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Qin S, Lv D, Duan R, Zheng X, Bukai A, Lu X, Duan Q, Yu M, Jing H, Wang X. Case report: A case of brucellosis misdiagnosed as coronavirus disease 2019/influenza in China. Front Public Health 2023; 11:1186800. [PMID: 37724314 PMCID: PMC10505428 DOI: 10.3389/fpubh.2023.1186800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 08/14/2023] [Indexed: 09/20/2023] Open
Abstract
Brucellosis is an important zoonosis and a multisystem disease. The signs and symptoms of brucellosis are not specific. In the clinical, brucellosis is often ignored and misdiagnosed. We report a case of brucellosis who was misdiagnosed as coronavirus disease 2019 (COVID-19)/influenza and received delayed treatment during strict COVID-19 control. The neglect of other diseases due to COVID-19 and empirical diagnosis and treatment by medical staff are part of the reasons for misdiagnosis. Otherwise, the normal erythrocyte sedimentation rate (ESR), increased white blood cell count (WBC), and increased neutrophil count (NEUT) of this patient was also a cause of misdiagnosis, which is an important reminder for diagnosis. For patients with the unknown origin of fever and other symptoms related to brucellosis, especially those from endemic areas of brucellosis, brucellosis screening is a priority item, and grassroots doctors should be vigilant and standardize the diagnosis and treatment based on epidemiology history, clinical manifestation, and laboratory tests according to the diagnostic criteria of brucellosis.
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Affiliation(s)
- Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongyue Lv
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojin Zheng
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Asaiti Bukai
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Xinmin Lu
- Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan, China
| | - Qun Duan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mingrun Yu
- Taizhou Center for Disease Control and Prevention, Taizhou, China
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Obot O, John A, Udo I, Attai K, Johnson E, Udoh S, Nwokoro C, Akwaowo C, Dan E, Umoh U, Uzoka FM. Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map. Trop Med Infect Dis 2023; 8:352. [PMID: 37505648 PMCID: PMC10386044 DOI: 10.3390/tropicalmed8070352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/26/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
The report of the World Health Organization (WHO) about the poor accessibility of people living in low-to-middle-income countries to medical facilities and personnel has been a concern to both professionals and nonprofessionals in healthcare. This poor accessibility has led to high morbidity and mortality rates in tropical regions, especially when such a disease presents itself with confusable symptoms that are not easily differentiable by inexperienced doctors, such as those found in febrile diseases. This prompted the development of the fuzzy cognitive map (FCM) model to serve as a decision-support tool for medical health workers in the diagnosis of febrile diseases. With 2465 datasets gathered from four states in the febrile diseases-prone regions in Nigeria with the aid of 60 medical doctors, 10 of those doctors helped in weighting and fuzzifying the symptoms, which were used to generate the FCM model. Results obtained from computations to predict diagnosis results for the 2465 patients, and those diagnosed by the physicians on the field, showed an average of 87% accuracy for the 11 febrile diseases used in the study. The number of comorbidities of diseases with varying degrees of severity for most patients in the study also covary strongly with those found by the physicians in the field.
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Affiliation(s)
- Okure Obot
- Department of Computer Science, University of Uyo, Uyo 520103, Nigeria
| | - Anietie John
- Department of Mathematics and Computer Science, Ritman University, Ikot Ekpene 530101, Nigeria
| | - Iberedem Udo
- Department of Computer Science, University of Uyo, Uyo 520103, Nigeria
| | - Kingsley Attai
- Department of Mathematics and Computer Science, Ritman University, Ikot Ekpene 530101, Nigeria
| | - Ekemini Johnson
- Department of Mathematics and Computer Science, Ritman University, Ikot Ekpene 530101, Nigeria
| | - Samuel Udoh
- Department of Computer Science, University of Uyo, Uyo 520103, Nigeria
| | - Chukwudi Nwokoro
- Department of Computer Science, University of Uyo, Uyo 520103, Nigeria
| | - Christie Akwaowo
- Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo 520103, Nigeria
| | - Emem Dan
- Health Systems Research Hub, University of Uyo Teaching Hospital, Uyo 520103, Nigeria
| | - Uduak Umoh
- Department of Computer Science, University of Uyo, Uyo 520103, Nigeria
| | - Faith-Michael Uzoka
- Department of Mathematics and Computing, Mount Royal University, Calgary, AB T3E 6K6, Canada
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Bonko MDA, Tahita MC, Kiemde F, Lompo P, Mens PF, Tinto H, Schallig HDFH. Diagnostic Performance of Plasmodium falciparum Histidine-Rich Protein-2 Antigen-Specific Rapid Diagnostic Test in Children at the Peripheral Health Care Level in Nanoro (Burkina Faso). Trop Med Infect Dis 2022; 7. [PMID: 36548695 DOI: 10.3390/tropicalmed7120440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/05/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
(1) Background: Malaria control has strongly benefited from the implementation of rapid diagnostic tests (RDTs). The malaria RDTs used in Burkina Faso, as per the recommendation of the National Malaria Control Program, are based on the detection of histidine-rich protein-2 (PfHRP2) specific to Plasmodium falciparum, which is the principal plasmodial species causing malaria in Burkina Faso. However, there is increasing concern about the diagnostic performance of these RDTs in field situations, and so constant monitoring of their accuracy is warranted. (2) Methods: A prospective study was performed in the health district of Nanoro, where 391 febrile children under 5 years with an axillary temperature ≥37.5 °C presenting at participating health facilities were subjected to testing for malaria. The HRP2-based RDT and expert microscopy were used to determine the diagnostic performance of the former. Retrospectively, the correctness of the antimalaria prescriptions was reviewed. (3) Results: Taking expert malaria microscopy as the gold standard, the sensitivity of the employed RDT was 98.5% and the specificity 40.5%, with a moderate agreement between the RDT testing and microscopy. In total, 21.7% of cases received an inappropriate antimalarial treatment based on a retrospective assessment with expert microscopy results. (4) Conclusion: Malaria remains one of the principal causes of febrile illness in Burkina Faso. Testing with HRP2-based RDTs is inaccurate, in particular, due to the low specificity, which results in an over-prescription of antimalarials, with emerging antimalarial drug resistance as an important risk and many children not being treated for potential other causes of fever.
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Abstract
Alterations of the volatile metabolome (the collection of volatiles present in secretions and other emanations) that occur in response to inflammation can be detected by conspecifics and chemometric analyses. Using a model system where mouse urinary metabolites are altered by treatment with lipopolysaccharide (found in the outer cell membrane of gram-negative bacteria), we hypothesized that alteration of body odor volatiles will vary according to the pathogen responsible for inducing the inflammation. We tested this hypothesis by treating mice with different immunogens that engage different immune signaling pathways. Results suggest that alterations of body odor volatiles resulting from inflammation do contain detailed information about the type of pathogen that instigated the inflammation and these differences are not merely dependent on the severity of the inflammatory event. These results are encouraging for the future of differential medical diagnosis of febrile diseases by analysis of the volatile metabolome. In particular, our data support the possibility that bacterial infections can be differentiated from viral infections such that antibiotic drug stewardship could be drastically improved by reducing unneeded treatments with antibiotics.
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Affiliation(s)
- Patrick Millet
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA, USA
| | - Talia Martin
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA, USA
| | - Maryanne Opiekun
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA, USA
| | - Gary K Beauchamp
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA, USA
| | - Bruce A Kimball
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA, USA
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Abstract
The human body has a perfect thermoregulatory system to meet the needs of normal life activities. The central regulation of body temperature is mainly explained by the theory of "setting point (setpoint, SP)". Fever is a positive but nonspecific response of the body to infections and other pyrogens, which causes immune cells to release cytokines, leading to a brain protein-mediated rise in body temperature. Cytokines can be roughly divided into 2 categories: proinflammatory cytokines and anti-inflammatory cytokines. IL-1, TNF-α, and IL-6 are proinflammatory cytokines, whereas IL-4 and IL-10 are anti-inflammatory cytokines. IL-2 is a cytokine that can both activate and inhibit immunity. IL-8 is a neutrophil chemotactic factor, and IFN is a cytokine that plays a key role in the proper induction and maintenance of innate and acquired immunity. This article reviews the pathophysiological characteristics of fever and the cytokines related to fever (IL-2, 4, 6, 8, 10, IFN, TNF, etc.).
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Affiliation(s)
- Jinfeng Lai
- Department of Infectious Diseases, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Huichun Wu
- Department of Infectious Diseases, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Ailan Qin
- Department of Infectious Diseases, First Affiliated Hospital of Soochow University, Suzhou, China
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