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Observational Study
. 2025 Mar 22;405(10483):991-1003.
doi: 10.1016/S0140-6736(25)00263-6. Epub 2025 Mar 10.

A multifaceted intervention to improve diagnosis and early management of hospitalised patients with suspected acute brain infections in Brazil, India, and Malawi: an international multicentre intervention study

Collaborators, Affiliations
Observational Study

A multifaceted intervention to improve diagnosis and early management of hospitalised patients with suspected acute brain infections in Brazil, India, and Malawi: an international multicentre intervention study

Bhagteshwar Singh et al. Lancet. .

Abstract

Background: Brain infections pose substantial challenges in diagnosis and management and carry high mortality and morbidity, especially in low-income and middle-income countries. We aimed to improve the diagnosis and early management of patients admitted to hospital (adults aged 16 years and older and children aged >28 days) with suspected acute brain infections at 13 hospitals in Brazil, India, and Malawi.

Methods: With hospital stakeholders, policy makers, and patient and public representatives, we co-designed a multifaceted clinical and laboratory intervention, informed by an evaluation of routine practice. The intervention, tailored for each setting, included a diagnostic and management algorithm, a lumbar puncture pack, a testing panel, and staff training. We used multivariable logistic regression and interrupted time series analysis to compare the coprimary outcomes-the percentage of patients achieving a syndromic diagnosis and the percentage achieving a microbiological diagnosis before and after the intervention. The study was registered at ClinicalTrials.gov (NCT04190303) and is complete.

Findings: Between Jan 5, 2021, and Nov 30, 2022, we screened 10 462 patients and enrolled a total of 2233 patients at 13 hospital sites connected to the four study centres in Brazil, India, and Malawi. 1376 (62%) were recruited before the intervention and 857 (38%) were recruited after the intervention. 2154 patients (96%) had assessment of the primary outcome (1330 [62%] patients recruited pre-intervention and 824 [38%] recruited post-intervention). The median age across centres was 23 years (IQR 6-44), with 1276 (59%) being adults aged 16 years or older and 888 (41%) children aged between 29 days and 15 years; 1264 (59%) patients were male and 890 (41%) were female. Data on race and ethnicity were not recorded. 1020 (77%) of 1320 patients received a syndromic diagnosis before the intervention, rising to 701 (86%) of 813 after the intervention (adjusted odds ratio [aOR] 1·81 [95% CI 1·40-2·34]; p<0·0001). A microbiological diagnosis was made in 294 (22%) of 1330 patients pre-intervention, increasing to 250 (30%) of 824 patients post-intervention (aOR 1·46 [95% CI 1·18-1·79]; p=0·00040). Interrupted time series analysis confirmed that these increases exceeded a modest underlying trend of improvement over time. The percentage receiving a lumbar puncture, time to appropriate therapy, and functional outcome also improved.

Interpretation: Diagnosis and management of patients with suspected acute brain infections improved following introduction of a simple intervention package across a diverse range of hospitals on three continents. The intervention is now being implemented in other settings as part of the WHO Meningitis Roadmap and encephalitis control initiatives.

Funding: UK National Institute for Health and Care Research.

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Conflict of interest statement

Declaration of interests BS reports grant funding from the Medical Research Council ([MRC], grant MR/V033441/1), which also supported GDL, PT, CAAdB, GM, TJP, RR, IS, AE, VM, GB, JC, RFdOF, PR, and TS. LT reports grant funding from MRC, the UK Coronavirus Immunology Consortium, the UK National Institute for Health and Care Research (NIHR), the Wellcome Trust, the US Food and Drug Administration, and UK Department of Health and Social Care; consulting fees paid to his institution by the Medicines and Healthcare products Regulatory Agency (MHRA), AstraZeneca, and Synairgen; speaker fees paid to his institution by Eisai; and has a patent filed on a Zika vaccine (GB2318495·5). AE is the Chief Executive of Encephalitis International, reports royalties from her book Life After Encephalitis (Routledge Psychology Press, London, UK), and consults on infectious diseases for the Wellcome Trust. RJL reports grant funding from NIHR (Applied Research Collaboration West Midlands). BDM reports speaker fees from University of Massachusetts (Boston, MA, USA) and Beth Israel Deaconess Medical Center (Boston, MA, USA), and payment for medicolegal expert work. CMP reports grant funding from the Joint Global Health Trials Scheme (MR/TOO5033/1). TS reports grant funding from NIHR (IS-HPU-1112-10117); royalties from Oxford University Press, Elsevier, Liverpool University Press, and Cambridge University Press; consulting fees from GSK, Siemens, and the MHRA; and has a patent filed for a test for bacterial meningitis (GB1606537.7). JJS reports support for travel from WHO. MJG reports honoraria and support for conference attendance and speaker fees paid to his institution by Siemens Healthineers; a patent for a novel test for bacterial meningitis; grant income from an MRC DPFS research award; and collaboration with MedTechtoMarket as part of the MRC Developmental Pathway Funding Scheme award. All other authors declare no competing interests.

Figures

Figure 1
Figure 1. Study profile
*A further ten patients who were enrolled pre-intervention and 11 patients who were enrolled post-intervention had inadequate data for assessment of syndromic diagnosis, resulting in 1320 pre-intervention patients and 813 post-intervention patients being included in the analysis for that outcome.
Figure 2
Figure 2. Achievement of the co-primary outcomes of syndromic diagnosis and microbiological diagnosis
(A) Percentage of patients achieving a syndromic diagnosis, per month, pooled across all centres. (B) Percentage of patients achieving a microbiological diagnosis, per month, pooled across all centres. Dots represent percentages of patients achieving a diagnosis in each month of recruitment. The blue line represents the observed trend across these points. The shaded blue around this line represents the 95% CI around these percentages. The dashed red line represents the counterfactual situation: a predicted trend assuming no intervention was delivered, based on pre-intervention data. The shaded red around this line represents the 95% CI around these percentages. The vertical dashed black line represents the timepoint at which the intervention was implemented.

Comment in

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