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de Vries TP, Pires AM, Diniz KGD, Chagas ALS, Vieira DA, Kakehasi AM, Suen VMM, Bering T, Colosimo EA, Rocha GA, de Paula Farah K, Silva LD. Agreement and diagnostic differences among three definitions of sarcopenia in patients with chronic hepatitis C. Nutr Clin Pract 2024; 39:568-578. [PMID: 38445969 DOI: 10.1002/ncp.11141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 01/27/2024] [Accepted: 02/04/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND There is neither a gold standard definition nor a universal consensus to diagnose sarcopenia in patients with chronic hepatitis C. Thus, we aimed to compare the prevalence of sarcopenia and the agreement and discrepancies between European Working Group on Sarcopenia in Older People (EWGSOP1), EWGSOP2, and Foundation for the National Institutes of Health Biomarkers Consortium Sarcopenia Project (FNIH) definitions in chronic hepatitis C. METHODS Dual-energy x-ray absorptiometry was used to assess muscle mass by quantifying appendicular lean mass (ALM) adjusted for squared height (ALM/ht2) or for body mass index (ALMBMI). Muscle function was evaluated by handgrip strength. Subjective Global Assessment was used to assess the nutrition status. RESULTS This cross-sectional study included 103 outpatients (mean age, 50.6 ± 11.3 years; 33.0% with compensated cirrhosis). Sarcopenia prevalence was 8.7%, 9.7%, and 9.7%, according to EWGSOP1, EWGSOP2, and FNIH definitions, respectively. There was neither a sex- nor a liver disease severity-specific difference in the prevalence of sarcopenia between the criteria applied. Sixteen (15.5%) patients fulfilled at least one of these criteria, and 3 out of 16 (18.8%) simultaneously had sarcopenia by consensus of the three criteria. Sarcopenic obesity was identified in 9 out of 16 (56.3%) patients, and 6 out of 9 (66.7%) of these only met FNIH consensus. CONCLUSIONS In patients without cirrhosis or with compensated cirrhosis, and with chronic hepatitis C, the agreement between EWGSOP1 and EWGSOP2 classifications was substantial for sarcopenia diagnosis. Concerning EWGSOP and FNIH criteria, a fair agreement and limited overlap were found in these patients.
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Affiliation(s)
- Thais Pontello de Vries
- Sciences Applied to Adult Health Care Post-Graduate Programme, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Aline Marcos Pires
- Sciences Applied to Adult Health Care Post-Graduate Programme, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Kiara Gonçalves Dias Diniz
- Sciences Applied to Adult Health Care Post-Graduate Programme, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | | | - Diego Alves Vieira
- Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Adriana Maria Kakehasi
- Locomotor System Department, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Vivian Marques Miguel Suen
- Laboratório de Estudos em Nutrição, Neurociências e Metabolismo (LANNEM), Department of Internal Medicine, Division of Nutrology, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - Tatiana Bering
- Department of Food and Nutrition, Universidade Federal de Mato Grosso (UFMT), Cuiabá, Mato Grosso, Brazil
| | - Enrico Antonio Colosimo
- Department of Statistics, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Gifone Aguiar Rocha
- Laboratory of Research in Bacteriology, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Kátia de Paula Farah
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | - Luciana Diniz Silva
- Sciences Applied to Adult Health Care Post-Graduate Programme, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
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O'Neal HR, Sheybani R, Kraus CK, Self WH, Shah AM, Thomas CB, Tse HTK, Scoggins R. Cellular host response sepsis test for risk stratification of patients in the emergency department: A pooled analysis. Acad Emerg Med 2024. [PMID: 38643433 DOI: 10.1111/acem.14923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/06/2024] [Accepted: 03/31/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVES Sepsis is one of the most common, costly, and misdiagnosed conditions in U.S. emergency departments (EDs). ED providers often treat on nonspecific signs, subjective suspicion, or presumption of infection, resulting in over- and undertreatment. An increased understanding of host response has opened a new direction for sepsis diagnostics. The IntelliSep test is a U.S. Food and Drug Administration-cleared cellular host response diagnostic that could help distinguish sepsis in ED settings. Our objective was to evaluate the potential of the cellular host response test to expedite appropriate care for patients who present with signs of infection. METHODS We performed a pooled analysis of five adult (≥18 years) cohorts enrolled at seven geographically diverse U.S. sites in separate studies. Structured blinded adjudication was used to classify presence or absence of sepsis, and only patients with high confidence in the adjudicated label were included (n = 1002), defined as patients for whom there was consensus in the determination of sepsis per the Sepsis-3 and severe sepsis per the Sepsis-2 definitions between both the independent adjudication panel and the site-level physician. RESULTS Among patients with signs or suspicion of infection, the test achieved similar or better performance compared to other indicators in identifying patients at high risk for sepsis (specificity > 83%) and significantly superior performance in identifying those at low risk (sensitivity > 92%; 0% sepsis-associated mortality). The test also stratified severity of illness, as shown by 30-day in-hospital mortality (p < 0.001), hospital length of stay (p < 0.01), and use of hospital resources (p < 0.001). CONCLUSIONS Our data suggest that the cellular host response test provides clinically actionable results for patients at both high and low risk for sepsis and provides a rapid, objective means for risk stratification of patients with signs of infection. If integrated into standard of care, the test may help improve outcomes and reduce unnecessary antibiotic use.
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Affiliation(s)
- Hollis R O'Neal
- Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
- Our Lady of the Lake Regional Medical Center, Baton Rouge, Louisiana, USA
| | | | - Chadd K Kraus
- Department of Emergency and Hospital Medicine, Lehigh Valley Health Network, Allentown, Pennsylvania, USA
- University of South Florida Morsani College of Medicine, Tampa, Florida, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt Institute for Clinical and Translational Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ajay M Shah
- Cytovale, Inc., San Francisco, California, USA
| | - Christopher B Thomas
- Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
- Franciscan Missionaries of Our Lady Health System, Baton Rouge, Louisiana, USA
| | | | - Robert Scoggins
- Cytovale, Inc., San Francisco, California, USA
- Pulmonary & Critical Care, Kootenai Health, Coeur d'Alene, Idaho, USA
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Smith KC, Blanchong JA. Detection of lymphoproliferative disease virus in Iowa Wild Turkeys (Meleagris gallopavo): Comparison of two sections of the proviral genome. PLoS One 2024; 19:e0296856. [PMID: 38346036 PMCID: PMC10861079 DOI: 10.1371/journal.pone.0296856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/20/2023] [Indexed: 02/15/2024] Open
Abstract
An accurate diagnostic test is an essential aspect of successfully monitoring and managing wildlife diseases. Lymphoproliferative Disease Virus (LPDV) is an avian retrovirus that was first identified in domestic turkeys in Europe and was first reported in a Wild Turkey (Meleagris gallopavo) in the United States in 2009. It has since been found to be widely distributed throughout North America. The majority of studies have utilized bone marrow and PCR primers targeting a 413-nucleotide sequence of the gag gene of the provirus to detect infection. While prior studies have evaluated the viability of other tissues for LPDV detection (whole blood, spleen, liver, cloacal swabs) none to date have studied differences in detection rates when utilizing different genomic regions of the provirus. This study examined the effectiveness of another section of the provirus, a 335-nucleotide sequence starting in the U3 region of the LTR (Long Terminal Repeat) and extending into the Matrix of the gag region (henceforth LTR), for detecting LPDV. Bone marrow samples from hunter-harvested Wild Turkeys (n = 925) were tested for LPDV with the gag gene and a subset (n = 417) including both those testing positive and those where LPDV was not detected was re-tested with LTR. The positive percent agreement (PPA) was 97.1% (68 of 70 gag positive samples tested positive with LTR) while the negative percent agreement (NPA) was only 68.0% (236 of 347 gag negative samples tested negative with LTR). Cohen's Kappa (κ = 0.402, Z = 10.26, p<0.0001) and the McNemar test (OR = 55.5, p<0.0001) indicated weak agreement between the two gene regions. We found that in Iowa Wild Turkeys use of the LTR region identified LPDV in many samples in which we failed to detect LPDV using the gag region and that LTR may be more appropriate for LPDV surveillance and monitoring. However, neither region of the provirus resulted in perfect detection and additional work is necessary to determine if LTR is more reliable in other geographic regions where LPDV occurs.
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Affiliation(s)
- Kelsey C. Smith
- Department of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of Ameria
| | - Julie A. Blanchong
- Department of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa, United States of Ameria
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Chandna A, Mahajan R, Gautam P, Mwandigha L, Gunasekaran K, Bhusan D, Cheung ATL, Day N, Dittrich S, Dondorp A, Geevar T, Ghattamaneni SR, Hussain S, Jimenez C, Karthikeyan R, Kumar S, Kumar S, Kumar V, Kundu D, Lakshmanan A, Manesh A, Menggred C, Moorthy M, Osborn J, Richard-Greenblatt M, Sharma S, Singh VK, Singh VK, Suri J, Suzuki S, Tubprasert J, Turner P, Villanueva AMG, Waithira N, Kumar P, Varghese GM, Koshiaris C, Lubell Y, Burza S. Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings. Clin Infect Dis 2022; 75:e368-e379. [PMID: 35323932 PMCID: PMC9129107 DOI: 10.1093/cid/ciac224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed. METHODS We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develop and validate a clinical prediction model to rule out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 < 94%; respiratory rate > 30 BPM; SpO2/FiO2 < 400; or death. We specified a priori that each model would contain three clinical parameters (age, sex, and SpO2) and 1 of 7 shortlisted biochemical biomarkers measurable using commercially available rapid tests (C-reactive protein [CRP], D-dimer, interleukin 6 [IL-6], neutrophil-to-lymphocyte ratio [NLR], procalcitonin [PCT], soluble triggering receptor expressed on myeloid cell-1 [sTREM-1], or soluble urokinase plasminogen activator receptor [suPAR]), to ensure the models would be suitable for resource-limited settings. We evaluated discrimination, calibration, and clinical utility of the models in a held-out temporal external validation cohort. RESULTS In total, 426 participants were recruited, of whom 89 (21.0%) met the primary outcome; 257 participants comprised the development cohort, and 166 comprised the validation cohort. The 3 models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72-0.74) and calibration (calibration slopes: 1.01-1.05) in the validation cohort and provided greater utility than a model containing the clinical parameters alone. CONCLUSIONS We present 3 clinical prediction models that could help clinicians identify patients with moderate COVID-19 suitable for community-based management. The models are readily implementable and of particular relevance for locations with limited resources.
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Affiliation(s)
- Arjun Chandna
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
| | | | - Priyanka Gautam
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Lazaro Mwandigha
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | | | - Divendu Bhusan
- Department of Internal Medicine, All India Institute of Medical Sciences, Patna, India
| | - Arthur T L Cheung
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Nicholas Day
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Sabine Dittrich
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Foundation for Innovative Diagnostics, Geneva, Switzerland
| | - Arjen Dondorp
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Tulasi Geevar
- Department of Transfusion Medicine & Immunohaematology, Christian Medical College, Vellore, India
| | | | | | | | - Rohini Karthikeyan
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Sanjeev Kumar
- Department of Cardiothoracic & Vascular Surgery, All India Institute of Medical Sciences, Patna, India
| | - Shiril Kumar
- Department of Virology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India
| | | | - Debasree Kundu
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | | | - Abi Manesh
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Chonticha Menggred
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Mahesh Moorthy
- Department of Clinical Virology, Christian Medical College, Vellore, India
| | | | | | - Sadhana Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Patna, India
| | - Veena K Singh
- Department of Burns & Plastic Surgery, All India Institute of Medical Sciences, Patna, India
| | | | | | - Shuichi Suzuki
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | - Jaruwan Tubprasert
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Paul Turner
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
| | | | - Naomi Waithira
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Pragya Kumar
- Department of Community & Family Medicine, All India Institute of Medical Sciences, Patna, Indiaand
| | - George M Varghese
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Constantinos Koshiaris
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Yoel Lubell
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Sakib Burza
- Médecins Sans Frontières, New Delhi, India
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Kamel NA, Alshahrani MY, Aboshanab KM, El Borhamy MI. Evaluation of the BioFire FilmArray Pneumonia Panel Plus to the Conventional Diagnostic Methods in Determining the Microbiological Etiology of Hospital-Acquired Pneumonia. BIOLOGY 2022; 11:biology11030377. [PMID: 35336751 PMCID: PMC8945136 DOI: 10.3390/biology11030377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/18/2022] [Accepted: 02/23/2022] [Indexed: 01/13/2023]
Abstract
Hospital-acquired pneumonia (HAP) is a substantial public health issue that is associated with high mortality rates and is complicated by an arsenal of microbial etiologies, expressing multidrug-resistant phenotypes, rendering relatively limited therapeutic options. BioFire FilmArray Pneumonia Panel plus (BFPP) is a simple multiplexed PCR system that integrates sample preparation, nucleic acid extraction, amplification, and analysis of microbial etiology, with a turnaround time of about one hour. In comparison to standard culture methods, BFPP is simpler, easier to perform, and can simultaneously detect the most common pathogens involved in lower respiratory tract infections (34 targets). Accordingly, we evaluated the diagnostic performance of the multiplexed BFPP for the rapid detection of 27 clinically relevant respiratory pathogens and 7 genetic markers among 50 HAP cases admitted to the intensive care unit (ICU), who submitted mini-bronchoalveolar (mBAL) specimens. In comparison to standard culture methods, BFPP showed an overall sensitivity of 100% [95% CI; 90-100] and overall specificity of 90% [95% CI; 87.4-92.5] among all the tested bacterial targets. BFPP identified 11 viral targets (22%) among the tested specimens. The BFPP semi-quantitative analysis showed a concordance rate of 47.4% among positive culture specimens. For the investigation of the antibiotic resistance genes, BFPP showed a positive percent agreement (PPA), a negative percent agreement (NPA), and an overall percent agreement (OPA), reaching 97% [95% CI; 90-100], 95% [95% CI; 91.5-97], and 95% [95% CI; 93-97], respectively, with standard antibiotic sensitivity testing. In conclusion, BFPP has the potential to enhance the rapid microbiological diagnosis of HAP cases, and could aid in tailoring appropriate antibiotic therapies.
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Affiliation(s)
- Noha A. Kamel
- Department of Microbiology, Faculty of Pharmacy, Misr International University (MIU), Cairo P.O. Box 19648, Egypt; (N.A.K.); (M.I.E.B.)
| | - Mohammad Y. Alshahrani
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha 9088, Saudi Arabia;
| | - Khaled M. Aboshanab
- Department of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Organization of African Unity St., Abbassia, Cairo P.O. Box 11566, Egypt
- Correspondence: ; Tel.:+20-1007582620
| | - Mervat I. El Borhamy
- Department of Microbiology, Faculty of Pharmacy, Misr International University (MIU), Cairo P.O. Box 19648, Egypt; (N.A.K.); (M.I.E.B.)
- International Medical Center, Clinical Microbiology Laboratory, Cairo P.O. Box 11451, Egypt
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Poynard T, Paradis V, Mullaert J, Deckmyn O, Gault N, Marcault E, Manchon P, Si Mohammed N, Parfait B, Ibberson M, Gautier J, Boitard C, Czernichow S, Larger E, Drane F, Castille JM, Peta V, Brzustowski A, Terris B, Vallet‐Pichard A, Roulot D, Laouénan C, Bedossa P, Castera L, Pol S, Valla D. Prospective external validation of a new non-invasive test for the diagnosis of non-alcoholic steatohepatitis in patients with type 2 diabetes. Aliment Pharmacol Ther 2021; 54:952-966. [PMID: 34398492 PMCID: PMC8518776 DOI: 10.1111/apt.16543] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/14/2021] [Accepted: 07/11/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND One of the unmet needs in patients with type 2 diabetes mellitus (T2DM) is the prediction of non-alcoholic liver disease by non-invasive blood tests, for each of the three main histological features, fibrosis, non-alcoholic steatohepatitis (NASH) and steatosis. AIMS To validate externally the performances of a recent panel, Nash-FibroTest, for the assessment of the severity of fibrosis stages, NASH grades and steatosis grades. METHODS We prospectively analysed 272 patients with T2DM. Standard definitions of stages and grades were used, and analyses were centralised and blinded. The performances of the FibroTest, NashTest-2 and SteatoTest-2 were assessed using the Obuchowski measure (OM), the main outcome recommended as a summary measure of accuracy includeing all pairwise stages and grades comparisons, which is not provided par the extensively used binary area under the ROC curve. RESULTS The diagnostic performance of each component of the panel was significant. OM (SE; significance) of the FibroTest, the NashTest-2 and the SteatoTest-2 was 0.862 (0.012; P < 0.001), 0.827 (0.015; P < 0.001) and 0.794 (0.020; P < 0.01), respectively. For ballooning and lobular inflammation, OM was 0.794 (0.021; P < 0.001) and 0.821 (0.017; P < 0.001), respectively. In a post hoc analysis the FibroTest outperformed VCTE by 4.1% (2.5-6.5; P < 0.001) for reliability, with a non-significant difference for OM for fibrosis staging, 0.859 (0.012) for FibroTest vs 0.870 (0.009) for VCTE. CONCLUSIONS From a single blood sample, the panel provides non-invasive diagnosis of the stages of fibrosis, and the grades of NASH and steatosis in patients with T2DM. TRIAL REGISTRATION NUMBER NCT03634098.
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Chandna A, Aderie EM, Ahmad R, Arguni E, Ashley EA, Cope T, Dat VQ, Day NPJ, Dondorp AM, Illanes V, De Jesus J, Jimenez C, Kain K, Suy K, Koshiaris C, Lasry E, Mayxay M, Mondal D, Perera R, Pongvongsa T, Rattanavong S, Rekart M, Richard-Greenblatt M, Shomik M, Souvannasing P, Tallo V, Turner C, Turner P, Waithira N, Watson JA, Yosia M, Burza S, Lubell Y. Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study. BMJ Open 2021; 11:e045826. [PMID: 33495264 PMCID: PMC7839891 DOI: 10.1136/bmjopen-2020-045826] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/03/2020] [Accepted: 01/11/2021] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION In rural and difficult-to-access settings, early and accurate recognition of febrile children at risk of progressing to serious illness could contribute to improved patient outcomes and better resource allocation. This study aims to develop a prognostic clinical prediction tool to assist community healthcare providers identify febrile children who might benefit from referral or admission for facility-based medical care. METHODS AND ANALYSIS This prospective observational study will recruit at least 4900 paediatric inpatients and outpatients under the age of 5 years presenting with an acute febrile illness to seven hospitals in six countries across Asia. A venous blood sample and nasopharyngeal swab is collected from each participant and detailed clinical data recorded at presentation, and each day for the first 48 hours of admission for inpatients. Multianalyte assays are performed at reference laboratories to measure a panel of host biomarkers, as well as targeted aetiological investigations for common bacterial and viral pathogens. Clinical outcome is ascertained on day 2 and day 28.Presenting syndromes, clinical outcomes and aetiology of acute febrile illness will be described and compared across sites. Following the latest guidance in prediction model building, a prognostic clinical prediction model, combining simple clinical features and measurements of host biomarkers, will be derived and geographically externally validated. The performance of the model will be evaluated in specific presenting clinical syndromes and fever aetiologies. ETHICS AND DISSEMINATION The study has received approval from all relevant international, national and institutional ethics committees. Written informed consent is provided by the caretaker of all participants. Results will be shared with local and national stakeholders, and disseminated via peer-reviewed open-access journals and scientific meetings. TRIAL REGISTRATION NUMBER NCT04285021.
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Affiliation(s)
- Arjun Chandna
- Angkor Hospital for Children, Cambodia Oxford Medical Research Unit, Siem Reap, Cambodia
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Endashaw M Aderie
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Riris Ahmad
- Centre for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Daerah Istimewa Yogyakart, Indonesia
| | - Eggi Arguni
- Centre for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Daerah Istimewa Yogyakart, Indonesia
| | - Elizabeth A Ashley
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
- Microbiology Department, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Vientiane, Vientiane, Lao People's Democratic Republic
| | - Tanya Cope
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | | | - Nicholas P J Day
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Arjen M Dondorp
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Victor Illanes
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Joanne De Jesus
- Clinical Trials, Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Carolina Jimenez
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Kevin Kain
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Keang Suy
- Angkor Hospital for Children, Cambodia Oxford Medical Research Unit, Siem Reap, Cambodia
- Angkor Hospital for Children, Siem Reap, Siem Reap, Cambodia
| | | | - Estrella Lasry
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Mayfong Mayxay
- Microbiology Department, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Vientiane, Vientiane, Lao People's Democratic Republic
- Faculty of Postgraduate Studies, University of Health Sciences, Vientiane, Lao People's Democratic Republic
| | - Dinesh Mondal
- Centre for Nutrition and Food Security (CNFS), icddr,b, Dhaka, Dhaka, Bangladesh
| | - Rafael Perera
- Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Tiengkham Pongvongsa
- Microbiology Department, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Vientiane, Vientiane, Lao People's Democratic Republic
- Savannakhet Provincial Health Department, Savannakhet, Lao People's Democratic Republic
| | - Sayaphet Rattanavong
- Microbiology Department, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Vientiane, Vientiane, Lao People's Democratic Republic
| | - Michael Rekart
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | | | - Mohammad Shomik
- Centre for Nutrition and Food Security (CNFS), icddr,b, Dhaka, Dhaka, Bangladesh
| | | | - Veronica Tallo
- Clinical Trials, Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | - Claudia Turner
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
- Angkor Hospital for Children, Siem Reap, Siem Reap, Cambodia
| | - Paul Turner
- Angkor Hospital for Children, Cambodia Oxford Medical Research Unit, Siem Reap, Cambodia
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Naomi Waithira
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - James A Watson
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Mikhael Yosia
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Sakib Burza
- Médecins Sans Frontières Operational Centre Barcelona, Barcelona, Spain
| | - Yoel Lubell
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, Oxfordshire, UK
- Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
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Sieciński S, Kostka PS, Tkacz EJ. Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications. SENSORS (BASEL, SWITZERLAND) 2020; 20:E6675. [PMID: 33266401 PMCID: PMC7700364 DOI: 10.3390/s20226675] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/13/2020] [Accepted: 11/20/2020] [Indexed: 02/07/2023]
Abstract
Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of the cardiac cycle. In this review, we describe the summary of the history, definition, measurements, waveform description and applications of gyrocardiography. The review was conducted on about 55 works analyzed between November 2016 and September 2020. The aim of this literature review was to summarize the current state of knowledge in gyrocardiography, especially the definition, waveform description, the physiological and physical sources of the signal and its applications. Based on the analyzed works, we present the definition of GCG as a technique for registration and analysis of rotational component of local cardiac vibrations, waveform annotation, several applications of the gyrocardiography, including, heart rate estimation, heart rate variability analysis, hemodynamics analysis, and classification of various cardiac diseases.
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Affiliation(s)
- Szymon Sieciński
- Department of Biosensors and Processing of Biomedical Signals, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland; (P.S.K.); (E.J.T.)
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9
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Althaus T, Thaipadungpanit J, Greer RC, Swe MMM, Dittrich S, Peerawaranun P, Smit PW, Wangrangsimakul T, Blacksell S, Winchell JM, Diaz MH, Day NPJ, Smithuis F, Turner P, Lubell Y. Causes of fever in primary care in Southeast Asia and the performance of C-reactive protein in discriminating bacterial from viral pathogens. Int J Infect Dis 2020; 96:334-342. [PMID: 32437937 PMCID: PMC7211754 DOI: 10.1016/j.ijid.2020.05.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/01/2020] [Accepted: 05/03/2020] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES This study investigated causes of fever in the primary levels of care in Southeast Asia, and evaluated whether C-reactive protein (CRP) could distinguish bacterial from viral pathogens. METHODS Blood and nasopharyngeal swab specimens were taken from children and adults with fever (>37.5 °C) or history of fever (<14 days) in Thailand and Myanmar. RESULTS Of 773 patients with at least one blood or nasopharyngeal swab specimen collected, 227 (29.4%) had a target organism detected. Influenza virus type A was detected in 85/227 cases (37.5%), followed by dengue virus (30 cases, 13.2%), respiratory syncytial virus (24 cases, 10.6%) and Leptospira spp. (nine cases, 4.0%). Clinical outcomes were similar between patients with a bacterial or a viral organism, regardless of antibiotic prescription. CRP was higher among patients with a bacterial organism compared with those with a viral organism (median 18 mg/L, interquartile range [10-49] versus 10 mg/L [≤8-22], p = 0.003), with an area under the curve of 0.65 (95% CI 0.55-0.75). CONCLUSIONS Serious bacterial infections requiring antibiotics are an exception rather than the rule in the first line of care. CRP testing could assist in ruling out such cases in settings where diagnostic uncertainty is high and routine antibiotic prescription is common. The original CRP randomised controlled trial was registered with ClinicalTrials.gov, number NCT02758821.
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Affiliation(s)
- Thomas Althaus
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.
| | - Janjira Thaipadungpanit
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Rachel C Greer
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Myo Maung Maung Swe
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Myanmar-Oxford Clinical Research Unit (MOCRU), Medical Action Myanmar (MAM), Yangon, Myanmar
| | - Sabine Dittrich
- Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland
| | - Pimnara Peerawaranun
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Pieter W Smit
- Maasstad Ziekenhuis Hospital, Department of Medical Microbiology, Rotterdam, The Netherlands; Public Health Laboratory (GGD), Amsterdam, The Netherlands
| | - Tri Wangrangsimakul
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Stuart Blacksell
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Jonas M Winchell
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Maureen H Diaz
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nicholas P J Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Frank Smithuis
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Myanmar-Oxford Clinical Research Unit (MOCRU), Medical Action Myanmar (MAM), Yangon, Myanmar
| | - Paul Turner
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Cambodia-Oxford Medical Research Unit (COMRU), Angkor Hospital for Children, Siem Reap, Cambodia
| | - Yoel Lubell
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
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McHugh LC, Snyder K, Yager TD. Correction: The effect of uncertainty in patient classification on diagnostic performance estimations. PLoS One 2019; 14:e0218492. [PMID: 31185061 PMCID: PMC6559664 DOI: 10.1371/journal.pone.0218492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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