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Background <p>In recent years, Bangladesh has seen a rise in dengue cases, accompanied by higher hospitalization and mortality rates. This paper deals with the laboratory and ultrasound predictors of ICU admission among hospitalized dengue patients in Dhaka North City Corporation (DNCC) Dedicated COVID-19 Hospital in 2023.</p> Methods <p>Three hundred five serological test-positive hospitalized dengue patients were enrolled in this prospective cohort study. Upon admission, each patient was tested for several laboratory markers including Hb%, hematocrit level, platelet count, and serum SGPT level. Each patient had at least one ultrasound examination by a certified radiologist on the 1st day of admission. Patients were followed until discharge from the hospital or in-hospital death.</p> Results and discussion <p>In bivariate analysis, significant association was observed between ICU admission status and platelet count [<i>t</i>(226.5) = 9.9, <i>p</i> &lt; 0.05], hospital stay (in days) [<i>t</i>(244.3) = − 18.0, <i>p</i> &lt; 0.05], level of SGPT [<i>t</i>(203.2) = − 4.3, <i>p</i> &lt; 0.05], thickening of gall bladder (in mm) [<i>t</i>(253.7) = − 12.2, <i>p</i> &lt; 0.05], pleural effusion [<i>X</i><sup>2</sup>(1) = 71.8, <i>p</i> &lt; .05], ascites [<i>X</i><sup>2</sup>(1) = 77.5, <i>p</i> &lt; .05], organomegaly [<i>X</i><sup>2</sup>(1) = 24.8, <i>p</i> &lt; .05], hepatic echotexture status [<i>p</i> &lt; .05], and pancreatic abnormality [<i>p</i> &lt; .05]. In the multivariable model, after adjusting of variables, a significant association was observed between ICU admission status and platelet count (aOR 0.81; 95% CI 0.72–0.91; <i>p</i> &lt; 0.05), gall bladder wall thickness (aOR 1.19; 95% CI 1.06–1.34; <i>p</i> &lt; 0.05), and ascites (aOR 6.05; 95% CI 2.33–15.75; <i>p</i> &lt; 0.05).</p> Conclusion <p>In resource-limited settings like Bangladesh, triaging vulnerable patients based on laboratory and ultrasound profiles may enhance clinical management and improve patient outcomes.</p>

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Biochemical and ultrasound predictors of ICU admission among hospitalized dengue patients in Bangladesh

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月26日

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  • Md. Tanzilur Rahman,
  • Md. Ibrahim,
  • Nahid Farjana,
  • Nafisa Akkas,
  • Nishat Un Nahar,
  • AKM Johirul Hossain Khan,
  • Sadia Sultana Resma,
  • Husnaion Zubery,
  • Md. Masud Hasan,
  • S. Mahmudul Hasan,
  • Md Maruf Ahmed Molla

摘要

Background

In recent years, Bangladesh has seen a rise in dengue cases, accompanied by higher hospitalization and mortality rates. This paper deals with the laboratory and ultrasound predictors of ICU admission among hospitalized dengue patients in Dhaka North City Corporation (DNCC) Dedicated COVID-19 Hospital in 2023.

Methods

Three hundred five serological test-positive hospitalized dengue patients were enrolled in this prospective cohort study. Upon admission, each patient was tested for several laboratory markers including Hb%, hematocrit level, platelet count, and serum SGPT level. Each patient had at least one ultrasound examination by a certified radiologist on the 1st day of admission. Patients were followed until discharge from the hospital or in-hospital death.

Results and discussion

In bivariate analysis, significant association was observed between ICU admission status and platelet count [t(226.5) = 9.9, p < 0.05], hospital stay (in days) [t(244.3) = − 18.0, p < 0.05], level of SGPT [t(203.2) = − 4.3, p < 0.05], thickening of gall bladder (in mm) [t(253.7) = − 12.2, p < 0.05], pleural effusion [X2(1) = 71.8, p < .05], ascites [X2(1) = 77.5, p < .05], organomegaly [X2(1) = 24.8, p < .05], hepatic echotexture status [p < .05], and pancreatic abnormality [p < .05]. In the multivariable model, after adjusting of variables, a significant association was observed between ICU admission status and platelet count (aOR 0.81; 95% CI 0.72–0.91; p < 0.05), gall bladder wall thickness (aOR 1.19; 95% CI 1.06–1.34; p < 0.05), and ascites (aOR 6.05; 95% CI 2.33–15.75; p < 0.05).

Conclusion

In resource-limited settings like Bangladesh, triaging vulnerable patients based on laboratory and ultrasound profiles may enhance clinical management and improve patient outcomes.