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Owing to the large inter-subject variability, early post-stroke prognosis is challenging, and objective biomarkers that can provide further prognostic information are still needed. The relation between quantitative EEG parameters in pre-thrombolysis hyper-acute phase and outcomes has still to be investigated. Hence, possible correlations between early EEG biomarkers, measured on bedside wireless EEG, and short-term/long-term functional and morphological outcomes were investigated in thrombolysis-treated strokes. EEG with a wireless device was performed in 20 patients with hyper-acute (

Klinefelter syndrome (KS), also known as 47, XXY, shows increased mortality when compared with mortality rates among the general population. Cardiovascular, hemostatic, metabolic diseases are implicated. Moreover, cardiac congenital anomalies in KS can contribute to the increase in mortality.In this study, we have systematically reviewed the relationships between KS and the cardiovascular system and the management of cardiovascular complication. In summary, patients with KS display increased cardiovascular risk profile, characterized by increased prevalence of metabolic alterations including dyslipidemia, diabetes mellitus (DM), and abnormalities in biomarkers of cardiovascular disease. KS subjects are characterized by subclinical abnormalities in endothelial function and in left ventricular (LV) systolic and diastolic function, which - when associated with chronotropic incompetence - may negatively influence cardiopulmonary performance. Moreover, KS patients appear to be at a higher risk for cardiovascular disease, due to thromboembolic events with high prevalence of recurrent venous ulcers, venous insufficiency, recurrent venous and arterial thromboembolism leading to deep venous thrombosis or pulmonary embolism.Considering the unequivocal finding of increased mortality of KS patients, we suggest a periodic cardiovascular follow up in specialized centers with multidisciplinary care teams that comprise endocrinologists and cardiologists dedicated to KS syndrome.

STUDY QUESTION What is the sensitivity and the specificity of preoperative transvaginal ultrasound with bowel preparation (TVUS-BP) compared to diagnostic laparoscopy (DL) for the identification of ovarian and deep sites of endometriosis? SUMMARY ANSWER DL was able to detect retrocervical, ovarian, and bladder endometriosis with similar sensitivity and specificity as TVUS-BP, whereas for vaginal and rectosigmoid endometriosis, DL had lower sensitivity and specificity than TVUS-BP. WHAT IS KNOWN ALREADY TVUS-BP is a non-invasive examination with good accuracy for diagnosing ovarian and deep endometriosis. DL is expensive and can lead to surgical complications. STUDY DESIGN, SIZE, DURATION This prospective study included a total of 120 consecutive patients who underwent surgery for suspected endometriosis with preoperative imaging (TVUS-BP), including a video of the laparoscopic procedure, between March 2017 and September 2019. PARTICIPANTS/MATERIALS, SETTING, METHODS Two radiologists performed preoperative TVUS-BP using the same protocol for diagnosing endometriosis. Two surgeons, who were blinded to the results of the preoperative imaging and clinical data, reviewed the surgical videos from the entry of the abdominal cavity until the surgeon finalized a complete and systematic review prior to beginning any dissection (considered as a DL). A data sheet was used by surgeons and radiologists to record the sites and size of disease involvement, the American Society for Reproductive Medicine (ASRM) stage, and the Enzian score. The surgical visualization of endometriosis lesions that were confirmed by histological analysis was the gold standard. MAIN RESULTS AND THE ROLE OF CHANCE DL was able to detect retrocervical, ovarian, and bladder endometriosis with similar sensitivity and specificity as TVUS-BP. DL was not able to detect vaginal endometriosis (sensitivity and specificity 0%): this is compared to a sensitivity and specificity of 85.7% and 99.1%, respectively with the utilization of a preoperative TVUS-BP. In addition, DL was notably poor at detecting rectosigmoid endometriosis, with a sensitivity of 3.7–5.6%, and this compares to 96.3% sensitivity with utilization of a preoperative TVUS (P LIMITATIONS, REASONS FOR CAUTION The number of participants included may be a limitation in this study and, as the evaluators were blinded to the physical exam, the DL accuracy could be underestimated. As biopsies of pelvic organs were obtained only if there was a suspicion of endometriosis, the gold standard was not always applicable. This aspect could underestimate the prevalence of lesions and overestimate the sensitivity and the specificity of both the TVUS-BP and the DL. WIDER IMPLICATIONS OF THE FINDINGS Preoperative TVUS-BP was accurate in identifying all sites of ovarian and deep endometriosis that were evaluated. It had significantly higher sensitivity than DL in detecting rectosigmoid endometriosis and predicting intraoperative ASRM staging and the Enzian score. These results suggest that TVUS-BP can replace DL for the diagnosis and treatment planning for patients with ovarian and deep endometriosis. STUDY FUNDING/COMPETING INTEREST(S) The authors declare no source of funding or conflicts of interest. TRIAL REGISTRATION NUMBER N/A

Health-care strategies are currently oriented towards non-invasive techniques for an early diagnosis. The chemical analysis seems to be a good answer to accomplish both prevention, a fundamental requirement for an efficient treatment of the disease, and non-invasivity. GC is very accurate but is expensive; its sampling and assaying processes are complicated and time consuming, while its results require expert interpretation. Over the last decade, "electronic sensing" or "e-sensing" technologies have undergone some important developments from both a technical and commercial point of view. Particularly, in recent years, the usefulness of the electronic nose has been clinically proved as an opportunity for the early detection of such diseases as lung cancer, diabetes, and tuberculosis. In this paper, a portable, versatile and inexpensive system for the measurement of gas concentration through a gas sensor array is described. The system uses low cost metal oxide gas transducers and can automatically compensate the values of gas concentration detected according to the current values of temperature and humidity. The device works in slave mode and its acquired and computed data are available by means of a host/slave ASCII serial communication protocol. A host device can periodically require the current values of gas concentration and apply the appropriate algorithms for the detection of the investigated substances.

It is well known that the initial field of use of Unmanned Aircraft Systems (UAS, commonly known as drones) was the military one, but nowadays they are used in a huge number of civilian tasks such as agriculture, cinematography, and on demand transport of goods and services and many other applications are in development. Particularly, the healthcare area is a prime concern, and during the Covid-19 pandemic the considerable potential of drones was highlighted both in terms of contrasting and overcoming the emergency. Indeed, their applications included monitoring for prevention, sanitization, and transfer (deliveries / collections) of material without approaching between operators and users of the service. This paper presents the service for equipment delivery by drone remotely operated, performed using drones for the delivery or picking up of small and medium-sized objects to/from the home of people subjected to quarantine. The users of these services can include all those who are affected by pathologies similar to the pandemic disease Covid-19 and who are forced into quarantine situations, finding themselves in an asymptomatic or symptomatic state.

This paper describes a configuration of drone swarm that can be used in support of the actions to limit the virus spread during a pandemic period, such as the COVID-19 emergency. The proposed study analyzes a system architecture for the identification of individuals affected by the virus, estimating their biomedical parameters. The presented method exploits different techniques, such as stereoscopy vision, thermal measures and remote photoplethysmography, to acquire standalone data that can be compared to evaluate the target risk. The tested solutions are proposed to measure the social distancing among multiple individuals, the skin temperature of a target person, and the image photoplethysmography signal, that are critical parameters to detect a potentially infect individual during the COVID-19 pandemic. Different test strategies were adopted to carry out the mentioned tasks. To measure the distance between target individuals, two drones equipped with visible band cameras were employed. To measure the skin temperature of a target, a drone equipped with a thermal camera was adopted, performing measures at different distances and heights. To obtain the image photoplethysmography signal, a video file from drone camera is processed. Image processing techniques are required to elaborate the data coming from several images and videos acquired by drones. Comparing the measures, altered biomedical parameters of several targets can be detected and later tested with medical equipment.

Background Parathyroid carcinoma is a rare endocrine malignancy, rarer when synchronous with a non medullary well differentiated thyroid carcinoma. Parathyroid carcinoma accounts of 0.005% of all malignant tumors and it is responsible for less than 1% of primary hyperparathyroidism. The intrathyroidal localization of a parathyroid gland is not frequent with a reported prevalence of 0.2%. Carcinoma of parathyroids with intrathyroidal localization represents an even rarer finding, reported in only 16 cases described in literature. The rare constellation of synchronous parathyroid and thyroid carcinomas has prompted us to report our experience and perform literature review. Case presentation We herein report a case of a 63-years-old man with multinodular goiter and biochemical diagnosis of hyperparathyroidism. Total thyroidectomy with radio-guide technique using gamma probe after intraoperative sesta-MIBI administration and intraoperative PTH level was performed. The high radiation levels in the posterior thyroid lobe discovered an intrathyroidal parathyroid. Microscopic examination revealed a parathyroid main cell carcinoma at the posterior thyroidal left basal lobe, a classic papillary carcinoma at the same lobe and follicular variant of papillary carcinoma at the thyroidal right lobe. To the best of our knowledge, this is the first case documenting a synchronous multicentric non medullary thyroid carcinomas and intrathyroidal parathyroid carcinoma. Conclusions Our experience was reported and literature review underlining challenging difficulties in diagnostic workup and surgical management was carried out.

In-line free propagation phase-contrast synchrotron tomography of the lungs has been shown to provide superior image quality compared with attenuation-based computed tomography (CT) in small-animal studies. The present study was performed to prove the applicability on a human-patient scale using a chest phantom with ventilated fresh porcine lungs. Local areas of interest were imaged with a pixel size of 100 µm, yielding a high-resolution depiction of anatomical hallmarks of healthy lungs and artificial lung nodules. Details like fine spiculations into surrounding alveolar spaces were shown on a micrometre scale. Minor differences in artificial lung nodule density were detected by phase retrieval. Since we only applied a fraction of the X-ray dose used for clinical high-resolution CT scans, it is believed that this approach may become applicable to the detailed assessment of focal lung lesions in patients in the future.

Leukodystrophies are a group of neurodegenerative genetic disorders that affect approximately 1 in 7500 individuals. Despite therapeutic progress in individual leukodystrophies, guidelines in neurologic care are sparse and consensus among physicians and caregivers remains a challenge. At patient advocacy meetings hosted by Hunter’s Hope from 2016-2018, multidisciplinary experts and caregivers met to conduct a literature review, identify knowledge gaps and summarize best practices regarding neurologic care. Stages of severity in leukodystrophies guided recommendations to address different levels of need based on a newly defined system of disease severity. Four core neurologic domains prioritized by families were identified and became the focus of this guideline: sleep, pain, seizures/epilepsy, and language/cognition. Based on clinical severity, the following categories were used: presymptomatic, early symptomatic, intermediate symptomatic, and advanced symptomatic. Across the leukodystrophies, neurologic care should be tailored to stages of severity while accounting for unique aspects of every disease and multiple knowledge gaps present. Standardized tools and surveys can help guide treatment but should not overburden families.

Background Idiopathic toe walking (ITW) is an exclusionary diagnosis resulting in a child walking on the balls of their feet. Preferred treatment options may be due to the severity of the toe or the health professional preference There are limited guidelines supporting consistent treatment recommendations for this condition. This research aimed to understand agreement between health professionals' knowledge of evidence for common treatment strategies for ITW and if health professionals supported these strategies being used in clinical practice. Methods An international online survey was opened to registered health professionals who treat children with ITW between July 2017 and March 2018. The survey had two components: (a) demographic variables and variables relating to knowledge of evidence about ITW treatments and (b) support for common treatment strategies. Additional data on strategy use, referrals, and preference were collected. Kappa statistics described intra-rater agreement between evidence knowledge and support. Multivariable regression analyses identified factors associated with the 10 most commonly preferred treatments. Results There were 908 international responses. Kappa agreement for paired correct responses determined a fair agreement for evidence support knowledge for four strategies including watch and wait (Kappa = 0.24), stretching (Kappa = 0.30), sensory integration strategies (Kappa = 0.40), and motor control strategies (Kappa = 0.24) and moderate responses for 13 others. No strategies had greater than moderate agreement between correct knowledge of evidence and strategy support. Profession, location, number of children seen in practice, and not correctly identifying the evidence factored into many of the most commonly used strategies for ITW (p Conclusions The results from this study, which confirm a variety of interventions, are utilized in the management of ITW around the world. Furthermore, there remains a disconnection between paediatric health professionals' understanding of the evidence of common treatment strategies of ITW and a consensus for the treatment of this condition.

Motor-Imagery based BCI (MI-BCI) neurorehabilitation can improve locomotor ability and reduce the deficit symptoms in Parkinson's Disease patients. Advanced Motor-Imagery BCI methods are needed to overcome the accuracy and time-related MI BCI calibration challenges in such patients. In this study, we proposed a Multi-session FBCSP (msFBCSP) based on inter-session transfer learning and we investigated its performance compared to the single-session based FBSCP. The main result of this study is the significantly improved accuracy obtained by proposed msFBCSP compared to single-session FBCSP in PD patients (median 81.3%, range 41.2-100.0% vs median 61.1%, range 25.0-100.0%, respectively; p

Temporal bone fractures are a common lesion of the base of the skull. The diagnosis and management of temporal bone fractures require a multidisciplinary approach. Variable clinical presentations may arise from such fractures, ranging from an asymptomatic course to very serious consequences. The aim of this study was to report our experience with a series of patients with temporal bone fractures and to propose a diagnostic/therapeutic algorithm. This study enrolled 141 patients, 96 (68.1%) males and 45 (31.9%) females, ranging in age from 20 to 60 (average age: 39 &plusmn, 4.1 years), with temporal bone fractures who were referred to Cardarelli Hospital between 2006 and 2018. The present paper presents a classification of temporal bone fractures and typical clinical sequelae and provides an illustration of their prognosis and treatment.

Background. Chronic cough is a disabling condition with a high proportion of diagnostic and therapeutic failures. Fractional exhaled nitric oxide (FeNO) has been considered a useful biomarker for predicting inhaled corticosteroids (ICS) response. We evaluated the relationship between FeNO and ICS response in chronic cough by performing a systematic review with meta-analysis. Methods. PubMed, Web of Science, Scopus and EMBASE databases were systematically searched. Differences were expressed as Odds Ratio (OR) with 95% confidence intervals (95%CI). Pooled sensitivity, specificity, positive (PLR) and negative likelihood ratio (NLR), and area under the hierarchical summary receiver operating characteristic curve (HSROCAUC) were estimated. Results. Nine articles on 740 chronic-cough patients showed that the response rate to ICS was 87.4% (95%CI: 83.8–91.0) in 317 patients with a high FeNO and 46.3% (95%CI: 41.6–51.0) in 423 controls, with an attributable proportion of 47.0% and a diagnostic OR of 9.1 (95%CI: 3.7–22.4, p < .001). The pooled estimate of diagnostic indexes resulted in a sensitivity of 68.5% (95%CI: 46.7–84.4) and specificity of 81.9% (95%CI: 63.0–92.3), with a HSROCAUC of 0.82 (95%CI: 0.64–0.90). In a realistic scenario with a pre-test probability set at 30%, based on a pooled PLR of 3.79 (95%CI: 1.24–7.47) and NLR of 0.38 (95%CI: 0.22–0.66), the post-test probability was 62% with a high FeNO and 14% if the test was negative. Subgroup analyses confirmed a better performance for the recommended FeNO cut-off greater than 25 ppb. Meta-regression and sensitivity analyses showed no impact of major demographic and clinic variables on results. Conclusions. A high FeNO before starting ICS therapy may help identify chronic-cough patients responding to treatment, with a better performance ofhigher cut-off values. Further studies are needed to evaluate the real usefulness of this biomarker to guide cough therapy and optimise strategies in different healthcare settings (community, hospital, rehabilitation).Key messagesChronic cough is a disabling condition with a high proportion of diagnostic and therapeutic failures.Fractional exhaled nitric oxide (FeNO) may be a useful biomarker for identifying chronic cough patients who respond to steroid treatment.A FeNO cut-off lower than 25 ppb should be considered irrelevant for this clinical application. Chronic cough is a disabling condition with a high proportion of diagnostic and therapeutic failures. Fractional exhaled nitric oxide (FeNO) may be a useful biomarker for identifying chronic cough patients who respond to steroid treatment. A FeNO cut-off lower than 25 ppb should be considered irrelevant for this clinical application.

Background Sublingual varices (SV) are dilatations of tortuous veins that increased with age. Previous studies showed that this pathology could be correlated to some risk factors such as hypertension, age, gender and diabetes mellitus. In this study we evaluated, on a large number of subjects, the relationship between SV and different grades of hypertension as well as some risk factors extending the analysis to new risk factors such as dyslipidemia, obesity and antihypertensive therapy, modelling a possible dependence of SV on all these factors. Methods In the study 1008 subjects, 284 with and 724 without SV, were examined. The blood pressure was measured in office condition and, to exclude subjects with white coat syndrome or masked hypertension, also using a 24 h Holter pressure monitor. Hypertensive subjects were divided in resistant, drugs controlled (compensated) and patients with prior unknown hypertension (new diagnosed) groups. The presence or absence of SV as well as of the risk factors was assessed clinically. We tested the influence of age on the presence of SV by using the chi-square test and the relation between each risk factor and SV by the Cochran–Mantel–Haenszel test. Finally, we carried out a multivariate regression tree analysis in order to predict the presence of SV. Results We confirmed the influence of age on SV and found a significant relationship between SV and both the compensated and resistant hypertension grades. We highlighted a relationship between SV and dyslipidemia in subjects with new diagnosed hypertension, and between SV and smoking in subjects with compensated hypertension grade. The regression tree showed a classification accuracy of about 75% using as variables hypertension grades, age and antihypertensive treatment. Conclusions We confirmed the SV dependence on age, resistant hypertension and smoking, highlighting a new association with dyslipidemia in new diagnosed hypertensive subjects and new relations depending on the hypertension grades. Thus, the SV inspection could be used to suggest a lipidologist as well as a hypertension specialist visit for a pharmacological and pressure check particularly in subjects presenting SV and dyslipidemia. However, further parameters are to be considered to improve the sensitivity of the prognostic tree model.

The discovery that the polypeptide chain has a remarkable and intrinsic propensity to form amyloid-like aggregates endowed with an extraordinary stability is one of the most relevant breakthroughs of the last decades in both protein/peptide chemistry and structural biology. This observation has fundamental implications, as the formation of these assemblies is systematically associated with the insurgence of severe neurodegenerative diseases. Although the ability of proteins to form aggregates rich in cross-β structure has been highlighted by recent studies of structural biology, the determination of the underlying atomic models has required immense efforts and inventiveness. Interestingly, the progressive molecular and structural characterization of these assemblies has opened new perspectives in apparently unrelated fields. Indeed, the self-assembling through the cross-β structure has been exploited to generate innovative biomaterials endowed with promising mechanical and spectroscopic properties. Therefore, this structural motif has become the fil rouge connecting these diversified research areas. In the present review, we report a chronological recapitulation, also performing a survey of the structural content of the Protein Data Bank, of the milestones achieved over the years in the characterization of cross-β assemblies involved in the insurgence of neurodegenerative diseases. A particular emphasis is given to the very recent successful elucidation of amyloid-like aggregates characterized by remarkable molecular and structural complexities. We also review the state of the art of the structural characterization of cross-β based biomaterials by highlighting the benefits of the osmosis of information between these two research areas. Finally, we underline the new promising perspectives that recent successful characterizations of disease-related amyloid-like assemblies can open in the biomaterial field.

Purpose We aimed to verify if 1 year-testosterone-replacement therapy could produce a psychopathological recovery and a satisfactory quality of life in Klinefelter syndrome (KS) patients compared to matched healthy controls. Further, we analyzed personality traits and coping strategies, an issue not yet examined in androgen-treated KS patients. We also enquired whether any of the sociodemographic and psychological variables might predict a patient’s general and sexual life satisfaction. Methods The Quality of Life Enjoyment and Satisfaction Questionnaire and the Temperament and Character Inventory-Revised were administered to both 23 KS patients and matched healthy subjects. Psychopathology was investigated by the Symptom Checklist-90-Revised (SCL-90-R) and the Mini-mental State Examination. The COPE Inventory was used to identify cognitive and behavioral strategies to manage disease-related distress. Results In testosterone-treated KS patients, when compared with controls, SCL-90-R subscales analysis evidenced high psychological distress, mainly presented as obsessive thoughts, hanger-hostility, phobias, and psychoticism. Self-directedness and self-transcendence, along with the prevalent use of emotion-focused coping strategies, outlined the personality of our KS patients. Depression and somatization proved to be predictors of general life dissatisfaction. Depression, anger-hostility, and paranoid ideation, instead, emerged as predictors of sexual life dissatisfaction. Conclusion Endocrinologists should cooperate with mental health providers to foster a better outcome of the disease in KS patients.

Hypothermic oxygenated machine perfusion (HOPE) has the potential to counterbalance the detrimental consequences of cold and warm ischemia time (WIT) in both donation after brain death (DBD) and donation after circulatory death (DCD). Herein we investigated the protective effects of HOPE in extended criteria donor (ECD) DBD and overextended WIT DCD grafts. The present retrospective case series included 50 livers subjected to end-ischemic HOPE or dual DHOPE in 2 liver transplantation (LT) centers from January 2018 to December 2019. All DCD donors were subjected to normothermic regional perfusion before organ procurement. Results are expressed as median (interquartile range [IQR]). In the study period, 21 grafts were derived from overextended WIT DCD donors (total WIT 54 [IQR, 40-60] minutes and 75% classified as futile), whereas 29 were from ECD DBD. A total of 3 biliary complications and 1 case of ischemia-type biliary lesion were diagnosed. The rate of early allograft dysfunction (EAD) was 20%, and those patients had higher Comprehensive Complication Index scores. Through a changing point analysis, cold preservation time >9 hours was associated with prolonged hospital stays (P=0.02), higher rates of EAD (P=0.009), and worst post-LT complications (P=0.02). Logistic regression analyses indicated a significant relationship between cold preservation time and EAD. No differences were shown in terms of the early post-LT results between LTs performed with DCD and DBD. Overall, our data are fully comparable with benchmark criteria in LT. In conclusion, the application of DHOPE obtained satisfactory and promising results using ECD-DBD and overextended DCD grafts. Our findings indicate the need to reduce cold preservation time also in the setting of DHOPE, particularly for grafts showing poor quality.

Brain electrical activity in acute ischemic stroke is related to the hypoperfusion of cerebral tissue as manifestation of neurovascular coupling. EEG could be applicable for bedside functional monitoring in emergency settings. We aimed to investigate the relation between hyper-acute ischemic stroke EEG changes, measured with bedside wireless-EEG, and hypoperfused core-penumbra CT-perfusion (CTP) volumes. In addition, we investigated the association of EEG and CTP parameters with neurological deficit measured by NIHSS. We analyzed and processed EEG, CTP and clinical data of 31 anterior acute ischemic stroke patients registered within 4.5 h from symptom onset. Delta/alpha ratio (DAR), (delta + theta)/(alpha + beta) ratio (DTABR) and relative delta power correlated directly (ρ = 0.72; 0.63; 0.65, respectively), while alpha correlated inversely (ρ = − 0.66) with total hypoperfused volume. DAR, DTBAR and relative delta and alpha parameters also correlated with ischemic core volume (ρ = 0.55; 0.50; 0.59; − 0.51, respectively). The same EEG parameters and CTP volumes showed significant relation with NIHSS at admission. The multivariate stepwise regression showed that DAR was the strongest predictor of NIHSS at admission (p < 0.001). The results of this study showed that hyper-acute alterations of EEG parameters are highly related to the extent of hypoperfused tissue highlighting the value of quantitative EEG as a possible complementary tool in the evaluation of stroke severity and its potential role in acute ischemic stroke monitoring.

Purpose The fear of COVID-19 infection may discourage patients from going to the hospital even in case of sudden onset of disabling symptoms. There is growing evidence of the reduction of stroke admissions and higher prevalence of severe clinical presentation. Yet, no studies have investigated the perfusion pattern of acute strokes admitted during the lockdown. We aimed to evaluate the effects of the COVID-19 pandemic on hyper-acute stroke CT perfusion (CTP) pattern during the first months of the pandemic in Italy. Methods In this retrospective observational study, we analyzed CTP images and clinical data of ischemic stroke patients admitted between 9 March and 2 June 2020 that underwent CTP (n = 30), to compare ischemic volumes and clinical features with stroke patients admitted during the same period in 2019 (n = 51). In particular, CTP images were processed to calculate total hypoperfused volumes, core volumes, and mismatch. The final infarct volumes were calculated on follow-up CT. Results Significantly higher total CTP hypoperfused volume (83.3 vs 18.5 ml, p = 0.003), core volume (27.8 vs 1.0 ml, p < 0.001), and unfavorable mismatch (0.51 vs 0.91, p < 0.001) were found during the COVID-19 period compared to no-COVID-19 one. The more unfavorable perfusion pattern at admission resulted in higher infarct volume on follow-up CT during COVID-19 (35.5 vs 3.0 ml, p < 0.001). During lockdown, a reduction of stroke admissions (− 37%) and a higher prevalence of severe clinical presentation (NIHSS ≥ 10; 53% vs 36%, p = 0.029) were observed. Conclusion The results of CTP analysis provided a better insight in the higher prevalence of major severity stroke patients during the COVID-19 period.

BACKGROUND: The worldwide lockdown in response to COVID-19 pandemics has often led to physical inactivity and social distancing. When combined, these factors may affect quality and life and increase the risk of different diseases. Therefore, assessment of physical activity levels should be encouraged to monitor and identify those at a higher risk of inactivity. Smart technology is a promising tool to assess physical activity and health, and may be particularly useful during a period of general lockdown. METHODS: An online survey was developed and shared among the Italian general population to collect data about physical activity and daily routine changes between January 2020 and the lockdown period from 23rd to 29th of March. Participants were asked to provide data such as daily step count (Steps) or heart rate (HR) measured and collected by their smart technology devices. RESULTS: Four hundred participants were included in the final analysis. During the lockdown, the number of steps dropped from 8,284±4,390 to 3,294±3,994 steps (p< 0.001), while mean peak HR decreased from 61.3±18.2% to 55.9±17.3% (p< 0.001). CONCLUSIONS: These findings provide objective data about the effects of the COVID-19 lockdown on physical activity, thus encouraging the use of smart devices to monitor and promote healthy lifestyles while faced with a confinement condition.

Background: When it comes to critical early post-acute TIA/stroke phase, there is a lack of a comprehensive multi-parametric telemonitoring system. The COVID-19 emergency, its related global mobility restrictions and fear of hospitalization further highlighted the need of a comprehensive solution. Objective: We aimed to design and test a pragmatic e-Health system based on multiparametric telemonitoring to support of TIA/stroke patients in sub-acute phase during the COVID-19 pandemic. Methods: We proposed a telemonitoring system and protocol for TIA/minor stroke patients during COVID-19 pandemic for patients at risk of stroke recurrence. This system involves the use of portable devices for BP/HR/SpO2/temperature sensing, panic-button, gateway, and a dedicated ICT platform. The protocol is a 14-day multiparametric telemonitoring, therapy, and emergency intervention based on vital sign alteration notifications. We conducted a proof-of-concept validation test on 8 TIA/minor stroke patients in the early post-acute phase (< 14 days from ischemic event). Results: The proposed solution allowed to promptly and remotely identify vital sign alterations at home during the early post-acute phase, allowing therapy and behavioral intervention adjustments. Also, we observed a significant improvement of quality of life, as well as a significant reduction of anxiety and depression status. TUQ showed ease of use, good interface quality and high user satisfaction of the proposed solution. The 3-month follow-up showed total adherence of prescribed therapy and no stroke/TIA recurrence or other emergency department admissions. Conclusion: The proposed e-Health solution and telemonitoring protocol may be highly useful for early post-acute remote patient management, thus supporting constant monitoring and patient adherence to the treatment pathway, especially during the COVID-19 emergency.

Laryngectomized patients showed an unconventional response to SARS‐CoV‐2 viral infection. Here, we describe five different patient cases along with our interpretation of the phenomena and suggestions for their safe management.

Ischemic heart disease (IHD), particularly in its chronic stable form, is a subtle pathology due to its silent behavior before developing in unstable angina, myocardial infarction or sudden cardiac death. Machine learning techniques applied to parameters extracted form heart rate variability (HRV) signal seem to be a valuable support in the early diagnosis of some cardiac diseases. However, so far, IHD patients were identified using Artificial Neural Networks (ANNs) applied to a limited number of HRV parameters and only to very few subjects. In this study, we used several linear and non-linear HRV parameters applied to ANNs, in order to confirm these results on a large cohort of 965 sample of subjects and to identify which features could discriminate IHD patients with high accuracy. By using principal component analysis and stepwise regression, we reduced the original 17 parameters to five, used as inputs, for a series of ANNs. The highest accuracy of 82% was achieved using meanRR, LFn, SD1, gender and age parameters and two hidden neurons.

The diagnosis of heart diseases is a difficult task generally addressed by an appropriate examination of patients’ clinical data. Recently, the use of heart rate variability (HRV) analysis as well as of some machine learning algorithms, has proved to be a valuable support in the diagnosis process. However, till now, ischemic heart disease (IHD) has been diagnosed on the basis of Artificial Neural Networks (ANN) applied only to signs, symptoms and sequential ECG and coronary angiography, an invasive tool, while could be probably identified in a non-invasive way by using parameters extracted from HRV, a signal easily obtained from the ECG. In this study, 18 non-invasive features (age, gender, left ventricular ejection fraction and 15 obtained from HRV) of 243 subjects (156 normal subjects and 87 IHD patients) were used to train and validate a series of several ANN, different for number of input and hidden nodes. The best result was obtained using 7 input parameters and 7 hidden nodes with an accuracy of 98.9% and 82% for the training and validation dataset, respectively.

Purpose: To evaluate interobserver agreement in the interpretation of different MRI features of uterine leiomyomas (UL) according to observers’ experience, and to assess the inter-method reproducibility (MRI versus surgery) regarding the International Federation of Gynecology and Obstetrics (FIGO) classification. Methods: Retrospective study including UL patients who underwent MRI and surgical treatment. Four blinded observers (2 vs >10 years of experience) assessed UL regarding dimensions and volume; inner and outer mantles; FIGO classification; vascularization; degeneration; and diffusion-weighted imaging features. Uterine dimensions and volume were calculated. FIGO classification as ascertained by observers was compared to surgical findings. Intraclass correlation coefficient (ICC) estimates were used for interobserver comparison of numerical variables, and kappa statistic for categorical variables. Results: Thirty-five patients (26y-73y) with 61 UL were included in the interobserver analyses, and 31 patients (54 UL) had available data allowing retrospective surgical FIGO classification for assessment of inter-method reproducibility. Both groups of observers had good to excellent agreement in assessing UL (ICC = 0.980-0.994) and uterine volumes (ICC = 0.857-0.914), mantles measurement (ICC = 0.797-0.920), and apparent diffusion coefficient calculation (ICC = 0.787-0.883). There was substantial agreement for both groups regarding FIGO classification (κ = 0.645-0.767). Vascularization, degeneration and restricted diffusion had lower agreement, varying from reasonable to moderate. Inter-method agreement was reasonable (κ = 0.341-0.395). Conclusions: Interobserver agreement of MRI for UL was higher for quantitative than qualitative features, with a little impact of observers’ experience for most features. MRI agreement with surgery was reasonable. Further efforts should be taken to improve interobserver and inter-method reproducibility for MRI in this scenario.

Objective To evaluate the association of two-dimensional (2D) and three-dimensional (3D) transvaginal ultrasound (TVUS) findings with adenomyosis symptoms. Methods This prospective study conducted between January and December 2018 enrolled 78 women aged 18 to 40 years with abnormal uterine bleeding (AUB), infertility, and/or pelvic pain. All patients underwent 2D and 3D TVUS. Signs of adenomyosis on TVUS were identified according to the consensus of the Morphological Uterus Sonographic Assessment group. Results The prevalence of adenomyosis on TVUS was 55.12%. Patients with adenomyosis were older (p=0.002) and had more dysmenorrhea, AUB, and endometriosis than those without adenomyosis. When comparing the presence of symptoms with each adenomyosis feature, on 2D TVUS, severe dyspareunia was significantly associated with the presence of a poorly defined junctional zone (JZ) (p=0.023) and on 3D TVUS, patients with AUB had a more irregular (p=0.003), poorly defined (p=0.028), and interrupted JZ (p=0.011). After logistic regression analysis, signs of adenomyosis on TVUS remained significantly associated only with age over 30 years (OR: 1.2; 95% CI: 1.0-1.2) and AUB (OR: 7.65; 95% CI: 2-29). Patients with diffuse adenomyosis were older and presented with more infertility and AUB than patients with focal or no adenomyosis. Conclusion The findings of adenomyosis by 2D and 3D TVUS showed association with age and AUB. 3D TVUS alterations in the JZ were associated with AUB and dyspareunia. Diffuse adenomyosis was associated with older age, a greater prevalence of infertility, and AUB.

Background/Purpose: Post-operative delirium leads to significant morbidity in elderly patients, yet there is no regimen to prevent POD. Opioid use in the elderly surgical population is of the most significant risk factors for developing POD. The purpose of this scoping review is to recognize that Dexmedetomidine mitigates cognitive dysfunction secondary to acute pain and the use of narcotic analgesia by decreasing the amount of norepinephrine (an excitatory neurotransmitter) released during times of stress. This mechanism of action also provides analgesia through decreased perception and modulation of pain. Methods: The authors developed eligibility criteria for inclusion of articles and performed a systematic search of several databases. Each of the authors initially selected five articles for inclusion in the scoping review. We created annotated literature tables for easy screening by co-authors. After reviewing the annotated literature table four articles were excluded, leaving 11 articles for inclusion in the scoping review. There were six level I meta-analysis/systematic reviews, four level II randomized clinical trials, and one level IV qualitative research article. Next, we created a data-charting form on Microsoft Word for extraction of data items and synthesis of results. Results: Two of the studies found no significant difference in POD between dexmedetomidine groups and control groups. The nine remaining studies noted decreases in the rate, duration, and risk of POD in the groups receiving dexmedetomidine either intraoperatively or postoperatively. Multiple studies found secondary benefits in addition to decreased POD, such as a reduction of tachycardia, hypertension, stroke, hypoxemia, and narcotic use. One study, however, found that the incidence of hypotension and bradycardia were increased among the elderly population. Implications for Nursing Practice: Surgery is a tremendous stressor in any age group, but especially the elderly population. It has been shown postoperative delirium occurs in 17-61% of major surgery procedures with 30-40% of the cases assumed to be preventable. Opioid administration in the elderly surgical population is one of the most significant risk factors for developing POD. With anesthesia practice already leaning towards opioid-free and opioid-limited anesthetic, the incorporation of dexmedetomidine could prove to be a valuable resource in both reducing opioid use and POD in the elderly surgical population. Although more research is needed, the current evidence is promising.

Background Opioid analgesia has become the mainstay for acute pain management in the postoperative setting. However, the use of opioid medications comes with significant risks and side effects. Due to increasing numbers of prescriptions to those with chronic pain, opioid medications have become more expensive while becoming less effective due to the buildup of patient tolerance. The idea of opioid-free analgesic techniques has rarely been breached in many hospitals. Emerging research has shown that opioid-sparing approaches have resulted in lower reported pain scores across the board, as well as significant cost reductions to hospitals and insurance agencies. In addition to providing adequate pain relief, the predicted cost burden of an opioid-free or opioid-sparing approach is significantly less than traditional methods. Methods The following groups were considered in our inclusion criteria: those who speak the English language, all races and ethnicities, male or female, home medications, those who are at least 18 years of age and able to provide written informed consent, those undergoing inpatient or same-day surgical procedures. In addition, our scoping review includes the following exclusion criteria: those who are non-English speaking, those who are less than 18 years of age, those who are not undergoing surgical procedures while admitted, those who are unable to provide numeric pain score due to clinical status, those who are unable to provide written informed consent, and those who decline participation in the study. Data was extracted by one reviewer and verified by the remaining two group members. Extraction was divided as equally as possible among the 11 listed references. Discrepancies in data extraction were discussed between the article reviewer, project editor, and group leader. Results We identified nine primary sources addressing the use of ketamine as an alternative to opioid analgesia and post-operative pain control. Our findings indicate a positive correlation between perioperative ketamine administration and postoperative pain control. While this information provides insight on opioid-free analgesia, it also revealed the limited amount of research conducted in this area of practice. The strategies for several of the clinical trials limited ketamine administration to a small niche of patients. The included studies provided evidence for lower pain scores, reductions in opioid consumption, and better patient outcomes. Implications for Nursing Practice Based on the results of the studies’ randomized controlled trials and meta-analyses, the effects of ketamine are shown as an adequate analgesic alternative to opioids postoperatively. The cited resources showed that ketamine can be used as a sole agent, or combined effectively with reduced doses of opioids for multimodal therapy. There were noted limitations in some of the research articles. Not all of the cited studies were able to include definitive evidence of proper blinding techniques or randomization methods. Small sample sizes and the inclusion of specific patient populations identified within several of the studies can skew data in one direction or another; therefore, significant clinical results cannot be generalized to patient populations across the board.

Purpose/Background Direct laryngoscopy and endotracheal intubation after induction of anesthesia can cause a reflex sympathetic surge of catecholamines caused by airway stimulation. This may cause hypertension, tachycardia, and arrhythmias. This reflex can be detrimental in patients with poor cardiac reserve and can be poorly tolerated and lead to adverse events such as myocardial ischemia. Fentanyl, a potent opioid, with a rapid onset and short duration of action is given during induction to block the sympathetic response. With a rise in the opioid crisis and finding ways to change the practice in medicine to use less opioids, dexmedetomidine, an alpha 2 adrenergic agonist, can decrease the release of norepinephrine, has analgesic properties, and can lower the heart rate. Methods In this scoping review, studies published between 2009 and 2021 that compared fentanyl and dexmedetomidine during general anesthesia induction and endotracheal intubation of surgical patients over the age of 18 were included. Full text, peer-reviewed studies in English were included with no limit on country of study. The outcomes included post-operative reviews of decrease in pain medication usage and hemodynamic stability. Studies that were included focused on hemodynamic variables such as systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, and use of opioids post-surgery. Result Of 2,114 results from our search, 10 articles were selected based on multiple eligibility criteria of age greater than 18, patients undergoing endotracheal intubation after induction of general anesthesia, and required either a dose of dexmedetomidine or fentanyl to be given prior to intubation. Dexmedetomidine was shown to effectively attenuate the sympathetic surge during intubation over fentanyl. Dexmedetomidine showed a greater reduction in heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure than fentanyl, causing better hemodynamic stability in patients undergoing elective surgery.Implications for Nursing Practice Findings during this scoping review indicate that dexmedetomidine is a safe and effective alternative to fentanyl during induction of general anesthesia and endotracheal intubation in attenuating the hemodynamic response. It is also a safe choice for opioid-free anesthesia.

Purpose/Background: Postoperative nausea and vomiting (PONV) is a frequent complaint in the postoperative period, which can delay discharge, result in readmission, and increase cost for patients and facilities. Inducing paralysis is common in anesthesia, as is utilizing the drugs neostigmine and sugammadex as reversal agents for non-depolarizing neuromuscular blockers. Many studies are available that compare these two drugs to determine if neostigmine increases the risk of PONV over sugammadex. Sugammadex has a more favorable pharmacologic profile and may improve patient outcomes by reducing PONV. Methods: This review included screening a total of 39 studies and peer-reviewed articles that looked at patients undergoing general anesthesia who received non-depolarizing neuromuscular blockers requiring either neostigmine or sugammadex for reversal, along with their respective PONV rates. 8 articles were included, while 31 articles were removed based on our exclusion criteria. These were published between 2014 and 2020 exclusively. The key words used were “neostigmine”, “sugammadex”, “PONV”, along with combinations “paralytic reversal agents and PONV”. This search was performed on the scholarly database MEDLINE. The data items were PONV rates in neostigmine group, PONV rates in sugammadex group, incidence of postoperative analgesic consumption in neostigmine group, and incidence of postoperative analgesic consumption in sugammadex group. Results: Despite numerical differences being noted in the incidence of PONV with sugammadex over reversal with neostigmine, there did not appear to be any statistically significant data in the multiple peer-reviewed trials included in our review, for not one of the 8 studies concluded that there was a higher incidence of PONV in one drug or the other of an y clinical relevance. Although the side-effect profile tended to be better in the sugammadex group than neostigmine in areas other than PONV, there was not sufficient evidence to conclude that one drug was superior to the other in causing a direct reduction of PONV. Implications for Nursing Practice: There were variable but slight differences noted between both drug groups in PONV rates, but it remained that none of the studies determined it was statically significant or clinically conclusive. This review did, however, note other advantages to sugammadex over neostigmine, including its pharmacologic profile of more efficiently reversing non-depolarizing neuromuscular blocking drugs and its more favorable pharmacokinetics. This lack of statistically significant evidence found within these studies consequentially does not support pharmacologic decision-making of one drug in favor of the other for reducing PONV; therefore, PONV alone is not a sufficient rationale for a provider to justify using one reversal over another at the current time until further research proves otherwise.

The presence of parenchymal or intrabronchial endometrial tissue is rare and has been reported in

Over the last few decades, the developed countries have witnessed a strong increase in healthcare spending, essentially due to the emergence of new diseases, the aging of the population, and the development of new and costly technologies. The Health Technology Assessment (HTA) is a powerful tool for connecting the technical-scientific and decision-making world, which helps to prevent the introduction of inappropriate, ineffective, or superfluous technologies within the health system, thus limiting the expense, and improving the overall quality of medical care. This paper describes a hospital-based HTA procedure (costs-efficacy evaluation), which has been exploited to compare an innovative device, with integrated camera, for endobronchial intubation in thoracic surgery, with the instrumentation currently in use at the National Cancer Institute “G. Pascale” of Naples, which is the largest Institute of Hospitalization, Scientific Research and Care for the Oncology in Southern Italy. In the case under study, by introducing the new technology, direct variable costs could result in an actual significant spending increase for the “G. Pascale” Institute; however, despite that, the results of the HTA procedure and of the Analysis of Costs Minimization show that the introduction of the innovative device could allow to significantly decrease the intubation time, the overall surgery duration and the costs incurred by the Institute. These results confirm also the usefulness of the hospital based HTA procedures.

Background The analysis of the circadian rhythm of heart rate variability (HRV) represents a relevant physiological tool to assess the vagal system. However, the influence of age (mostly >75 years) on HRV is not widely known. Aims The aim of this study was to evaluate the influence of age on HRV, particularly in the elderly and to identify a model of this relationship. The study was carried out by examining linear and nonlinear parameters extracted from HRV, including individuals over 75 years for which there is no research available. Methods Data from 140 healthy subjects were sex matched and divided into young (young group: 15-39 years old), adult (adult group: 40-64 years old) and senior (senior group: 65-90 years old) groups. 24-h Holter monitoring was used and several HRV parameters were extracted from time, and spectral and nonlinear analyses were examined. Results Time-domain parameters, mainly standard deviation of the NN interval (SDNN) and number of successive differences of intervals which differ by more than 50 ms, presented significant differences between the young group and the other two groups during the 24-h period, while normalized spectral parameters (LFn, HFn and low frequency/high frequency), as well as nonlinear parameters, mainly β exponent and fractal dimension, showed significant difference between the senior group and the other two groups. All these parameters showed a similar circadian rhythm with significant differences between the mean day and night values, especially in young and adult group cohorts. Moreover, a parabolic relationship between these parameters and age was highlighted with an opposite trend over about 60 years compared with younger people. Conclusion A progressive physiological autonomic imbalance is present in ageing. The inverse trend in the relation between HRV parameters and age found in the senior group could be mainly due to a faster fluctuation of RR. This should be considered when studying changes in the cardiac autonomic nervous control.

Clinical parameters as Blood Pressure and Heart Rate (HR) are influenced by hypertension and smoking. To evaluate how these risk factors influence HR, usually punctual or mean evaluation of these signals on daytime or nighttime are made. However, since HR has a circadian behavior, changing during 24h, a punctual description represents only a rough approximation of this comportment. In this study, we analyzed the influence of smoking and hypertension on the circadian rhythm of HR with a standard temporal resolution. Data coming from 618 hypertensive/non-hypertensive, smokers/non-smokers subjects were recorded using a Holter BP monitor. Results confirmed significant higher values of HR during day and nighttime in smokers than in non-smokers also highlighting different velocity of HR linear changes in three periods of the 24h (daytime, nighttime, early morning).

Objective: Advanced neuroimaging has proved to be pivotal in the management of acute ischemic stroke. The use of CT perfusion (CTP) core and penumbra parameters to predict the outcome in wake-up stroke (WUS) patients in everyday clinical scenarios has not yet been investigated. The aim of our study was to investigate the predictive power of CTP parameters on functional and morphological outcomes in WUS patients treated with recombinant tissue plasminogen activator (rTPA). Approach: We analyzed clinical data and processed CTP images of 83 consecutive WUS patients treated with rTPA. The predictive power of whole-brain CTP features and of the clinical stroke-related parameters to predict the National Institutes of Health Stroke Scale (NIHSS) score at the seventh day and ischemic lesion volume outcome was investigated by means of multivariate regression analysis as well as least absolute shrinkage and selection operator (LASSO) modeling. Main results: Multivariate analysis showed that CTP core volume (β = 0.403, p = 0.000), NIHSS at admission (β = 0.323, p = 0.005) and Alberta Stroke Program Early CT (ASPECT) score (β = -0.224, p = 0.012) predict NIHSS at 7 days, while total hypoperfused volume (β = 0.542, p = 0.000) and core volume on CTP (β =0.441, p = 0.000) predict infarct lesion volume at follow-up CT. The LASSO modeling approach confirmed the significant predictive power of CTP core volume, total hypoperfused CTP volume, NIHSS at baseline and ASPECT score, producing a sparse model with adequate reliability (the root mean square error on a previously unseen testing dataset was 3.68). Significance: Our findings highlight the importance of CT multimodal imaging features for decision-making and prediction in the hyperacute phase of WUS. The predictive model supports the hypothesis that an irreversible necrotic core rather than the extent of the penumbra is the main prognostic factor in WUS patients treated with rTPA.

This paper presents the design study developed to realize an innovative mission management system that can be installed onboard different unmanned vehicles. The main aim of the project is the standardization of system processes by employing a modular architecture, that can be adopted for several mission profiles. The activity focus is set on the system components design in order to assess specific processing applications. So, after the identification of common processes among platforms, traditional onboard functions can be implemented, such as Guidance, Navigation and Control (GN&C). This innovative system architecture is characterized by a “core” section, that includes the processing units, and a “custom” section, that involves specific vehicle devices, such as sensors, antennas, and actuators. Considering the modular approach, the optimized design must be selected for each of these units, allowing easier onboard installation and systems exchange. Assessing the specific inputs and combining the “core” processes it is possible to realize synthetic functions that reconstruct the traditional functions outputs. The main advantages of the proposed solution are the increase of the mission management system reliability level and the reduction of costs, thanks to the adoption of same “core” section for different kinds of transport platforms and the employment of Micro Electro-Mechanical System devices.

We reported the case of a 55-year-old man with a large tracheal lobular capillary haemangioma attached to posterior tracheal wall and successfully managed with arterial embolization followed by endoscopic resection using Harmonic™ ACE Plus. Because of the high risk of bleeding, Harmonic™ was used in this case due to its ability to cut and cauterize simultaneously. The instrument jaw repeatedly grasped the attachment point of tumor, and then the cavitation effect, created by the longitudinal vibration of the blade tip, separated it from the posterior tracheal wall, reducing the risk of perforation. Yet, the ultrasonic energy denatured proteins and coagulated the vessels, preventing the bleeding during resection. No complications occurred during and after the procedure. Twelve-month follow-up showed no recurrence.

The identification of biomarkers on cancer tissue samples could be obtained through several technologies. In this setting, the immunohistochemistry and in situ hybridization are accessible in most pathology laboratories. Particularly, immunohistochemistry can be used not only for diagnostic issues, but also to define prognostic classes and to define response to specific therapies. Particularly the last applications have been firstly developed in the breast cancer pathology. In addition, the development of molecular classification proposed some prognostic/predictive classes that could be easily defined by immunohistochemistry. Thus, the role of the pathologists has become increasingly important in the definition of prognosis and in the choice therapy, because the immunohistochemical biomarkers are used to guide treatment, to classify breast cancer into biologically and prognostically distinct subtypes. In this review, we will provide information on the current application of the immunohistochemical biomarkers useful in the management of breast cancer patients. Moreover, we consider the application of immunohistochemistry in the definition of the most promising biomarkers derived from molecular studies of the breast cancer, that in the future could integrate the characterization of breast cancer into clinical practice.

This paper describes the study conducted to predict the trajectory flight-time of a drone adopting a machine learning approach. The proposed method has been carried out developing a feedforward neural network to estimate the flight-time needed by the drone to perform a selected corner of a designed path. To acquire a consistent database for the neural network training several reference corner paths have been flown by a test drone. The reference corners have fixed side length and different turning angle. Neural network input parameters are the corner angle, relative orientation and intensity of wind. From the telemetry analysis the flight-time to fly the corner path has been computed and employed to train the neural network. The Levenberg-Marquardt algorithm and the Bayesian Regularization backpropagation algorithm have been exploited as training functions, analyzing several neural network architectures with a different number of hidden layers and neurons. At the end, the neural networks that are characterized by the best training and test performance have been selected for each training function. Stating the trained network, a generic path has been planned to test the proposed method. The error between the estimated flight-time and the real flight-time from the drone telemetry has been evaluated.

Background: One of the most frequently adopted strategies to counterbalance the risk of exercise-induced hypoglycemia in patients with type 1 diabetes is carbohydrates supplement. Nevertheless, the estimation of its amount is still challenging. We investigated the efficacy of the personalized Exercise Carbohydrate Requirement Estimation System (ECRES) method compared to a tabular approach to estimate the glucose supplement needed for the prevention of exercise-related glycemic imbalances. Method: Twenty-six patients performed two one-hour constant intensity exercises one week apart; the amount of extra carbohydrates was estimated, in random order, by the personalized ECRES method or through the tabular approach; glycemia was determined every 30 minutes. Continuous glucose monitoring (CGM) metrics were calculated over the 48 hours preceding, and the afternoon and night following the trials. Results: Applying the personalized ECRES method, a significantly lower amount of carbohydrates was administered to the active patients compared to the tabular approach, median (interquartile range): 9.0 (0.5-21.0) g vs 23.0 (21.0-25.0) g; P < .01; the two methods were similar for the sedentary patients, 18 (13.5-36.0) g vs 23.0 (21.0-27.0) g; P = NS. After overlapping CGM metrics before the exercises, both methods avoided hypoglycemia and resulted in similar glucose levels throughout them. The ECRES method led to CGM metrics within the guidelines for either the afternoon and the night just following the trials, whereas the tabular approach resulted in a significantly greater time below range in the afternoon (11.8% ± 18.2%; P < .05) and time above range during the night (39.3% ± 29.8%; P < .05). Conclusions: The results support the validity of the personalized ECRES method: although the estimated amounts of carbohydrates were lower, patients’ glycemia was maintained within safe clinical limits.

EEG has a central role in the diagnosis of epileptiform abnormalities helpful in diagnosing epilepsy. Since irregularities are random and sporadic events, easily activated in the initial phase of sleep but difficult to observe in a standard EEG examination, sleep deprivation is a frequent condition to be used. Thus, in this study the EEG monitoring of 44 subjects, 14 without epilepsy and 30 with epilepsy, afferent to the IRCCS Centro Neurolesi “Bonino Pulejo” of Messina were examined after sleep deprivation the day before performing the registration. EEGs were recorded according to the international setting system using nineteen channels. The normalized power spectral densities in delta (2–4 Hz), theta (4–8 Hz), alpha (8–13 Hz) and beta (13–30 Hz) band were computed and the non-linear parameters such as beta exponent, fractal dimension and zero crossing were considered. The differences between the sleep and awake were significant in almost all the channels in the beta band and in posterior areas for beta exponent, fractal dimension and zero crossing in normal subjects. In epileptic patients they were significant in all the channels in the delta band and for the non-linear parameters, and in several ones in theta and beta bands. Even if in posterior areas all the spectral and the non-linear parameters showed different values between epileptic and healthy subjects, no significant differences were found. The results suggest that analysis of spectral power as well as of complexity, obtained by non-linear parameters, could be used to identify differences between healthy and epileptic patients.

Prognosis in Wake-up ischemic stroke (WUS) is important for guiding treatment and rehabilitation strategies, in order to improve recovery and minimize disability. For this reason, there is growing interest on models to predict functional recovery after acute ischemic events in order to personalize the therapeutic intervention and improve the final functional outcome. The aim of this preliminary study is to evaluate the possibility to predict a good functional outcome, in terms of modified Rankin Scale (mRS ≤ 2), in thrombolysis treated WUS patients by Bayesian analysis of clinical, demographic and neuroimaging data at admission. The study was conducted on 54 thrombolysis treated WUS patients. The Variational Bayesian logistic regression with Automatic Relevance Determination (VB-ARD) was used to produce model and select informative features to predict a good functional outcome (mRS ≤ 2) at discharge. The produced model showed moderately high 10 × 5-fold cross validation accuracy of 71% to predict outcome. The sparse model highlighted the relevance of NIHSS at admission, age, TACI stroke syndrome, ASPECTs, ischemic core CT Perfusion volume, hypertension and diabetes mellitus. In conclusion, in this preliminary study we assess the possibility to model the prognosis in thrombolysis treated WUS patients by using VB ARD. The identified features related to initial neurological deficit, history of diabetes and hypertension, together with necrotic tissue relate ASPECT and CTP core volume neuroimaging features, were able to predict outcome with moderately high accuracy.

The paper aims at investigating the most adequate strategies to develop efficient Machine Learning solutions for Autonomous Vehicles used for terrestrial, air, and maritime transportation. The development of systems with capabilities of performing some parts or even a full mission by adopting fully autonomous solutions has encouraged the development of new interfaces with human pilots. Standard interfaces are based on traditional systems that require low-level actions, such as the one related to steering and instrument monitoring. Indeed, autonomous transport systems have the capability to develop complex logic solutions to self-generate low-level actions. In this case, the role of the pilot is the development of high-level decisions rather than low-level steering of the vehicle. This condition permits the pilot to focus his workload on the most important issues related to driving the vehicle, thus reducing the risk of distraction determined by low- level steering. Therefore, the type and the layout of the developed interface will exploit recent technologies, such as touchscreens, voice recognition, and synthetic vision. The interaction looks like the one provided when the pilot relates to other humans rather than a machine. This condition is verified if the transport system is provided with Artificial Intelligence solutions based on Machine Learning. The paper discuss proper testing strategies to evaluate the adoption of specific interfaces in replacement of traditional ones. The final goal is to demonstrate the efficiency of the proposed testing strategies to select adequate interfaces that improve the quality and the safety of transportation. Four case studies are discussed to highlight efficient prototypical systems to be used in these applications. © 2020 IEEE.

Management of Type 1 Diabetes (T1D) in the context of exercise or sports competition still represents a great challenge for athletes living with this disease, due to the wide excursions in blood glucose level with increased risk of life threatening hypoglycemia. Recently, an algorithm called ECRES has been developed to estimate patient-exercise tailored carbohydrates (CHO) supplement required to maintain safe blood glucose levels during physical activity. This method estimates a CHO supplement based on the patient’s habitual therapy, the specific patient’s insulin sensitivity and the overall amount of CHO oxidized during the specific exercise. The last is based on the glucose pulse relation, i.e. the relation between heart rate (HR) and CHO oxidation rate, already studied in sedentary and moderately-trained subjects, but not in well-trained athletes. This study aimed to model the glucose pulse relation during exercise in type 1 highly trained diabetic patients and in healthy subjects. HR, oxygen consumption and carbon dioxide production were acquired breath-by-breath in seven T1D and seven well-matched healthy highly-trained subjects at four different exercise intensity levels, as well as at rest. Results showed a linear CHOox-HR relation (CHOox = 0.76 · %HRmax - 19.6; n = 70, R2 = 0.78) with no significant difference between the T1D and healthy athletes (p-value = 0.11). In conclusion, results of this study can be implemented in an updated version of the ECRES algorithm allowing an easy estimate of CHO supplement also in highly trained subjects. This useful support system can enhance the self-management of glycaemia during the training sessions of athletic patients throughout mHealth technologies.

Context Patients with adrenal insufficiency (AI) have excess mortality and morbidity, mainly due to cardiovascular (CV) diseases. The mechanisms for this is unclear. Objective To assess CV structure and function in AI patients on conventional replacement therapy and after switching to once-daily, modified-release hydrocortisone (OD-HC) in comparison with healthy matched controls. Methods This was a retrospective analysis of 17 adult AI patients (11 with primary AI, 6 with secondary AI) on stable replacement with cortisone acetate [median (minimum, maximum) 33.5 (12.5–50) mg] and, if needed, fludrocortisone [0.1 (0.05–0.2) mg], and 17 healthy matched controls. Ten patients were switched to an equivalent dose of OD-HC. Data from echocardiography, 24 h Holter-ECG and 24 h blood pressure monitoring were collected at baseline and 6 months after the switch to OD-HC. Results At baseline, AI patients had smaller left ventricular diastolic diameter (47.1 ± 4.2 vs. 51.6 ± 2.3 mm; P = 0.001) and left atrial diameter (34.9 ± 4.7 vs. 38.2 ± 2.6 cm; P = 0.018), and a higher ejection fraction (62.5 ± 6.9% vs. 56.0 ± 4.7%; P = 0.003) than controls. AI patients had lower nocturnal systolic and diastolic blood pressure than controls (108 ± 15 mmHg vs. 117 ± 8 mmHg; P = 0.038 and 65 ± 9 mmHg vs. 73 ± 7 mmHg; P = 0.008, respectively). After the switch to OD-HC, nocturnal diastolic blood pressure normalised. No significant changes were observed in echocardiographic and Holter-ECG parameters following the switch. Conclusions AI patients on conventional treatment display cardiovascular abnormalities that could be related to hypovolemia. Switch to OD-HC seems to have beneficial effect on blood pressure profile, but no effect on cardiovascular structure and function.

In the present study, 30 right-handed participants randomly performed one of three motor neurorehabilitation paradigms: action observation (AO), motor imagery (MI) and combined action observation and motor imagery (AO+MI) of the right arm and hand movement. Resting state electroencephalography (EEG) was acquired for 5 min before and immediately after the motor paradigms session. EEG was recorded from 10 sites over sensorimotor areas, and the average power was calculated for left (FC3, C3, C1, C5, CP3) and right (FC4, C4, C2, C6, CP4) regions in the spectral bands: delta, theta, alpha, mu, low and high beta. Our main finding demonstrates that delta, theta and mu activity decreased significantly on the contralateral regions during MI, while low beta increased significantly. Except for the mu band, the same changes were observed on the ipsilateral side, where delta and theta decreased significantly, while low beta became significantly higher. No relevant effects were observed for AO or combined AO and MI. These findings demonstrate a rapid effect of MI on cortical modulation in sensorimotor areas which is revealed by changes in resting state oscillatory activity and suggest an interesting interplay between MI and AO. The presented findings may be relevant for choosing a proper protocol for clinical motor neurorehabilitation approaches.