OBJECTIVE: To investigate the effects of using different filters in continuous renal replacement therapy (CRRT) on the mortality, inflammatory mediator level and hemodynamics in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A prospective study was conducted. The patients with SA-AKI undergoing first CRRT admitted to the critical care medicine department of General Hospital of Ningxia Medical University from August 2022 to October 2023 were enrolled as the study objects, and they were divided into observation group and control group by random number table method. All patients received routine treatment including anti-infection, optimized volume management and organ function support. On this basis, the observation group was treated with oXiris filter for CRRT, while the control group was treated with ordinary filter for CRRT, and the first treatment time was ≥ 36 hours. General data of the two groups were collected and compared. At the same time, the inflammatory indicators [high-sensitivity C-reactive protein (hs-CRP), procalcitonin (PCT), interleukin-6 (IL-6)], sequential organ failure assessment (SOFA) score, mean arterial pressure (MAP), blood lactic acid (Lac), noradrenaline dosage and other related indicators were collected before CRRT treatment and 24 hours and 48 hours after treatment, and the 7-day and 28-day mortality of patients were recorded. RESULTS: Finally, 65 patients were enrolled, including 30 in the observation group and 35 in the control group. There were no significant differences in baseline data including age, gender, acute kidney injury (AKI) stage and infection source between the two groups. The 7-day mortality of observation group was significantly lower than that of control group [16.7% (5/30) vs. 42.9% (15/35), P < 0.05]. There was no significant difference in 28-day mortality between the observation group and the control group [36.7% (11/30) vs. 54.3% (19/35), P > 0.05]. There were no significant differences in inflammation indicators, SOFA score, MAP, Lac and norepinephrine dosage before treatment between the two groups. After 24-hour and 48-hour treatment, the hemodynamics of the two groups were stable compared with before treatment, the inflammatory indicators, SOFA score, Lac and norepinephrine dosage were reduced to varying degrees, and MAP was significantly increased. In the observation group, hs-CRP, PCT, IL-6, SOFA score, MAP, and norepinephrine dosage showed statistical significance at 24 hours after treatment as compared with before treatment [hs-CRP (mg/L): 125.0 (105.0, 171.2) vs. 280.5 (213.2, 313.8), PCT (μg/L): 51.0 (20.0, 62.8) vs. 71.0 (10.8, 100.0), IL-6 (ng/L): 1 762.2 (300.8, 4 327.5) vs. 4 447.5 (630.4, 5 000.0), SOFA score: 13.0 (12.0, 14.0) vs. 16.0 (15.0, 17.0), MAP (mmHg, 1 mmHg ≈ 0.133 kPa): 79.00±12.87 vs. 65.20±11.70, norepinephrine dosage (μg×kg^-1×min^-1): 0.82±0.33 vs. 1.63±0.51, all P < 0.05]. In the control group, PCT and MAP showed statistical significance after 48 hours of treatment as compared with before treatment. Compared with the control group, hs-CRP, SOFA score and norepinephrine dosage after 48 hours of treatment in the observation group were significantly decreased [hs-CRP (mg/L): 87.2 (74.2, 126.0) vs. 157.0 (88.0, 200.0), SOFA score: 11.0 (10.0, 12.0) vs. 12.0 (10.0, 14.0), norepinephrine dosage (μg×kg^-1×min^-1): 0.51±0.37 vs. 0.81±0.58, all P < 0.05], MAP was significantly increased (mmHg: 82.00±8.71 vs. 77.77±7.80, P < 0.05). CONCLUSION In the treatment of CRRT, oXiris filter can reduce the short-term mortality of SA-AKI patients, lower inflammatory mediators levels and improve hemodynamics, showing therapeutic advantages over conventional filters.
Humans ; Acute Kidney Injury/etiology* ; Sepsis/therapy* ; Prospective Studies ; Interleukin-6 ; Continuous Renal Replacement Therapy/methods* ; C-Reactive Protein ; Male ; Female ; Middle Aged ; Hemodynamics ; Procalcitonin ; Aged

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Septic acute kidney injury (SAKI) is one of the most common complications of sepsis, and the occurrence of acute kidney injury (AKI) indicates that the patient's condition is critical with a poor prognosis. The traditional view holds that the main mechanism of SAKI is the reduction of renal blood flow, inadequate renal perfusion, inflammatory response, and microcirculatory dysfunction caused by sepsis, which subsequently leads to ischemia and necrosis of renal tubular cells. Recent research findings indicate that processes such as autophagy and other forms of programmed cell death play an increasingly important role. Autophagy is a programmed intracellular degradation process and is a form of programmed cell death. Cells degrade their cytoplasmic components via lysosomes, breaking down and recycling intracellular constituents to meet their metabolic needs, maintain intracellular homeostasis, and renew organelles. During SAKI, autophagy plays a crucial protective role through various mechanisms, including regulating inflammation and immune responses, clearing damaged organelles, and maintaining stability in the intracellular environment. In recent years, the role of autophagy in the pathogenesis and treatment of SAKI has received widespread attention. Research has confirmed that various intracellular signaling pathways and signaling molecules targeting autophagy [such as mammalian target of rapamycin (mTOR) signaling pathway, AMP-activated protein kinase (AMPK) signaling pathway, nuclear factor-κB (NF-κB) signaling pathway, and Sirtuins (SIRT), autophagy associated factor Beclin-1, and Toll-like receptor (TLR)] are involved in the development of SAKI. Due to the complex pathogenesis of SAKI, current treatment strategies include fluid management, infection control, maintenance of internal environment balance, and renal replacement therapy; however, the mortality remains high. In recent years, it has been found that autophagy plays a critical protective role in sepsis-mediated AKI. As a result, an increasing number of drugs are being developed to alleviate SAKI by regulating autophagy. This article reviews the latest advances in the role of autophagy in the pathogenesis and treatment of SAKI, with the aim of providing insights for the development of new drugs for SAKI patients.
Humans ; Acute Kidney Injury/etiology* ; Autophagy ; Sepsis/complications* ; Signal Transduction

Acute kidney injury (AKI) is one of the most common complications in critically ill patients, and sepsis is the main cause of AKI in the intensive care unit (ICU), which can lead to a poor prognosis in severe cases. For patients with sepsis-associated acute kidney injury (SA-AKI) for whom urgent dialysis is indicated, it is now clear that renal replacement therapy (RRT) can be initiated immediately to control disease progression. However, the optimal timing to initiate RRT in patients whose disease is not severe enough to warrant urgent dialysis remains controversial. Some previous studies were small and heterogeneous, and there was a lack of effective reference indicators for guiding RRT in SA-AKI patients. Therefore, this article reviews the relevant experimental studies on the treatment of critically ill patients with AKI in recent years, and reviews the latest research progress on the optimal timing of RRT initiation, in order to provide an effective reference for clinical practice.
Humans ; Acute Kidney Injury/etiology* ; Renal Replacement Therapy/methods* ; Sepsis/therapy* ; Time Factors ; Intensive Care Units

OBJECTIVES: Abdominal aortic aneurysm is a pathological condition in which the abdominal aorta is dilated beyond 3.0 cm. The surgical options include open surgical repair (OSR) and endovascular aneurysm repair (EVAR). Prediction of acute kidney injury (AKI) after OSR is helpful for decision-making during the postoperative phase. To find a more efficient method for making a prediction, this study aims to perform tests on the efficacy of different machine learning models. METHODS: Perioperative data of 80 OSR patients were retrospectively collected from January 2009 to December 2021 at Xiangya Hospital, Central South University. The vascular surgeon performed the surgical operation. Four commonly used machine learning classification models (logistic regression, linear kernel support vector machine, Gaussian kernel support vector machine, and random forest) were chosen to predict AKI. The efficacy of the models was validated by five-fold cross-validation. RESULTS: AKI was identified in 33 patients. Five-fold cross-validation showed that among the 4 classification models, random forest was the most precise model for predicting AKI, with an area under the curve of 0.90±0.12. CONCLUSIONS Machine learning models can precisely predict AKI during early stages after surgery, which allows vascular surgeons to address complications earlier and may help improve the clinical outcomes of OSR.
Humans ; Aortic Aneurysm, Abdominal/complications* ; Endovascular Procedures/methods* ; Retrospective Studies ; Blood Vessel Prosthesis Implantation/adverse effects* ; Acute Kidney Injury/etiology* ; Machine Learning ; Treatment Outcome ; Postoperative Complications/etiology* ; Risk Factors

OBJECTIVE: To establish a prediction model of acute kidney injury (AKI) in moderate and severe burn patients, so as to provide basic research evidence for early identification of burn-related AKI. METHODS: Patients who were admitted to the department of plastic burn surgery of the Affiliated Hospital of Southwest Medical University from November 2018 to January 2021 were selected, and their clinical characteristics, laboratory examinations and other indicators were recorded. Multivariate Logistic regression analysis was used to screen out the risk factors of AKI related to moderate and severe burns, and R software was used to establish the nomogram of moderate and severe burn patients complicated with AKI. The Bootstrap method model was used for internal verification by repeating sample for 1 000 times. Consistency index and calibration curve were used to evaluate the accuracy of the model, and the receiver operator characteristic curve (ROC curve) and the area under the curve (AUC) were used to evaluate the prediction efficiency, decision curve analysis (DCA) was used to evaluate the clinical utility of the model. RESULTS: A total of 186 patients with moderate and severe burn were included, among which 54 patients suffered from AKI, and the incidence rate was 29.03%. Multivariate Logistic regression analysis showed that the total burn surface area [TBSA; odds ratio (OR) = 1.072, 95% confidence interval (95%CI) was 1.031-1.115, P = 0.001], estimated glomerular filtration rate (eGFR; OR = 0.960, 95%CI was 0.931-0.990, P = 0.010), neutrophil (NEU; OR = 1.190, 95%CI was 1.021-1.386, P = 0.026), neutrophil/lymphocyte ratio (NLR; OR = 0.867, 95%CI was 0.770-0.977, P = 0.019), D-dimer (OR = 4.603, 95%CI was 1.792-11.822, P = 0.002) were the risk factors for patients with moderate and severe burn complicated with AKI. Taking the above indexes as predictive factors, a nomogram prediction model was established, the ROC curve was plotted with AUC of 0.998 (95%CI was 0.988-1.000). Optimum threshold of ROC curve was -0.862, the sensitivity was 98.0% and the specificity was 98.2%, and the consistency index was 0.998 (95%CI was 0.988-1.000). The calibration curve showed that the prognostic nomogram model was accurate, DCA showed that most patients can benefit from this model. CONCLUSIONS The burned patients with higher TBSA, NEU, NLR, D-dimer and lower eGFR tend to suffer from AKI. The nomogram based on the above five risk factors has high accuracy and clinical value, which can be used as a predictive tool to evaluate the risk of AKI in moderate and severe burn patients.
Humans ; Prognosis ; Nomograms ; Retrospective Studies ; Burns/complications* ; Acute Kidney Injury/etiology* ; ROC Curve

OBJECTIVE: To investigate the predictive value of pulse infusion index (PPI) in the short-term prognosis of patients with sepsis-induced acute kidney injury (AKI). METHODS: A retrospective cohort study was conducted. The clinical data of patients with sepsis-induced AKI admitted to intensive care unit (ICU) of the First Affiliated Hospital of Soochow University from July 2021 to December 2022 were enrolled. The basic information of the patients were collect, including age, gender, site of infection, underlying disease, mean arterial pressure (MAP) and heart rate (HR) at admission, as well as the use of mechanical ventilation and vasoactive drugs, and norepinephrine (NE) dosage. Laboratory indicators, sequential organ failure assessment (SOFA) score and PPI within 24 hours of admission were also recorded, and the patient's prognosis during ICU hospitalization was also recorded. The differences in clinical data between the patients of two groups with different prognosis were compared. Spearman correlation method was used to analyze the correlation between PPI and SOFA score. Binary multivariate Logistic regression analysis was used to screen independent risk factors for death during ICU hospitalization in sepsis patients with AKI. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive value of PPI for the short-term prognosis of patients with sepsis-induced AKI. RESULTS: A total of 102 patients with sepsis-induced AKI were enrolled, of which 70 patients in the survival group and 32 patients in the death group, with ICU mortality of 31.4. Compared with the survival group, SOFA score, HR, procalcitonin (PCT), serum creatinine (SCr), and NE dosage in the death group were significantly increased [SOFA score: 11.22±2.48 vs. 8.56±2.01, HR (bpm): 103.80±12.47 vs. 97.41±9.73, PCT (μg/L): 9.22 (5.24, 17.84) vs. 6.19 (3.86, 7.71), SCr (μmol/L): 163.2 (104.7, 307.9) vs. 125.5 (89.3, 221.0), Lac (mmol/L): 2.81 (1.95, 4.22) vs. 2.13 (1.74, 2.89), NE usage (μg×kg^-1×min^-1): 0.7 (0.4, 1.1) vs. 0.5 (0.2, 0.6), all P < 0.05], while PPI was significantly lower than that in survival group [0.83 (0.42, 1.55) vs. 1.70 (1.14, 2.20), P < 0.01]. Spearman correlation analysis showed that based on SOFA score, PPI was closely related to the severity of patients with sepsis-induced AKI (r = -0.328, P < 0.05). Binary multivariate Logistic regression analysis showed that PPI [odds ratio (OR) = 0.590, 95% confidence interval (95%CI) was 0.361-0.966, P = 0.002], SOFA score (OR = 1.406, 95%CI was 1.280-1.545, P < 0.001), PCT (OR = 2.061, 95%CI was 1.267-3.350, P = 0.006) were independent risk factors of the short-term prognosis of patients with sepsis-induced AKI. ROC curve analysis showed that the area under the ROC curve (AUC) of PPI for death during ICU hospitalization in patients with sepsis-induced AKI was 0.779 (95%CI was 0.686-0.855, P < 0.001), which superior to PCT (AUC = 0.677, 95%CI was 0.577-0.766, P = 0.004), and similar to SOFA score (AUC = 0.794, 95%CI was 0.703-0.868, P < 0.001). When the cut-off value of PPI was 0.72, the sensitivity was 50.0%, and the specificity was 97.1%. CONCLUSIONS PPI has a good predictive value for the short-term prognosis of patients with sepsis-induced AKI during ICU hospitalization.
Humans ; Heart Rate ; Retrospective Studies ; ROC Curve ; Sepsis/complications* ; Prognosis ; Procalcitonin ; Acute Kidney Injury/etiology* ; Intensive Care Units

Humans ; Retrospective Studies ; Cardiopulmonary Bypass/adverse effects* ; Coronary Artery Bypass/adverse effects* ; Coronary Artery Disease/surgery* ; Acute Kidney Injury/etiology* ; Postoperative Complications ; Risk Factors ; Treatment Outcome

Objective: To investigate the changes of high density lipoprotein cholesterol (HDL-C) in sepsis patients and its early predictive value for secondary acute kidney injury (AKI) in such patients. Methods: A retrospective case series study was conducted. From June 2019 to June 2021, 232 sepsis patients who met the inclusion criteria were admitted to the Second Hospital of Hebei Medical University, including 126 males and 106 females, aged 24 to 71 years. According to whether complicating secondary AKI, the patients were divided into non-AKI group (n=158) and AKI group (n=74). Data of patients between the two groups were compared and statistically analyzed with independent sample t test or chi-square test, including the sex, age, body mass index (BMI), body temperature, heart rate, primary infection site, combined underlying diseases, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score and sepsis-related organ failure assessment (SOFA) score at admission, and the serum levels of C-reactive protein (CRP), procalcitonin, creatinine, cystatin C, and HDL-C measured at diagnosis of sepsis. The multivariate logistic regression analysis was performed on the indicators with statistically significant differences between the two groups to screen the independent risk factors for developing secondary AKI in 232 sepsis patients, and the joint prediction model was established based on the independent risk factors. The receiver operating characteristic (ROC) curve of the independent risk factors and the joint prediction model predicting secondary AKI in 232 sepsis patients were drawn, and the area under the curve (AUC), the optimal threshold, and the sensitivity and specificity under the optimal threshold were calculated. The quality of the above-mentioned AUC was compared by Delong test, and the sensitivity and specificity under the optimal threshold were compared using chi-square test. Results: The sex, age, BMI, body temperature, heart rate, primary infection site, combined underlying diseases, and CRP level of patients between the two groups were similar (P>0.05). The procalcitonin, creatinine, cystatin C, and scores of APACHE Ⅱ and SOFA of patients in AKI group were all significantly higher than those in non-AKI group (with t values of -3.21, -16.14, -12.75, -11.13, and -12.88 respectively, P<0.01), while the HDL-C level of patients in AKI group was significantly lower than that in non-AKI group (t=6.33, P<0.01). Multivariate logistic regression analysis showed that creatinine, cystatin C, and HDL-C were the independent risk factors for secondary AKI in 232 sepsis patients (with odds ratios of 2.45, 1.68, and 2.12, respectively, 95% confidence intervals of 1.38-15.35, 1.06-3.86, and 0.86-2.56, respectively, P<0.01). The AUCs of ROC curves of creatinine, cystatin C, HDL-C, and the joint prediction model for predicting secondary AKI in 232 sepsis patients were 0.69, 0.79, 0.89, and 0.93, respectively (with 95% confidence intervals of 0.61-0.76, 0.72-0.85, 0.84-0.92, and 0.89-0.96, respectively, P values all below 0.01); the optimal threshold were 389.53 μmol/L, 1.56 mg/L, 0.63 mmol/L, and 0.48, respectively; the sensitivity under the optimal threshold were 76.6%, 81.4%, 89.7%, and 95.5%, respectively; the specificity under the optimal threshold values were 78.6%, 86.7%, 88.6%, and 96.6%, respectively. The AUC quality of cystatin C was significantly better than that of creatinine (z=2.34, P<0.05), the AUC quality and sensitivity and specificity under the optimal threshold of HDL-C were all significantly better than those of cystatin C (z=3.33, with χ² values of 6.43 and 7.87, respectively, P<0.01) and creatinine (z=5.34, with χ² values of 6.32 and 6.41, respectively, P<0.01); the AUC quality and sensitivity and specificity under the optimal threshold of the joint prediction model were all significantly better than those of creatinine, cystatin C, and HDL-C (with z values of 6.18, 4.50, and 2.06, respectively, χ² values of 5.31, 7.23, 3.99, 6.56, 7.34, and 4.00, respectively, P<0.05 or P<0.01). Conclusions: HDL-C level in sepsis patients with secondary AKI is significantly lower than that in patients without secondary AKI. This is an independent risk factor for secondary AKI in sepsis patients with a diagnostic value being superior to that of creatinine and cystatin C. The combination of the aforementioned three indicators would have higher predicative valuable for secondary AKI in sepsis patients.
Acute Kidney Injury/etiology* ; Adult ; Aged ; Cholesterol, HDL ; Female ; Humans ; Male ; Middle Aged ; Prognosis ; ROC Curve ; Retrospective Studies ; Sepsis/diagnosis* ; Young Adult

PURPOSE: To investigate the clinical value of urine interleukin-18 (IL-8), neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) for the early diagnosis of acute kidney injury (AKI) in patients with ureteroscopic lithotripsy (URL) related urosepsis. METHODS: A retrospective study was carried out in 157 patients with urosepsis after URL. The patients were divided into AKI group and non-AKI group according to the Kidigo guideline and urine IL-8, NGAL and KIM-1 levels were detected by enzyme-linked immunosorbent assay at 0, 4, 12, 24 and 48 h after the surgery. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of these three biomarkers for postoperative AKI. RESULTS: The level of urine IL-8, NGAL and KIM-1 in AKI group was significantly higher than that in non-AKI group at 4, 12, 24 and 48 h (p < 0.01). The ROC analysis showed the combined detection of urine IL-8, NGAL and KIM-1 at 12 h had a larger area under curve (AUC) than a single marker (0.997, 95% CI: 0.991-0.998), and the sensitivity and specificity were 98.2% and 96.7%, respectively. Pearson correlation analysis showed that the levels of urine NGAL at 4, 12, 24 and 48 h in AKI patients were positively correlated with the levels of urine KIM-1 and IL-18 (p < 0.01). CONCLUSION AKI could be quickly recognized by the elevated level of urine IL-8, NGAL and KIM-1 in patients with URL-related urosepsis. Combined detection of the three urine biomarkers at 12 h after surgery had a better diagnostic performance, which may be an important reference for the early diagnosis of AKI.
Acute Kidney Injury/etiology* ; Biomarkers ; Early Diagnosis ; Hepatitis A Virus Cellular Receptor 1 ; Humans ; Interleukin-18 ; Interleukin-8 ; Lipocalin-2 ; Lithotripsy ; Retrospective Studies ; Ureteroscopy

Acute Kidney Injury/etiology* ; Humans ; Platelet Count ; Rhabdomyolysis/etiology* ; Risk Factors