Application of Nanopore Sequencing in Newly Diagnosed Acute Myeloid Leukemia Patients With Bloodstream Infection

Application of Nanopore Sequencing in Newly Diagnosed Acute Myeloid Leukemia Patients With Neutropenia and Bloodstream Infection: a Prospective Multicenter Observational Clinical Study

Acute myeloid leukemia (AML) patients are prone to blood stream infection (BSI) due to bone marrow suppression, oral and gastrointestinal mucositis, endovascular tubes, and the application of a large number of broad-spectrum antibiotics. The associated mortality rate is as high as 7.1 %-42%. The use of antibiotics within one hour after the first observation of hypotensive symptoms can guarantee a 79.9% survival rate. For every hour of delay, the patient's survival rate will drop by 7.6%. At present, the blood culture test cycle is long and the positive rate is low. Other infection-related indicators (PCT, CRP) or next-generation sequencing are not highly specific and easy to be misdiagnosed. X-ray, CT and other examinations only have a certain auxiliary value for the infected site. We need new diagnostic tools to accurately identify pathogens. Nano-seq is a next-generation sequencing technology for single-molecule, real-time sequencing and analysis. With ultra-long sequencing read length, it can quickly and accurately identify BSI pathogens types, and give appropriate drug sensitivity results based on drug resistance genes to meet the needs of 99.9% pathogen screening. At the same time, we hope to conduct a prospective evaluation to target high-risk groups of AML prone to BSI in the early stage. The intestine is the body's largest immune organ and the largest reservoir of microbial pathogens. The expansion of certain gut microbiota usually precedes BSI. If there is a correlation between the gut microbiota and MDR-BSI, the colonization and changes of the intestinal flora can be used to predict the risk of BSI in patients during treatment, and preventive measures such as early decolonization or biological intervention will reduce the risk of infection in the future. Combined with Nano-seq and various existing clinical pathogen detection technologies to reduce the occurrence and progress of clinical BSI.

Study Overview

Detailed Description

For AML patients with bloodstream infections, we analyzed and compared the sensitivity, specificity, and consistency of Nano-seq and traditional blood culture tests, and evaluated the advantages of Nano-seq for clinical diagnosis and treatment guidance of newly-treated AML bloodstream infections. At the same time, the homology analysis of gut microbiota and bloodstream infection strains was carried out to explore the correlation between gut microbiota and bloodstream infection in newly treated AML patients.

Study Type

Observational

Enrollment (Anticipated)

20

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

    • Jiangsu
      • Suzhou, Jiangsu, China, 215006
        • Recruiting
        • The First Affiliated Hospital of Soochow University

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Newly diagnosed acute myeloid leukemia patients with neutropenia and bloodstream infection

Description

Inclusion Criteria:

  • Newly diagnosed AML according to the WHO (2016) classification of acute myeloid leukemia.
  • No history of previous chemotherapy or target therapy.
  • Neutrophil deficiency (ANC<0.5x10^9/L) with the first time fever(Oral temperature >=38.3 degree C or axillary temperature >=38.0 degree C) accompanied by chills or hemodynamic instability(BP <=90/60mmHg)
  • Ability to comprehend the investigational nature of the study and provide informed consent.

Exclusion Criteria:

  • Patients have a history of chemotherapy or target therapy.
  • Patients with other commodities that the investigators considered not suitable for the enrollment.

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity of Nano-seq group compared to blood culture group
Time Frame: Within 2 week of sampling.
Proportion of samples where Nano-seq detects a pathogenic micro-organism that has been identified by blood culture diagnostic pathway.
Within 2 week of sampling.
Specificity of Nano-seq group compared to blood culture group
Time Frame: Within 2 week of sampling.
Proportion of samples where Nano-seq does not detect a micro-organism where blood culture diagnostic pathway has also not detected a micro-organism.
Within 2 week of sampling.
Level of agreement between Nano-seq group and blood culture group
Time Frame: Within 2 week of sampling.
Proportion of samples where the two methods produce the same result.
Within 2 week of sampling.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To compare the detection time, the intensity, duration and cost of antibiotics,length and cost of hospitalization between the Nano-seq group and blood culture group
Time Frame: 3 months
To assess the difference between Nano-seq group and blood culture group in terms of timeliness and hospitalization costs
3 months
Analyze the homology of the gut microbiota of patients with bloodstream infections and the detected strains
Time Frame: 3 months
To assess the source of bloodstream infection and record the clinical high-risk factors and treatment outcomes
3 months
Intestinal flora OTU clustering, genus abundance, Alpha diversity, Beta diversity, differences between LEfse groups, baseline value and subsequent changes in the prediction of the metabolic function of the gut microbiota
Time Frame: 3 months
To assess the correlation between colonization and changes of gut microbiota and bloodstream infections
3 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Haiping Dai, Ph.D, The First Affiliated Hospital of Soochow University

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)

August 5, 2021

Primary Completion (Anticipated)

July 31, 2023

Study Completion (Anticipated)

September 30, 2023

Study Registration Dates

First Submitted

August 17, 2021

First Submitted That Met QC Criteria

August 17, 2021

First Posted (Actual)

August 23, 2021

Study Record Updates

Last Update Posted (Actual)

August 23, 2021

Last Update Submitted That Met QC Criteria

August 17, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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