Clopidogrel-Mediated P2Y12 Inhibition According to Renal Function in Patients With Diabetes Mellitus and CAD.

This prospective ex vivo and in vitro pharmacodynamic (PD)/pharmacokinetic investigation was conducted in patients with diabetes mellitus with (n = 31) and without chronic kidney disease (n = 30). PD assessments included platelet reactivity index, maximum platelet aggregation, and P2Y12 reaction units. Ex vivo pharmacokinetic assessments included plasma levels of clopidogrel and its active metabolite. In vitro PD assessments were conducted on baseline samples incubated with escalating concentrations of clopidogrel and its active metabolite. Among patients with diabetes mellitus treated with clopidogrel, impaired renal function was associated with increased maximum platelet aggregation. This finding could be attributed partially to upregulation of the P2Y12 activity without differences in drug absorption or metabolism. (Impact of Chronic Kidney Disease on Clopidogrel Effects in Diabetes Mellitus; NCT03774394).

Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis.

BACKGROUND: Numerous applications and strategies have been utilized to help assess the trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate possible risk factors and causative agents. The aim of this work is to systematically summarize the available literature on the extent to which natural language processing, machine learning, and artificial intelligence (AI) can help improve the predictability of hospital readmissions after orthopaedic and spine surgeries. METHODS: This is a systematic review and meta-analysis. PubMed, Embase and Google Scholar were searched, up until August 30, 2023, for studies that explore the use of AI, natural language processing, and machine learning tools for the prediction of readmission rates after orthopedic procedures. Data regarding surgery type, patient population, readmission outcomes, advanced models utilized, comparison methods, predictor sets, the inclusion of perioperative predictors, validation method, size of training and testing sample, accuracy, and receiver operating characteristics (C-statistic), among other factors, were extracted and assessed. RESULTS: A total of 26 studies were included in our final dataset. The overall summary C-statistic showed a mean of 0.71 across all models, indicating a reasonable level of predictiveness. A total of 15 articles (57%) were attributed to the spine, making it the most commonly explored orthopaedic field in our study. When comparing accuracy of prediction models between different fields, models predicting readmissions after hip/knee arthroplasty procedures had a higher prediction accuracy (mean C-statistic = 0.79) than spine (mean C-statistic = 0.7) and shoulder (mean C-statistic = 0.67). In addition, models that used single institution data, and those that included intraoperative and/or postoperative outcomes, had a higher mean C-statistic than those utilizing other data sources, and that include only preoperative predictors. According to the Prediction model Risk of Bias Assessment Tool, the majority of the articles in our study had a high risk of bias. CONCLUSION: AI tools perform reasonably well in predicting readmissions after orthopaedic procedures. Future work should focus on standardizing study methodologies and designs, and improving the data analysis process, in an attempt to produce more reliable and tangible results. LEVEL OF EVIDENCE: Level III. See Instructions for Authors for a complete description of levels of evidence.

Proteome-scale prediction of molecular mechanisms underlying dominant genetic diseases.

Many dominant genetic disorders result from protein-altering mutations, acting primarily through dominant-negative (DN), gain-of-function (GOF), and loss-of-function (LOF) mechanisms. Deciphering the mechanisms by which dominant diseases exert their effects is often experimentally challenging and resource intensive, but is essential for developing appropriate therapeutic approaches. Diseases that arise via a LOF mechanism are more amenable to be treated by conventional gene therapy, whereas DN and GOF mechanisms may require gene editing or targeting by small molecules. Moreover, pathogenic missense mutations that act via DN and GOF mechanisms are more difficult to identify than those that act via LOF using nearly all currently available variant effect predictors. Here, we introduce a tripartite statistical model made up of support vector machine binary classifiers trained to predict whether human protein coding genes are likely to be associated with DN, GOF, or LOF molecular disease mechanisms. We test the utility of the predictions by examining biologically and clinically meaningful properties known to be associated with the mechanisms. Our results strongly support that the models are able to generalise on unseen data and offer insight into the functional attributes of proteins associated with different mechanisms. We hope that our predictions will serve as a springboard for researchers studying novel variants and those of uncertain clinical significance, guiding variant interpretation strategies and experimental characterisation. Predictions for the human UniProt reference proteome are available at https://osf.io/z4dcp/.

Spatial transcriptomic validation of a biomimetic model of fibrosis enables re-evaluation of a therapeutic antibody targeting LOXL2.

Matrix stiffening by lysyl oxidase-like 2 (LOXL2)-mediated collagen cross-linking is proposed as a core feedforward mechanism that promotes fibrogenesis. Failure in clinical trials of simtuzumab (the humanized version of AB0023, a monoclonal antibody against human LOXL2) suggested that targeting LOXL2 may not have disease relevance; however, target engagement was not directly evaluated. We compare the spatial transcriptome of active human lung fibrogenesis sites with different human cell culture models to identify a disease-relevant model. Within the selected model, we then evaluate AB0023, identifying that it does not inhibit collagen cross-linking or reduce tissue stiffness, nor does it inhibit LOXL2 catalytic activity. In contrast, it does potently inhibit angiogenesis consistent with an alternative, non-enzymatic mechanism of action. Thus, AB0023 is anti-angiogenic but does not inhibit LOXL2 catalytic activity, collagen cross-linking, or tissue stiffening. These findings have implications for the interpretation of the lack of efficacy of simtuzumab in clinical trials of fibrotic diseases.

Cardiac Myxomas in Carney Complex: Single Institution Multi Decade Experience.

BACKGROUND: We present our surgical experience with cardiac myxomas in the setting of Carney Complex (CNC). METHODS: We searched our institutional data explorers to identify patients diagnosed with CNC. We gathered clinical, surgical, and recurrence data from electronic medical records. In total, 38 patients with Carney Complex were documented from 1970 through 2023. RESULTS: There were 24 (63.1%) patients who developed cardiac myxomas in the setting of Carney Complex. The median age of onset for cardiac myxoma occurrence was 39.0 years (interquartile range[IQR], 25.0-56.0). The majority were females (62.5%), and all underwent surgery. A total of 42 (52.7%) myxomas were extracted from the left atrium, 12 (15.0%) from the right ventricle, 11 (13.7%) from the right atrium, and 6 (7.5%) from the left ventricle. Among the 24 myxoma patients, 54.1%(n=13) experienced at least one myxoma recurrence. The median time for the first myxoma recurrence was 7.5 years (IQR,3.8-10.0). There were 27 (52.9%) recurrences from the same chamber, 11 (29.4%) from different chambers, and 9 (17.6%) had undocumented localizations. The freedom from tumor recurrence was 100% (95%CI;100.0-100.0), 66.7% (95%CI; 44.7%-99.5%) and 16.7% (95%CI; 4.7%-59.1%) at 1, 5 and 10 years respectively. The long-term survival was 100.0% at 10 and 15 years. CONCLUSIONS: Nearly two-thirds of CNC patients in this study (63.1%) developed cardiac myxomas, and more than half (54.1%) experienced recurring instances. Consistent monitoring through echocardiograms is essential for detecting asymptomatic first-time occurrences or recurrences. Surgical removal remains the key treatment method for managing cardiac myxomas associated with CNC.

Turn off that night light! Light-at-night as a stressor for adolescents.

Light-at-night is known to produce a wide variety of behavioral outcomes including promoting anxiety, depression, hyperactivity, abnormal sociability, and learning and memory deficits. Unfortunately, we all live in a 24-h society where people are exposed to light-at-night or light pollution through night-shift work - the need for all-hours emergency services - as well as building and street-lights, making light-at-night exposure practically unavoidable. Additionally, the increase in screentime (tvs and smart devices) during the night also contributes to poorer sleep and behavioral impairments. Compounding these factors is the fact that adolescents tend to be "night owls" and prefer an evening chronotype compared to younger children and adults, so these teenagers will have a higher likelihood of being exposed to light-at-night. Making matters worse is the prevalence of high-school start times of 8 am or earlier - a combination of too early school start times, light exposure during the night, and preference for evening chronotypes is a recipe for reduced and poorer sleep, which can contribute to increased susceptibility for behavioral issues for this population. As such, this mini-review will show, using both human and rodent model studies, how light-at-night affects behavioral outcomes and stress responses, connecting photic signaling and the circadian timing system to the hypothalamic-pituitary adrenal axis. Additionally, this review will also demonstrate that adolescents are more likely to exhibit abnormal behavior in response to light-at-night due to changes in development and hormone regulation during this time period, as well as discuss potential interventions that can help mitigate these negative effects.

Behavioral and Health Outcome Differences by Heroin or Methamphetamine Preference Among People in Rural US Communities Who Use Both Substances.

Background: The United States' (US) opioid overdose epidemic has evolved into a combined stimulant/opioid epidemic, a pattern driven in part by mitigating opioid overdose risk, variable substance availability, and personal preferences. This study aimed to investigate the association between self-reported substance preference (heroin or methamphetamine) and behavioral/health outcomes among individuals who used both heroin and methamphetamine in the rural US. Methods: The Rural Opioid Initiative is a consortium of 8 research cohorts from 10 states and 65 rural counties that recruited individuals reporting past 30-day injection of any substance or opioid substance use by any route from 1/2018 to 3/2020. Analyses were restricted to participants ⩾18 years, who self-reported either heroin or methamphetamine as their preferred substance and past 30-day use of both heroin and methamphetamine. We examined cross-sectional associations between preferred substance (heroin versus methamphetamine) and behavioral and health outcomes using random effects meta-analysis with adjusted regression models. Results: Among 1239 participants, 61% (n = 752) reported heroin as their preferred substance. Adjusting for age, sex, and race/ethnicity, methamphetamine preference was associated with lower prevalence ratios for current naloxone possession (adjusted prevalence ratio [aPR] = 0.68; 95% Confidence Interval [95% CI] = 0.59-0.78; P-value ⩽ .001), of ever being told they had the hepatitis C virus (HCV; aPR = 0.72; 95% CI: 0.61-0.85; P-value ⩽ .001) and a personal history of overdose (aPR = 0.81; 95% CI = 0.73-0.90; P-value ⩽ .001). Conclusion: In our study analyzing associations between preferred substance and various behavioral and health outcomes amongst people who use both heroin and methamphetamine, a majority of participants preferred heroin. Methamphetamine preference was associated with lower prevalence of naloxone possession, ever being told they had HCV, and prior history of an overdose. This study underscores the need for targeted harm reduction services for people who prefer methamphetamine in rural areas.

Canagliflozin Mitigates Acute Kidney Injury Secondary to Resuscitative Endovascular Balloon Occlusion of the Aorta in a Porcine Model of Hemorrhagic Shock.

OBJECTIVE: We investigated the potential of acute canagliflozin administration to mitigate acute kidney injury (AKI) and attenuate deleterious pro-inflammatory cytokine release in a clinically relevant swine model of severe renal ischemia reperfusion injury (IRI) induced by hemorrhage and aortic occlusion. BACKGROUND: Long-term canagliflozin use attenuates renal function decline and reduces AKI in diabetes mellitus and heart failure patients. Whilst several reports indicate prophylactic SGLT2 inhibition prevents AKI in IRI, the efficacy of acute administration on IRI and inflammation is not known. METHODS: Female swine (n=16) underwent controlled hemorrhage of 25% blood volume, followed by 90 min of aortic occlusion at the level of the renal ostia (via Resuscitative Endovascular Balloon Occlusion of the Aorta). A single 300 mg dose of oral canagliflozin or vehicle (saline) was delivered 5 mins into aortic occlusion. Hemodynamic monitoring, markers of renal function (serum creatinine, blood urea nitrogen, proteinuria and urinary neutrophil gelatinase-associated lipocalin) and serum cytokine concentrations (including interleukins: IL-1RA, IL-6, IL-8, IL-10, IL-18; and Tumor necrosis factor alpha) were analyzed after IRI, and during a 6h critical care phase. RESULTS: Compared to controls, animals receiving canagliflozin had less severe AKI, improved creatinine clearance, reduced proteinuria, and significantly lower tubular damage as evidenced by histopathology and urinary NGAL. Furthermore, the pro-inflammatory cytokine IL-6 was markedly attenuated without reduction in anti-inflammatory cytokines (IL-1RA and IL-10). CONCLUSIONS: A single dose of canagliflozin administered shortly into ischemic insult mitigates AKI and attenuates harmful pro-inflammatory cytokine release following trauma or surgery. These findings suggest a potential novel therapeutic role for canagliflozin in mitigating the effects of renal IRI worthy of further investigation.

Associations of circulating T-cell subsets in carotid artery stiffness: the Multi-Ethnic Study of Atherosclerosis.

Background: Arterial stiffness measured by total pulse wave velocity (T-PWV) is associated with increased risk of multiple age-related diseases. T-PWV can be described by structural (S-PWV) and load-dependent (LD-PWV) arterial stiffening. T-cells have been associated with arterial remodeling, blood pressure, and arterial stiffness in humans and animals; however, it is unknown whether T-cells are related to S-PWV or LD-PWV. Therefore, we evaluated the cross-sectional associations of peripheral T-cell subpopulations with T-PWV, S-PWV, and LD-PWV stiffness. Methods: Peripheral blood T-cells were characterized using flow cytometry and the carotid artery was measured using B-mode ultrasound to calculate T-PWV at the baseline examination in a subset of the Multi-Ethnic Study of Atherosclerosis (MESA, n=1,984). A participant-specific exponential model was used to calculate S-PWV and LD-PWV based on elastic modulus and blood pressure gradients. The associations between five primary (p-significance<0.01) and twenty-five exploratory (p-significance<0.05) immune cell subpopulations, per 1-SD increment, and arterial stiffness measures were assessed using adjusted, linear regressions. Results: For the primary analysis, higher CD4+CD28-CD57+ T-cells were associated with higher LD-PWV (ß=0.04 m/s, p<0.01) after adjusting for co-variates. For the exploratory analysis, T-cell subpopulations that commonly shift with aging towards memory and differentiated/immunosenescent phenotypes were associated with greater T-PWV, S-PWV, and LD-PWV after adjusting for co-variates. Conclusions: In this cross-sectional study, several T-cell subpopulations commonly associated with aging were related with measures of arterial stiffness. Longitudinal studies that examine changes in T-cell subpopulations and measures of arterial stiffness are warranted.

Untwining the intertwined: a comprehensive review on differentiating pathologies of the shoulder and spine.

Background: The anatomic interplay and overlap between the cervical spine and the shoulder constitutes a challenge for shoulder and spine surgeons, as symptoms of spine and shoulder pathologies are often similar and may lead to entity misdiagnosis. Methods: PubMed, Cochrane, and Google Scholar (page 1-20) searches were updated to October 2023 in search of the qualified papers. Boolean Operators were used with a combination of the keywords "spine" OR "neck" And "Shoulder". Furthermore, reference lists from papers were also searched to find literature. Results: It is of pivotal importance to conduct comprehensive preoperative clinical investigation to appropriately evaluate and assess the source of the pathology and the leading causes behind it. Certain markers can help guide surgeons towards etiologies, and these include areas of pain and physical exam findings with the arm squeeze test having the highest sensitivity and specificity for diagnosing cervical radiculopathy. As for the shoulder, despite its low sensitivity, the Yergason test had the highest specificity for diagnosing subacromial impingement. Local anesthetic injection can help as well in the diagnostic approach. Moreover, the interplay between these anatomic locations is not solely related to preoperative diagnosis. Studies have shown that previous surgery for cervical spine pathology may negatively affect the outcomes of shoulder procedures like arthroplasties. Conclusion: Shoulder and spine surgeons should be wary and vigilant of accurately diagnosing the etiology of the presenting symptoms to ensure proper management and optimize prognosis.

Analysis of 132 Submandibular Salivary Glands Using the Randox Evidence Investigator and Randox DOA ULTRA WB Array.

Occasionally, obtaining an adequate or acceptable postmortem blood specimen for drug analysis is not possible due to factors such as decomposition, exsanguination, or embalming. Submandibular salivary gland tissue, one of three major types of salivary gland tissue in the oral cavity of humans, has been reported to be a viable alternative postmortem specimen for toxicological testing. In this study, we evaluated the performance of the Randox Evidence Investigator instrument and Randox DOA (Drugs of Abuse) Ultra Whole Blood Array for the semi-quantitative determination of 21 immunoassays in an alternative matrix, submandibular salivary gland tissue. We analyzed 132 submandibular salivary gland tissue specimens and compared the generated results to concomitantly collected postmortem whole blood specimen results. Oxycodone 2, meprobamate, barbiturate, benzodiazepine assay 1, zolpidem, and buprenorphine all showed perfect agreement (Cohen's Kappa Score = 1.00) between the submandibular salivary gland tissue results and the postmortem whole blood results; dextromethorphan, fentanyl, benzoylecgonine, methamphetamine, tricyclic antidepressants, oxycodone 1, and opiate showed an almost perfect agreement (Cohen's Kappa Score = 0.81-0.99); methadone, generic opioids, and amphetamine exhibited substantial agreement (Cohen's Kappa Score = 0.61-0.80). Tramadol demonstrated fair agreement (Cohen's Kappa Score = 0.41-0.60). The lowest measure of agreement was observed with cannabinoids, meeting criteria for slight agreement (Cohen's Kappa Score = 0.01-0.20). An application of the techniques described in this study could be implemented in postmortem toxicology laboratories as well as medical examiners offices to provide preliminary drugs of abuse test results that can be used to direct additional testing. This study highlights the successful integration of a novel specimen matrix and an "off-label" use of an established analytical technique.

Trimethylamine N-Oxide and Related Gut Microbe-Derived Metabolites and Incident Heart Failure Development in Community-Based Populations.

BACKGROUND: Growing evidence indicates that trimethylamine N-oxide, a gut microbial metabolite of dietary choline and carnitine, promotes both cardiovascular disease and chronic kidney disease risk. It remains unclear how circulating concentrations of trimethylamine N-oxide and its related dietary and gut microbe-derived metabolites (choline, betaine, carnitine, γ-butyrobetaine, and crotonobetaine) affect incident heart failure (HF). METHODS: We evaluated 11 768 participants from the Cardiovascular Health Study and the Multi-Ethnic Study of Atherosclerosis with serial measures of metabolites. Cox proportional hazard models were used to examine the associations between metabolites and incident HF, adjusted for cardiovascular disease risk factors. RESULTS: In all, 2102 cases of HF occurred over a median follow-up of 15.9 years. After adjusting for traditional risk factors, higher concentrations of trimethylamine N-oxide (hazard ratio, 1.15 [95% CI, 1.09-1.20]; P<0.001), choline (hazard ratio, 1.44 [95% CI, 1.26-1.64]; P<0.001), and crotonobetaine (hazard ratio, 1.24 [95% CI, 1.16-1.32]; P<0.001) were associated with increased risk for incident HF. After further adjustment for renal function (potential confounder or mediator), these associations did not reach Bonferroni-corrected statistical significance (P=0.01, 0.049, and 0.006, respectively). Betaine and carnitine were nominally associated with a higher incidence of HF (P<0.05). In exploratory analyses, results were similar for subtypes of HF based on left ventricular ejection fraction, and associations appeared generally stronger among Black and Hispanic/Latino versus White adults, although there were no interactions for any metabolites with race. CONCLUSIONS: In this pooled analysis of 2 well-phenotyped, diverse, community-based cohorts, circulating concentrations of gut microbe-derived metabolites such as trimethylamine N-oxide, choline, and crotonobetaine were independently associated with a higher risk of developing HF. REGISTRATION: URL: https://www.clinicaltrials.gov/; Unique identifiers: NCT00005133 and NCT00005487.

Timing of diffusion tensor imaging in the management of a ruptured pediatric arteriovenous malformation: illustrative case.

BACKGROUND: Diffusion tensor imaging (DTI) can characterize eloquent white matter tracts affected by brain arteriovenous malformations (AVMs). However, DTI interpretation can be difficult in ruptured cases due to the presence of blood products. The authors present the case of a ruptured pediatric AVM in the corticospinal tract (CST) and discuss how DTI at different time points informed the treatment. OBSERVATIONS: A 9-year-old female presented with a sudden headache and left hemiparesis. She was found to have a Spetzler-Martin grade III, Supplementary grade I AVM in the right caudate and centrum semiovale, with obliteration and corresponding reduced fractional anisotropy (FA), fiber density (FD), and tract count (TC) of the adjacent CST on DTI. The patient remained stable and was scheduled for elective resection following a 6-week period to facilitate hematoma resorption. After 6 weeks, repeat DTI showed part of the nidus within intact CST fibers with concordant improvement in FA, FD, and TC. Considering the nidus location, CST integrity, and motor function recovery, surgery was deferred in favor of stereotactic radiosurgery. LESSONS: In ruptured AVMs, DTI may initially create an incomplete picture and false assumptions about white matter tract integrity. DTI should be repeated if delayed treatment is appropriate to ensure informed decision-making and prevent avoidable permanent neurological deficits. https://thejns.org/doi/10.3171/CASE24225.

Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study.

The objective of this study was to evaluate clinical outcomes for patients undergoing IVF treatment where an artificial intelligence (AI) platform was utilized by clinicians to help determine the optimal starting dose of FSH and timing of trigger injection. This was a prospective clinical trial with historical control arm. Four physicians from two assisted reproductive technology treatment centers in the United States participated in the study. The treatment arm included patients undergoing autologous IVF cycles between December 2022-April 2023 where the physician use AI to help select starting dose of follicle stimulating hormone (FSH) and trigger injection timing (N = 291). The control arm included historical patients treated where the same doctor did not use AI between September 2021 and September 2022. The main outcome measures were total FSH used and average number of mature metaphase II (MII) oocytes. There was a non-significant trend towards improved patient outcomes and a reduction in FSH with physician use of AI. Overall, the average number of MIIs in the treatment vs. control arm was 12.20 vs 11.24 (improvement = 0.96, p = 0.16). The average number of oocytes retrieved in the treatment vs. control arm was 16.01 vs 14.54 (improvement = 1.47, p = 0.08). The average total FSH in the treatment arm was 3671.95 IUs and the average in the control arm was 3846.29 IUs (difference = -174.35 IUs, p = 0.13). These results suggests that AI can safely assist in refining the starting dose of FSH while narrowing down the timing of the trigger injection during ovarian stimulation, benefiting the patient in optimizing the count of MII oocytes retrieved.

Cytokine Storm and Sepsis-Induced Multiple Organ Dysfunction Syndrome.

There is extensive overlap of clinical features among familial or primary HLH (pHLH), reactive or secondary hemophagocytic lymphohistiocytosis (sHLH) [including macrophage activation syndrome (MAS) related to rheumatic diseases], and hyperferritinemic sepsis-induced multiple organ dysfunction syndrome (MODS); however, the distinctive pathobiology that causes hyperinflammatory process in each condition requires careful considerations for therapeutic decision-making. pHLH is defined by five or more of eight HLH-2004 criteria [1], where genetic impairment of natural killer (NK) cells or CD8+ cytolytic T cells results in interferon gamma (IFN-γ)-induced hyperinflammation regardless of triggering factors. Cytolytic treatments (e.g., etoposide) or anti-IFN-γ monoclonal antibody (emapalumab) has been effectively used to bridge the affected patients to hematopoietic stem cell transplant. Secondary forms of HLH also have normal NK cell number with decreased cytolytic function of varying degrees depending on the underlying and triggering factors. Although etoposide was uniformly used in sHLH/MAS in the past, the treatment strategy in different types of sHLH/MAS is increasingly streamlined to reflect the triggering/predisposing conditions, severity/progression, and comorbidities. Accordingly, in hyperferritinemic sepsis, the combination of hepatobiliary dysfunction (HBD) and disseminated intravascular coagulation (DIC) reflects reticuloendothelial system dysfunction and defines sepsis-associated MAS. It is demonstrated that as the innate immune response to infectious organism prolongs, it results in reduction in T cells and NK cells with subsequent lymphopenia even though normal cytolytic activity continues (Figs. 30.1, 30.2, 30.3, and 30.4). These changes allow free hemoglobin and pathogens to stimulate inflammasome activation in the absence of interferon-γ (IFN-γ) production that often responds to source control, intravenous immunoglobulin (IVIg), plasma exchange, and interleukin 1 receptor antagonist (IL-1Ra), similar to non-EBV, infection-induced HLH.

Risk factors for prolonged infection and secondary infection in pediatric severe sepsis.

PURPOSE: Sepsis causes significant worldwide morbidity and mortality. Inability to clear an infection and secondary infections are known complications in severe sepsis and likely result in worsened outcomes. We sought to characterize risk factors of these complications. METHODS: We performed a secondary analysis of clinical data from 401 subjects enrolled in the PHENOtyping sepsis-induced Multiple organ failure Study. We examined factors associated with prolonged infection, defined as infection that continued to be identified 7 days or more from initial identification, and secondary infection, defined as new infections identified ≥ 3 days from presentation. Multivariable adjustment was performed to examine laboratory markers of immune depression, with immunocompromised and immunocompetent subjects analyzed separately. RESULTS: Illness severity, immunocompromised status, invasive procedures, and site of infection were associated with secondary infection and/or prolonged infection. Persistent lymphopenia, defined as an absolute lymphocyte count (ALC) < 1000 cells/µL twice in the first five days, and persistent neutropenia, defined as absolute neutrophil count (ANC) < 1000 cells/µL twice in the first five days, were associated with secondary and prolonged infections. When adjusted in multivariable analysis, persistent lymphopenia remained associated with secondary infection in both immunocompromised (aOR = 14.19, 95% CI [2.69, 262.22] and immunocompetent subjects (aOR = 2.09, 95% CI [1.03, 4.17]). Persistent neutropenia was independently associated with secondary infection in immunocompromised subjects (aOR = 5.34, 95% CI [1.92, 15.84]). Secondary and prolonged infections were associated with worse outcomes, including death. CONCLUSIONS: Laboratory markers of immune suppression can be used to predict secondary infection. Lymphopenia is an independent risk factor in immunocompromised and immunocompetent patients for secondary infection.

Unravelling the complexities of biotic homogenization and heterogenization in the British avifauna.

Biotic homogenization is a process whereby species assemblages become more similar through time. The standard way of identifying the process of biotic homogenization is to look for decreases in spatial beta-diversity. However, using a single assemblage-level metric to assess homogenization can mask important changes in the occupancy patterns of individual species. Here, we analysed changes in the spatial beta-diversity patterns (i.e. biotic heterogenization or homogenization) of British bird assemblages within 30 km × 30 km regions between two periods (1988-1991 and 2008-2011). We partitioned the change in spatial beta-diversity into extirpation and colonization-resultant change (i.e. change in spatial beta-diversity within each region resulting from both extirpation and colonization). We used measures of abiotic change in combination with Bayesian modelling to disentangle the drivers of biotic heterogenization and homogenization. We detected both heterogenization and homogenization across the two time periods and three measures of diversity (taxonomic, phylogenetic, and functional). In addition, both extirpation and colonization contributed to the observed changes, with heterogenization mainly driven by extirpation and homogenization by colonization. These assemblage-level changes were primarily due to shifting occupancy patterns of generalist species. Compared to habitat generalists, habitat specialists had significantly (i) higher average contributions to colonization-resultant change (indicating heterogenization within a region due to colonization) and (ii) lower average contributions to extirpation-resultant change (indicating homogenization from extirpation). Generalists showed the opposite pattern. Increased extirpation-resultant homogenization within regions was associated with increased urban land cover and decreased habitat diversity, precipitation, and temperature. Changes in extirpation-resultant heterogenization and colonization-resultant heterogenization were associated with differences in elevation between regions and changes in temperature and land cover. Many of the 'winners' (i.e. species that increased in occupancy) were species that had benefitted from conservation action (e.g. buzzard (Buteo buteo)). The 'losers' (i.e. those that decreased in occupancy) consisted primarily of previously common species, such as cuckoo (Cuculus canorus). Our results show that focusing purely on changes in spatial beta-diversity over time may obscure important information about how changes in the occupancy patterns of individual species contribute to homogenization and heterogenization.

Roll-to-roll manufacturing of large surface area PDMS devices, and application to a microfluidic artificial lung.

The ability to cost-effectively produce large surface area microfluidic devices would bring many small-scale technologies such as microfluidic artificial lungs (µALs) from the realm of research to clinical and commercial applications. However, efforts to scale up these devices, such as by stacking multiple flat µALs have been labor intensive and resulted in bulky devices. Here, we report an automated manufacturing system, and a series of cylindrical multi-layer lungs manufactured with the system and tested for fluidic fidelity and function. A roll-to-roll (R2R) system to engrave multiple-layer devices was assembled. Unlike typical applications of R2R, the rolling process is synchronized to achieve consistent radial positioning. This allows the fluidics in the final device to be accessed without being unwrapped. To demonstrate the capabilities of the R2R manufacturing system, this method was used to manufacture multi-layer µALs. Gas and blood are engraved in alternating layers and routed orthogonally to each other. The proximity of gas and blood separated by gas permeable PDMS permits CO2 and O2 exchange via diffusion. After manufacturing, they were evaluated using water for pressure drop and CO2 gas exchange. The best performing device was tested with fresh whole bovine blood for O2 exchange. Three µALs were successfully manufactured and passed leak testing. The top performing device had 15 alternating blood and gas layers. It oxygenated blood from 70% saturation to 95% saturation at a blood flow of 3 mL min-1 and blood side pressure drop of 234 mmHg. This new roll-to-roll manufacturing system is suitable for the automated construction of multi-layer microfluidic devices that are difficult to manufacture by conventional means. With some upgrades and improvements, this technology should allow for the automatic creation of large surface area microfluidic devices that can be employed for various applications including large-scale membrane gas exchange such as clinical-scale microfluidic artificial lungs.

Student mental health outcomes of a clustered SMART for developing an adaptive implementation strategy to support school-based CBT delivery.

PURPOSE: Most youth experiencing anxiety/depression lack access to evidence-based mental health practices (EBPs). School-delivered care improves access, and various support can help school professionals (SPs; school social workers, counselors) deliver EBPs, like Cognitive Behavioral Therapy (CBT). Understanding implementation strategies' impact on downstream mental health outcomes is crucial to scaling up EBPs to address the treatment gap, but it has rarely been assessed. METHODS: This paper compares implementation strategies' impact on change in student outcomes, collected as exploratory outcomes from a type III hybrid implementation-effectiveness trial. A clustered, sequential, multiple-assignment randomized trial design was used, which embedded four implementation supports that differentially sequence three implementation strategies, Replicating Effective Programs (REP), Coaching, and Facilitation. Prior to the first randomization, N = 169 SPs from 94 Michigan high schools each identified up to 10 students whom they believed could benefit from CBT and facilitated student survey completion. Changes in students' depression (Patient Health Questionnaire-9, modified for teens) and anxiety symptoms (Generalized Anxiety Disorder-7) over 10 months were compared across the four sequences of implementation support using a generalization of a marginal, weighted least squares approach developed for a clustered SMARTs. RESULTS: Small, non-clinically significant reductions in symptoms over the study period were found. Pairwise comparisons found no significant differences in symptom change across the four implementation strategies. The difference in the estimated mean PHQ-9 T/GAD-7 scores between the least and the most intensive strategies (REP vs. REP+Coaching+Facilitation) was 1.04 (95%CI = -0.95, 3.04) for depression and 0.82 (95%CI = -0.89, 2.52) for anxiety. DISCUSSION: No difference in symptom change was found across the four implementation strategies. Multiple forms of implementation support may be useful for improving student mental health outcomes. TRIAL REGISTRATION: NCT03541317-Registered on 29 May 2018 on ClinicalTrials.gov PRS.

Development and Validation of a Novel Pediatric Mechanical Circulatory Support Risk Stratification Tool: The Advanced Cardiac Therapies Improving Outcomes Network (ACTION) Ventricular Assist Device Score.

We sought to develop and validate a new risk stratification score for mortality for children supported with a ventricular assist device (VAD). This retrospective, multicenter study used data from patients undergoing VAD implantation between April 2018 and February 2023 at 44 participating institutions in the Advanced Cardiac Therapies Improving Outcomes (ACTION) network. Multivariable Cox proportional-hazards modeled mortality after VAD implantation. A total of 1,022 patients were enrolled. The 1 year mortality was 19% (95% confidence interval [CI]: 16-23). The multivariable model was used to build the ACTION VADs risk stratification score with four components: ventilation, advanced organ support (dialysis or ECMO), diagnosis, and size (weight ≤5 kg). One point is added for each risk factor. Based on the sum of the risk factors, patients were classified into four classes: class 0-green (4% mortality at 1 year), class 1-yellow (16% mortality at 1 year), class 2-orange (21% mortality at 1 year), and class 3 or higher-red (42% mortality at 1 year). The score performed well, with area under the curve (AUC) of 0.72 and excellent calibration. The ACTION VADs score for mortality can be calculated easily and offers risk stratification and prognostic information for pediatric VAD candidates. This is the first validated risk assessment tool for pediatric mechanical circulatory support.