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1.
Microbiol Spectr ; 11(1): e0431222, 2023 02 14.
Artigo em Inglês | MEDLINE | ID: mdl-36625651

RESUMO

Metagenomic sequencing is a promising new method for pathogen detection. We aimed to detect pathogens from archived plasma using metagenomic sequencing in a previously well-characterized cohort of 254 predominantly HIV-infected patients with sepsis in Uganda. We used Illumina sequencing and the Chan Zuckerberg ID metagenomics platform to sequence and identify pathogens. On average, each plasma sample yielded 3,404,737 ± 2,201,997 reads (mean ± standard deviation), of which 220,032 ± 416,691 (6.3% ± 8.6%) were identified as nonhuman reads. Using a background model filter, 414 genus-specific pathogen identifications were found in the 254 samples. Nineteen pathogens were previously detected positive by quantitative PCR (qPCR), compared to sequencing, which demonstrated 30.2% sensitivity and 99.5% specificity. Sensitivity was higher for viral pathogens than nonviral pathogens (37% versus 5%). For example, HIV viremia was detected in 69% of samples using qPCR, and sequencing revealed 70% sensitivity and 92% specificity. There were 75 genus-specific potential pathogens identified by sequencing in this cohort, including hepatitis B and Epstein-Barr virus (EBV), among several others. qPCR showed a prevalence of hepatitis B and EBV viremia of 17% and 45%, respectively. In-hospital mortality was associated with a lower qPCR threshold cycle value for EBV (adjusted odds ratio, 0.85; P < .001) but not for hepatitis B or HIV. In conclusion, a broad range of potential pathogens were identified by metagenomic sequencing in patients with sepsis in Uganda. Unexpectedly high rates of hepatitis B and EBV viremia were found. Whether these viral infections in HIV patients with sepsis are clinically important requires further study. IMPORTANCE The use of next-generation sequencing (NGS) in blood samples is an emerging technology for clinical microbiology labs. In this work, we performed NGS on plasma samples from a well-characterized cohort, where all samples had been previously tested by PCR for 43 pathogens. Therefore, we could compare sequencing performance against that of PCR and identify clinical correlates. A broad range of potential pathogens were identified by metagenomic sequencing in patients with sepsis in Uganda, particularly viruses, which we confirmed by PCR. In addition to HIV viremia, unexpectedly high rates of hepatitis B and EBV viremia were found, which may have important clinical implications.


Assuntos
Infecções por Vírus Epstein-Barr , Infecções por HIV , Hepatite B , Humanos , Viremia , Infecções por HIV/complicações , Uganda/epidemiologia , Herpesvirus Humano 4 , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Metagenômica/métodos
2.
Int J Mycobacteriol ; 11(3): 241-248, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36260441

RESUMO

Background: Mortality from tuberculosis (TB) sepsis is common among patients living with human immunodeficiency virus (PLHIV). We aimed to detect M. tuberculosis (MTB) and additional sepsis etiologies, and mortality determinants in PLHIV. Methods: This prospective cohort study consented and followed-up PLHIV for 28 days in northern Tanzania. From May through December 2021, patients provided urine and sputum for TB testing in lateral-flow lipoarabinomannan (LF-LAM) and Xpert® MTB/RIF. Bacterial blood culture, cryptococcal antigen, malaria rapid diagnostic, C-reactive-protein (CRP), and international normalized ratio (INR) tests were also performed. Sepsis severity was clinically measured by Karnofsky and modified early warning signs (MEWS) scores. Anti-TB, broad-spectrum antibiotics, and antimalarial and antifungal agents were prescribed in accordance with Tanzania treatment guideline. An independent t-test and Chi-square or Fisher's exact tests compared means and proportions, respectively. P < 0.05 was statistically significant. Results: Among 98 patients, 59 (60.2%) were female. Their mean (standard deviation) age was 44 (12.9) years. TB detection increased from 24 (24.5%) by Xpert® MTB/RIF to 36 (36.7%) when LF-LAM was added. In total, 23 (23.5%) patients had other than TB etiologies of sepsis, including Staphylococcus aureus, Streptococcus pneumoniae, Cryptococcus spp., and Plasmodium spp. Twenty-four (94.4%) of 36 patients with TB had higher CRP (≥10 mg/l) compared to 25 (40.3%) non-TB patients (P < 0.001). Nine (9.2%) patients died and almost all had INR ≥1.8 (n = 8), Karnofsky score <50% (n = 9), MEWS score >6 (n = 8), and malnutrition (n = 9). Conclusions: MTB and other microbes contributed to sepsis in PLHIV. Adding non-TB tests informed clinical decisions. Mortality was predicted by conventional sepsis and severity scoring, malnutrition, and elevated INR.


Assuntos
Antimaláricos , Infecções por HIV , Desnutrição , Mycobacterium tuberculosis , Sepse , Tuberculose dos Linfonodos , Humanos , Feminino , Adulto , Masculino , Estudos Prospectivos , Antifúngicos , Tanzânia/epidemiologia , Infecções por HIV/complicações , Infecções por HIV/diagnóstico , Estudos de Coortes , Antibacterianos , HIV
3.
Acta Trop ; 227: 106286, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-34953775

RESUMO

Acute febrile illnesses are common reasons to seek healthcare globally. They can be caused by diverse infectious diseases which require complex diagnostics. Current clinical guidelines provide guidance on how to manage severe illness, common localizing infections like pneumonia and urinary tract infections, as well as malaria. How to manage other cases of acute febrile illness is less clear and is the focus of this review. Without an etiologic diagnosis, clinicians frequently prescribe empiric antibiotics that may be unnecessary or inadequate. We reviewed recent studies on the etiology of acute febrile illnesses in adults and adolescents that employed multiple diagnostic modalities, including rapid diagnostic tests, serologies, and polymerase chain reaction. Although studies and etiologies were heterogenous, we enumerated the causes of febrile illness in these studies. Possible improvements in clinical decision-making algorithms are discussed.


Assuntos
Doenças Transmissíveis , Malária , Infecções Urinárias , Adolescente , Adulto , Antibacterianos/uso terapêutico , Febre/diagnóstico , Febre/tratamento farmacológico , Febre/etiologia , Humanos , Malária/tratamento farmacológico
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