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Muacevic A, Adler JR, Gomes V, Castro Gomes G. Febrile Neutropenia as the First Manifestation of T-Cell Large Granular Lymphocytic Leukemia. Cureus 2022; 14:e31274. [PMID: 36505171 PMCID: PMC9732502 DOI: 10.7759/cureus.31274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 11/11/2022] Open
Abstract
T-cell large granular lymphocytic (T-LGL) leukemia is a rare lymphoproliferative disorder, characterized by peripheral blood and bone marrow infiltration with large granular lymphocytes (LGL), splenomegaly, cytopenias, and a frequent association with autoimmune diseases. Recurrent bacterial infections due to neutropenia are the main reason why patients come to medical attention. Despite not being a curable disease, T-LGL leukemia usually has an indolent course, with deaths mainly resulting from severe infections. Treatment is often not required, however, when needed, aims to relieve symptoms, and reduce infections and transfusion needs. We describe a case of an 86-year-old female patient with febrile neutropenia, diagnosed with T-LGL leukemia after the resolution of infection and exclusion of other causes of neutropenia. A "watch and wait" approach was established after a multidisciplinary discussion. This case shows a frequent presentation of a rare disease, as well as the approach from diagnosis to treatment, reminding clinicians that T-LGL leukemia should be considered in the differential diagnosis of adults with febrile neutropenia.
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Wang C, You Z, Fu J, Chen S, Bai D, Zhao H, Song P, Jia X, Yuan X, Xu W, Zhao Q, Pang F. Application of metagenomic next-generation sequencing in the diagnosis of pulmonary invasive fungal disease. Front Cell Infect Microbiol 2022; 12:949505. [PMID: 36237437 PMCID: PMC9551268 DOI: 10.3389/fcimb.2022.949505] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 09/05/2022] [Indexed: 12/16/2022] Open
Abstract
BackgroundMetagenomic next-generation sequencing (mNGS) is increasingly being used to detect pathogens directly from clinical specimens. However, the optimal application of mNGS and subsequent result interpretation can be challenging. In addition, studies reporting the use of mNGS for the diagnosis of invasive fungal infections (IFIs) are rare.ObjectiveWe critically evaluated the performance of mNGS in the diagnosis of pulmonary IFIs, by conducting a multicenter retrospective analysis. The methodological strengths of mNGS were recognized, and diagnostic cutoffs were determined.MethodsA total of 310 patients with suspected pulmonary IFIs were included in this study. Conventional microbiological tests (CMTs) and mNGS were performed in parallel on the same set of samples. Receiver operating characteristic (ROC) curves were used to evaluate the performance of the logarithm of reads per kilobase per million mapped reads [lg(RPKM)], and read counts were used to predict true-positive pathogens.ResultThe majority of the selected patients (86.5%) were immunocompromised. Twenty species of fungi were detected by mNGS, which was more than was achieved with standard culture methods. Peripheral blood lymphocyte and monocyte counts, as well as serum albumin levels, were significantly negatively correlated with fungal infection. In contrast, C-reactive protein and procalcitonin levels showed a significant positive correlation with fungal infection. ROC curves showed that mNGS [and especially lg(RPKM)] was superior to CMTs in its diagnostic performance. The area under the ROC curve value obtained for lg(RPKM) in the bronchoalveolar lavage fluid of patients with suspected pulmonary IFIs, used to predict true-positive pathogens, was 0.967, and the cutoff value calculated from the Youden index was −5.44.ConclusionsIn this study, we have evaluated the performance of mNGS-specific indicators that can identify pathogens in patients with IFIs more accurately and rapidly than CMTs, which will have important clinical implications.
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Affiliation(s)
- Chengtan Wang
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Zhiqing You
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Juanjuan Fu
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Shuai Chen
- Department of Clinical Laboratory, Liaocheng Third People’s Hospital, Liaocheng, China
- Department of Virology, School of Public Health, Shandong University, Jinan, China
| | - Di Bai
- Department of Clinical Laboratory, Liaocheng Third People’s Hospital, Liaocheng, China
| | - Hui Zhao
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Pingping Song
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Xiuqin Jia
- The Key Laboratory of Molecular Pharmacology, Liaocheng People’s Hospital, Liaocheng, China
| | - Xiaoju Yuan
- Department of Gastroenterology, Liaocheng People’s Hospital, Liaocheng, China
| | - Wenbin Xu
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
| | - Qigang Zhao
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
- *Correspondence: Feng Pang, ; Qigang Zhao,
| | - Feng Pang
- Department of Clinical Laboratory, Liaocheng People’s Hospital, Liaocheng, China
- *Correspondence: Feng Pang, ; Qigang Zhao,
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