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Angloher G, Banik S, Benato G, Bento A, Bertolini A, Breier R, Bucci C, Burkhart J, Canonica L, D'Addabbo A, Di Lorenzo S, Einfalt L, Erb A, Feilitzsch FV, Ferreiro Iachellini N, Fichtinger S, Fuchs D, Fuss A, Garai A, Ghete VM, Gorla P, Gupta S, Hauff D, Ješkovský M, Jochum J, Kaznacheeva M, Kinast A, Kluck H, Kraus H, Langenkämper A, Mancuso M, Marini L, Mokina V, Nilima A, Olmi M, Ortmann T, Pagliarone C, Pattavina L, Petricca F, Potzel W, Povinec P, Pröbst F, Pucci F, Reindl F, Rothe J, Schäffner K, Schieck J, Schmiedmayer D, Schönert S, Schwertner C, Stahlberg M, Stodolsky L, Strandhagen C, Strauss R, Usherov I, Wagner F, Willers M, Zema V, Ferella F, Laubenstein M, Nisi S. Secular equilibrium assessment in a CaWO 4 target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisation. Appl Radiat Isot 2023; 194:110670. [PMID: 36696751 DOI: 10.1016/j.apradiso.2023.110670] [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: 05/31/2022] [Revised: 11/06/2022] [Accepted: 01/13/2023] [Indexed: 01/22/2023]
Abstract
CRESST is a leading direct detection sub-GeVc-2 dark matter experiment. During its second phase, cryogenic bolometers were used to detect nuclear recoils off the CaWO4 target crystal nuclei. The previously established electromagnetic background model relies on Secular Equilibrium (SE) assumptions. In this work, a validation of SE is attempted by comparing two likelihood-based normalisation results using a recently developed spectral template normalisation method based on Bayesian likelihood. Albeit we find deviations from SE in some cases we conclude that these deviations are artefacts of the fit and that the assumptions of SE is physically meaningful.
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Affiliation(s)
- G Angloher
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - S Banik
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - G Benato
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - A Bento
- Max-Planck-Institut für Physik, D-80805, München, Germany; LIBPhys-UC, Departamento de Fisica, Universidade de Coimbra, P3004 516, Coimbra, Portugal
| | - A Bertolini
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - R Breier
- Comenius University, Faculty of Mathematics, Physics and Informatics, 84248, Bratislava, Slovakia
| | - C Bucci
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - J Burkhart
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria.
| | - L Canonica
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - A D'Addabbo
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - S Di Lorenzo
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - L Einfalt
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - A Erb
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany; Walther-Meißner-Institut für Tieftemperaturforschung, D-85748, Garching, Germany
| | - F V Feilitzsch
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - N Ferreiro Iachellini
- Max-Planck-Institut für Physik, D-80805, München, Germany; Excellence Cluster Origins, D-85748, Garching, Germany
| | - S Fichtinger
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - D Fuchs
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - A Fuss
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - A Garai
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - V M Ghete
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - P Gorla
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - S Gupta
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - D Hauff
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - M Ješkovský
- Comenius University, Faculty of Mathematics, Physics and Informatics, 84248, Bratislava, Slovakia
| | - J Jochum
- Eberhard-Karls-Universität Tübingen, D-72076, Tübingen, Germany
| | - M Kaznacheeva
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - A Kinast
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - H Kluck
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - H Kraus
- Department of Physics, University of Oxford, OX1 3RH, Oxford, United Kingdom
| | - A Langenkämper
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - M Mancuso
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - L Marini
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy; GSSI-Gran Sasso Science Institute, I-67100, L'Aquila, Italy
| | - V Mokina
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - A Nilima
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - M Olmi
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - T Ortmann
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - C Pagliarone
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy; Dipartimento di Ingegneria Civile e Meccanica, Universitä degli Studi di Cassino e del Lazio Meridionale, I-03043, Cassino, Italy
| | - L Pattavina
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy; Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - F Petricca
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - W Potzel
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - P Povinec
- Comenius University, Faculty of Mathematics, Physics and Informatics, 84248, Bratislava, Slovakia
| | - F Pröbst
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - F Pucci
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - F Reindl
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - J Rothe
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - K Schäffner
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - J Schieck
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - D Schmiedmayer
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - S Schönert
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - C Schwertner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria; Atominstitut, Technische Universität Wien, A-1020, Wien, Austria
| | - M Stahlberg
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - L Stodolsky
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | - C Strandhagen
- Eberhard-Karls-Universität Tübingen, D-72076, Tübingen, Germany
| | - R Strauss
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - I Usherov
- Eberhard-Karls-Universität Tübingen, D-72076, Tübingen, Germany
| | - F Wagner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050, Wien, Austria
| | - M Willers
- Physik-Department and ORIGINS Excellence Cluster, Technische Universität München, D-85747, Garching, Germany
| | - V Zema
- Max-Planck-Institut für Physik, D-80805, München, Germany
| | | | - F Ferella
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy; Department of Physical and Chemical Sciences, University of l'Aquila, via Vetoio (COPPITO 1-2), I-67100, L'Aquila, Italy
| | - M Laubenstein
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
| | - S Nisi
- INFN, Laboratori Nazionali del Gran Sasso, I-67100, Assergi, Italy
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Angloher G, Banik S, Bartolot D, Benato G, Bento A, Bertolini A, Breier R, Bucci C, Burkhart J, Canonica L, D’Addabbo A, Di Lorenzo S, Einfalt L, Erb A, Feilitzsch FV, Iachellini NF, Fichtinger S, Fuchs D, Fuss A, Garai A, Ghete VM, Gerster S, Gorla P, Guillaumon PV, Gupta S, Hauff D, Ješkovský M, Jochum J, Kaznacheeva M, Kinast A, Kluck H, Kraus H, Lackner M, Langenkämper A, Mancuso M, Marini L, Meyer L, Mokina V, Nilima A, Olmi M, Ortmann T, Pagliarone C, Pattavina L, Petricca F, Potzel W, Povinec P, Pröbst F, Pucci F, Reindl F, Rizvanovic D, Rothe J, Schäffner K, Schieck J, Schmiedmayer D, Schönert S, Schwertner C, Stahlberg M, Stodolsky L, Strandhagen C, Strauss R, Usherov I, Wagner F, Willers M, Zema V, Waltenberger W. Towards an automated data cleaning with deep learning in CRESST. Eur Phys J Plus 2023; 138:100. [PMID: 36741916 PMCID: PMC9886615 DOI: 10.1140/epjp/s13360-023-03674-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
The CRESST experiment employs cryogenic calorimeters for the sensitive measurement of nuclear recoils induced by dark matter particles. The recorded signals need to undergo a careful cleaning process to avoid wrongly reconstructed recoil energies caused by pile-up and read-out artefacts. We frame this process as a time series classification task and propose to automate it with neural networks. With a data set of over one million labeled records from 68 detectors, recorded between 2013 and 2019 by CRESST, we test the capability of four commonly used neural network architectures to learn the data cleaning task. Our best performing model achieves a balanced accuracy of 0.932 on our test set. We show on an exemplary detector that about half of the wrongly predicted events are in fact wrongly labeled events, and a large share of the remaining ones have a context-dependent ground truth. We furthermore evaluate the recall and selectivity of our classifiers with simulated data. The results confirm that the trained classifiers are well suited for the data cleaning task.
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Affiliation(s)
- G. Angloher
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - S. Banik
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - D. Bartolot
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - G. Benato
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - A. Bento
- Max-Planck-Institut für Physik, D-80805 München, Germany
- LIBPhys-UC, Departamento de Fisica, Universidade de Coimbra, P3004 516 Coimbra, Portugal
| | - A. Bertolini
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - R. Breier
- Faculty of Mathematics, Physics and Informatics, Comenius University, 84248 Bratislava, Slovakia
| | - C. Bucci
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - J. Burkhart
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - L. Canonica
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - A. D’Addabbo
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - S. Di Lorenzo
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - L. Einfalt
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - A. Erb
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
- Walther-Meißner-Institut für Tieftemperaturforschung, D-85748 Garching, Germany
| | - F. v. Feilitzsch
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | | | - S. Fichtinger
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - D. Fuchs
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - A. Fuss
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - A. Garai
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - V. M. Ghete
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - S. Gerster
- Eberhard-Karls-Universität Tübingen, D-72076 Tübingen, Germany
| | - P. Gorla
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - P. V. Guillaumon
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - S. Gupta
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - D. Hauff
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - M. Ješkovský
- Faculty of Mathematics, Physics and Informatics, Comenius University, 84248 Bratislava, Slovakia
| | - J. Jochum
- Eberhard-Karls-Universität Tübingen, D-72076 Tübingen, Germany
| | - M. Kaznacheeva
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - A. Kinast
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - H. Kluck
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - H. Kraus
- Department of Physics, University of Oxford, Oxford, OX1 3RH UK
| | - M. Lackner
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - A. Langenkämper
- Max-Planck-Institut für Physik, D-80805 München, Germany
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - M. Mancuso
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - L. Marini
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
- GSSI-Gran Sasso Science Institute, I-67100 L’Aquila, Italy
| | - L. Meyer
- Eberhard-Karls-Universität Tübingen, D-72076 Tübingen, Germany
| | - V. Mokina
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - A. Nilima
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - M. Olmi
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
| | - T. Ortmann
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - C. Pagliarone
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Universitá degli Studi di Cassino e del Lazio Meridionale, I-03043 Cassino, Italy
| | - L. Pattavina
- INFN, Laboratori Nazionali del Gran Sasso, I-67100 Assergi, Italy
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - F. Petricca
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - W. Potzel
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - P. Povinec
- Faculty of Mathematics, Physics and Informatics, Comenius University, 84248 Bratislava, Slovakia
| | - F. Pröbst
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - F. Pucci
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - F. Reindl
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - D. Rizvanovic
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - J. Rothe
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - K. Schäffner
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - J. Schieck
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - D. Schmiedmayer
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - S. Schönert
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - C. Schwertner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
- Atominstitut, Technische Universität Wien, A-1020 Wien, Austria
| | - M. Stahlberg
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - L. Stodolsky
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - C. Strandhagen
- Eberhard-Karls-Universität Tübingen, D-72076 Tübingen, Germany
| | - R. Strauss
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - I. Usherov
- Eberhard-Karls-Universität Tübingen, D-72076 Tübingen, Germany
| | - F. Wagner
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
| | - M. Willers
- Physik-Department, Technische Universität München, D-85747 Garching, Germany
| | - V. Zema
- Max-Planck-Institut für Physik, D-80805 München, Germany
| | - W. Waltenberger
- Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, A-1050 Wien, Austria
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Hoenicka M, Jacobs V, Niemeyer M, Bronger H, Schneider K, Kiechle M, Huber G, Seelbach-Göbel B, Burkhart J, Hammer J, Liepsch D, Schmid C, Birnbaum D. Neue Verwendungsmöglichkeiten von Nachgeburtsgewebe für die Regenerative Medizin. Z Geburtshilfe Neonatol 2012; 216:27-33. [DOI: 10.1055/s-0031-1298029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- M. Hoenicka
- Klinik für Herz-, Thorax- und herznahe Gefäßchirurgie, Klinikum der Universität Regensburg
- Klinik für Herz-, Thorax- und Gefäßchirurgie, Universitätsklinikum Ulm
| | - V. Jacobs
- Frauenklinik, Technische Universität München
- Frauenklinik, Paracelsus Medizinische Universität, Salzburg, Austria
| | - M. Niemeyer
- Frauenklinik, Technische Universität München
| | - H. Bronger
- Frauenklinik, Technische Universität München
| | | | - M. Kiechle
- Frauenklinik, Technische Universität München
| | - G. Huber
- Abteilung für Frauenheilkunde und Geburtshilfe, Klinik St. Hedwig, Krankenhaus Barmherzige Brüder, Regensburg
| | - B. Seelbach-Göbel
- Abteilung für Frauenheilkunde und Geburtshilfe, Klinik St. Hedwig, Krankenhaus Barmherzige Brüder, Regensburg
| | - J. Burkhart
- Blutspendedienst des Bayerischen Roten Kreuzes, München
| | - J. Hammer
- FB Maschinenbau, Hochschule Regensburg
| | - D. Liepsch
- FB05 Versorgungstechnik, Hochschule München
| | - C. Schmid
- Klinik für Herz-, Thorax- und herznahe Gefäßchirurgie, Klinikum der Universität Regensburg
| | - D. Birnbaum
- Klinik für Herz-, Thorax- und herznahe Gefäßchirurgie, Klinikum der Universität Regensburg
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Ehnert S, Schyschka L, Noss A, Knobeloch D, Kleeff J, Büchler P, Gillen S, Stöckle U, Burkhart J, Fabian E, Nussler AK. Further characterization of autologous NeoHepatocytes for in vitro toxicity testing. Toxicol In Vitro 2011; 25:1203-8. [PMID: 21621600 DOI: 10.1016/j.tiv.2011.05.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2010] [Revised: 05/13/2011] [Accepted: 05/13/2011] [Indexed: 10/18/2022]
Abstract
Gold standard for in vitro toxicity tests and drug screenings is primary human hepatocytes (hHeps). Because of their limited availability efforts have been made to provide alternatives, e.g., monocyte-derived NeoHepatocytes. In the past years it has been critically discussed if gaining hepatocyte features is associated with trans-differentiation of monocytes or their activation towards a macrophage phenotype. Generating NeoHepatocytes in the presence of six different human AB sera, fetal calf serum (FCS) or autologous serum showed that yield and quality of NeoHepatocytes is inversely correlated to macrophage activation. Using autologous serum constantly the highest amount of cells with the best metabolic capacity was obtained. Focus of this study was to further analyze bio-transformation capacity of the optimized NeoHepatocytes for use as in vitro toxicity test-system. Treatment of the optimized NeoHepatocytes with two different pro-teratogenic substances with corresponding metabolites and eight known hepatotoxins showed comparable toxicity to hHeps. Bio-transformation rates, assessed by testosterone metabolism, were comparable in both cell types. Our data reveal that use of autologous serum reduced macrophage activation which improved yield and function of NeoHepatocytes resulting in bio-transformation and toxicity profiles comparable to hHeps. Thus, their easy accessibility makes them an ideal candidate for in vitro toxicity studies.
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Affiliation(s)
- S Ehnert
- Dept. of Traumatology, MRI, Technische Universität München, Germany.
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Ehnert S, Seeliger C, Vester H, Schmitt A, Saidy-Rad S, Lin J, Neumaier M, Gillen S, Kleeff J, Friess H, Burkhart J, Stöckle U, Nüssler AK. Autologous serum improves yield and metabolic capacity of monocyte-derived hepatocyte-like cells: possible implication for cell transplantation. Cell Transplant 2011; 20:1465-77. [PMID: 21294943 DOI: 10.3727/096368910x550224] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Hepatocyte-transplantation is a therapeutic approach for diverse acute and chronic liver diseases. As availability of primary cells is limited, there is an increasing demand for hepatocyte-like cells (e.g., neohepatocytes generated from peripheral blood monocytes). The aim of this study was to evaluate the effects of six different human AB sera, fetal calf serum, or autologous serum on production of neohepatocytes. The yield and quality of neohepatocytes varied considerably depending on the different sera. Using autologous sera for the whole production process we constantly generated the highest amount of cells with the highest metabolic activity for phase I (e.g., CYP1A1/2, CYP3A4) and phase II enzymes (e.g., glutathione-S-transferase). Moreover, similar effects were seen examining glucose and urea metabolism. Especially, glucose-6-phosphatase and PAS staining showed distinct serum-dependent differences. The role of macrophage activation was investigated by measuring the secretion of TNF-α, TGF-β, and RANKL, MMP activity, as well as mRNA levels of different interleukins in programmable cells of monocytic origin (PCMO). Our data clearly demonstrate that the use of autologous serum reduced initial macrophage activation in PCMOs and subsequently improved both yield and function of differentiated neohepatocytes. The autologous approach presented here might also be useful in other stem cell preparation processes where cell activation during generation shall be kept to a minimum.
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Affiliation(s)
- S Ehnert
- Department of Traumatology, MRI, Technische Universität München, Munich, Germany
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6
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Schmidt M, Karakassopoulos A, Burkhart J, Deitenbeck R, Asmus J, Müller TH, Weinauer F, Seifried E, Walther-Wenke G. Comparison of three bacterial detection methods under routine conditions. Vox Sang 2007; 92:15-21. [PMID: 17181586 DOI: 10.1111/j.1423-0410.2006.00850.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND OBJECTIVES Since 2004, bacterial screening of platelets has been required in the USA and is also done on a voluntary basis in many European countries. The German Red Cross blood donor services conducted a prospective multicentre study in order to investigate the prevalence of bacterially contaminated pool platelet concentrates and apheresis platelet concentrates. This substudy compares three different bacterial detection systems. STUDY DESIGN AND METHODS Platelet concentrates were tested in parallel with BacT/ALERT, Scansystem and Pall eBDS (n = 6307) in pool platelets. Apheresis platelets were tested in parallel with BacT/ALERT and Pall eBDS (n = 4730). All initially positive results were evaluated by a standardized procedure including evaluation by a microbiology reference laboratory. RESULTS One in 6307 pool platelets were confirmed positive by BacT/ALERT, whereas Pall eBDS and Scansystem failed to detect these samples. Only three samples were initially reactive with Pall eBDS without proof of any bacteria strains. The rate of false-positive results was substantially higher for BacT/ALERT (0.25%, 28 in 11,037 tested samples) than for eBDS (0.03%, 3 in 11 037 tested samples) or Scansystem (0.0%, 0 in 6307 tested samples). Three of 4730 apheresis platelets were confirmed positive by BacT/ALERT. These were negative with Pall eBDS. CONCLUSION Sensitivity was best for BacT/ALERT, whereas specificity was enhanced for Pall eBDS and Scansystem. Scansystem required specially trained staff, whereas BacT/ALERT and Pall eBDS were easy, quick, user-friendly and objective methods.
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Affiliation(s)
- M Schmidt
- German Red Cross Institute Frankfurt, Frankfurt, Germany.
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Jacobs VR, Niemeyer M, Gottschalk N, Schneider KTM, Kiechle M, Oostendorp RAJ, Peschel C, Hönicka M, Lehle K, Birnbaum D, Meyer TPH, Rapp S, Burkhart J, Aigner J, Eblenkamp M, Wintermantel E. Das STEMMAT-Projekt als Teil der Gesundheitsinitiative BayernAktiv: Adulte Stammzellen aus Nabelschnur und -blut als Alternative zur embryonalen Stammzellforschung. ACTA ACUST UNITED AC 2006; 127:368-72. [PMID: 16341979 DOI: 10.1055/s-2005-836498] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Adult stem cells from umbilical cord and cord blood are an interesting alternative to embryonic stem cells because such research is commonly recognized as ethical undisputed and many aspects are still insufficiently investigated. In the context of the STEMMAT research project (STEM = Stem Cell and MAT = Material) different aspects of stem cells from umbilical cord and cord blood are investigated, to improve basic science understanding and potentially leading someday to a clinical application.
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Affiliation(s)
- V R Jacobs
- Frauenklinik, Klinikum Rechts der Isar, Technische Universität München.
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Meyer TPH, Hofmann B, Zaisserer J, Jacobs VR, Fuchs B, Rapp S, Weinauer F, Burkhart J. Analysis and cryopreservation of hematopoietic stem and progenitor cells from umbilical cord blood. Cytotherapy 2006; 8:265-76. [PMID: 16793735 DOI: 10.1080/14653240600735685] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Umbilical cord blood (UCB) is an important source of hematopoietic stem and progenitor cells (HSC/HPC) for the reconstitution of the hematopoietic system after clinical transplantation. Cryopreservation of these cells is critical for UCB banking and transplantation as well as for research applications by providing readily available specimens. The objective of this study was to optimize cryopreservation conditions for CD34+ HSC/HPC from UCB. METHODS Cryopreservation of CD34+ HSC/HPC from UCB after mononuclear cell (MNC) preparation was tested in a research-scale setup. Experimental variations were concentration of the cryoprotectant, the protein additive and cell concentration. In addition, protocols involving slow, serial addition and removal of DMSO were compared with standard protocols (fast addition and removal of DMSO) in order to avoid osmotic stress for the cryopreserved cells. Viability and recoveries of MNC, CD34+ cells and total colony-forming units (CFU) were calculated as read-outs. In addition, sterility testing of the collected UCB units before further processing was performed. RESULTS The optimal conditions for cryopreservation of CD34+ HPC in MNC preparations were 10% DMSO and 2% human albumin at high cell concentrations (5 x 10(7) MNC/mL) with fast addition and removal of DMSO. After cryopreservation using a computer-controlled freezer, high viabilities (89%) and recoveries for CD34+ cells (89%) as well as for CFU (88%) were observed. Microbial contamination of the collected UCB samples was reduced to a rate of 6.4%. DISCUSSION Optimized cryopreservation conditions were developed for UCB MNC in respect of the composition of the cryosolution. In addition, our results showed that fast addition of DMSO is essential for improved cryopreservation and post-thaw quality assessment results, whereas the speed of DMSO removal after thawing has little influence on the recoveries of CD34+ cells and CFU.
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Affiliation(s)
- T P H Meyer
- Blood Donor Service, Bavarian Red Cross, Herzon-Heinrich-Strasse 4, 80336 Munich, Germany
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Meyer TPH, Zehnter I, Hofmann B, Zaisserer J, Burkhart J, Rapp S, Weinauer F, Schmitz J, Illert WE. Filter Buffy Coats (FBC): a source of peripheral blood leukocytes recovered from leukocyte depletion filters. J Immunol Methods 2005; 307:150-66. [PMID: 16325197 DOI: 10.1016/j.jim.2005.10.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2005] [Revised: 09/23/2005] [Accepted: 10/06/2005] [Indexed: 11/16/2022]
Abstract
In compliance with federal regulations, blood banks routinely use leukocyte depletion filters to eliminate contaminating leukocytes from blood products such as red blood cell and platelet concentrates. We developed and optimized conditions to elute leukocytes adsorbed to these filters; resulting in leukocyte suspensions which we termed Filter Buffy Coats (FBCs). These Filter Buffy Coats can replace standard buffy coats for various research applications. After optimizing both the filter elution medium as well as elution protocols, we compared commonly used leukocyte depletion filters from four different manufacturers. Relative fractions as well as total recoveries of leukocyte subsets, such as lymphocytes, monocytes and granulocytes, found in Filter Buffy Coats were identified and compared among the filters as well as to standard buffy coats and whole blood. Flow cytometric analysis of Filter Buffy Coats confirmed the presence of T- and B-lymphocytes, NK cells and monocytes. Furthermore, a significant quantity of CD34(+) hematopoietic stem or progenitor cells (HSC/HPC) was detected in Filter Buffy Coats prepared from different filters, thus making FBCs a valuable source for research on HSC/HPC. Colony assays revealed that most of these CD34(+) cells are functional. Using immunomagnetic cell sorting (MACS), we isolated a variety of leukocyte populations from FBC mononuclear cells (Filter-PBMCs) including T lymphocytes (CD4(+), CD8(+), CD3(+)), B lymphocytes (CD19(+)), NK cells (CD56(+)), HSC/HPC (CD34(+), CD133(+)) or dendritic cells (BDCA-4(+)). Functional properties of Filter-PBMCs, as well as of some of these isolated leukocyte populations, were confirmed using standard assays. In summary, Filter Buffy Coats are a valuable and convenient source of different peripheral leukocyte populations and can replace standard buffy coat preparations for research applications.
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Affiliation(s)
- T P H Meyer
- Blood Donor Service, Bavarian Red Cross (BRK Blutspendedienst), Munich, Germany.
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10
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Jacobs VR, Schneider KTM, Kiechle M, Oostendorp RAJ, Peschel C, Lehle K, Hönicka M, Birnbaum D, Meyer T, Rapp S, Burkhart J, Aigner J, Wintermantel E. Das STEMMAT-Projekt: Grundlagenforschung mit adulten Stammzellen aus Nabelschnur und -blut. Geburtshilfe Frauenheilkd 2003. [DOI: 10.1055/s-2003-815147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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11
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Stoller JK, Stefanak M, Orens D, Burkhart J. The hospital oxygen supply: an "O2K" problem. Respir Care 2000; 45:300-5. [PMID: 10771798] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
BACKGROUND As an essential hospital facility, the central oxygen supply system should be designed with features allowing backup and/or redundancy in the event of system failure. As part of an organized institutional review of The Cleveland Clinic Foundation hospital inpatient central oxygen supply system, we undertook a survey of all hospitals in two Ohio cities to determine the characteristics of hospital central supply systems. METHODS The questionnaire was developed and completed by structured telephone interview during calls placed to managers of facilities engineering departments in 35 hospitals in the greater Cleveland and Columbus, Ohio, metropolitan areas. To encourage candid responses to the telephone interview, respondents were assured that institutional names would not be presented in published reports. The questionnaire addressed the type of primary and reserve oxygen sources in the hospital, whether a backup system exists, and if so, in what configuration. The questionnaire also addressed whether any unplanned interruption or other problem (such as contamination of the piped-in oxygen supply) had ever occurred in the facility. RESULTS Of the 35 eligible hospitals, responses were available from 32 (91.4%). The mean number of beds in the hospitals responding was 397 +/- 251 (standard deviation), and the original construction dates of the responding hospitals ranged from 1887 to 1982. All 32 responding institutions reported a reserve system, described as a liquid reservoir in 72% (23/32), manifolded cylinders in 16% (5/32), and both in 13% (4/32). Twenty-six (81%) of those responding reported having the reserve supply liquid or manifolded gas cylinders at the same location as the primary liquid vessel. The supply lines of these contiguous primary and reserve containers were reported to join proximal to entering the hospital structure, so at each of these 26 hospitals the primary and reserve systems depend on a single length of pipe. Only 4 (13%) of the hospitals have manifolded cylinders in addition to the primary and reserve liquid supplies. These manifolds are in different locations from the primary and reserve, have physically separate feed lines, and represent the only true examples of redundant piped-in oxygen supplies recorded during the survey. Of the 32 hospitals surveyed, 5 (16%) reported having experienced mishaps with the bulk liquid supply. CONCLUSIONS (1) Not surprisingly, most of the hospitals in these two urban areas use bulk liquid oxygen systems (with primary and reserve liquid reservoirs) as the main central supply source, with some providing manifolded cylinders as backup. (2) Mishaps regarding the main supply line from the bulk oxygen reservoir were reported by 16% (5/32) of responding institutions. (3) In this context, the fact that most main and reserve tanks were contiguous and fed through a single line to the hospital facility suggests ongoing risk for interruption of an oxygen supply by line mishaps (e.g., street repair). (4) Contingency planning to lessen the risk of an interrupted supply should involve back-up systems with physically separated feed lines, as well as tanks of manifolded cylinders along the course of the main hospital oxygen circuit line.
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Affiliation(s)
- J K Stoller
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Foundation, Ohio 44195, USA.
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Affiliation(s)
- J Burkhart
- Division of Respiratory Disease Studies, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA.
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13
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Abstract
Environmental measurements for a variety of gas, particulate, and microbiological agents have been made in order to characterize exposures associated with the nylon flocking process. Of all agents measured, particulate is the predominant exposure. Levels of total particulate ranged from O.1 to 240 mg/m3 (x = 11.4 mg/m3). Average respirable particulate was 2.2 mg/m3, ranging from 0.5 to 39.9 mg/m3. Highest levels of particulates were found in the flocking room, and direct reading dust measurements indicate that the highest peak exposures are associated with "blowdown" (a cleaning procedure used between flocking runs). The nature of the airborne particles was investigated using polarized light and scanning electron microscopy. Air samples were found to contain flock particles (fibers nominally 10-15 microm in diameter by about 1000 microm in length) and a variety of respirable particles types, several of which were linked directly to the process. Of special interest were elongated respirable particles, which by microscopic analysis, complemented with melting-point determination, were found to be shreds of nylon.
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Affiliation(s)
- J Burkhart
- National Institute for Occupational Safety and Health, Division of Respiratory Disease Studies, Morgantown, West Virginia 26505-2888, USA
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14
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Porter DW, Castranova V, Robinson VA, Hubbs AF, Mercer RR, Scabilloni J, Goldsmith T, Schwegler-Berry D, Battelli L, Washko R, Burkhart J, Piacitelli C, Whitmer M, Jones W. Acute inflammatory reaction in rats after intratracheal instillation of material collected from a nylon flocking plant. J Toxicol Environ Health A 1999; 57:25-45. [PMID: 10321900 DOI: 10.1080/009841099157845] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Several cases of interstitial lung disease have been diagnosed among workers at a nylon flock plant, but the etiologic agent for the disease outbreak was unknown. The results of a medical survey and industrial hygiene study indicated that the dust present in the plant may be responsible. Thus, airborne dust collected at the plant was examined for its inflammatory potential in rat lungs. The endpoints measured were: (1) breathing rates, (2) differential cell counts of bronchoalveolar lavage cells, (3) alveolar macrophage (AM) chemiluminescence, (4) albumin concentration and matrix metalloprotease activities in the acellular fluid from the initial bronchoalveolar lavage, and (5) pulmonary histopathology. In the first study, rats received a single dose of the airborne dust sample (10 mg/kg body weight) by intratracheal (IT) instillation. At 1 d post-IT, all inflammatory endpoints were significantly increased versus controls, but by 29 d post-IT they did not differ significantly from controls. Histopathology demonstrated mild to moderate, multifocal, suppurative pneumonia, usually centered around bronchioles, at 1 d post-IT. At 29 d post-IT, pulmonary inflammation was minimal to mild and characterized by alveolar histocytosis usually restricted to the immediate area of retained bire-fringent fibers. In subsequent experiments, airborne dust was extracted with water and the dust (washed airborne dust) and water extract (soluble fraction) were separated by centrifugation for further study. Nylon tow dust was prepared in the laboratory by milling uncut nylon strands (called tow) that had not been treated with the finish or dyes that are commonly used in the flock plants. Rats were administered a single dose of a dust sample (10 mg/kg body weight) or the soluble fraction (1.3 ml/kg body weight) by IT administration and the same endpoints were measured at 1 d post-IT. The dust samples caused significant increases in all of the inflammatory endpoints; however, the soluble fraction was much less active. Histological analysis of the lungs 1 d post-IT confirmed lung inflammation was occurring and tended to center around bronchioles. The results suggest that: (1) nylon flocking generates particles of respirable size that can interact with AM in the lung and can be detected in the lung 29 d after exposure, (2) the dust samples examined cause an inflammatory response, (3) water-extractable agent(s) from airborne dust contribute only minimally to the inflammatory response, and (4) the acute inflammatory response to these dusts is substantial when compared to other pathologic occupational dusts previously examined in our laboratory.
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Affiliation(s)
- D W Porter
- National Institute for Occupational Safety and Health, Morgantown, West Virginia 26505, USA
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Favor J, Layton D, Sega G, Wassom J, Burkhart J, Douglas G, Dearfield K, Brusick D. International Commission for Protection Against Environmental Mutagens and Carcinogens. Genetic risk extrapolation from animal data to human disease. A Taskgroup Report. No. 00105. Mutat Res 1995; 330:23-34. [PMID: 7623868 DOI: 10.1016/0027-5107(93)e0261-n] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
This report describes a model for producing quantitative genetic risk assessments for human populations. The model is patterned after current methods used in cancer risk analysis. The risk to humans is expressed as the number of additional dominant genetic diseases added to the existing genetic burden, in the offspring of the exposed individuals.
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Affiliation(s)
- J Favor
- Hazleton Washington Inc., Vienna, VA 22182-1699, USA
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17
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Stoller JK, Haney D, Burkhart J, Fergus L, Giles D, Hoisington E, Kester L, Komara J, McCarthy K, McCann B. Physician-ordered respiratory care vs physician-ordered use of a respiratory therapy consult service: early experience at The Cleveland Clinic Foundation. Respir Care 1993; 38:1143-54. [PMID: 10145922] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
BACKGROUND Accumulative evidence suggests that respiratory care is frequently misallocated. We report the results of a pilot study of a delivery system aimed at correcting such misallocation. METHODS The delivery system (Respiratory Therapy Consult Service, or RTCS) allows respiratory therapists (when requested by the case-managing physician) to determine respiratory care, with decisions guided by algorithm (ie, Consult patients). In the pilot study, Therapist Evaluators responded to requests for Consults on two study wards. All staff therapists participated in implementing Evaluator-determined treatment. STUDY DESIGN We evaluated 38 patients (20 of whom were Consult patients) randomly selected from a total of 82 patients undergoing abdominal surgery during the study period. RESULTS Consult patients were significantly older than non-Consult patients, more likely to be heavy smokers (67 vs 43%), and sicker as suggested by a higher Triage Score. Consult patients received more types and more total respiratory care services, demonstrated a trend toward longer stay, and had significantly higher respiratory therapy charges. CONCLUSION Our experience shows that a consult program can be successfully implemented in a large, tertiary care institution with widespread physician and nursing support. Whether the RTCS fulfills its goal of ameliorating misallocation of respiratory care has yet to be proven and awaits the completion of other studies currently under way.
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Abstract
A study of firefighter exposures was undertaken at the request of the U.S. Fire Administration. This work was part of a larger study which included field evaluation of the performance of the self-contained breathing apparatus (SCBA) worn by firefighters during structural firefighting. Measurements were made for a variety of contaminants including CO, CO2, benzene, HCN, HCl, H2SO4, HF, acrolein, CH4, formaldehyde and PNAs. Many of the analyses were performed by collection of bag samples followed by Fourier transform infrared spectroscopy using a field mobile spectrometer. Measurements were also made using solid sorbent tubes and direct-reading meters. Sampling was done both during the knockdown and during overhaul phases of structural firefighting. Also, in order to estimate exposures including those when the SCBAs were worn, measurements were made both inside and outside the SCBA facepiece. Carbon monoxide was the most common contaminant found during knockdown, and about 10% of the samples were greater than 1500 ppm. Formaldehyde, acrolein, hydrogen chloride, hydrogen cyanide, sulphuric acid and hydrogen fluoride all exceeded their respective short-term exposure limits (STEL) on some occasions. Approximately 50% of the knockdown samples for acrolein exceeded the STEL. During overhaul, when masks were usually not worn, many of the contaminants found during knockdown were detected, but typically at much lower concentrations. Inside-mask sampling data suggest that exposure to low concentrations of a variety of compounds is occurring but this is believed to be principally the result of early mask removal or of non-use during knockdown rather than of leakage. The three basic sampling approaches (bag sampling, sorbent tubes and direct-reading meters) proved in this study to be complementary and served to maximize our ability to detect and quantify a wide range of combustion products.
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Affiliation(s)
- J Jankovic
- National Institute for Occupational Safety and Health, Morgantown, WV 26505
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Burkhart J. IC nurse details steps to build small hospital program. Hosp Infect Control 1982; 9:54. [PMID: 10255562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Lee CY, Langley CH, Burkhart J. Purification and molecular weight determination of glucose-6-phosphate dehydrogenase and malic enzyme from mouse and Drosophila. Anal Biochem 1978; 86:697-706. [PMID: 418703 DOI: 10.1016/0003-2697(78)90797-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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21
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Siegel IA, Izutsu KT, Burkhart J. Transfer of alcohols and ureas across the oral mucosa measured using streaming potentials and radioisotopes. J Pharm Sci 1976; 65:129-31. [PMID: 1255418 DOI: 10.1002/jps.2600650130] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The permeability of the oral mucosa to an alcohol and a urea series was studied using radioisotope transfer and the measurement of streaming potentials. Both methods yielded similar quantitative estimates of permeability. The rate of transfer of the smallest member of both series (methanol and urea) was greater than the second member (ethanol and methylurea). In the alcohol series, permeability increased as the chain length increased from ethanol to butanol. In contrast, the permeability of the oral mucosa to ethylurea and propylurea was less than to methylurea. However, butylurea had a greater rate of transfer than either propylurea or ethylurea.
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Abstract
✓ A rare case of cervical pachymeningitis secondary to mucopolysaccharidosis is reported.
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