Identifying risk factors for the development of sepsis during adult severe malaria
Abstract Background Severe falciparum malaria can be compounded by bacterial sepsis, necessitating antibiotics in addition to anti-malarial treatment. The objective of this analysis was to develop a prognostic model to identify patients admitted with severe malaria at higher risk of developing bacte...
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ftdoajarticles:oai:doaj.org/article:0212e76b53114005a70da4728c2996ba 2023-05-15T15:10:30+02:00 Identifying risk factors for the development of sepsis during adult severe malaria Tsi Njim Arjen Dondorp Mavuto Mukaka Eric O. Ohuma 2018-07-01T00:00:00Z https://doi.org/10.1186/s12936-018-2430-2 https://doaj.org/article/0212e76b53114005a70da4728c2996ba EN eng BMC http://link.springer.com/article/10.1186/s12936-018-2430-2 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-018-2430-2 1475-2875 https://doaj.org/article/0212e76b53114005a70da4728c2996ba Malaria Journal, Vol 17, Iss 1, Pp 1-10 (2018) Severe malaria Sepsis Prognostic model Nomogram Southeast Asia Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2018 ftdoajarticles https://doi.org/10.1186/s12936-018-2430-2 2022-12-31T03:25:01Z Abstract Background Severe falciparum malaria can be compounded by bacterial sepsis, necessitating antibiotics in addition to anti-malarial treatment. The objective of this analysis was to develop a prognostic model to identify patients admitted with severe malaria at higher risk of developing bacterial sepsis. Methods A retrospective data analysis using trial data from the South East Asian Quinine Artesunate Malaria Trial. Variables correlating with development of clinically defined sepsis were identified by univariable analysis, and subsequently included into a multivariable logistic regression model. Internal validation was performed by bootstrapping. Discrimination and goodness-of-fit were assessed using the area under the curve (AUC) and a calibration plot, respectively. Results Of the 1187 adults with severe malaria, 86 (7.3%) developed clinical sepsis during admission. Predictors for developing sepsis were: female sex, high blood urea nitrogen, high plasma anion gap, respiratory distress, shock on admission, high parasitaemia, coma and jaundice. The AUC of the model was 0.789, signifying modest differentiation for identifying patients developing sepsis. The model was well-calibrated (Hosmer–Lemeshow Chi squared = 1.02). The 25th percentile of the distribution of risk scores among those who developed sepsis could identify a high-risk group with a sensitivity and specificity of 70.0 and 69.4%, respectively. Conclusions The proposed model identifies patients with severe malaria at risk of developing clinical sepsis, potentially benefiting from antibiotic treatment in addition to anti-malarials. The model will need further evaluation with more strictly defined bacterial sepsis as outcome measure. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 17 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Severe malaria Sepsis Prognostic model Nomogram Southeast Asia Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Severe malaria Sepsis Prognostic model Nomogram Southeast Asia Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Tsi Njim Arjen Dondorp Mavuto Mukaka Eric O. Ohuma Identifying risk factors for the development of sepsis during adult severe malaria |
topic_facet |
Severe malaria Sepsis Prognostic model Nomogram Southeast Asia Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Severe falciparum malaria can be compounded by bacterial sepsis, necessitating antibiotics in addition to anti-malarial treatment. The objective of this analysis was to develop a prognostic model to identify patients admitted with severe malaria at higher risk of developing bacterial sepsis. Methods A retrospective data analysis using trial data from the South East Asian Quinine Artesunate Malaria Trial. Variables correlating with development of clinically defined sepsis were identified by univariable analysis, and subsequently included into a multivariable logistic regression model. Internal validation was performed by bootstrapping. Discrimination and goodness-of-fit were assessed using the area under the curve (AUC) and a calibration plot, respectively. Results Of the 1187 adults with severe malaria, 86 (7.3%) developed clinical sepsis during admission. Predictors for developing sepsis were: female sex, high blood urea nitrogen, high plasma anion gap, respiratory distress, shock on admission, high parasitaemia, coma and jaundice. The AUC of the model was 0.789, signifying modest differentiation for identifying patients developing sepsis. The model was well-calibrated (Hosmer–Lemeshow Chi squared = 1.02). The 25th percentile of the distribution of risk scores among those who developed sepsis could identify a high-risk group with a sensitivity and specificity of 70.0 and 69.4%, respectively. Conclusions The proposed model identifies patients with severe malaria at risk of developing clinical sepsis, potentially benefiting from antibiotic treatment in addition to anti-malarials. The model will need further evaluation with more strictly defined bacterial sepsis as outcome measure. |
format |
Article in Journal/Newspaper |
author |
Tsi Njim Arjen Dondorp Mavuto Mukaka Eric O. Ohuma |
author_facet |
Tsi Njim Arjen Dondorp Mavuto Mukaka Eric O. Ohuma |
author_sort |
Tsi Njim |
title |
Identifying risk factors for the development of sepsis during adult severe malaria |
title_short |
Identifying risk factors for the development of sepsis during adult severe malaria |
title_full |
Identifying risk factors for the development of sepsis during adult severe malaria |
title_fullStr |
Identifying risk factors for the development of sepsis during adult severe malaria |
title_full_unstemmed |
Identifying risk factors for the development of sepsis during adult severe malaria |
title_sort |
identifying risk factors for the development of sepsis during adult severe malaria |
publisher |
BMC |
publishDate |
2018 |
url |
https://doi.org/10.1186/s12936-018-2430-2 https://doaj.org/article/0212e76b53114005a70da4728c2996ba |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 17, Iss 1, Pp 1-10 (2018) |
op_relation |
http://link.springer.com/article/10.1186/s12936-018-2430-2 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-018-2430-2 1475-2875 https://doaj.org/article/0212e76b53114005a70da4728c2996ba |
op_doi |
https://doi.org/10.1186/s12936-018-2430-2 |
container_title |
Malaria Journal |
container_volume |
17 |
container_issue |
1 |
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1766341525324693504 |