OBJECTIVE: To investigate the predictive value of inflammatory indicator and serum cystatin C (Cys C) for the prognosis of patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A prospective observational study was conducted. Patients with SA-AKI admitted to the intensive care unit (ICU) of the General Hospital of Ningxia Medical University from January 2022 to December 2023 were selected as the study subjects. General patient data, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), inflammatory indicator, and serum Cys C levels were collected. The 28-day survival status of the patients was observed. A multivariate Logistic regression model was used to analyze the risk factors affecting the poor prognosis of SA-AKI patients. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive efficacy of each risk factor for the prognosis of SA-AKI patients. RESULTS: A total of 111 SA-AKI patients were included, with 65 patients (58.6%) in the survival group and 46 patients (41.4%) in the death group. The SOFA score, APACHE II score, interleukin-6 (IL-6), procalcitonin (PCT), hypersensitive C-reactive protein (hs-CRP), and serum Cys C levels in the death group were significantly higher than those in the survival group [SOFA score: 15.00 (14.00, 17.25) vs. 14.00 (11.00, 16.00), APACHE II score: 26.00 (23.75, 28.00) vs. 23.00 (18.50, 28.00), IL-6 (ng/L): 3 731.00±1 573.61 vs. 2 087.93±1 702.88, PCT (μg/L): 78.19±30.35 vs. 43.56±35.37, hs-CRP (mg/L): 266.50 (183.75, 326.75) vs. 210.00 (188.00, 273.00), serum Cys C (mg/L): 2.01±0.61 vs. 1.62±0.50, all P < 0.05]. Multivariate Logistic regression analysis showed that SOFA score [odds ratio (OR) = 1.273, 95% confidence interval (95%CI) was 1.012-1.600, P = 0.039], IL-6 (OR = 1.000, 95%CI was 1.000-1.001, P = 0.043), PCT (OR = 1.018, 95%CI was 1.002-1.035, P = 0.030), and Cys C (OR = 4.139, 95%CI was 1.727-9.919, P = 0.001) were independent risk factors affecting the 28-day prognosis of SA-AKI patients. ROC curve analysis showed that the area under the curve (AUC) of SOFA score, IL-6, PCT, and Cys C in predicting the 28-day prognosis of SA-AKI patients were 0.682 (95%CI was 0.582-0.782, P = 0.001), 0.753 (95%CI was 0.662-0.843, P < 0.001), 0.765 (95%CI was 0.677-0.854, P < 0.001), and 0.690 (95%CI was 0.583-0.798, P = 0.001), respectively. The combined predictive value of these four indicators for the prognosis of SA-AKI patients were superior to that of any single indicator, with an AUC of 0.847 (95%CI was 0.778-0.916, P < 0.001), a sensitivity of 95.7%, and a specificity of 56.9%. CONCLUSION The combination of SOFA score, IL-6, PCT, and Cys C provides a reliable predictive value for the prognosis of SA-AKI patients.
Humans ; Acute Kidney Injury/mortality* ; APACHE ; C-Reactive Protein ; Cystatin C/blood* ; Interleukin-6/blood* ; Logistic Models ; Predictive Value of Tests ; Procalcitonin/blood* ; Prognosis ; Prospective Studies ; Risk Factors ; ROC Curve ; Sepsis/mortality*

OBJECTIVE: To assess the impact of albumin (Alb) administration on the prognosis of patients with acute kidney injury (AKI). METHODS: Clinical data of AKI patients in the intensive care unit (ICU) were retrospectively analyzed from the American Medical Information Mart of Intensive Care-IV (MIMIC-IV), including demographic data, acute physiology score (APS), comorbidities, vital signs, laboratory indicators, treatment status, ICU length of stay, and outcome indicators. The main outcome measure is ICU mortality. AKI patients were divided into Alb infusion group and Alb non infusion group based on whether they received Alb treatment. Multiple imputation was used to process missing data and eliminate variables that missing more than 30%. To ensure the stability of the results, propensity score matching (PSM) and inverse probability weighting (IPW) were used to correct the results. Using Kaplan-Meier survival curve and Cox proportional hazards regression model to evaluate the effect of Alb infusion on ICU survival rate in AKI patients. Perform subgroup analysis based on patient age, gender, and comorbidities to evaluate the prognostic effects of Alb on different patient subgroups. RESULTS: A total of 6 390 AKI patients were included, including 1 721 in the Alb infusion group and 4 669 in the Alb non infusion group. After adjusting for key covariates in the Cox regression model, compared with the Alb non infusion group, patients in the Alb infusion group were significantly younger in age, with APS III score, proportion of vasoactive drugs and continuous renal replacement therapy (CRRT) use, sepsis proportion, heart rate, respiratory frequency, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine (Cr), lactic acid (Lac), and arterial partial pressure of carbon dioxide (PaCO₂) levels significantly higher. The proportion of hypertension, myocardial infarction, and congestive heart failure, as well as blood pressure, urine output, platelet count (PLT), and Alb levels were significantly lower. The results of univariate and multivariate Cox regression analysis on the raw data showed that the risk of death in the Alb infusion group was significantly lower than that in the Alb non infusion group [hazard ratio (HR) = 0.69, 95% confidence interval (95%CI) was 0.60-0.80, all P < 0.05]. The results after propensity score matching (PSM) and inverse probability weighting (IPW) processing are consistent with the original data trend (both P < 0.05). The Kaplan-Meier survival curve showed that the cumulative survival rate during ICU stay in the Alb infusion group was significantly higher than that in the Alb non infusion group (24.48% vs. 12.17%, Log-Rank test: χ² = 74.26, P < 0.05). Subgroup analysis shows that Alb infusion has a more significant survival benefit for AKI patients who use vasoactive drugs, have concurrent sepsis, and do not have liver disease. CONCLUSION Albumin infusion can decrease the ICU mortality of AKI patients.
Humans ; Retrospective Studies ; Acute Kidney Injury/mortality* ; Prognosis ; Male ; Female ; Middle Aged ; Aged ; Intensive Care Units ; Albumins/therapeutic use* ; Proportional Hazards Models ; Adult ; Databases, Factual

OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

OBJECTIVES: To evaluate the correlation of mean arterial oxygen tension (PaO₂) during the first 24 h following intensive care unit (ICU) admission with mortality in critically ill patients with acute kidney injury (AKI) and determine the optimal PaO₂ threshold for devising oxygen therapy strategies for these patients. METHODS: We collected the clinical data of ICU patients with AKI from the MIMIC-IV database. Based on the optimal first 24-h PaO₂ threshold determined by receiver operating characteristic (ROC) curve analysis and the Youden index maximization principle, we classified the patients into hyperoxia group (with PaO₂ ≥137.029 mmHg) and hypoxemia group (PaO₂<137.029 mm Hg). Multivariable logistic regression and propensity score matching were used to evaluate the correlation of first 24-h PaO₂ levels with in-hospital mortality of the patients. RESULTS: Among the 18 335 patients, 46.7% were in the hyperoxia group, who had an overall mortality rate of 16.9%. The optimal PaO₂ threshold (137.029 mm Hg) had a sensitivity of 78.3%, a specificity of 63.7%, and an AUC of 0.76 (95% CI: 0.74=0.78). Hyperoxia within the first 24 h after ICU admission was associated with a significantly lower in-hospital mortality (OR=0.78) and 90-day mortality (OR=0.77), particularly in stage 1 AKI patients. A non-linear relationship was identified between PaO₂ and mortality of the patients (P<0.001). Kaplan-Meier survival curves indicated a significantly increased 90-day survival rate in the patients in hyperoxia group (P<0.001), who also had shorter durations of mechanical ventilation, less vasopressor use, and shorter lengths of hospital/ICU stay. CONCLUSIONS Maintenance of a PaO₂ level ≥137.029 mmHg within 24 h after ICU admission may improve clinical outcomes of critically ill AKI patients, which underscores the importance of targeted oxygen delivery in ICU care.
Humans ; Acute Kidney Injury/blood* ; Male ; Female ; Middle Aged ; Intensive Care Units ; Aged ; Oxygen/blood* ; Hospital Mortality ; Partial Pressure ; Adult ; Databases, Factual

OBJECTIVES: To investigate the association of serum albumin level after human albumin infusion with 28-day mortality in critically ill patients with acute kidney injury (AKI) and its impact on 90-day outcomes of the patients. METHODS: We conducted a retrospective cohort study based on the MIMIC IV database (2008-2019), including 5918 AKI patients treated with albumin in the ICU. Based on serum albumin levels within 72 h after albumin infusion, the patients were divided into low (<30 g/L), medium (30-35 g/L), and high albumin (>35 g/L) groups. Restricted cubic spline regression and multivariate logistic regression were used to analyze the association of albumin levels with patient mortality, and the results were verified in a external validation cohort consisting of 110 sepsis-induced AKI patients treated in Nanfang Hospital between 2017 and 2022 using survival analysis and multivariate adjustment. RESULTS: In the MIMIC training cohort, multivariate logistic regression showed no significant differences in 28-day mortality of the patients with different albumin levels (P>0.05). However, restricted cubic spline analysis indicated a non-linear dose-response relationship between albumin levels and 28-day mortality (threshold effect: risk increased when albumin levels >3.6 g/dL). Secondary endpoint analysis revealed that the patients with high albumin levels had a shorter duration of mechanical ventilation (P<0.001) but a longer ICU stay (P<0.001). In the validation cohort, albumin levels ≥30 g/L were significantly associated with a reduced 28-day mortality rate (P<0.05). CONCLUSIONS The association between increased serum albumin levels following albumin infusion and 28-day mortality of critically ill patients with AKI exhibits a cohort dependency and can be influenced by multiple factors including disease type and severity, infusion strategies, and statistical methods.
Humans ; Acute Kidney Injury/therapy* ; Critical Illness/mortality* ; Retrospective Studies ; Serum Albumin/analysis* ; Male ; Female ; Intensive Care Units ; Middle Aged ; Logistic Models ; Aged

Introduction: Since the breakout of COVID-19 in December 2019, the virus has already affected and taken millions of lives over the past year. There is still much to learn about this disease. It has been postulated that the human kidney is a potential pathway for COVID-19 due to the presence of the ACE2 receptors found in the surfaces of kidney cells. Some studies that demonstrated acute tubular necrosis and lymphocyte infiltration among post mortem COVID-19 patients, concluding that the virus could directly damage the kidney, increasing the risk of the development of Acute Kidney Injury (AKI) among patients with COVID-19. This study investigated the incidence and severity of AKI among hospitalized COVID-19 patients and the association of the degree of AKI with regards to the severity and outcomes of COVID-19 patients. Methods: This was a single-center cross-sectional study retrospective chart review of COVID-19 patients who developed AKI. Descriptive statistics were used to summarize the general and clinical characteristics of the patients. Frequency and proportion were used for categorical variables. Shapiro-Wilk test was used to determine the normality distribution of continuous variables. Continuous quantitative data that met the normality assumption was described using mean and standard deviation, while those that did not were described using median and range. Continuous variables which are normally distributed were compared using the One-way ANOVA, while those variables that are not normally distributed were compared using the Kruskal-Wallis H test. For categorical variables, the Chi-square test was used to compare the outcomes. If the expected percentages in the cells are less than 5%, Fisher's Exact Test was used instead. Results: A total of 1441 COVID-19 in-patients from March 1, 2020 to March 1, 2021 were reviewed, 59 of whom were excluded. Among the adults with COVID-19 who developed AKI, 60% were in stage I, 10% in stage II, and 30% in stage III. The incidence of AKI among COVID-19 in-patients at Makati Medical Center was 13.10% (95% CI 11.36% - 14.99%). Among the 181 patients, 79 (43.65%, 95% CI 36.30 - 51.20) had died. The mortality rate is 22.02% for Stage I, 50% for Stage II, and 85.19% for Stage III. The median length of hospital stay was 12 days, ranging from 1 day up to 181 days. Full renal recovery on discharge was observed only in one-third of the patients. It was observed in 44.95% of those in Stage I, 27.78% of those in Stage II, and 5.56% of those in Stage III. Conclusion The study demonstrated that the incidence of AKI in hospitalized COVID-19 patients was 13.1% (95% CI 11.36% - 14.99%), which was lower than previously reported. This could be attributed to the longer study period wherein, to date, we have a better understanding of the disease and had already established a standard of care for treatment for the disease attributing to the decreased incidence of AKI among COVID-19 patients than what was initially reported. The development of AKI has a direct correlation with the degree of infection. Among patients who developed AKI, 20% required renal replacement therapy. Overall development of AKI increases the risk of mortality among hospitalized COVID-19 patients. The stage of AKI has a direct correlation with regards to mortality and has an indirect relationship with regards to renal recovery.
Acute Kidney Injury ; COVID-19 ; Renal Replacement Therapy ; Mortality

Diagnosis of thrombotic microangiopathy (TMA) is challenging due to its close association with other forms of microangiopathic hemolytic anemia, such as malignant hypertension and disseminated intravascular coagulation, and because other manifestations including cytopenia and acute kidney injury are manifestations of other medical comorbidities. Further challenges for accurate diagnosis include distinguishing between primary and secondary TMA, as well as between hemolytic uremic syndrome (HUS) and thrombotic thrombocytopenic purpura (TTP). TTP is typically differentiated from HUS by the presence of more severe thrombocytopenia, along with a higher frequency of altered mental status with relatively preserved renal function. However, the clinical course can vary among patients, requiring polymerase chain reaction testing of patient stools for enterohemorrhagic Escherichia coli and a disintegrin and metalloproteinase with thrombospondin type 1 motif 13 (ADAMTS13) assay. To reduce the mortality rate, prompt initiation of plasmapheresis is important in cases where TPP cannot be excluded. Future advances enabling more rapid testing for ADAMTS13 levels will reduce the need for unnecessary plasmapheresis, so that treatment strategy can be more optimized.
Acute Kidney Injury ; Anemia, Hemolytic ; Comorbidity ; Diagnosis ; Diagnosis, Differential ; Disseminated Intravascular Coagulation ; Enterohemorrhagic Escherichia coli ; Hemolytic-Uremic Syndrome ; Humans ; Hypertension, Malignant ; Mortality ; Plasma Exchange ; Plasmapheresis ; Polymerase Chain Reaction ; Purpura, Thrombotic Thrombocytopenic ; Thrombocytopenia ; Thrombospondins ; Thrombotic Microangiopathies

BACKGROUND: Bendamustine is an attractive option for the management of both de novo and relapsed lymphomas. It is being increasingly used in the conditioning regimen for autologous stem cell transplantation (SCT) and can be an alternative to the traditionally-used carmustine. In this study, we aimed to determine the safety and efficacy of bendamustine in the conditioning regimen for autologous SCT in refractory/relapsed lymphomas. METHODS: We designed a descriptive study to evaluate bendamustine in combination with etoposide, cytarabine, and melphalan (BeEAM) in the conditioning regimen for autologous SCT. RESULTS: Fourteen patients (median age, 28 yr) with Hodgkin's lymphoma (HL) (N=8), non-Hodgkin's lymphomas (NHL) (N=5), or peripheral T-cell lymphoma, not otherwise specified (PTCL NOS) (N=1) were included in the study. A median number of 5.95×10⁶ CD34+ cells/kg were transfused. Median times to absolute neutrophil count and platelet engraftment were 17 days and 24 days, respectively. The 100-day transplantation mortality rate was 28% (4 patients). Eight patients (57.14%) had GII-III acute kidney injury, four patients (28.5%) had GIII-IV hyperbilirubinemia, and twelve patients (85%) had GII-III diarrhea. After 3 months, 37% (5 patients) and 21.4% (3 patients) demonstrated complete response and partial response, respectively. The median follow-up was 5.5 months (15 days–19 mo). At the final follow-up, 7 patients (50%) were alive and in CR. CONCLUSION: Our study showed that bendamustine is a potentially toxic agent in the conditioning regimen for autologous SCT, resulting in significant liver, kidney, and gastrointestinal toxicity. Further studies are required to assess its safety and efficacy at reduced doses.
Acute Kidney Injury ; Bendamustine Hydrochloride ; Blood Platelets ; Carmustine ; Cytarabine ; Diarrhea ; Etoposide ; Follow-Up Studies ; Hodgkin Disease ; Humans ; Hyperbilirubinemia ; Kidney ; Liver ; Lymphoma ; Lymphoma, Non-Hodgkin ; Lymphoma, T-Cell, Peripheral ; Melphalan ; Mortality ; Neutrophils ; Stem Cell Transplantation ; Stem Cells

Renal cortical necrosis (RCN) is patchy or diffuse ischemic destruction of the renal cortex caused by significantly reduced renal arterial perfusion. It is a rare cause of acute kidney injury (AKI) and is associated with high mortality. Here, we review the case of RCN in a 15-year-old boy who developed AKI. A 15-year-old boy was referred to our hospital from a local hospital due to a sharp decrease in his renal function. He presented with acute flank pain, nausea with vomiting, and oliguria for the past two days. He had taken a single dose of antihistamine for nasal congestion. At our hospital, his peak blood pressure was 148/83 mmHg and he had a high body mass index of 32.9 kg/m². The laboratory data showed a blood urea nitrogen (BUN) of 28.4 mg/dL, a creatinine of 4.26 mg/dL, and a glomerular filtration rate estimated from the serum cystatin C of 20.2 mL/min/1.73m². Proteinuria (spot urine protein to creatinine ratio 1.66) with pyuria was observed. Kidney sonography showed parenchymal swelling and increased renal echogenicity. Due to rapidly progressing nephritis, steroid pulse therapy (750 mg/IV) was done on the second day of his admission and the patient showed complete recovery with normal renal function. However, the kidney biopsy findings revealed renal cortical hemorrhagic necrosis. Multifocal, relatively well-circumscribed, hemorrhagic necrotic areas (about 25%) were detected in the tubulointerstitium. Although RCN is an unusual cause of AKI, especially in children, pediatricians should consider the possibility of RCN when evaluating patients with rapidly decreasing renal function.
Acute Kidney Injury ; Adolescent ; Biopsy ; Blood Pressure ; Blood Urea Nitrogen ; Body Mass Index ; Child ; Creatinine ; Cystatin C ; Estrogens, Conjugated (USP) ; Flank Pain ; Glomerular Filtration Rate ; Humans ; Kidney ; Kidney Cortex Necrosis ; Male ; Mortality ; Nausea ; Necrosis ; Nephritis ; Obesity ; Oliguria ; Perfusion ; Proteinuria ; Pyuria ; Vomiting

BACKGROUND AND OBJECTIVES: The burden of acute kidney injury (AKI) has not been explored in Jordanian patients who receive hematopoietic stem cell transplant (HSCT). The aim of this study was to evaluate the frequency, risk factors, and mortality of AKI among patients who underwent HSCT. METHODS: A retrospective pilot study included 70 adult patients who received peripheral HSCT was conducted. Weekly measurement of serum creatinine (SCr) was obtained for 3 months after chemotherapy and HSCT. Then, stages of Risk, Injury, and Failure of Kidney were determined based on the Kidney Disease for Improving Global Outcomes (KDIGO). RESULTS: The median follow-up was 41 months. Mortality was reported in 16 patients (23%). Out of 60 patients that had SCr values, 19 patients (31.6%) had AKI in 90 days after chemotherapy. Allogeneic HSCT, male donors, high-dose melphalan protocols and values of blood urea nitrogen (BUN) were significantly higher among patients with AKI. CONCLUSIONS: Combining many nephrotoxic drugs and dosing adjustments should be considered in uniform protocols. Multidisciplinary care should be utilized to assess early kidney dysfunction that decreases adverse events and improves outcomes.
Acute Kidney Injury ; Adult ; Blood Urea Nitrogen ; Clothing ; Creatinine ; Drug Therapy ; Follow-Up Studies ; Hematopoietic Stem Cells ; Humans ; Incidence ; Jordan ; Kidney ; Kidney Diseases ; Male ; Melphalan ; Mortality ; Pilot Projects ; Prognosis ; Retrospective Studies ; Risk Factors ; Tissue Donors