Pathogen detection by metagenomic next generation sequencing during neutropenic fever in patients with hematological malignancies

Metagenomic analysis of microbial cell-free DNA from plasma of patients with suspected infections: performance and therapeutic impact in clinical routine

OBJECTIVES

The sensitivity of blood cultures (BCs) is limited, especially when antimicrobial therapy already has been administered or when non-culturable pathogens are causing the disease. Metagenomic next-generation sequencing of cell-free DNA from plasma has the potential to compensate for the disadvantages of BC diagnostics.

METHODS

We conducted a retrospective study in patients with suspected infections over a period of 3 months. Cell-free DNA from plasma was analysed by metagenomic next-generation sequencing (Illumina NextSeq, 25 million reads per sample, read length 75 base pairs) and sequences were analysed with DISQVER®, a CE-IVDD-labelled software algorithm and curated database. The data were compared with findings obtained with simultaneously taken BC and other microbiological results (±7 days).

RESULTS

DISQVER® analysis was performed on 190 samples from 147 patients (124 adult and 23 paediatric). The median time-to-result including transport was 2 days (interquartile range, 2-3; range, 2-8). DISQVER® detected 158 pathogens (103 bacteria, 49 viruses, 4 fungi, and 1 parasite) in 80 plasma samples (positivity rate 42.1%). The median number of pathogens per positive sample was one (interquartile range, 1-2; range, 1-10). The most common bacteria were Enterobacterales (30.1%; 31/103), anaerobic bacteria (18.4%; 19/103), and Enterococcus spp. (15.5%; 16/103); the most frequent viruses were Epstein-Barr virus (28.6%; 14/49), human herpesvirus 6B (18.4%; 9/49), and human cytomegalovirus (18.4%; 9/49). Mycobacterium avium, Legionella pneumophila, Tropheryma whipplei, Rhizomucor pusillus, and Leishmania infantum were detected in one sample each. Simultaneous BC were positive in only 10.2% (18/176) of the samples, but were mostly (68.2%; 120/176) collected under antibiotic therapy. DISQVER® analysis resulted in 24 treatment changes in 20 patients (13.6%; 20/147; 9 start/escalation, 10 stop/de-escalation, 2 catheter replacements, and 3 other).

DISCUSSION

DISQVER® significantly increased the detection rate of pathogens, led to the diagnosis of serious infections that otherwise would have been missed, and possibly improved the treatment of more than 10% of patients.

Utilizing Viral Metagenomics to Characterize Pathogenic and Commensal Viruses in Pediatric Patients with Febrile Neutropenia

Febrile neutropenia (FN) is one of the most common complications in pediatric oncology patients. It has a complex etiologic nature, which in the majority of cases remains unclear. Intervention often follows empirical treatment protocols, mainly using broad-spectrum antibiotics. To evaluate potential viral etiologic agents, this study applied viral metagenomics to paired plasma and oropharyngeal samples obtained from pediatric patients with oncological diseases diagnosed with FN. Metagenomic sequencing was performed on 15 pediatric patients with oncological diseases and FN at the outpatient clinic of Pediatric Oncology at the University Hospital of the Faculty of Medicine of Ribeirão Preto, University of São Paulo. As a control group, we included 15 pediatric patients with oncological diseases in remission or undergoing treatment. Clinically relevant viruses identified by metagenomics in FN patients predominantly included herpesviruses and viruses found in the respiratory tract, like adenoviruses. Direct molecular confirmation was performed on all of them. Anelloviruses, represented by various genera and species in all groups, were also highly prevalent. The data obtained in this study show that viruses might also have possible implications for the etiology of FN. However, due to the complex nature of this disease, more studies are necessary to evaluate their causal relationship. The results obtained in our study may serve to improve patient treatment and ensure adequate management.

Effect of Interpretation of Positive Metagenomic Next-Generation Sequencing Reports on the Infection Diagnosis in Patients With Hematological Disorders

Background

Metagenomic next-generation sequencing (mNGS) has become a crucial diagnostic tool for infectious diseases in patients with hematological disorders. However, despite the abundant microbial information provided by positive mNGS reports, interpreting these results remains challenging due to the lack of standardized criteria.

Methods

We surveyed 92 clinicians to identify common challenges in understanding mNGS reports. Microbiologists then provided additional "report interpretation cards" (RICs) for positive mNGS results alongside original reports. The aim of using RICs was to determine whether each detected microorganism was likely cause of infection. After a 3-month period, a panel of clinical experts retrospectively reviewed 281 cases, involving 728 detected microorganisms, to assess RIC accuracy.

Results

In total, 82.6% of clinicians (76 of 92) experienced difficulties in interpreting mNGS reports. After receiving RICs, 97.8% of clinicians (90 of 92) reported satisfaction. The overall concordance rates between interpretation and adjudication in the 281 cases was 79.0% (222 of 281). In 203 cases in which multiple microorganisms were detected, 37.9% (77 of 203) and 37.4% (76 of 203) were interpreted and adjudicated as mixed infections. Among the 728 microorganisms, interpretation and adjudication revealed concordance rates of 93.9% (154 of 164), 95.7% (88 of 92), and 72.3% (339 of 469) for bacterial, fungal, and viral infections, respectively. In 68.7% of the cases (193 of 281), mNGS positively influenced pathogen diagnosis.

Conclusions

Not all microorganisms detected by mNGS are responsible for infection, and appropriate interpretation is essential. The provision of interpretations by microbiologists aids clinicians in accurately using mNGS for infection diagnosis.

Diagnostic performance of metagenomic next-generation sequencing among hematological malignancy patients with bloodstream infections after antimicrobial therapy

BACKGROUND

Metagenomic next-generation sequencing (mNGS) is an effective method for detecting pathogenic pathogens of bloodstream infection (BSI). However, there is no consensus on whether the use of antibiotics affects the diagnostic performance of mNGS. We conducted a prospective clinical study aiming to evaluate the effect of antimicrobial treatment on mNGS.

METHODS

Blood samples were collected for mNGS testing within 24 h of culture-confirmed with BSI, with re-examination conducted every 2-3 days.

RESULTS

A total of 38 patients with BSI were enrolled. The mNGS positive (mNGS-pos) rate declined sharply after the use of antibiotics, with only 17 (44.78%) patients remaining mNGS-pos while the rest were mNGS negative (mNGS-neg). The median duration of pathogen identification was significantly longer for mNGS compared to blood culture (BC) (4 days vs 1 days; P < 0.0001). A positivity duration of ≥ 3 days was an independent risk factor of septic shock (OR, 20.671; 95% CI, 1.958-218.190; P = 0.012). Patients with mNGS-pos and mNGS-neg differed by the median duration of fever (6 days vs 3 days; P = 0.038), rates of drug resistance (35.3% vs 4.8%; P = 0.017), rates of septic shock (47.1% vs 14.3%; P = 0.029), and 28-day mortality (29.4% vs 4.8%; P = 0.041).

CONCLUSIONS

The antimicrobial treatment will greatly reduce the positive rate of mNGS. The duration of mNGS is significantly longer than that of BC. The prolonged duration of mNGS suggests an increased risk of septic shock and could be identified as a high-risk factor of adverse infection outcome, requiring more aggressive anti-infective treatment measures.

Diagnostic performance of the DISQVER metagenomic sequencing tool for the identification of pathogens in febrile neutropenic patients: the ADNEMIA trial

INTRODUCTION

While intensive protocols in onco-haematology have improved survival rates for patients with haematological malignancies, they have also resulted in an increased incidence of infection associated with therapy-induced immunosuppression (including chemotherapy-induced febrile neutropenia; FN). The occurrence of FN, associated with high morbidity and mortality, necessitates broad-spectrum antibiotic therapy, occasioning delayed chemotherapy and resulting in a loss of opportunity for the patient. Considering that without an identified pathogen, a 10% mortality rate can ensue, documentation is essential to the optimisation of antibiotic therapy. However, blood culture (the reference test) is limited for several reasons: such as fastidious culture, antibiotic treatment prior to sampling or insufficient sample volume. Sequencing technologies have led to the development of diagnostic approaches based on the detection of circulating DNA in blood. This study will aim to assess the clinical utility of metagenomic next-generation sequencing (mNGS)-DISQVER technology in detecting pathogenic microorganisms from blood samples of patients undergoing high-risk FN treatment.

METHODS AND ANALYSIS

This nationwide, prospective, multicentre, interventional, proof-of-concept clinical trial will enrol 200 patients. Will include patients≥18 years old, treated for malignancy, at high risk of FN (Multinational Association for Supportive Care in Cancer score≤21) with an expected duration of neutropenia≥7 days. Patients who received antibiotic treatment within 24 hours prior to enrolment, have previously participated and/or have enhanced protection will be excluded. The primary outcome will be determined by considering the microorganisms responsible for this FN, weighted by the assessment of an adjudication committee. Secondary outcomes will evaluate patient management depending on the arm. The second secondary outcome will be determined by the duration of conventional assessment, frequency of microorganisms detected during routine care and percentage distribution of theoretical adjustments made to anti-infective treatment based on microorganisms diagnosed using the mNGS-DISQVER tool as compared with conventional practices. Identifying the pathogens responsible for high-risk FN from a blood sample, using an unbiased technique, can provide microbiological documentation and may even reveal unexpected microorganisms in these profoundly immunocompromised patients.

ETHICS AND DISSEMINATION

The protocol received approval from the Comité de Protection des Personnes Sud-Méditerranée II. All participants will provide informed consent before participation. The trial has been registered on ClinicalTrials.gov (identifier NCT06075888). The results of the main trial and each of the secondary endpoints will be submitted for publication in a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov NCT06075888.

Exploring the value of hybrid capture-based next-generation sequencing technology in the suspected diagnosis of bloodstream infections

Background

Determining the source of infection is significant for the treatment of bloodstream infections (BSI). The gold standard of blood infection detection, blood cultures, have low positive rates to meet clinical needs. In this study, we investigated the ability of hybrid capture-based next generation sequencing technology to detect pathogens in peripheral blood samples collected from patients with suspected BSI. Blood cultures and capture sequencing assays were also analyzed against the final clinical diagnoses.

Methods

In this study, peripheral blood samples were collected from patients with fever, chills, and suspected BSI at Jinshazhou Hospital of Guangzhou University of Chinese Medicine from March 2023 to January 2024. All samples were tested by three different technologies: plasma capture sequencing technology, white blood cell capture sequencing technology, and blood culture. Relevant clinical diagnostic information was also collected. The performances of the blood cultures were then compared to those of both plasma capture sequencing technology and white blood cell capture sequencing technology.

Results

A total of 98 patients were included in this study. The positive rates of probe capture next generation sequencing (NGS technology) in plasma and white blood cells were 81.63% and 65.31%, respectively, which were both significantly higher than that of the blood culture, which was 21.43% (p < 0.001). Taking blood culture as the standard control, the sensitivity and specificity of plasma capture sequencing were 85.71% and 71.43%, respectively, while the sensitivity and specificity of white blood cell sequencing were 76.19% and 81.82%, respectively. Upon final clinical diagnosis, the clinical agreement rates of the blood cultures, plasma capture sequencing, and white blood cell capture sequencing were 39.80%, 83.67%, and 73.47%, respectively.

Conclusion

Our study demonstrates the high accuracy of probe capture sequencing technology compared to blood cultures in the identification of pathogenic microorganisms in BSI upon final clinical diagnosis. Among the different sample types, white blood cell samples had a lower clinical compliance rate compared to plasma samples, possibly due to the higher host rate in cell samples, which impairs the sensitivity of pathogen detection.

Pathogen detection by targeted next-generation sequencing test in adult hematological malignancies patients with suspected infections

Background

Infections in patients with hematological malignancies (HM) are a significant cause of morbidity and mortality. Timely and effective empirical anti-infective treatment can reduce the infection-related mortality rate. Targeted next-generation sequencing (tNGS) offers a rapid diagnostic approach for identifying diverse pathogens in these patients. However, relevant research is still limited to adult patients with HM.

Methods

We conducted a retrospective analysis of adult HM patients admitted to our hospital from March 2023 to September 2023, focusing on their clinical characteristics and the results of both tNGS and conventional microbiological tests (CMTs). We evaluated the performance of tNGS and CMTs in pathogenic diagnosis and described the distribution characteristics of pathogens in adult HM patients with infections.

Results

The study included 209 samples collected from 137 patients. Results showed that the overall pathogen detection rate differed significantly between tNGS and CMTs (60.3% vs. 24.4%, p < 0.001). The sensitivity (69.7% vs. 35.9%), negative predictive value (NPV) (48.2% vs. 42.4%), and accuracy (66.5% vs. 56.5%) of pathogen detection were notably superior with tNGS compared to CMTs. Among the 142 samples with clinically diagnosed infections, tNGS combined with CMTs identified a definite or probable microbial etiology in 114 samples (80.3%). Of the 36 samples with concordant positive results from both tNGS and CMTs, 72.2% (26/36) exhibited full or partial agreement. Our study further showed the highest detection rate for viral infections (57.0%), predominantly for Epstein-Barr virus (DNA-V, 18.3%). Followed by bacterial infections (46.5%), the detection rate of Gram-negative bacteria (G+, 35.9%) was higher than that of Gram-positive bacteria (G-, 21.8%) in this study. Klebsiella pneumoniae (G-, 12.7%) had the highest detection rate among these emerging bacteria, followed by Pseudomonas aeruginosa (G-, 10.6%) and Enterococcus faecium (G+, 7.7%). Bacterial-viral coinfections were the most common type of mixed infection (35.5%).

Conclusion

In conclusion, tNGS outperforms CMTs in both sensitivity and pathogen spectrum. Therefore, it can serve as an adjunct to CMTs to facilitate the precise adjustment of anti-infective regimens for adult HM patients. Our findings establish a basis for formulating empirical anti-infective therapy strategies tailored to the pathogen distribution in this patient population.

Evaluating metagenomics and targeted approaches for diagnosis and surveillance of viruses

BACKGROUND

Metagenomics is a powerful approach for the detection of unknown and novel pathogens. Workflows based on Illumina short-read sequencing are becoming established in diagnostic laboratories. However, high sequencing depth requirements, long turnaround times, and limited sensitivity hinder broader adoption. We investigated whether we could overcome these limitations using protocols based on untargeted sequencing with Oxford Nanopore Technologies (ONT), which offers real-time data acquisition and analysis, or a targeted panel approach, which allows the selective sequencing of known pathogens and could improve sensitivity.

METHODS

We evaluated detection of viruses with readily available untargeted metagenomic workflows using Illumina and ONT, and an Illumina-based enrichment approach using the Twist Bioscience Comprehensive Viral Research Panel (CVRP), which targets 3153 viruses. We tested samples consisting of a dilution series of a six-virus mock community in a human DNA/RNA background, designed to resemble clinical specimens with low microbial abundance and high host content. Protocols were designed to retain the host transcriptome, since this could help confirm the absence of infectious agents. We further compared the performance of commonly used taxonomic classifiers.

RESULTS

Capture with the Twist CVRP increased sensitivity by at least 10-100-fold over untargeted sequencing, making it suitable for the detection of low viral loads (60 genome copies per ml (gc/ml)), but additional methods may be needed in a diagnostic setting to detect untargeted organisms. While untargeted ONT had good sensitivity at high viral loads (60,000 gc/ml), at lower viral loads (600-6000 gc/ml), longer and more costly sequencing runs would be required to achieve sensitivities comparable to the untargeted Illumina protocol. Untargeted ONT provided better specificity than untargeted Illumina sequencing. However, the application of robust thresholds standardized results between taxonomic classifiers. Host gene expression analysis is optimal with untargeted Illumina sequencing but possible with both the CVRP and ONT.

CONCLUSIONS

Metagenomics has the potential to become standard-of-care in diagnostics and is a powerful tool for the discovery of emerging pathogens. Untargeted Illumina and ONT metagenomics and capture with the Twist CVRP have different advantages with respect to sensitivity, specificity, turnaround time and cost, and the optimal method will depend on the clinical context.

Getting Up to Speed: Rapid Pathogen and Antimicrobial Resistance Diagnostics in Sepsis

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Time to receive effective therapy is a primary determinant of mortality in patients with sepsis. Blood culture is the reference standard for the microbiological diagnosis of bloodstream infections, despite its low sensitivity and prolonged time to receive a pathogen detection. In recent years, rapid tests for pathogen identification, antimicrobial susceptibility, and sepsis identification have emerged, both culture-based and culture-independent methods. This rapid narrative review presents currently commercially available approved diagnostic molecular technologies in bloodstream infections, including their clinical performance and impact on patient outcome, when available. Peer-reviewed publications relevant to the topic were searched through PubMed, and manufacturer websites of commercially available assays identified were also consulted as further sources of information. We have reviewed data about the following technologies for pathogen identification: fluorescence in situ hybridization with peptide nucleic acid probes (Accelerate PhenoTM), microarray-based assay (Verigene®), multiplex polymerase chain reaction (cobas® eplex, BioFire® FilmArray®, Molecular Mouse, Unyvero BCU SystemTM), matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (Rapid MBT Sepsityper®), T2 magnetic resonance (T2Bacteria Panel), and metagenomics-based assays (Karius©, DISQVER®, Day Zero Diagnostics). Technologies for antimicrobial susceptibility testing included the following: Alfed 60 ASTTM, VITEK® REVEALTM, dRASTTM, ASTar®, Fastinov®, QuickMIC®, ResistellTM, and LifeScale. Characteristics, microbiological performance, and issues of each method are described, as well as their clinical performance, when available.

Diagnostic limitations and challenges in current clinical guidelines and potential application of metagenomic sequencing to manage pulmonary invasive fungal infections in patients with haematological malignancies

BACKGROUND

Pulmonary invasive fungal infections (pIFI) disproportionately affect patients with haematological malignancies (HM). Establishing a rapid and accurate diagnosis of pIFI is challenging. Multiple guidelines recommend diagnostic testing of invasive fungal infections but lack consensus and may contribute to inconsistent diagnostic approaches.

OBJECTIVE

To identify key diagnostic challenges and review metagenomic sequencing data.

SOURCES

PubMed, professional consortium, and scientific society websites search to identify relevant, published, evidence-based clinical guidelines within the past 5 years. PubMed searchs for papers describing clinically relevant novel diagnostic technologies.

CONTENT

Current guidelines for patients with HM and suspected pIFI recommend chest computed tomography imaging and specimen testing with microscopic examination (including calcofluor white stain, histopathology, cytopathology, etc.), Aspergillus galactomannan, β-D-glucan, PCR, and culture, each with certain limitations. Emerging real-world data support the adjunctive use of metagenomic sequencing-based tests for the timely diagnosis of pIFI.

IMPLICATIONS

High-quality evidence from robust clinical trials is needed to determine whether guidelines should be updated to include novel diagnostic technologies. Trials should ask whether the combination of powerful novel diagnostics, such as pathogen-agnostic metagenomic sequencing technologies in conjunction with conventional testing can optimize the diagnostic yield for all potential pIFI pathogens that impact the health of patients with HM.

Metagenomic next-generation sequencing as a diagnostic tool in the clinical routine of an infectious diseases department: a retrospective cohort study

BACKGROUND

Metagenomic next-generation sequencing (mNGS) of circulating cell-free DNA from plasma is a hypothesis-independent broadband diagnostic method for identification of potential pathogens. So far, it has only been investigated in special risk populations (e.g. patients with neutropenic fever).

PURPOSE

To investigate the extent to which mNGS (DISQVER® platform) can be used in routine clinical practice.

METHODS

We collected whole blood specimens for mNGS testing, blood cultures (BC), and pathogen-specific PCR diagnostics. Clinical data and pathogen diagnostics were retrospectively reviewed by an infectious disease expert panel regarding the adjustment of anti-infective therapy.

RESULTS

In 55 selected patients (median age 53 years, 67% male) with heterogeneous diagnoses, a total of 66 different microorganisms and viruses were detected using mNGS (51% viruses, 38% bacteria, 8% fungi, 3% parasites). The overall positivity rate of mNGS was 53% (29/55). Fifty-two out of 66 (79%) potential pathogens detected by mNGS were found in patients with primary or secondary immunodeficiency. The concordance rates of BC and pathogen-specific PCR diagnostics with mNGS testing were 14% (4/28) and 36% (10/28), respectively (p < 0.001). An additional bacterial pathogen (Streptococcus agalactiae) could only be detected by BC. Therapeutic consequences regarding anti-infective therapy were drawn from 23 pathogens (35% of detections), with 18 of these detections occurring in patients with immunodeficiency.

CONCLUSIONS

We conclude that mNGS is a useful diagnostic tool, but should only be performed selectively in addition to routine diagnostics of infectious diseases. The limited number of patients and the retrospective study design do not allow any further conclusions.

The impact of neutrophil count on the results of metagenomic next-generation sequencing in immunocompromised febrile children

Metagenomic next-generation sequencing (mNGS) has revolutionized the detection of pathogens, particularly in immunocompromised individuals such as pediatric patients undergoing intensive chemotherapy and hematopoietic stem cell transplantation. This study aims to explore the impact of neutrophil count on the diagnostic efficacy of mNGS in diagnosing infections in pediatric patients with febrile diseases. We conducted a retrospective analysis of pediatric patients with febrile diseases in the hematology/oncology department from January 2019 to September 2022. The study included 387 patients with 516 febrile episodes. Analyzing data from 516 pediatric cases, our study found that 70.7 % had febrile neutropenia (FN) and 29.3 % had febrile without neutropenia (FWN). mNGS demonstrated a high positive detection rate of 84.9 %, compared to 29.7 % for conventional microbiological tests (CMT). While the positive detection rates of mNGS were similar in both FN and FWN groups, bacterial pathogens were more frequently detected in FN patients. Furthermore, the rate of identifying a "probable" microbial etiology was lower in the FN group (46.8 %) compared to the FWN group (65.6 %, p＜0.001). When analyzing the types of organisms and specimens, the "probable" identification rates were particularly lower for viruses and fungi detected by mNGS, as well as in blood and nasopharyngeal swab samples. These findings underscore the significant influence of neutrophil counts on mNGS results in pediatric febrile patients and highlight the necessity for tailored diagnostic approaches in this population.

Application value of metagenomic next-generation sequencing in hematological patients with high-risk febrile neutropenia

Background

Metagenomic next-generation sequencing (mNGS) is a novel non-invasive and comprehensive technique for etiological diagnosis of infectious diseases. However, its practical significance has been seldom reported in the context of hematological patients with high-risk febrile neutropenia, a unique patient group characterized by neutropenia and compromised immune responses.

Methods

This retrospective study evaluated the results of plasma cfDNA sequencing in 164 hematological patients with high-risk febrile neutropenia. We assessed the diagnostic efficacy and clinical impact of mNGS, comparing it with conventional microbiological tests.

Results

mNGS identified 68 different pathogens in 111 patients, whereas conventional methods detected only 17 pathogen types in 36 patients. mNGS exhibited a significantly higher positive detection rate than conventional methods (67.7% vs. 22.0%, P < 0.001). This improvement was consistent across bacterial (30.5% vs. 9.1%), fungal (19.5% vs. 4.3%), and viral (37.2% vs. 9.1%) infections (P < 0.001 for all comparisons). The anti-infective treatment strategies were adjusted for 51.2% (84/164) of the patients based on the mNGS results.

Conclusions

mNGS of plasma cfDNA offers substantial promise for the early detection of pathogens and the timely optimization of anti-infective therapies in hematological patients with high-risk febrile neutropenia.

Plasma Microbial Cell-Free DNA Sequencing for Pathogen Detection and Quantification in Children With Musculoskeletal Infections

BACKGROUND

Nearly half of all pediatric musculoskeletal infections (MSKIs) are culture negative. Plasma microbial cell-free DNA (mcfDNA) sequencing is noninvasive and not prone to the barriers of culture. We evaluated the performance of plasma mcfDNA sequencing in identifying a pathogen, and examined the duration of pathogen detection in children with MSKIs.

METHODS

We conducted a prospective study of children, aged 6 months to 18 years, hospitalized from July 2019 to May 2022 with MSKIs, in whom we obtained serial plasma mcfDNA sequencing samples and compared the results with cultures.

RESULTS

A pathogen was recovered by culture in 23 of 34 (68%) participants, and by initial mcfDNA sequencing in 25 of 31 (81%) participants. Multiple pathogens were detected in the majority (56%) of positive initial samples. Complete concordance with culture (all organisms accounted for by both methods) was 32%, partial concordance (at least one of the same organism(s) identified by both methods) was 36%, and discordance was 32%. mcfDNA sequencing was more likely to show concordance (complete or partial) if obtained prior to a surgical procedure (82%), compared with after (20%), (RR 4.12 [95% CI 1.25, 22.93], p = .02). There was no difference in concordance based on timing of antibiotics (presample antibiotics 60% vs no antibiotics 75%, RR 0.8 [95% CI 0.40, 1.46], p = .65]). mcfDNA sequencing was positive in 67% of culture-negative infections and detected a pathogen for a longer interval than blood culture (median 2 days [IQR 1, 6 days] vs 1 day [1, 1 day], p < .01).

CONCLUSIONS

Plasma mcfDNA sequencing may be useful in culture-negative pediatric MSKIs if the sample is obtained prior to surgery. However, results must be interpreted in the appropriate clinical context as multiple pathogens are frequently detected supporting the need for diagnostic stewardship.

Application of metagenomic next-generation sequencing in the clinical diagnosis of infectious diseases after allo-HSCT: a single-center analysis

BACKGROUND

We investigated the value of metagenomic next-generation sequencing (mNGS) in diagnosing infectious diseases in patients receiving allogeneic hematopoietic stem cell transplantation (allo-HSCT).

METHODS

Fifty-four patients who had fever following allo-HSCT from October 2019 to February 2022 were enrolled. Conventional microbiological tests (CMTs) and mNGS, along with imaging and clinical manifestations, were used to diagnose infection following allo-HSCT. The clinical diagnostic value of mNGS was evaluated.

RESULTS

A total of 61 mNGS tests were performed, resulting in the diagnosis of 46 cases of infectious diseases. Among these cases, there were 22 cases of viral infection, 13 cases of fungal infection, and 11 cases of bacterial infection. Moreover, 27 cases (58.7%) were classified as bloodstream infections, 15 (32.6%) as respiratory infections, 2 (4.3%) as digestive system infections, and 2 (4.3%) as central nervous system infections. Additionally, there were 8 cases with non-infectious diseases (8/54, 14.81%), including 2 cases of interstitial pneumonia, 2 cases of bronchiolitis obliterans, 2 cases of engraftment syndrome, and 2 cases of acute graft-versus-host disease. The positive detection rates of mNGS and CMT were 88.9% and 33.3%, respectively, with significant differences (P < 0.001). The sensitivity of mNGS was 97.82%, the specificity was 25%, the positive predictive value was 93.75%, and the negative predictive value was 50%. Following treatment, 51 patients showed improvement, and 3 cases succumbed to multidrug-resistant bacterial infections.

CONCLUSIONS

mNGS plays an important role in the early clinical diagnosis of infectious diseases after allo-HSCT, which is not affected by immunosuppression status, empiric antibiotic therapy, and multi-microbial mixed infection.

Clinical and diagnostic values of metagenomic next-generation sequencing for infection in hematology patients: a systematic review and meta-analysis

OBJECTIVES

This meta-analysis focused on systematically assessing the clinical value of mNGS for infection in hematology patients.

METHODS

We searched for studies that assessed the clinical value of mNGS for infection in hematology patients published in Embase, PubMed, Cochrane Library, Web of Science, and CNKI from inception to August 30, 2023. We compared the detection positive rate of pathogen for mNGS and conventional microbiological tests (CMTs). The diagnostic metrics, antibiotic adjustment rate and treatment effective rate were combined.

RESULTS

Twenty-two studies with 2325 patients were included. The positive rate of mNGS was higher than that of CMT (blood: 71.64% vs. 24.82%, P < 0.001; BALF: 89.86% vs. 20.78%, P < 0.001; mixed specimens: 82.02% vs. 28.12%, P < 0.001). The pooled sensitivity and specificity were 87% (95%CI: 81-91%) and 59% (95%CI: 43-72%), respectively. The reference standard/neutropenia and research type/reference standard may be sources of heterogeneity in sensitivity and specificity, respectively. The pooled antibiotic adjustment rate according to mNGS was 49.6% (95% CI: 41.8-57.4%), and the pooled effective rate was 80.9% (95% CI: 62.4-99.3%).

CONCLUSION

mNGS has high positive detection rates in hematology patients. mNGS can guide clinical antibiotic adjustments and improve prognosis, especially in China.

A Systematic Literature Review to Identify Diagnostic Gaps in Managing Immunocompromised Patients With Cancer and Suspected Infection

Patients with cancer are increasingly vulnerable to infections, which may be more severe than in the general population. Improvements in rapid and timely diagnosis to optimize management are needed. We conducted a systematic literature review to determine the unmet need in diagnosing acute infections in immunocompromised patients with cancer and identified 50 eligible studies from 5188 records between 1 January 2012 and 23 June 2022. There was considerable heterogeneity in study designs and parameters, laboratory methods and definitions, and assessed outcomes, with limited evaluation of diagnostic impact on clinical outcomes. Culture remains the primary diagnostic strategy. Fewer studies employing molecular technologies exist, but emerging literature suggests that pathogen-agnostic molecular tests may add to the diagnostic armamentarium. Well-designed clinical studies using standardized methodologies are needed to better evaluate performance characteristics and clinical and economic impacts of emerging diagnostic techniques to improve patient outcomes.

Refractory Bilateral Tubo-Ovarian Abscesses in a Patient with Iatrogenic Hypogammaglobulinemia

Genital mycoplasmas are sexually transmitted Mollicutes with a high prevalence of urogenital tract colonization among females of reproductive age. Current guidelines recommend against routine screening for these organisms, since their role in the pathogenesis of pelvic inflammatory disease and tubo-ovarian abscesses (TOAs) remains unclear. However, genital mycoplasmas harbor pathogenic potential in immunocompromised hosts, especially patients with hypogammaglobulinemia. It is important to identify such infections early, given their potential for invasive spread and the availability of easily accessible treatments. We present a young adult female with multiple sclerosis and iatrogenic hypogammaglobulinemia, with refractory, bilateral pelvic inflammatory disease and TOAs due to Ureaplasma urealyticum, identified as a single pathogen via three distinct molecular tests. To our knowledge, this is the second case of TOAs caused by U. urealyticum in the literature, and the first diagnosed by pathogen cell-free DNA metagenomic next-generation sequencing in plasma.

An update on current and novel molecular diagnostics for the diagnosis of invasive fungal infections

BACKGROUND

Invasive fungal infections cause millions of infections annually, but diagnosis remains challenging. There is an increased need for low-cost, easy to use, highly sensitive and specific molecular assays that can differentiate between colonized and pathogenic organisms from different clinical specimens.

AREAS COVERED

We reviewed the literature evaluating the current state of molecular diagnostics for invasive fungal infections, focusing on current and novel molecular tests such as polymerase chain reaction (PCR), digital PCR, high-resolution melt (HRM), and metagenomics/next generation sequencing (mNGS).

EXPERT OPINION

PCR is highly sensitive and specific, although performance can be impacted by prior/concurrent antifungal use. PCR assays can identify mutations associated with antifungal resistance, non-Aspergillus mold infections, and infections from endemic fungi. HRM is a rapid and highly sensitive diagnostic modality that can identify a wide range of fungal pathogens, including down to the species level, but multiplex assays are limited and HRM is currently unavailable in most healthcare settings, although universal HRM is working to overcome this limitation. mNGS offers a promising approach for rapid and hypothesis-free diagnosis of a wide range of fungal pathogens, although some drawbacks include limited access, variable performance across platforms, the expertise and costs associated with this method, and long turnaround times in real-world settings.

Impact of Infection Patterns on the Outcomes of Patients with Hematological Malignancies in Southwest China: A 10-Year Retrospective Case-Control Study

Background

This study aimed to assess the effect of infection patterns on the outcomes of patients with hematological malignancies (HM) and to identify the determinants of in-hospital mortality.

Methods

A case-control study was retrospectively conducted in a tertiary teaching hospital in Chongqing, Southwest China from 2011 to 2020. Clinical characteristics, microbial findings, and outcomes of HM patients with infections were retrieved from the hospital information system. Chi-square or Fisher's exact test was adopted to test the significance of mortality rate. Kaplan-Meier survival analysis and Log rank test were applied to evaluate and compare the 30-day survival rates of those groups. Binary logistic regression, Cox proportional hazards regression, and receiver operating characteristic curves were used to investigate the determinants of in-hospital mortality.

Results

Of 1,570 enrolled participants, 43.63% suffered from acute myeloid leukemia, 69.62% received chemotherapy, and 25.73% had hematopoietic stem cell transplantation (HSCT). Microbial infection was documented in 83.38% of participants. Co-infection and septic shock were reported in 32.87% and 5.67% of participants, respectively. Patients with septic shock suffered a significantly lower 30-day survival rate, while those with distinct types of pathogens or co-infections had a comparable 30-day survival rate. The all-cause in-hospital mortality was 7.01% and higher mortality rate was observed in patients with allo-HSCT (7.20%), co-infection (9.88%), and septic shock (33.71%). Cox proportional hazards regression illustrated that elderly age, septic shock, and elevated procalcitonin (PCT) were independent predictors of in-hospital mortality. A PCT cut-off value of 0.24 ng/mL predicted in-hospital mortality with a sensitivity of 77.45% and a specificity of 59.80% (95% CI = 0.684-0.779, P<0.0001).

Conclusion

Distinct infectious patterns of HM inpatients were previously unreported in Southwest China. It was the severity of infection, not co-infection, source of infection, or type of causative pathogen that positively related to poor outcome. PCT guided early recognition and treatment of septic shock were advocated.

Metagenomic Next-Generation Sequencing of Plasma for Diagnosis of COVID-19-Associated Pulmonary Aspergillosis

Timely diagnosis remains an unmet need in non-neutropenic patients at risk for aspergillosis, including those with COVID-19-associated pulmonary aspergillosis (CAPA), which in its early stages is characterized by tissue-invasive growth of the lungs with limited angioinvasion. Currently available mycological tests show limited sensitivity when testing blood specimens. Metagenomic next-generation sequencing (mNGS) to detect microbial cell-free DNA (mcfDNA) in plasma might overcome some of the limitations of conventional diagnostics. A two-center cohort study involving 114 COVID-19 intensive care unit patients evaluated the performance of plasma mcfDNA sequencing for the diagnosis of CAPA. Classification of CAPA was performed using the European Confederation for Medical Mycology (ECMM)/International Society for Human and Animal Mycoses (ISHAM) criteria. A total of 218 plasma samples were collected between April 2020 and June 2021 and tested for mcfDNA (Karius test). Only 6 patients were classified as probable CAPA, and 2 were classified as possible, while 106 patients did not fulfill CAPA criteria. The Karius test detected DNA of mold pathogens in 12 samples from 8 patients, including Aspergillus fumigatus in 10 samples from 6 patients. Mold pathogen DNA was detected in 5 of 6 (83% sensitivity) cases with probable CAPA (A. fumigatus in 8 samples from 4 patients and Rhizopus microsporus in 1 sample), while the test did not detect molds in 103 of 106 (97% specificity) cases without CAPA. The Karius test showed promising performance for diagnosis of CAPA when testing plasma, being highly specific. The test detected molds in all but one patient with probable CAPA, including cases where other mycological tests from blood resulted continuously negative, outlining the need for validation in larger studies.

Messages from the Seventh International Conference on Clinical Metagenomics (ICCMg7)

Clinical metagenomics (CMg), referring to the application of metagenomic sequencing of clinical samples to obtain clinically relevant information for the diagnosis and management of infectious diseases, has been rapidly evolving these last years. Following this trend, we held the seventh International Conference on Clinical Metagenomics (ICCMg7) in Geneva in October 2022. During the two-day conference, cutting-edge advances and new discoveries using CMg were presented which we summarize in the present paper. During this ICCMg7, we kept on following the progresses achieved worldwide that cover reproducibility in CMg, the advent of new technologies applied to the field of infectious diseases, innovative research in the field of the gut microbiota, and finally the expansion of CMg in the fields of clinical epidemiology with surveillance studies on emerging and known pathogens, but also on antibiotic resistance genes, in the environment and in the animal reservoirs.