Risk Of Acute Kidney Injury In Patients Research Articles

Incidence of acute kidney injury in patients with acute ischaemic stroke undergoing CT angiography (CTA) and CT perfusion (CTP): a systematic review and meta-analysis

Background and purposeWe conducted a systematic review and meta-analysis to assess the incidence of acute kidney injury (AKI) in patients undergoing CT angiography (CTA) and CT perfusion (CTP) for acute...

Risk of acute kidney injury in critically-ill patients with COVID-19 compared with seasonal influenza: a retrospective cohort study

The SARS-CoV-2 virus can bind to angiotensin-converting enzyme 2 receptors on host renal cells and may cause acute kidney injury (AKI). The comparative risks of AKI in patients severely ill with COVID-19 and influenza A have not been examined. This is a retrospective cohort study including patients with positive PCR results for SARS-CoV-2 or influenza A virus admitted to the intensive care units (ICUs) of 15 public hospitals in Hong Kong between 1st January 2013 and 30th April 2023. Patients who were already on chronic dialysis or had missing values in the confounder model were excluded. Data were retrieved from Hong Kong Hospital Authority's electronic healthcare records. The primary outcome was incident AKI during ICU stay. Secondary outcomes included acute kidney disease (AKD) and hospital mortality. All analyses were examined in multivariable regression adjusting for potential confounders (age, sex, baseline eGFR, PaO2/FiO2 ratio, baseline comorbidities, APACHE IV predicted risk of death, Charlson Comorbidity Index, emergent hospital admission, admission from elderly home, reason for ICU admission, presence of bacterial co-infections, use of medications [including vasopressors, antiviral medications, steroids and nephrotoxic antibiotics], as well as anaemia and leucocytosis). Patients were matched in a 1:1 ratio using a propensity score generated based on the full confounder model. The analyses were repeated using inverse probability weighting and in propensity-score matched cohorts. A total of 5495 ICU patients were identified. After excluding 1093 (19.9%) patients who met the exclusion criteria and 74 (1.3%) patients who had one or more missing values in the logistic regression model, a total of 4328 patients were included in the final analysis, with 2787 (64.4%) patients who tested positive for SARS-CoV-2 reverse transcription (RT)-PCR and 1541 (35.6%) patients who tested positive for influenza A virus RT-PCR. The comorbidity burden was greater in patients with COVID-19 (Charlson Comorbidity Index 3 [2-4] vs. 3 [1-4]), but the median APACHE IV predicted risk of death was significantly lower (0.19 [0.08-0.38] vs. 0.25 [0.11-0.52]). A total of 1053 (37.8%) patients with COVID-19 and 828 (53.7%) patients with influenza A developed AKI of any stage during ICU stay. In adjusted analysis, the risk of AKI was significantly lower in patients with COVID-19 compared with influenza A (adjusted odds ratio 0.51, 95% confidence interval 0.42-0.61, P<0.0001]. The risk of stage 3 AKI and AKD were also significantly lower in patients with COVID-19. These results remained robust in multiple pre-planned sensitivity analyses including inverse probability weighting and propensity score matching. Our results suggest that the risk of AKI in patients severely ill with COVID-19 was lower than in patients with influenza A. The burden of concurrent organ failure complicating respiratory viral infections, such as the higher disease-attributable risk of AKI associated with influenza, should be clarified. An unrestricted philanthropic donation from Mr and Mrs Laurence Tse, The Wai Im Charitable Foundation, Chan Sui Kau Family Benefits and Charitable Foundation, So Ka Wing and Lee Sau Ying Charitable Foundation, Mr & Mrs Tam Wing Fun Edmund Renal Research Fund, the Theme-Based Research Scheme of the Research Grants Council, Hong Kong Special Administrative Region, The Government of the Hong Kong Special Administrative Region; Programme of Enhancing Laboratory Surveillance and Investigation of Emerging Infectious Diseases and Antimicrobial Resistance for the Department of Health of the Hong Kong Special Administrative Region Government; Emergency COVID-19 Project, Major Projects on Public Security, National Key Research and Development Program; Emergency Collaborative Project of Guangzhou Laboratory; the National Key Research and Development Program of China; Sanming Project of Medicine in Shenzhen China; and the High Level-Hospital Program, Health Commission of Guangdong Province, China.

Self-controlled Case Series Study for Acute Kidney Injury after Starting Proton Pump Inhibitors or Potassium-Competitive Acid Blocker in Patients with Cancer Using a Large Claims Database.

To investigate the risk of acute kidney injury (AKI) in patients with cancer following the initiation of proton pump inhibitors (PPIs) and potassium-competitive acid blocker (PCAB), considering sex and anti-cancer drug use. We conducted a self-controlled case-series study using the Japan Medical Data Center claims data from 12422 patients with cancer who were prescribed PPIs or PCAB between January 2017 and December 2019. Considering the timing of PPI or PCAB, control period (days -120 to -1), risk period 1 (days 0 to +30), and risk period 2 (days +31 to +365) were defined. To assess the incidence rate ratio (IRR) and 95% confidence interval (CI) as the risk ratio, we adjusted for anti-cancer drugs to assess the risk of AKI. Additionally, we also examined sex differences to identify the risk of AKI. AKI was observed in risk period 1 [2.05 (1.12-3.72), p = 0.0192], but a slight reduction was noted in risk period 2 [0.60 (0.36-1.00), p = 0.0481]. A sex-specific increase in the risk of AKI was observed only in males during risk period 1 [2.18 (1.10-4.32), p = 0.0260], with a reduction in risk period 2 [0.48 (0.26-0.89), p = 0.0200]. We identified an increased risk of AKI in patients with cancer starting PPIs or PCAB particularly in males within 30 d after PPI or PCAB initiation, emphasizing the need for vigilant monitoring and management of AKI in this patient population.

Effects of 24-hour urine-output trajectories on the risk of acute kidney injury in critically ill patients with cirrhosis: a retrospective cohort analysis

Background Acute kidney injury (AKI) is one of the most common complications for critically ill patients with cirrhosis, but it has remained unclear whether urine output fluctuations are associated with the risk of AKI in such patients. Thus, we explored the influence of 24-h urine-output trajectory on AKI in patients with cirrhosis through latent category trajectory modeling. Materials and Methods This retrospective cohort study examined patients with cirrhosis using the MIMIC-IV database. Changes in the trajectories of urine output within 24 h after admission to the intensive care unit (ICU) were categorized using latent category trajectory modeling. The outcome examined was the occurrence of AKI during ICU hospitalization. The risk of AKI in patients with different trajectory classes was explored using the cumulative incidence function (CIF) and the Fine-Gray model with the sub-distribution hazard ratio (SHR) and the 95% confidence interval (CI) as size effects. Results The study included 3,562 critically ill patients with cirrhosis, of which 2,467 (69.26%) developed AKI during ICU hospitalization. The 24-h urine-output trajectories were split into five classes (Classes 1–5). The CIF curves demonstrated that patients with continuously low urine output (Class 2), a rapid decline in urine output after initially high levels (Class 3), and urine output that decreased slowly and then stabilized at a lower level (Class 4) were at higher risk for AKI than those with consistently moderate urine output (Class 1). After fully adjusting for various confounders, Classes 2, 3, and 4 were associated with a higher risk of AKI compared with Class 1, and the respective SHRs (95% CIs) were 2.56 (1.87–3.51), 1.86 (1.34–2.59), and 1.83 1.29–2.59). Conclusions The 24-h urine-output trajectory is significantly associated with the risk of AKI in critically ill patients with cirrhosis. More attention should be paid to the dynamic nature of urine-output changes over time, which may help guide early intervention and improve patients’ prognoses.

Patient characteristics associated with acute kidney injury following coronary angiography

Objective The objective of this study was to identify patient characteristics associated with acute kidney injury (AKI) post-coronary angiography with or without percutaneous coronary intervention. Methods This retrospective, single-center study analyzed 350 patients from October 1, 2017 to September 30, 2018. The primary endpoint was AKI, defined as a rise in creatinine >0.3 mg/dL within 48 hours of coronary angiography. Results AKI occurred in 41 of 350 patients (8.8%). Patients experiencing AKI had a higher incidence of hypertension (100%; P = 0.005), hyperlipidemia (98%; P = 0.001), diabetes mellitus (68%; P = 0.0005), and heart failure (37%; P = 0.0057). AKI occurred in 30 of 185 (16%) and 11 of 165 (6.7%) patients undergoing femoral and radial access, respectively. AKI incidence was not significantly affected by contrast dose (99 ± 9 vs 93 ± 3 mL; P = 0.52), fluoroscopy time (10.3 min [IQR 6.3, 17.7] vs 8.5 min [IQR 4.5, 13.9]; P = 0.2), or preprocedural computed tomography with contrast (P = 0.66). Multivariable regression showed significantly higher AKI among patients with peripheral artery disease (odds ratio [OR] = 12.4; 95% confidence interval [CI] 3.4–33.6; P = 0.0001), multivessel coronary artery disease (OR = 11.9; 95% CI 2.3–61.1; P = 0.003), and initial creatinine >1.5 mg/dL (OR = 4.4; 95% CI 1.4–13.6; P = 0.01). Conclusion Peripheral artery disease, multivessel disease, and creatinine >1.5 mg/dL were associated with a higher risk of AKI in patients undergoing coronary angiography in this single-center retrospective cohort.

Influence of vasopressin receptor antagonists on triple-whammy acute kidney injury: A VigiBase analysis.

Although diuretics play an important role in triple-whammy acute kidney injury (AKI), it is unclear whether the type of diuretic influences the risk of triple-whammy AKI. The aim of this study was to evaluate whether vasopressin receptor antagonists affect triple-whammy AKI. This cross-sectional study used disproportionality analysis of VigiBase data to assess the risk of AKI with various diuretics. Although multiple logistic regression analysis showed that aldosterone antagonists (odds ratio [OR] 2.19, 95% CI 2.01-2.37), loop diuretics (OR 4.40, 95% CI 4.07-4.76) and thiazide diuretics (OR 1.98, 95% CI 1.83-2.15) increased the risk of AKI in patients who received non-steroidal anti-inflammatory drugs (NSAIDs) and renin-angiotensin system inhibitors (RASi), vasopressin receptor antagonists did not increase the risk of AKI in those patients. Vasopressin receptor antagonists might not influence the development of triple-whammy AKI.

MicroRNA-599-Regulated Susceptibility to Acute Kidney Injury in Patients with Cirrhosis is Mediated by the Sirtuin 1 (SIRT1) rs4746720 Single Nucleotide Polymorphism.

The aim of this case-control study was to analyze the association between sirtuin 1 (SIRT1) single nucleotide polymorphism (SNP) and the risk of acute kidney injury (AKI) in Han Chinese patients with cirrhosis and to explore its potential mechanism. Twenty-nine AKI patients with cirrhosis (AKI group) and 87 non-AKI patients with cirrhosis (control group) were recruited from a Han Chinese population. SNaPshot sequencing technology was used for the detection of SNPs. Dual luciferase reporter vectors were constructed and co-transfected into HK-2 human proximal tubular epithelial cells. SIRT1-overexpressing recombinant plasmids were constructed and co-transfected into HK-2 cells. The expression of microRNA-599 (miR-599) and SIRT1/peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC-1α)/nuclear respiratory factor 1 (NRF1)/mitochondrial transcription factor A (TFAM) was detected by the quantitative polymerase chain reaction, and the expression of the corresponding proteins was detected by Western blotting. There were no statistically significant between-group differences in the genotype and allele frequencies of SIRT1 rs4746720. In the subgroup of patients with hepatic encephalopathy, the SIRT1 rs4746720 SNP was significantly associated with the development of AKI, and the risk of AKI in patients with the T allele was six times higher than in those with the C allele. The results of the in vitro experiments demonstrated that the T allele of SIRT1 rs4746720 increased the binding of miR-599 to the rs4746720 locus within the 3'-UTR of SIRT1 (p < 0.001). The results of the SIRT1-overexpressing recombinant plasmid experiments confirmed that the T allele of SIRT1 rs4746720 mediated the binding of miR-599, leading to decreased SIRT1 and PGC-1α, NRF1, and TFAM (p < 0.05). The SIRT1 rs4746720 SNP might be linked with AKI in cirrhotic patients, and the T allele increased the risk of AKI in those with hepatic encephalopathy. The rs4746720 SNP in the SIRT1 3'-UTR is linked to the development of AKI in cirrhotic patients with hepatic encephalopathy, potentially by mediating the binding of miR-599.

Correlation between angiotensin and acute kidney injury in patients with sepsis.

The aim of the study was to analyze the changes in angiotensin (Ang) levels in patients with sepsis complicated with acute kidney injury (AKI) and evaluate the relationship between Ang and AKI. Prospective research methods were used in this study. A total of 66 sepsis patients admitted to the Intensive care Unit (ICU) of the First Hospital of Hebei Medical University from October 2020 to January 2021 were enrolled. According to the occurrence of AKI, patients were divided into the sepsis-associated AKI (SA-AKI) group and the non-AKI group. The levels of Ang-1 and Ang-2 were compared between the two groups. The relationship between Ang and glomerular filtration rate (GFR) in sepsis patients was studied by correlation analysis. Plasma Ang-1 in the SA-AKI group was significantly higher than that in the non-AKI group (0.39±1.05 ng/ml vs. 0.10±0.24 ng/ml, p=0.039). The Ang-2/Ang-1 in the SA-AKI group was lower than that in the non-AKI group with a significant difference (52.55±191.38 vs. 349.50±327.49, p=0.001). Correlation analysis indicated that Ang-1 was negatively correlated with GFR (r=-0.12, p=0.031), while Ang-2/Ang-1 was positively correlated with GFR (r=0.21, p<0.001). The Ang-2 was positively correlated with GFR (r=0.204, p<0.001) CONCLUSIONS: Plasma Ang-1 and Ang-2 levels are suggestive for assessing the risk of AKI in patients with sepsis.

Association between the triglyceride glucose (TyG) index and the risk of acute kidney injury in critically ill patients with heart failure: analysis of the MIMIC-IV database

BackgroundInsulin resistance (IR) can be effectively assessed using the dependable surrogate biomarker triglyceride-glucose (TyG) index. In various critical care contexts, like contrast-induced acute kidney injury (AKI), an elevated TyG index has demonstrated a robust correlation with the incidence of AKI. Nonetheless, the potential of the TyG index to predict AKI in critically ill patients with heart failure (HF) remains uncertain.MethodsA cohort of participants was non-consecutively selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and divided into quartiles based on their TyG index values. The incidence of AKI was the primary outcome. The secondary endpoint was in-hospital mortality within both the whole study population and the subset of AKI patients. The use of the renal replacement therapy (RRT) which represented the progression of AKI severity was also included as a secondary endpoint representing renal outcome. A restricted cubic splines model and Cox proportional hazards models were utilized to evaluate the association of TyG index with the risk of AKI in patients with HF in a critical condition. Kaplan-Meier survival analysis was employed to estimate primary and secondary endpoint disparities across groups differentiated by their TyG index.ResultsThis study included a total of 1,393 patients, with 59% being male. The incidence of AKI was 82.8%. Cox proportional hazards analyses revealed a significant association between TyG index and the incidence of AKI in critically ill patients with HF. The restricted cubic splines model illustrated the linear relationship between higher TyG index and increased risk of AKI in this specific patient population. Furthermore, the Kaplan-Meier survival analyses unveiled statistically significant differences in the use of RRT across the subset of AKI patients based on the quartiles of the TyG index.ConclusionsThe results highlight the TyG index as a robust and independent predictor of the incidence of AKI and poor renal outcome in patients with HF in a critical condition. However, further confirmation of causality necessitates larger prospective studies.

Personalized prediction of acute kidney injury in patients with pancreatic necrosis

Relevance. The incidence of acute pancreatitis is growing worldwide, being one of the leading causes of hospitalization in urgent surgery. The most common complication of pancreatic necrosis (PN) in the aseptic phase is acute kidney injury (AKI), which is an independent risk factor for an unfavorable outcome.The objective was to develop a personalized risk model for AKI in the aseptic phase of pancreatic necrosis.Materials and methods. A comparative cohort study of the results of treatment of 502 patients with pancreatic necrosis was conducted. The primary endpoint was considered to be the development of AKI, for the development of a personalized model of the probability of its development in sterile pancreatic necrosis, binary logistic regression analysis was used.Results. A model of independent variables was developed that reliably (p &lt; 0.001) determined that with an increase in age by 1 year, the probability of developing AKI increased by 2.3%, and with a history of chronic kidney disease in a patient – by 3.2 times.The same model demonstrates that the risk of AKI in patients with pancreatic necrosis with an increase in glomerular filtration rate by 1 ml·min–1·1.73 m2 and with the use of balanced crystalloid solutions decreased by 5.0% and 3.0 times, respectively.The specificity of the model was 79.8%, sensitivity – 79.1%.Conclusion. The proposed model makes it possible to reliably predict the individual risk of AKI on the first day of hospitalization.

Predicting AKI in patients with AMI: Development and assessment of a new predictive nomogram.

Acute kidney injury (AKI) is a common complication of acute myocardial infarction (AMI) and is associated with both long- and short-term consequences. This study aimed to investigate relevant risk variables and create a nomogram that predicts the probability of AKI in patients with AMI, so that prophylaxis could be initiated as early as possible. Data were gathered from the medical information mart for the intensive care IV database. We included 1520 patients with AMI who were admitted to the coronary care unit or the cardiac vascular intensive care unit. The primary outcome was AKI during hospitalization. Independent risk factors for AKI were identified by applying least absolute shrinkage and selection operator regression models and multivariate logistic regression analyses. A multivariate logistic regression analysis was used to build a predictive model. The discrimination, calibration, and clinical usefulness of the prediction model were assessed using C-index, calibration plot, and decision curve analysis. Internal validation was assessed using bootstrapping validation. Of 1520 patients, 731 (48.09%) developed AKI during hospitalization. Hemoglobin, estimated glomerular filtration rate, sodium, bicarbonate, total bilirubin, age, heart failure, and diabetes were identified as predictive factors for the nomogram construction (P < .01). The model displayed good discrimination, with a C-index of 0.857 (95% CI:0.807-0.907), and good calibration. A high C-index value of 0.847 could still be reached during interval validation. Decision curve analysis showed that the AKI nomogram was clinically useful when the intervention was determined at an AKI possibility threshold of 10%. The nomogram constructed herein can successfully predict the risk of AKI in patients with AMI early and provide critical information that can facilitate prompt and efficient interventions.

Association between input/weight ratio and acute kidney injury in obese critical ill patients: a propensity analysis of multicenter clinical databases.

Rehydration volume may be underestimated in obese critically ill patients, which can lead to acute kidney injury (AKI). This study aimed to investigate the association between input/weight ratio (IWR) and AKI risk in obese critical patients. This retrospective observational study analyzed data from three large open databases. Patients were divided into lean and obese groups and matched 1:1 based on age, sex, APACHE II score, SOFA score, sepsis status, mechanical ventilation status, renal replacement therapy status, and hospital type. The exposure of interest was the mean IWR during the first three ICU admission days. The primary outcome was the incidence of AKI within 28days after ICU admission. Cox regression analysis was used to evaluate the association between IWR and AKI risk. A total of 82,031 eligible patients were included in the study, with 25,427 obese patients matched with 25,427 lean patients. The IWRs were significantly lower in the obese groups in both the unmatched cohort (35.85 ± 19.05 vs. 46.01 ± 30.43ml/kg, p < 0.01) and the matched cohort (36.13 ± 19.16 vs. 47.34 ± 31.13ml/kg, p < 0.01). An increase in IWR was significantly associated with decreased creatinine levels, increased urine output and a lower AKI risk. The interaction terms of IWR and obesity were significantly associated with decreased AKI incidence in both the unmatched cohort (hazard ratio [HR] = 0.97, 95% CI 0.96-0.97, p < 0.01) and the matched cohort (HR = 0.97, 95% CI 0.96-0.97, p < 0.01). Inadequate rehydration of patients with obesity may contribute to an increased risk of AKI in patients with obesity. These results highlight the need for better rehydration management in patients with obesity.

Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery

Acute kidney injury (AKI) is a common postoperative complication among patients in the neurological intensive care unit (NICU), often resulting in poor prognosis and high mortality. In this retrospective cohort study, we established a model for predicting AKI following brain surgery based on an ensemble machine learning algorithm using data from 582 postoperative patients admitted to the NICU at the Dongyang People's Hospital from March 1, 2017, to January 31, 2020. Demographic, clinical, and intraoperative data were collected. Four machine learning algorithms (C5.0, support vector machine, Bayes, and XGBoost) were used to develop the ensemble algorithm. The AKI incidence in critically ill patients after brain surgery was 20.8%. Intraoperative blood pressure; postoperative oxygenation index; oxygen saturation; and creatinine, albumin, urea, and calcium levels were associated with the postoperative AKI occurrence. The area under the curve value for the ensembled model was 0.85. The accuracy, precision, specificity, recall, and balanced accuracy values were 0.81, 0.86, 0.44, 0.91, and 0.68, respectively, indicating good predictive ability. Ultimately, the models using perioperative variables exhibited good discriminatory ability for early prediction of postoperative AKI risk in patients admitted to the NICU. Thus, the ensemble machine learning algorithm may be a valuable tool for forecasting AKI.

Association of Radial Artery Access with Reduced Incidence of Acute Kidney Injury

Introduction: Acute kidney injury (AKI) is a common complication that can occur after invasive cardiac procedures. This condition can cause significant morbidity and mortality, especially in high-risk patients, such as those with preexisting renal dysfunction. Objectives: The main objective of the study is to find the association of radial artery access with reduced incidence of acute kidney injury. Material and methods: The study is conducted at the Department of Cardiology, Hayatabad Medical Complex, Peshawar. This is a tertiary care center that provides cardiac care services to a large population of the Khyber Pakhtunkhwa province of Pakistan. The center has state-of-the-art facilities and a team of experienced cardiologists and cardiac surgeons who perform a variety of cardiac procedures, including PCI and CABG. Results: Based on a study of 300 patients undergoing cardiac catheterization, there was a significant association between the use of radial artery access and reduced incidence of acute kidney injury (AKI). The study found that 20% of patients who underwent femoral artery access developed AKI, compared to only 10% of patients who underwent radial artery access. This indicates that radial artery access may be a safer option for cardiac catheterization procedures, as it may help reduce the risk of AKI in patients. Conclusion: In conclusion, the present study provides evidence that radial artery access is associated with a lower incidence of acute kidney injury (AKI) in patients undergoing percutaneous coronary intervention (PCI).

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.

What Promotes Acute Kidney Injury in Patients with Myocardial Infarction and Multivessel Coronary Artery Disease-Contrast Media, Hydration Status or Something Else?

Multivessel coronary artery disease (MVCAD) is found in approximately 50% of patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although we have data showing the benefits of revascularization of significant non-culprit coronary lesions in patients with AMI, the optimal timing of angioplasty remains unclear. The most common reason for postponing subsequent percutaneous treatment is the fear of contrast-induced acute kidney injury (CI-AKI). Acute kidney injury (AKI) is common in patients with AMI undergoing PCI, and its etiology appears to be complex and incompletely understood. In this review, we discuss the definition, pathophysiology and risk factors of AKI in patients with AMI undergoing PCI. We present the impact of AKI on the course of hospitalization and distant prognosis of patients with AMI. Special attention was paid to the phenomenon of AKI in patients undergoing multivessel revascularization. We analyze the correlation between increased exposure to contrast medium (CM) and the risk of AKI in patients with AMI to provide information useful in the decision-making process about the optimal timing of revascularization of non-culprit lesions. In addition, we present diagnostic tools in the form of new biomarkers of AKI and discuss ways to prevent and mitigate the course of AKI.

The incidence and risk factors for acute kidney injury in patients treated with immune checkpoint inhibitors.

Recent observational studies reported acute kidney injury (AKI) events in over 10% of the patients treated with immune checkpoint inhibitors (ICIs). However, these studies included patients treated in high-resource settings and earlier lines. Therefore, we aimed to assess the AKI rates and predisposing factors in ICI-treated patients from a limited resource setting. We evaluated 252 patients with advanced cancer for this retrospective cohort study. AKI events were defined by Kidney Disease Improving Global Outcomes criteria. The median age was 59 years. The melanoma (18.3%), non-small cell lung cancer (14.7%) and renal cell carcinoma (22.6%) patients comprised over half of the cohort. During the follow-up, 45 patients (17.9%) had at least one AKI episode. In multivariable analyses, patients with chronic kidney disease (CKD) [odds ratio (OR), 3.385; 95% confidence interval (CI), 1.510-7.588; P = 0.003], hypoalbuminemia (OR, 2.848; 95% CI, 1.225-6.621; P = 0.015) or renin-angiotensin-aldosterone system (RAAS) inhibitor use (OR, 2.236; 95% CI, 1.017-4.919; P = 0.045) had increased AKI risk. There was a trend towards increased AKI risk in patients with diabetes (OR, 2.042; 95% CI, 0.923-4.518; P = 0.78) and regular proton pump inhibitors use (OR, 2.024; 95% CI, 0.947-4.327; P = 0.069). In this study, we observed AKI development under ICIs in almost one in five patients with cancer. The increased AKI rates in CKD, hypoalbuminemia or RAAS inhibitor use pointed out a need for better onco-nephrology collaboration and efforts to improve the nutritional status of ICI-treated patients.

129: BLOOD PRESSURE REDUCTION AND RISK OF ACUTE KIDNEY INJURY IN PATIENTS WITH AORTIC SYNDROMES

Introduction: Acute kidney injury (AKI) occurs frequently in patients with aortic dissection and is associated with increased hospitalization and early mortality. It is unclear whether AKI is a consequence of the aortic syndrome itself or attributable to rapid hemodynamic changes that result from strict blood pressure and heart rate goals. The objective of this study was to evaluate the effect of systolic blood pressure (SBP) reduction on risk of AKI in patients with aortic syndromes, with the hypothesis that patients who experience AKI will have a higher magnitude of SBP reduction. Methods: This was a single-center, retrospective cohort study conducted at an academic medical center. Patients were ≥18 years old, hospitalized from January 1, 2015 to December 31, 2021 with an aortic syndrome, and treated with antihypertensive infusions. The primary outcome was the difference between maximum SBP reduction in the no-AKI and AKI group at 4, 8, 12, and 24 hours. Secondary outcomes were accuracy of maximum SBP reduction in predicting AKI and the optimal SBP cutoff that predicts AKI. Student’s t-test was used to compare maximum SBP reduction between cohorts. Receiver operating characteristic (ROC) analysis was used for the secondary outcomes. Area under the curve (AUC) and SBP cutoff point were calculated as part of the ROC analysis. Chi-squared test was used to calculate risk of AKI when exceeding the SBP cutoff. Results: A total of 71 patients were analyzed (n = 48, no-AKI; n = 23, AKI). Seventy-six percent of patients had Type B aortic dissection, and mean SBP at baseline was 176 ±26 mmHg. For the primary outcome, there was a significant difference in maximum SBP reduction at all time points between the no-AKI and AKI group (4 hours, 47 vs 70 mmHg; 8 hours, 56 vs 82 mmHg; 12 hours, 62 vs 87 mmHg; 24 hours, 69 vs 95 mmHg; p < 0.001 for all comparisons). Maximum SBP reduction over 4, 8, 12, and 24 hours yielded an AUC-ROC of 0.77, 0.80, 0.79, and 0.79, respectively. Lowering SBP ≥54 mmHg within the first 4 hours significantly increased risk of AKI (OR, 6.65; 95% confidence interval, 1.88-19.72; p < 0.001). Conclusions: Patients with aortic syndromes who experience AKI have a higher magnitude of SBP reduction than those who do not experience AKI. Maximum SBP reduction appears to be an accurate predictor of AKI.

Kidney Dysfunction After Traumatic Brain Injury: Pathophysiology and General Management.

Traumatic brain injury (TBI) remains a major cause of mortality and morbidity, and almost half of these patients are admitted to the intensive care unit. Of those, 10% develop acute kidney injury (AKI) and 2% even need kidney replacement therapy (KRT). Although clinical trials in patients with TBI who have AKI are lacking, some general principles in this population may apply. The present review is an overview on the epidemiology and pathophysiology of AKI in patients with TBI admitted to the intensive care unit who are at risk for or who have developed AKI. A cornerstone in severe TBI management is preventing secondary brain damage, in which reducing the intracranial pressure (ICP) and optimizing the cerebral perfusion pressure (CPP) remain important therapeutic targets. To treat episodes of elevated ICP, osmolar agents such as mannitol and hypertonic saline are frequently administered. Although we are currently awaiting the results of a prospective randomized controlled trial that compares both agents, it is important to realize that both agents have been associated with an increased risk of developing AKI which is probably higher for mannitol compared with hypertonic saline. For the brain, as well as for the kidney, targeting an adequate perfusion pressure is important. Hemodynamic management based on the combined use of intravascular fluids and vasopressors is ideally guided by hemodynamic monitoring. Hypotonic albumin or crystalloid resuscitation solutions may increase the risk of brain edema, and saline-based solutions are frequently used but have a risk of hyperchloremia, which might jeopardize kidney function. In patients at risk, frequent assessment of serum chloride might be advised. Maintenance of an adequate CPP involves the optimization of circulating blood volume, often combined with vasopressor agents. Whether individualized CPP targets based on cerebrovascular autoregulation monitoring are beneficial needto be further investigated. Interestingly, such individualized perfusion targets are also under investigation in patients as a strategy to mitigate the risk for AKI in patients with chronic hypertension. In the small proportion of patients with TBI who need KRT, continuous techniques are advised based on pathophysiology and expert opinion. The need for KRT is associated with a higher risk of intracranial hypertension, especially if osmolar clearance occurs fast, which can even occur in continuous techniques. Precise ICP and CPP monitoring is mandatory, especially at the initiation of KRT.

Characteristics of risk factors for acute kidney injury among inpatients administered sulfamethoxazole/trimethoprim: a retrospective observational study

BackgroundSulfamethoxazole/trimethoprim (SMX/TMP) potentially increases the serum creatinine levels, resulting in acute kidney injury (AKI). However, the clinical characteristics of the AKI associated with SMX/TMP and the risk factors for its development have not been fully characterized.MethodsA retrospective cohort observational analysis was conducted on adult inpatients who started SMX/TMP treatment at the Tokyo Women’s Medical University, Yachiyo Medical Center, from April 2018 to March 2020. The primary outcome was AKI, defined as an increase in serum creatinine level of ≥ 50% from baseline. Multivariate logistic regression analysis was used to determine the risk factors for the AKI associated with SMX/TMP.ResultsOf the 281 patients, 32 (11.4%) developed AKI. The multivariate logistic regression analysis identified that body mass index (BMI) (odds ratio [OR] = 0.86, 95% confidence interval [95% CI] 0.76–0.97, p < 0.01), presence of hypertension (OR = 2.69, 95% CI 1.11–6.49, p = 0.02), SMX/TMP daily dose (OR = 1.16, 95% CI 1.03–1.30, p = 0.02), and concomitant loop diuretic use (OR = 2.91, 95% CI 1.08–7.78, p = 0.04) were the associated risk factors for AKI in patients who were administered SMX/TMP.ConclusionsThis study showed that low BMI, hypertension, high-dose SMX/TMP, and concomitant loop diuretic use increased the risk of AKI in patients administered SMX/TMP. Clinicians should consider monitoring the renal function in patients at a high risk of AKI.