Incidence Of Acute Kidney Injury In Patients Research Articles

Influence of gender on acute kidney injury among patients undergoing chimeric antigen receptor T-cell (CAR-T cell) therapy: Insights from National Inpatient Sample.

e14524 Background: Chimeric antigen receptor T-cell (CAR-T Cell) immunotherapy has shown promising results in patients with B-cell leukemia and lymphoma and multiple myeloma. The side effect profile is still being studied and acute kidney injury (AKI) following treatment has been a commonly reported outcome in the context of cytokine release syndrome. In most cases, the kidney injury is reversible with adequate hydration and treatment of the underlying cytokine release syndrome when needed. This study aimed to investigate the outcomes of gender in patients undergoing CAR-T cell therapy along with the protective variables and independent predictors of AKI in this patient population. Methods: This was a retrospective analysis of data the National Inpatient Sample (NIS) between January 2019 and December 2020 to identify patients who underwent CAR-T cell therapy. We stratified the data based on gender and studied the incidence of AKI in patient admitted to the hospital primarily for CAR-T cell treatment. The primary endpoint was in-hospital mortality, AKI, average age, length of stay (LOS), and total charge by hospital. Additionally, we explored independent predictors and protective variables for AKI in patients receiving the treatment. Results: A total of 4010 patients underwent CAR-T Cell therapy from January 2019 to December 2020. Among these patients, females comprised 41.1% (n=1650). The mean age at the time of CAR-T cell treatment for males was 57.5 and for females 56.9. The inpatient mortality rates for both groups were 3% (p=0.97). The total incidence of AKI in patients undergoing CAR-T cell therapy was 14.9%, with rates of 19% in males and 9% in females (p<0.01). LOS for males and females was 19 days, and 20 days respectively (p=0.4). Average total hospital charge for males was 958,345 and 1,017,685 for females (p=0.3642). Interestingly, there was no difference between genders in relation to the incidence of cytokine release syndrome (p=0.3). Notably, CKD, obesity, liver disease, and electrolyte imbalances were independent predictors of AKI with an adjusted odds ratio of 4.26 (p<0.01; 95% confidence interval [CI]: 1.7-10.6), 2.7 (p=0.015; 95% CI: 1.2-6.06), 2.7 (p=0.045; 95% CI: 1.02-7.23), 2.5 (p<0.01; 95% CI: 1.67-3.81). Importantly, gender was a protective variable for females when it came to AKI after CAR-T cell therapy with an adjusted odds ratio of 0.38 (p<0.01; 95% CI: 0.23-0.63). Conclusions: AKI has been documented as a common side effect in patients undergoing CAR-T cell therapy. In most cases the kidney injury is reversible with adequate hydration and CRS treatment when necessary. Our study highlights CKD, obesity, liver disease, and electrolyte imbalance as independent predictors of AKI after CAR-T cell therapy and female gender as a predictive variable against developing AKI.

A multicenter clinical study of critically ill patients with sepsis complicated with acute kidney injury in Beijing: incidence, clinical characteristics and outcomes

To investigate the epidemiological characteristics and prognosis of critically ill patients with sepsis combined with acute kidney injury (AKI) in intensive care unit (ICU) in Beijing, and to analyze the risk factors associated with in-hospital mortality among these critically ill patients. Data were collected from the Beijing AKI Trial (BAKIT) database, including 9 049 patients consecutively admitted to 30 ICUs in 28 tertiary hospitals in Beijing from March 1 to August 31, 2012. Patients were divided into non-AKI and non-sepsis group, AKI and non-sepsis group, non-AKI and sepsis group, AKI and sepsis group. Clinical data recorded included demographic characteristics, primary reasons for ICU admission, comorbidities, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II(APACHE II) within 24 hours of ICU admission, physiological and laboratory indexes, treatment in the ICU, AKI staging based on the Kidney Disease: Improving Global Outcomes (KDIGO), as well as the prognostic indicators including length of stay in ICU, length of stay in hospital, ICU and in-hospital mortality. The primary endpoint was discharge or in-hospital death. Multivariate Logistic regression analysis was used to investigate the risk factors for hospital death in ICU patients. Kaplan-Meier survival curve was drawn to analyze the cumulative survival of ICU patients during hospitalization. A total of 3 107 critically ill patients were ultimately enrolled, including 1 259 cases in the non-AKI and non-sepsis group, 931 cases in the AKI and non-sepsis group, 264 cases in the non-AKI and sepsis groups, and 653 cases in the AKI and sepsis group. Compared with the other three group, patients in the AKI and sepsis group were the oldest, had the lowest mean arterial pressure (MAP), and the highest APACHE II score, SOFA score, blood urea nitrogen (BUN), and serum creatinine (SCr) levels, and they also had the highest proportion of receiving mechanical ventilation, requiring vasopressor support, and undergoing renal replacement therapy (RRT), all P < 0.01. Of these 3 107 patients, 1 584 (51.0%) were diagnosed with AKI, and the incidence of AKI in patients with sepsis was significantly higher than in those without sepsis [71.2% (653/917) vs. 42.5% (931/2 190), P < 0.01]. The highest proportion of KDIGO 0 stage was observed in the non-sepsis group (57.5%), while the highest proportion of KDIGO 3 stage was observed in the sepsis group (32.2%). Within the same KDIGO stage, the mortality of patients with sepsis was significantly higher than that of non-sepsis patients (0 stage: 17.8% vs. 3.1%, 1 stage: 36.3% vs. 7.4%, 2 stage: 42.7% vs. 17.1%, 3 stage: 54.6% vs. 28.6%, AKI: 46.1% vs. 14.2%). The ICU mortality (38.7%) and in-hospital mortality (46.1%) in the AKI and sepsis group were significantly higher than those in the other three groups. Kaplan-Meier survival curves further showed that the cumulative survival rate of patients with AKI and sepsis during hospitalization was significantly lower than that of the other three groups (53.9% vs. 96.9%, 85.8%, 82.2%, Log-Rank: χ 2 = 379.901, P < 0.001). Subgroup analysis showed that among surviving patients, length of ICU stay and total length of hospital stay were significantly longer in the AKI and sepsis group than those in the other three groups (both P < 0.01). Multivariate regression analysis showed that age, APACHE II score and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, sepsis, and AKI combined with sepsis were independent risk factors for ICU mortality in patients (all P < 0.05). After adjusting for covariates, AKI, sepsis, and sepsis combined with AKI were significantly associated with higher ICU and in-hospital mortality, with the highest ICU mortality [adjusted odds ratio (OR) = 14.82, 95% confidence interval (95%CI) was 8.10-27.12; Hosmer-Lemeshow test: P = 0.816] and in-hospital mortality (adjusted OR = 7.40, 95%CI was 4.94-11.08; Hosmer-Lemeshow test: P = 0.708) observed in patients with sepsis combined with AKI. The incidence of AKI is high in sepsis patients, and those with both AKI and sepsis have a higher disease burden, more abnormalities in physiological and laboratory indicators, and significantly increased ICU and in-hospital mortality. Among surviving patients, the length of ICU stay and total length of hospital stay are also longer in the AKI and sepsis group. Age, APACHE II score and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, and sepsis are independent risk factors for in-hospital mortality in ICU patients.

#1256 Comparison of clinical characteristics of acute kidney injury between glufosinate and glyphosate poisoning

Abstract Background and Aims There are few studies comparing the clinical characteristics of acute kidney injury (AKI) between glufosinate and glyphosate poisoning. In this study, we investigated the clinical characteristics of AKI in patients with glufosinate and glyphosate poisoning, and compared the clinical features of AKI between two groups. Method This study performed between 2008 and 2021 included 76 patients with glufosinate poisoning and 184 patients with glyphosate poisoning. This study included 76 patients with glufosinate poisoning and 184 patients with glyphosate poisoning in the period from 2008 to 2021. Based on Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease classification, we investigated the incidence, clinical characteristics, and severity of AKI between two groups [(glufosinate-induced AKI (Glu-AKI, n=54) and glyphosate-induced AKI (Gly-AKI, n=82)]. Results The incidence of AKI in patients with glufosinate poisoning is higher than that of glyphosate poisoning (57.5% vs 44.5%, P&amp;lt;0.05). However, there is no difference of AKI severity between two groups (Glu-AKI; Risk 56.2%, Injury 36.9%, Failure 6.9% vs Gly-AKI; Risk 56.2%, Injury 14.6%, Failure 29.2%, P=NS). Comparing two groups, there is also no difference in age (62.6 ± 14.2 years vs. 63.3 ± 16.2 years, P=NS) and renal function on admission (63.9 ± 25.2 mL/min/1.73 m2 vs. 62.2 ± 22.9 mL/min/1.73 m2, P=NS). The length of hospitalization was longer (17.2 ± 17.2 days vs. 10.7 ± 12.1 days, P&amp;lt;0.05) in Glu-AKI group than that of Gly-AKI group. The mortality rate was higher in the Gly-AKI group than Glu-AKI (11.1% vs. 18.3%, P=NS). Multivariate logistic regression analysis showed that serum bicarbonate concentration on admission was a significant predictors of AKI in patients with AKI after glyphosate and glufosinate intoxication. Conclusion Although there is a higher incidence of AKI in glufosinate poisoning, there is no difference in clinical characteristics between the two types of intoxication.

The Effect of Contrast Rationing on the Development of Acute Kidney Injury During the Global Contrast Shortage

BackgroundIn April of 2022, the COVID-19 pandemic resulted in a global shortage of intravenous contrast media (ICM), which led our health care system to implement rationing measures. Study ObjectivesWe set out to determine if the reduction in ICM use was associated with a change in the incidence of acute kidney injury (AKI). MethodsWe conducted a multicenter retrospective cohort analysis to compare the incidence of AKI in patients who presented before and after ICM rationing. Adult patients who had a CT of the abdomen performed who had at least 2 creatinine measurements, at least 24 h apart, were included. The maximum increase in creatinine was determined by subtracting the maximal creatinine obtained within 7 days with the initial creatinine. The primary outcome was the development of AKI. ResultsA total of 2168 patients met inclusion criteria (1082 before; 1086 after). There was no significant difference in age, gender, comorbid conditions, disposition, or initial estimated glomerular filtration rate between groups. In the prerationing group, 87.7% of patients received ICM compared to 42.7% after. There was no significant difference in the development of AKI between groups (11.1% vs. 11.0%), including when stratified by baseline renal function and adjusted for age, sex, race, comorbid conditions, and emergency severity index. ConclusionsThe dramatic reduction in ICM use that resulted from the global shortage was not associated with a change in the incidence of AKI. This reinforces the results of previous studies which have failed to find evidence of a relationship between ICM administration and AKI.

Incidence, risk factors, and outcomes of acute kidney injury in patients undergoing emergency laparotomy - A prospective observational exploratory study.

Acute kidney injury (AKI) can occur in post-laparotomy patients, with a variable incidence. This study aimed to determine the incidence of AKI in patients undergoing emergency laparotomy under general anaesthesia, the effect of preoperative variables on the development of AKI, and the association of post-operative AKI with patient outcomes. This prospective exploratory study in patients undergoing emergency laparotomy was followed up for 7 days to determine the incidence of post-operative AKI. We determined the patients developing different severity of AKI based on kidney disease improving global outcome staging. Fisher's exact test or Chi-squared test was used to study the association of demographic variables, and various periopertaive variables on the development of postoperative AKI. The association of AKI with the duration of hospital stay was estimated using the Wilcoxon-Mann-Whitney U Test, and Fisher's exact test was used to study the association between AKI and mortality. No patient had AKI in the pre-operative period. On day 3, 18 patients; on day 5, 28 patients; and on day 7, 24 patients developed AKI. Overall, a maximum of 33 patients (out of 100) developed AKI at any time. Our study found that the American Society of Anesthesiologists (ASA) IV and sepsis were independent risk factors for post-operative AKI. Our results also show a moderate-to-high independent association between AKI and duration of hospital stay and mortality (within 30 days). Incidence of post-operative AKI following emergency laparotomy was 33%. Higher preoperative ASA physical status and sepsis were significantly associated with postoperative AKI development.

Short-Term Outcomes Following Transcatheter Aortic Valve Implantation: Classical Low-Flow Low-Gradient Versus Normal-Flow Low-Gradient Severe Aortic Stenosis

Background: Both classical severe low-flow low-gradient aortic stenosis (LFLG-AS) and severe normal-flow low-gradient aortic stenosis (NFLG-AS) patients undergo transcatheter aortic valve implantation (TAVI). However, few studies have compared outcomes between the two groups. Our study aimed to assess short term post-TAVI outcomes between classical LFLG-AS and NFLG-AS. Methods: We conducted a retrospective, single-center, analysis of 206 patients who underwent TAVI between January 2011 to September 2020. Of these, 44 (males: 33) had classical LFLG-AS and 162 (males: 89) had NFLG-AS. Six-month primary outcomes included all-cause and cardiovascular mortality. Multiple secondary outcomes were assessed including stroke, myocardial infarction (MI), new-onset atrial fibrillation, acute kidney injury (AKI), major bleeding, vascular complications, and repeat hospitalizations from cardiac causes. Results: The cumulative six-month all-cause and cardiovascular mortality were similar between classical severe LFLG-AS and NFLG-AS patients (6.81 % vs. 4.32 %, P = 0.49 and 2.27 % vs. 2.47 %, P = 0.93 respectively). All secondary outcomes were also similar, except for a statistically significant higher rate of AKI in patients with classical LFLG-AS (P = &lt; 0.0001). Conclusion: Except for a higher incidence of AKI in patients with severe classical LFLG-AS, six-month post-TAVI outcomes did not differ between classical LFLG-AS and NFLG-AS.

Determination of Risk Factors for Postoperative Acute Kidney Injury in Patients With Gynecologic Malignancies.

Background Postoperative acute kidney injury (AKI) is an important cause of mortality and morbidity among surgical patients. There is little information on the occurrence of AKI after operations for gynecologic malignancies. This study aimed to determine the incidence of AKI in patients who underwent surgery for gynecological malignancies and determine the risk factors in those who developed postoperative AKI. Methodology A total of 1,000 patients were enrolled retrospectively from January 2007 to March 2013. AKI was defined according to the Kidney Disease Improving Global Outcomes 2012 Clinical Practice Guideline for Acute Kidney Injury. Perioperative variables of patients were collected from medical charts. Results The incidence of postoperative AKI was 8.8%, with stage 1 occurring in 5.9%, stage 2 in 2.4%, and stage 3 in 0.5% of the patients. Patients who had AKI were significantly older, had higher body mass index (BMI) higher preoperative C-reactive protein (CRP) levels, and more frequently had a history of distant organ metastasis when compared with those who did not have AKI. When compared with patients who did not develop AKI postoperatively, longer operation times and intraoperative usage of higher amounts of erythrocyte suspension and fresh frozen plasma were seen in those who developed AKI. Conclusions Patients who had AKI were older, had higher BMI with higher preoperative CRP levels, more frequent distant organ metastasis, longer operation times, and higher amounts of blood transfused intraoperatively. Defining preoperative, intraoperative, and postoperative risk factors for postoperative AKI and taking necessary precautions are important for the early detection and intervention of AKI.

Acute Kidney Injury Incidence With Bayesian Dosing Software Versus 2-Level First-Order Area Under the Curve-Based Dosing of Vancomycin With Piperacillin-Tazobactam.

Background: Two methods of area under the curve (AUC) dosing are recommended in vancomycin consensus guidelines: first-order calculations utilizing 2 vancomycin concentrations or a Bayesian approach. It is unknown if there is a difference in acute kidney injury (AKI) between the 2 dosing strategies for patients receiving concomitant piperacillin-tazobactam and vancomycin (VPT). Objective: The objective of this study was to compare incidence of AKI in patients being administered VPT with first-order calculations versus model-informed precision dosing (MIPD)/Bayesian dosing. Methods: This was a single-center, retrospective, observational study at a community hospital. Patients who received VPT therapy for at least 48 hours were included. The primary outcome was overall incidence of AKI. Secondary outcomes included percentage target attainment with initial regimen, average serum creatinine increase, time to AKI, usable vancomycin levels, and need for temporary dialysis or intensive care unit admission. Results: There were 100 patients included (50 in the first-order group and 50 in the MIPD/Bayesian group). The overall incidence of AKI was lower in the MIPD/Bayesian group (12% vs 28%, P = 0.046). There was no difference in average serum creatinine increase, time to AKI, need for temporary dialysis, or intensive care unit admission. Patients in the MIPD/Bayesian group had a higher percentage of target attainment (46% vs 18%, P = 0.003) and usable vancomycin levels (98% vs 60%, P < 0.001). Conclusion and Relevance: In patients receiving VPT, model-informed precision dosing with Bayesian modeling resulted in a lower rate of AKI, higher target attainment, and more usable vancomycin levels compared with first-order AUC dosing. The small sample and retrospective nature of this study reinforces the need for additional data.

Venous congestion assessment using the venous excess ultrasound score: strongest predictor of acute kidney injury in patients with acute coronary syndromes

Abstract Funding Acknowledgements Type of funding sources: None. Background Elevated mean central venous pressure is associated with an increased risk of acute kidney injury (AKI) in critically ill patients with a broad spectrum of cardiovascular diseases. Nowadays, it is possible to perform a non-invasive assessment of systemic venous congestion using the Venous Excess Ultrasound Score (VExUS) which may enable early identification of patients with increased risk of adverse renal outcomes. Purpose This study aimed to evaluate the association between venous congestion assessed with VExUS and the incidence of AKI in patients with acute coronary syndrome (ACS). Methods Venous congestion assessment using VExUS was performed in consecutive patients with ACS. Linear regression analysis was used to determine the variables associated with the highest measured serum creatinine (sCr) during hospitalization and the admission sCr. In addition, a multivariable logistic regression analysis was performed for assessing the independent risk factors for AKI, which was defined according to the KDIGO criteria. Results A total of 77 patients hospitalized with ACS were prospectively enrolled in this study. Nineteen (25.6%) patients developed AKI. Baseline chronic kidney disease, Killip-Kimball &amp;gt;II on admission, GRACE score, admission NTproBNP values, and VExUS were significantly higher in the AKI-group than in the non-AKI group. Baseline chronic kidney disease, admission NT-proBNP values, and VExUS were independent risk factors associated with the highest measured sCr and the admission sCr. In multivariable logistic regression analysis, the risk of AKI was significantly associated with baseline chronic kidney disease, admission NT-proBNP values, and VExUS. Conclusion Baseline chronic kidney disease, admission NT-proBNP values, and VExUS were significant independent predictors of AKI in patients with ACS.

Sodium-Glucose Transport Protein 2 Inhibitor Use for Type 2 Diabetes and the Incidence of Acute Kidney Injury in Taiwan

The association between sodium-glucose transport protein 2 inhibitor (SGLT2i) use and the incidence of acute kidney injury (AKI) remains controversial. The benefits of SGLT2i use in patients to reduce AKI requiring dialysis (AKI-D) and concomitant diseases with AKI as well as improve AKI prognosis have not yet been established. To investigate the association between SGLT2i use and AKI incidence in patients with type 2 diabetes (T2D). This nationwide retrospective cohort study used the National Health Insurance Research Database in Taiwan. The study analyzed a propensity score-matched population of 104 462 patients with T2D treated with SGLT2is or dipeptidyl peptidase 4 inhibitors (DPP4is) between May 2016 and December 2018. All participants were followed up from the index date until the occurrence of outcomes of interest, death, or the end of the study, whichever was earliest. Analysis was conducted between October 15, 2021, and January 30, 2022. The primary outcome was the incidence of AKI and AKI-D during the study period. AKI was diagnosed using International Classification of Diseases diagnostic codes, and AKI-D was determined using the diagnostic codes and dialysis treatment during the same hospitalization. Conditional Cox proportional hazard models assessed the associations between SGLT2i use and the risks of AKI and AKI-D. The concomitant diseases with AKI and its 90-day prognosis, ie, the occurrence of advanced chronic kidney disease (CKD stage 4 and 5), end-stage kidney disease, or death, were considered when exploring the outcomes of SGLT2i use. In a total of 104 462 patients, 46 065 (44.1%) were female patients, and the mean (SD) age was 58 (12) years. After a follow-up of approximately 2.50 years, 856 participants (0.8%) had AKI and 102 (<0.1%) had AKI-D. SGLT2i users had a 0.66-fold risk for AKI (95% CI, 0.57-0.75; P < .001) and 0.56-fold risk of AKI-D (95% CI, 0.37-0.84; P = .005) compared with DPP4i users. The numbers of patients with AKI with heart disease, sepsis, respiratory failure, and shock were 80 (22.73%), 83 (23.58%), 23 (6.53%), and 10 (2.84%), respectively. SGLT2i use was associated with lower risk of AKI with respiratory failure (hazard ratio [HR], 0.42; 95% CI, 0.26-0.69; P < .001) and shock (HR, 0.48; 95% CI, 0.23-0.99; P = .048) but not AKI with heart disease (HR, 0.79; 95% CI, 0.58-1.07; P = .13) and sepsis (HR, 0.77; 95% CI, 0.58-1.03; P = .08). The 90-day AKI prognosis for the risk of advanced CKD indicated a 6.53% (23 of 352 patients) lower incidence in SGLT2i users than in DPP4i users (P = .045). The study findings suggest that patients with T2D who receive SGLT2i may have lower risk of AKI and AKI-D compared with those who receive DPP4i.

PS-BPC10-2: A NOVEL PREDICTION MODEL OF ACUTE KIDNEY INJURY BASED ON COMBINED BLOOD VARIABLES IN STEMI

Background: Development of acute kidney injury (AKI) is associated with poor prognosis in patients with ST-segment elevation myocardial infarction (STEMI). Objective: We sought to investigate whether a combination of pre-procedural blood tests could predict the incidence of AKI in patients with STEMI. Methods: A total of 908 consecutive Japanese patients with STEMI who underwent primary percutaneous coronary intervention within 48 hours of symptom onset were recruited and divided into derivation (n = 617) and validation (n = 291) cohorts. A risk-score model was created based on a combination of parameters assessed on routine blood tests on admission. Results: In the derivation cohort, multivariate analysis showed that the following 4 variables were significantly associated with AKI: blood sugar ≧ 200 mg/dL (odds ratio [OR] 2.07), high-sensitive troponin I &gt; 1.6 ng/mL (upper limit of normal × 50) (OR 2.43), albumin ≧ 3.5 mg/dL (OR 2.85) and estimated glomerular filtration rate &lt; 45 mL/min/1.73 m2 (OR 2.64) (Table 1). Zero to four points were given according to the number of those factors. Incremental risk scores were significantly associated with a higher incidence of AKI in both cohorts (p &lt; 0.001) (Figure 1). Receiver operating characteristic curve analysis of risk models showed adequate discrimination between patients with and without AKI (derivation cohort: area under the curve [AUC] 0.754, 95% confidence interval [CI] 0.733 - 0.846; validation cohort: AUC 0.754, 95% CI 0.644 - 0.839) (Figure 2). Conclusions: Our novel laboratory-based model might be useful for early prediction of the post-procedural risk of AKI in patients with STEMI.

Melatonin for prevention of acute kidney injury in patients treated with intravenous polymyxin B: a double-blind, placebo-controlled randomized clinical trial

ObjectivesTo evaluate the effect of melatonin versus placebo on the incidence of acute kidney injury (AKI) in patients treated with polymyxin B. MethodsWe performed a single-centre, double-blind, randomized clinical trial (NCT03725267) of 30-mg oral melatonin versus placebo for patients treated with intravenous polymyxin B. Patients aged ≥18 years receiving polymyxin B for ≤48 hours were eligible. Melatonin or placebo pills were administered until the end of polymyxin B treatment or for a maximum of 14 days. The main outcome was any level of AKI. ResultsEighty-eight patients were randomized: 44 in the melatonin group and 44 in the placebo group. The study ended prematurely because of polymyxin B shortage during the COVID-19 pandemic. The patients' mean age was 63.6 ± 17.3 years, and 60.2% of the patients were men. Forty-six (52.3%, 23 in each group) patients developed AKI during the follow-up period. The incidence rate of AKI was 81.9/1000 and 77.4/1000 patients per day in melatonin and placebo groups, respectively (hazard ratio, 1.09; 95% CI, 0.61–1.94; p 0.78). Renal failure and 30-day mortality were similar between the groups. Moreover, the incidence of AKI was not different in pre-specified sub-groups. DiscussionMelatonin initiated in the first 48 hours of therapy did not reduce the incidence of AKI in patients treated with polymyxin B.

Relationship between piperacillin concentrations, clinical factors and piperacillin/tazobactam-associated acute kidney injury.

Piperacillin/tazobactam, a commonly used antibiotic, is associated with acute kidney injury (AKI). The relationship between piperacillin concentrations and AKI remains unknown. Estimate piperacillin exposures in critically ill children and young adults administered piperacillin/tazobactam to identify concentrations and clinical factors associated with piperacillin-associated AKI. We assessed piperacillin pharmacokinetics in 107 patients admitted to the paediatric ICU who received at least one dose of piperacillin/tazobactam. Piperacillin AUC, highest peak (Cmax) and highest trough (Cmin) in the first 24 hours of therapy were estimated. Piperacillin-associated AKI was defined as Kidney Disease: Improving Global Outcomes (KDIGO) Stage 2/3 AKI present >24 hours after initial piperacillin/tazobactam dose. Likelihood of piperacillin-associated AKI was rated using the Naranjo Adverse Drug Reaction Probability Scale. Multivariable logistic regression was performed to identify patient and clinical predictors of piperacillin-associated AKI. Out of 107 patients, 16 (15%) were rated as possibly or probably having piperacillin-associated AKI. Estimated AUC and highest Cmin in the first 24 hours were higher in patients with piperacillin-associated AKI (2042 versus 1445 mg*h/L, P = 0.03; 50.1 versus 10.7 mg/L, P < 0.001). Logistic regression showed predictors of piperacillin-associated AKI included higher Cmin (OR: 5.4, 95% CI: 1.7-23) and age (OR: 1.13, 95% CI: 1.05-1.25). We show a relationship between estimated piperacillin AUC and highest Cmin in the first 24 hours of piperacillin/tazobactam therapy and piperacillin-associated AKI, suggesting total piperacillin exposure early in the course is associated with AKI development. These data could serve as the foundation for implementation of model-informed precision dosing to reduce AKI incidence in patients given piperacillin/tazobactam.

629. Vancomycin AUC:MIC-Based Dosing is Associated with Significantly Less Acute Kidney Injury in Patients Admitted to a Burn Intensive Care Unit

Abstract Background Vancomycin is often used for empiric coverage of methicillin-resistant Staphylococcus aureus (MRSA). Vancomycin is well known to cause acute kidney injury (AKI), which can be detrimental to patients in the intensive care unit (ICU) setting. In 2020, the American Society of Health-systems Pharmacists updated their vancomycin dosing guidelines to target an area under the plasma concentration-time curve to minimum inhibitory concentration ratio (AUC:MIC) of 400-600 mg*h/L, a change from targeting a trough concentration of 10-20 mg/L. This suggests that vancomycin toxicity is likely minimized using the AUC:MIC ratio. Methods This retrospective cohort study compares the incidence of AKI in patients admitted to the burn ICU dosed to achieve a target to those dosed to achieve an AUC:MIC goal. Incidence of AKI, per the AKIN criteria, was recorded. Known risk factors such as history of hypertension, concomitant furosemide use, pre-existing renal insufficiency, and other concomitant nephrotoxins were considered. All data collected were previously obtained as a part of usual practice. Results Two hundred thirty-six subjects who received 317 courses of vancomycin were included. One hundred twenty courses were dosed to achieve an AUC goal, and 197 courses were dosed to achieve a trough goal. In the AUC group, 49 (57.7%) subjects were admitted for burns, 21 (24.7%) were admitted for necrotizing soft tissue infection (NSTI), and 15 (17.7%) were admitted for other reasons. In the trough group, 97 (64.7%) were admitted for burns, 22 (18.7%) for NSTI, and 25 (16.7%) for other reasons. Demographics were similar between the two groups. The incidence of AKI was 10.3% in the AUC group, as compared to 20.3% in the trough group (p=0.0171). Patients in the AUC group received significantly less vancomycin than in the trough group (3524 ± 1551 vs 3145 ± 1491, p=0.0315). Risk factors for AKI were similar between the two groups (55.6% vs 52.8%, p=0.6347), and concomitant nephrotoxin exposure was similar (52.6% vs 42.7%, p=0.0924). Conclusion Using AUC:MIC-based dosing was associated with a decreased incidence of AKI than trough-based dosing in patients admitted to the burn ICU. Disclosures All Authors: No reported disclosures.

The role of the clinical pharmacist in the prevention of drug-induced acute kidney injury in the intensive care unit.

Acute kidney injury (AKI) is a disorder that is commonly seen in patients in the intensive care unit (ICU) and has a detrimental impact on the patients' clinical prognosis. Although a variety of factors contribute to the development of AKI in patients, drug-induced AKI is a common occurrence in the ICU. With the widespread availability of clinical pharmacy services, the clinical pharmacist's consultation service to the healthcare team aids in the resolution of drug-related issues and the enhancement of therapeutic outcomes. The involvement of a clinical pharmacist in the ICU team is expected to minimize the incidence of drug-induced AKI and enhance therapeutic results. Therefore, the goal of our study was to demonstrate the impact of having a clinical pharmacist on the occurrence, stages, and treatment of AKI. The study included two patient groups: intervention (n=75) (IG) and control (n=75) (CG) groups. The clinical pharmacist has made recommendations to the ICU team regarding the treatment of IG patients on drug selection, drug administration routes, drug dose adjustment, drug-drug interactions, drug-food or nutritional solution interactions, drug side effect management, and drug incompatibility. No interventions were provided by the clinical pharmacist in the CG patients. The clinical pharmacist visited patients regularly and noted the laboratory findings and pharmacological treatments of patients in the study groups on the patient follow-up forms. The obtained data of IG and CG were compared and statistical methods were used to assess them. According to our findings, AKI was found to be more common in CG than in IG (p < 0.05). Stage 1 was shown to be the most common AKI stage in the patients (p > 0.05). The gap between the patients' highest Cr and basal sCr values was less in IG (p < 0.05). When the association between reasons for ICU admission and AKI was investigated, pulmonary edema and acute respiratory failure were found to have a significant and positive relationship with AKI (p < 0.05). Furthermore, it was shown that patients with diabetes and cancer comorbidities were the most vulnerable to developing AKI (p < 0.05). Antibiotics, anaesthetics, and cardiovascular system medication categories were found to have a significant and positive correlation with AKI in patients (p < 0.05). Also, it was revealed that the usage of vancomycin, colistin, ampicillin-sulbactam, clarithromycin, ceftriaxone, midazolam, and dexketoprofen caused AKI (p < 0.05). Our findings demonstrate that if a clinical pharmacist is included in the ICU team and provides consultation services to the ICU team regarding patient treatment by performing regular patient follow-up, the incidence of AKI in patients can be minimized and therapeutic outcomes can be improved.

Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study.

BackgroundThis study sought to develop and validate a dynamic nomogram chart to assess the risk of acute kidney injury (AKI) in patients with acute ischemic stroke (AIS).MethodsThese data were drawn from the Medical Information Mart for Intensive Care III (MIMIC-III) database, which collects 47 clinical indicators of patients after admission to the hospital. The primary outcome indicator was the occurrence of AKI within 48 h of intensive care unit (ICU) admission. Independent risk factors for AKI were screened from the training set using univariate and multifactorial logistic regression analyses. Multiple logistic regression models were developed, and nomograms were plotted and validated in an internal validation set. Based on the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) to estimate the performance of this nomogram.ResultsNomogram indicators include blood urea nitrogen (BUN), creatinine, red blood cell distribution width (RDW), heart rate (HR), Oxford Acute Severity of Illness Score (OASIS), the history of congestive heart failure (CHF), the use of vancomycin, contrast agent, and mannitol. The predictive model displayed well discrimination with the area under the ROC curve values of 0.8529 and 0.8598 for the training set and the validator, respectively. Calibration curves revealed favorable concordance between the actual and predicted incidence of AKI (p > 0.05). DCA indicates the excellent net clinical benefit of nomogram in predicting AKI.ConclusionIn summary, we explored the incidence of AKI in patients with AIS during ICU stay and developed a predictive model to help clinical decision-making.

Renal Involvement in Hospitalized COVID-19 Patients: Epidemiology, Risk Factors, and Correlation with Outcomes

Background: While respiratory tract symptoms are the most frequent reasons for hospital admission in COVID-19 patients, renal involvement is common and is associated with worse outcomes. The aim of this study was to determine the incidence, risk factors and outcome of Acute Kidney Injury (AKI) in hospitalized COVID-19 patients in a referral center.&#x0D; Methods: In a retrospective review, patients hospitalized for COVID-&#x0D; 19 from February 2020 through April 2020 in a referral COVID center were studied. Demographic data, pre-existing comorbidities and drug history, along with laboratory data at presentation and during admission were recorded. AKI was diagnosed based on Kidney Disease Improving Global Outcomes (KDIGO) criteria. Data were analyzed to determine the incidence, risk factors and mortality of AKI.&#x0D; Results: Finally, 200 patients were included, with a mean age of 60.5 years. Of these, 126 (63%) developed AKI and this number was 73.5% among the ICU-admitted patients. Patients who developed AKI were 4.29 times more likely to die. Pre-existing CKD, treatment with immunosuppressant, ICU admission, and the need for hemodialysis, were significantly associated with mortality. Among the eleven renal transplant recipients in this study, we found that a prior renal transplant was not associated with a higher rate of AKI but was significantly associated with increased mortality after correcting for age and gender.&#x0D; Conclusion: Our findings showed a high incidence of AKI in patients admitted due to COVID-19, with a higher risk in ICU patients and it was a significant predictor of mortality. Further research is encouraged to understand the etiology of AKI, along with the long-term outcomes in the patients.

The incidence and outcome of AKI in patients with sepsis in the emergency department applying different definitions of AKI and sepsis

BackgroundSepsis is often accompanied with acute kidney injury (AKI). The incidence of AKI in patients visiting the emergency department (ED) with sepsis according to the new SOFA criteria is not exactly known, because the definition of sepsis has changed and many definitions of AKI exist. Given the important consequences of early recognition of AKI in sepsis, our aim was to assess the epidemiology of sepsis-associated AKI using different AKI definitions (RIFLE, AKIN, AKIB, delta check, and KDIGO) for the different sepsis classifications (SIRS, qSOFA, and SOFA).MethodsWe retrospectively enrolled patients with sepsis in the ED in three hospitals and applied different AKI definitions to determine the incidence of sepsis-associated AKI. In addition, the association between the different AKI definitions and persistent kidney injury, hospital length of stay, and 30-day mortality were evaluated.ResultsIn total, 2065 patients were included. The incidence of AKI was 17.7–51.1%, depending on sepsis and AKI definition. The highest incidence of AKI was found in qSOFA patients when the AKIN and KDIGO definitions were applied (51.1%). Applying the AKIN and KDIGO definitions in patients with sepsis according to the SOFA criteria, AKI was present in 37.3% of patients, and using the SIRS criteria, AKI was present in 25.4% of patients. Crude 30-day mortality, prolonged length of stay, and persistent kidney injury were comparable for patients diagnosed with AKI, regardless of the definition used.ConclusionThe incidence of AKI in patients with sepsis is highly dependent on how patients with sepsis are categorised and how AKI is defined. When AKI (any definition) was already present at the ED, 30-day mortality was high (22.2%). The diagnosis of AKI in sepsis can be considered as a sign of severe disease and helps to identify patients at high risk of adverse outcome at an early stage.

Coronary Angiography Within 48 Hours Before Cardiac Surgery Increases the Risk of Postoperative Acute Kidney Injury.

Cardiac surgery and coronary examination, such as invasive coronary angiography (CAG), are both possibly associated with acute kidney injury (AKI). Preoperative CAG examination and cardiac surgery within a short interval may increase the incidence of AKI. We retrospectively reviewed 1112 patients who underwent CAG examination within 30 days prior to the cardiac operation in this study. Postoperative AKI was defined, according to Kidney Disease Improving Global Outcomes Definition and Staging (KDIGO) criteria. The total incidence of AKI was 40.8% and cystatin C level was 1.260 (1.028, 1.672) mg/L. For patients who received CAG, age, body mass index, cardiopulmonary time, and the time interval between preoperative CAG examination and cardiac operation within 48h was shown to be independent predictors of postoperative AKI. The incidence of AKI in patients undergoing preoperative CAG within 48h was 11.2% higher than in those more than 48h (P < 0.001). Patients undergoing valve surgery with or without coronary artery bypass grafting (CABG) exhibited a higher AKI risk than those only accepting CABG. The in-hospital stay of patients who developed AKI was 2 days longer than those without AKI. However, undergoing CAG within 48h prior to cardiac operation did not prolong ICU length of stay or hospital length of stay, nor did it increase the risk of death or renal failure after an operation. Undergoing CAG within 48 hours before cardiac surgery increases the risk of postoperative AKI.

Risk factors for acute kidney injury after major abdominal surgery in the elderly aged 75 years and above

ObjectivesThe study aimed to investigate the incidence and risk factors of acute kidney injury (AKI) in elderly patients (aged ≥ 75 years) undergoing major nonvascular abdominal surgery.MethodsThe study was a retrospective study that evaluated the incidence of AKI in patients within 48 h after major abdominal surgeries. Patients' preoperative characteristics and intraoperative management, including the use of nephrotoxic medications, were evaluated for associations with AKI using a logistic regression model.ResultsA total of 573 patients were included in our analysis. A total of 33 patients (5.76%) developed AKI, and 30 (90.91%), 2 (6.06%) and 1 (3.03%) reached the AKI stages 1, 2 and 3, respectively. Older age (adjusted OR, aOR 1.112, 95% confidence interval, CI 1.020–1.212), serum albumin (aOR 0.900, 95% CI 0.829–0.977), baseline eGFR (aOR 3.401, 95% CI 1.479–7.820), the intraoperative occurrence of hypotension (aOR 3.509, 95% CI 1.553–7.929), and the use of hydroxyethyl starch in combination with nonsteroidal anti-inflammatory drugs (aOR 3.596, 95% CI 1.559–8.292) or furosemide (aOR 5.724, 95% CI 1.476–22.199) were independent risk factors for postoperative AKI.ConclusionsSeveral risk factors, including intraoperative combined administration of HES and furosemide, are independent factors for AKI during abdominal surgeries. Anesthesiologists and surgeons should take precautions in treating at-risk patients.