Skip to content

MALDITOF Versus Routine Clinical Microbiology for Identifying Pathogens; a Randomized Diagnostic Trial

Assessing Time to Reporting and Clinical Management of Patients With Severe Bacterial and Fungal Infections Between Two Diagnostic Approaches: Matrix-assisted Laser Desorption Ionization-time of Flight Mass Spectrometry Versus Routine Clinical Microbiology for Identifying Pathogens; a Randomized Diagnostic Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02306330
Acronym
MALDITOF
Enrollment
802
Registered
2014-12-03
Start date
2014-12-31
Completion date
2016-01-31
Last updated
2016-11-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bacterial Infections, Fungal Infections

Keywords

Malditof, Malditof MS, matrix-assisted laser desorption ionization-time, identifying pathogens, randomized diagnostic trial

Brief summary

MALDI-TOF MS is capable of directly identifying bacteria and fungi in positive blood cultures, which may be beneficial to patient management. Therefore, MALDI-TOF MS is an important new technology that is becoming routine in developed countries. It is currently unknown whether MALDITOF MS improves diagnostics, costs and patient outcomes in developing countries. This study will assess the clinical impact of a MALDITOF MS system (Maldi Biotyper, Bruker, Germany) in the resource constrained setting of Vietnam and at what cost.

Detailed description

When an eligible specimen from a patient shows pathogen growth, the pathogen identification will be randomized to either MaldiTof or routine diagnostics ('diagnostic pipelines'). Randomization to MaldiTof or routine diagnostics will be 1:1 with stratification by hospital and specimen type (blood vs. other). Isolates grown from all eligible specimens of the same patient will be assigned to the same diagnostic pipeline as the first randomized specimen of that patient. Allocation to diagnostic arm will be assigned by a web based randomization program. When a pathogen is isolated from a positive eligible specimen, the laboratory technician will log onto the secure randomization program and enter the patient and specimen code. The random diagnostic pipeline allocation will then be generated, informed to the laboratory technician and logged in the study database. In the case of multiple specimens with pathogen growth for a single patient, the unique patient code will trigger the randomization program to generate the same diagnostic arm allocation as the previous sample(s).

Interventions

DEVICEMalditof

Malditof MS system is applied for Malditof group for identifying pathogens. It takes 20 minutes to give the results.

OTHERRoutine clinical microbiology

Pathogens will be identified by the routine clinical microbiology of the hospital.

Sponsors

National Hospital for Tropical Diseases, Hanoi, Vietnam
CollaboratorOTHER_GOV
Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
CollaboratorOTHER
Oxford University Clinical Research Unit, Vietnam
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

Pathogen isolates from the following specimens: blood or diagnostic aspirates from normally sterile sites (including cerebrospinal fluid (CSF), deep abscesses, joint fluid, peritoneal fluid, and pleural fluid, deep tissue biopsies).

Exclusion criteria

* Specimens negative for all pathogens * Specimens from sputum, respiratory or non-surgical wound swabs, nails, mucosal or skin biopsies, urine, fluid from drains, skin swabs and any others not listed in the inclusion criteria.

Design outcomes

Primary

MeasureTime frameDescription
Proportion of patients on optimal antibiotic treatmentWithin 24 hours of positive culture (first growth of an eligible specimen).Optimal antibiotic treatment is defined as an antibiotic treatment for at least 48 hours since positive culture, targeted to the identified pathogen and later found to cover the organisms antimicrobial resistance profile, while avoiding unnecessary broad spectrum antibiotics (e.g. avoid carbapenems or multiple agents where other agents or single agents would provide sufficient coverage). This study aims to determine The proportion of patients on optimal antibiotic treatment within 24 hours of positive culture (first growth of an eligible specimen).

Secondary

MeasureTime frame
The total number of antibiotic switchesDuring treatment course, estimated to be 7-10 days.
The total duration of antibiotic treatmentDuring treatment course, estimated to be 7-10 days.
Length of ICU stayDuring ICU admission, estimated to be 7 days
Length of hospital stayDuring hospital admission, estimated to be 12 days
Patient outcome: death, palliative discharge, survived with sequelae, recoveredOn or before discharge, estimated to be at 12 days
Costs of microbiological testingOn or before discharge, estimated to be at 12 days
Treatment and hospital costsOn or before discharge, estimated to be at 12 days

Other

MeasureTime frame
The time from first recognition of isolate growth to issue of pathogen identification reportEstimated 0-12 hours
The time from specimen collection to issue of pathogen identification reportEstimated 24-48 hours
Time from first specimen collection to dischargeEstimated to be 12 days
Time from first pathogen identification to dischargeEstimated to be 10 days
Time from specimen collection of positive eligible specimen to optimal antibiotic treatmentDuring hospital admission, estimated to be 0-48 hours
Time from first growth of an eligible specimen to optimal antibiotic treatment.During hospital admission, estimated to be 0-48 hours

Countries

Vietnam

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 21, 2026