The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar
Objectives: To determine the comparative prognostic utility of commonly used disease prediction scores in adults with presumed community-acquired sepsis in a resource-limited tropical setting. Methods: This prospective, observational study was performed on the medical ward of a tertiary-referral hos...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | International Journal of Infectious Diseases |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971221000588 |
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| author | Mar Mar Minn Ne Myo Aung De Zin Kyaw Thet Tun Zaw Pyae Nyein Chann Hnin Ei Khine Steven McLoughlin Anthony D. Kelleher Ne Lin Tun Thin Zar Cho Oo Nan Phyu Sin Toe Myint Matthew Law Mar Mar Kyi Josh Hanson |
| author_facet | Mar Mar Minn Ne Myo Aung De Zin Kyaw Thet Tun Zaw Pyae Nyein Chann Hnin Ei Khine Steven McLoughlin Anthony D. Kelleher Ne Lin Tun Thin Zar Cho Oo Nan Phyu Sin Toe Myint Matthew Law Mar Mar Kyi Josh Hanson |
| author_sort | Mar Mar Minn |
| collection | DOAJ |
| description | Objectives: To determine the comparative prognostic utility of commonly used disease prediction scores in adults with presumed community-acquired sepsis in a resource-limited tropical setting. Methods: This prospective, observational study was performed on the medical ward of a tertiary-referral hospital in Yangon, Myanmar. The ability of the National Early Warning Score 2 (NEWS2), quick NEWS (qNEWS), quick Sequential Organ Failure Assessment (qSOFA) score, Universal Vital Assessment (UVA) and Sequential Organ Failure Assessment (SOFA) scores to predict a complicated inpatient course (death or requirement for intensive care unit (ICU) support) in patients with two or more systemic inflammatory response syndrome criteria was determined. Results: Among the 509 patients, 30 (6%) were HIV-seropositive. The most commonly confirmed diagnoses were tuberculosis (30/509, 5.9%) and measles (26/509, 5.1%). Overall, 75/509 (14.7%) died or required ICU support. All the scores except the qSOFA score, which was inferior, had a similar ability to predict a complicated inpatient course. Conclusions: In this resource-limited tropical setting, disease severity scores calculated at presentation using only vital signs–such as the NEWS2 score–identified high-risk sepsis patient as well as the SOFA score, which is calculated at 24 h and which also requires laboratory data. Use of these simple clinical scores can be used to facilitate recognition of the high-risk patient and to optimise the use of finite resources. |
| first_indexed | 2024-12-17T23:53:26Z |
| format | Article |
| id | doaj.art-fbdc094960e349bb98f650cab235b47a |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-17T23:53:26Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-fbdc094960e349bb98f650cab235b47a2022-12-21T21:28:09ZengElsevierInternational Journal of Infectious Diseases1201-97122021-03-01104543550The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, MyanmarMar Mar Minn0Ne Myo Aung1De Zin Kyaw2Thet Tun Zaw3Pyae Nyein Chann4Hnin Ei Khine5Steven McLoughlin6Anthony D. Kelleher7Ne Lin Tun8Thin Zar Cho Oo9Nan Phyu Sin Toe Myint10Matthew Law11Mar Mar Kyi12Josh Hanson13Insein General Hospital, Insein Township, Yangon, MyanmarInsein General Hospital, Insein Township, Yangon, Myanmar; University of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarMyanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarMyanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarMyanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarMyanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarThe Alfred Hospital, Melbourne, AustraliaThe Kirby Institute, University of New South Wales, Sydney, AustraliaInsein General Hospital, Insein Township, Yangon, Myanmar; University of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarInsein General Hospital, Insein Township, Yangon, Myanmar; University of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarInsein General Hospital, Insein Township, Yangon, Myanmar; University of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarThe Kirby Institute, University of New South Wales, Sydney, AustraliaInsein General Hospital, Insein Township, Yangon, Myanmar; University of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, MyanmarUniversity of Medicine 2, North Okkalapa Township, Yangon, Myanmar; Myanmar Australia Research Collaboration for Health (MARCH), Yangon, Myanmar; The Kirby Institute, University of New South Wales, Sydney, Australia; Corresponding author at: The Kirby Institute, University of New South Wales, Sydney, Australia.Objectives: To determine the comparative prognostic utility of commonly used disease prediction scores in adults with presumed community-acquired sepsis in a resource-limited tropical setting. Methods: This prospective, observational study was performed on the medical ward of a tertiary-referral hospital in Yangon, Myanmar. The ability of the National Early Warning Score 2 (NEWS2), quick NEWS (qNEWS), quick Sequential Organ Failure Assessment (qSOFA) score, Universal Vital Assessment (UVA) and Sequential Organ Failure Assessment (SOFA) scores to predict a complicated inpatient course (death or requirement for intensive care unit (ICU) support) in patients with two or more systemic inflammatory response syndrome criteria was determined. Results: Among the 509 patients, 30 (6%) were HIV-seropositive. The most commonly confirmed diagnoses were tuberculosis (30/509, 5.9%) and measles (26/509, 5.1%). Overall, 75/509 (14.7%) died or required ICU support. All the scores except the qSOFA score, which was inferior, had a similar ability to predict a complicated inpatient course. Conclusions: In this resource-limited tropical setting, disease severity scores calculated at presentation using only vital signs–such as the NEWS2 score–identified high-risk sepsis patient as well as the SOFA score, which is calculated at 24 h and which also requires laboratory data. Use of these simple clinical scores can be used to facilitate recognition of the high-risk patient and to optimise the use of finite resources.http://www.sciencedirect.com/science/article/pii/S1201971221000588SepsisClinical managementTropical medicineMyanmarInfectious diseasesPrediction scores |
| spellingShingle | Mar Mar Minn Ne Myo Aung De Zin Kyaw Thet Tun Zaw Pyae Nyein Chann Hnin Ei Khine Steven McLoughlin Anthony D. Kelleher Ne Lin Tun Thin Zar Cho Oo Nan Phyu Sin Toe Myint Matthew Law Mar Mar Kyi Josh Hanson The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar International Journal of Infectious Diseases Sepsis Clinical management Tropical medicine Myanmar Infectious diseases Prediction scores |
| title | The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar |
| title_full | The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar |
| title_fullStr | The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar |
| title_full_unstemmed | The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar |
| title_short | The comparative ability of commonly used disease severity scores to predict death or a requirement for ICU care in patients hospitalised with possible sepsis in Yangon, Myanmar |
| title_sort | comparative ability of commonly used disease severity scores to predict death or a requirement for icu care in patients hospitalised with possible sepsis in yangon myanmar |
| topic | Sepsis Clinical management Tropical medicine Myanmar Infectious diseases Prediction scores |
| url | http://www.sciencedirect.com/science/article/pii/S1201971221000588 |
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