Publikationen im NUM
Hier finden Sie eine Liste der Publikationen, die im Zusammenhang mit dem Netzwerk Universitätsmedizin in der ersten und zweiten Förderphase entstanden sind.
G. Anton,
A. Kuehn-Steven,
M. K. Taucher,
I. Bernemann and
T. Illig,
"Quality management in times of COVID-19: Remote audits as tool to assess sample quality for NAPKON"
in European Biobank Week 2021,
2021.
S. Pohl,
I. Panchyrz,
J. Hoffmann,
C. Gatermann,
L. Harst,
F. Walther,
H. Held,
C. Kleber and
J. Schmitt,
Consensus on best practices in regional inpatient pandemic management at German university hospitals using a mixed-method approach,
2021.
A. Müller,
Implementierung einer Kommunikationsplattform für die transsektorale Vernetzung im regionalen Pandemiemanagement (KomPan-Studie),
2021.
C. Bausewein and
S. T. Simon,
Nationale Strategie für die Betreuung von schwerkranken und sterbenden Menschen und ihren Angehörigen in Pandemiezeiten (PallPan),
2021.
A. Müller,
Plattform für die transsektiorale Kommunikation im regionalen Pandemiemanagement,
2021.
I. Backhaus and
N. Dragano,
Seroprävalenz COVID-19 Düsseldorf: SERODUS I & II. Feldbericht und vorläufiger Ergebnisbericht,
2021.
A. Müller,
P. Nohl-Deryk,
S. Schulz-Rothe,
P. Elliott,
A. Thielmann,
B. Müller,
C. Guethlin and
F. Gerlach,
Usability of a communication tool used by general practitioners and public health workers during the COVID-19 pandemic: a proof-of-concept-study,
2021.
P. Nohl-Deryk,
C. Güthlin,
P. Kurtz and
A. Müller,
Usage of a secure instant messaging tool for exchange of information about Covid-19 between general practitioners and local health authorities,
2021.
A. Müller,
P. Nohl-Deryk and
C. Guethlin,
Veränderung der Kommunikationserfahrung von Hausärz:innen durch die Nutzung einer Messenger-App in der COVID-19-Pandemie,
2021.
P. Nohl-Deryk,
C. Güthlin and
A. Müller,
Wofür nutzten Hausärzt:innen Apps in der Covid-19 Pandemie?,
2021.
T. Greiner,
T. S. Boender,
F. Greiner and
D. Stahl,
"Routinedaten aus der medizinischen Versorgung für die Notaufnahme-Surveillance: 1,5 Jahre Notaufnahme-Situationsreport" ,
2021.
| DOI: | 10.25646/9413 |
P. Boor and
A. Hartmann,
"Bericht zur Late-Breaking Session Pathologie und COVID-19",
Der Pathologe,
vol. 41,
no. Suppl 2,
pp. 96—98,
Dez.
2020.
| DOI: | 10.1007/s00292-020-00882-w |
| Datei: | https://doi.org/10.1007/s00292-020-00882-w |
D. Bojkova,
J. U. G. Wagner,
M. Shumliakivska,
G. S. Aslan,
U. Saleem,
A. Hansen,
G. Luxán,
S. Günther,
M. D. Pham,
J. Krishnan,
P. N. Harter,
U. H. Ermel,
A. S. Frangakis,
H. Milting,
A. M. Zeiher,
K. Klingel,
J. Cinatl,
A. Dendorfer,
T. Eschenhagen,
C. Tschöpe,
S. Ciesek and
S. Dimmeler,
"SARS-CoV-2 infects and induces cytotoxic effects in human cardiomyocytes",
Cardiovascular Research,
vol. 116,
no. 14,
pp. 2207—2215,
Dez.
2020.
| DOI: | 10.1093/cvr/cvaa267 |
| Datei: | https://doi.org/10.1093/cvr/cvaa267 |
P. Lauermann,
M. Storch,
M. Weig,
B. Tampe,
M. Winkler,
H. Hoerauf,
N. Feltgen and
S. Hakroush,
"There is no intraocular affection on a SARS-CoV-2 - Infected ocular surface",
American Journal of Ophthalmology Case Reports,
vol. 20,
pp. 100884,
Dez.
2020.
| DOI: | 10.1016/j.ajoc.2020.100884 |
| Datei: | https://www.sciencedirect.com/science/article/pii/S2451993620301997 |
D. Hüppe,
C. Niederau,
Y. Serfert,
H. Hartmann,
H. Wedemeyer and
F. D. Dhc-R,
"Versorgungsprobleme von Patienten mit chronischer Hepatitis C während der COVID-19-Pandemie und der Lockdown-Verordnungen",
Zeitschrift für Gastroenterologie,
vol. 58,
no. 12,
pp. 1182—1185,
Dez.
2020.
| DOI: | 10.1055/a-1291-8518 |
| Datei: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1291-8518 |
D. Bojkova,
M. Bechtel,
K. McLaughlin,
J. E. McGreig,
K. Klann,
C. Bellinghausen,
G. Rohde,
D. Jonigk,
P. Braubach,
S. Ciesek,
C. Münch,
M. N. Wass,
M. Michaelis and
J. Cinatl,
"Aprotinin Inhibits SARS-CoV-2 Replication",
Cells,
vol. 9,
no. 11,
pp. 2377,
Nov.
2020.
| DOI: | 10.3390/cells9112377 |
| Datei: | https://www.mdpi.com/2073-4409/9/11/2377 |
D. Lindner,
A. Fitzek,
H. Bräuninger,
G. Aleshcheva,
C. Edler,
K. Meißner,
K. Scherschel,
P. Kirchhof,
F. Escher,
H. Schultheiss,
S. Blankenberg,
K. Püschel and
D. Westermann,
"Association of Cardiac Infection With SARS-CoV-2 in Confirmed COVID-19 Autopsy Cases",
JAMA Cardiology,
vol. 5,
no. 11,
pp. 1281—1285,
Nov.
2020.
| DOI: | 10.1001/jamacardio.2020.3551 |
| Datei: | https://doi.org/10.1001/jamacardio.2020.3551 |
J. Sperhake,
"Autopsies of COVID-19 deceased? Absolutely!",
Legal Medicine,
vol. 47,
pp. 101769,
Nov.
2020.
| DOI: | 10.1016/j.legalmed.2020.101769 |
| Datei: | https://www.sciencedirect.com/science/article/pii/S1344622320301036 |
J. Kottlors,
D. Zopfs,
P. Fervers,
J. Bremm,
N. Abdullayev,
D. Maintz,
S. Tritt and
T. Persigehl,
"Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study",
European journal of radiology,
vol. 132,
pp. 109274,
Nov.
2020.
Abstract:
Low-dose computed tomography (LDCT) of the chest is a recommended diagnostic tool in early stage of COVID-19 pneumonia. High age, several comorbidities as well as poor physical fitness can negatively influence the outcome within COVID-19 infection. We investigated whether the ratio of fat to muscle area, measured in initial LDCT, can predict severe progression of COVID-19 in the follow-up period. We analyzed 58 individuals with confirmed COVID-19 infection that underwent an initial LDCT in one of two included centers due to COVID-19 infection. Using the ratio of waist circumference per paravertebral muscle circumference (FMR), the body composition was estimated. Patient outcomes were rated on an ordinal scale with higher numbers representing more severe progression or disease associated complications (hospitalization/ intensive care unit (ICU)/ tracheal intubation/ death) within a follow-up period of 22 days after initial LDCT. In the initial LDCT a significantly higher FMR was found in patients requiring intensive care treatment within the follow-up period. In multivariate logistic regression analysis, FMR (p < .001) in addition to age (p < .01), was found to be a significant predictor of the necessity for ICU treatment of COVID-19 patients. FMR as potential surrogate of body composition and obesity can be easily determined in initial LDCT of COVID-19 patients. Within the multivariate analysis, in addition to patient age, low muscle area in proportion to high fat area represents an additional prognostic information for the patient outcome and the need of an ICU treatment during the follow-up period within the next 22 days. This multicentric pilot study presents a method using an initial LDCT to screen opportunistically for obese patients who have an increased risk for the need of ICU treatment. While clinical capacities, such as ICU beds and ventilators, are more crucial than ever to help manage the current global corona pandemic, this work introduces an approach that can be used for a cost-effective way to help determine the amount of these rare clinical resources required in the near future.
| DOI: | 10.1016/j.ejrad.2020.109274 |
| Datei: | https://pubmed.ncbi.nlm.nih.gov/32961451/ |
Abstract:
Low-dose computed tomography (LDCT) of the chest is a recommended diagnostic tool in early stage of COVID-19 pneumonia. High age, several comorbidities as well as poor physical fitness can negatively influence the outcome within COVID-19 infection. We investigated whether the ratio of fat to muscle area, measured in initial LDCT, can predict severe progression of COVID-19 in the follow-up period. We analyzed 58 individuals with confirmed COVID-19 infection that underwent an initial LDCT in one of two included centers due to COVID-19 infection. Using the ratio of waist circumference per paravertebral muscle circumference (FMR), the body composition was estimated. Patient outcomes were rated on an ordinal scale with higher numbers representing more severe progression or disease associated complications (hospitalization/ intensive care unit (ICU)/ tracheal intubation/ death) within a follow-up period of 22 days after initial LDCT. In the initial LDCT a significantly higher FMR was found in patients requiring intensive care treatment within the follow-up period. In multivariate logistic regression analysis, FMR (p < .001) in addition to age (p < .01), was found to be a significant predictor of the necessity for ICU treatment of COVID-19 patients. FMR as potential surrogate of body composition and obesity can be easily determined in initial LDCT of COVID-19 patients. Within the multivariate analysis, in addition to patient age, low muscle area in proportion to high fat area represents an additional prognostic information for the patient outcome and the need of an ICU treatment during the follow-up period within the next 22 days. This multicentric pilot study presents a method using an initial LDCT to screen opportunistically for obese patients who have an increased risk for the need of ICU treatment. While clinical capacities, such as ICU beds and ventilators, are more crucial than ever to help manage the current global corona pandemic, this work introduces an approach that can be used for a cost-effective way to help determine the amount of these rare clinical resources required in the near future.
K. Püschel,
A. Frenkel,
G. Mull,
H. Birkholz and
C. Hengfoss,
"COVID-19-Prävention: Einsatz von Fieberkameras zum Schutz vor COVID-19",
der kriminalist,
vol. 11-2020,
Nov.
2020.
| Datei: | https://www.bdk.de/der-bdk/was-wir-tun/publikationen/der-kriminalist/der-kriminalist-11-2020 |
P. Lang,
T. Eichholz,
T. Bakchoul,
M. Streiter,
M. Petrasch,
H. Bösmüller,
R. Klein,
A. Rabsteyn,
A. Lang,
C. Adams,
K. Klingel,
M. Gessner,
P. Rosenberger,
P. Ruef and
R. Handgretinger,
"Defibrotide for the Treatment of Pediatric Inflammatory Multisystem Syndrome Temporally Associated With Severe Acute Respiratory Syndrome Coronavirus 2 Infection in 2 Pediatric Patients",
Journal of the Pediatric Infectious Diseases Society,
vol. 9,
no. 5,
pp. 622—625,
Nov.
2020.
| DOI: | 10.1093/jpids/piaa117 |
| Datei: | https://doi.org/10.1093/jpids/piaa117 |
J. Matschke,
M. Lütgehetmann,
C. Hagel,
J. P. Sperhake,
A. S. Schröder,
C. Edler,
H. Mushumba,
A. Fitzek,
L. Allweiss,
M. Dandri,
M. Dottermusch,
A. Heinemann,
S. Pfefferle,
M. Schwabenland,
D. Sumner Magruder,
S. Bonn,
M. Prinz,
C. Gerloff,
K. Püschel,
S. Krasemann,
M. Aepfelbacher and
M. Glatzel,
"Neuropathology of patients with COVID-19 in Germany: a post-mortem case series",
The Lancet Neurology,
vol. 19,
no. 11,
pp. 919—929,
Nov.
2020.
| DOI: | 10.1016/S1474-4422(20)30308-2 |
| Datei: | https://www.sciencedirect.com/science/article/pii/S1474442220303082 |
L. Cantuti-Castelvetri,
R. Ojha,
L. D. Pedro,
M. Djannatian,
J. Franz,
S. Kuivanen,
F. Meer,
K. Kallio,
T. Kaya,
M. Anastasina,
T. Smura,
L. Levanov,
L. Szirovicza,
A. Tobi,
H. Kallio-Kokko,
P. Österlund,
M. Joensuu,
F. A. Meunier,
S. J. Butcher,
M. S. Winkler,
B. Mollenhauer,
A. Helenius,
O. Gokce,
T. Teesalu,
J. Hepojoki,
O. Vapalahti,
C. Stadelmann,
G. Balistreri and
M. Simons,
"Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity",
Science,
vol. 370,
no. 6518,
pp. 856—860,
Nov.
2020.
| DOI: | 10.1126/science.abd2985 |
| Datei: | https://www.science.org/doi/10.1126/science.abd2985 |
S. Meiler,
J. Schaible,
F. Poschenrieder,
G. Scharf,
F. Zeman,
J. Rennert,
B. Pregler,
H. Kleine,
C. Stroszczynski,
N. Zorger and
O. W. Hamer,
"Can CT performed in the early disease phase predict outcome of patients with COVID 19 pneumonia? Analysis of a cohort of 64 patients from Germany",
European journal of radiology,
vol. 131,
pp. 109256,
Okt.
2020.
Abstract:
The aim of this study was to investigate if CT performed in the early disease phase can predict the course of COVID-19 pneumonia in a German cohort. All patients with RT-PCR proven COVID-19 pneumonia and chest CT performed within 10 days of symptom onset between March 1st and April 15th 2020 were retrospectively identified from two tertiary care hospitals. 12 CT features, their distribution in the lung and the global extent of opacifications were evaluated. For analysis of prognosis two compound outcomes were defined: positive outcome was defined as either discharge or regular ward care; negative outcome was defined as need for mechanical ventilation, treatment on intensive care unit, extracorporeal membrane oxygenation or death. Follow-up was performed until June 19th. For statistical analysis uni- und multivariable logistic regression models were calculated. 64 patients were included in the study. By univariable analysis the following parameters predicted a negative outcome: consolidation (p = 0.034), crazy paving (p = 0.004), geographic shape of opacification (p = 0.022), dilatation of bronchi (p = 0.002), air bronchogram (p = 0.013), vessel enlargement (p = 0.014), pleural effusion (p = 0.05), bilateral disease (p = 0.004), involvement of the upper lobes (p = 0.004, p = 0.015) or the right middle lobe (p < 0.001) and severe extent of opacifications (p = 0.002). Multivariable analysis revealed crazy paving and severe extent of parenchymal involvement to be independently predictive for a poor outcome. Easy to assess CT features in the early phase of disease independently predicted an adverse outcome of patients with COVID-19 pneumonia.
| DOI: | 10.1016/j.ejrad.2020.109256 |
| Datei: | https://pubmed.ncbi.nlm.nih.gov/32919265/ |
Abstract:
The aim of this study was to investigate if CT performed in the early disease phase can predict the course of COVID-19 pneumonia in a German cohort. All patients with RT-PCR proven COVID-19 pneumonia and chest CT performed within 10 days of symptom onset between March 1st and April 15th 2020 were retrospectively identified from two tertiary care hospitals. 12 CT features, their distribution in the lung and the global extent of opacifications were evaluated. For analysis of prognosis two compound outcomes were defined: positive outcome was defined as either discharge or regular ward care; negative outcome was defined as need for mechanical ventilation, treatment on intensive care unit, extracorporeal membrane oxygenation or death. Follow-up was performed until June 19th. For statistical analysis uni- und multivariable logistic regression models were calculated. 64 patients were included in the study. By univariable analysis the following parameters predicted a negative outcome: consolidation (p = 0.034), crazy paving (p = 0.004), geographic shape of opacification (p = 0.022), dilatation of bronchi (p = 0.002), air bronchogram (p = 0.013), vessel enlargement (p = 0.014), pleural effusion (p = 0.05), bilateral disease (p = 0.004), involvement of the upper lobes (p = 0.004, p = 0.015) or the right middle lobe (p < 0.001) and severe extent of opacifications (p = 0.002). Multivariable analysis revealed crazy paving and severe extent of parenchymal involvement to be independently predictive for a poor outcome. Easy to assess CT features in the early phase of disease independently predicted an adverse outcome of patients with COVID-19 pneumonia.
D. Gagiannis,
J. Steinestel,
C. Hackenbroch,
B. Schreiner,
M. Hannemann,
W. Bloch,
V. G. Umathum,
N. Gebauer,
C. Rother,
M. Stahl,
H. M. Witte and
K. Steinestel,
"Clinical, Serological, and Histopathological Similarities Between Severe COVID-19 and Acute Exacerbation of Connective Tissue Disease-Associated Interstitial Lung Disease (CTD-ILD)",
Frontiers in Immunology,
vol. 11,
pp. 587517,
Okt.
2020.
| DOI: | 10.3389/fimmu.2020.587517 |
| Datei: | https://www.frontiersin.org/articles/10.3389/fimmu.2020.587517 |
W. L. Wagner,
K. Hellbach,
M. O. Fiedler,
G. A. Salg,
E. Wehrse,
C. H. Ziener,
U. Merle,
C. Eckert,
T. F. Weber,
W. Stiller,
M. O. Wielpütz,
C. Dullin,
H. G. Kenngott,
H. -. Schlemmer,
M. A. Weigand,
P. Schirmacher,
T. Longerich,
H. -. Kauczor,
F. K. -. Kommoss and
C. Schwab,
"Mikrovaskuläre Veränderungen bei COVID-19",
Der Radiologe,
vol. 60,
no. 10,
pp. 934—942,
Okt.
2020.
| DOI: | 10.1007/s00117-020-00743-w |
| Datei: | https://doi.org/10.1007/s00117-020-00743-w |
T. Wiech,
J. Sperhake,
P. F. Zipfel and
T. B. Huber,
"Nierenpathologische Befunde bei COVID-19-Patienten",
Der Klinikarzt,
vol. 49,
no. 10,
pp. 425—428,
Okt.
2020.
| DOI: | 10.1055/a-1262-0048 |
| Datei: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1262-0048 |
H. Goebels,
C. Edler,
A. Fitzek,
J. Schädler,
A. S. Schröder,
I. Kniep and
K. Püschel,
"Obduktionen bei COVID-19. Pathologische Veränderungen und Organmanifestationen.",
Der Klinikarzt,
vol. 49,
no. 10,
pp. 404—408,
Okt.
2020.
| DOI: | 10.1055/a-1260-9966 |
| Datei: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1260-9966 |
I. Kniep,
M. Lutter,
A. Ron,
C. Edler,
K. Püschel,
H. Ittrich,
M. Heller and
A. Heinemann,
"Postmortale Bildgebung der Lunge bei COVID-19-Todesfällen",
Der Radiologe,
vol. 60,
no. 10,
pp. 927—933,
Okt.
2020.
| DOI: | 10.1007/s00117-020-00733-y |
| Datei: | https://doi.org/10.1007/s00117-020-00733-y |
F. Heinrich,
J. Sperhake,
A. Heinemann,
H. Mushumba,
M. Lennartz,
D. Nörz,
M. Glatzel,
M. Lütgehetmann and
K. Püschel,
"Germany’s first COVID-19 deceased: a 59-year-old man presenting with diffuse alveolar damage due to SARS-CoV-2 infection",
Virchows Archiv,
vol. 477,
no. 3,
pp. 335—339,
Sep.
2020.
| DOI: | 10.1007/s00428-020-02872-y |
| Datei: | https://doi.org/10.1007/s00428-020-02872-y |
L. Nicolai,
A. Leunig,
S. Brambs,
R. Kaiser,
T. Weinberger,
M. Weigand,
M. Muenchhoff,
J. C. Hellmuth,
S. Ledderose,
H. Schulz,
C. Scherer,
M. Rudelius,
M. Zoller,
D. Höchter,
O. Keppler,
D. Teupser,
B. Zwißler,
M. Bergwelt-Baildon,
S. Kääb,
S. Massberg,
K. Pekayvaz and
K. Stark,
"Immunothrombotic Dysregulation in COVID-19 Pneumonia Is Associated With Respiratory Failure and Coagulopathy",
Circulation,
vol. 142,
no. 12,
pp. 1176—1189,
Sep.
2020.
| DOI: | 10.1161/CIRCULATIONAHA.120.048488 |
| Datei: | https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.120.048488 |
[en]
M. Gromniak,
M. Neidhardt,
A. Heinemann,
K. Püschel and
A. Schlaefer,
"Needle placement accuracy in CT-guided robotic post mortem biopsy",
Current Directions in Biomedical Engineering,
vol. 6,
no. 1,
Sep.
2020.
| DOI: | 10.1515/cdbme-2020-0031 |
| Datei: | https://www.degruyter.com/document/doi/10.1515/cdbme-2020-0031/html |
H. Bösmüller,
S. Traxler,
M. Bitzer,
H. Häberle,
W. Raiser,
D. Nann,
L. Frauenfeld,
A. Vogelsberg,
K. Klingel and
F. Fend,
"The evolution of pulmonary pathology in fatal COVID-19 disease: an autopsy study with clinical correlation",
Virchows Archiv,
vol. 477,
no. 3,
pp. 349—357,
Sep.
2020.
| DOI: | 10.1007/s00428-020-02881-x |
| Datei: | https://doi.org/10.1007/s00428-020-02881-x |
S. Meiler and
O. W. Hamer,
"Thromboembolic Complications in COVID-19 Pneumonia",
Journal of vascular and interventional radiology : JVIR,
vol. 31,
no. 9,
pp. 1426,
Sep.
2020.
Abstract:
N/A
| DOI: | 10.1016/j.jvir.2020.06.006 |
| Datei: | https://pubmed.ncbi.nlm.nih.gov/32868017/ |
Abstract:
N/A
M. Eckermann,
J. Frohn,
M. Reichardt,
M. Osterhoff,
M. Sprung,
F. Westermeier,
A. Tzankov,
C. Werlein,
M. Kühnel,
D. Jonigk and
T. Salditt,
"3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography",
eLife,
vol. 9,
pp. e60408,
Aug.
2020.
| DOI: | 10.7554/eLife.60408 |
| Datei: | https://doi.org/10.7554/eLife.60408 |
D. Wichmann,
J. Sperhake,
M. Lütgehetmann,
S. Steurer,
C. Edler,
A. Heinemann,
F. Heinrich,
H. Mushumba,
I. Kniep,
A. S. Schröder,
C. Burdelski,
G. Heer,
A. Nierhaus,
D. Frings,
S. Pfefferle,
H. Becker,
H. Bredereke-Wiedling,
A. Weerth,
H. Paschen,
S. Sheikhzadeh-Eggers,
A. Stang,
S. Schmiedel,
C. Bokemeyer,
M. M. Addo,
M. Aepfelbacher,
K. Püschel and
S. Kluge,
"Autopsy Findings and Venous Thromboembolism in Patients With COVID-19",
Annals of Internal Medicine,
vol. 173,
no. 4,
pp. 268—277,
Aug.
2020.
| DOI: | 10.7326/M20-2003 |
| Datei: | https://www.acpjournals.org/doi/10.7326/M20-2003 |
S. Stillfried,
R. D. Bülow,
R. Röhrig,
R. Knüchel-Clarke,
P. Boor and
D. the,
"Autopsy registry can facilitate COVID-19 research",
EMBO Molecular Medicine,
vol. 12,
no. 8,
pp. e12885,
Aug.
2020.
| DOI: | 10.15252/emmm.202012885 |
| Datei: | https://www.embopress.org/doi/full/10.15252/emmm.202012885 |
V. G. Puelles,
M. Lütgehetmann,
M. T. Lindenmeyer,
J. P. Sperhake,
M. N. Wong,
L. Allweiss,
S. Chilla,
A. Heinemann,
N. Wanner,
S. Liu,
F. Braun,
S. Lu,
S. Pfefferle,
A. S. Schröder,
C. Edler,
O. Gross,
M. Glatzel,
D. Wichmann,
T. Wiech,
S. Kluge,
K. Pueschel,
M. Aepfelbacher and
T. B. Huber,
"Multiorgan and Renal Tropism of SARS-CoV-2",
New England Journal of Medicine,
vol. 383,
no. 6,
pp. 590—592,
Aug.
2020.
| DOI: | 10.1056/NEJMc2011400 |
| Datei: | https://www.nejm.org/doi/10.1056/NEJMc2011400 |
F. Braun,
M. Lütgehetmann,
S. Pfefferle,
M. N. Wong,
A. Carsten,
M. T. Lindenmeyer,
D. Nörz,
F. Heinrich,
K. Meißner,
D. Wichmann,
S. Kluge,
O. Gross,
K. Pueschel,
A. S. Schröder,
C. Edler,
M. Aepfelbacher,
V. G. Puelles and
T. B. Huber,
"SARS-CoV-2 renal tropism associates with acute kidney injury",
The Lancet,
vol. 396,
no. 10251,
pp. 597—598,
Aug.
2020.
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Abstract:
Only limited evidence has been available to date on the accuracy of systematic low-dose chest computed tomography (LDCT) use in the diagnosis of COVID-19 in patients with non-specific clinical symptoms. The COVID-19 Imaging Registry Study Aachen (COVID-19-Bildgebungs-Register Aachen, COBRA) collects data on imaging in patients with COVID-19. Two of the COBRA partner hospitals (RWTH Aachen University Hospital and Dueren Hospital) systematically perform reverse transcriptase polymerase chain reaction (RT-PCR) from nasopharyngeal swabs as well as LDCT in all patients presenting with manifestations that are compatible with COVID-19. In accordance with the COV-RADS protocol, the LDCT scans were prospectively evaluated before the RT-PCR findings were available in order to categorize the likelihood of COVID-19. From 18 March to 5 May 2020, 191 patients with COVID-19 manifestations (117 male, age 65 ± 16 years) underwent RT-PCR testing and LDCT. The mean time from the submission of the sample to the availability of the RT-PCR findings was 491 minutes (interquartile range [IQR: 276-1066]), while that from the performance of the CT to the availability of its findings was 9 minutes (IQR: 6-11). A diagnosis of COVID-19 was made in 75/191 patients (39%). The LDCT was positive in 71 of these 75 patients and negative in 106 of the 116 patients without COVID-19, corresponding to 94.7% sensitivity (95% confidence interval [86.9; 98.5]), 91.4% specificity [84.7; 95.8], positive and negative predictive values of 87.7% [78.5; 93.9] and 96.4% [91.1; 98.6], respectively, and an AUC (area under the curve) of 0.959 [0.930; 0.988]. The initial RT-PCR test results were falsely negative in six patients, yielding a sensitivity of 92.0% [83.4; 97.0]; these six patients had positive LDCT findings. 47.4% of the LDCTs that were negative for COVID-19 (55/116) exhibited pathological pulmonary changes, including infiltrates, that were correctly distinguished from SARS-CoV-2 related changes. In patients with symptoms compatible with COVID-19, LDCT can esablish the diagnosis of COVID-19 with comparable sensitivity to RT-PCR testing. In addition, it offers a high specificity for distinguishing COVID-19 from other diseases associated with the same or similar clinical symptoms. We propose the systematic use of LDCT in addition to RT-PCR testing because it helps correct false-negative RT-PCR results, because its results are available much faster than those of RT-PCRtesting, and because it provides additional diagnostic information useful for treatment planning regardless of the type of the infectious agent.
| DOI: | 10.3238/arztebl.2020.0389 |
| Datei: | https://pubmed.ncbi.nlm.nih.gov/32762834/ |
Abstract:
Only limited evidence has been available to date on the accuracy of systematic low-dose chest computed tomography (LDCT) use in the diagnosis of COVID-19 in patients with non-specific clinical symptoms. The COVID-19 Imaging Registry Study Aachen (COVID-19-Bildgebungs-Register Aachen, COBRA) collects data on imaging in patients with COVID-19. Two of the COBRA partner hospitals (RWTH Aachen University Hospital and Dueren Hospital) systematically perform reverse transcriptase polymerase chain reaction (RT-PCR) from nasopharyngeal swabs as well as LDCT in all patients presenting with manifestations that are compatible with COVID-19. In accordance with the COV-RADS protocol, the LDCT scans were prospectively evaluated before the RT-PCR findings were available in order to categorize the likelihood of COVID-19. From 18 March to 5 May 2020, 191 patients with COVID-19 manifestations (117 male, age 65 ± 16 years) underwent RT-PCR testing and LDCT. The mean time from the submission of the sample to the availability of the RT-PCR findings was 491 minutes (interquartile range [IQR: 276-1066]), while that from the performance of the CT to the availability of its findings was 9 minutes (IQR: 6-11). A diagnosis of COVID-19 was made in 75/191 patients (39%). The LDCT was positive in 71 of these 75 patients and negative in 106 of the 116 patients without COVID-19, corresponding to 94.7% sensitivity (95% confidence interval [86.9; 98.5]), 91.4% specificity [84.7; 95.8], positive and negative predictive values of 87.7% [78.5; 93.9] and 96.4% [91.1; 98.6], respectively, and an AUC (area under the curve) of 0.959 [0.930; 0.988]. The initial RT-PCR test results were falsely negative in six patients, yielding a sensitivity of 92.0% [83.4; 97.0]; these six patients had positive LDCT findings. 47.4% of the LDCTs that were negative for COVID-19 (55/116) exhibited pathological pulmonary changes, including infiltrates, that were correctly distinguished from SARS-CoV-2 related changes. In patients with symptoms compatible with COVID-19, LDCT can esablish the diagnosis of COVID-19 with comparable sensitivity to RT-PCR testing. In addition, it offers a high specificity for distinguishing COVID-19 from other diseases associated with the same or similar clinical symptoms. We propose the systematic use of LDCT in addition to RT-PCR testing because it helps correct false-negative RT-PCR results, because its results are available much faster than those of RT-PCRtesting, and because it provides additional diagnostic information useful for treatment planning regardless of the type of the infectious agent.
J. Schaible,
S. Meiler,
F. Poschenrieder,
G. Scharf,
D. Maintz,
B. Pregler,
C. Stroszczynski and
O. W. Hamer,
"Radiology of COVID-19 Pneumonia - Pictorial Essay and Structured Reporting",
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vol. 192,
no. 6,
pp. 513-517,
Jun.
2020.
Abstract:
N/A
| DOI: | 10.1055/a-1164-7001 |
| Datei: | https://pubmed.ncbi.nlm.nih.gov/32460340/ |
Abstract:
N/A