier phase of illness. However, pain score cannot be used to predict a patient's progression to severe disease.
