Correlation of gasdermin B staining patterns with prognosis, progression, and immune response in colorectal cancer.

BACKGROUND: Pyroptosis is a type of programmed cell death mediated by the gasdermin family. Gasdermin B (GSDMB), as a member of gasdermin family, can promote the occurrence of cell pyroptosis. However, the correlations of the GSDMB expression in colorectal cancer with clinicopathological predictors, immune microenvironment, and prognosis are unclear. METHODS: Specimens from 267 colorectal cancer cases were analyzed by immunohistochemistry to determine GSDMB expression, CD3+, CD4+, and CD8+ T lymphocytes, CD20+ B lymphocytes, CD68+ macrophages, and S100A8+ immune cells. GSDMB expression in cancer cells was scored in the membrane, cytoplasm, and nucleus respectively. GSDMB+ immune cell density was calculated. Univariate and multivariate survival analyses were performed. The association of GSDMB expression with other clinicopathological variables and immune cells were also analyzed. Double immunofluorescence was used to identify the nature of GSDMB+ immune cells. Cytotoxicity assays and sensitivity assays were performed to detect the sensitivity of cells to 5-fluorouracil. RESULTS: Multivariate survival analysis showed that cytoplasmic GSDMB expression was an independent favorable prognostic indicator. Patients with positive cytoplasmic or nuclear GSDMB expression would benefit from 5-fluorouracil based chemotherapy. The assays in vitro showed that high GSDMB expression enhanced the sensitivity of colorectal cancer cells to 5-fluorouracil. Patients with positive membranous or nuclear GSDMB expression had more abundant S100A8+ immune cells in the tumor invasive front. Positive nuclear GSDMB expression indicated more CD68+ macrophages in the tumor microenvironment. Moreover, GSDMB+ immune cell density in the stroma was associated with a higher neutrophil percentage but a lower lymphocyte counts and monocyte percentage in peripheral blood. Furthermore, the results of double immunofluorescence showed that GSDMB co-expressed with CD68 or S100A8 in stroma cells. CONCLUSION: The GSDMB staining patterns are linked to its role in cancer progression, the immune microenvironment, systemic inflammatory response, chemotherapeutic efficacy, and prognosis. Colorectal cancer cells with high GSDMB expression are more sensitive to 5-fluorouracil. However, GSDMB expression in immune cells has different effects on cancer progression from that in cancer cells.

Enzyme-mediated fabrication of nanocomposite hydrogel microneedles for tunable mechanical strength and controllable transdermal efficiency.

Microneedles (MNs) are increasingly used in transdermal drug delivery due to high bioavailability, simple operation, and improved patient compliance. However, further clinical applications are hindered by unsatisfactory mechanical strength and uncontrolled drug release. Herein, an enzyme-mediated approach is reported for the fabrication of nanocomposite hydrogel-based MNs with tunable mechanical strength and controllable transdermal efficiency. As a proof-of-concept, tetrakis(1-methyl-4-pyridinio)porphyrin (TMPyP) was chosen as a model drug for photodynamic therapy of melanoma. TMPyP-loaded PLGA nanoparticles (NP/TMPyP) served as an inner phase of MNs for controlled release of photosensitizers, and enzyme-mediated hyaluronic acid-tyramine (HAT) hydrogels served as an external phase for optimizing the mechanical strength of MNs. By changing the concentration of HRP and H2O2, three types of MNs were fabricated for transdermal delivery of TMPyP, which demonstrated different cross-linking densities and various mechanical strength. Among the three MNs, the HAT-Medium@NP/TMPyP-MN with a medium mechanical strength exhibited the highest values of transdermal efficiency in vitro and the longest retention time in vivo. As compared to pure TMPyP and TMPyP-loaded nanoparticles, the HAT-Medium@NP/TMPyP-MN demonstrated higher anticancer efficacy in both melanoma A375 cells and a xenografted tumor mouse model. Therefore, the enzyme-mediated nanocomposite hydrogel MNs show great promise in the transdermal delivery of therapeutic drugs with enhanced performance. STATEMENT OF SIGNIFICANCE: This study reports an enzyme-mediated approach for the fabrication of photodynamically-active microneedles (HAT@NP/TMPyP-MNs) with tunable mechanical strength and controllable transdermal efficiency. On one hand, HAT hydrogels that bear different cross-linking densities, facilitate tunable mechanical strength and optimized transdermal performances of MNs; on the other hand, NP/TMPyP and HAT network contribute to sustained release of photosensitizers. Comparing to other formulation (i.e., NP/TMPyP or TMPyP), the HAT-Medium@NP/TMPyP-MN exhibited excelling anticancer efficacy in photodynamic therapy in vitro and in vivo. We believe that the combination of enzyme-mediated polymeric cross-linking and slow-releasing nano-vehicles in a single nanocomposite platform provides a versatile approach for the fabrication of MNs with enhanced therapeutic efficacy, which holds great promise in the transdermal delivery of various therapeutic drugs in future.

A new prognostic model of esophageal squamous cell carcinoma based on Cloud-least squares support vector machine.

Background: In view of the low accuracy of the prognosis model of esophageal squamous cell carcinoma (ESCC), this study aimed to optimize the least squares support vector machine (LSSVM) algorithm to determine the uncertain prognostic factors using a Cloud model, and consequently, to establish a new high-precision prognosis model of ESCC. Methods: We studied 4,771 ESCC patients(training samples) from the Surveillance, Epidemiology, and End Results (SEER) database and 635 ESCC patients(validation samples) from the Henan Provincial Center for Disease Control and Prevention (HCDC) database, with the same exclusion criteria and inclusion criteria for both databases, and obtained permission to obtain a research data file in the SEER database from the National Cancer Institute. The independent risk factors were analyzed using the log-rank method, survival curves, univariate and multivariate Cox analysis. Finally, the independent prognostic factors were used to construct the nomogram, random forest and Cloud-LSSVM prognostic models were utilized for validation. Results: The overall median survival time of the SEER database was 14 months (HCDC samples was 46 months), the mean survival time was 26.5 months (HCDC samples was 36.8 months), and the 3-year survival rate was 65.8%. This is because most of the patients with Henan samples are early ESCC, and most of the Seer patients are T3 and T4 people. The multivariate Cox analysis showed that age at diagnosis (P<0.001), sex (P=0.001), race (P=0.002), differentiation grade (P<0.001), pathologic T category (P<0.001), and pathologic M category (P<0.001) were the factors affecting the prognosis of ESCC patients. The SEER data and HCDC database results showed that the accuracy of the Cloud-LSSVM (C-index =0.71, 0.689) model is higher than the differentiation grade (C-index =0.548, 0.506), random forest (C-index =0.649, 0.498), and nomogram (C-index =0.659, 0.563). This new model can realize the unity of the randomness and fuzziness of the Cloud model and utilize the powerful learning and non-linear mapping abilities of LSSVM. Conclusions: Due to the difference of clans between training samples and test samples, the accuracy of prediction is generally not high, but the accuracy of Cloud-LSSVM model is much higher than other models. The new model provides a clear prognostic superiority over the random forest, nomogram, and other models.

Apelin-13 alleviates contrast-induced acute kidney injury by inhibiting endoplasmic reticulum stress.

Contrast-induced acute kidney injury (CI-AKI) is a severe complication associated with significant morbidity and mortality, and effective therapeutic strategies are still lacking. Apelin is an endogenous physiological regulator with antioxidative, anti-inflammatory and antiapoptotic properties. However, the role of apelin-13 in CI-AKI remains unclear. In our study, we found that the protein expression levels of apelin were significantly downregulated in rat kidney tissues and HK-2 cells during contrast media treatment. Moreover, we explored the protective effect of apelin-13 on renal tubule damage using in vitro and in vivo models of CI-AKI. Exogenous apelin-13 ameliorated endoplasmic reticulum stress, reactive oxygen species and apoptosis protein expression in contrast media-treated cells and rat kidney tissues. Mechanistically, the downregulation of endoplasmic reticulum stress contributed critically to the antiapoptotic effect of apelin-13. Collectively, our findings reveal the inherent mechanisms by which apelin-13 regulates CI-AKI and provide a prospective target for the prevention of CI-AKI.

Optimal treatment of ceftazidime-avibactam and aztreonam-avibactam against bloodstream infections or lower respiratory tract infections caused by extensively drug-resistant or pan drug-resistant (XDR/PDR) Pseudomonas aeruginosa.

Objective: To evaluate the efficacy of ceftazidime-avibactam (CZA) and aztreonam-avibactam (AZA) against bloodstream infections (BSIs) or lower respiratory tract infections (LRTIs) - caused by extensive drug-resistant or pan drug-resistant (XDR/PDR) Pseudomonas aeruginosa. Method: The two-fold dilution method was used to determine the minimum inhibitory concentrations (MICs) of CZA/AZA against XDR/PDR P. aeruginosa. Whole-genome sequencing was used to analyze the resistance determinants of each isolate. Monte Carlo simulations (MCSs) were used to evaluate the probability of target attainment (PTA) and the cumulative fraction of response (CFR) of each CZA/AZA dosing regimen via traditional infusion (TI)/optimized two-step-administration therapy (OTAT). Results: We found that XDR/PDR P. aeruginosa may carry some rare MBLs (e.g.: IND-6, SLB-1, THIN-B). P. aeruginosa isolates producing IMP-45, VIM-1, or VIM-2 were inhibited by AZA at a concentration of 2 to 8 mg/L. All isolates producing IND-6 plus other serine ß-lactamases were high-level resistant to CZA/AZA (MICs >64 mg/L). All simulated dosing regimens of CZA/AZA against BSIs-causing XDR/PDR P. aeruginosa achieved 100% PTA when the MIC was ≤32 mg/L. Conclusion: AZA has been considered as an option for the treatment of infections caused by XDR/PDR P. aeruginosa producing IMP-45, VIM-1, or VIM-2. OTAT with sufficient pharmacodynamic exposure may be an optimal treatment option for XDR/PDR P. aeruginosa with a high-level MIC of CZA/AZA.

Association of underweight and obesity with adverse postoperative renal outcomes in infants and young children undergoing congenital heart surgery.

Postoperative acute kidney injury (AKI) is a prevalent condition and associated with increased morbidity and mortality following cardiac surgery. This study aimed to investigate the association of underweight and obesity with adverse postoperative renal outcomes in infants and young children undergoing congenital heart surgery. This retrospective cohort study included patients aged from 1 month to 5 years who underwent congenital heart surgery with cardiopulmonary bypass at the Second Xiangya Hospital of Central South University from January 2016 to March 2022. On the basis of the percentile of body mass index (BMI) for age and sex, eligible participants were divided into three nutritional groups: normal bodyweight, underweight (BMI P5), and obesity (BMI P95). Primary outcomes included postoperative AKI and major adverse kidney events within 30 days (MAKE30). Multivariable logistic regression was performed to determine the association of underweight and obesity with postoperative outcomes. The same analyses were reproduced for classifying patients using weight-for-height instead of BMI. A total of 2,079 eligible patients were included in the analysis, including 1,341 (65%) patients in the normal bodyweight group, 683 (33%) patients in the underweight group, and 55 (2.6%) patients in the obesity group. Postoperative AKI (16% vs. 26% vs. 38%; P < 0.001) and MAKE30 (2.5% vs. 6.4% vs. 9.1%; P < 0.001) were more likely to occur in the underweight and obesity groups. After adjusting for potential confounders, underweight (OR1.39; 95% CI 1.08-1.79; P = 0.008) and obesity (OR 3.85; 95% CI 1.97-7.50; P < 0.001) were found to be associated with an increased risk of postoperative AKI. In addition, both underweight (OR 1.89; 95% CI 1.14-3.14; P = 0.014) and obesity (OR 3.14; 95% CI 1.08-9.09; P = 0.035) were independently associated with MAKE30. Similar results were also found when weight-for-height was used instead of BMI.    Conclusion: In infants and young children undergoing congenital heart surgery, underweight and obesity are independently associated with postoperative AKI and MAKE30. These results may help assess prognosis in underweight and obese patients, and will guide future quality improvement efforts. What is Known: • Postoperative acute kidney injury (AKI) is prevalent and associated with increased morbidity and mortality following pediatric cardiac surgery. • Major adverse kidney events within 30 days (MAKE30) have been recommended as a patient-centered endpoint for evaluating AKI clinical trajectories. A growing concern arises for underweight and obesity in children with congenital heart disease. What is New: • Prevalence of underweight and obesity among infants and young children undergoing congenital heart surgery was 33% and 2.6%, respectively. • Both underweight and obesity were independently associated with postoperative AKI and MAKE30 following congenital heart surgery.

Dysregulated expression of microRNA involved in resistance to osimertinib in EGFR mutant non-small cell lung cancer cells.

Background: An increasing amount of evidence has confirmed that the altered expression of microRNAs (miRNAs) is critical to the mechanism underlying primary and even acquired resistance to tyrosine kinase inhibitors (TKIs). However, studies on the linkage between the altered miRNAs expression and osimertinib resistance are few, and the effect of miRNAs in this context is still unclear. In the light of this, we hypothesized that the differential expression of multiple miRNAs is the driver in the osimertinib resistance process. Thus, the aim of our study was to find differentially expressed miRNAs in non-small cell lung cancer cells resistant to osimertinib. Methods: An AZD9291(Osimertinib)-resistant cell line model was constructed, and the differential miRNAs between epidermal growth factor receptor (EGFR)-sensitive cell lines A549 and H1975 and the corresponding drug-resistant cell lines were identified via biosynthesis analysis. Results: In the A549 osimertinib-resistant cell line, 93 miRNAs were upregulated and 94 miRNAs were downregulated. In the H1975 osimertinib-resistant cell line, 124 miRNAs were upregulated and 53 miRNAs were downregulated. Finally, 7 significantly different miRNAs were screened using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Conclusions: This study on the mechanism of target therapy in lung cancer systematically and comprehensively examined the miRNAs involved in osimertinib resistance. It was found that miR-708-5p, miR-708-3p, miR-10395-3p, miR-7704 miR-34a-5p, miR-19b-1-5p, and miR-219a-5p may play key roles in osimertinib resistance.

Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.

BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication following pediatric cardiac surgery, which is associated with increased morbidity and mortality. The early prediction of CSA-AKI before and immediately after surgery could significantly improve the implementation of preventive and therapeutic strategies during the perioperative periods. However, there is limited clinical information on how to identify pediatric patients at high risk of CSA-AKI. OBJECTIVE: The study aims to develop and validate machine learning models to predict the development of CSA-AKI in the pediatric population. METHODS: This retrospective cohort study enrolled patients aged 1 month to 18 years who underwent cardiac surgery with cardiopulmonary bypass at 3 medical centers of Central South University in China. CSA-AKI was defined according to the 2012 Kidney Disease: Improving Global Outcomes criteria. Feature selection was applied separately to 2 data sets: the preoperative data set and the combined preoperative and intraoperative data set. Multiple machine learning algorithms were tested, including K-nearest neighbor, naive Bayes, support vector machines, random forest, extreme gradient boosting (XGBoost), and neural networks. The best performing model was identified in cross-validation by using the area under the receiver operating characteristic curve (AUROC). Model interpretations were generated using the Shapley additive explanations (SHAP) method. RESULTS: A total of 3278 patients from one of the centers were used for model derivation, while 585 patients from another 2 centers served as the external validation cohort. CSA-AKI occurred in 564 (17.2%) patients in the derivation cohort and 51 (8.7%) patients in the external validation cohort. Among the considered machine learning models, the XGBoost models achieved the best predictive performance in cross-validation. The AUROC of the XGBoost model using only the preoperative variables was 0.890 (95% CI 0.876-0.906) in the derivation cohort and 0.857 (95% CI 0.800-0.903) in the external validation cohort. When the intraoperative variables were included, the AUROC increased to 0.912 (95% CI 0.899-0.924) and 0.889 (95% CI 0.844-0.920) in the 2 cohorts, respectively. The SHAP method revealed that baseline serum creatinine level, perfusion time, body length, operation time, and intraoperative blood loss were the top 5 predictors of CSA-AKI. CONCLUSIONS: The interpretable XGBoost models provide practical tools for the early prediction of CSA-AKI, which are valuable for risk stratification and perioperative management of pediatric patients undergoing cardiac surgery.

Risk factors, prognostic predictors, and nomograms for pancreatic cancer patients with initially diagnosed synchronous liver metastasis.

BACKGROUND: Liver metastasis (LM) remains a major cause of cancer-related death in patients with pancreatic cancer (PC) and is associated with a poor prognosis. Therefore, identifying the risk and prognostic factors in PC patients with LM (PCLM) is essential as it may aid in providing timely medical interventions to improve the prognosis of these patients. However, there are limited data on risk and prognostic factors in PCLM patients. AIM: To investigate the risk and prognostic factors of PCLM and develop corresponding diagnostic and prognostic nomograms. METHODS: Patients with primary PC diagnosed between 2010 and 2015 were reviewed from the Surveillance, Epidemiology, and Results Database. Risk factors were identified using multivariate logistic regression analysis to develop the diagnostic mode. The least absolute shrinkage and selection operator Cox regression model was used to determine the prognostic factors needed to develop the prognostic model. The performance of the two nomogram models was evaluated using receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA), and risk subgroup classification. The Kaplan-Meier method with a log-rank test was used for survival analysis. RESULTS: We enrolled 33459 patients with PC in this study. Of them, 11458 (34.2%) patients had LM at initial diagnosis. Age at diagnosis, primary site, lymph node metastasis, pathological type, tumor size, and pathological grade were identified as independent risk factors for LM in patients with PC. Age > 70 years, adenocarcinoma, poor or anaplastic differentiation, lung metastases, no surgery, and no chemotherapy were the independently associated risk factors for poor prognosis in patients with PCLM. The C- index of diagnostic and prognostic nomograms were 0.731 and 0.753, respectively. The two nomograms could accurately predict the occurrence and prognosis of patients with PCLM based on the observed analysis results of ROC curves, calibration plots, and DCA curves. The prognostic nomogram could stratify patients into prognostic groups and perform well in internal validation. CONCLUSION: Our study identified the risk and prognostic factors in patients with PCLM and developed corresponding diagnostic and prognostic nomograms to help clinicians in subsequent clinical evaluation and intervention. External validation is required to confirm these results.

Evaluation of the Efficacy of Optimized Two-Step-Administration Therapy with Ceftazidime/Avibactam for Treating Extensively Drug-Resistant Pseudomonas aeruginosa Pulmonary Infections: a Pharmacokinetic/Pharmacodynamic Analysis.

The objective of this pharmacokinetic (PK)/pharmacodynamic (PD) analysis was to evaluate the efficacy of different dosing regimens of ceftazidime/avibactam (CZA) for the treatment of pulmonary infections by extensively drug-resistant (XDR) Pseudomonas aeruginosa using optimized two-step administration therapy (OTAT) and traditional infusion (TI). We used Monte Carlo simulations (MCS) to integrate PK parameters with PD parameters to assess the adequacy of CZA dosing in critically ill patients with XDR P. aeruginosa pulmonary infections. Dosing models were as follows: 2.5 g q8h, 2.5 g q6h, 4 g q8h, 4 g q6h, 1.25 g q8h, 1.25 g q6h, and 0.94 g q12h. MCS showed that the cumulative fraction of response of all dosing regimens of OTAT was higher than 90%. The probability of target attainment of all dosing regimens of OTAT at MICs (minimal inhibitory concentrations) between 16 mg/L and 32 mg/L was higher than that of TI. Based on these models, PK/PD goals were met with OTAT regimens, even with high MICs (>16 mg/L) compared to traditional infusion (TI) intervals. Thus, this study indicates that OTAT with sufficient PK exposure could improve the efficacy of CZA in critically ill patients with XDR P. aeruginosa pulmonary infections.

Effects of mesenchymal stem cells in renovascular disease of preclinical and clinical studies: a systematic review and meta-analysis.

Renal artery stenosis (RAS) causes severe renovascular hypertension, worsening kidney function, and increased cardiovascular morbidity. According to recent studies, mesenchymal stem cells (MSCs) administration is a promising therapy for the improvement of RAS outcomes. The meta-analysis aims to evaluate the therapeutic effects of MSC therapy on RAS. We performed a search in MEDLINE, Web of Science, Embase, and Cochrane Library from inception to 5, October 2022. We included 16 preclinical and 3 clinical studies in this meta-analysis. In preclinical studies, the pooled results indicated that animals treated with MSCs had lower levels of systolic blood pressure (SBP) (SMD = - 1.019, 95% CI - 1.434 to - 0.604, I2 = 37.2%, P = 0.000), serum creatinine (Scr) (SMD = - 1.112, 95% CI - 1.932 to - 0.293, I2 = 72.0%, P = 0.008), and plasma renin activity (PRA) (SMD = - 0.477, 95% CI - 0.913 to 0.042, I2 = 43.4%, P = 0.032). The studies also revealed increased levels of renal blood flow (RBF) in stenotic kidney (STK) (SMD = 0.774, 95% CI - 0.351 to 1.197, I2 = 0%, P = 0.000) and the glomerular filtration rate (GFR) of STK (SMD = 1.825, 95% CI 0.963 to 2.688, I2 = 72.6%, P = 0.000). In clinical studies, the cortical perfusion and fractional hypoxia of the contralateral kidney (CLK) were alleviated by MSC therapy. Taken together, this meta-analysis revealed that MSCs therapy might be a promising treatment for RAS. However, due to the discrepancy between preclinical studies and early clinical trials outcomes, MSC therapy couldn't be recommended in clinical care for the moment, more high-quality randomized controlled clinical trials are needed to validate our conclusions and standardize MSCs protocols.

Compassionate Use of Contezolid for the Treatment of Tuberculous Pleurisy in a Patient with a Leadless Pacemaker.

We report the case of an 87-year-old woman with tuberculous pleurisy. She developed adverse effects in the form of thrombocytopenia and gastrointestinal hemorrhage with isoniazid, and thrombocytopenia with linezolid. Her treatment was switched to contezolid plus cycloserine for a 4-week antibiotic duration, with a favorable outcome.

Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury.

Background: Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill patients, which is associated with significantly increased mortality. Existing mortality prediction tools showed insufficient predictive power or failed to reflect patients' dynamic clinical evolution. Therefore, the study aimed to develop and validate machine learning-based models for real-time mortality prediction in critically ill patients with SA-AKI. Methods: The multi-center retrospective study included patients from two distinct databases. A total of 12,132 SA-AKI patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) were randomly allocated to the training, validation, and internal test sets. An additional 3,741 patients from the eICU Collaborative Research Database (eICU-CRD) served as an external test set. For every 12 h during the ICU stays, the state-of-the-art eXtreme Gradient Boosting (XGBoost) algorithm was used to predict the risk of in-hospital death in the following 48, 72, and 120 h and in the first 28 days after ICU admission. Area under the receiver operating characteristic curves (AUCs) were calculated to evaluate the models' performance. Results: The XGBoost models, based on routine clinical variables updated every 12 h, showed better performance in mortality prediction than the SOFA score and SAPS-II. The AUCs of the XGBoost models for mortality over different time periods ranged from 0.848 to 0.804 in the internal test set and from 0.818 to 0.748 in the external test set. The shapley additive explanation method provided interpretability for the XGBoost models, which improved the understanding of the association between the predictor variables and future mortality. Conclusions: The interpretable machine learning XGBoost models showed promising performance in real-time mortality prediction in critically ill patients with SA-AKI, which are useful tools for early identification of high-risk patients and timely clinical interventions.

Early recovery status and outcomes after sepsis-associated acute kidney injury in critically ill patients. / å±é‡ç—‡æ‚£è€ è„“æ¯’ç—‡æ€¥æ€§è‚¾æŸä¼¤åŽçš„æ—©æœŸæ¢å¤æ¨¡å¼ä¸Žé¢„åŽ.

OBJECTIVES: Acute kidney injury (AKI) is one of the common complications in critically ill septic patients, which is associated with increased risks of death, cardiovascular events, and chronic renal dysfunction. The duration of AKI and the renal function recovery status after AKI onset can affect the patient prognosis. Nevertheless, it remains controversial whether early recovery status after AKI is closely related to the prognosis in patients with sepsis-associated AKI (SA-AKI). In addition, early prediction of renal function recovery after AKI is beneficial to individualized treatment decision-making and prevention of severe complications, thus improving the prognosis. At present, there is limited clinical information on how to identify SA-AKI patients at high risk of unrecovered renal function at an early stage. The study aims to investigate the association between early recovery status after SA-AKI, identify risk factors for unrecovered renal function, and to improve patients' quality of life. METHODS: We retrospectively analyzed clinical data of septic patients who were admitted to the intensive care unit (ICU) and developed AKI within the first 48 hours after ICU admission in the Second Xiangya Hospital and the Third Xiangya Hospital of Central South University from January 2015 to March 2017. Sepsis was defined based on the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). AKI was diagnosed and staged according to the 2012 Kidney Disease: Improving Global Outcomes (KDIGO) guideline. SA-AKI patients were assigned into 3 groups including a complete recovery group, a partial recovery group, and an unrecovered group based on recovery status at Day 7 after the diagnosis of AKI. Patients' baseline characteristics were collected, including demographics, comorbidities, clinical and laboratory examination information at ICU admission, and treatment within the first 24 hours. The primary outcome of the study was the composite of death and chronic dialysis at 90 days, and secondary outcomes included length of stay in the ICU, length of stay in the hospital, and persistent renal dysfunction. Multivariate regression analysis was performed to evaluate the prognostic value of early recovery status after AKI and to determine the risk factors for unrecovered renal function after AKI. Sensitivity analysis was conducted in patients who still stayed in hospital on Day 7 after AKI diagnosis, patients without premorbid chronic kidney disease, and patients with AKI Stage 2 to 3. RESULTS: A total of 553 SA-AKI patients were enrolled, of whom 251 (45.4%), 73 (13.2%), and 229 (41.4%) were categorized as the complete recovery group, the partial recovery group, and the unrecovered group, respectively. Compared with the complete or partial recovery group, the unrecovered group had a higher incidence of 90-day mortality (unrecovered vs partial recovery or complete recovery: 64.2% vs 26.0% or 22.7%; P<0.001) and 90-day composite outcome (unrecovered vs partial recovery or complete recovery: 65.1% vs 27.4% or 22.7%; P<0.001). The unrecovered group also had a shorter length of stay in the hospital and a larger proportion of progression into persistent renal dysfunction than the other 2 groups. After adjustment for potential confounders, patients in the unrecovered group were at an increased risk of 90-day mortality (HR=3.50, 95% CI 2.47 to 4.96, P<0.001) and 90-day composite outcome (OR=5.55, 95% CI 3.43 to 8.98, P<0.001) when compared with patients in the complete recovery group, but patients in the partial recovery group had no significant difference (P>0.05). Male sex, congestive heart failure, pneumonia, respiratory rate >20 beats per minute, anemia, hyperbilirubinemia, need for mechanical ventilation, and AKI Stage 3 were identified as independent risk factors for unrecovered renal function after AKI. The sensitivity analysis further supported that unrecovered renal function after AKI remained an independent predictor for 90-day mortality and composite outcome in the subgroups. CONCLUSIONS: The early recovery status after AKI is closely associated with poor prognosis in critically ill patients with SA-AKI. Unrecovered renal function within the first 7 days after AKI diagnosis is an independent predictor for 90-day mortality and composite outcome. Male sex, congestive heart failure, pneumonia, tachypnea, anemia, hyperbilirubinemia, respiratory failure, and severe AKI are risk factors for unrecovered renal function after AKI. Therefore, timely assessment for the renal function in the early phase after AKI diagnosis is essential for SA-AKI patients. Furthermore, patients with unrecovered renal function after AKI need additional management in the hospital, including rigorous monitoring, avoidance of nephrotoxin, and continuous assessment for the renal function, and after discharge, including more frequent follow-up, regular outpatient consultation, and prevention of long-term adverse events.

Is intravenous iodinated contrast medium administration really harmful in hospitalized acute kidney injury patients: a propensity score-matched study.

OBJECTIVES: To evaluate the effects of intravenous iodinated contrast medium (ICM) administration on the deterioration of renal function (DRF), new renal replacement therapy (RRT) induction and mortality of hospitalized acute kidney injury (AKI) patients. METHODS: Adult hospitalized patients undergoing a contrast-enhanced or unenhanced CT scan within 7 days after AKI diagnosis from January 2015 to December 2019 were identified in this retrospective study. Propensity score matching was performed. Outcomes in 7 and 30 days after CT scan were compared between the contrast and non-contrast groups. Additional analyses were also performed in patients stratified by SCr levels at AKI diagnosis, times and time of CT scan, and in patients without chronic kidney disease or RRT requirement prior to CT scan. RESULTS: In total, 1172 pairs were generated after 1:1 propensity score matching from 1336 cases exposed to ICM and 2724 unexposed. No significant differences were found in the outcomes between the two groups: DRF, 7.8% vs 9.0% (odds ratio (OR) 0.83, 95% confidence interval (CI) 0.62-1.11) in 7 days, 5.1% vs 5.4% (OR 0.93, 95%CI 0.64-1.34) in 30 days; new RRT induction, 2.3% vs 3.3% (OR 0.72,95%CI 0.43-1.18) in 7 days, 4.2% vs 4.5% (OR 0.95,95%CI 0.64-1.41) in 30 days; and mortality, 3.9% vs 4.8% (OR 0.83,95%CI 0.56-1.22) in 7 days, 9.0% vs 10.2% (OR 0.88,95%CI 0.68-1.15) in 30 days. Subset analyses showed similar results. CONCLUSION: Intravenous ICM administration during AKI duration did not increase the risks of DRF, new RRT induction, and mortality in 7 and 30 days after CT scan. KEY POINTS: • Intravenous ICM administration in hospitalized AKI patients does not increase the risks of deterioration of renal function, RRT induction, and mortality in 7 and 30 days after CT scan. • The effects of intravenous ICM on adverse outcomes are minimal even in AKI patients with high level of SCr values or multiple CT scans.

The effects of molecular weight of hyaluronic acid on transdermal delivery efficiencies of dissolving microneedles.

Hyaluronic acid (HA) is widely adopted to fabricate dissolving microneedles for transdermal drug delivery applications, yet the structure-activity relationship between molecular weight of HA and transdermal delivery efficiency of microneedles (HA-MNs) has not been fully explored, particularly in the transdermal delivery of small molecule drugs. Herein, we report the fabrication of three types of HA-MNs of various molecular weights (10k, 74k and 290k Da), which incorporate rhodamine B as the model drug. We assess the influence of molecular weight of HA on the mechanical properties of HA-MNs and transdermal delivery of rhodamine B in vitro and in vivo. The mechanical strength of all types of HA-MNs exceeds the minimal force requirement for skin penetration, with the highest values of compression force found in 10k-HA-MN. Interestingly, 74k-HA-MN that owns a medium mechanical strength, exhibits the highest efficiency in transdermal delivery of rhodamine B in a porcine skin and a Franz cell transdermal model. Further in vivo fluorescence imaging of HA-MN-treated mice reveals a tunable transdermal delivery of rhodamine B, which is controllable according to the molecular weight of HA. Importantly, 74k-HA-MN treatment demonstrates the highest initial delivering amount and longest retention time of rhodamine B in mice. In addition, histological examinations of puncture sites of the skin tissues confirm the complete recovery of skin and excellent biocompatibility of HA-MNs.

Gasdermin D in Different Subcellular Locations Predicts Diverse Progression, Immune Microenvironment and Prognosis in Colorectal Cancer.

BACKGROUND: Pyroptosis is a type of cell death that causes an immune reaction. Gasdermin D (GSDMD), as an executor of pyroptosis, has become an attractive target in cancer research. However, the clinical significance of GSDMD expression in different subcellular locations remains unclear. METHODS: GSDMD was detected by immunohistochemistry in 178 cases of colorectal cancer with follow-up information. General data and information on systemic inflammatory indicators were collected from case records, and the clinicopathological parameters were reviewed by microscopy. CD3+, CD4+, and CD8+ T lymphocytes, CD20+ B lymphocytes, and CD68+ macrophages were detected by immunohistochemistry. Univariate survival analysis (Kaplan-Meier method, Log rank test) and a multivariate Cox proportional hazard model were used to analyze the impact of GSDMD on overall survival. RESULTS: Survival analysis showed that high expression of cytoplasmic GSDMD was an independent favorable indicator for prognosis (P=0.027) and improved the efficacy of chemotherapy (P=0.012). Positive cytoplasmic GSDMD expression indicated lower probability of distant metastasis (P=0.024), yet nuclear GSDMD expression predicted deeper infiltration depth (P=0.007). Membranous GSDMD expression positively correlated with CD68+ macrophages in tumor center (P=0.002) and CD8+ lymphocytes in tumor invasive front (P=0.007). However, nuclear GSDMD was negatively related to CD68+ macrophages in tumor invasive front (P<0.001) and CD8+ lymphocytes in tumor center (P=0.069). Cytoplasmic GSDMD was associated with more CD3+ lymphocytes both in tumor center (P=0.066) and tumor invasive front (P=0.008). Moreover, positive membranous GSDMD indicated a lower neutrophil-to-lymphocyte ratio (P=0.013). CONCLUSION: GSDMD subcellular localization patterns are related to CRC progression and immune reaction, and should be investigated in future studies.

Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis.

Acute kidney injury (AKI) is commonly present in critically ill patients with sepsis. Early prediction of short-term reversibility of AKI is beneficial to risk stratification and clinical treatment decision. The study sought to use machine learning methods to discriminate between transient and persistent sepsis-associated AKI. Septic patients who developed AKI within the first 48 h after ICU admission were identified from the Medical Information Mart for Intensive Care III database. AKI was classified as transient or persistent according to the Acute Disease Quality Initiative workgroup consensus. Five prediction models using logistic regression, random forest, support vector machine, artificial neural network and extreme gradient boosting were constructed, and their performance was evaluated by out-of-sample testing. A simplified risk prediction model was also derived based on logistic regression and features selected by machine learning algorithms. A total of 5984 septic patients with AKI were included, 3805 (63.6%) of whom developed persistent AKI. The artificial neural network and logistic regression models achieved the highest area under the receiver operating characteristic curve (AUC) among the five machine learning models (0.76, 95% confidence interval [CI] 0.74-0.78). The simplified 14-variable model showed adequate discrimination, with the AUC being 0.76 (95% CI 0.73-0.78). At the optimal cutoff of 0.63, the sensitivity and specificity of the simplified model were 63% and 76% respectively. In conclusion, a machine learning-based simplified prediction model including routine clinical variables could be used to differentiate between transient and persistent AKI in critically ill septic patients. An easy-to-use risk calculator can promote its widespread application in daily clinical practice.

Pharmacokinetic/pharmacodynamic modelling to evaluate the efficacy of various dosing regimens of ceftazidime/avibactam in patients with pneumonia caused by Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae: a multicentre study in northern China.

OBJECTIVES: The objective of this study was to evaluate the efficacy of different dosing regimens of ceftazidime/avibactam (CZA) in patients with Klebsiella pneumoniae carbapenemase-producing K. pneumoniae (KPC-Kp) pulmonary infections. METHODS: A total of 70 KPC-Kp strains were isolated from sputum and bronchoalveolar lavage samples of patients with pulmonary infections in three hospitals in northern China from April 2015 to October 2015. Monte Carlo simulation (MCS) was performed using population pharmacokinetic parameters of CZA combined with the minimum inhibitory concentration (MIC) distributions gained from antimicrobial susceptibility testing to predict the efficacy of different dosing regimens. Various CZA dosing regimens were modelled using MCS. RESULTS: The in vitro study showed potent activity of CZA against KPC-Kp strains with MIC50/90 values of 1/2 mg/L, with a susceptibility rate of 95.7%. The values of cumulative fraction of response (CFR) for bactericidal (50%fT>5 × MIC) target were as follows: for patients with creatinine clearance (CLCr) >51 mL/min, the CFR was 96.01% for 2.5 g CZA every 12 h (q12h) and 97.14% for 2.5 g CZA every 8 h (q8h); and for patients with moderate renal impairment (CLCr >30 to ≤50 mL/min), the CFR was 95.75% for 1.25 g CZA q12h and 97.09% for 1.25 g CZA q8h. CONCLUSION: This study indicated that the recommended dose of CZA can provide adequate pharmacodynamic exposure for treating KPC-Kp pneumonia.

Development of mortality prediction model in the elderly hospitalized AKI patients.

Acute kidney injury (AKI) correlates with increased health-care costs and poor outcomes in older adults. However, there is no good scoring system to predict mortality within 30-day, 1-year after AKI in older adults. We performed a retrospective analysis screening data of 53,944 hospitalized elderly patients (age > 65 years) from multi-centers in China. 944 patients with AKI (acute kidney disease) were included and followed up for 1 year. Multivariable regression analysis was used for developing scoring models in the test group (a randomly 70% of all the patients). The established models have been verified in the validation group (a randomly 30% of all the patients). Model 1 that consisted of the risk factors for death within 30 days after AKI had accurate discrimination (The area under the receiver operating characteristic curves, AUROC: 0.90 (95% CI 0.875-0.932)) in the test group, and performed well in the validation groups (AUROC: 0.907 (95% CI 0.865-0.949)). The scoring formula of all-cause death within 1 year (model 2) is a seven-variable model including AKI type, solid tumor, renal replacement therapy, acute myocardial infarction, mechanical ventilation, the number of organ failures, and proteinuria. The area under the receiver operating characteristic (AUROC) curves of model 2 was > 0.80 both in the test and validation groups. Our newly established risk models can well predict the risk of all-cause death in older hospitalized AKI patients within 30 days or 1 year.