A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): A randomized, controlled non-inferiority trial

• Published in: PLoS medicine Vol. 14; no. 10; p. e1002411
• Main Authors: Keitel, Kristina, Kagoro, Frank, Samaka, Josephine, Masimba, John, Said, Zamzam, Temba, Hosiana, Mlaganile, Tarsis, Sangu, Willy, Rambaud-Althaus, Clotilde, Gervaix, Alain, Genton, Blaise, D’Acremont, Valérie
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.10.2017; Public Library of Science (PLoS)
• Subjects: Age of Onset; Algorithms; Ambulatory care; Analysis; Anemia; Anti-Bacterial Agents - therapeutic use; Antibiotics; Antimicrobial agents; Biology and Life Sciences; Biomarkers - blood; C-reactive protein; Care and treatment; Case management; Child, Preschool; Children; Children & youth; Clinical Decision-Making; Clinical outcomes; Communicable Diseases - diagnosis; Communicable Diseases - drug therapy; Communicable Diseases - mortality; Communicable Diseases - physiopathology; Consultation; Control algorithms; Decision Support Techniques; Diagnosis, Computer-Assisted - instrumentation; Diagnosis, Differential; Disease management; Failure; Female; Fever - diagnosis; Fever - drug therapy; Fever - mortality; Fever - physiopathology; Funding; Heart Rate; Hemoglobin; Hospitals; Humans; Infant; Infections; Malaria; Male; Management tools; Medical tests; Medicine; Medicine and Health Sciences; Mobile Applications; Mortality; Nutritional Status; Patient Readmission; Patient Selection; Pediatric diseases; Pneumonia; Point of care testing; Point-of-Care Systems; Predictive Value of Tests; Prescriptions; Procalcitonin; Proteins; Public health; Randomization; Reproducibility of Results; Respiration; Risk Factors; Severity of Illness Index; Smartphone; Supervision; Tanzania; Treatment outcome; Vector-borne diseases; Tanzania; Switzerland
• ISSN: 1549-1676; 1549-1277; 1549-1676
• DOI: 10.1371/journal.pmed.1002411

The management of childhood infections remains inadequate in resource-limited countries, resulting in high mortality and irrational use of antimicrobials. Current disease management tools, such as the Integrated Management of Childhood Illness (IMCI) algorithm, rely solely on clinical signs and have not made use of available point-of-care tests (POCTs) that can help to identify children with severe infections and children in need of antibiotic treatment. e-POCT is a novel electronic algorithm based on current evidence; it guides clinicians through the entire consultation and recommends treatment based on a few clinical signs and POCT results, some performed in all patients (malaria rapid diagnostic test, hemoglobin, oximeter) and others in selected subgroups only (C-reactive protein, procalcitonin, glucometer). The objective of this trial was to determine whether the clinical outcome of febrile children managed by the e-POCT tool was non-inferior to that of febrile children managed by a validated electronic algorithm derived from IMCI (ALMANACH), while reducing the proportion with antibiotic prescription. We performed a randomized (at patient level, blocks of 4), controlled non-inferiority study among children aged 2-59 months presenting with acute febrile illness to 9 outpatient clinics in Dar es Salaam, Tanzania. In parallel, routine care was documented in 2 health centers. The primary outcome was the proportion of clinical failures (development of severe symptoms, clinical pneumonia on/after day 3, or persistent symptoms at day 7) by day 7 of follow-up. Non-inferiority would be declared if the proportion of clinical failures with e-POCT was no worse than the proportion of clinical failures with ALMANACH, within statistical variability, by a margin of 3%. The secondary outcomes included the proportion with antibiotics prescribed on day 0, primary referrals, and severe adverse events by day 30 (secondary hospitalizations and deaths). We enrolled 3,192 patients between December 2014 and February 2016 into the randomized study; 3,169 patients (e-POCT: 1,586; control [ALMANACH]: 1,583) completed the intervention and day 7 follow-up. Using e-POCT, in the per-protocol population, the absolute proportion of clinical failures was 2.3% (37/1,586), as compared with 4.1% (65/1,583) in the ALMANACH arm (risk difference of clinical failure -1.7, 95% CI -3.0, -0.5), meeting the prespecified criterion for non-inferiority. In a non-prespecified superiority analysis, we observed a 43% reduction in the relative risk of clinical failure when using e-POCT compared to ALMANACH (risk ratio [RR] 0.57, 95% CI 0.38, 0.85, p = 0.005). The proportion of severe adverse events was 0.6% in the e-POCT arm compared with 1.5% in the ALMANACH arm (RR 0.42, 95% CI 0.20, 0.87, p = 0.02). The proportion of antibiotic prescriptions was substantially lower, 11.5% compared to 29.7% (RR 0.39, 95% CI 0.33, 0.45, p < 0.001). Using e-POCT, the most common indication for antibiotic prescription was severe disease (57%, 103/182 prescriptions), while it was non-severe respiratory infections using the control algorithm (ALMANACH) (70%, 330/470 prescriptions). The proportion of clinical failures among the 544 children in the routine care cohort was 4.6% (25/544); 94.9% (516/544) of patients received antibiotics on day 0, and 1.1% (6/544) experienced severe adverse events. e-POCT achieved a 49% reduction in the relative risk of clinical failure compared to routine care (RR 0.51, 95% CI 0.31, 0.84, p = 0.007) and lowered antibiotic prescriptions to 11.5% from 94.9% (p < 0.001). Though this safety study was an important first step to evaluate e-POCT, its true utility should be evaluated through future implementation studies since adherence to the algorithm will be an important factor in making use of e-POCT's advantages in terms of clinical outcome and antibiotic prescription. e-POCT, an innovative electronic algorithm using host biomarker POCTs, including C-reactive protein and procalcitonin, has the potential to improve the clinical outcome of children with febrile illnesses while reducing antibiotic use through improved identification of children with severe infections, and better targeting of children in need of antibiotic prescription. ClinicalTrials.gov NCT02225769.