scholarly journals Risk Factors for the Development of Postoperative Acute Kidney Injury in Patients Undergoing Joint Replacement Surgery: A Meta-Analysis

2020 ◽  
Vol 31 (4) ◽  
pp. 703
Author(s):  
Neha Singh ◽  
ParnandiBhaskar Rao ◽  
SujitK Tripathy
2020 ◽  
Author(s):  
Yong Liu ◽  
Shiqun Chen ◽  
Edmund Y. M. Chung ◽  
Li Lei ◽  
Yibo He ◽  
...  

2020 ◽  
Author(s):  
Jie feng Liu ◽  
Hebin Xie ◽  
ziwei ye ◽  
Lesan Wang

Abstract Objective:The incidence and mortality of sepsis-induced acute kidney injury is high. Many studies have explored the causes of sepsis-induced acute kidney injury (AKI). However, its predictors are still uncertain; additionally, a complete overview is missing. A systematic review and a meta-analysis were performed to determine the predisposing factors for sepsis-induced AKI. Method: A systematic literature search was performed in the Medline, Embase, Cochrane Library, PubMed and Web of Science databases, with an end date parameter of May 25, 2019. Valid data were retrieved in compliance with the inclusion and exclusion criteria. Result: Forty-seven observational studies were included for analysis. A cumulative number of 55911sepsis patients were evaluated. The incidence of AKI caused by septic shock is the highest. 30 possible risk factors were included in the meta-analysis. The results showed that 20 factors were found to be significant. The odds ratio(OR),95% confidence interval (CI) and Prevalence of the most prevalent predisposing factors for sepsis-induced AKI were as the following: Septic shock[2.88(2.36-3.52), 60.47%], Hypertension[1.43(1.20-1.70),38.39%), Diabetes mellitus[1.59(1.47-1.71),27.57%],Abdominal infection[1.44(1.32-1.58),30.87%], Vasopressors use[2.95(1.67-5.22),64.61%],vasoactive drugs use [3.85(1.89-7.87),63.22%], Mechanical ventilation[1.64(1.24-2.16),68.00%), Positive blood culture[1.60(1.35-1.89), 41.19%], Smoke history[1.60(1.09-2.36),43.09%]. Other risk factors include cardiovascular, coronary artery disease, liver disease, unknow infection, diuretics use, ACEI or ARB, gram-negative bacteria and organ transplant. Conclusion: A large number of factors are associated with AKI development in sepsis patients. Our review can guide risk-reducing interventions, clinical prediction rules, and patient-specific treatment and management strategies for sepsis-induced acute kidney injury.


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S629-S629
Author(s):  
Niccolo Buetti ◽  
Andrew Atkinson ◽  
Nicolas Troillet ◽  
Marie-Christine Eisenring ◽  
Marcel Zwahlen ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-1388-S-1389
Author(s):  
Paul T. Kröner ◽  
Karn Wijarnpreecha ◽  
Elizabeth S. Aby ◽  
Panadeekarn Panjawatanan ◽  
Denise M. Harnois ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Liu ◽  
Y Liu ◽  
S Chen ◽  
E.Y.M Chung ◽  
L Lei ◽  
...  

Abstract Background Administration of iodinated contrast is common but may be associated with contrast-induced acute kidney injury (CI-AKI), particularly in at-risk patients. There is no recent systematic review of potentially modifiable risk factors. Methods We searched MEDLINE, Embase and the Cochrane Database of Systematic Reviews (to 30 th June 2019) for observational studies assessing risk factors associated with CI-AKI. Twelve potentially modifiable risk factors were finally included in this thematic review and meta-analysis. Random or fixed meta-analysis was performed to derive the adjusted odds ratio (aOR), and the population attributable risk (PAR) was calculated for each risk factor globally and by region. Findings We included 157 studies (2,297,863 participants). The global incidence of CI-AKI was 5.4%. The potentially modifiable risk factors included high contrast volume (PAR 33%), eight cardiovascular risk factors (diuretic use, multivessel coronary artery disease, acute coronary syndrome, hypertension, hypotension, heart failure, reduced left ventricular ejection fraction and intra-aortic balloon pump use) (combined PAR 76.2%) and three noncardiovascular risk factors (renal dysfunction, diabetes mellitus and anaemia) (combined PAR 47.4%) with geographical differences. Bubble chart of the 12 risk factors Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): National Science Foundation of China


Author(s):  
Jef Van den Eynde ◽  
Boris Delpire ◽  
Xander Jacquemyn ◽  
Ismat Pardi ◽  
Hajar Rotbi ◽  
...  

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