Organic carbon concentrations in 3.5-billion-year-old lacustrine mudstones of Mars.

The Sample Analysis at Mars instrument stepped combustion experiment on a Yellowknife Bay mudstone at Gale crater, Mars revealed the presence of organic carbon of Martian and meteoritic origins. The combustion experiment was designed to access refractory organic carbon in Mars surface sediments by heating samples in the presence of oxygen to combust carbon to CO2. Four steps were performed, two at low temperatures (less than ∼550 °C) and two at high temperatures (up to ∼870 °C). More than 950 µg C/g was released at low temperatures (with an isotopic composition of δ13C = +1.5 ± 3.8‰) representing a minimum of 431 µg C/g indigenous organic and inorganic Martian carbon components. Above 550 °C, 273 ± 30 µg C/g was evolved as CO2 and CO (with estimated δ13C = -32.9‰ to -10.1‰ for organic carbon). The source of high temperature organic carbon cannot be definitively confirmed by isotopic composition, which is consistent with macromolecular organic carbon of igneous origin, meteoritic infall, or diagenetically altered biomass, or a combination of these. If from allochthonous deposition, organic carbon could have supported both prebiotic organic chemistry and heterotrophic metabolism at Gale crater, Mars, at ∼3.5 Ga.

Cardiovascular Complications of Down Syndrome: Scoping Review and Expert Consensus.

Cardiovascular disease is a leading cause of morbidity and mortality in individuals with Down syndrome. Congenital heart disease is the most common cardiovascular condition in this group, present in up to 50% of people with Down syndrome and contributing to poor outcomes. Additional factors contributing to cardiovascular outcomes include pulmonary hypertension; coexistent pulmonary, endocrine, and metabolic diseases; and risk factors for atherosclerotic disease. Moreover, disparities in the cardiovascular care of people with Down syndrome compared with the general population, which vary across different geographies and health care systems, further contribute to cardiovascular mortality; this issue is often overlooked by the wider medical community. This review focuses on the diagnosis, prevalence, and management of cardiovascular disease encountered in people with Down syndrome and summarizes available evidence in 10 key areas relating to Down syndrome and cardiac disease, from prenatal diagnosis to disparities in care in areas of differing resource availability. All specialists and nonspecialist clinicians providing care for people with Down syndrome should be aware of best clinical practice in all aspects of care of this distinct population.

Visual manifestations in giant cell arteritis: identification of risk factors from the ARTESER Registry.

OBJECTIVE: To determine the prevalence and predictive factors of visual manifestations in a large registry of patients with GCA. METHODS: ARTESER is a large Spanish multicentre registry supported by the Spanish Society of Rheumatology. It includes patients with GCA from across the entire country diagnosed between June 2013 and March 2019. The variables collected at diagnosis were demographics, clinical manifestations (including all visual manifestations), laboratory, temporal artery biopsy, and imaging findings (ultrasound, FDG-PET/CT, MRI angiography, CT angiography). Patients with and without visual involvement were compared in a bivariate analysis. Multivariate logistic regression was performed to determine potential predictive factors of visual manifestations. RESULTS: The study population comprised 1636 GCA patients, of whom 599 (36.6%) presented visual manifestations. Anterior ischemic optic neuropathy was the most frequent (n = 274 of 599; 45.7%) ocular complication. The independent predictors that increased the risk (OR; 95% confidence interval) of visual involvement were older age (1.027; 1.009-1.045) and jaw claudication (1.724; 1.325-2.243). The variables associated with a reduced risk were polymyalgia rheumatica (0.541; 0.414-0.708), fever (0.373; 0.264-0.527), longer symptom duration (0.946; 0.909-0.985), and higher erythrocyte sedimentation rate (ESR) (0.992; 0.988-0.997), common features of patients with large vessel-GCA. CONCLUSION: One-third of GCA patients present visual manifestations at diagnosis. Older age and jaw claudication are independent predictors of visual manifestations, whereas polymyalgia rheumatica, fever, longer symptom duration, and high ESR reduce the risk of visual involvement.

Resuscitating the macro- vs. microcirculation in septic shock.

PURPOSE OF REVIEW: This review summarizes current literature about the relationships between macro and microcirculation and their practical clinical implications in children with septic shock. RECENT FINDINGS: Current evidence from experimental and clinical observational studies in children and adults with septic shock reveals that the response to treatment and resuscitation is widely variable. Furthermore, there is a loss of hemodynamic coherence, as resuscitation-induced improvement in macrocirculation (systemic hemodynamic parameters) does not necessarily result in a parallel improvement in the microcirculation. Therefore, patient-tailored monitoring is essential in order to adjust treatment requirements during resuscitation in septic shock. Optimal monitoring must integrate macrocirculation (heart rate, blood pressure, cardiac output, and ultrasound images), microcirculation (videomicroscopy parameters and capillary refill time) and cellular metabolism (lactic acid, central venous blood oxygen saturation, and difference of central venous to arterial carbon dioxide partial pressure). SUMMARY: There is a dire need for high-quality studies to assess the relationships between macrocirculation, microcirculation and tissue metabolism in children with septic shock. The development of reliable and readily available microcirculation and tissue perfusion biomarkers (other than lactic acid) is also necessary to improve monitoring and treatment adjustment in such patients.

Prevalence of Sarcopenia in Chronic Heart Failure and Modulating Role of Chronic Kidney Disease.

INTRODUCTION: Sarcopenia, heart failure (HF), and chronic kidney disease (CKD) are common among the older people. Our objective was to evaluate the frequency of sarcopenia, among community-dwelling older adults with HF, possible causative factors, and the additive factor of CKD. METHODS: A cross-sectional analysis of 1,420 older people living in the community was carried out. Participants (aged 75 years and more) came from a European multicenter prospective cohort (SCOPE study). Global geriatric assessment including short physical performance battery, handgrip strength test, and bioelectrical impedance analysis was performed. Previous known HF was defined as physician-diagnosed HF registered in the patient's medical record or the use of HF-related medications, regardless of left ventricular ejection fraction (LVEF). Sarcopenia was defined by the updated criteria of the European Working Group on Sarcopenia in Older People (EWGSOP2). Estimated glomerular filtration rate was calculated using Berlin Initiative Study (BIS) to define the stages of CKD. Two-year mortality was also collected. RESULTS: A total of 226 (15.9%) participants had a prior chronic HF diagnosis, with a median age of 80.0 (5.0), and 123 (54.4%) were women. Using EWGSOP2 definition, 11.5% HF and 10.7% in non-HF participants met diagnostic criteria for sarcopenia. In multivariate analyses, only a lower body mass index (BMI) (odds ratios [OR], 0.82; 95% confidence interval [CI], 0.73-0.93) and lower short physical performance battery score (OR, 0.81; 95% CI, 0.69-0.96) were associated with sarcopenia. Patients with HF and sarcopenia have a similar all-cause mortality risk but higher 2-year cardiovascular mortality risk (p = 0.047). DISCUSSION/CONCLUSION: One out of ten community-dwelling older adults with concurrent clinical stable chronic HF, without considering LVEF, have sarcopenia. Lower BMI and poor physical performance are associated with sarcopenia in this population, but not CKD.

Assessing the relationship between multimorbidity, NCD configurations, frailty phenotypes, and mortality risk in older adults.

BACKGROUND: Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) patterns or configurations that could be associated with frailty and death. Mortality risk may vary depending on the presence of specific chronic diseases configurations or frailty. METHODS: The aim was to examine the impact of NCD configurations on mortality risk among older adults with distinct frailty phenotypes. The population was analyzed from the Costa Rican Longevity and Healthy Aging Study Cohort (CRELES). A total of 2,662 adults aged 60 or older were included and followed for 5 years. Exploratory factor analysis and various clustering techniques were utilized to identify NCD configurations. The frequency of NCD accumulation was also assessed for a multimorbidity definition. Frailty phenotypes were set according to Fried et al. criteria. Kaplan‒Meier survival analyses, mortality rates, and Cox proportional hazards models were estimated. RESULTS: Four different types of patterns were identified: 'Neuro-psychiatric', 'Metabolic', 'Cardiovascular', and 'Mixt' configurations. These configurations showed a higher mortality risk than the mere accumulation of NCDs [Cardiovascular HR:1.65 (1.07-2.57); 'Mixt' HR:1.49 (1.00-2.22); ≥3 NCDs HR:1.31 (1.09-1.58)]. Frailty exhibited a high and constant mortality risk, irrespective of the presence of any NCD configuration or multimorbidity definition. However, HRs decreased and lost statistical significance when phenotypes were considered in the Cox models [frailty + 'Cardiovascular' HR:1.56 (1.00-2.42); frailty + 'Mixt':1.42 (0.95-2.11); and frailty + ≥ 3 NCDs HR:1.23 (1.02-1.49)]. CONCLUSIONS: Frailty accompanying multimorbidity emerges as a more crucial indicator of mortality risk than multimorbidity alone. Therefore, studying NCD configurations is worthwhile as they may offer improved risk profiles for mortality as alternatives to straightforward counts.

Efficacy of a Telemonitoring System as a Complementary Strategy in the Treatment of Patients With Heart Failure: Randomized Clinical Trial.

Episodes of decompensation are the main cause of hospital admissions in patients with heart failure. For this reason, the use of mobile apps emerges as an excellent strategy to improve coverage, real-time monitoring, and timeliness of care. ControlVit is an electronic application for early detection of complications studied within the context of a tertiary university hospital. Patients were randomized to the use of ControlVit versus placebo, during a 6-month follow-up. The primary outcome was the difference in numbers of readmissions and deaths for heart failure between both groups. One hundred forty patients were included (intervention = 71, placebo = 69), with an average age of 66 years old; 71% were men. The main etiology of heart failure was ischemic (60%), whereas the main comorbidities were arterial hypertension (44%), dyslipidemia (42%), hypothyroidism (38%), chronic kidney disease (38%), and diabetes mellitus (27%). The primary outcome occurred more frequently in the control group: readmission due to decompensation for heart failure (control group n = 14 vs intervention group n = 3; P = .0081), and death (control group n = 11 vs intervention group n = 3; P = .024). In heart failure patients, ControlVit is a useful and supplementary tool, which reduces hospital admissions due to episodes of decompensation.

Special Considerations for Mechanical Circulatory Support or Device Therapy in Adult Congenital Heart Disease Heart Failure.

Heart failure has become the leading cause of mortality in adult congenital heart disease (ACHD) patients after the fifth decade of life. There is scanty evidence supporting the use of guideline-directed medical therapy in ACHD, especially in systemic right ventricle or single ventricle physiology. In complex patients, diagnosing heart failure and timely referral for advanced therapies are challenging. Mechanical circulatory support has been significantly developed over the past decade and has recently emerged as a feasible therapeutic option for these patients. This review summarizes current evidence of mechanical circulatory support in this population, its potential uses, and challenges.

Fluorescent-Probe Characterization for Pore-Space Mapping with Single-Particle Tracking.

Porous solids often contain complex pore networks with pores of various sizes. Tracking individual fluorescent probes as they diffuse through porous materials can be used to characterize pore networks at tens of nanometers resolution. However, understanding the motion behavior of fluorescent probes in confinement is crucial to reliably derive pore network properties. Here, we introduce well-defined lithography-made model pores developed to study probe behavior in confinement. We investigated the influence of probe-host interactions on diffusion and trapping of confined single-emitter quantum-dot probes. Using the pH-responsiveness of the probes, we were able to largely suppress trapping at the pore walls. This enabled us to define experimental conditions for mapping of the accessible pore space of a one-dimensional pore array as well as a real-life polymerization-catalyst-support particle.

Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.

OBJECTIVE: Automatic MR imaging segmentation of the prostate provides relevant clinical benefits for prostate cancer evaluation such as calculation of automated PSA density and other critical imaging biomarkers. Further, automated T2-weighted image segmentation of central-transition zone (CZ-TZ), peripheral zone (PZ), and seminal vesicle (SV) can help to evaluate clinically significant cancer following the PI-RADS v2.1 guidelines. Therefore, the main objective of this work was to develop a robust and reproducible CNN-based automatic prostate multi-regional segmentation model using an intercontinental cohort of prostate MRI. METHODS: A heterogeneous database of 243 T2-weighted prostate studies from 7 countries and 10 machines of 3 different vendors, with the CZ-TZ, PZ, and SV regions manually delineated by two experienced radiologists (ground truth), was used to train (n = 123) and test (n = 120) a U-Net-based model with deep supervision using a cyclical learning rate. The performance of the model was evaluated by means of dice similarity coefficient (DSC), among others. Segmentation results with a DSC above 0.7 were considered accurate. RESULTS: The proposed method obtained a DSC of 0.88 ± 0.01, 0.85 ± 0.02, 0.72 ± 0.02, and 0.72 ± 0.02 for the prostate gland, CZ-TZ, PZ, and SV respectively in the 120 studies of the test set when comparing the predicted segmentations with the ground truth. No statistically significant differences were found in the results obtained between manufacturers or continents. CONCLUSION: Prostate multi-regional T2-weighted MR images automatic segmentation can be accurately achieved by U-Net like CNN, generalizable in a highly variable clinical environment with different equipment, acquisition configurations, and population. KEY POINTS: • Deep learning techniques allows the accurate segmentation of the prostate in three different regions on MR T2w images. • Multi-centric database proved the generalization of the CNN model on different institutions across different continents. • CNN models can be used to aid on the diagnosis and follow-up of patients with prostate cancer.

Diabetes and factors associated with cognitive and functional decline. The screening for CKD among older people across Europe (SCOPE) study.

BACKGROUND: Type 2 diabetes mellitus (DM) in older people is a heterogeneous condition that exhibits differential characteristics in comparison with younger adults. DM increases the risk of disability, is associated with dementia and loss of function, and cognition may often be interrelated and more pronounced in older patients with DM than in those without. AIMS: Our aim was to evaluate the incidence of functional and/or cognitive impairment in older adults with and without DM, and its associated factors in DM participants. METHODS: A 2-year prospective analysis was conducted in a European multicenter prospective cohort (SCOPE study). Older community-dwelling adults (aged ≥ 75 years) underwent a comprehensive geriatric assessment. New functional and/or cognitive decline was explored. RESULTS: Of 1611 participants, 335 (22.0%) had DM at baseline. The percentage of participants scoring at least one ADL impairment and/or cognitive impairment (MMSE < 24) was similar in both groups (9.6%). Factors associated with any new disability in participants with DM in the multivariate analysis were female sex (OR 3.28, 95% CI 1.42-7.56), history of stroke (OR 4.58, 95% CI 1.64-12.7), and greater IADL dependency (OR 1.08 95% CI 1.02-1.15). DISCUSSION: Association between DM and cognitive or functional decline in outpatients of 75 years and older was not found, but factors such as female gender, history of stroke, and IADL dependency could be related. CONCLUSION: Decline in functional and cognitive status of community-dwelling older adults with DM was similar to participants without DM in a short period of 2 years of follow-up, though several clinical factors may increase its risk in this population.

Perinatal, obstetric and parental risk factors for asthma in the offspring throughout childhood: a longitudinal cohort study.

OBJECTIVES: Asthma is a common chronic and burdensome disease which typically begins in childhood. The aim of this study was to assess perinatal and obstetric factors which may increase the risk of developing asthma in the offspring. METHODS: Data from five consecutive waves (n=7,073 children, from birth to 15 years old) from a nationally-representative birth cohort of people born in the United Kingdom between 2000 and 2002, the Millennium Cohort Study (MCS), were used. The Kaplan-Meier survival curve was used to graphically display the risk of developing asthma from early childhood to adolescence. The Z-based Wald test was used to prove significant covariate loading. RESULTS: Cox regression analyzing the influence of covariates on asthma development risk showed a significant likelihood ratio test, χ2(18)=899.30, p<0.01. A parent with asthma (OR=2.02, p<0.01), a younger maternal age at delivery (OR=0.98, p<0.05), and the use of assisted reproductive technology (OR=1.43, p<0.05) were associated with an increased risk of developing asthma in the offspring. CONCLUSIONS: Perinatal factors (a younger maternal age, assisted reproductive technology) and a parental factor (a parent with asthma) increased the risk for developing asthma in the offspring.

Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise.

In the manufacturing industry, inspection systems play a crucial role in ensuring product quality. High-resolution profilometric sensors have become increasingly popular for inspection due to their ability to provide detailed surface information. However, the development and testing of inspection systems can be costly and time-consuming. This paper presents the development of a simulation of an inspection system using a high-resolution profilometric sensor. A geometrical and noise model is proposed to simulate the readings of any actual profilometric sensor. The model replicates the sensor's movement on the CAD model of the inspected part. The model incorporates the physical properties of the sensor and combines noise sources from sensor uncertainty and speckle noise induced by the roughness of the material. Our contribution lies in noise modeling. This work proposes a combination of Perlin noise to simulate the speckle noise and Gaussian noise for the uncertainty-related noise. Perlin noise is generated based on the surface roughness parameters of the inspected part. The accuracy of the simulation system is evaluated by comparing the simulated scans with real scans. The results highlight the ability to simulate real scans of different parts, using commercial sensor specifications and the CAD model of the inspected part.

Cooperative Multiband Spectrum Sensing Using Radio Environment Maps and Neural Networks.

Cogitive radio networks (CRNs) require high capacity and accuracy to detect the presence of licensed or primary users (PUs) in the sensed spectrum. In addition, they must correctly locate the spectral opportunities (holes) in order to be available to nonlicensed or secondary users (SUs). In this research, a centralized network of cognitive radios for monitoring a multiband spectrum in real time is proposed and implemented in a real wireless communication environment through generic communication devices such as software-defined radios (SDRs). Locally, each SU uses a monitoring technique based on sample entropy to determine spectrum occupancy. The determined features (power, bandwidth, and central frequency) of detected PUs are uploaded to a database. The uploaded data are then processed by a central entity. The objective of this work was to determine the number of PUs, their carrier frequency, bandwidth, and the spectral gaps in the sensed spectrum in a specific area through the construction of radioelectric environment maps (REMs). To this end, we compared the results of classical digital signal processing methods and neural networks performed by the central entity. Results show that both proposed cognitive networks (one working with a central entity using typical signal processing and one performing with neural networks) accurately locate PUs and give information to SUs to transmit, avoiding the hidden terminal problem. However, the best-performing cognitive radio network was the one working with neural networks to accurately detect PUs on both carrier frequency and bandwidth.

Cardio SEM: A Novel Approach for a Traffic Light System for Heart Failure Warning Signs.

Existing literature on the follow-up of heart failure patients with warning signs shows that it is necessary to increase patients' knowledge and of seeking help in a timely manner. This suggests an opportunity to implement strategies that integrate technology to visualize the risk of decompensation. This article studies the acceptance of Cardio Sem, a traffic light system mobile application for patients with heart failure. A descriptive, observational pilot study was performed with 23 outpatients belonging to a heart failure program. For 4 weeks, patients used Cardio Sem, which allows visualizing the risk of decompensation through a series of questions that patients must answer daily and provides guidance for managing signs and symptoms of decompensation. A technology acceptance questionnaire was applied to all patients, resulting in acceptance of the application, especially in the dimensions that emphasized perceived usefulness (100%), social influence (100%), and behavioral intent (99.8%). Cardio Sem is useful for early detection of symptoms that allow for early response to complications. Acceptance of the application by patients and its ease of use present the possibility to implement it as a complementary tool to promote self-care and effective management of symptoms.

Case-control study of Clostridioides difficile in a rural health care area. / Estudio de casos-controles de la infección por Clostridioides difficile en un área sanitaria rural.

OBJECTIVE: To determine the risk and prognostic factors for Clostridioides difficile infection (CDI). PATIENTS AND METHODS: Prospective, case-control study with 61 cases and 64 controls, aged ≥2 years with diarrhoea, carried out in Castilla-La Mancha Health Care Area for 14 months. The diagnosis was made by immunochromatography technics (glutamate dehydrogenase and toxin A/B), confirming discordant cases by isothermal amplification. Demographic variables, comorbidities, type of acquisition, previous administration of antibiotics, antacids and immunosuppressants, and evolution were collected. The data were analysed using the chi-square test and the effect of risk and prognostic factors was quantified using an odds ratio with 95% confidence intervals. RESULTS: Hospital admission 4 weeks prior to infection, hypoalbuminemia, and previous administration of antibiotics were identified as independent risk factors for CDI. Presenting these 3 factors constitutes nearly 3-fold increase in the risk of becoming infected. A greater number of hospital admissions in the 4-12 weeks prior to CDI were found in the group of nosocomial acquisition. Although there was a greater tendency to recurrence and an unfavourable prognosis among nosocomial cases, these differences were not significant. We found that fever and hospital admission in the 4 weeks prior to infection were unfavourable prognostic factors of CDI. CONCLUSIONS: The independent risk factors for CDI were: Hospital admission in the 4 weeks prior to infection, hypoalbuminemia, and previous administration of antibiotics. Fever and hospitalisation in the previous 4 weeks were also identified as prognostic factors of unfavourable evolution.

Pandemic-related stress in pregnant women during the first COVID-19 lockdown and neonatal development.

BACKGROUND: Maternal stress and psychopathology have a negative effect on mothers and neonates. Maternal stress may affect neonatal growth and development both physically and psychologically. PURPOSE: To study the impact of pandemic-related pregnancy stress and maternal psychopathological symptoms during the COVID-19 lockdown in 2020 on neonatal development. METHODS: A two-phase prospective study was carried out on a sample of 181 pregnant women ranged from 18 to 40 years old in Spain (Europe). Phase 1: Pandemic-related pregnancy stress (PREPS), Prenatal Distress Questionnaire (PDQ), Perceived Stress Scale (PSS) and the revised version of the Symptom Checklist-90 (SCL-90-R) were used to assess psychological symptoms during the lockdown. In the follow-up (Phase 2), obstetric, birth-related and anthropometric variables were collected from 81 pregnant women-neonates dyads. RESULTS: Primiparous women showed higher psychopathological symptoms and higher levels of pandemic-related pregnancy stress than multiparous women. A multiple linear regression model showed that pandemic-related pregnancy stress could predict the length of neonate by adjusting for maternal age and gestational age, especially for primiparous women. IMPLICATIONS FOR RESEARCH: Studies assessing neonates development should evaluate the long-term effect of the COVID-19 pandemic on neonates´ length. IMPLICATIONS FOR PRACTICE: States the relation between pandemic-related pregnancy stress and neonatal development by being able to track the effects on neonates whose mothers had high levels of stress during the COVID-19 pandemic.

The COVID-19 Pandemic and Psychopathological symptoms in pregnant women in Spain.

BACKGROUND: During the COVID-19 pandemic, pregnant women are exposed to potentially harmful stressors that might affect their health. The direct consequences that SARS-CoV-2 may have on perinatal mental health are still unknown. OBJECTIVE: The present study aimed to explore the impact of the COVID-19 pandemic on psychopathological symptoms in a sample of Spanish pregnant women. METHODS: A sample of 186 pregnant women was assessed using the revised Symptoms Check List-90 during the first lockdown in Spain. RESULTS: The results showed clinical scores on the obsession and compulsion, anxiety and phobic anxiety subscales, as well as on the severity indexes. Phobic anxiety was the only variable that was inversely correlated with age and the number of previous miscarriages. A linear regression model showed that age was inversely associated with phobic anxiety scores. A younger age was associated with higher levels of phobic anxiety symptoms. CONCLUSIONS: Our results indicated that younger pregnant women and women in the first trimester of pregnancy were more vulnerable to the effects of stress and concerns about COVID-19.

Increased MRI-based Brain Age in chronic migraine patients.

INTRODUCTION: Neuroimaging has revealed that migraine is linked to alterations in both the structure and function of the brain. However, the relationship of these changes with aging has not been studied in detail. Here we employ the Brain Age framework to analyze migraine, by building a machine-learning model that predicts age from neuroimaging data. We hypothesize that migraine patients will exhibit an increased Brain Age Gap (the difference between the predicted age and the chronological age) compared to healthy participants. METHODS: We trained a machine learning model to predict Brain Age from 2,771 T1-weighted magnetic resonance imaging scans of healthy subjects. The processing pipeline included the automatic segmentation of the images, the extraction of 1,479 imaging features (both morphological and intensity-based), harmonization, feature selection and training inside a 10-fold cross-validation scheme. Separate models based only on morphological and intensity features were also trained, and all the Brain Age models were later applied to a discovery cohort composed of 247 subjects, divided into healthy controls (HC, n=82), episodic migraine (EM, n=91), and chronic migraine patients (CM, n=74). RESULTS: CM patients showed an increased Brain Age Gap compared to HC (4.16 vs -0.56 years, P=0.01). A smaller Brain Age Gap was found for EM patients, not reaching statistical significance (1.21 vs -0.56 years, P=0.19). No associations were found between the Brain Age Gap and headache or migraine frequency, or duration of the disease. Brain imaging features that have previously been associated with migraine were among the main drivers of the differences in the predicted age. Also, the separate analysis using only morphological or intensity-based features revealed different patterns in the Brain Age biomarker in patients with migraine. CONCLUSION: The brain-predicted age has shown to be a sensitive biomarker of CM patients and can help reveal distinct aging patterns in migraine.

Early detection of ocular lesions in critically ill children: Testing an ocular assessment scale.

OBJECTIVE: There is scarcity of data on the incidence and factors associated with the occurrence of ocular lesions in critically ill children. The objective was to test the applicability and utility of an ocular assessment scale and to identify risk factors of ocular lesions. DESIGN: Prospective observational study. SETTING: A tertiary care medical-surgical Paediatric Intensive Care Unit. SAMPLE: 194 children without previous ocular disease who stayed in the Paediatric Intensive Care Unit for more than 48 h. INTERVENTIONS: An ocular lesions risk scale was designed including risk factors lagophthalmos, eye dryness, conjunctival hyperemia, slow blinking, intubation, sedation, relaxation, face mask and hemodynamic instability. Patients were classified as high-, medium-, and low-risk patients. Corneal lesions were examined by fluorescein staining according to their risk and were confirmed by an ophthalmologist. RESULTS: 76 patients were examined with fluorescein staining. Thirty-two ocular lesions were detected by nursing staff, 26 confirmed by the ophthalmologist. 53.6% of the high-risk patients developed a corneal lesion. Univariate analysis revealed an association between ocular damage and all factors included in the scale, except for face mask. In the multivariate analysis, ocular lesions were associated with lagophthalmos, hyperemia, invasive mechanical ventilation and inotropic support. CONCLUSIONS: The scale was useful to detect corneal lesions in critically ill children. The identification of risk factors will enable the development of measures to reduce the incidence of ocular lesions. RELEVANCE FOR CLINICAL PRACTICE: A new, non-validated scale allowed staff to detect eye injuries, study this problem and improve future prevention.