Kidney organoids reveal redundancy in viral entry pathways during ACE2-dependent SARS-CoV-2 infection.

With a high incidence of acute kidney injury among hospitalized COVID-19 patients, considerable attention has been focussed on whether SARS-CoV-2 specifically targets kidney cells to directly impact renal function, or whether renal damage is primarily an indirect outcome. To date, several studies have utilized kidney organoids to understand the pathogenesis of COVID-19, revealing the ability for SARS-CoV-2 to predominantly infect cells of the proximal tubule (PT), with reduced infectivity following administration of soluble ACE2. However, the immaturity of standard human kidney organoids represents a significant hurdle, leaving the preferred SARS-CoV-2 processing pathway, existence of alternate viral receptors, and the effect of common hypertensive medications on the expression of ACE2 in the context of SARS-CoV-2 exposure incompletely understood. Utilizing a novel kidney organoid model with enhanced PT maturity, genetic- and drug-mediated inhibition of viral entry and processing factors confirmed the requirement for ACE2 for SARS-CoV-2 entry but showed that the virus can utilize dual viral spike protein processing pathways downstream of ACE2 receptor binding. These include TMPRSS- and CTSL/CTSB-mediated non-endosomal and endocytic pathways, with TMPRSS10 likely playing a more significant role in the non-endosomal pathway in renal cells than TMPRSS2. Finally, treatment with the antihypertensive ACE inhibitor, lisinopril, showed negligible impact on receptor expression or susceptibility of renal cells to infection. This study represents the first in-depth characterization of viral entry in stem cell-derived human kidney organoids with enhanced PTs, providing deeper insight into the renal implications of the ongoing COVID-19 pandemic. IMPORTANCE: Utilizing a human iPSC-derived kidney organoid model with improved proximal tubule (PT) maturity, we identified the mechanism of SARS-CoV-2 entry in renal cells, confirming ACE2 as the sole receptor and revealing redundancy in downstream cell surface TMPRSS- and endocytic Cathepsin-mediated pathways. In addition, these data address the implications of SARS-CoV-2 exposure in the setting of the commonly prescribed ACE-inhibitor, lisinopril, confirming its negligible impact on infection of kidney cells. Taken together, these results provide valuable insight into the mechanism of viral infection in the human kidney.

Quality by Design Considerations for Drop-on-Demand Point-of-Care Pharmaceutical Manufacturing of Precision Medicine.

Distributed and point-of-care (POC) manufacturing facilities enable an agile pharmaceutical production paradigm that can respond to localized needs, providing personalized and precision medicine. These capabilities are critical for narrow therapeutic index drugs and pediatric or geriatric dosing, among other specialized needs. Advanced additive manufacturing, three-dimensional (3D) printing, and drop-on-demand (DoD) dispensing technologies have begun to expand into pharmaceutical production. We employed a quality by design (QbD) approach to identify critical quality attributes (CQAs), critical material attributes (CMAs), and critical process parameters (CPPs) of a POC pharmaceutical manufacturing paradigm. This theoretical framework encompasses the production of active pharmaceutical ingredient (API) "inks" at a centralized facility, which are distributed to POC sites for DoD dispensing into/onto delivery vehicles (e.g., orodispersible films, capsules, single liquid dose vials). Focusing on the POC dispensing/dosing processes, QbD considerations and cause-and-effect analyses identified the dispensed API quantity and solid-state form (CQAs), as well as the nozzle diameter, system pressure channel, and number of drops dispensed (CPPs) for detailed investigation. Final assay quantification and content uniformity CQAs were measured from demonstrative levothyroxine sodium single-dose liquid vials of glycerin/water, meeting the standard acceptance values. Each POC facility is unlikely to maintain full quality control laboratory capabilities, requiring the development of appropriate atline or inline methods to ensure quality control. We developed control strategies, including atline ultraviolet-visible (UV-vis) verification of the API ink prior to dispensing, inline drop counting during dispensing, intermediate atline-dispensed volume checks, and offline batch confirmation by liquid chromatography-tandem mass spectrometry (LC-MS/MS) following production.

Outcome of immunosuppression in children with IgA vasculitis-related nephritis.

BACKGROUND AND HYPOTHESIS: IgA vasculitis with nephritis (IgAVN) is the most common vasculitis in children. Treatment recommendations are, due to a lack of evidence, based on expert opinion resulting in variation. The aim of this study was to describe clinical presentation, treatment and outcome of an extremely large cohort of children with biopsy proven IgAVN to identify prognostic risk factors and signals of treatment efficacy. METHODS: Retrospective data were collected on 1148 children with biopsy proven IgAVN between 2005 and 2019 from 41 international paediatric nephrology centres across 25 countries and analyzed using multivariate analysis. The primary outcome was estimated glomerular filtration rate (eGFR) and persistent proteinuria at last follow up. RESULTS: The median follow up was 3.7 years (IQR 2-6.2). At last follow up, 29% of patients had an eGFR < 90 ml/min/1.73m2, 36% had proteinuria and 3% had chronic kidney disease stage 4-5. Older age, lower eGFR at onset, hypertension and histological features of tubular atrophy and segmental sclerosis were predictors of poor outcome. There was no evidence to support any specific second line immunosuppressive regimen to be superior to others, even when further analysing subgroups of children with reduced kidney function, nephrotic syndrome or hypoalbuminemia at onset. Delayed start of immunosuppressive treatment was associated with a lower eGFR at last follow up. CONCLUSION: In this large retrospective cohort, key features associated with disease outcome are highlighted. Importantly there was no evidence to support that any specific immunosuppressive treatments were superior to others. Further discovery science and well-conducted clinical trials are needed to define accurate treatment and improve outcomes of IgAVN.

The role of sealants for achieving anastomotic hemostasis in vascular surgery.

BACKGROUND: During vascular interventions, connections that link arteries, veins, or synthetic grafts, which are known as an 'anastomosis', may be necessary. Vascular anastomoses can bleed from the needle holes that result from the creation of the anastomoses. Various surgical options are available for achieving hemostasis, or the stopping of bleeding, including the application of sealants directly onto the bleeding vessels or tissues. Sealants are designed for use in vascular surgery as adjuncts when conventional interventions are ineffective and are applied directly by the surgeon to seal bleeding anastomoses. Despite the availability of several different types of sealants, the evidence for the clinical efficacy of these hemostatic adjuncts has not been definitively established in vascular surgery patients. OBJECTIVES: To evaluate the benefits and harms of sealants as adjuncts for achieving anastomotic site hemostasis in patients undergoing vascular surgery. SEARCH METHODS: The Cochrane Vascular Information Specialist conducted systematic searches of the following databases: the Cochrane Vascular Specialised Register via the Cochrane Register of Studies; the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE via Ovid; Embase via Ovid ; and CINAHL via EBSCO. We also searched ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform for clinical trials. Reference lists of included trials and relevant reviews were also searched. The latest search date was 6 March 2023. SELECTION CRITERIA: We included randomized controlled trials that compared fibrin or synthetic sealant use with alternative interventions (e.g. manual compression, reversal of anticoagulation) for achieving anastomotic-site hemostasis in vascular surgery procedures. We included participants who underwent the creation of an anastomosis during vascular surgery. We excluded non-vascular surgery patients. DATA COLLECTION AND ANALYSIS: We have used standard Cochrane methods. Our primary outcomes were time to hemostasis, failure of hemostatic intervention, and intraoperative blood loss. Our secondary outcomes were operating time, death from bleeding complications up to 30 days, postoperative bleeding up to 30 days, unplanned return to the operating room for bleeding complications management up to 30 days, quality of life, and adverse events. We used GRADE to assess the certainty of evidence for each outcome. MAIN RESULTS: We found 24 randomized controlled trials that included a total of 2376 participants who met the inclusion criteria. All trials compared sealant use with standard care controls, including oxidized cellulose, gelatin sponge, and manual compression. All trials were at high risk of performance bias, detection bias, and other sources of bias. We downgraded the certainty of evidence for risk of bias concerns, inconsistency, imprecision and possible publication bias. Combining data on time to hemostasis showed that sealant use may reduce the mean time to hemostasis compared to control (mean difference (MD) -230.09 seconds, 95% confidence interval (CI) -329.24 to -130.94; P < 0.00001; 7 studies, 498 participants; low-certainty evidence). Combining data on failure of hemostatic intervention showed that sealant use may reduce the rate of failure compared to control, but the evidence is very uncertain (risk ratio (RR) 0.46, 95% CI 0.35 to 0.61; P < 0.00001; 17 studies, 2120 participants; very low-certainty evidence). We did not detect any clear differences between the sealant and control groups for intraoperative blood loss (MD -32.69 mL, 95% CI -96.21 to 30.83; P = 0.31; 3 studies, 266 participants; low-certainty evidence); operating time (MD -18.72 minutes, 95% CI -40.18 to 2.73; P = 0.09; 4 studies, 436 participants; low-certainty evidence); postoperative bleeding (RR 0.78, 95% CI 0.59 to 1.04; P = 0.09; 9 studies, 1216 participants; low-certainty evidence), or unplanned return to the operating room (RR 0.27, 95% CI 0.04 to 1.69; P = 0.16; 8 studies, 721 participants; low-certainty evidence). No studies reported death from bleeding or quality of life outcomes. AUTHORS' CONCLUSIONS: Based on meta-analysis of 24 trials with 2376 participants, our review demonstrated that sealant use for achieving anastomotic hemostasis in vascular surgery patients may result in reduced time to hemostasis, and may reduce rates of hemostatic intervention failure, although the evidence is very uncertain, when compared to standard controls. Our analysis showed there may be no differences in intraoperative blood loss, operating time, postoperative bleeding up to 30 days, and unplanned return to the operating room for bleeding complications up to 30 days. Deaths and quality of life could not be analyzed. Limitations include the risk of bias in all studies. Our review has demonstrated that using sealants may reduce the time required to achieve hemostasis and the rate of hemostatic failure. However, a significant risk of bias was identified in the included studies, and future trials are needed to provide unbiased data and address other considerations such as cost-effectiveness and adverse events with sealant use.

Development of an Artificial Intelligence Tool for Intraoperative Guidance During Endovascular Abdominal Aortic Aneurysm Repair.

BACKGROUND: Adverse events during surgery can occur in part due to errors in visual perception and judgment. Deep learning is a branch of artificial intelligence (AI) that has shown promise in providing real-time intraoperative guidance. This study aims to train and test the performance of a deep learning model that can identify inappropriate landing zones during endovascular aneurysm repair (EVAR). METHODS: A deep learning model was trained to identify a "No-Go" landing zone during EVAR, defined by coverage of the lowest renal artery by the stent graft. Fluoroscopic images from elective EVAR procedures performed at a single institution and from open-access sources were selected. Annotations of the "No-Go" zone were performed by trained annotators. A 10-fold cross-validation technique was used to evaluate the performance of the model against human annotations. Primary outcomes were intersection-over-union (IoU) and F1 score and secondary outcomes were pixel-wise accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). RESULTS: The AI model was trained using 369 images procured from 110 different patients/videos, including 18 patients/videos (44 images) from open-access sources. For the primary outcomes, IoU and F1 were 0.43 (standard deviation ± 0.29) and 0.53 (±0.32), respectively. For the secondary outcomes, accuracy, sensitivity, specificity, NPV, and PPV were 0.97 (±0.002), 0.51 (±0.34), 0.99 (±0.001). 0.99 (±0.002), and 0.62 (±0.34), respectively. CONCLUSIONS: AI can effectively identify suboptimal areas of stent deployment during EVAR. Further directions include validating the model on datasets from other institutions and assessing its ability to predict optimal stent graft placement and clinical outcomes.

Ravulizumab facilitates reduced burden of vascular access, a major benefit in paediatric atypical haemolytic uraemic syndrome.

BACKGROUND: Atypical haemolytic uraemic syndrome (aHUS) is a rare thrombotic microangiopathy resulting from dysregulation of the alternative complement pathway, leading to multi-organ dysfunction and chronic kidney disease. Eculizumab is an anti-C5 monoclonal antibody therapy that has significantly improved aHUS disease control and patient outcomes, however it requires fortnightly intravenous dosing. This often necessitates long term central access and a high hospital attendance burden. Ravulizumab is a novel, next-generation anti-C5 monoclonal antibody engineered from eculizumab to reduce endosomal degradation of the antibody, increasing the dosing interval up to 8 weeks. CASE SERIES: In this retrospective case series we present the transition of three children with aHUS from eculizumab to ravulizumab from a single tertiary paediatric nephrology service. All patients underwent genomic and immunological work up for aHUS, with no cause found. After stabilisation with eculizumab, two patients developed macrovascular thrombotic complications associated with indwelling central vascular catheters, ultimately leading to central access failure. All patients were transitioned from eculizumab to ravulizumab without relapse of aHUS. One patient successfully underwent deceased donor kidney transplantation with ravulizumab for complement inhibition. All patients have transitioned to peripheral access for infusions given the reduced frequency of dosing, maintaining good control of aHUS for 2-4 years. CONCLUSION: Ravulizumab permits sufficiently reduced frequency of infusion to allow for administration by peripheral cannulation - removing the risks of long term central vascular access often required to deliver eculizumab to paediatric patients.

Kidney Organoids Generated Using an Allelic Series of NPHS2 Point Variants Reveal Distinct Intracellular Podocin Mistrafficking.

BACKGROUND: NPHS2 variants are the most common cause of steroid-resistant nephrotic syndrome in children >1 month old. Missense NPHS2 variants were reported to cause mistrafficking of the encoded protein, PODOCIN, but this conclusion was on the basis of overexpression in some nonpodocyte cell lines. METHODS: We generated a series of human induced pluripotent stem cell (iPSC) lines bearing pathogenic missense variants of NPHS2 , encoding the protein changes p.G92C, p.P118L, p.R138Q, p.R168H, and p.R291W, and control lines. iPSC lines were also generated from a patient with steroid-resistant nephrotic syndrome (p.R168H homozygote) and a healthy heterozygous parent. All lines were differentiated into kidney organoids. Immunofluorescence assessed PODOCIN expression and subcellular localization. Podocytes were transcriptionally profiled and PODOCIN-NEPHRIN interaction interrogated. RESULTS: All variant lines revealed reduced levels of PODOCIN protein in the absence of reduced transcription. Although wild-type PODOCIN localized to the membrane, distinct variant proteins displayed unique patterns of subcellular protein trafficking, some unreported. P118L and R138Q were preferentially retained in the endoplasmic reticulum (ER); R168H and R291W accumulated in the Golgi. Podocyte profiling demonstrated minimal disease-associated transcriptional change. All variants displayed podocyte-specific apoptosis, which was not linked to ER stress. NEPHRIN-PODOCIN colocalization elucidated the variant-specific effect on NEPHRIN association and hence NEPHRIN trafficking. CONCLUSIONS: Specific variants of endogenous NPHS2 result in distinct subcellular PODOCIN localization within organoid podocytes. Understanding the effect of each variant on protein levels and localization and the effect on NEPHRIN provides additional insight into the pathobiology of NPHS2 variants. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_01_05_JASN2022060707.mp3.

PHYOX2: a pivotal randomized study of nedosiran in primary hyperoxaluria type 1 or 2.

Nedosiran is an investigational RNA interference agent designed to inhibit expression of hepatic lactate dehydrogenase, the enzyme thought responsible for the terminal step of oxalate synthesis. Oxalate overproduction is the hallmark of all genetic subtypes of primary hyperoxaluria (PH). In this double-blind, placebo-controlled study, we randomly assigned (2:1) 35 participants with PH1 (n = 29) or PH2 (n = 6) with eGFR ≥30 mL/min/1.73 m2 to subcutaneous nedosiran or placebo once monthly for 6 months. The area under the curve (AUC) of percent reduction from baseline in 24-hour urinary oxalate (Uox) excretion (primary endpoint), between day 90-180, was significantly greater with nedosiran vs placebo (least squares mean [SE], +3507 [788] vs -1664 [1190], respectively; difference, 5172; 95% CI 2929-7414; P < 0.001). A greater proportion of participants receiving nedosiran vs placebo achieved normal or near-normal (<0.60 mmol/24 hours; <1.3 × ULN) Uox excretion on ≥2 consecutive visits starting at day 90 (50% vs 0; P = 0.002); this effect was mirrored in the nedosiran-treated PH1 subgroup (64.7% vs 0; P < 0.001). The PH1 subgroup maintained a sustained Uox reduction while on nedosiran, whereas no consistent effect was seen in the PH2 subgroup. Nedosiran-treated participants with PH1 also showed a significant reduction in plasma oxalate versus placebo (P = 0.017). Nedosiran was generally safe and well tolerated. In the nedosiran arm, the incidence of injection-site reactions was 9% (all mild and self-limiting). In conclusion, participants with PH1 receiving nedosiran had clinically meaningful reductions in Uox, the mediator of kidney damage in PH.

Rapid Chemical Screening of Microplastics and Nanoplastics by Thermal Desorption and Pyrolysis Mass Spectrometry with Unsupervised Fuzzy Clustering.

The transport and chemical identification of microplastics and nanoplastics (MNPs) are critical to the concerns over plastic accumulation in the environment. Chemically and physically transient MNP species present unique challenges for isolation and analysis due to many factors such as their size, color, surface properties, morphology, and potential for chemical change. These factors contribute to the eventual environmental and toxicological impact of MNPs. As analytical methods and instrumentation continue to be developed for this application, analytical test materials will play an important role. Here, a direct mass spectrometry screening method was developed to rapidly characterize manufactured and weathered MNPs, complementing lengthy pyrolysis-gas chromatography-mass spectrometry analysis. The chromatography-free measurements took advantage of Kendrick mass defect analysis, in-source collision-induced dissociation, and advancements in machine learning approaches for the data analysis of complex mass spectra. In this study, we applied Gaussian mixture models and fuzzy c-means clustering for the unsupervised analysis of MNP sample spectra, incorporating clustering stability and information criterion measurements to determine latent dimensionality. These models provided insight into the composition of mixed and weathered MNP samples. The multiparametric data acquisition and machine learning approach presented improved confidence in polymer identification and differentiation.

Assessing the robustness of negative vascular surgery randomized controlled trials using their reverse fragility index.

OBJECTIVE: The reverse fragility index (RFI) describes the number of event conversions needed to convert a statistically nonsignificant dichotomous outcome to a significant one. The objective of the present study was to assess the RFI of vascular surgery randomized controlled trials (RCTs) comparing endovascular vs open surgery for the treatment of abdominal aortic aneurysms (AAAs), carotid artery stenosis (CAS), and peripheral artery disease (PAD). METHODS: MEDLINE and Embase were searched for RCTs that had investigated AAAs, CAS, or PAD with statistically nonsignificant binary primary outcomes. The primary outcome for the present study was the median RFI. Calculation of the RFI was performed by creating two-by-two contingency tables and subtracting events from the group with fewer events and adding nonevents to the same group until a two-tailed Fisher exact test had produced a statistically significant result (P ≤ .05). RESULTS: Of 4187 reports, 49 studies reporting 103 different primary end points were included. The overall median RFI was 7 (interquartile range [IQR], 5-13). The specific RFIs for AAA, CAS, and PAD were 10 (IQR, 6-15.5), 6 (IQR, 5-9.5), and 7 (IQR, 5.5-10), respectively. Of the 103 end points, 42 (47%) had had a loss to follow-up greater than the RFI, of which 10 were AAA trials (24%), 23 were CAS trials (55%), and 9 were PAD trials (21%). The Pearson correlation demonstrated a significant positive relationship between a study's RFI and the impact factor of its publishing journal (r = 0.38; 95% confidence interval [CI], 0.20-0.54; P < .01), length of follow-up (r = 0.43; 95% CI, 0.26-0.58; P < .01), and sample size (r = 0.28; 95% CI, 0.09-0.45; P < .01). CONCLUSIONS: A small number of events (median, 7) was required to change the outcome of negative RCTs from statistically nonsignificant to significant, with 47% of the studies having missing data that could have reversed the finding of its primary outcome. Reporting of the RFI relative to the loss to follow-up could be of benefit in future trials and provide confidence regarding the robustness of the P value.

Using machine learning to predict outcomes following open abdominal aortic aneurysm repair.

OBJECTIVE: Prediction of outcomes following open abdominal aortic aneurysm (AAA) repair remains challenging with a lack of widely used tools to guide perioperative management. We developed machine learning (ML) algorithms that predict outcomes following open AAA repair. METHODS: The Vascular Quality Initiative (VQI) database was used to identify patients who underwent elective open AAA repair between 2003 and 2023. Input features included 52 preoperative demographic/clinical variables. All available preoperative variables from VQI were used to maximize predictive performance. The primary outcome was in-hospital major adverse cardiovascular event (MACE; composite of myocardial infarction, stroke, or death). Secondary outcomes were individual components of the primary outcome, other in-hospital complications, and 1-year mortality and any reintervention. We split our data into training (70%) and test (30%) sets. Using 10-fold cross-validation, six ML models were trained using preoperative features (Extreme Gradient Boosting [XGBoost], random forest, Naïve Bayes classifier, support vector machine, artificial neural network, and logistic regression). The primary model evaluation metric was area under the receiver operating characteristic curve (AUROC). Model robustness was evaluated with calibration plot and Brier score. The top 10 predictive features in our final model were determined based on variable importance scores. Performance was assessed on subgroups based on age, sex, race, ethnicity, rurality, median area deprivation index, proximal clamp site, prior aortic surgery, and concomitant procedures. RESULTS: Overall, 12,027 patients were included. The primary outcome of in-hospital MACE occurred in 630 patients (5.2%). Compared with patients without a primary outcome, those who developed in-hospital MACE were older with more comorbidities, demonstrated poorer functional status, had more complex aneurysms, and were more likely to require concomitant procedures. Our best performing prediction model for in-hospital MACE was XGBoost, achieving an AUROC of 0.93 (95% confidence interval, 0.92-0.94). Comparatively, logistic regression had an AUROC of 0.71 (95% confidence interval, 0.70-0.73). For secondary outcomes, XGBoost achieved AUROCs between 0.84 and 0.94. The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.05. These findings highlight the excellent predictive performance of the XGBoost model. The top three predictive features in our algorithm for in-hospital MACE following open AAA repair were: (1) coronary artery disease; (2) American Society of Anesthesiologists classification; and (3) proximal clamp site. Model performance remained robust on all subgroup analyses. CONCLUSIONS: Open AAA repair outcomes can be accurately predicted using preoperative data with our ML models, which perform better than logistic regression. Our automated algorithms can help guide risk-mitigation strategies for patients being considered for open AAA repair to improve outcomes.

Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair.

BACKGROUND: Endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) carries important perioperative risks; however, there are no widely used outcome prediction tools. The aim of this study was to apply machine learning (ML) to develop automated algorithms that predict 1-year mortality following EVAR. METHODS: The Vascular Quality Initiative database was used to identify patients who underwent elective EVAR for infrarenal AAA between 2003 and 2023. Input features included 47 preoperative demographic/clinical variables. The primary outcome was 1-year all-cause mortality. Data were split into training (70 per cent) and test (30 per cent) sets. Using 10-fold cross-validation, 6 ML models were trained using preoperative features with logistic regression as the baseline comparator. The primary model evaluation metric was area under the receiver operating characteristic curve (AUROC). Model robustness was evaluated with calibration plot and Brier score. RESULTS: Some 63 655 patients were included. One-year mortality occurred in 3122 (4.9 per cent) patients. The best performing prediction model for 1-year mortality was XGBoost, achieving an AUROC (95 per cent c.i.) of 0.96 (0.95-0.97). Comparatively, logistic regression had an AUROC (95 per cent c.i.) of 0.69 (0.68-0.71). The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.04. The top 3 predictive features in the algorithm were 1) unfit for open AAA repair, 2) functional status, and 3) preoperative dialysis. CONCLUSIONS: In this data set, machine learning was able to predict 1-year mortality following EVAR using preoperative data and outperformed standard logistic regression models.

Editor's Choice - Meta-Analysis of Compliance with Endovascular Aneurysm Repair Surveillance: The EVAR Surveillance Paradox.

OBJECTIVE: To compare the survival of patients who attended surveillance after endovascular aneurysm repair (EVAR) with those who were non-compliant. DATA SOURCES: MEDLINE and Embase were searched using the Ovid interface. REVIEW METHODS: A systematic review was conducted complying with the PRISMA guidelines. Eligible studies compared survival in EVAR surveillance compliant patients with non-compliant patients. Non-compliance was defined as failure to attend at least one post-EVAR follow up. The risk of bias was assessed with the Newcastle-Ottawa scale, and the certainty of evidence using the GRADE framework. Primary outcomes were survival and aneurysm related death. Effect measures were the hazard ratio (HR) or odds ratio (OR) and 95% confidence interval (CI) calculated using the inverse variance or Mantel-Haenszel statistical method and random effects models. RESULTS: Thirteen cohort studies with a total of 22 762 patients were included. Eight studies were deemed high risk of bias. The pooled proportion of patients who were non-compliant with EVAR surveillance was 43% (95% CI 36 - 51). No statistically significant difference was found in the hazard of all cause mortality (HR 1.04, 95% CI 0.61 - 1.77), aneurysm related mortality (HR 1.80, 95% CI 0.85-3.80), or secondary intervention (HR 0.66, 95% CI 0.31 - 1.41) between patients who had incomplete and complete follow up after EVAR. The odds of aneurysm rupture were lower in non-compliant patients (OR 0.63, 95% CI 0.39 - 1.01). The certainty of evidence was very low for all outcomes. Subgroup analysis for patients who had no surveillance vs. those with complete surveillance showed no significant difference in all cause mortality (HR 1.10, 95% CI 0.43 - 2.80). CONCLUSION: Patients who were non-compliant with EVAR surveillance had similar survival to those who were compliant. These findings question the value of intense surveillance in all patients post-EVAR and highlight the need for further research on individualised or risk adjusted surveillance.

General versus loco-regional anesthesia for endovascular aortic aneurysm repair.

BACKGROUND: Aortic aneurysms occur when the aorta, the body's largest artery, grows in size, and can occur in the thoracic or abdominal aorta. The approaches to repair aortic aneurysms include directly exposing the aorta and replacing the diseased segment via open repair, or endovascular repair. Endovascular repair uses fluoroscopic-guidance to access the aorta and deliver a device to exclude the aneurysmal aortic segment without requiring a large surgical incision. Endovascular repair can be performed under a general anesthetic, during which the unconscious patient is paralyzed and reliant on an anesthetic machine to maintain the airway and provide oxygen to the lungs, or a loco-regional anesethetic, for which medications are administered to provide the person with sufficient sedation and pain control without requiring a general anesthetic. While people undergoing general anesthesia are more likely to remain still during surgery and have a well-controlled airway in the event of unanticipated complications, loco-regional anesthesia is associated with fewer postoperative complications in some studies. It remains unclear which anesthetic technique is associated with better outcomes following the endovascular repair of aortic aneurysms. OBJECTIVES: To evaluate the benefits and harms of general anesthesia compared to loco-regional anesthesia for endovascular aortic aneurysm repair. SEARCH METHODS: We used standard, extensive Cochrane search methods. The latest search was 11 March 2022. SELECTION CRITERIA: We searched for all randomized controlled trials that assessed the effects of general anesthesia compared to loco-regional anesthesia for endovascular aortic aneurysm repairs. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were: all-cause mortality, length of hospital stay, length of intensive care unit stay. Our secondary outcomes were: incidence of endoleaks, requirement for re-intervention, incidence of myocardial infarction, quality of life, incidence of respiratory complications, incidence of pulmonary embolism, incidence of deep vein thrombosis, and length of procedure. We planned to use GRADE methodology to assess the certainty of evidence for each outcome. MAIN RESULTS: We found no studies, published or ongoing, that met our inclusion criteria. AUTHORS' CONCLUSIONS: We did not identify any randomized controlled trials that compared general versus loco-regional anesthesia for endovascular aortic aneurysm repair. There is currently insufficient high-quality evidence to determine the benefits or harms of either anesthetic approach during endovascular aortic aneurysm repair. Well-designed prospective randomized trials with relevant clinical outcomes are needed to adequately address this.

The Impact of Sex on Outcomes following Carotid Endarterectomy.

BACKGROUND: Previous studies have demonstrated significant sex differences in vascular surgery outcomes. We assessed stroke or death rates following carotid endarterectomy (CEA) in women versus men. METHODS: The Vascular Quality Initiative was used to identify all patients who underwent CEA between 2010 and 2019. Demographic, clinical, and procedural characteristics were recorded and differences between women and men were assessed using independent t-test and chi-squared test. The primary outcomes were 30-day and 1-year stroke or death. Associations between sex and outcomes were assessed using univariate/multivariate logistic regression and Cox proportional hazards analysis. RESULTS: Overall, 52,137 women and 79,974 men underwent CEA in Vascular Quality Initiative sites during the study period. Women were younger (70.3 vs. 70.5 years, P < 0.001) and more likely to have hypertension (89.2% vs. 88.9%, P < 0.05) and diabetes (36.2% vs. 35.8%, P < 0.001) but less likely to be diagnosed with coronary artery disease (23.2% vs. 31.0%, P < 0.001). A greater proportion of men were receiving cardiovascular risk reduction medications and had symptomatic carotid stenosis (28.5% vs. 26.7%, P < 0.001). Women had shorter procedure times (113 vs. 122 min, P < 0.001) and were less likely to receive electroencephalography neuromonitoring (27.9% vs. 28.8%, P < 0.001), drain (35.9% vs. 37.3%, P < 0.001), and protamine (67.4% vs. 68.0%, P < 0.01). Stroke or death at 30 days (1.9% vs. 1.8%, P = 0.60) and 1 year (hazard ratio [HR] 0.98, 95% confidence interval [CI] 0.94-1.01, P = 0.20) were similar between groups, which persisted in asymptomatic patients (HR 0.97, 95% CI 0.93-1.01, P = 0.17) and symptomatic patients (HR 0.99, 95% CI 0.93-1.05, P = 0.71). The similarities in 1-year stroke or death rates existed in both the United States (HR 0.96, 95% CI 0.92-1.01, P = 0.09) and Canada (HR 1.21, 95% CI 0.47-3.11, P = 0.70). CONCLUSIONS: Despite sex differences in clinical and procedural characteristics, women and men have similar 30-day and 1-year outcomes following CEA.

Incidence, Predictors, and Outcomes of Cardiac Perforation During Pediatric Cardiac Catheterization: a Retrospective Observational Study from the Congenital Cardiac Interventional Study Consortium (CCISC).

INTRODUCTION: Cardiac perforation is a rare life-threatening complication of cardiac catheterization. There is very little published literature detailing risk factors for cardiac perforation and outcomes from this complication in children. MATERIALS AND METHODS: This was a retrospective study analyzing the cardiac catheterization case registry of the Congenital Cardiovascular Interventional Study Consortium. Children aged < 18 years were included during the study period of 9 years (January 2009-December 2017). The primary outcome measures were incidence of cardiac perforation, risk factors for and outcomes of patients who experience cardiac perforation during cardiac catheterization. RESULTS: Cardiac perforation occurred in 50 patients from a total of 36,986 (0.14%). Cardiac perforation was more likely to occur in younger, smaller patients undergoing urgent/emergent and interventional procedures (p < 0.01). Cardiac peroration risk was significantly different across diagnostic and procedure categories (p < 0.01). Higher CRISP score (Area Under Curve [AUC] = 0.87), lower age, and procedure category (radiofrequency perforation of pulmonary valve, AUC = 0.84) were independent predictors of cardiac perforation. Cardiac perforation was associated with a significantly higher rate of mortality (14%), further emergency procedure (42%), ECMO (14%), and cardiac arrest (6%), p < 0.01. CONCLUSIONS: Cardiac perforation during cardiac catheterization is a life-threatening complication with a range of associated secondary complications. Higher CRISP score, lower age, and radiofrequency perforation of pulmonary valve are independent predictors.

What can we learn from kidney organoids?

The ability to generate 3-dimensional models of the developing human kidney via the directed differentiation of pluripotent stem cells-termed kidney organoids-has been hailed as a major advance in experimental nephrology. Although these provide an opportunity to interrogate human development, model-specific kidney diseases facilitate drug screening and even deliver bioengineered tissue; most of these prophetic end points remain to be realized. Indeed, at present we are still finding out what we can learn and what we cannot learn from this approach. In this review, we will summarize the approaches available to generate models of the human kidney from stem cells, the existing successful applications of kidney organoids, their limitations, and remaining challenges.

Management and In-hospital Mortality of 2203 Patients With a Traumatic Intimal Tear of the Thoracic Aorta.

OBJECTIVE: Our goal was to describe contemporary management and inhospital mortality associated with blunt thoracic aortic intimal tears (IT) within the American College of Surgeons Trauma Quality Improvement Program. SUMMARY BACKGROUND DATA: The evidence basis for nonoperative expectant management of traumatic iT of the thoracic aorta remains weak. METHODS: All adult patients with a thoracic aortic IT following blunt trauma were captured from Level I and II North American Centers enrolled in Trauma Quality Improvement Program from 2010 to 2017. For each patient, we extracted demographics, injury characteristics, the timing and approach of thoracic aortic repair and in-hospital mortality. Mortality attributable to IT was calculated by comparing IT patients to a propensity-score matched control cohort of severely injured blunt trauma patients without aortic injury. RESULTS: There were 2203 IT patients across 315 facilities. Injury most often resulted from motor vehicle collision (75%). A total of 758 patients (34%) underwent operative management, with 93% (N = 708) of repairs performed via an endovascular approach. Median time to surgery was 11 hours (IQR 4- 40). The frequency of operative management was higher in patients without traumatic brain injury (TBI) (35%, N = 674) compared to those with TBI (29%, N = 84) (P = 0.024). Compared to severely injured blunt trauma patients without aortic injury, ITwas not associated with additional in-hospital mortality (10.7% for IT vs 11.7% for no IT, absolute risk difference: -1.0%, 95% CI: -2.9% to 0.8%). CONCLUSIONS: The majority of blunt thoracic IT are managed nonoperatively and IT does not confer additional in-hospital mortality risk. Future studies should focus on the risk of injury progression.

Unsupervised Pharmaceutical Polymorph Identification and Multicomponent Particle Mapping of ToF-SIMS Data by Non-Negative Matrix Factorization.

Crystal polymorphism of pharmaceutical compounds directly impacts resulting physicochemical characteristics, a critical aspect in active pharmaceutical ingredient (API) production. Tools to characterize and chemically map these polymorphs at the single particle scale remain important to advancing directed manufacture of targeted polymorphs. Here, time-of-flight secondary ion mass spectrometry (ToF-SIMS) was employed for chemically imaging inkjet printed acetaminophen samples. ToF-SIMS generates large data sets of high spatial resolution images. Extracting relevant data and peaks of interest can be laborious for, and biased by, users. Advances in machine learning approaches have introduced many supervised and unsupervised methods for data analysis. In this study, we apply non-negative matrix factorization (NMF) for the unsupervised analysis of ToF-SIMS chemical image data. More specifically, an expanded variant of NMF, NMFk, was employed to determine the data set's latent dimensionality. NMFk combines the spectral unmixing of traditional NMF with k-means clustering of the resulting factors and an optimization of the reconstruction and clustering. The method was used to identify the number of polymorph phases-and their representative mass spectra-generated from inkjet printed acetaminophen samples. Amorphous, crystalline form I, and crystalline form II polymorphs were observed. The learned polymorph mass spectra were then used to map the learned polymorphs onto subsequent particle samples of acetaminophen. Finally, NMFk also enabled the decomposition of mixed particle samples (i.e., migraine medicine), learning the number of compounds and their composition. The extracted constituent phase mass spectra-representing single compounds-were searched against mass spectral libraries for identification.

Evaluation of variability in human kidney organoids.

The utility of human pluripotent stem cell-derived kidney organoids relies implicitly on the robustness and transferability of the protocol. Here we analyze the sources of transcriptional variation in a specific kidney organoid protocol. Although individual organoids within a differentiation batch showed strong transcriptional correlation, we noted significant variation between experimental batches, particularly in genes associated with temporal maturation. Single-cell profiling revealed shifts in nephron patterning and proportions of component cells. Distinct induced pluripotent stem cell clones showed congruent transcriptional programs, with interexperimental and interclonal variation also strongly associated with nephron patterning. Epithelial cells isolated from organoids aligned with total organoids at the same day of differentiation, again implicating relative maturation as a confounder. This understanding of experimental variation facilitated an optimized analysis of organoid-based disease modeling, thereby increasing the utility of kidney organoids for personalized medicine and functional genomics.