Optimizing Sysmex Technology as an Innovative Tool to Differentiate Between Malaria (PALUdism) and BACterial Infections in a Malaria Endemic Region (PALUBAC)

July 19, 2017 updated by: Sysmex Europe GmbH
Severe malaria and bacterial Blood Stream Infections (bBSI) are impossible to differentiate clinically. This poses a particular threat in low resource areas, where bBSI is often not diagnosed due to the unavailability of rapid diagnostic means. Even if used appropriately, the sensitivity of blood culture to diagnose bBSI is estimated to be around 50%. To counter the high mortality rate associated with bBSI, antibiotics are often prescribed without microbiological confirmation. Sysmex Company has developed technology that enables the rapid diagnosis of malaria using a venous blood sample. In addition algorithms based on hematological parameters can be used to monitor disease severity and progression, as well as guide further diagnostic testing based on differences seen in these parameters between various types of disease. The algorithms have been developed and tested in adult populations from different industrialized countries and in one Asian population. However no data are available neither from pediatric patients, nor from the sub-Saharan setting where the epidemiology of infectious diseases is very different from the tested settings. The objective of the study is to: 1) Assess the sensitivity and specificity of the Sysmex hematology analyzer based on the new technology to diagnose malaria in subjects older than 3 months, who present with an acute severe febrile illness in a malaria endemic area in sub-Saharan Africa 2) Test and optimize the value of Sysmex analyzers in disease diagnosis and monitoring in children older than 5 years and adults, who present with an acute severe febrile illness in a malaria endemic region in sub-Saharan Africa, to differentiate between severe malaria and bBSI, or a combination of these infections. 3) Explore the value of Sysmex analyzers in disease diagnosis and monitoring in children between 3 months and 5 years of age, who present with an acute severe febrile illness in a malaria endemic region in sub-Saharan Africa.

Study Overview

Status

Completed

Detailed Description

Analytical plan

Sysmex will be blinded to:

  • All clinical data except age and gender of the participant
  • All laboratory and imaging data that is not obtained by the XN-analyzers.

The clinical study team will be blinded to:

- Data from the XN-analyzers, excepting the currently validated data that is used for routine patient care (e.g. total blood count, white blood differentiation)

Two researchers from Sysmex and two researchers from the study team will use the data available to them (i.e. the data to which they are not blinded) to categorize each patient according to the following categories (independently from each other) using the predefined case definitions as mentioned above.

  1. Confirmed malaria parasitemia
  2. Confirmed bacterial infection
  3. Confirmed viral infection
  4. Suspected malaria
  5. Suspected bacterial infection
  6. Suspected viral infection
  7. Mixed infection (specified which combination)
  8. No infection

Analysis for primary outcome measures

  1. Diagnostic sensitivity and specificity of blue laser compared to microscopy/PCR
  2. ROC curve to assess best cut-off for the blue laser based on clinical samples
  3. Linear regression analysis to compare quantification of parasitemia by blue laser to microscopy/PCR
  4. Compare performance of the blue laser to performance of RDT (in comparison to microscopy/PCR)
  5. Diagnostic sensitivity and specificity of infection manager to detect bBSI in participants of 5 years and older.
  6. Diagnostic sensitivity and specificity of the infection manager to detect bBSI combined with malaria in participants of 5 years and older.

Case definitions:

Malaria parasitemia is defined as the presence of one or more parasites in malaria microscopy or a malaria qPCR 18S result over 50 p/ml

Bacterial bloodstream infection is defined as growth of a clinically significant bacterial organism from blood culture within 5 days of incubation or a (16s) PCR result positive for a clinically significant organism

Lower respiratory tract infection: a clinical suspicion including cough and/or shortness of breath, supported by results from chest exam and chest X-ray.

Abscess: in case of superficial abscesses clinical presentation must be confirmed by pus upon drainage. In case of deep abscesses the clinical presentation must be confirmed by echography.

Meningitis: A clinical suspicion with decreased conscience and neck stiffness, confirmed by culture or agglutination performed on cerebrospinal fluid.

Pelvic inflammatory infection: Typical clinical presentation with vaginal discharge

Protrude skin infections: clinical presentation combined with a grown pathogen in skin culture or presence of pus.

Bacterial gastro-enteritis: Patients with diarrhoea and a grown pathogen from stool culture.

Urinary tract infections: Patients clinical signs of a urinary tract infection and a grown pathogen from urine culture.

Obvious causes of fever include superficial skin infection, superficial abscesses, otitis, pharyngitis and tonsillitis.

Viral infections will be diagnosed based on clinical suspicion and confirmed using PCR or serology.

Study Type

Observational

Enrollment (Actual)

930

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Nanaro, Burkina Faso, 218 Ouaga 11
        • Clinical Research Unit Nanaro

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

3 months and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients presenting at the district health center with suspicion of infectious disease. Since the amendment which passed in November 2016 this includes outpatients as well as inpatients.

Description

Inclusion Criteria:

  1. Children between ages >3 months and < 15 years old OR adults of 15 years and above
  2. AND willing and able to provide written informed consent (parent's or guardian's consent for minors). In case of very sick adults not able to give consent, sampling will be done and ICF will be asked upon his/her recovery or from his/her representative in case of death.
  3. AND presenting with one of the following:

    Recorded temperature of > 38.0°C or temperature < 35.5°C (tympanic). OR episode of fever within 48 hours prior to admission

    OR signs of severe clinical illness including one or more of the following:

    • Respiratory distress
    • Prostration
    • Altered consciousness
    • Convulsions (one or more episodes)
    • Clinical jaundice
    • Signs of shock
    • Severe malnutrition with severe anemia (hemoglobin < 5 g/dl)
  4. AND Having one of the following clinically suspected infections

    • Severe malaria
    • Invasive bacterial infection (including pneumonia, arthritis, peritonitis, meningitis or complicated urinary tract infection, typhoid fever)
    • Severe viral infection such as influenza

Exclusion Criteria:

• Fever episode for more than 7 days or no informed consent was given

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Children <15y
no intervention
Adults >=15y
no intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
• Diagnostic sensitivity and specificity of Sysmex XN blue laser for malaria parasite detection in a malaria endemic area
Time Frame: 1 year based on frozen specimens

based on microscopy of a blood smear or PCR in case of a negative smear or incongruent results. Diagnostic performance will be evaluated before and after training of the algorithm.

Malaria parasitemia is defined as the presence of one or more parasites in malaria microscopy or a malaria qPCR 18S result over 50 p/ml.

1 year based on frozen specimens
• Diagnostic sensitivity and specificity of Sysmex XN infection manager for diagnosing bacterial bloodstream infection (bBSI) and mixed malaria/bBSI in a malaria endemic area in participants of 5 years and older
Time Frame: 1 year based on frozen specimens

Diagnostic performance will be evaluated before and after training of the algorithm.

Malaria parasitemia is defined as the presence of one or more parasites in malaria microscopy or a malaria qPCR 18S result over 50 p/ml Bacterial bloodstream infection is defined as growth of a clinically significant bacterial organism from blood culture within 5 days of incubation or a (16s) PCR result positive for a clinically significant organism.

1 year based on frozen specimens

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
• Diagnostic performance of the Sysmex XN analyser to diagnose malaria compared to malaria rapid diagnostic test
Time Frame: 1 year based on frozen specimens
Malaria parasitemia is defined as the presence of one or more parasites in malaria microscopy or a malaria qPCR 18S result over 50 p/ml
1 year based on frozen specimens
• Diagnostic sensitivity and specificity of Sysmex XN analyser to diagnose viral infections or non-bacteremic bacterial infections with or without malaria
Time Frame: 1 year based on frozen specimens

In participants of 5 years and older. Performance will be tested before and after training the algorithm.

For description of case definitions, please see detailed description

1 year based on frozen specimens
• Comparison of diagnostic performance of Sysmex XN analyser compared with C-reactive protein and procalcitonin in diagnosing malaria with or without co-infections, bacterial and viral infections.
Time Frame: 1 year based on frozen specimens
Performance will be tested before and after training the algorithm. For description of case definitions, please see detailed description
1 year based on frozen specimens
• To develop and optimize an algorithm to diagnose viral and bacterial infection in children below 5 years of age.
Time Frame: 1 year based on frozen specimens
The data will be used to train an algorithm. For description of case definitions, please see detailed description
1 year based on frozen specimens

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Andre van der Ven, Radboud university medical center
  • Principal Investigator: Halidou Tinto, CRUN
  • Principal Investigator: Jan Jacobs, ITG

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2016

Primary Completion (Actual)

June 30, 2017

Study Completion (Actual)

June 30, 2017

Study Registration Dates

First Submitted

January 26, 2016

First Submitted That Met QC Criteria

January 28, 2016

First Posted (Estimate)

February 1, 2016

Study Record Updates

Last Update Posted (Actual)

July 21, 2017

Last Update Submitted That Met QC Criteria

July 19, 2017

Last Verified

July 1, 2017

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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