Energy metabolism modulates the regulatory impact of activators on gene expression.

Gene expression is a regulated process fueled by ATP consumption. Therefore, regulation must be coupled to constraints imposed by the level of energy metabolism. Here, we explore this relationship both theoretically and experimentally. A stylized mathematical model predicts that activators of gene expression have variable impact depending on metabolic rate. Activators become less essential when metabolic rate is reduced and more essential when metabolic rate is enhanced. We find that, in the Drosophila eye, expression dynamics of the yan gene are less affected by loss of EGFR-mediated activation when metabolism is reduced, and the opposite effect is seen when metabolism is enhanced. The effects are also seen at the level of pattern regularity in the adult eye, where loss of EGFR-mediated activation is mitigated by lower metabolism. We propose that gene activation is tuned by energy metabolism to allow for faithful expression dynamics in the face of variable metabolic conditions.

Severe mental illness: cardiovascular risk assessment and management.

Patients with severe mental illness (SMI) including schizophrenia and bipolar disorder die on average 15-20 years earlier than the general population often due to sudden death that, in most cases, is caused by cardiovascular disease. This state-of-the-art review aims to address the complex association between SMI and cardiovascular risk, explore disparities in cardiovascular care pathways, describe how to adequately predict cardiovascular outcomes, and propose targeted interventions to improve cardiovascular health in patients with SMI. These patients have an adverse cardiovascular risk factor profile due to an interplay between biological factors such as chronic inflammation, patient factors such as excessive smoking, and healthcare system factors such as stigma and discrimination. Several disparities in cardiovascular care pathways have been demonstrated in patients with SMI, resulting in a 47% lower likelihood of undergoing invasive coronary procedures and substantially lower rates of prescribed standard secondary prevention medications compared with the general population. Although early cardiovascular risk prediction is important, conventional risk prediction models do not accurately predict long-term cardiovascular outcomes as cardiovascular disease and mortality are only partly driven by traditional risk factors in this patient group. As such, SMI-specific risk prediction models and clinical tools such as the electrocardiogram and echocardiogram are necessary when assessing and managing cardiovascular risk associated with SMI. In conclusion, there is a necessity for differentiated cardiovascular care in patients with SMI. By addressing factors involved in the excess cardiovascular risk, reconsidering risk stratification approaches, and implementing multidisciplinary care models, clinicians can take steps towards improving cardiovascular health and long-term outcomes in patients with SMI.

The Effect of a Neuronal Nitric Oxide Synthase Inhibitor on Neurovascular Regulation in Humans.

BACKGROUND: Neurovascular coupling (NVC) is a key process in cerebral blood flow regulation. NVC ensures adequate brain perfusion to changes in local metabolic demands. Neuronal nitric oxide synthase (nNOS) is suspected to be involved in NVC; however, this has not been tested in humans. Our objective was to investigate the effects of nNOS inhibition on NVC in humans. METHODS: We performed a 3-visit partially randomized, double-blinded, placebo-controlled, crossover study in 12 healthy subjects. On each visit, subjects received an intravenous infusion of either S-methyl-L-thiocitrulline (a selective nNOS-inhibitor), 0.9% saline (placebo control), or phenylephrine (pressor control). The NVC assessment involved eliciting posterior circulation hyperemia through visual stimulation while measuring posterior and middle cerebral arteries blood velocity. RESULTS: nNOS inhibition blunted the rapidity of the NVC response versus pressor control, evidenced by a reduced initial rise in mean posterior cerebral artery velocity (-3.3% [-6.5, -0.01], P=0.049), and a reduced rate of increase (ie, acceleration) in posterior cerebral artery velocity (slope reduced -4.3% [-8.5, -0.1], P=0.045). The overall magnitude of posterior cerebral artery response relative to placebo control or pressor control was not affected. Changes in BP parameters were well-matched between the S-methyl-L-thiocitrulline and pressor control arms. CONCLUSIONS: Neuronal NOS plays a role in dynamic cerebral blood flow control in healthy adults, particularly the rapidity of the NVC response to visual stimulation. This work opens the way to further investigation of the role of nNOS in conditions of impaired NVC, potentially revealing a therapeutic target.

Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data.

BACKGROUND: Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data. METHODS: 2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups. RESULTS: Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF. CONCLUSIONS: Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles.

One and Done? The Effectiveness of a Single Session of Physiotherapy Compared With Multiple Sessions to Reduce Pain and Improve Function and Quality of Life in Patients With a Musculoskeletal Disorder: A Systematic Review With Meta-analyses.

OBJECTIVE: To compare single and multiple physiotherapy sessions to improve pain, function, and quality of life (QoL) in patients with musculoskeletal disorders (MSKDs). DATA SOURCES: AMED, Cinahl, SportsDiscus, Medline, Cochrane Register of Clinical Trials, Physiotherapy Evidence Database, and reference lists. STUDY SELECTION: Randomized controlled trials (RCTs) comparing single and multiple physiotherapy sessions for MSKDs. DATA EXTRACTION: Two reviewers extracted data and assessed risk of bias and certainty of evidence using Cochrane Risk of Bias tool 2.0 and Grading of Recommendation Assessment, Development, and Evaluation. DATA SYNTHESIS: Six RCTs (n=2090) were included (conditions studied: osteoporotic vertebral fracture, neck, knee, and shoulder pain). Meta-analyses with low-certainty evidence showed a significant pain improvement at 6 months in favor of multiple sessions compared with single session interventions (3 RCTs; n=1035; standardized mean difference [SMD]: 0.29; 95% CI: 0.05 to 0.53; P=.02) but this significant difference in pain improvement was not observed at 3 months (4 RCTs; n=1312; SMD: 0.39; 95% CI: -0.11 to 0.89; P=.13) and at 12 months (4 RCTs; n=1266; SMD: -0.05; 95% CI: -0.49 to 0.39; P=.82). Meta-analyses with low-certainty evidence showed no significant differences in function at 3 (4 RCTs; n=1583; SMD: 0.05; 95% CI: -0.11 to 0.21; P=.56), 6 (4 RCTs; n=1538; SMD: 0.06; 95% CI: -0.12 to 0.23; P=.53) and 12 months (4 RCTs; n=1528; SMD: 0.08; 95% CI: -0.08 to 0.25; P=.30) and QoL at 3 (4 RCTs; n=1779; SMD: 0.08; 95% CI: -0.02 to 0.17; P=.12), 6 (3 RCTs; n=1206; SMD: 0.03; 95% CI: -0.08 to 0.14; P=.59), and 12 months (4 RCTs; n=1729; SMD: -0.03; 95% CI: -0.12 to 0.07; P=.58). CONCLUSIONS: Low certainty meta-analyses found no clinically significant differences in pain, function, and QoL between single and multiple physiotherapy sessions for MSKD management for the conditions studied. Future research should compare the cost-effectiveness of those different models of care.

Dysfunctional and Dysregulated Nitric Oxide Synthases in Cardiovascular Disease: Mechanisms and Therapeutic Potential.

Nitric oxide (NO) plays an important and diverse signalling role in the cardiovascular system, contributing to the regulation of vascular tone, endothelial function, myocardial function, haemostasis, and thrombosis, amongst many other roles. NO is synthesised through the nitric oxide synthase (NOS)-dependent L-arginine-NO pathway, as well as the nitrate-nitrite-NO pathway. The three isoforms of NOS, namely neuronal (NOS1), inducible (NOS2), and endothelial (NOS3), have different localisation and functions in the human body, and are consequently thought to have differing pathophysiological roles. Furthermore, as we continue to develop a deepened understanding of the different roles of NOS isoforms in disease, the possibility of therapeutically modulating NOS activity has emerged. Indeed, impaired (or dysfunctional), as well as overactive (or dysregulated) NOS activity are attractive therapeutic targets in cardiovascular disease. This review aims to describe recent advances in elucidating the physiological role of NOS isoforms within the cardiovascular system, as well as mechanisms of dysfunctional and dysregulated NOS in cardiovascular disease. We then discuss the modulation of NO and NOS activity as a target in the development of novel cardiovascular therapeutics.

The ocular manifestations of relapsing polychondritis.

PURPOSE: Relapsing polychondritis (RPC) is a rare, multi-system, inflammatory disorder. Ocular disease is estimated to occur in 14-67% of patients with RPC, and any ocular structure can be affected. Published case reports and series of RPC were analysed to determine the frequency and nature of the ocular manifestations of RPC, including the age and gender distribution. METHODS: A literature search of the MEDLINE database for case reports and series on RPC was conducted in October 2021 using search terms [relapsing polychondritis (MeSH Major Topic)] OR [relapsing polychondritis (Title/Abstract)]. Articles were included if the diagnosis of RPC was confirmed using established diagnostic criteria and if the paper described the clinical features of patients with RPC. RESULTS: 546 articles (454 case reports and 92 case series) described the clinical features in a total of 2414 patients with RPC. 49% of patients with RPC had ocular involvement, and this was a presenting feature in 21%. The most common ocular manifestations were scleritis (32%), episcleritis (31%) and uveitis (23%). CONCLUSION: Many patients with RPC will be seen by an ophthalmologist during the course of their disease. Knowledge and awareness of RPC and its ocular manifestations is therefore essential to enable the ophthalmologist to make the diagnosis.

COVID-19 and the heart.

BACKGROUND: There is evidence for a bi-directional relationship between COVID-19 and the cardiovascular (CV) system. SOURCE OF DATA: Published literature. AREAS OF AGREEMENT: Pre-existing heart failure (HF) increases the risk of mortality with COVID-19. CV complications are recognized, including increased rates of acute coronary syndromes, HF, arrhythmia and myocarditis. Drugs targeting the angiotensin system are safe and may provide prognostic benefit. AREAS OF CONTROVERSY: Vaccination as a cause of myocarditis remains a key area of contention. GROWING POINTS: As the pandemic progresses, we are gaining more data about the long-term effects of COVID-19 on the CV system: long COVID, and medium-to-long-term increases in CV risk. AREAS TIMELY FOR DEVELOPING RESEARCH: Large-scale longitudinal studies will shed light on long-term CV outcomes with COVID-19. Furthermore, the differential effects of COVID-19 variants on the CV system must be investigated.

COVID-19 vaccination hesitancy among southern rural veterans with cancer in the arkansas-louisiana-texas (ArkLATX) region.

Context: The COVID-19 pandemic continues to be a major socioeconomic disruptor in the U.S. and around the globe. The only intervention that has a far-reaching impact is the adoption of an efficient large-scale vaccination campaign with the highly effective COVID-19 vaccines. While the success of this strategy is predicated on the presence of adequate healthcare systems capacity, it also hinges on the trust and acceptance of the public. Vaccine hesitancy, which varies by the geosocial context, is considered a top obstacle. Objective: The Overton Brooks VA embarked on a survey to explore the demographic patterns and reasons for COVID-19 vaccination hesitancy among cancer patients. Study Design: phone survey. Setting: five Hematology-Oncology clinics across the ArkLATX. Population: random sample of 240 veterans with cancer. Intervention: Veterans were asked whether they are interested in getting vaccinated and to state the reason if they declined. They were asked to categorize the reason as relating to safety, efficacy, inadequate Information, aversion to any vaccine, not wanting to be the first, or other/explain. Outcome Measures: 1. Descriptive statistics of those who want and those who decline the vaccine. 2. Determine the impact of demographic factors on COVID19 vaccine hesitancy. Results: The median age was 71 years. The participants were 92% males and 40% Black vs 59% White. Seventy nine percent wanted to get vaccinated. Among the veterans that declined (21%), the reasons were due to concerns about safety (33%), not wanting to be the first (33%), anti-vaxxer stance (14%), and inadequate information (8%). No one cited concerns about efficacy as a reason. Other reasons (12%) included seeing no reason for the vaccination, citing severe reactions to prior vaccines, and voicing mistrust of the government. There were no statistical differences between veterans that approved or declined the vaccine with respect to demographic characteristics. Conclusions: This survey indicates that the majority of ArkLATX veterans with cancer are willing to be vaccinated against COVID-19. The major reasons behind vaccine hesitancy seem to be information problems consisting of questions about safety, inadequate information, and seeing no reason for the vaccine. Such barriers can be potentially circumvented by providing the appropriate information and counseling.

Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is thought to be highly prevalent yet remains underdiagnosed. Evidence-based treatments are available that increase quality of life and decrease hospitalization. We sought to develop a data-driven diagnostic model to predict from electronic health records (EHR) the likelihood of HFpEF among patients with unexplained dyspnea and preserved left ventricular EF. METHODS AND RESULTS: The derivation cohort comprised patients with dyspnea and echocardiography results. Structured and unstructured data were extracted using an automated informatics pipeline. Patients were retrospectively diagnosed as HFpEF (cases), non-HF (control cohort I), or HF with reduced EF (HFrEF; control cohort II). The ability of clinical parameters and investigations to discriminate cases from controls was evaluated by extreme gradient boosting. A likelihood scoring system was developed and validated in a separate test cohort. The derivation cohort included 1585 consecutive patients: 133 cases of HFpEF (9%), 194 non-HF cases (Control cohort I) and 1258 HFrEF cases (Control cohort II). Two HFpEF diagnostic signatures were derived, comprising symptoms, diagnoses and investigation results. A final prediction model was generated based on the averaged likelihood scores from these two models. In a validation cohort consisting of 269 consecutive patients [with 66 HFpEF cases (24.5%)], the diagnostic power of detecting HFpEF had an AUROC of 90% (P < 0.001) and average precision of 74%. CONCLUSION: This diagnostic signature enables discrimination of HFpEF from non-cardiac dyspnea or HFrEF from EHR and can assist in the diagnostic evaluation in patients with unexplained dyspnea. This approach will enable identification of HFpEF patients who may then benefit from new evidence-based therapies.

Direct cardiac versus systemic effects of inorganic nitrite on human left ventricular function.

Inorganic nitrite is a source of nitric oxide (NO) and is considered as a potential therapy in settings where endogenous NO bioactivity is reduced and left ventricular (LV) function impaired. However, the effects of nitrite on human cardiac contractile function, and the extent to which these are direct or indirect, are unclear. We studied 40 patients undergoing diagnostic cardiac catheterization who had normal LV systolic function and were not found to have obstructive coronary disease. They received either an intracoronary sodium nitrite infusion (8.7-26 µmol/min, n = 20) or an intravenous sodium nitrite infusion (50 µg/kg/min, n = 20). LV pressure-volume relations were recorded. The primary end point was LV end-diastolic pressure (LVEDP). Secondary end points included indices of LV systolic and diastolic function. Intracoronary nitrite infusion induced a significant reduction in LVEDP, LV end-diastolic pressure-volume relationship (EDPVR), and the time to LV end-systole (LVEST) but had no significant effect on LV systolic function or systemic hemodynamics. Intravenous nitrite infusion induced greater effects, with significant decreases in LVEDP, EDPVR, LVEST, LV dP/dtmin, tau, and mean arterial pressure. Inorganic nitrite has modest direct effects on human LV diastolic function, independent of LV loading conditions and without affecting LV systolic properties. However, the systemic administration of nitrite has larger effects on LV diastolic function, which are related to reduction in both preload and afterload. These contractile effects of inorganic nitrite may indicate a favorable profile for conditions characterized by LV diastolic dysfunction.NEW & NOTEWORTHY This is the first study to assess the direct and indirect effects of inorganic nitrite on invasive measures of left ventricular function in humans in vivo. Inorganic nitrite has a modest direct myocardial effect, improving diastolic function. Systemic administration of nitrite has larger effects related to alterations in cardiac preload and afterload. The changes induced by nitrite appear favorable for potential use in conditions characterized by LV diastolic dysfunction.

Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study.

BACKGROUND: The National Early Warning Score (NEWS2) is currently recommended in the UK for the risk stratification of COVID-19 patients, but little is known about its ability to detect severe cases. We aimed to evaluate NEWS2 for the prediction of severe COVID-19 outcome and identify and validate a set of blood and physiological parameters routinely collected at hospital admission to improve upon the use of NEWS2 alone for medium-term risk stratification. METHODS: Training cohorts comprised 1276 patients admitted to King's College Hospital National Health Service (NHS) Foundation Trust with COVID-19 disease from 1 March to 30 April 2020. External validation cohorts included 6237 patients from five UK NHS Trusts (Guy's and St Thomas' Hospitals, University Hospitals Southampton, University Hospitals Bristol and Weston NHS Foundation Trust, University College London Hospitals, University Hospitals Birmingham), one hospital in Norway (Oslo University Hospital), and two hospitals in Wuhan, China (Wuhan Sixth Hospital and Taikang Tongji Hospital). The outcome was severe COVID-19 disease (transfer to intensive care unit (ICU) or death) at 14 days after hospital admission. Age, physiological measures, blood biomarkers, sex, ethnicity, and comorbidities (hypertension, diabetes, cardiovascular, respiratory and kidney diseases) measured at hospital admission were considered in the models. RESULTS: A baseline model of 'NEWS2 + age' had poor-to-moderate discrimination for severe COVID-19 infection at 14 days (area under receiver operating characteristic curve (AUC) in training cohort = 0.700, 95% confidence interval (CI) 0.680, 0.722; Brier score = 0.192, 95% CI 0.186, 0.197). A supplemented model adding eight routinely collected blood and physiological parameters (supplemental oxygen flow rate, urea, age, oxygen saturation, C-reactive protein, estimated glomerular filtration rate, neutrophil count, neutrophil/lymphocyte ratio) improved discrimination (AUC = 0.735; 95% CI 0.715, 0.757), and these improvements were replicated across seven UK and non-UK sites. However, there was evidence of miscalibration with the model tending to underestimate risks in most sites. CONCLUSIONS: NEWS2 score had poor-to-moderate discrimination for medium-term COVID-19 outcome which raises questions about its use as a screening tool at hospital admission. Risk stratification was improved by including readily available blood and physiological parameters measured at hospital admission, but there was evidence of miscalibration in external sites. This highlights the need for a better understanding of the use of early warning scores for COVID.

The IDENTIFY study: the investigation and detection of urological neoplasia in patients referred with suspected urinary tract cancer - a multicentre observational study.

OBJECTIVE: To evaluate the contemporary prevalence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC] and renal cancer) in patients referred to secondary care with haematuria, adjusted for established patient risk markers and geographical variation. PATIENTS AND METHODS: This was an international multicentre prospective observational study. We included patients aged ≥16 years, referred to secondary care with suspected urinary tract cancer. Patients with a known or previous urological malignancy were excluded. We estimated the prevalence of bladder cancer, UTUC, renal cancer and prostate cancer; stratified by age, type of haematuria, sex, and smoking. We used a multivariable mixed-effects logistic regression to adjust cancer prevalence for age, type of haematuria, sex, smoking, hospitals, and countries. RESULTS: Of the 11 059 patients assessed for eligibility, 10 896 were included from 110 hospitals across 26 countries. The overall adjusted cancer prevalence (n = 2257) was 28.2% (95% confidence interval [CI] 22.3-34.1), bladder cancer (n = 1951) 24.7% (95% CI 19.1-30.2), UTUC (n = 128) 1.14% (95% CI 0.77-1.52), renal cancer (n = 107) 1.05% (95% CI 0.80-1.29), and prostate cancer (n = 124) 1.75% (95% CI 1.32-2.18). The odds ratios for patient risk markers in the model for all cancers were: age 1.04 (95% CI 1.03-1.05; P < 0.001), visible haematuria 3.47 (95% CI 2.90-4.15; P < 0.001), male sex 1.30 (95% CI 1.14-1.50; P < 0.001), and smoking 2.70 (95% CI 2.30-3.18; P < 0.001). CONCLUSIONS: A better understanding of cancer prevalence across an international population is required to inform clinical guidelines. We are the first to report urinary tract cancer prevalence across an international population in patients referred to secondary care, adjusted for patient risk markers and geographical variation. Bladder cancer was the most prevalent disease. Visible haematuria was the strongest predictor for urinary tract cancer.

Grapefruit juice enhances the systolic blood pressure-lowering effects of dietary nitrate-containing beetroot juice.

AIMS: Dietary nitrate from sources such as beetroot juice lowers blood pressure (BP) via the nitrate-nitrite-nitric oxide (NO) pathway. However, NO and nitrite are inactivated via reoxidation to nitrate, potentially limiting their activity. Cytochrome P450-3A4 inhibition with troleandomycin prevents nitrite re-oxidation to nitrate in rodent liver. Grapefruit juice contains the CYP3A4 inhibitor furanocoumarin. We therefore hypothesized that grapefruit juice would enhance BP-lowering with beetroot juice by maintaining circulating [nitrite]. METHODS: We performed a randomized, placebo-controlled, 7-hour crossover study in 11 healthy volunteers, attending on 3 occasions, receiving: a 70-mL shot of active beetroot juice (Beet-It) and either (i) 250 mL grapefruit juice (Active Beet+GFJ), or (ii) 250 mL water (Buxton, Active Beet+H2 O); or (iii) Placebo Beet+GFJ. RESULTS: The addition of grapefruit juice to active beetroot juice lowered systolic BP (SBP): Active Beet+GFJ vs Active Beet+H2 O (P = .02), and pulse pressure, PP (P = .0003). Peak mean differences in SBP and PP were seen at T = 5 hours: -3.3 mmHg (95% confidence interval [CI] -6.43 to -0.15) and at T = 2.5 hours: -4.2 mmHg (95% CI -0.3 to -8.2), respectively. Contrary to the hypothesis, plasma [nitrite] was lower with Active Beet+GFJ vs Active Beet+H2 O (P = .006), as was salivary nitrite production (P = .002) and saliva volume (-0.34 mL/min [95% CI -0.05 to -0.68]). The taste score of Beet+GFJ was 1.4/10 points higher than Beet+H2 O (P = .03). CONCLUSION: Grapefruit juice enhanced beetroot juice's effect on lowering SBP and PP despite decreasing plasma [nitrite]. Besides suggesting more complex mechanisms, there is potential for maximising the clinical benefit of dietary nitrate and targeting isolated systolic hypertension.

Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19.

BACKGROUND: The relative association between cardiovascular (CV) risk factors, such as diabetes and hypertension, established CV disease (CVD), and susceptibility to CV complications or mortality in COVID-19 remains unclear. METHODS: We conducted a cohort study of consecutive adults hospitalised for severe COVID-19 between 1st March and 30th June 2020. Pre-existing CVD, CV risk factors and associations with mortality and CV complications were ascertained. RESULTS: Among 1721 patients (median age 71 years, 57% male), 349 (20.3%) had pre-existing CVD (CVD), 888 (51.6%) had CV risk factors without CVD (RF-CVD), 484 (28.1%) had neither. Patients with CVD were older with a higher burden of non-CV comorbidities. During follow-up, 438 (25.5%) patients died: 37% with CVD, 25.7% with RF-CVD and 16.5% with neither. CVD was independently associated with in-hospital mortality among patients < 70 years of age (adjusted HR 2.43 [95% CI 1.16-5.07]), but not in those ≥ 70 years (aHR 1.14 [95% CI 0.77-1.69]). RF-CVD were not independently associated with mortality in either age group (< 70 y aHR 1.21 [95% CI 0.72-2.01], ≥ 70 y aHR 1.07 [95% CI 0.76-1.52]). Most CV complications occurred in patients with CVD (66%) versus RF-CVD (17%) or neither (11%; p < 0.001). 213 [12.4%] patients developed venous thromboembolism (VTE). CVD was not an independent predictor of VTE. CONCLUSIONS: In patients hospitalised with COVID-19, pre-existing established CVD appears to be a more important contributor to mortality than CV risk factors in the absence of CVD. CVD-related hazard may be mediated, in part, by new CV complications. Optimal care and vigilance for destabilised CVD are essential in this patient group. Trial registration n/a.

Demographic, Behavioral, and Proximal Risk Factors for Gambling Disorder in the US Military.

BACKGROUND AND OBJECTIVES: To estimate the diagnostic prevalence and incidence of gambling disorder among United States service members and to identify associated risk factors, including demographics, history of mental illness or substance misuse, and proximity to legalized gambling vicinities. METHODS: Gambling disorder cases comprised active component Service members who received a pathological or problem gambling diagnosis between October 1, 2005 and September 30, 2015. There were 901 cases (392 incidents) during the study period. Controls were matched on the case military entrance date (N = 43,564). Geospatial distance between gambling venue and military treatment facilities were calculated, then multivariable logistic regression and survival analyses were conducted. RESULTS: The 10-year prevalence of gambling disorder was 6.6 per 100,000. Men were 3.5 times more likely than women to receive a gambling disorder diagnosis. Other risk factors included age over 24, Asian or Black race, formerly married, and enlisted rank. The odds of gambling disorder increased with duration and proximity to gambling venues, ranging from 2.0 to 3.9. Service members with prior substance misuse or mental health conditions were 3.9 times and 6.3 times more likely to receive a disordered gambling diagnosis than those without substance misuse or mental illness history, respectively. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: The results of this study reveal that proximity to gambling venues and slot machines on bases, as well as a history of substance misuse or mental disorders, are important risk factors for gambling disorder in the US military. Department of Defense screening policies that focus on high-risk populations are appropriate. (Am J Addict 2021;00:00-00).

A Simple Clinical Tool for Stratifying Risk of Clinically Significant CKD after Nephrectomy: Development and Multinational Validation.

BACKGROUND: Clinically significant CKD following surgery for kidney cancer is associated with increased morbidity and mortality, but identifying patients at increased CKD risk remains difficult. Simple methods to stratify risk of clinically significant CKD after nephrectomy are needed. METHODS: To develop a tool for stratifying patients' risk of CKD arising after surgery for kidney cancer, we tested models in a population-based cohort of 699 patients with kidney cancer in Queensland, Australia (2012-2013). We validated these models in a population-based cohort of 423 patients from Victoria, Australia, and in patient cohorts from single centers in Queensland, Scotland, and England. Eligible patients had two functioning kidneys and a preoperative eGFR ≥60 ml/min per 1.73 m2. The main outcome was incident eGFR <45 ml/min per 1.73 m2 at 12 months postnephrectomy. We used prespecified predictors-age ≥65 years old, diabetes mellitus, preoperative eGFR, and nephrectomy type (partial/radical)-to fit logistic regression models and grouped patients according to degree of risk of clinically significant CKD (negligible, low, moderate, or high risk). RESULTS: Absolute risks of stage 3b or higher CKD were <2%, 3% to 14%, 21% to 26%, and 46% to 69% across the four strata of negligible, low, moderate, and high risk, respectively. The negative predictive value of the negligible risk category was 98.9% for clinically significant CKD. The c statistic for this score ranged from 0.84 to 0.88 across derivation and validation cohorts. CONCLUSIONS: Our simple scoring system can reproducibly stratify postnephrectomy CKD risk on the basis of readily available parameters. This clinical tool's quantitative assessment of CKD risk may be weighed against other considerations when planning management of kidney tumors and help inform shared decision making between clinicians and patients.

Whatever it takes? The global financial safety net, Covid-19, and developing countries.

Multilateral financial institutions have pledged to do whatever it takes to enable emerging market and developing countries to fill a $2.5 trillion financing gap to combat Covid-19 and subsequent economic crises. In this article, we present new datasets to track the extent to which multilateral financial institutions are meeting these goals, and conduct a preliminary assessment of progress to date. We find that the International Monetary Fund and the principal regional financial arrangements have made relatively trivial amounts of new financing available and have been slow to disburse the financing at their disposal. As of July 31, 2020, these institutions had committed $89.56 billion in loans and $550 million in currency swaps, totaling $90.11 billion-just 12.6% of their current capacity. The new datasets allow scholars, policymakers, and civil society to continue to track these trends, and eventually examine the impact of such financing on health and development outcomes.

River lamprey present an unusual predation threat to Atlantic salmon smolts in Lough Neagh, Northern Ireland.

A new monitoring programme on the Lough Neagh catchment has documented a high incidence of river lamprey, Lampetra fluviatilis L., predation on Atlantic salmon smolts, Salmo salar L. In total 470 smolts were examined during the 2020 emigration period with 168 fish (36%) exhibiting lamprey scars of which 57 were lightly scarred and 111 were classed as heavily scarred. Lamprey predation was not size selective on Lough Neagh S. salar smolts.

The VENUSS prognostic model to predict disease recurrence following surgery for non-metastatic papillary renal cell carcinoma: development and evaluation using the ASSURE prospective clinical trial cohort.

BACKGROUND: The current World Health Organization classification recognises 12 major subtypes of renal cell carcinoma (RCC). Although these subtypes differ on molecular and clinical levels, they are generally managed as the same disease, simply because they occur in the same organ. Specifically, there is a paucity of tools to risk-stratify patients with papillary RCC (PRCC). The purpose of this study was to develop and evaluate a tool to risk-stratify patients with clinically non-metastatic PRCC following curative surgery. METHODS: We studied clinicopathological variables and outcomes of 556 patients, who underwent full resection of sporadic, unilateral, non-metastatic (T1-4, N0-1, M0) PRCC at five institutions. Based on multivariable Fine-Gray competing risks regression models, we developed a prognostic scoring system to predict disease recurrence. This was further evaluated in the 150 PRCC patients recruited to the ASSURE trial. We compared the discrimination, calibration and decision-curve clinical net benefit against the Tumour, Node, Metastasis (TNM) stage group, University of California Integrated Staging System (UISS) and the 2018 Leibovich prognostic groups. RESULTS: We developed the VENUSS score from significant variables on multivariable analysis, which were the presence of VEnous tumour thrombus, NUclear grade, Size, T and N Stage. We created three risk groups based on the VENUSS score, with a 5-year cumulative incidence of recurrence equalling 2.9% in low-risk, 15.4% in intermediate-risk and 54.5% in high-risk patients. 91.7% of low-risk patients had oligometastatic recurrent disease, compared to 16.7% of intermediate-risk and 40.0% of high-risk patients. Discrimination, calibration and clinical net benefit from VENUSS appeared to be superior to UISS, TNM and Leibovich prognostic groups. CONCLUSIONS: We developed and tested a prognostic model for patients with clinically non-metastatic PRCC, which is based on routine pathological variables. This model may be superior to standard models and could be used for tailoring postoperative surveillance and defining inclusion for prospective adjuvant clinical trials.