Early Postoperative Use of Diuretics After Kidney Transplantation Showed Increase in Delayed Graft Function

2020 ◽  
Vol 30 (2) ◽  
pp. 95-102
Author(s):  
Wolfgang Baar ◽  
Kai Kaufmann ◽  
Kai Silbach ◽  
Bernd Jaenigen ◽  
Przemyslaw Pisarski ◽  
...  

Purpose: In acute renal injury, diuretics are widely considered to be harmful. Nevertheless, they are used frequently after kidney transplantation. We hypothesized that diuretics administered in the early postoperative treatment after kidney transplantation increase the incidence of delayed graft function (DGF). Methods: In this monocentric, retrospective cohort analysis, we screened the closed files of all consecutive patients who underwent kidney transplantation from 2011 to 2017. The outcome variable was DGF, defined as at least 1 hemodialysis within 7 days postoperatively. To stratify for baseline characteristics such as waiting time or cold ischemic period, we employed a propensity score-matched analysis. Further statistical processing included basic descriptive statistics, Mann-Whitney U test, and binary logistic regression analysis. Results: The unmatched cohort included 445 patients and showed a significantly increased rate of DGF for patients who received either furosemide or mannitol or a combination of both (5% vs 25%; P < .001). Mannitol (odds ratio [OR]: 4.094) and furosemide (OR: 2.915) showed a significant correlation with DGF in the multivariate regression analysis. Propensity score-based matching resulted in a matched cohort of 214 patients with balanced baseline risk variables. In this matched cohort, the rate of DGF was significantly increased in patients who received diuretics in the early postoperative treatment (7% vs 16%; P = .031). Conclusion: Our results show that postoperatively administered diuretics are associated with an increased rate of DGF even in a cohort with balanced preoperative risk variables. This study supports recently published reviews, which call diuretics in the transplantation process into question.

Author(s):  
Laura Jahn ◽  
Christiane Rüster ◽  
Mandy Schlosser ◽  
Yvonne Winkler ◽  
Susan Foller ◽  
...  

2021 ◽  
pp. 100629
Author(s):  
Valeria Mezzolla ◽  
Paola Pontrelli ◽  
Marco Fiorentino ◽  
Alessandra Stasi ◽  
Rossana Franzin ◽  
...  

Author(s):  
Gaon-Sorae Wang ◽  
Kyoung-Min You ◽  
You-Hwan Jo ◽  
Hui-Jai Lee ◽  
Jong-Hwan Shin ◽  
...  

(1) Background: Sepsis is a life-threatening disease, and various demographic and socioeconomic factors affect outcomes in sepsis. However, little is known regarding the potential association between health insurance status and outcomes of sepsis in Korea. We evaluated the association of health insurance and clinical outcomes in patients with sepsis. (2) Methods: Prospective cohort data of adult patients with sepsis and septic shock from March 2016 to December 2018 in three hospitals were retrospectively analyzed. We categorized patients into two groups according to their health insurance status: National Health Insurance (NHI) and Medical Aid (MA). The primary end point was in-hospital mortality. The multivariate logistic regression model and propensity score matching were used. (3) Results: Of a total of 2526 eligible patients, 2329 (92.2%) were covered by NHI, and 197 (7.8%) were covered by MA. The MA group had fewer males, more chronic kidney disease, more multiple sources of infection, and more patients with initial lactate > 2 mmol/L. In-hospital, 28-day, and 90-day mortality were not significantly different between the two groups and in-hospital mortality was not different in the subgroup analysis. Furthermore, health insurance status was not independently associated with in-hospital mortality in multivariate analysis and was not associated with survival outcomes in the propensity score-matched cohort. (4) Conclusion: Our propensity score-matched cohort analysis demonstrated that there was no significant difference in in-hospital mortality by health insurance status in patients with sepsis.


1998 ◽  
Vol 30 (5) ◽  
pp. 2293 ◽  
Author(s):  
U Hanack ◽  
T Lorf ◽  
F Braun ◽  
C Grupp ◽  
B Sattler ◽  
...  

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