Predicting postoperative kidney injury using acute kidney injury risk index among patients who underwent non cardiovascular surgery at FEU-NRMF Medical Center from January 1, 2008 - December 1, 2009 / (Record no. 8214)

MARC details
000 -LEADER
fixed length control field 01750nam a22002537a 4500
003 - CONTROL NUMBER IDENTIFIER
control field MED20090002
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240720152620.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160505b2009 xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency FEU-NRMF MEDICAL LIBRARY
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number MED20090002
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tan, Melanie, MD.
Relator term principal investigator
245 ## - TITLE STATEMENT
Title Predicting postoperative kidney injury using acute kidney injury risk index among patients who underwent non cardiovascular surgery at FEU-NRMF Medical Center from January 1, 2008 - December 1, 2009 /
Statement of responsibility, etc. Melanie Tan, and Delia G. Yang.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Fairview, Quezon City
Name of publisher, distributor, etc. Department of Medicine, FEU-NRMF
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent 23 pages:
Other physical details illustrations;
Dimensions (in folder)
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes appendices and bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT: Postoperative acute kidney injury occurs in ~ 1% of major non cardiovascular surgeries. This increases morbidity, length of hospital stay and cost of care. This study is a cross sectional analytic study using AKIRI in predicting acute kidney injury postoperatively. This was done by chart review of 252 patients who underwent major noncardiac surgery from Janauary 1, 2008 to December 31, 2009. Of the 252, twelve patients (4.8%) had acute kidney injury postoperatively. Six (2.4%) were from AKIRI class IV and six 2.4% were from the class V. a score of >4 in the AKIRI has shown a 94.8% predictive value of acute kidney injury postoperatively. All the variables had significant association with the occourrence of postoperative acute kidney injury
521 ## - TARGET AUDIENCE NOTE
Target audience note Research - Department of Medicine
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Yang, Delia G.,MD.
Relator term supervising investigator
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Research
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Far Eastern University - Nicanor Reyes Medical Foundation Far Eastern University - Nicanor Reyes Medical Foundation Research 03/23/2015   MED 2009 0002 R000347 02/15/2016 07/22/2016 Room Use  
    Library of Congress Classification   Not For Loan Far Eastern University - Nicanor Reyes Medical Foundation Far Eastern University - Nicanor Reyes Medical Foundation Stock Room 02/23/2022   MED 2009 0002 R000752 02/23/2022 02/23/2022 Research draft