The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue
This study aimed to evaluate vascular endothelial growth factor (VEGF) and pentraxin 3 (PTX-3) as predictive and diagnostic markers in differentiating severe dengue from non-severe dengue. The study was conducted in Ampang Health Clinic, Ampang Hospital and Serdang Hospital. The plasma levels of VEG...
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| Format: | Article |
| Language: | English |
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Taylor and Francis
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/74246/ http://psasir.upm.edu.my/id/eprint/74246/1/DENGUE.pdf |
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| author | Kim, Gary Kuan Low Gan, Seng-Chiew Zainal, Norsafina Naidu, Komala Devi Amin Nordin, Syafinaz Ching, Soong Khoo Ridzuan, Mohd Isa Mohd Said, Rosaida Mohd Mansor, Melor Zailani, Mohd Hanif Hui, Yee Chee Lim, Sheng Jye Suppiah, Jeyanthi Appu, Santhi Ismail, Izani Zin, Thaw Te, Kian Keong Mohd Hatta, Nadia |
| author_facet | Kim, Gary Kuan Low Gan, Seng-Chiew Zainal, Norsafina Naidu, Komala Devi Amin Nordin, Syafinaz Ching, Soong Khoo Ridzuan, Mohd Isa Mohd Said, Rosaida Mohd Mansor, Melor Zailani, Mohd Hanif Hui, Yee Chee Lim, Sheng Jye Suppiah, Jeyanthi Appu, Santhi Ismail, Izani Zin, Thaw Te, Kian Keong Mohd Hatta, Nadia |
| author_sort | Kim, Gary Kuan Low |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study aimed to evaluate vascular endothelial growth factor (VEGF) and pentraxin 3 (PTX-3) as predictive and diagnostic markers in differentiating severe dengue from non-severe dengue. The study was conducted in Ampang Health Clinic, Ampang Hospital and Serdang Hospital. The plasma levels of VEGF and PTX-3 were compared between severe dengue and non-severe dengue by ELISA from the day of presentation until discharged. Multiple logistic regression was used to develop predictive and diagnostic models by incorporating other clinical parameters. The receiver operating characteristics (ROC) analysis was used to assess the accuracy of the biomarkers and the developed models. Eighty-two patients were recruited, 29 with severe dengue and four died. The Area Under the Curve (AUC) was statistically significant in VEGF as diagnostic marker at Day 2 and 3 of illness with sensitivity of 80.00%-100.00% and specificity of 76.47%-80.00%. The predictive model with AUC of 0.84 (p < 0.01) has a sensitivity of 100.00% and specificity of 79.25% for predicting severe dengue. The diagnostic model with AUC of 0.71 (p < 0.01) has a sensitivity of 76.19% and specificity of 73.58% for diagnosing severe dengue. The AUC for PTX-3 was not statistically significant. VEGF may be used in combination with other clinical parameters to predict the severity of the disease. As a single biomarker, it may be used as an adjunct investigation to support the diagnosis of severe dengue. PTX-3 was not able to differentiate severe dengue from non-severe dengue. |
| first_indexed | 2025-11-15T11:57:56Z |
| format | Article |
| id | upm-74246 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:57:56Z |
| publishDate | 2018 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-742462021-06-21T06:03:49Z http://psasir.upm.edu.my/id/eprint/74246/ The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue Kim, Gary Kuan Low Gan, Seng-Chiew Zainal, Norsafina Naidu, Komala Devi Amin Nordin, Syafinaz Ching, Soong Khoo Ridzuan, Mohd Isa Mohd Said, Rosaida Mohd Mansor, Melor Zailani, Mohd Hanif Hui, Yee Chee Lim, Sheng Jye Suppiah, Jeyanthi Appu, Santhi Ismail, Izani Zin, Thaw Te, Kian Keong Mohd Hatta, Nadia This study aimed to evaluate vascular endothelial growth factor (VEGF) and pentraxin 3 (PTX-3) as predictive and diagnostic markers in differentiating severe dengue from non-severe dengue. The study was conducted in Ampang Health Clinic, Ampang Hospital and Serdang Hospital. The plasma levels of VEGF and PTX-3 were compared between severe dengue and non-severe dengue by ELISA from the day of presentation until discharged. Multiple logistic regression was used to develop predictive and diagnostic models by incorporating other clinical parameters. The receiver operating characteristics (ROC) analysis was used to assess the accuracy of the biomarkers and the developed models. Eighty-two patients were recruited, 29 with severe dengue and four died. The Area Under the Curve (AUC) was statistically significant in VEGF as diagnostic marker at Day 2 and 3 of illness with sensitivity of 80.00%-100.00% and specificity of 76.47%-80.00%. The predictive model with AUC of 0.84 (p < 0.01) has a sensitivity of 100.00% and specificity of 79.25% for predicting severe dengue. The diagnostic model with AUC of 0.71 (p < 0.01) has a sensitivity of 76.19% and specificity of 73.58% for diagnosing severe dengue. The AUC for PTX-3 was not statistically significant. VEGF may be used in combination with other clinical parameters to predict the severity of the disease. As a single biomarker, it may be used as an adjunct investigation to support the diagnosis of severe dengue. PTX-3 was not able to differentiate severe dengue from non-severe dengue. Taylor and Francis 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/74246/1/DENGUE.pdf Kim, Gary Kuan Low and Gan, Seng-Chiew and Zainal, Norsafina and Naidu, Komala Devi and Amin Nordin, Syafinaz and Ching, Soong Khoo and Ridzuan, Mohd Isa and Mohd Said, Rosaida and Mohd Mansor, Melor and Zailani, Mohd Hanif and Hui, Yee Chee and Lim, Sheng Jye and Suppiah, Jeyanthi and Appu, Santhi and Ismail, Izani and Zin, Thaw and Te, Kian Keong and Mohd Hatta, Nadia (2018) The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue. Pathogens and Global Health, 112 (6). 334 - 341. ISSN 2047-7724; ESSN: 2047-7732 https://www.tandfonline.com/doi/abs/10.1080/20477724.2018.1516417?journalCode=ypgh20 10.1080/20477724.2018.1516417 |
| spellingShingle | Kim, Gary Kuan Low Gan, Seng-Chiew Zainal, Norsafina Naidu, Komala Devi Amin Nordin, Syafinaz Ching, Soong Khoo Ridzuan, Mohd Isa Mohd Said, Rosaida Mohd Mansor, Melor Zailani, Mohd Hanif Hui, Yee Chee Lim, Sheng Jye Suppiah, Jeyanthi Appu, Santhi Ismail, Izani Zin, Thaw Te, Kian Keong Mohd Hatta, Nadia The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title_full | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title_fullStr | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title_full_unstemmed | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title_short | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| title_sort | predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| url | http://psasir.upm.edu.my/id/eprint/74246/ http://psasir.upm.edu.my/id/eprint/74246/ http://psasir.upm.edu.my/id/eprint/74246/ http://psasir.upm.edu.my/id/eprint/74246/1/DENGUE.pdf |