Target Product Profile for a Diagnostic Assay to Differentiate between Bacterial and Non-Bacterial Infections and Reduce Antimicrobial Overuse in Resource-Limited Settings: An Expert Consensus

Acute fever is one of the most common presenting symptoms globally. In order to reduce the empiric use of antimicrobial drugs and improve outcomes, it is essential to improve diagnostic capabilities. In the absence of microbiology facilities in low-income settings, an assay to distinguish bacterial from non-bacterial causes would be a critical first step. To ensure that patient and market needs are met, the requirements of such a test should be specified in a target product profile (TPP). To identify minimal/optimal characteristics for a bacterial vs. non-bacterial fever test, experts from academia and international organizations with expertise in infectious diseases, diagnostic test development, laboratory medicine, global health, and health economics were convened. Proposed TPPs were reviewed by this working group, and consensus characteristics were defined. The working group defined non-severely ill, non-malaria infected children as the target population for the desired assay. To provide access to the most patients, the test should be deployable to community health centers and informal health settings, and staff should require <2 days of training to perform the assay. Further, given that the aim is to reduce inappropriate antimicrobial use as well as to deliver appropriate treatment for patients with bacterial infections, the group agreed on minimal diagnostic performance requirements of >90% and >80% for sensitivity and specificity, respectively. Other key characteristics, to account for the challenging environment at which the test is targeted, included: i) time-to-result <10 min (but maximally <2 hrs); ii) storage conditions at 0–40°C, ≤90% non-condensing humidity with a minimal shelf life of 12 months; iii) operational conditions of 5–40°C, ≤90% non-condensing humidity; and iv) minimal sample collection needs (50–100μL, capillary blood). This expert approach to define assay requirements for a bacterial vs. non-bacterial assay should guide product development, and enable targeted and timely efforts by industry partners and academic institutions.

[1]  J. Crump,et al.  Community prevalence of fever and relationship with malaria among infants and children in low-resource areas. , 2015, The American journal of tropical medicine and hygiene.

[2]  Q. Bassat,et al.  Procalcitonin and C-Reactive Protein for Invasive Bacterial Pneumonia Diagnosis among Children in Mozambique, a Malaria-Endemic Area , 2010, PloS one.

[3]  Heather Burke,et al.  The Burden of Common Infectious Disease Syndromes at the Clinic and Household Level from Population-Based Surveillance in Rural and Urban Kenya , 2011, PloS one.

[4]  Q. Bassat,et al.  Procalcitonin and C‐reactive protein as predictors of blood culture positivity among hospitalised children with severe pneumonia in Mozambique , 2012, Tropical medicine & international health : TM & IH.

[5]  F. Tubach,et al.  Procalcitonin to Guide Initiation and Duration of Antibiotic Treatment in Acute Respiratory Infections: An Individual Patient Data Meta-Analysis , 2012, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[6]  Anne-Laure Page,et al.  Diagnostic and Prognostic Value of Procalcitonin and C-Reactive Protein in Malnourished Children , 2014, Pediatrics.

[7]  A. J. Kapasi,et al.  Host Biomarkers for Distinguishing Bacterial from Non-Bacterial Causes of Acute Febrile Illness: A Comprehensive Review , 2016, PloS one.

[8]  S. Manzano,et al.  Impact of procalcitonin on the management of children aged 1 to 36 months presenting with fever without source: a randomized controlled trial. , 2010, The American journal of emergency medicine.

[9]  Jacqueline C. Linnes,et al.  Enabling the Development and Deployment of Next Generation Point-of-Care Diagnostics , 2015, PLoS neglected tropical diseases.

[10]  D. Streiner,et al.  Biomarkers of Host Response Predict Primary End-Point Radiological Pneumonia in Tanzanian Children with Clinical Pneumonia: A Prospective Cohort Study , 2015, PloS one.

[11]  F. Chappuis,et al.  Rapid diagnostic tests for non-malarial febrile illness in the tropics. , 2013, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[12]  John A. Bartlett,et al.  Etiology of Severe Non-malaria Febrile Illness in Northern Tanzania: A Prospective Cohort Study , 2013, PLoS neglected tropical diseases.

[13]  D. Mant,et al.  Diagnostic value of laboratory tests in identifying serious infections in febrile children: systematic review , 2011, BMJ : British Medical Journal.

[14]  D. Kwiatkowski,et al.  Spread of artemisinin resistance in Plasmodium falciparum malaria. , 2014, The New England journal of medicine.

[15]  F. Chappuis,et al.  Rapid diagnostic tests for a coordinated approach to fever syndromes in low-resource settings. , 2012, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[16]  Valérie D'Acremont,et al.  Beyond malaria--causes of fever in outpatient Tanzanian children. , 2014, The New England journal of medicine.

[17]  V. Patel,et al.  Assuring health coverage for all in India , 2015, The Lancet.

[18]  A. Ghani,et al.  Expanding the role of diagnostic and prognostic tools for infectious diseases in resource-poor settings , 2015, Nature.

[19]  X. de Lamballerie,et al.  Causes of non-malarial fever in Laos: a prospective study , 2013, The Lancet. Global health.

[20]  Yee-Wei Lim,et al.  Reducing the global burden of acute lower respiratory infections in children: the contribution of new diagnostics , 2006, Nature.

[21]  John M. Miller,et al.  Antibiotic prescribing practices for patients with fever in the transition from presumptive treatment of malaria to ‘confirm and treat’ in Zambia: a cross‐sectional study , 2015, Tropical medicine & international health : TM & IH.

[22]  Cathy A Petti,et al.  Laboratory medicine in Africa: a barrier to effective health care. , 2006, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[23]  H. Wertheim,et al.  Point-of-care C-reactive protein testing to reduce inappropriate use of antibiotics for non-severe acute respiratory infections in Vietnamese primary health care: a randomised controlled trial , 2016, The Lancet. Global health.

[24]  William F. Hughes,et al.  Manson's Tropical Diseases , 1914, The Indian Medical Gazette.

[25]  P. Newton,et al.  Performance of C-reactive protein and procalcitonin to distinguish viral from bacterial and malarial causes of fever in Southeast Asia , 2015, BMC Infectious Diseases.

[26]  M. Coulthard,et al.  Home collection of urine for culture from infants by three methods: survey of parents' preferences and bacterial contamination rates , 2000, BMJ : British Medical Journal.

[27]  Luke S P Moore,et al.  Antimicrobials: access and sustainable eff ectiveness 2 Understanding the mechanisms and drivers of antimicrobial resistance , 2015 .

[28]  P. Newton,et al.  Evaluation of a Simple Blood Culture Amplification and Antigen Detection Method for Diagnosis of Salmonella enterica Serovar Typhi Bacteremia , 2012, Journal of Clinical Microbiology.

[29]  Lenna Smith,et al.  Laboratory Biosafety Manual, J.E.M. Whitehead (Ed.). World Health Organisation, Geneva (1983), (Aust. Distr. Australian Publishing Service. Canberra) ISBN 92 4 154167 9, pp. 123. Sw.fr. 14 , 1984 .

[30]  M. Perkins,et al.  The Case for Improved Diagnostic Tools to Control Ebola Virus Disease in West Africa and How to Get There , 2015, PLoS neglected tropical diseases.

[31]  J. Cunningham,et al.  Rapid diagnostic tests for malaria , 2015, Bulletin of the World Health Organization.

[32]  R. Hopstaken,et al.  C-reactive protein point-of-care testing and antibiotic prescribing for acute respiratory tract infections in rural primary health centres of North Ethiopia: a cross-sectional study , 2016, npj Primary Care Respiratory Medicine.

[33]  P. Siba,et al.  Use of Antibiotics within the IMCI Guidelines in Outpatient Settings in Papua New Guinean Children: An Observational and Effectiveness Study , 2014, PloS one.

[34]  Stephen P. Luby,et al.  Estimating the Incidence of Typhoid Fever and Other Febrile Illnesses in Developing Countries , 2003, Emerging infectious diseases.

[35]  P. Magnussen,et al.  Antibiotic use among patients with febrile illness in a low malaria endemicity setting in Uganda , 2011, Malaria Journal.

[36]  S. Esposito,et al.  Procalcitonin measurements for guiding antibiotic treatment in pediatric pneumonia. , 2011, Respiratory medicine.

[37]  P. Gething,et al.  Estimating the Number of Paediatric Fevers Associated with Malaria Infection Presenting to Africa's Public Health Sector in 2007 , 2010, PLoS medicine.

[38]  Clotilde Rambaud-Althaus,et al.  New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania , 2015, PloS one.

[39]  P. Newton,et al.  Defining Disease Heterogeneity to Guide the Empirical Treatment of Febrile Illness in Resource Poor Settings , 2012, PloS one.

[40]  P. Newton,et al.  Modelling the Impact and Cost-Effectiveness of Biomarker Tests as Compared with Pathogen-Specific Diagnostics in the Management of Undifferentiated Fever in Remote Tropical Settings , 2016, PloS one.

[41]  P. Manson-Bahr,et al.  Manson's Tropical Diseases , 1929 .