Literature DB >> 33550355

[Impact of oliguria during lung surgery on postoperative acute kidney injury].

Z T Meng1, D L Mu1.   

Abstract

OBJECTIVE: To explore the influence of intraoperative urine volume on postoperative acute kidney injury (AKI) and the independent risk factors of AKI.
METHODS: This was a retrospective cohort study recruiting patients who received selective pulmonary resection under general anesthesia in Peking University First Hospital from July, 2017 to June, 2019. The patients were divided into the AKI group and the control group according to whether they developed postoperative AKI or not. Firstly, univariate analysis was used to analyze the relationship between perioperative variables and postoperative AKI. Secondly, receiver operating characteristic (ROC) curve was used to explore the predictive value of intraoperative urine output for postoperative AKI. The nearest four cutoff values [with the interval of 0.1 mL/(kg·h)] at maximum Youden index were used as cutoff values of oliguria. Then univariate analysis was used to explore the relationship between oliguria defined by these four cutoff values and the risk of AKI. And the cutoff value with maximum OR was chosen as the threshold of oliguria in this study. Lastly, the variables with P < 0.10 in the univariate analysis were selected for inclusion in a multivariate Logistic model to analyze the independent predictors of postoperative AKI.
RESULTS: A total of 1 393 patients were enrolled in the study. The incidence of postoperative AKI was 2.2%. ROC curve analysis showed that the area under curve (AUC) of intraoperative urine volume used for predicting postoperative AKI was 0.636 (P=0.009), and the cutoff value of oliguria was 0.785 mL/(kg·h) when Youden index was maximum (Youden index =0.234, sensitivity =48.4%, specificity =75.0%). Furthermore, 0.7, 0.8, 0.9, 1.0 mL/(kg·h) and the traditional cutoff value of 0.5 mL/(kg·h) were used to analyze the influence of oliguria on postoperative AKI. Univariate analysis showed that, when 0.8 mL/(kg·h) was selected as the threshold of oliguria, the patients with oliguria had the most significantly increased risk of AKI (AKI group 48.4% vs. control group 25.3%, OR=2.774, 95%CI 1.357-5.671, P=0.004). Multivariate regression analysis showed that intraoperative urine output < 0.8 mL/(kg·h) was one of the independent risk factors of postoperative AKI (OR=2.698, 95%CI 1.260-5.778, P=0.011). The other two were preoperative hemoglobin ≤120.0 g/L (OR=3.605, 95%CI 1.545-8.412, P=0.003) and preoperative estimated glomerular filtration rate < 30 mL/(min·1.73 m2) (OR=11.009, 95%CI 1.813-66.843, P=0.009).
CONCLUSION: Oliguria is an independent risk fact or of postoperative AKI after pulmonary resection, and urine volume < 0.8 mL/(kg·h) is a possible screening criterium.

Entities:  

Keywords:  Acute kidney injury; Oliguria; Pulmonary surgical procedures; Risk factors; Urine output

Mesh:

Year:  2020        PMID: 33550355      PMCID: PMC7867982     

Source DB:  PubMed          Journal:  Beijing Da Xue Xue Bao Yi Xue Ban        ISSN: 1671-167X


  21 in total

1.  Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values.

Authors:  Andrew S Levey; Josef Coresh; Tom Greene; Jane Marsh; Lesley A Stevens; John W Kusek; Frederick Van Lente
Journal:  Clin Chem       Date:  2007-03-01       Impact factor: 8.327

2.  Classifying AKI by Urine Output versus Serum Creatinine Level.

Authors:  John A Kellum; Florentina E Sileanu; Raghavan Murugan; Nicole Lucko; Andrew D Shaw; Gilles Clermont
Journal:  J Am Soc Nephrol       Date:  2015-01-07       Impact factor: 10.121

3.  Fluid management during video-assisted thoracoscopic surgery for lung resection: a randomized, controlled trial of effects on urinary output and postoperative renal function.

Authors:  Idit Matot; Elia Dery; Yuri Bulgov; Barak Cohen; Joseph Paz; Nachum Nesher
Journal:  J Thorac Cardiovasc Surg       Date:  2013-04-01       Impact factor: 5.209

4.  Oliguria is an early predictor of higher mortality in critically ill patients.

Authors:  Etienne Macedo; Rakesh Malhotra; Josée Bouchard; Susan K Wynn; Ravindra L Mehta
Journal:  Kidney Int       Date:  2011-06-29       Impact factor: 10.612

5.  Prognostic implications of adding urine output to serum creatinine measurements for staging of acute kidney injury after major surgery: a cohort study.

Authors:  Samuel Quan; Neesh Pannu; Todd Wilson; Chad Ball; Zhi Tan; Marcello Tonelli; Brenda R Hemmelgarn; Elijah Dixon; Matthew T James
Journal:  Nephrol Dial Transplant       Date:  2016-12       Impact factor: 5.992

6.  Defining oliguria during cardiopulmonary bypass and its relationship with cardiac surgery-associated acute kidney injury.

Authors:  D Hori; N M Katz; D M Fine; M Ono; V M Barodka; L C Lester; G Yenokyan; C W Hogue
Journal:  Br J Anaesth       Date:  2016-12       Impact factor: 9.166

7.  Acute kidney injury is independently associated with mortality and resource use after emergency general surgery operations.

Authors:  Yas Sanaiha; Behdad Kavianpour; Vishal Dobaria; Alexandra L Mardock; Sarah Rudasill; Robert Lyons; Peyman Benharash
Journal:  Surgery       Date:  2019-10-24       Impact factor: 3.982

8.  Restrictive versus Liberal Fluid Therapy for Major Abdominal Surgery.

Authors:  Paul S Myles; Rinaldo Bellomo; Tomas Corcoran; Andrew Forbes; Philip Peyton; David Story; Chris Christophi; Kate Leslie; Shay McGuinness; Rachael Parke; Jonathan Serpell; Matthew T V Chan; Thomas Painter; Stuart McCluskey; Gary Minto; Sophie Wallace
Journal:  N Engl J Med       Date:  2018-05-09       Impact factor: 91.245

9.  Risk factors of postoperative acute lung injury following lobectomy for nonsmall cell lung cancer.

Authors:  Hyun Jung Kim; Seung Ick Cha; Chang-Ho Kim; Jaehee Lee; Joon Yong Cho; Youngok Lee; Gun-Jik Kim; Deok Heon Lee
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

Review 10.  Acute kidney injury 2016: diagnosis and diagnostic workup.

Authors:  Marlies Ostermann; Michael Joannidis
Journal:  Crit Care       Date:  2016-09-27       Impact factor: 9.097

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