Acute Myeloid Leukemia, Blood Stream Infection, Gut Microbiota
Conditions
Keywords
Nanopore sequencing, Blood culture
Brief summary
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.
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.
Interventions
None listed
Sponsors
The First Affiliated Hospital of Soochow University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity of Nano-seq group compared to blood culture group | 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. |
| Specificity of Nano-seq group compared to blood culture group | 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. |
| Level of agreement between Nano-seq group and blood culture group | Within 2 week of sampling. | Proportion of samples where the two methods produce the same result. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| 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 | 3 months | To assess the difference between Nano-seq group and blood culture group in terms of timeliness and hospitalization costs |
| Analyze the homology of the gut microbiota of patients with bloodstream infections and the detected strains | 3 months | To assess the source of bloodstream infection and record the clinical high-risk factors and treatment outcomes |
| 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 | 3 months | To assess the correlation between colonization and changes of gut microbiota and bloodstream infections |
Countries
China
Contacts
Primary ContactXiaowen Tang, Ph.D
Outcome results
None listed