scholarly journals Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Jie Yang ◽  
Yisong Cheng ◽  
Ruoran Wang ◽  
Bo Wang

Purposes: Acute kidney injury (AKI) is a common complication in critically ill patients and is usually associated with poor outcomes. Serum osmolality has been validated in predicting critically ill patient mortality. However, data about the association between serum osmolality and AKI is still lacking in ICU. Therefore, the purpose of the present study was to investigate the association between early serum osmolality and the development of AKI in critically ill patients.Methods: The present study was a retrospective cohort analysis based on the medical information mart for intensive care III (MIMIC-III) database. 20,160 patients were involved in this study and divided into six subgroups according to causes for ICU admission. The primary outcome was the incidence of AKI after ICU admission. The association between early serum osmolality and AKI was explored using univariate and multivariate logistic regression analyses.Results: The normal range of serum osmolality was 285–300 mmol/L. High serum osmolality was defined as serum osmolality >300 mmol/L and low serum osmolality was defined as serum osmolality <285 mmol/L. Multivariate logistic regression indicated that high serum osmolality was independently associated with increased development of AKI with OR = 1.198 (95% CL = 1.199–1.479, P < 0.001) and low serum osmolality was also independently associated with increased development of AKI with OR = 1.332 (95% CL = 1.199–1.479, P < 0.001), compared with normal serum osmolality, respectively.Conclusions: In critically ill patients, early high serum osmolality and low serum osmolality were both independently associated with an increased risk of development of AKI.

2019 ◽  
Vol 63 (5) ◽  
Author(s):  
Adam M. Blevins ◽  
Jennifer N. Lashinsky ◽  
Craig McCammon ◽  
Marin Kollef ◽  
Scott Micek ◽  
...  

ABSTRACT Critically ill patients are frequently treated with empirical antibiotic therapy, including vancomycin and β-lactams. Recent evidence suggests an increased risk of acute kidney injury (AKI) in patients who received a combination of vancomycin and piperacillin-tazobactam (VPT) compared with patients who received vancomycin alone or vancomycin in combination with cefepime (VC) or meropenem (VM), but most studies were conducted predominately in the non-critically ill population. A retrospective cohort study that included 2,492 patients was conducted in the intensive care units of a large university hospital with the primary outcome being the development of any AKI. The rates of any AKI, as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, were 39.3% for VPT patients, 24.2% for VC patients, and 23.5% for VM patients (P < 0.0001 for both comparisons). Similarly, the incidences of stage 2 and stage 3 AKI were also significantly higher for VPT patients than for the patients in the other groups. The rates of stage 2 and stage 3 AKI, respectively, were 15% and 6.6% for VPT patients, 5.8% and 1.8% for VC patients, and 6.6% and 1.3% for VM patients (P < 0.0001 for both comparisons). In multivariate analysis, the use of vancomycin in combination with piperacillin-tazobactam was found to be an independent predictor of AKI (odds ratio [OR], 2.161; 95% confidence interval [CI], 1.620 to 2.883). In conclusion, critically ill patients receiving the combination of VPT had the highest incidence of AKI compared to critically ill patients receiving either VC or VM.


2021 ◽  
Author(s):  
Khalid Al Sulaiman ◽  
Abdulrahman Alshaya ◽  
Amjad Alsaeed ◽  
Nadiyah Alshehri ◽  
Ramesh Vishwakarma ◽  
...  

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.


2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S344-S344
Author(s):  
W Cliff Rutter ◽  
David S Burgess

Abstract Background Increased acute kidney injury (AKI) incidence is linked with coadministration of vancomycin (VAN) and piperacillin-tazobactam (TZP) in the general hospital population when compared with VAN and cefepime (FEP); however, this phenomenon was not found in critically ill patients. Methods Patients receiving VAN in combination with FEP or TZP for at least 48 hours during an intensive care unit stay were included in this retrospective review. AKI was defined with the Risk, Injury, Failure, Loss, and End-stage (RIFLE) criteria. Exposure to common nephrotoxins was captured within 24 hours of combination therapy initiation through the entire treatment window. Basic descriptive statistics were performed, along with bivariable and multivariable logistic regression models of AKI odds. Results In total, 2230 patients were included, with 773 receiving FEP+VAN and 1457 receiving TZP+VAN. The groups were well balanced at baseline in most covariates, with the exception of hepatorenal syndrome diagnosis (TZP+VAN 1.4% vs. FEP+VAN 0.3%, P = 0.02) and vasopressor exposure (TZP+VAN 26.2% vs 21.5%, P = 0.01) being more common in the TZP+VAN group. Patients in the FEP+VAN group had a higher underlying severity of disease (Charlson comorbidity index [CCI] 2.7 vs. 2.3, P =0.0002). AKI incidence was higher in the TZP+VAN cohort (35.1% vs. 26.5%, P = 0.00004), with each stratification of the RIFLE criteria being higher. The time until onset of AKI was similar between groups (TZP+VAN median 1 [0–3] days vs. FEP+VAN 1 [0–4] days, P =0.2). After multivariable logistic regression, TZP+VAN therapy was associated with an adjust odds ratio (aOR) of AKI of 1.54 (95% confidence interval [CI] 1.25–1.89) compared with FEP+VAN. Other variables associated with increased odds of AKI included: age &gt;= 65, duration of antibiotic therapy, higher baseline renal function, sepsis, endocarditis, hepatorenal syndrome, thiazide diuretic exposure, and increased CCI. Conclusion Treatment with TZP+VAN is associated with significant increases in AKI incidence among critically ill patients, independent of other risks for AKI. Disclosures All authors: No reported disclosures.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiao-Qin Luo ◽  
Ping Yan ◽  
Ning-Ya Zhang ◽  
Bei Luo ◽  
Mei Wang ◽  
...  

AbstractAcute kidney injury (AKI) is commonly present in critically ill patients with sepsis. Early prediction of short-term reversibility of AKI is beneficial to risk stratification and clinical treatment decision. The study sought to use machine learning methods to discriminate between transient and persistent sepsis-associated AKI. Septic patients who developed AKI within the first 48 h after ICU admission were identified from the Medical Information Mart for Intensive Care III database. AKI was classified as transient or persistent according to the Acute Disease Quality Initiative workgroup consensus. Five prediction models using logistic regression, random forest, support vector machine, artificial neural network and extreme gradient boosting were constructed, and their performance was evaluated by out-of-sample testing. A simplified risk prediction model was also derived based on logistic regression and features selected by machine learning algorithms. A total of 5984 septic patients with AKI were included, 3805 (63.6%) of whom developed persistent AKI. The artificial neural network and logistic regression models achieved the highest area under the receiver operating characteristic curve (AUC) among the five machine learning models (0.76, 95% confidence interval [CI] 0.74–0.78). The simplified 14-variable model showed adequate discrimination, with the AUC being 0.76 (95% CI 0.73–0.78). At the optimal cutoff of 0.63, the sensitivity and specificity of the simplified model were 63% and 76% respectively. In conclusion, a machine learning-based simplified prediction model including routine clinical variables could be used to differentiate between transient and persistent AKI in critically ill septic patients. An easy-to-use risk calculator can promote its widespread application in daily clinical practice.


2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Renske Wiersema ◽  
Ruben J. Eck ◽  
Mikko Haapio ◽  
Jacqueline Koeze ◽  
Meri Poukkanen ◽  
...  

Abstract Background Mortality rates associated with acute kidney injury (AKI) vary among critically ill patients. Outcomes are often not corrected for severity or duration of AKI. Our objective was to analyse whether a new variable, AKI burden, would outperform 1) presence of AKI, 2) highest AKI stage, or 3) AKI duration in predicting 90-day mortality. Methods Kidney Diseases: Improving Global Outcomes (KDIGO) criteria using creatinine, urine output and renal replacement therapy were used to diagnose AKI. AKI burden was defined as AKI stage multiplied with the number of days that each stage was present (maximum five), divided by the maximum possible score yielding a proportion. The AKI burden as a predictor of 90-day mortality was assessed in two independent cohorts (Finnish Acute Kidney Injury, FINNAKI and Simple Intensive Care Studies I, SICS-I) by comparing four multivariate logistic regression models that respectively incorporated either the presence of AKI, the highest AKI stage, the duration of AKI, or the AKI burden. Results In the FINNAKI cohort 1096 of 2809 patients (39%) had AKI and 90-day mortality of the cohort was 23%. Median AKI burden was 0.17 (IQR 0.07–0.50), 1.0 being the maximum. The model including AKI burden (area under the receiver operator curve (AUROC) 0.78, 0.76–0.80) outperformed the models using AKI presence (AUROC 0.77, 0.75–0.79, p = 0.026) or AKI severity (AUROC 0.77, 0.75–0.79, p = 0.012), but not AKI duration (AUROC 0.77, 0.75–0.79, p = 0.06). In the SICS-I, 603 of 1075 patients (56%) had AKI and 90-day mortality was 28%. Median AKI burden was 0.19 (IQR 0.08–0.46). The model using AKI burden performed better (AUROC 0.77, 0.74–0.80) than the models using AKI presence (AUROC 0.75, 0.71–0.78, p = 0.001), AKI severity (AUROC 0.76, 0.72–0.79. p = 0.008) or AKI duration (AUROC 0.76, 0.73–0.79, p = 0.009). Conclusion AKI burden, which appreciates both severity and duration of AKI, was superior to using only presence or the highest stage of AKI in predicting 90-day mortality. Using AKI burden or other more granular methods may be helpful in future epidemiological studies of AKI.


2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110180
Author(s):  
Yu Chen ◽  
Fang Feng ◽  
Xue-ni Chang ◽  
Dong Liu ◽  
Yuan Yuan ◽  
...  

To investigate the epidemiology of acute kidney injury and to clarify the risk factors associated with the prognosis of acute kidney injury in critically ill patients in the Gansu Province. This was a multicenter, retrospective study. The clinical data of all patients from January 1, 2017, to December 31, 2019, in the intensive care unit of the selected hospitals were screened. Descriptive statistical analysis was performed first, and then the patients were divided into a survival group and a nonsurvival group based on survival status at discharge. Univariate and multivariate logistic regression analyses were used to determine the risk factors for in-hospital mortality in patients with acute kidney injury. (1) Among the 8106 patients admitted, a total of 3019 patients were excluded according to the exclusion criteria. Among the included patients, 890 patients met the diagnostic criteria for AKI, with an incidence of 17.5% and mortality of 41.3%. (2) Logistic regression analysis showed that sex, age, AKI stage, infection, cardio-pulmonary resuscitation, cardiac output, mechanical ventilation, diuretics, white blood cells, platelets, blood urea nitrogen, prothrombin time, and activated partial thromboplastin time were significantly associated with the prognosis of acute kidney injury ( p < 0.05). Large-scale epidemiological data from several representative general hospitals in the Gansu Province showed that the incidence and mortality of acute kidney injury in intensive care units were still very high. Trial registration: the Chinese Clinical Trial Registry number is ChiCTR1800016945. Date of registration: 4 July 2018.


2021 ◽  
pp. 1-11
Author(s):  
Meiping Wang ◽  
Bo Zhu ◽  
Li Jiang ◽  
Xuying Luo ◽  
Na Wang ◽  
...  

<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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