Progression of Acute Kidney Injury to Chronic Kidney Disease in Sepsis Survivors: 1-Year Follow-Up Study

Severe sepsis-associated acute kidney injury and outcomes: a longitudinal cohort study

BACKGROUND

Sepsis-associated acute kidney injury (SA-AKI) is common among patients admitted to the intensive care unit (ICU) with sepsis.

AIMS

This study aimed to demonstrate an association between an episode of SA-AKI and progression to dialysis dependence, with a view to identifying a cohort who may be suitable for intensive nephrology follow-up.

METHODS

Design: Retrospective data-linkage cohort study.

SETTING

Alice Springs Hospital ICU, 10-bed regional facility, housed in a 200-bed regional hospital, located in Central Australia.

PARTICIPANTS

All patients admitted with a diagnosis code associated with sepsis between 2015 and 2017.

MAIN OUTCOME MEASURES

Primary outcome was a composite measure comprising death or initiation of maintenance dialysis within 5 years of the index case of sepsis leading to ICU admission.

RESULTS

The unadjusted risk of the composite outcome was significantly higher in the SA-AKI group (odds ratio (OR) 3.22, 95% confidence interval (CI) 1.81-5.74, P < 0.01). This effect remains after adjustment for age, illness severity and co-morbidities (adjusted OR (aOR) 2.64, 95% CI 1.22-5.68, P = 0.01). Progression to maintenance dialysis was the primary driver of this effect (OR 7.56, 95% CI 2.23-25.65, P = 0.02), although it was modified by the effect of confounders (aOR 7.3, 95% CI 0.7-75.94, P = 0.10).

CONCLUSIONS

These results demonstrate an association between an index episode involving SA-AKI and the composite outcome in a defined population. Identification of this group may allow intensive nephrology follow-up and secondary prevention with the goal of mitigating the risk of progression of disease with significant economic and personal benefits.

Long Non-coding RNA NEAT1 , NOD-Like Receptor Family Protein 3 Inflammasome, and Acute Kidney Injury

Key Points

Background

AKI is common in hospitalized patients and is associated with high mortality. Inflammation plays a key role in the pathophysiology of AKI. Long non-coding RNAs (lncRNAs) are increasingly recognized as regulators of the inflammatory and immune response, but its role in AKI remains unclear.

Methods

We explored the role of lncRNA nuclear-enriched abundant transcript 1 (NEAT1) in (1) a cross-sectional and longitudinal cohort of AKI in humans, (2) three murine models of septic and aseptic AKI, and (3) cultured C1.1 mouse kidney tubular cells.

Results

In humans, hospitalized patients with AKI (N=66) demonstrated significantly higher lncRNA NEAT1 levels in urinary sediment cells and buffy coat versus control participants (N=152) from a primary care clinic; among six kidney transplant recipients, NEAT1 levels were the highest immediately after transplant surgery, followed by a prompt decline to normal levels in parallel with recovery of kidney function. In mice with AKI induced by sepsis (by LPS injection or cecal ligation and puncture) and renal ischemia-reperfusion, kidney tubular Neat1 was increased versus sham-operated mice. Knockdown of Neat1 in the kidney using short hairpin RNA preserved kidney function and suppressed overexpression of the AKI biomarker neutrophil gelatinase-associated lipocalin, leukocyte infiltration, and both intrarenal and systemic inflammatory cytokines IL-6, CCL-2, and IL-1β. In LPS-treated C1.1 cells, Neat1 was overexpressed by TLR4/NF-κB signaling and translocated from the cell nucleus into the cytoplasm where it promoted activation of nucleotide oligomerization domain-like receptor family protein 3 inflammasomes by binding with the scaffold protein receptor of activated protein C kinase 1. Silencing Neat1 ameliorated LPS-induced cell inflammation, whereas its overexpression upregulated IL-6 and CCL-2 expression even without LPS stimulation.

Conclusions

Our findings demonstrate a pathogenic role of NEAT1 induction in human and mice during AKI with alleviation of kidney injury in three experimental models of septic and aseptic AKI after knockdown of Neat1. LPS/TLR4-induced Neat1 overexpression in tubular epithelial cells increased the inflammatory response by binding with the scaffold protein, receptor of activated protein C kinase 1, to activate nucleotide oligomerization domain-like receptor family protein 3 inflammasomes.

Reduction in NGAL at 48 h predicts the progression to CKD in patients with septic associated AKI: a single-center clinical study

BACKGROUND

In this study, our objective was to investigate the predictive value of serum and urine fluctuations of neutrophil gelatinase-associated lipid transporters (NGAL) in relation to the progression of chronic kidney disease (CKD) among patients with septic associated AKI (SA-AKI).

METHODS

A total of 425 SA-AKI patients were enrolled in this study and divided into the recovery group (n = 320) and the AKI-to-CKD group (n = 105) based on 3-month follow-up data. The serum and urine NGAL levels on the day of AKI diagnosis (T0) and 48 h after anti-AKI treatment (T1) were recorded and calculated.

RESULTS

The levels of NGAL in serum and urine were found to be higher in the AKI-to-CKD group compared to the recovery group at T1 point (P < 0.05). The reductions of NGAL at 48 h in serum and urine were lower in the AKI-to-CKD group than those observed in the recovery group (P < 0.05). In comparison to T0, a significant decrease was noted for both serum and urine NGAL levels on T1 among patients who recovered from AKI (P < 0.05), whereas no such trend was observed among those with AKI-to-CKD transition (P > 0.05). After adjusting age, sex, and BMI through partial correlation analysis, the reduction of serum NGAL was found to be most strongly associated with the transition from AKI to CKD. ROC analysis showed an AUC of 0.832 for serum NGAL reduction, with a cut-off value of - 111.24 ng/ml and sensitivity and rates of 76.2% and 81.2%, respectively. Logistic regression analysis indicated that a reduction of serum NGAL ≥ - 111.24 ng/ml was the early warning indicator for the progression of CKD in SA-AKI patients.

CONCLUSION

The reduction of serum NGAL following 48 h of anti-AKI therapy represents a distinct hazard factor for the advancement of CKD in patients with SA-AKI, independent of other variables.

The Nuances of Hand Transplantation After Sepsis

Vascularized composite allotransplantation (VCA) of the upper extremity is an established restorative procedure for selected patients with acquired upper limb loss. The majority of upper limb VCAs performed worldwide have been for victims of various forms of trauma. However, in the developed world, amputation following severe sepsis seems to be an increasingly common indication for referral to hand transplant programs. Unlike trauma patients with isolated limb injuries, patients with amputations as a complication of sepsis have survived through a state of global tissue hypoperfusion and multisystem organ failure with severe, enduring effects on the entire body's physiology. This article reviews the unique considerations for VCA candidacy in postsepsis patients with upper limb amputation. These insights may also be relevant to postsepsis patients undergoing other forms of transplantation or to VCA patients requiring additional future solid organ transplants.

An early warning model to predict acute kidney injury in sepsis patients with prior hypertension

Background

In the context of sepsis patients, hypertension has a significant impact on the likelihood of developing sepsis-associated acute kidney injury (S-AKI), leading to a considerable burden. Moreover, sepsis is responsible for over 50 % of cases of acute kidney injuries (AKI) and is linked to an increased likelihood of death during hospitalization. The objective of this research is to develop a dependable and strong nomogram framework, utilizing the variables accessible within the first 24 h of admission, for the anticipation of S-AKI in sepsis patients who have hypertension.

Methods

In this study that looked back, a total of 462 patients with sepsis and high blood pressure were identified from Nanfang Hospital. These patients were then split into a training set (consisting of 347 patients) and a validation set (consisting of 115 patients). A multivariate logistic regression analysis and a univariate logistic regression analysis were performed to identify the factors that independently predict S-AKI. Based on these independent predictors, the model was constructed. To evaluate the efficacy of the designed nomogram, several analyses were conducted, including calibration curves, receiver operating characteristics curves, and decision curve analysis.

Results

The findings of this research indicated that diabetes, prothrombin time activity (PTA), thrombin time (TT), cystatin C, creatinine (Cr), and procalcitonin (PCT) were autonomous prognosticators for S-AKI in sepsis individuals with hypertension. The nomogram model, built using these predictors, demonstrated satisfactory discrimination in both the training (AUC = 0.823) and validation (AUC = 0.929) groups. The S-AKI nomogram demonstrated superior predictive ability in assessing S-AKI within the hypertension grade I (AUC = 0.901) set, surpassing the hypertension grade II (AUC = 0.816) and III (AUC = 0.810) sets. The nomogram exhibited satisfactory calibration and clinical utility based on the calibration curve and decision curve analysis.

Conclusion

In patients with sepsis and high blood pressure, the nomogram that was created offers a dependable and strong evaluation for predicting S-AKI. This evaluation provides valuable insights to enhance individualized treatment, ultimately resulting in improved clinical outcomes.

[Association of neutrophil, lymphocyte, platelet ratio with acute kidney injury in sepsis]

Background

Acute kidney injury (AKI) is frequent in sepsis (25 to 51%), with high mortality (40 to 80%) and long-term complications. Despite its importance we do not have accessible markers in intensive care. In other entities (post-surgical and COVID-19) the neutrophil/lymphocyte and platelet (N/LP) ratio has been associated with acute kidney injury; however, this relationship has not been studied in a pathology with a severe inflammatory response such as sepsis.

Objective

To demonstrate the association between N/LP with AKI secondary to sepsis in intensive care.

Material and methods

Ambispective cohort study in patients over 18 years who were admitted to intensive care with a diagnosis of sepsis. The N/LP ratio was calculated from admission up to the seventh day and up to the diagnosis of AKI and outcome. Statistical analysis was performed with chi squared test, Cramer's V and multivariate logistic regression.

Results

Out of the 239 patients studied, the incidence of AKI developed in 70%. 80.9% of patients with N/LP ratio > 3 had AKI (p < 0.0001, Cramer's V 0.458, OR 3.05, 95% CI 1.602-5.8) and increased renal replacement therapy (21.1 vs. 11.1%, p = 0.043).

Conclusion

N/LP ratio > 3 has a moderate association with AKI secondary to sepsis in the intensive care unit.

Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury

Sepsis-associated acute kidney injury (S-AKI) is very common and early prediction is beneficial. This study aiming to develop an accurate ensemble model to predict the risk of S-AKI based on easily available clinical information. Patients with sepsis from the United States (US) database Medical Information Mart for Intensive Care-IV were used as a modeling cohort to predict the occurrence of AKI by combining Support Vector Machine, Random Forest, Neural Network, and Extreme Gradient Boost as four first-level learners via stacking algorithm. The external validation databases were the eICU Collaborative Research Database from US and Critical Care Database comprising infection patients at Zigong Fourth People's Hospital from China, whose AUROC values for the ensemble model 48-12 h before the onset of AKI were 0.774-0.788 and 0.756-0.813, respectively. In this study, an ensemble model for early prediction of S-AKI onset was developed and it demonstrated good performance in multicenter external datasets.

Cerebral dysfunctions caused by sepsis during ageing

Systemic inflammation elicited by sepsis can induce an acute cerebral dysfunction known as sepsis-associated encephalopathy (SAE). Recent evidence suggests that SAE is common but shows a dynamic trajectory over time. Half of all patients with sepsis develop SAE in the intensive care unit, and some survivors present with sustained cognitive impairments for several years after initial sepsis onset. It is not clear why some, but not all, patients develop SAE and also the factors that determine the persistence of SAE. Here, we first summarize the chronic pathology and the dynamic changes in cognitive functions seen after the onset of sepsis. We then outline the cerebral effects of sepsis, such as neuroinflammation, alterations in neuronal synapses and neurovascular changes. We discuss the key factors that might contribute to the development and persistence of SAE in older patients, including premorbid neurodegenerative pathology, side effects of sedatives, renal dysfunction and latent virus reactivation. Finally, we postulate that some of the mechanisms that underpin neuropathology in SAE may also be relevant to delirium and persisting cognitive impairments that are seen in patients with severe COVID-19.

Sepsis and the Risks of Long-Term Renal Adverse Outcomes in Patients With Chronic Kidney Disease

Background

Sepsis is known to cause renal function fluctuations during hospitalization, but whether these patients discharged from sepsis were still at greater risks of long-term renal adverse outcomes remains unknown.

Methods

From 2011 to 2018, we included 1,12,628 patients with chronic kidney disease (CKD) aged ≥ 20 years. The patients with CKD were further divided into 11,661 sepsis group and 1,00,967 non-sepsis group. The following outcome of interest was included: all-cause mortality, readmission for acute kidney injury, estimated glomerular filtration rate decline ≥50% or doubling of serum creatinine, and end-stage renal disease.

Results

After propensity score matching, the sepsis group was at higher risks of all-cause mortality [hazard ratio (HR) 1.39, 95% CI, 1.31–1.47], readmission for acute kidney injury (HR 1.67, 95% CI 1.58–1.76), eGFR decline ≥ 50% or doubling of serum creatinine (HR 3.34, 95% CI 2.78–4.01), and end-stage renal disease (HR 1.43, 95% CI 1.34–1.53) than non-sepsis group.

Conclusions

Our study found that patients with CKD discharged from hospitalization for sepsis have higher risks of subsequent renal adverse events.

Artificial Intelligence for Risk Prediction of End-Stage Renal Disease in Sepsis Survivors with Chronic Kidney Disease

Sepsis may lead to kidney function decline in patients with chronic kidney disease (CKD), and the deleterious effect may persist in patients who survive sepsis. We used a machine learning approach to predict the risk of end-stage renal disease (ESRD) in sepsis survivors. A total of 11,661 sepsis survivors were identified from a single-center database of 112,628 CKD patients between 2010 and 2018. During a median follow-up of 3.5 years, a total of 1366 (11.7%) sepsis survivors developed ESRD after hospital discharge. We adopted the random forest, extra trees, extreme gradient boosting, light gradient boosting machine (LGBM), and gradient boosting decision tree (GBDT) algorithms to predict the risk of ESRD development among these patients. GBDT yielded the highest area under the receiver operating characteristic curve of 0.879, followed by LGBM (0.868), and extra trees (0.865). The GBDT model revealed the strong effect of estimated glomerular filtration rates <25 mL/min/1.73 m2 at discharge in predicting ESRD development. In addition, hemoglobin and proteinuria were also essential predictors. Based on a large-scale dataset, we established a machine learning model computing the risk for ESRD occurrence among sepsis survivors with CKD. External validation is required to evaluate the generalizability of this model.

Roles of SIRT6 in kidney disease: a novel therapeutic target

SIRT6 is an NAD+ dependent deacetylase that belongs to the mammalian sirtuin family. SIRT6 is mainly located in the nucleus and regulates chromatin remodeling, genome stability, and gene transcription. SIRT6 extensively participates in various physiological activities such as DNA repair, energy metabolism, oxidative stress, inflammation, and fibrosis. In recent years, the role of epigenetics such as acetylation modification in renal disease has gradually received widespread attention. SIRT6 reduces oxidative stress, inflammation, and renal fibrosis, which is of great importance in maintaining cellular homeostasis and delaying the chronic progression of kidney disease. Here, we review the structure and biological function of SIRT6 and summarize the regulatory mechanisms of SIRT6 in kidney disease. Moreover, the role of SIRT6 as a potential therapeutic target for the progression of kidney disease will be discussed. SIRT6 plays an important role in kidney disease. SIRT6 regulates mitochondrial dynamics and mitochondrial biogenesis, induces G2/M cycle arrest, and plays an antioxidant role in nephrotoxicity, IR, obstructive nephropathy, and sepsis-induced AKI. SIRT6 prevents and delays progressive CKD induced by hyperglycemia, kidney senescence, hypertension, and lipid accumulation by regulating mitochondrial biogenesis, and has antioxidant, anti-inflammatory, and antifibrosis effects. Additionally, hypoxia, inflammation, and fibrosis are the main mechanisms of the AKI-to-CKD transition. SIRT6 plays a critical role in the AKI-to-CKD transition and kidney repair through anti-inflammatory, antifibrotic, and mitochondrial quality control mechanisms. AKI Acute kidney injury, CKD Chronic kidney disease.