I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
The predictive markers of severity and mortality in hospita..:
Banshodani, Masataka
;
Kawanishi, Hideki
;
Hirai, Takayuki
...
Therapeutic Apheresis and Dialysis. 27 (2023) 4 - p. 701-710 , 2023
Link:
https://doi.org/10.1111/1744-9987.13970
RT Journal T1
The predictive markers of severity and mortality in hospitalized hemodialysis patients with COVID‐19 during Omicron epidemic
UL https://suche.suub.uni-bremen.de/peid=cr-10.1111_1744-9987.13970&Exemplar=1&LAN=DE A1 Banshodani, Masataka A1 Kawanishi, Hideki A1 Hirai, Takayuki A1 Kawai, Yusuke A1 Hashimoto, Shinji A1 Shintaku, Sadanori A1 Moriishi, Misaki A1 Marubayashi, Seiji A1 Tsuchiya, Shinichiro PB Wiley YR 2023 SN 1744-9979 SN 1744-9987 JF Therapeutic Apheresis and Dialysis VO 27 IS 4 SP 701 OP 710 LK http://dx.doi.org/https://doi.org/10.1111/1744-9987.13970 DO https://doi.org/10.1111/1744-9987.13970 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)