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Steckiewicz KP, Wujtewicz MA, Okrągły M, Aszkiełowicz A, Dąbrowska M, Owczuk R. Clinical usefulness of a host signature based on TRAIL, IP10, and CRP (MeMed BV) as infection biomarkers in intensive care units' patients. A retrospective observational study. Clin Biochem 2024; 126:110748. [PMID: 38490312 DOI: 10.1016/j.clinbiochem.2024.110748] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
INTRODUCTION Infection complications are common in intensive care unit patients, and early detection remains a diagnostic challenge. Procalcitonin (PCT) and C-reactive protein (CRP) are commonly used biomarkers. A novel diagnostic approach focuses on the host immune response. One of the approaches, the MMBV index, is based on measuring in a blood sample three parameters: (i) tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), (ii) interferon-γ-induced protein-10 (IP10), and (iii) CRP. This study aimed to evaluate the usefulness of MMBV as an infection biomarker in an ICU cohort. PATIENTS AND METHODS Forty-six patients treated in the University Clinical Center in Gdansk ICU were enrolled in the study, and their clinical data were retrospectively analyzed. In total, 91 MMBV results were analyzed. RESULTS Most of the patients had high MMBV values, suggesting bacterial etiology. A weak correlation between PCT and MMBV was observed, and no correlation between parameter changes was noted. There was a correlation between CRP/MMBV and between changes in CRP / changes in MMBV. CONCLUSION It seems that MMBV is not valuable for ICU patients neither in diagnosing nor monitoring infection. Higher MMBV values may predict unfavorable treatment outcomes.
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Affiliation(s)
- Karol P Steckiewicz
- Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland.
| | - Magdalena A Wujtewicz
- Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Michał Okrągły
- Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Aleksander Aszkiełowicz
- Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Radosław Owczuk
- Department of Anesthesiology and Intensive Therapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
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Klein A, Shapira M, Lipman-Arens S, Bamberger E, Srugo I, Chistyakov I, Stein M. Diagnostic Accuracy of a Real-Time Host-Protein Test for Infection. Pediatrics 2023; 152:e2022060441. [PMID: 37916266 DOI: 10.1542/peds.2022-060441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/11/2023] [Indexed: 11/03/2023] Open
Abstract
OBJECTIVE Determining infection etiology can be difficult because viral and bacterial diseases often manifest similarly. A host protein test that computationally integrates the circulating levels of TNF-related apoptosis-induced ligand, interferon γ-induced protein-10, and C-reactive protein to differentiate between bacterial and viral infection (called MMBV) demonstrated high performance in multiple prospective clinical validation studies. Here, MMBV's diagnostic accuracy is evaluated in febrile children for whom physicians were uncertain about etiology when applied at the physician's discretion. METHODS Patients aged 3 months to 18 years were retrospectively recruited (NCT03075111; SPIRIT study; 2014-2017). Emergency department physician's etiological suspicion and certainty level were recorded in a questionnaire at blood-draw. MMBV results are based on predefined score thresholds: viral/non-bacterial etiology (0 ≤ score <35), equivocal (35 ≤ score ≤65), and bacterial or coinfection (65 < score ≤100). Reference standard etiology (bacterial/viral/indeterminate) was adjudicated by 3 independent experts based on all available patient data. Experts were blinded to MMBV. MMBV and physician's etiological suspicion were assessed against the reference standard. RESULTS Of 3003 potentially eligible patients, the physicians were uncertain about infection etiology for 736 of the cases assigned a reference standard (128 bacterial, 608 viral). MMBV performed with sensitivity 89.7% (96/107; 95% confidence interval 82.4-94.3) and specificity 92.6% (498/538; 95% confidence interval 90.0-94.5), significantly outperforming physician's etiological suspicion (sensitivity 49/74 = 66.2%, specificity 265/368 = 72.0%; P < .0001). MMBV equivocal rate was 12.4% (91/736). CONCLUSIONS MMBV was more accurate in determining etiology compared with physician's suspicion and had high sensitivity and specificity according to the reference standard.
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Affiliation(s)
- Adi Klein
- Pediatrics Department
- Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Ma'anit Shapira
- Laboratory Division
- Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Shelly Lipman-Arens
- Infectious Diseases, Hillel Yaffe Medical Center, Hadera, Israel
- Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Ellen Bamberger
- Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- Pediatrics Department
| | | | | | - Michal Stein
- Pediatric Infectious Diseases Unit, Sheba Medical Center, Edmond and Lily Safra Children's Hospital, Tel-Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Kalmovich B, Rahamim-Cohen D, Shapiro Ben David S. Impact on Patient Management of a Novel Host Response Test for Distinguishing Bacterial and Viral Infections: Real World Evidence from the Urgent Care Setting. Biomedicines 2023; 11:biomedicines11051498. [PMID: 37239167 DOI: 10.3390/biomedicines11051498] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/13/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Antibiotic overuse and underuse are prevalent in urgent care settings, driven in part by diagnostic uncertainty. A host-based test for distinguishing bacterial and viral infections (MeMed BV) has been clinically validated previously. Here we examined how BV impacts antibiotic prescription in a real-world setting. The intention to treat with antibiotics before the receipt of a BV result was compared with practice after the receipt of a BV result at three urgent care centers. The analysis included 152 patients, 57.9% children and 50.7% female. In total, 131 (86.2%) had a bacterial or viral BV result. Physicians were uncertain about prescription for 38 (29.0%) patients and for 30 (78.9%) of these cases, subsequently acted in accordance with the BV result. Physicians intended to prescribe antibiotics to 39 (29.8%) patients, of whom 17 (43.6%) had bacterial BV results. Among the remaining 22 patients with viral BV results, antibiotic prescriptions were reduced by 40.9%. Overall, the physician prescribed in accordance with BV results in 81.7% of all cases (p < 0.05). In total, the physicians reported that BV supported or altered their decision making in 87.0% of cases (p < 0.05). BV impacts patient management in real-world settings, supporting appropriate antibiotic use.
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Affiliation(s)
- Boaz Kalmovich
- Health Division, Maccabi Healthcare Services, Tel Aviv 6812509, Israel
| | | | - Shirley Shapiro Ben David
- Health Division, Maccabi Healthcare Services, Tel Aviv 6812509, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
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Chokkalla AK, Tam E, Liang R, Cruz AT, Devaraj S. Validation of a Multi-Analyte Immunoassay for Distinguishing Bacterial vs. Viral Infections in a Pediatric Cohort. Clin Chim Acta 2023; 546:117387. [PMID: 37201742 DOI: 10.1016/j.cca.2023.117387] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/10/2023] [Accepted: 05/03/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Clinical presentation of viral and bacterial infections or co-infections overlaps significantly. Pathogen identification is the gold standard for appropriate treatment. Recently, FDA cleared a multivariate index test called MeMed-BV that distinguishes viral and bacterial infections based on the differential expression of 3 host proteins. Here, we sought to validate MeMed-BV immunoassay on MedKey analyzer in our pediatric hospital following guidelines from the Clinical and Laboratory Standards Institute. METHODS The analytical performance of the MeMed-BV test was evaluated with precision (intra- and inter-assay), method comparison and interference studies. The clinical performance (diagnostic sensitivity and specificity) of the MeMed-BV test was assessed by conducting a retrospective cohort study (n=60) using plasma samples from pediatric patients with acute febrile illness who visited the emergency department of our hospital. RESULTS MeMed-BV showed acceptable intra- and inter-assay precision with a range of <3 score units in both the high-score bacterial as well as the low-score viral controls. Diagnostic accuracy studies revealed a sensitivity of 94% and specificity of 88% for identifying bacterial infections or co-infections. Our MeMed-BV results showed an excellent agreement (R=0.998) with manufacturer's laboratory data and compared well with ELISA studies. Gross hemolysis and icterus did not affect the assay, but gross lipemia showed a considerable bias in samples with moderate likelihood of viral infection. Importantly, the MeMed-BV test performed better than routinely measured infection-related biomarkers like white blood cell counts, procalcitonin and C-reactive protein in classifying bacterial infections. CONCLUSION MeMed-BV immunoassay demonstrated acceptable analytical performance and is reliable for distinguishing viral and bacterial infections or co-infections in pediatric patients. Future studies are warranted to examine the clinical utility, especially with respect to reducing the need for blood cultures and time to treatment for the patient.
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Affiliation(s)
- Anil K Chokkalla
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA; Department of Pathology, Texas Children's Hospital, Houston, TX, USA
| | - Estella Tam
- Department of Pathology, Texas Children's Hospital, Houston, TX, USA
| | - Rommel Liang
- Department of Pathology, Texas Children's Hospital, Houston, TX, USA
| | - Andrea T Cruz
- Divisions of Emergency Medicine and Infectious Diseases, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Sridevi Devaraj
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA; Department of Pathology, Texas Children's Hospital, Houston, TX, USA.
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Tang KS, Tsai CM, Cheng MC, Huang YH, Chang CH, Yu HR. Salivary Biomarkers to Differentiate between Streptococcus pneumoniae and Influenza A Virus-Related Pneumonia in Children. Diagnostics (Basel) 2023; 13:diagnostics13081468. [PMID: 37189569 DOI: 10.3390/diagnostics13081468] [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: 03/15/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Community-acquired pneumonia (CAP) is common among children and can be fatal in certain conditions. In children, CAP can be caused by viral or bacterial infections. Identification of pathogens can help select appropriate therapeutic strategies. Salivary analysis may be a potential diagnostic tool because it is noninvasive, patient-friendly, and easy to perform in children. A prospective study was conducted in children with pneumonia admitted to a hospital. Salivary samples from patients with definite Streptococcus pneumoniae and influenza A strains were used for gel-free (isobaric tag for relative and absolute quantitation (iTRAQ)) proteomics. No statistically significant difference was detected in salivary CRP levels between Streptococcus pneumoniae and influenza A pneumonia in children. Several potential salivary biomarkers were identified using gel-free iTRAQ proteomics to differentiate pneumonia from Streptococcus pneumoniae or influenza A virus infections in pediatric patients. ELISA validated that Streptococcus pneumoniae group has a higher abundance of salivary alpha 1-antichymotrypsin than those in the influenza A group. Whether these salivary biomarkers can be used to distinguish other bacteria from viral pneumonia requires further verification.
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Affiliation(s)
- Kuo-Shu Tang
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Chih-Min Tsai
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Ming-Chou Cheng
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Ying-Hsien Huang
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- Graduate Institute of Clinical Medical Sciences, Chang Gung University College of Medicine, Taoyuan City 33302, Taiwan
| | - Chih-Hao Chang
- Department of Respiratory Therapy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Hong-Ren Yu
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- Graduate Institute of Clinical Medical Sciences, Chang Gung University College of Medicine, Taoyuan City 33302, Taiwan
- Department of Respiratory Therapy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
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Houshmand H, Porta C, Pradelli L, Pinciroli M, Sotgiu G. Cost-Impact Analysis of a Novel Diagnostic Test to Assess Community-Acquired Pneumonia Etiology in the Emergency Department Setting: A Multi-Country European Study. Int J Environ Res Public Health 2023; 20:3853. [PMID: 36900863 PMCID: PMC10001249 DOI: 10.3390/ijerph20053853] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND We aimed to estimate the economic and clinical impacts of a novel diagnostic test called LIAISON® MeMed BV® (LMMBV), which can differentiate bacterial from viral infections, in patients with community-acquired pneumonia (CAP) in emergency departments. METHODS A cost-impact simulation model was developed to investigate the financial consequences of the introduction of LMMBV into the standard of care (SOC) diagnostic process in Italy, Germany, and Spain. Clinical outcomes were expressed as antibiotic patients and days saved, reduced hospital admissions, and shortened hospital length of stay (LOS). Cost savings were evaluated from the perspectives of third-party payers and hospitals. A deterministic sensitivity analysis (DSA) was carried out. RESULTS LMMBV was associated with a reduction in antibiotic prescriptions, treatment duration, and LOS. Furthermore, the adoption of LMMBV would allow savings per patient up to EUR 364 and EUR 328 for hospitals and EUR 91 and EUR 59 for payers in Italy and Germany, respectively. In Spain, average savings per patient could reach up to EUR 165 for both payers and hospitals. Savings were most sensitive to test accuracy, with DSA confirming the robustness of the results. CONCLUSIONS Combining LMMBV with the current SOC diagnostic process is expected to provide clinical and economic benefits in Italy, Germany, and Spain.
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Affiliation(s)
| | - Camilla Porta
- AdRes Health Economics and Outcomes Research, 10121 Torino, Italy
| | - Lorenzo Pradelli
- AdRes Health Economics and Outcomes Research, 10121 Torino, Italy
| | | | - Giovanni Sotgiu
- Scienze Mediche Chirurgiche E Sperimentali, Università degli Studi di Sassari, 07100 Sassari, Italy
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Shojaei M, Chen UI, Midic U, Thair S, Teoh S, McLean A, Sweeney TE, Thompson M, Liesenfeld O, Khatri P, Tang B. Multisite validation of a host response signature for predicting likelihood of bacterial and viral infections in patients with suspected influenza. Eur J Clin Invest 2023; 53:e13957. [PMID: 36692131 DOI: 10.1111/eci.13957] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/08/2022] [Accepted: 01/05/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND Indiscriminate use of antimicrobials and antimicrobial resistance is a public health threat. IMX-BVN-1, a 29-host mRNA classifier, provides two separate scores that predict likelihoods of bacterial and viral infections in patients with suspected acute infections. We validated the performance of IMX-BVN-1 in adults attending acute health care settings with suspected influenza. METHOD We amplified 29-host response genes in RNA extracted from blood by NanoString nCounter. IMX-BVN-1 calculated two scores to predict probabilities of bacterial and viral infections. Results were compared against the infection status (no infection; highly probable/possible infection; confirmed infection) determined by clinical adjudication. RESULTS Amongst 602 adult patients (74.9% ED, 16.9% ICU, 8.1% outpatients), 7.6% showed in-hospital mortality and 15.5% immunosuppression. Median IMX-BVN-1 bacterial and viral scores were higher in patients with confirmed bacterial (0.27) and viral (0.62) infections than in those without bacterial (0.08) or viral (0.21) infection, respectively. The AUROC distinguishing bacterial from nonbacterial illness was 0.81 and 0.87 when distinguishing viral from nonviral illness. The bacterial top quartile's positive likelihood ratio (LR) was 4.38 with a rule-in specificity of 88%; the bacterial bottom quartile's negative LR was 0.13 with a rule-out sensitivity of 96%. Similarly, the viral top quartile showed an infinite LR with rule-in specificity of 100%; the viral bottom quartile had a LR of 0.22 and a rule-out sensitivity of 85%. CONCLUSION IMX-BVN-1 showed high accuracy for differentiating bacterial and viral infections from noninfectious illness in patients with suspected influenza. Clinical utility of IMX-BVN will be validated following integration into a point of care system.
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Affiliation(s)
- Maryam Shojaei
- Department of Medicine, Sydney Medical School Nepean, Nepean Hospital, University of Sydney, Penrith, New South Wales, Australia.,Department of Intensive Care Medicine, Nepean Hospital, Penrith, New South Wales, Australia.,Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Uan-I Chen
- Inflammatix, Inc., Sunnyvale, California, USA
| | - Uros Midic
- Inflammatix, Inc., Sunnyvale, California, USA
| | | | - Sally Teoh
- Department of Intensive Care Medicine, Nepean Hospital, Penrith, New South Wales, Australia
| | - Anthony McLean
- Department of Intensive Care Medicine, Nepean Hospital, Penrith, New South Wales, Australia
| | | | | | | | | | - Benjamin Tang
- Department of Intensive Care Medicine, Nepean Hospital, Penrith, New South Wales, Australia.,Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Westmead, New South Wales, Australia
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Ko ER, Tsalik EL. A New Era in Host Response Biomarkers to Guide Precision Medicine for Infectious Diseases. J Pediatric Infect Dis Soc 2022; 11:477-479. [PMID: 35964237 DOI: 10.1093/jpids/piac081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/21/2022] [Indexed: 11/14/2022]
Affiliation(s)
- Emily R Ko
- Section of Hospital Medicine, Division of General Internal Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Ephraim L Tsalik
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.,Danaher Diagnostics, Washington DC, USA
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Portefaix A, Pons S, Ouziel A, Basmaci R, Rebaud P, Delafay M, Generenaz L, Oriol G, Meunier B, Abbas-chorfa F, Trouillet-assant S, Ginhoux T, Subtil F, Gillet Y, Brengel-pesce K, Javouhey E. Performance Evaluation of Host Biomarker Combinations for the Diagnosis of Serious Bacterial Infection in Young Febrile Children: A Double-Blind, Multicentre, Observational Study. J Clin Med 2022; 11:6563. [DOI: 10.3390/jcm11216563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/30/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022] Open
Abstract
The diagnosis of serious bacterial infection (SBI) in young febrile children remains challenging. This prospective, multicentre, observational study aimed to identify new protein marker combinations that can differentiate a bacterial infection from a viral infection in 983 children, aged 7 days–36 months, presenting with a suspected SBI at three French paediatric emergency departments. The blood levels of seven protein markers (CRP, PCT, IL-6, NGAL, MxA, TRAIL, IP-10) were measured at enrolment. The patients received the standard of care, blinded to the biomarker results. An independent adjudication committee assigned a bacterial vs. viral infection diagnosis based on clinical data, blinded to the biomarker results. Computational modelling was applied to the blood levels of the biomarkers using independent training and validation cohorts. Model performances (area under the curve (AUC), positive and negative likelihood ratios (LR+ and LR–)) were calculated and compared to those of the routine biomarkers CRP and PCT. The targeted performance for added value over CRP or PCT was LR+ ≥ 5.67 and LR− ≤ 0.5. Out of 652 analysed patients, several marker combinations outperformed CRP and PCT, although none achieved the targeted performance criteria in the 7 days–36 months population. The models seemed to perform better in younger (7–91 day-old) patients, with the CRP/MxA/TRAIL combination performing best (AUC 0.895, LR+ 10.46, LR− 0.16). Although computational modelling using combinations of bacterial- and viral-induced host-protein markers is promising, further optimisation is necessary to improve SBI diagnosis in young febrile children.
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Hainrichson M, Avni N, Eden E, Feigin P, Gelman A, Halabi S, Hartog E, Hulten KG, Jalal A, Kalfon R, Lamberth L, Lewis S, Navon R, Oved K, Raz-Pasteur A, Senderovich N, Shaham O, Shraga M, Simon E, Sommer LM, Zarchin O, Carroll KC, Gottlieb TM. A point-of-need platform for rapid measurement of a host-protein score that differentiates bacterial from viral infection: analytical evaluation. Clin Biochem 2022:S0009-9120(22)00115-1. [PMID: 35487256 DOI: 10.1016/j.clinbiochem.2022.04.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/30/2022] [Accepted: 04/24/2022] [Indexed: 12/20/2022]
Abstract
The objective was to evaluate the analytical performance of a new point-of-need platform for rapid and accurate measurement of a host-protein score that differentiates between bacterial and viral infection. The system comprises a dedicated test cartridge (MeMed BV®) and an analyzer (MeMed Key®). In each run, three host proteins (TRAIL, IP-10 and CRP) are measured quantitatively and a combinational score (0-100) computed that indicates the likelihood of Bacterial versus Viral infection (BV score). Serum samples collected from patients with acute infection representing viral (0 ≤ score < 35), equivocal (35 ≤ score ≤ 65), or bacterial (65 < score ≤ 100) scores based on pre-defined score cutoffs were employed for the analytical evaluation studies as well as samples from healthy individuals. To assess reproducibility, triplicate runs were conducted at 3 different sites, on 2 analyzers per site over 5 non-consecutive days. Lower limit of quantitation (LLoQ) and analytical measurement range were established utilizing recombinant proteins. Sample stability was evaluated using patient samples representative of BV score range (0-100). MeMed Key® and MeMed BV® passed the acceptance criteria for each study. In the reproducibility study, TRAIL, IP-10 and CRP measurements ranged with coefficient of variation from 9.7 to 12.7%, 4.6 to 6.2% and 5.0 to 11.6%, respectively. LLoQ concentrations were established as 15 pg/mL, 100 pg/mL and 1 mg/L for TRAIL, IP-10 and CRP, respectively. To date, sample stability when frozen is 14 months. In summary, the analytical performance reported here, along with diagnostic accuracy established in the Apollo clinical validation study (NCT04690569), supports that MeMed BV® run on MeMed Key® can serve as a tool to assist clinicians in differentiating between bacterial and viral infection.
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Li Y, van Houten CB, Boers SA, Jansen R, Cohen A, Engelhard D, Kraaij R, Hiltemann SD, Ju J, Fernández D, Mankoc C, González E, de Waal WJ, de Winter-de Groot KM, Wolfs TFW, Meijers P, Luijk B, Oosterheert JJ, Sankatsing SUC, Bossink AWJ, Stein M, Klein A, Ashkar J, Bamberger E, Srugo I, Odeh M, Dotan Y, Boico O, Etshtein L, Paz M, Navon R, Friedman T, Simon E, Gottlieb TM, Pri-Or E, Kronenfeld G, Oved K, Eden E, Stubbs AP, Bont LJ, Hays JP. The diagnostic value of nasal microbiota and clinical parameters in a multi-parametric prediction model to differentiate bacterial versus viral infections in lower respiratory tract infections. PLoS One 2022; 17:e0267140. [PMID: 35436301 PMCID: PMC9015155 DOI: 10.1371/journal.pone.0267140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 04/04/2022] [Indexed: 11/18/2022] Open
Abstract
Background The ability to accurately distinguish bacterial from viral infection would help clinicians better target antimicrobial therapy during suspected lower respiratory tract infections (LRTI). Although technological developments make it feasible to rapidly generate patient-specific microbiota profiles, evidence is required to show the clinical value of using microbiota data for infection diagnosis. In this study, we investigated whether adding nasal cavity microbiota profiles to readily available clinical information could improve machine learning classifiers to distinguish bacterial from viral infection in patients with LRTI. Results Various multi-parametric Random Forests classifiers were evaluated on the clinical and microbiota data of 293 LRTI patients for their prediction accuracies to differentiate bacterial from viral infection. The most predictive variable was C-reactive protein (CRP). We observed a marginal prediction improvement when 7 most prevalent nasal microbiota genera were added to the CRP model. In contrast, adding three clinical variables, absolute neutrophil count, consolidation on X-ray, and age group to the CRP model significantly improved the prediction. The best model correctly predicted 85% of the ‘bacterial’ patients and 82% of the ‘viral’ patients using 13 clinical and 3 nasal cavity microbiota genera (Staphylococcus, Moraxella, and Streptococcus). Conclusions We developed high-accuracy multi-parametric machine learning classifiers to differentiate bacterial from viral infections in LRTI patients of various ages. We demonstrated the predictive value of four easy-to-collect clinical variables which facilitate personalized and accurate clinical decision-making. We observed that nasal cavity microbiota correlate with the clinical variables and thus may not add significant value to diagnostic algorithms that aim to differentiate bacterial from viral infections.
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Affiliation(s)
- Yunlei Li
- Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Chantal B. van Houten
- Division of Paediatric Immunology and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Stefan A. Boers
- Department of Medical Microbiology and Infectious Diseases, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | | | - Dan Engelhard
- Division of Paediatric Infectious Disease Unit, Hadassah-Hebrew University Medical Centre, Jerusalem, Israel
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Saskia D. Hiltemann
- Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jie Ju
- Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | | | | | - Wouter J. de Waal
- Department of Paediatrics, Diakonessenhuis, Utrecht, The Netherlands
| | - Karin M. de Winter-de Groot
- Department of Paediatric Respiratory Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Tom F. W. Wolfs
- Division of Paediatric Immunology and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Pieter Meijers
- Department of Paediatrics, Gelderse Vallei Hospital, Ede, The Netherlands
| | - Bart Luijk
- Department of Respiratory Medicine, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan Jelrik Oosterheert
- Department of Internal Medicine and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Aik W. J. Bossink
- Department of Respiratory Medicine, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Michal Stein
- Department of Paediatrics, Hillel Yaffe Medical Centre, Hadera, Israel
| | - Adi Klein
- Department of Paediatrics, Hillel Yaffe Medical Centre, Hadera, Israel
| | - Jalal Ashkar
- Department of Paediatrics, Hillel Yaffe Medical Centre, Hadera, Israel
| | - Ellen Bamberger
- MeMed, Tirat Carmel, Israel
- Department of Paediatrics, Bnai Zion Medical Centre, Haifa, Israel
| | - Isaac Srugo
- Department of Paediatrics, Bnai Zion Medical Centre, Haifa, Israel
| | - Majed Odeh
- Department of Internal Medicine A, Bnai Zion Medical Centre, Haifa, Israel
| | - Yaniv Dotan
- Pulmonary Division, Rambam Health Care Campus, Haifa, Israel
| | | | | | | | | | | | | | | | | | | | | | | | - Andrew P. Stubbs
- Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Louis J. Bont
- Division of Paediatric Immunology and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - John P. Hays
- Department of Medical Microbiology and Infectious Diseases, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
- * E-mail:
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Stein M, Shapira M, Bamberger E, Chistyakov I, Dumov D, Srugo I, Stein M, Bont LJ, Klein A. BV score differentiates viral from bacterial-viral co-infection in adenovirus PCR positive children. Front Pediatr 2022; 10:990750. [PMID: 36389361 PMCID: PMC9664934 DOI: 10.3389/fped.2022.990750] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Adenovirus causes acute respiratory illness that can mimic bacterial infection, making it challenging to differentiate adenoviral infection from adenoviral-bacterial co-infection. A host-protein score (BV score) for differentiating bacterial from viral infection that combines the expression levels of TNF-related apoptosis-induced ligand, interferon gamma-induced protein-10, and C-reactive protein exhibited a negative predictive value (NPV) of 98% in prior studies. Here we evaluate BV score's diagnostic accuracy in pediatrics with adenovirus PCR detection. METHODS This is a sub-analysis of children aged 3 months to 20 years with adenovirus PCR-positive infection recruited prospectively in two previous cohort studies. Reference standard diagnosis (bacterial, viral or indeterminate) was based on expert adjudication. BV score ranges from 0 to 100 and provides three results based on predefined cutoffs: viral or other non-bacterial etiology (0 ≤ score < 35), equivocal (35 ≤ score ≤ 65), and bacterial or co-infection (65 < score ≤ 100). Experts were blinded to BV results. RESULTS Out of 1,779 children, 142 had an adenovirus PCR-positive nasopharyngeal swab. Median age was 1.2 years (interquartile range 0.6-1.8), 50.7% were male and 52.8% were hospitalized. 12 cases were reference standard bacterial, 115 reference standard viral and 15 were indeterminate. BV score attained sensitivity of 100.0% (no false negatives), specificity of 89.5% (95% confidence interval: 83.2-95.8), and NPV of 100.0% (92.6-100.0). Equivocal rate was 19.7%. CONCLUSIONS BV score accurately differentiated between adenoviral and bacterial-adenoviral co-infection in this cohort of children with PCR-positive adenovirus detection. This performance supports a potential to improve appropriate antibiotic use.
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Affiliation(s)
- Michal Stein
- Pediatric Infectious Diseases Unit, Sheba Medical Center, Ramat Gan, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ma'anit Shapira
- Laboratory Division, Hillel Yaffe Medical Center, Hadera, Israel
| | - Ellen Bamberger
- Pediatrics Department, Bnai Zion Medical Center, Haifa, Israel.,Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel
| | | | - Daniel Dumov
- Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Isaac Srugo
- Pediatrics Department, Bnai Zion Medical Center, Haifa, Israel
| | - Michal Stein
- Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
| | - Louis J Bont
- Wilhelmina Children's Hospital, UMC Utrecht, Utrecht, Netherlands
| | - Adi Klein
- Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel.,Pediatrics Department, Hillel Yaffe Medical Center, Hadera, Israel
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Schneider JE, Cooper JT. Cost impact analysis of novel host-response diagnostic for patients with community-acquired pneumonia in the emergency department. J Med Econ 2022; 25:138-151. [PMID: 34994273 DOI: 10.1080/13696998.2022.2026686] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND There is significant over-prescription of antibiotics for suspected community-acquired pneumonia (CAP) patients as bacterial and viral pathogens are difficult to differentiate. To address this issue, a host response diagnostic called MeMed BV (MMBV) was developed that accurately differentiates bacterial from viral infection at the point of need by integrating measurements of multiple biomarkers. A literature-based cost-impact model was developed that compared the cost impact and clinical benefits between using the standard of care diagnostics combined with MMBV relative to standard of care diagnostics alone. METHODS The patient population was stratified according to the pneumonia severity index, and cost savings were considered from payer and provider perspectives. Four scenarios were considered. The main analysis considers the cost impact of differences in antibiotic stewardship and resulting adverse events. The first, second, and third scenarios combine the impacts on antibiotic stewardship with changes in hospital admission probability, length of hospital stay and diagnosis related group (DRG) reallocation, and hospital admission probability, length of stay, and DRG reallocation in combination, respectively. RESULTS The main analysis results show overall per-patient savings of $37 for payers and $223 for providers. Scenarios 1, 2, and 3 produced savings of $137, $189, and $293 for payers, and $339, $713, and $809 for providers, respectively. LIMITATIONS Models are simulations of real-world clinical processes, and are not sensitive to variations in clinical practice driven by differences in physician practice styles, differences in facility-level practice patterns, and patient comorbidities expected to exacerbate the clinical impact of CAP. Hospital models are limited to costs and do not consider differences in revenue associated with each approach. CONCLUSIONS Introducing MMBV to the current SOC diagnostic process is likely to be cost-saving to both hospitals and payers when considering impacts on antibiotic distribution, hospital admission rate, hospital LOS, and DRG reallocation.
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Ross M, Henao R, Burke TW, Ko ER, McClain MT, Ginsburg GS, Woods CW, Tsalik EL. A comparison of host response strategies to distinguish bacterial and viral infection. PLoS One 2021; 16:e0261385. [PMID: 34905580 PMCID: PMC8670660 DOI: 10.1371/journal.pone.0261385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/29/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES Compare three host response strategies to distinguish bacterial and viral etiologies of acute respiratory illness (ARI). METHODS In this observational cohort study, procalcitonin, a 3-protein panel (CRP, IP-10, TRAIL), and a host gene expression mRNA panel were measured in 286 subjects with ARI from four emergency departments. Multinomial logistic regression and leave-one-out cross validation were used to evaluate the protein and mRNA tests. RESULTS The mRNA panel performed better than alternative strategies to identify bacterial infection: AUC 0.93 vs. 0.83 for the protein panel and 0.84 for procalcitonin (P<0.02 for each comparison). This corresponded to a sensitivity and specificity of 92% and 83% for the mRNA panel, 81% and 73% for the protein panel, and 68% and 87% for procalcitonin, respectively. A model utilizing all three strategies was the same as mRNA alone. For the diagnosis of viral infection, the AUC was 0.93 for mRNA and 0.84 for the protein panel (p<0.05). This corresponded to a sensitivity and specificity of 89% and 82% for the mRNA panel, and 85% and 62% for the protein panel, respectively. CONCLUSIONS A gene expression signature was the most accurate host response strategy for classifying subjects with bacterial, viral, or non-infectious ARI.
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Affiliation(s)
- Melissa Ross
- Duke University School of Medicine, Durham, NC, United States of America
| | - Ricardo Henao
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States of America
| | - Thomas W. Burke
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
| | - Emily R. Ko
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
- Duke Regional Hospital, Durham, NC, United States of America
| | - Micah T. McClain
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
- Medical Service, Durham Veterans Affairs Health Care System, Durham, NC, United States of America
| | - Geoffrey S. Ginsburg
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
| | - Christopher W. Woods
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
- Medical Service, Durham Veterans Affairs Health Care System, Durham, NC, United States of America
| | - Ephraim L. Tsalik
- Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America
- Emergency Medicine Service, Durham Veterans Affairs Health Care System, Durham, NC, United States of America
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Dwivedi R, Mehrotra D, Chandra S. Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. J Oral Biol Craniofac Res 2021. [PMID: 34926140 PMCID: PMC8664731 DOI: 10.1016/j.jobcr.2021.11.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/09/2021] [Accepted: 11/21/2021] [Indexed: 12/23/2022] Open
Abstract
Sudden spurting of Corona virus disease (COVID-19) has put the whole healthcare system on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also COVID-19 has motivated scientists to make new ‘Smart’ healthcare system focusing towards early diagnosis, prevention of spread, education and treatment and facilitate living in the new normal. This review aims to identify the role of IoMT applications in improving healthcare system and to analyze the status of research demonstrating effectiveness of IoMT benefits to the patient and healthcare system along with a brief insight into technologies supplementing IoMT and challenges faced in developing a smart healthcare system. An internet-based search in PUBMED, Google Scholar and IEEE Library for english language publications using relevant terms resulted in 987 articles. After screening title, abstract, and content related to IoMT in healthcare and excluding duplicate articles, 135 articles published in journal with impact factor ≥1 were eligible for inclusion. Also relevant articles from the references of the selected articles were considered. The habituation of IoMT and related technology has resolved several difficulties using remote monitoring, telemedicine, robotics, sensors etc. However mass adoption seems challenging due to factors like privacy and security of data, management of large amount of data, scalability and upgradation etc. Although ample knowledge has been compiled and exchanged, this structured systematic review will help the healthcare practitioners, policymakers/decision makers, scientists and researchers to gauge the applicability of IoMT in healthcare more efficiently.
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Papan C, Argentiero A, Porwoll M, Hakim U, Farinelli E, Testa I, Pasticci MB, Mezzetti D, Perruccio K, Etshtein L, Mastboim N, Moscoviz E, Ber TI, Cohen A, Simon E, Boico O, Shani L, Gottlieb TM, Navon R, Barash E, Oved K, Eden E, Simon A, Liese JG, Knuf M, Stein M, Yacobov R, Bamberger E, Schneider S, Esposito S, Tenenbaum T. A host signature based on TRAIL, IP-10, and CRP for reducing antibiotic overuse in children by differentiating bacterial from viral infections: a prospective, multicentre cohort study. Clin Microbiol Infect 2021; 28:723-730. [PMID: 34768022 DOI: 10.1016/j.cmi.2021.10.019] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/13/2021] [Accepted: 10/27/2021] [Indexed: 01/28/2023]
Abstract
OBJECTIVES Identifying infection aetiology is essential for appropriate antibiotic use. Previous studies have shown that a host-protein signature consisting of TNF-related apoptosis-induced ligand (TRAIL), interferon-γ-induced protein-10 (IP-10), and C-reactive protein (CRP) can accurately differentiate bacterial from viral infections. METHODS This prospective, multicentre cohort study, entitled AutoPilot-Dx, aimed to validate signature performance and to estimate its potential impact on antibiotic use across a broad paediatric population (>90 days to 18 years) with respiratory tract infections, or fever without source, at emergency departments and wards in Italy and Germany. Infection aetiology was adjudicated by experts based on clinical and laboratory investigations, including multiplex PCR and follow-up data. RESULTS In total, 1140 patients were recruited (February 2017-December 2018), of which 1008 met the eligibility criteria (mean age 3.5 years, 41.9% female). Viral and bacterial infections were adjudicated for 628 (85.8%) and 104 (14.2%) children, respectively; 276 patients were assigned an indeterminate reference standard outcome. For the 732 children with reference standard aetiology, the signature discriminated bacterial from viral infections with a sensitivity of 93.7% (95%CI 88.7-98.7), a specificity of 94.2% (92.2-96.1), positive predictive value of 73.0% (65.0-81.0), and negative predictive value of 98.9% (98.0-99.8); in 9.8% the test results were equivocal. The signature performed consistently across different patient subgroups and detected bacterial immune responses in viral PCR-positive patients. CONCLUSIONS The findings validate the high diagnostic performance of the TRAIL/IP-10/CRP signature in a broad paediatric cohort, and support its potential to reduce antibiotic overuse in children with viral infections.
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Affiliation(s)
- Cihan Papan
- University Children's Hospital Mannheim, Heidelberg University, Paediatric Infectious Diseases, Mannheim, Germany; Centre for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany
| | - Alberto Argentiero
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | - Marian Porwoll
- University Children's Hospital Mannheim, Heidelberg University, Paediatric Infectious Diseases, Mannheim, Germany
| | - Ummaya Hakim
- University Children's Hospital Mannheim, Heidelberg University, Paediatric Infectious Diseases, Mannheim, Germany
| | - Edoardo Farinelli
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | - Ilaria Testa
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | - Maria Bruna Pasticci
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | - Daniele Mezzetti
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | - Katia Perruccio
- Santa Maria della Misericordia Hospital, Università degli Studi di Perugia, Perugia, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Arne Simon
- Paediatric Oncology and Haematology, Saarland University Hospital, Homburg, Germany
| | - Johannes G Liese
- Department of Paediatrics, University of Würzburg, Würzburg, Germany
| | - Markus Knuf
- Children's Hospital, Helios Dr Horst Schmidt Klinik, Wiesbaden, and Department of Paediatrics, University Medicine, Mainz, Germany
| | | | | | - Ellen Bamberger
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Department of Paediatrics, Bnai-Zion Medical Centre, Haifa, Israel
| | - Sven Schneider
- Institute for Clinical Chemistry, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Susanna Esposito
- Pietro Barilla Children's Hospital, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Tobias Tenenbaum
- University Children's Hospital Mannheim, Heidelberg University, Paediatric Infectious Diseases, Mannheim, Germany.
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Valim C, Olatunji YA, Isa YS, Salaudeen R, Golam S, Knol EF, Kanyi S, Jammeh A, Bassat Q, de Jager W, Diaz AA, Wiegand RC, Ramirez J, Moses MA, D'Alessandro U, Hibberd PL, Mackenzie GA. Seeking diagnostic and prognostic biomarkers for childhood bacterial pneumonia in sub-Saharan Africa: study protocol for an observational study. BMJ Open 2021; 11:e046590. [PMID: 34593486 PMCID: PMC8487183 DOI: 10.1136/bmjopen-2020-046590] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Clinically diagnosed pneumonia in children is a leading cause of paediatric hospitalisation and mortality. The aetiology is usually bacterial or viral, but malaria can cause a syndrome indistinguishable from clinical pneumonia. There is no method with high sensitivity to detect a bacterial infection in these patients and, as result, antibiotics are frequently overprescribed. Conversely, unrecognised concomitant bacterial infection in patients with malarial infections occur with omission of antibiotic therapy from patients with bacterial infections. Previously, we identified two combinations of blood proteins with 96% sensitivity and 86% specificity for detecting bacterial disease. The current project aimed to validate and improve these combinations by evaluating additional biomarkers in paediatric patients with clinical pneumonia. Our goal was to describe combinations of a limited number of proteins with high sensitivity and specificity for bacterial infection to be incorporated in future point-of-care tests. Furthermore, we seek to explore signatures to prognosticate clinical pneumonia. METHODS AND ANALYSIS Patients (n=900) aged 2-59 months presenting with clinical pneumonia at two Gambian hospitals will be enrolled and classified according to criteria for definitive bacterial aetiology (based on microbiological tests and chest radiographs). We will measure proteins at admission using Luminex-based immunoassays in 90 children with definitive and 160 with probable bacterial aetiology, and 160 children classified according to the prognosis of their disease. Previously identified diagnostic signatures will be assessed through accuracy measures. Moreover, we will seek new diagnostic and prognostic signatures through machine learning methods, including support vector machine, penalised regression and classification trees. ETHICS AND DISSEMINATION Ethics approval has been obtained from the Gambia Government/Medical Research Council Unit The Gambia Joint Ethics Committee (protocol 1616) and the institutional review board of Boston University Medical Centre (STUDY00000958). Study results will be disseminated to the staff of the study hospitals, in scientific seminars and meetings, and in publications. TRIAL REGISTRATION NUMBER H-38462.
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Affiliation(s)
- Clarissa Valim
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Yekin Ajauoi Olatunji
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Yasir Shitu Isa
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Rasheed Salaudeen
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Sarwar Golam
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
| | - Edward F Knol
- Center of Translational Immunology, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Quique Bassat
- Hospital Clínic, Universitat de Barcelona, ISGlobal, Barcelona, Spain
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Wilco de Jager
- Center of Translational Immunology, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Luminex Corp, Austin, Texas, USA
| | - Alejandro A Diaz
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Julio Ramirez
- Division of Infectious Diseases, University of Louisville, Louisville, Kentucky, USA
| | - Marsha A Moses
- Vascular Biology Program, Children's Hospital Boston, Boston, Massachusetts, USA
- Department of Surgery, Harvard Medical School, Boston, Massachusetts, USA
| | - Umberto D'Alessandro
- Disease Elimination and Control, Medical Research Council Unit, Fajara, Gambia
- London School of Hygiene & Tropical Medicine, London, UK
| | | | - Grant A Mackenzie
- Medical Research Council Unit, The Gambia at the London School of Hygiene & Tropical Medicine, Fajara, The Gambia
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
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Carlton HC, Savović J, Dawson S, Mitchelmore PJ, Elwenspoek MMC. Novel point-of-care biomarker combination tests to differentiate acute bacterial from viral respiratory tract infections to guide antibiotic prescribing: a systematic review. Clin Microbiol Infect 2021; 27:1096-1108. [PMID: 34015531 DOI: 10.1016/j.cmi.2021.05.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/30/2021] [Accepted: 05/04/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Acute respiratory tract infections (RTIs) are the most common reason to seek medical care, with many patients receiving inappropriate antibiotics. Novel testing approaches to identify aetiology at the point-of-care are required to accurately guide antibiotic treatment. OBJECTIVE To assess the diagnostic accuracy of biomarker combinations to rapidly differentiate between acute bacterial or viral RTI aetiology. DATA SOURCES MEDLINE, Embase and Web of Science databases were searched to February 2021. STUDY ELIGIBILITY CRITERIA Diagnostic accuracy studies comparing accuracy of point-of-care and rapid diagnostic tests in primary or secondary care, consisting of biomarker combinations, to identify bacterial or viral aetiology of RTI. METHODS Risk of bias was assessed using the QUADAS-2 tool. Sensitivity and specificity of tests reported by more than one study were meta-analysed using a random effects model. RESULTS Twenty observational studies (3514 patients) were identified. Eighteen were judged at high risk of bias. For bacterial aetiologies, sensitivity ranged from 61% to 100% and specificity from 18% to 96%. For viral aetiologies, sensitivity ranged from 59% to 97% and specificity from 74% to 100%. Studies evaluating two commercial tests were meta-analysed. For ImmunoXpert, the summary sensitivity and specificity were 85% (95% CI 75%-91%, k = 4) and 86% (95% CI 73%-93%, k = 4) for bacterial infections, and 90% (95% CI 79%-96%, k = 3) and 92% (95% CI 83%-96%, k = 3) for viral infections, respectively. FebriDx had pooled sensitivity and specificity of 84% (95% CI 75%-90%, k = 4) and 93% (95% CI 90%-95%, k = 4) for bacterial infections, and 87% (95% CI 72%-95%; k = 4) and 82% (95% CI 66%-86%, k = 4) for viral infections, respectively. CONCLUSION Combinations of biomarkers show potential clinical utility in discriminating the aetiology of RTIs. However, the limitations in the evidence base, due to a high proportion of studies with high risk of bias, preclude firm conclusions. Future research should be in primary care and evaluate patient outcomes and cost-effectiveness with experimental study designs. CLINICAL TRIAL PROSPERO registration number: CRD42020178973.
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Affiliation(s)
- Henry C Carlton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Philip J Mitchelmore
- Department of Respiratory Medicine, Royal Devon & Exeter Hospital, Exeter, UK; Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, UK
| | - Martha M C Elwenspoek
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
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Leticia Fernandez-Carballo B, Escadafal C, MacLean E, Kapasi AJ, Dittrich S. Distinguishing bacterial versus non-bacterial causes of febrile illness - A systematic review of host biomarkers. J Infect 2021; 82:1-10. [PMID: 33610683 DOI: 10.1016/j.jinf.2021.01.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/30/2020] [Accepted: 01/07/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Acute febrile illnesses (AFIs) represent a major disease burden globally; however, the paucity of reliable, rapid point-of-care testing makes their diagnosis difficult. A simple tool for distinguishing bacterial versus non-bacterial infections would radically improve patient management and reduce indiscriminate antibiotic use. Diagnostic tests based on host biomarkers can play an important role here, and a target product profile (TPP) was developed to guide development. OBJECTIVES To qualitatively evaluate host biomarkers that can distinguish bacterial from non-bacterial causes of AFI. DATA SOURCES The PubMed database was systematically searched for relevant studies published between 2015 and 2019. STUDY ELIGIBILITY CRITERIA Studies comparing diagnostic performances of host biomarkers in patients with bacterial versus non-bacterial infections were included. PARTICIPANTS Studies involving human participants and/or human samples were included. METHODS We collected information following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A risk of bias assessment was performed, based on a modified QUADAS-2 (Quality Assessment of Diagnostic Accuracy Score 2). RESULTS We identified 1107 publications. Following screening, 55 publications were included, with 265 biomarker entries. Entries mostly comprised protein biomarkers (58.9%), followed by haematological, RNA, and metabolite biomarkers (15.5%, 8.7%, 12.5%). Sensitivity/specificity was reported for 45.7% of biomarker entries. We assessed a high overall risk of bias for most entries (75.8%). In studies with low/medium risk of bias, four biomarker entries tested in blood samples had sensitivity/specificity of more than 0.90/0.80. Only 12 additional biomarker entries were identified with sensitivity/specificity of more than 0.65/0.65. CONCLUSIONS Most recently assessed biomarkers represent well-known biomarkers, e.g. C-reactive protein and procalcitonin. Some protein biomarkers with the highest reported performances include a combined biomarker signature (CRP, IP-10, and TRAIL) and human neutrophil lipocalin (HNL). Few new biomarkers are in the pipeline; however, some RNA signatures show promise. Further high-quality studies are needed to confirm these findings.
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Skovbjerg S, Roos K, Andersson M, Rabe H, Nilsson S, Lindh M, Wold AE. Inflammatory Mediator Profiles in Secretory Otitis Media in Relationship to Viable Bacterial Pathogens and Bacterial and Viral Nucleic Acids. J Interferon Cytokine Res 2020; 40:555-569. [PMID: 33337936 DOI: 10.1089/jir.2020.0075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Secretory otitis media (SOM) is characterized by persistence of fluid in the middle ear, often following an episode of acute otitis media. Our hypothesis is that failure to eliminate bacterial or viral pathogens may result in persistent low-grade inflammation. In this study, we analyzed inflammatory mediators in middle ear fluids from 67 children with SOM. This was combined with determinations of viable bacteria by culture along with detection of bacterial and viral genetic material by real-time polymerase chain reaction (PCR). The inflammatory mediators found at the highest concentrations (>30 ng/mL) were stem cell growth factor-β (median 110 ng/mL), CXCL1, IL-16, IL-8, migration inhibitory factor, CXCL10, and CXCL9. Among bacterial pathogens, Moraxella catarrhalis and Haemophilus influenzae dominated, regardless of detection methods, while rhinovirus dominated among viral pathogens. Middle ear fluid levels of interleukin (IL)-1α, IL-17, IL-1β, fibroblast growth factor basic, and tumor necrosis factor correlated strongly with presence of bacteria detected either by culture or PCR, while IL-1RA, IL-3, IL-6, IL-8, CCL3, CCL4, and granulocyte-colony stimulating factor correlated significantly with real-time PCR values. CXCL10, CXCL9, CCL2, and TRAIL correlated significantly with viral nucleic acid levels. To conclude, persistence of viral and bacterial pathogens may fuel persistent inflammation in SOM. Bacteria caused a broad inflammatory response, while viruses chiefly elicited the interferon-induced chemokines CXCL9 and CXCL10.
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Affiliation(s)
- Susann Skovbjerg
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kristian Roos
- ENT Department, Capio Lundby Hospital, Gothenburg, Sweden
| | - Maria Andersson
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Hardis Rabe
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Staffan Nilsson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Magnus Lindh
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Agnes E Wold
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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Affiliation(s)
- John P Hays
- Erasmus University Medical Centre (Erasmus MC), Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
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22
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Abstract
FebriDx® is a rapid, point-of-care diagnostic test that is designed to aid in the differentiation of bacterial and viral acute respiratory infections (ARIs), thus helping to guide decisions regarding the prescription of antibiotics in the outpatient setting. FebriDx carries a CE mark for use in the EU and is also approved in several other countries, including Canada, Saudi Arabia and Singapore. It is indicated for use in patients > 2 years old with symptoms consistent with a community-acquired ARI. The test involves the use of an immunoassay on a fingerstick blood sample to provide simultaneous, qualitative measurement of elevated levels of C-reactive protein (CRP) and myxovirus resistance protein A (MxA). In two prospective, multicentre studies in patients with acute upper respiratory tract infections, FebriDx was shown to be both sensitive and specific in identifying patients with a clinically significant infection and in differentiating between infections of bacterial and viral aetiology. The test is simple, requires no additional equipment and produces actionable results in ~ 10 min. As was demonstrated in a small, retrospective analysis, FebriDx results can help guide (improve) antibiotic prescribing decisions. Reducing the unnecessary or inappropriate prescription of antibiotics for ARIs of probable viral aetiology is important for antibiotic stewardship and can also reduce the unnecessary exposure of patients to the risk of antibiotic-related adverse events. FebriDx thus represents a useful diagnostic tool in the outpatient setting.
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Affiliation(s)
- Matt Shirley
- Springer Nature, Private Bag 65901, Mairangi Bay, Auckland, 0754, New Zealand.
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23
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Noviello S, Huang DB. The Basics and the Advancements in Diagnosis of Bacterial Lower Respiratory Tract Infections. Diagnostics (Basel) 2019; 9:E37. [PMID: 30987144 PMCID: PMC6627325 DOI: 10.3390/diagnostics9020037] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/26/2019] [Accepted: 03/30/2019] [Indexed: 11/17/2022] Open
Abstract
Lower respiratory tract infections (LRTIs) are the leading infectious cause of death and the sixth-leading cause of death overall worldwide. Streptococcus pneumoniae, with more than 90 serotypes, remains the most common identified cause of community-acquired acute bacterial pneumonia. Antibiotics treat LRTIs with a bacterial etiology. With the potential for antibiotic-resistant bacteria, defining the etiology of the LRTI is imperative for appropriate patient treatment. C-reactive protein and procalcitonin are point-of-care tests that may differentiate bacterial versus viral etiologies of LRTIs. Major advancements are currently advancing the ability to make rapid diagnoses and identification of the bacterial etiology of LRTIs, which will continue to support antimicrobial stewardship, and is the focus of this review.
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Affiliation(s)
| | - David B Huang
- Motif BioSciences, Princeton, NJ 08540, USA.
- Department of Internal Medicine, Division of Infectious Diseases, Rutgers New Jersey Medical School, Trenton, NJ 07103, USA.
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24
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Shapiro NI, Self WH, Rosen J, Sharp SC, Filbin MR, Hou PC, Parekh AD, Kurz MC, Sambursky R. A prospective, multi-centre US clinical trial to determine accuracy of FebriDx point-of-care testing for acute upper respiratory infections with and without a confirmed fever. Ann Med 2018; 50:420-429. [PMID: 29775092 DOI: 10.1080/07853890.2018.1474002] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
Abstract
BACKGROUND FebriDx is a 10-minute disposable point-of-care test designed to identify clinically significant systemic host immune responses and aid in the differentiation of bacterial and viral respiratory infection by simultaneously detecting C-reactive protein (CRP) and myxovirus resistance protein A (MxA) from a fingerstick blood sample. FebriDx diagnostic accuracy was evaluated in the emergency room and urgent care setting. METHODS A prospective, multicentre, observational cohort study of acute upper respiratory tract infections (URIs), with and without a confirmed fever at the time of enrolment, was performed to evaluate the diagnostic accuracy of FebriDx to identify clinically significant bacterial infection with host response and acute pathogenic viral infection. The reference method consisted of an algorithm with physician override that included bacterial cell culture, respiratory PCR panels for viral and atypical pathogens, procalcitonin, and white blood cell count. RESULTS Among 220 patients enrolled, 100% reported fever 100.5°F within the last 72 hours while 55% had a measured hyperthermia (T > 100.4) at the time of enrolment. FebriDx demonstrated a sensitivity of 95% (95% CI: 77-100%), specificity of 94% (88-98%), PPV of 76% (59-87%), and a NPV of 99% (93-100%). CONCLUSION FebriDx may identify clinically significant bacterial URI's and supports outpatient antibiotic decisions. Key messages FebriDx is an outpatient POC test designed to identify a clinically significant systemic host immune response and aid in the differentiation of viral and bacterial infection through rapid measurement of MxA and CRP from a fingerstick blood sample. FebriDx test was determined to be an accurate test, with a 85% sensitivity, 93% specificity and 97% NPV to rule out bacterial infection for any patient presenting with symptoms and reported fever within the prior 3 days, and when confirming fever (hyperthermia) at the time of testing, the test was even more sensitive (95%) and specific (94%) with a 99% NPV. FebriDx may support antibiotic stewardship by rapidly identifying clinically significant bacterial URIs.
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Affiliation(s)
- Nathan I Shapiro
- a Emergency Medicine , Beth Israel Deaconess Medical Center , Boston , MA , USA
| | - Wesley H Self
- b Emergency Medicine , Vanderbilt University Medical Center , Nashville , TN , USA
| | - Jeffrey Rosen
- c Clinical Research of South Florida , Coral Gables , FL , USA
| | | | - Michael R Filbin
- e Emergency Medicine , Massachusetts General Hospital Institute for Patient Care , Boston , USA
| | - Peter C Hou
- f Emergency Medicine , Brigham and Women's Hospital , Boston , MA , USA
| | - Amisha D Parekh
- g Emergency Medicine , New York Methodist Hospital , Brooklyn , NY , USA
| | - Michael C Kurz
- h Emergency Medicine , University of Alabama School of Medicine , Birmingham , AL , USA
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25
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Ashkenazi-Hoffnung L, Oved K, Navon R, Friedman T, Boico O, Paz M, Kronenfeld G, Etshtein L, Cohen A, Gottlieb TM, Eden E, Chistyakov I, Srugo I, Klein A, Ashkenazi S, Scheuerman O. A host-protein signature is superior to other biomarkers for differentiating between bacterial and viral disease in patients with respiratory infection and fever without source: a prospective observational study. Eur J Clin Microbiol Infect Dis 2018; 37:1361-1371. [PMID: 29700762 PMCID: PMC6015097 DOI: 10.1007/s10096-018-3261-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/11/2018] [Indexed: 01/01/2023]
Abstract
Bacterial and viral infections often present with similar symptoms. Etiologic misdiagnosis can alter the trajectory of patient care, including antibiotic overuse. A host-protein signature comprising tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), interferon gamma-induced protein-10 (IP-10), and C-reactive protein (CRP) was validated recently for differentiating bacterial from viral disease. However, a focused head-to-head comparison of its diagnostic performance against other biomarker candidates for this indication was lacking in patients with respiratory infection and fever without source. We compared the signature to other biomarkers and prediction rules using specimens collected prospectively at two secondary medical centers from children and adults. Inclusion criteria included fever > 37.5 °C, symptom duration ≤ 12 days, and presentation with respiratory infection or fever without source. Comparator method was based on expert panel adjudication. Signature and biomarker cutoffs and prediction rules were predefined. Of 493 potentially eligible patients, 314 were assigned unanimous expert panel diagnosis and also had sufficient specimen volume. The resulting cohort comprised 175 (56%) viral and 139 (44%) bacterial infections. Signature sensitivity 93.5% (95% CI 89.1–97.9%), specificity 94.3% (95% CI 90.7–98.0%), or both were significantly higher (all p values < 0.01) than for CRP, procalcitonin, interleukin-6, human neutrophil lipocalin, white blood cell count, absolute neutrophil count, and prediction rules. Signature identified as viral 50/57 viral patients prescribed antibiotics, suggesting potential to reduce antibiotic overuse by 88%. The host-protein signature demonstrated superior diagnostic performance in differentiating viral from bacterial respiratory infections and fever without source. Future utility studies are warranted to validate potential to reduce antibiotic overuse.
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Affiliation(s)
- Liat Ashkenazi-Hoffnung
- Department of Pediatrics B, Schneider Children's Medical Center, Petach Tikva, Israel.,Pediatric Infectious Disease Unit, Schneider Children's Medical Center, Petach Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | | | | | | | | | | | | | | | | | | | - Irina Chistyakov
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.,Department of Pediatrics, Bnai-Zion Medical Center, Haifa, Israel
| | - Isaac Srugo
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.,Department of Pediatrics, Bnai-Zion Medical Center, Haifa, Israel
| | - Adi Klein
- Department of Pediatrics, Hillel Yaffe Medical Center, Hadera, Israel
| | - Shai Ashkenazi
- Pediatric Infectious Disease Unit, Schneider Children's Medical Center, Petach Tikva, Israel. .,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. .,Department of Pediatrics A, Schneider Children's Medical Center, 14 Kaplan Street, 49202, Petach Tikva, Israel.
| | - Oded Scheuerman
- Department of Pediatrics B, Schneider Children's Medical Center, Petach Tikva, Israel.,Pediatric Infectious Disease Unit, Schneider Children's Medical Center, Petach Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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