The impact of fluid balance on diagnosis, staging and prediction of mortality in critically ill patients with acute kidney injury

2015 ◽  
Vol 29 (2) ◽  
pp. 221-227 ◽  
Author(s):  
Charat Thongprayoon ◽  
Wisit Cheungpasitporn ◽  
Narat Srivali ◽  
Patompong Ungprasert ◽  
Wonngarm Kittanamongkolchai ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Fluid Balance ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Prediction Of Mortality ◽  
The Impact

scholarly journals Fluid balance as a biomarker: impact of fluid overload on outcome in critically ill patients with acute kidney injury

Critical Care ◽  
2008 ◽  
Vol 12 (4) ◽  
pp. 169 ◽  
Author(s):  
Sean M Bagshaw ◽  
Patrick D Brophy ◽  
Dinna Cruz ◽  
Claudio Ronco
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Fluid Balance ◽  
Critically Ill Patients ◽  
Fluid Overload ◽  
Kidney Injury

scholarly journals The Impact of Early Achievement of Therapeutic Levels of Vancomycin in Critically Ill Patients With Confirmed Gram-Positive Infection: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Khalid Al Sulaiman ◽  
Abdulrahman Alshaya ◽  
Amjad Alsaeed ◽  
Nadiyah Alshehri ◽  
Ramesh Vishwakarma ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cohort Study ◽  
Critically Ill ◽  
Retrospective Cohort Study ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Kidney Injury ◽  
Gram Positive ◽  
The Impact ◽  
Trough Levels

Abstract BackgroundVancomycin is a commonly used antibiotic in critically ill patients for various indications. Critical illness imposes pharmacokinetic-pharmacodynamics challenges which makes optimizing vancomycin in this population cumbersome. Data are scarce on the clinical impact of time to therapeutic trough levels of vancomycin in critically ill patients. Objective (s)The aim of this study to evaluate the timing to achieve therapeutic trough level vancomycin on 30-day mortality in critically ill patients.SettingAdult critically ill patients admitted to intensive care units (ICUs) between January 1st, 2017 and December 31st, 2018 at a tertiary teaching hospital.MethodA retrospective cohort study for all adult critically ill patients aged 18 years or older with confirmed gram-positive infection and received vancomycin. We compared early (<48 hours) versus late (≥ 48 hours) attainment of vancomycin therapeutic trough levels. Main outcomesPrimary outcome was the 30-day mortality in critically ill patients. Secondary outcomes were development of resistant organisms, eradicating microorganisms within 4-5 days of vancomycin initiation, vancomycin-induced acute kidney injury (AKI), and ICU LOS. ResultsTwo hundred and nine patients were included. No significant differences between comparative groups in baseline characteristics. Achieving therapeutic levels were associated with better survival at 30 days (OR: 0.48; 95% CI [0.26-0.87]; p<0.01). Additionally, patients who achieved therapeutic levels of vancomycin early were less likely to develop resistant organisms (OR=0.08; 95% CI [0.01-0.59]; p=0.01). Acute kidney injury (AKI) and ICU length of stay (LOS) were not significant between the two groups.ConclusionEarly attainment of vancomycin therapeutic levels was associated with possible survival benefit.

scholarly journals The Association between Red Blood Cell Distribution Width and Mortality in Critically Ill Patients with Acute Kidney Injury

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Benji Wang ◽  
Huaya Lu ◽  
Yuqiang Gong ◽  
Binyu Ying ◽  
Bihuan Cheng
Keyword(s):  
Acute Kidney Injury ◽  
Blood Cell ◽  
Critically Ill ◽  
Red Blood Cell ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Cell Distribution ◽  
Distribution Width ◽  
The Impact ◽  
Red Blood Cell Distribution

Background. Several investigators have sought risk factors for mortality in acute kidney injury (AKI). However, no epidemiological studies have investigated the impact of red blood cell distribution width (RDW) on prognosis for critically ill patients with AKI. The aim of this study was to investigate the association of RDW with mortality in these patients. Methods. We analyzed data from the MIMIC-III. RDW was measured upon ICU admission. The association between RDW and mortality of AKI was determined using a multivariate logistic regression and was expressed as the adjusted odds ratio with associated 95% confidence interval (CI). We also conducted subgroup analyses to determine the consistency of this association. Results. A total of 14,078 critically ill patients with AKI were eligible for this analysis. In multivariate analysis, adjusted for age and gender and compared with the reference group (RDW 11.1-13.4%) related to hospital mortality, the adjusted ORs (95% CIs) for RDW levels 13.5-14.3%, 14.4-15.6%, and 15.7-21.2% were 1.22 (1.05, 1.43), 1.56 (1.35, 1.81), and 2.66 (2.31, 3.06), respectively. After adjusting for confounding factors, with high RDW linked to an increase in mortality (RDW 15.7-21.2% versus 11.1-13.4%: OR, 1.57; 95% CI, 1.22 to 2.01; P trend <0.0001). A similar trend was observed for 30-day mortality. Conclusions. RDW appeared to be an independent prognostic marker in critically ill patients with AKI and higher RDW was associated with increased risk of mortality in these patients.

MO837IMPACT OF DOWNTIME ON CLINICAL OUTCOMES IN CRITICALLY ILL PATIENTS WITH ACUTE KIDNEY INJURY RECEIVING CONTINUOUS RENAL REPLACEMENT THERAPY: A RETROSPECTIVE STUDY USING PROPENSITY SCORE-MATCHED ANALYSIS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Jungho Shin ◽  
Hyun Chul Song ◽  
Jin Ho Hwang ◽  
Su Hyun Kim
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Propensity Score ◽  
Continuous Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Critically Ill ◽  
Fluid Balance ◽  
Critically Ill Patients ◽  
Quality Indicator ◽  
Kidney Injury

Abstract Background and Aims Continuous renal replacement therapy (CRRT) is essential in treating critically ill patients with acute kidney injury, and circuit downtime is considered a quality indicator. However, it remains uncertain whether CRRT downtime affects outcomes such as mortality and renal recovery. This study investigated the impact of downtime on various clinical outcomes in critically ill patients undergoing CRRT. Method A total of 216 patients who underwent CRRT were retrospectively recruited. Downtime was calculated over 4 days from CRRT initiation, and patients were classified as downtime &lt;20% or ≥20% of potential operative time. Patients with ≥20% downtime were matched to those with &lt;20% downtime using 1:2 propensity score matching, adjusting for age, sex, comorbidity index, and severity score. Results There were 88 patients with &lt;20% downtime and 44 patients with ≥20% downtime. The cumulative volume and median flow rate of effluent in patients with ≥20% downtime were lower than those in patients with &lt;20% downtime (P&lt;0.001 and 0.062, respectively). Daily fluid balance differed on days 2 and 3 (P=0.046 and 0.031, respectively), and the difference in levels of urea and creatinine widened over time (P=0.004 and &lt;0.001, day 4). The levels of total carbon dioxide were lower in those with ≥20% downtime (P=0.038 and 0.020 at days 2 and 3). Based on our results, ≥20% downtime was not associated with increased 28-day mortality (P=0.944). On the other hand, a subgroup analysis showed the interaction between downtime and daily fluid balance on mortality (P=0.004). In this study, downtime was not related to renal recovery. Conclusion Increased downtime could impair fluid and uremic control and acidosis management in patients undergoing CRRT. Moreover, the adverse effect of downtime on fluid control may increase mortality rate. Further studies are needed to verify the value of downtime as a quality indicator and its impact on outcomes in critically ill patients requiring CRRT.

scholarly journals Risk Factors for Development of Acute Kidney Injury in Critically Ill Patients: A Systematic Review and Meta-Analysis of Observational Studies

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Rodrigo Cartin-Ceba ◽  
Markos Kashiouris ◽  
Maria Plataki ◽  
Daryl J. Kor ◽  
Ognjen Gajic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
High Risk ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Observational Studies ◽  
Kidney Injury ◽  
Factors Associated ◽  
Meta Analyses ◽  
The Impact

Background. Acute kidney injury (AKI) is a frequent complication of critically ill patients. The impact of different risk factors associated with this entity in the ICU setting is unknown.Objectives. The purpose of this research was to assess the risk factors associated with the development of AKI in critically ill patients by meta-analyses of observational studies.Data Extraction. Two reviewers independently and in duplicate used a standardized form to collect data from published reports. Authors were contacted for missing data. The Newcastle-Ottawa scale assessed study quality.Data Synthesis. Data from 31 diverse studies that enrolled 504,535 critically ill individuals from a wide variety of ICUs were included. Separate random-effects meta-analyses demonstrated a significantly increased risk of AKI with older age, diabetes, hypertension, higher baseline creatinine, heart failure, sepsis/systemic inflammatory response syndrome, use of nephrotoxic drugs, higher severity of disease scores, use of vasopressors/inotropes, high risk surgery, emergency surgery, use of intra-aortic balloon pump, and longer time in cardiopulmonary bypass pump.Conclusion. The best available evidence suggests an association of AKI with 13 different risk factors in subjects admitted to the ICU. Predictive models for identification of high risk individuals for developing AKI in all types of ICU are required.

scholarly journals Association between Latent Trajectories of Fluid Balance and Clinical Outcomes in Critically Ill Patients with Acute Kidney Injury: A Prospective Multicenter Observational Study

2021 ◽  
pp. 1-11
Author(s):  
Meiping Wang ◽  
Bo Zhu ◽  
Li Jiang ◽  
Xuying Luo ◽  
Na Wang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Fluid Balance ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Icu Mortality ◽  
Increased Risk

<b><i>Introduction:</i></b> We aimed to identify different trajectories of fluid balance (FB) and investigate the effect of FB trajectories on clinical outcomes in intensive care unit (ICU) patients with acute kidney injury (AKI) and the dose-response association between fluid overload (FO) and mortality. <b><i>Methods:</i></b> We derived data from the Beijing Acute Kidney Injury Trial (BAKIT). A total of 1,529 critically ill patients with AKI were included. The primary outcome was 28-day mortality, and hospital mortality, ICU mortality and AKI stage were the secondary outcomes. A group-based trajectory model was used to identify the trajectory of FB during the first 7 days. Multivariable logistic regression was performed to examine the relationship between FB trajectories and clinical outcomes. A logistic regression model with restricted cubic splines was used to examine the dose relationship between FO and 28-day mortality. <b><i>Results:</i></b> Three distinct trajectories of FB were identified: low FB (1,316, 86.1%), decreasing FB (120, 7.8%), and high FB (93, 6.1%). Compared with low FB, high FB was associated with increased 28-day mortality (odds ratio [OR] 1.94, 95% confidence interval [CI] 1.17–3.19) and AKI stage (OR 2.04, 95% CI 1.23–3.37), whereas decreasing FB was associated with a reduction in 28-day mortality by approximately half (OR 0.53, 95% CI 0.32–0.87). Similar results were found for the outcomes of ICU mortality and hospital mortality. We observed a J-shaped relationship between maximum FO and 28-day mortality, with the lowest risk at a maximum FO of 2.8% L/kg. <b><i>Conclusion:</i></b> Different trajectories of FB in critically ill patients with AKI were associated with clinical outcomes. An FB above or below a certain range was associated with an increased risk of mortality. Further studies should explore this relationship and search for the optimal fluid management strategies for critically ill patients with AKI.

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