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.
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).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
802
Malditof MS system is applied for Malditof group for identifying pathogens. It takes 20 minutes to give the results.
Pathogens will be identified by the routine clinical microbiology of the hospital.
National Hospital for Tropical Diseases
Hà Nội, Vietnam
Hospital for Tropical Diseases
Ho Chi Minh City, Vietnam
Proportion of patients on optimal antibiotic treatment
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).
Time frame: Within 24 hours of positive culture (first growth of an eligible specimen).
The total duration of antibiotic treatment
Time frame: During treatment course, estimated to be 7-10 days.
The total number of antibiotic switches
Time frame: During treatment course, estimated to be 7-10 days.
Length of ICU stay
Time frame: During ICU admission, estimated to be 7 days
Length of hospital stay
Time frame: During hospital admission, estimated to be 12 days
Patient outcome: death, palliative discharge, survived with sequelae, recovered
Time frame: On or before discharge, estimated to be at 12 days
Costs of microbiological testing
Time frame: On or before discharge, estimated to be at 12 days
Treatment and hospital costs
Time frame: On or before discharge, estimated to be at 12 days
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