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14 results on '"Ashkar, Jalal"'

2. A point-of-need platform for rapid measurement of a host-protein score that differentiates bacterial from viral infection: Analytical evaluation

Author

Mary, Hainrichson, Noa, Avni, Eran, Eden, Paul, Feigin, Amir, Gelman, Salim, Halabi, Efrat, Hartog-David, Kristina G, Hulten, Ashkar, Jalal, Roy, Kalfon, Linda, Lamberth, Shawna, Lewis, Roy, Navon, Kfir, Oved, Ayelet, Raz-Pasteur, Naftalie, Senderovich, Oded, Shaham, Meytal, Shraga, Einav, Simon, Lauren M, Sommer, Oren, Zarchin, Karen C, Carroll, and Tanya M, Gottlieb

Subjects
Clinical Biochemistry, General Medicine
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. 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.

Published
2023

3. Antibiotic misuse in respiratory tract infections in children and adults—a prospective, multicentre study (TAILORED Treatment)

Author

van Houten, Chantal B., Cohen, Asi, Engelhard, Dan, Hays, John P., Karlsson, Roger, Moore, Edward, Fernández, David, Kreisberg, Racheli, Collins, Laurence V., de Waal, Wouter, de Winter-de Groot, Karin M., Wolfs, Tom F. W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Heijligenberg, Rik, Sankatsing, Sanjay U. C., Bossink, Aik W. J., Stubbs, Andrew, Stein, Michal, Reisfeld, Sharon, Klein, Adi, Rachmilevitch, Ronit, Ashkar, Jalal, Braverman, Itzhak, Kartun, Valery, Chistyakov, Irena, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Schiff, Elad, Dotan, Yaniv, Boico, Olga, Navon, Roy, Friedman, Tom, Etshtein, Liat, Paz, Meital, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Simon, Einav, Oved, Kfir, Eden, Eran, and Bont, Louis J.

Published
2019
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4. 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

Author

Li, Yunlei, Van Houten, Chantal B., Boers, Stefan A., Jansen, Ruud, Cohen, Asi, Engelhard, Dan, Kraaij, Robert, Hiltemann, Saskia D., Ju, Jie, Fernandez, David, Mankoc, Cristian, Gonzalez, Eva, De Waal, Wouter J., De Winter-De Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stein, Michal, Klein, Adi, Ashkar, Jalal, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Dotan, Yaniv, Boico, Olga, Etshtein, Liat, Paz, Meital, Navon, Roy, Friedman, Tom, Simon, Einav, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Oved, Kfir, Eden, Eran, Stubbs, Andrew P., Bont, Louis J., Hays, John P., Li, Yunlei, Van Houten, Chantal B., Boers, Stefan A., Jansen, Ruud, Cohen, Asi, Engelhard, Dan, Kraaij, Robert, Hiltemann, Saskia D., Ju, Jie, Fernandez, David, Mankoc, Cristian, Gonzalez, Eva, De Waal, Wouter J., De Winter-De Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stein, Michal, Klein, Adi, Ashkar, Jalal, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Dotan, Yaniv, Boico, Olga, Etshtein, Liat, Paz, Meital, Navon, Roy, Friedman, Tom, Simon, Einav, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Oved, Kfir, Eden, Eran, Stubbs, Andrew P., Bont, Louis J., and Hays, John P.

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.

Published
2022

5. 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

Author

Arts-assistenten Kinderen, Child Health, Infectieziekten onderzoek1 (Bont), Longziekten patientenzorg, Infectiezieken, Infectieziekten patientenzorg, Infection & Immunity, Longziekten, MS Interne Geneeskunde, CTI Bont, Li, Yunlei, Van Houten, Chantal B., Boers, Stefan A., Jansen, Ruud, Cohen, Asi, Engelhard, Dan, Kraaij, Robert, Hiltemann, Saskia D., Ju, Jie, Fernandez, David, Mankoc, Cristian, Gonzalez, Eva, De Waal, Wouter J., De Winter-De Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stein, Michal, Klein, Adi, Ashkar, Jalal, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Dotan, Yaniv, Boico, Olga, Etshtein, Liat, Paz, Meital, Navon, Roy, Friedman, Tom, Simon, Einav, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Oved, Kfir, Eden, Eran, Stubbs, Andrew P., Bont, Louis J., Hays, John P., Arts-assistenten Kinderen, Child Health, Infectieziekten onderzoek1 (Bont), Longziekten patientenzorg, Infectiezieken, Infectieziekten patientenzorg, Infection & Immunity, Longziekten, MS Interne Geneeskunde, CTI Bont, Li, Yunlei, Van Houten, Chantal B., Boers, Stefan A., Jansen, Ruud, Cohen, Asi, Engelhard, Dan, Kraaij, Robert, Hiltemann, Saskia D., Ju, Jie, Fernandez, David, Mankoc, Cristian, Gonzalez, Eva, De Waal, Wouter J., De Winter-De Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stein, Michal, Klein, Adi, Ashkar, Jalal, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Dotan, Yaniv, Boico, Olga, Etshtein, Liat, Paz, Meital, Navon, Roy, Friedman, Tom, Simon, Einav, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Oved, Kfir, Eden, Eran, Stubbs, Andrew P., Bont, Louis J., and Hays, John P.

Published
2022

6. 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

Author

Li, Yunlei, primary, van Houten, Chantal B., additional, Boers, Stefan A., additional, Jansen, Ruud, additional, Cohen, Asi, additional, Engelhard, Dan, additional, Kraaij, Robert, additional, Hiltemann, Saskia D., additional, Ju, Jie, additional, Fernández, David, additional, Mankoc, Cristian, additional, González, Eva, additional, de Waal, Wouter J., additional, de Winter-de Groot, Karin M., additional, Wolfs, Tom F. W., additional, Meijers, Pieter, additional, Luijk, Bart, additional, Oosterheert, Jan Jelrik, additional, Sankatsing, Sanjay U. C., additional, Bossink, Aik W. J., additional, Stein, Michal, additional, Klein, Adi, additional, Ashkar, Jalal, additional, Bamberger, Ellen, additional, Srugo, Isaac, additional, Odeh, Majed, additional, Dotan, Yaniv, additional, Boico, Olga, additional, Etshtein, Liat, additional, Paz, Meital, additional, Navon, Roy, additional, Friedman, Tom, additional, Simon, Einav, additional, Gottlieb, Tanya M., additional, Pri-Or, Ester, additional, Kronenfeld, Gali, additional, Oved, Kfir, additional, Eden, Eran, additional, Stubbs, Andrew P., additional, Bont, Louis J., additional, and Hays, John P., additional

Published
2022
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8. Antibiotic misuse in respiratory tract infections in children and adults—a prospective, multicentre study (TAILORED Treatment)

Author

UMC Utrecht, Child Health, Infectieziekten onderzoek1 (Bont), Longziekten patientenzorg, Infectieziekten patientenzorg, Infection & Immunity, Longziekten, MS Interne Geneeskunde, CTI Bont, Infectiezieken, van Houten, Chantal B., Cohen, Asi, Engelhard, Dan, Hays, John P., Karlsson, Roger, Moore, Edward, Fernández, David, Kreisberg, Racheli, Collins, Laurence V., de Waal, Wouter, de Winter-de Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Heijligenberg, Rik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stubbs, Andrew, Stein, Michal, Reisfeld, Sharon, Klein, Adi, Rachmilevitch, Ronit, Ashkar, Jalal, Braverman, Itzhak, Kartun, Valery, Chistyakov, Irena, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Schiff, Elad, Dotan, Yaniv, Boico, Olga, Navon, Roy, Friedman, Tom, Etshtein, Liat, Paz, Meital, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Simon, Einav, Oved, Kfir, Eden, Eran, Bont, Louis J., UMC Utrecht, Child Health, Infectieziekten onderzoek1 (Bont), Longziekten patientenzorg, Infectieziekten patientenzorg, Infection & Immunity, Longziekten, MS Interne Geneeskunde, CTI Bont, Infectiezieken, van Houten, Chantal B., Cohen, Asi, Engelhard, Dan, Hays, John P., Karlsson, Roger, Moore, Edward, Fernández, David, Kreisberg, Racheli, Collins, Laurence V., de Waal, Wouter, de Winter-de Groot, Karin M., Wolfs, Tom F.W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Heijligenberg, Rik, Sankatsing, Sanjay U.C., Bossink, Aik W.J., Stubbs, Andrew, Stein, Michal, Reisfeld, Sharon, Klein, Adi, Rachmilevitch, Ronit, Ashkar, Jalal, Braverman, Itzhak, Kartun, Valery, Chistyakov, Irena, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Schiff, Elad, Dotan, Yaniv, Boico, Olga, Navon, Roy, Friedman, Tom, Etshtein, Liat, Paz, Meital, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Simon, Einav, Oved, Kfir, Eden, Eran, and Bont, Louis J.

Published
2019

9. INTRAVENOUS VERNAKALANT FOR THE TREATMENT OF NEW-ONSET ATRIAL FIBRILLATION IN THE EMERGENCY DEPARTMENT

Author

Jameel Mohsen, Simcha R. Meisel, Mark Kazatsker, Avraham Shotan, and Ashkar Jalal

Subjects
medicine.medical_specialty, Ventricular tissue, business.industry, medicine.medical_treatment, Atrial fibrillation, Emergency department, Atrial tissue, Antiarrhythmic agent, medicine.disease, New onset atrial fibrillation, Vernakalant, chemistry.chemical_compound, chemistry, Internal medicine, cardiovascular system, medicine, Cardiology, cardiovascular diseases, Cardiology and Cardiovascular Medicine, business, Recent onset
Abstract

Vernakalant is a novel antiarrhythmic agent with a preferential effect on atrial tissue and limited action on ventricular tissue. Intravenous vernakalant effectively converts recent onset atrial fibrillation; conversion is usually achieved quickly with a short half-life and allows early hospital

Published
2019

12. Pre-admission NT-proBNP improves diagnostic yield and risk stratification – the NT-proBNP for EValuation of dyspnoeic patients in the Emergency Room and hospital (BNP4EVER) study

Author

Meisel, Simcha R, primary, Januzzi, James L, additional, Medvedovski, Margarita, additional, Sharist, Moshe, additional, Shochat, Michael, additional, Ashkar, Jalal, additional, Peschansky, Pavel, additional, Haim, Shmuel Bar, additional, Blondheim, David S, additional, Glikson, Michael, additional, and Shotan, Avraham, additional

Published
2012
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14. [DIRECT ADMISSION OF STEMI PATIENTS TO THE CARDIAC CARE UNIT VERSUS ADMISSION VIA THE EMERGENCY DEPARTMENT FOR PRIMARY CORONARY INTERVENTION IMPROVES SHORT AND LONG-TERM SURVIVAL].

Author

Meisel SR, Kleiner-Shochat M, Frimerman A, Levy Y, Abu Fanne R, Amsalem N, Bar El M, Hochman O, Ashkar J, Asif A, Mohsen J, Zidan A, Neiman E, Samara H, Kazatsker M, Blondheim DS, and Shotan A

Subjects
Emergency Service, Hospital, Humans, Time Factors, Treatment Outcome, Coronary Care Units, Myocardial Infarction, Patient Admission, Percutaneous Coronary Intervention, ST Elevation Myocardial Infarction diagnosis, ST Elevation Myocardial Infarction therapy
Abstract

Introduction: Shortening door-to-balloon time intervals in ST-elevation myocardial infarction (STEMI) patients treated by primary percutaneous coronary intervention (PPCI) is necessary in order to limit myocardial damage. Direct admission to the cardiac care unit (CCU) facilitates this goal. We compared characteristics and short- and long-term mortality of PPCI-treated STEMI patients admitted directly to the CCU with those admitted via the emergency department (ED)., Methods: To compare 303 patients admitted directly to the CCU (42%) with 427 admitted via the ED (58%) included in the current registry comprising 730 consecutive PPCI-treated STEMI patients., Results: Groups were similar regarding demographics, medical history and risk factors. Pain-to-CCU time was 151±164 minutes (median-94) for patients admitted directly and 242±226 minutes (160) for those admitted via the ED, while door-to-balloon intervals were 69±42 minutes (61) and 133±102 minutes (111), respectively. LVEF evaluated during admission (48.3±13% [47.5%] vs. 47.7±13.7% [47.5%]) and mean CK level (893±1157 [527] vs. 891±1255 [507], p=0.45) were similar between groups. Mortality was 4.2% vs. 10.3% at 30-days (p<0.002), 7.6% and 14.3% at one-year (p<0.01), reaching 12.2% and 21.9% at 3.9±2.3 years (median-3.5, p<0.004) among directly-admitted patients vs. those admitted via the ED, respectively. Long-term mortality was 4.1%, 9.4%, 21.4%, and 16% for pain-to-balloon quartiles of <140 min, 141-207 min, 208-330 min, and >330 mins, respectively (p=0.026)., Conclusions: Direct admission of STEMI patients to the CCU for PPCI facilitated the attainment of guidelines-dictated door-to-balloon time intervals and yielded improved short- and long-term mortality. Longer pain-to-balloon time was associated with higher long-term mortality.

Published
2019

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