Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Mar 9;16(1):37.
doi: 10.1186/s12916-018-1014-x.

Lactate clearance as a prognostic marker of mortality in severely ill febrile children in East Africa

Affiliations

Lactate clearance as a prognostic marker of mortality in severely ill febrile children in East Africa

A Aramburo et al. BMC Med. .

Abstract

Background: Hyperlactataemia (HL) is a biomarker of disease severity that predicts mortality in patients with sepsis and malaria. Lactate clearance (LC) during resuscitation has been shown to be a prognostic factor of survival in critically ill adults, but little data exist for African children living in malaria-endemic areas.

Methods: In a secondary data analysis of severely ill febrile children included in the Fluid Expansion as Supportive Therapy (FEAST) resuscitation trial, we assessed the association between lactate levels at admission and LC at 8 h with all-cause mortality at 72 h (d72). LC was defined as a relative lactate decline ≥ 40% and/or lactate normalisation (lactate < 2.5 mmol/L).

Results: Of 3170 children in the FEAST trial, including 1719 children (57%) with Plasmodium falciparum malaria, 3008 (95%) had a baseline lactate measurement, 2127 (71%) had HL (lactate ≥ 2.5 mmol/L), and 1179 (39%) had severe HL (≥ 5 mmol/L). Within 72 h, 309 children (10.3%) died, of whom 284 (92%) had baseline HL. After adjustment for potential confounders, severe HL was strongly associated with mortality (Odds Ratio (OR) 6.96; 95% CI 3.52, 13.76, p < 0.001). This association was not modified by malaria status, despite children with malaria having a higher baseline lactate (median 4.6 mmol/L vs 3 mmol/L; p < 0.001) and a lower mortality rate (OR = 0.42; p < 0.001) compared to non-malarial cases. Sensitivity and specificity analysis identified a higher lactate on admission cut-off value predictive of d72 for children with malaria (5.2 mmol/L) than for those with other febrile illnesses (3.4 mmol/L). At 8 h, 2748/3008 survivors (91%) had a lactate measured, 1906 (63%) of whom had HL on admission, of whom 1014 (53%) fulfilled pre-defined LC criteria. After adjustment for confounders, LC independently predicted survival after 8 h (OR 0.24; 95% CI 0.14, 0.42; p < 0.001). Absence of LC (< 10%) at 8 h was strongly associated with death at 72 h (OR 4.62; 95% CI 2.7, 8.0; p < 0.001).

Conclusions: Independently of the underlying diagnosis, HL is a strong risk factor for death at 72 h in children admitted with severe febrile illnesses in Africa. Children able to clear lactate within 8 h had an improved chance of survival. These findings prompt the more widespread use of lactate and LC to identify children with severe disease and monitor response to treatment.

Trial registration: ISRCTN69856593 Registered 21 January 2009.

Keywords: Children; Clinical trials; East Africa; Hospital admission; Hyperlactataemia; Lactate clearance; Malaria; Mortality; Randomised; Sepsis.

PubMed Disclaimer

Conflict of interest statement

Ethics approval and consent to participate

The ethics committees at Imperial College (London, UK), Makerere University (Kampala, Uganda), the Medical Research Institute (Kenya), and the National Medical Research Institute (Tanzania) approved the trial protocol.

Informed, written consent was obtained from parents/guardians of the research participants prior to enrolment in the study.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
ROC curve for mortality at 72 h of randomisation based on lactate measurement at admission by malaria: 0 = no malaria and 1 = malaria
Fig. 2
Fig. 2
ROC curve for mortality at 72 h of randomisation based on logistic regression model for lactate clearance (LC) at 8 h. LC was defined as a relative LC ≥ 40% and/or lactate normalisation (lactate < 2.5 mmol/L) within the first 8 h of treatment

References

    1. CHERG-WHO methods and data sources for child causes of death 2000–2013. Global Health Observatory data. http://www.who.int/gho/child_health/mortality/causes/en. Accessed 1 Oct 2017.
    1. Molyneux E. Paediatric emergency care in developing countries. Lancet. 2001;357:86–87. doi: 10.1016/S0140-6736(00)03536-4. - DOI - PubMed
    1. Molyneux E, Ahmad S, Robertson A. Improved triage and emergency care for children reduces inpatient mortality in a resource-constrained setting. Bull World Health Organ. 2006;84:314–319. doi: 10.2471/BLT.04.019505. - DOI - PMC - PubMed
    1. World Health Organization . Pocket book of hospital care for children. 2nd edition. Guidelines for the management of common childhood illnesses. Geneva: World Health Oganization; 2013. - PubMed
    1. George EC, Walker AS, Kiguli S, Olupot-Olupot P, Opoka RO, Engoru C, Akech SO, Nyeko R, Mtove G, Reyburn H, Berkley JA, Mpoya A, Levin M, Crawley J, Gibb DM, Maitland K, Babiker AG. Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score. BMC Med. 2015;13:174. doi: 10.1186/s12916-015-0407-3. - DOI - PMC - PubMed

Publication types