Subject(s)
Antibodies, Monoclonal , Psoriasis , Humans , Psoriasis/drug therapy , Genitalia , Treatment Outcome , Severity of Illness IndexSubject(s)
Antibodies, Monoclonal , Psoriasis , Humans , Psoriasis/drug therapy , Italy , Treatment Outcome , Severity of Illness IndexSubject(s)
Biological Products , Psoriasis , Humans , Aged , Psoriasis/drug therapy , Antibodies, Monoclonal, Humanized , Italy , Treatment Outcome , Severity of Illness IndexABSTRACT
AIM: In this study, we have compared 229 Wechsler Adults Intelligence Scale - Fourth Edition (WAIS-IV) cognitive profiles of different severity adults with autism spectrum disorder to verify the impact of several variables including sex, age, level of education and autism severity level in an Italian sample. Moreover, we wanted to find out the optimal cut points for the major intelligence quotients in order to discriminate autism severity levels. METHODS: Participants were recruited from two National Health System Center in two different Italian regions and were assessed with gold-standard instruments as a part of their clinical evaluation. According to DSM-5, cognitive domains were also measured with multi-componential tests. We used the Italian adaptation of WAIS-IV. We checked our hypotheses using linear regression models and receiver operating characteristics (ROC) curves. RESULTS: Our results showed that age and level of education have a strong impact on Verbal Comprehension (VCI) and Working Memory Indexes (WMI). Gender differences are relevant when considering the VCI and Processing Speed index (PSI) in which women obtained the best performance. These differences are still relevant when considering cut points of ROC because 69 resulted to be the optimal cut point for women, 65 for men. CONCLUSIONS: Few conclusions can be assumed only examining Full Scale Intelligence Quotient (FSIQ) scores as it includes many different information about broader cognitive abilities. Looking deeper at main indexes and their subtests findings are consistent with previous research on the disorder (moderate correlations of FSIQ, Perceptual Reasoning index, WMI and PSI with the participants' age), while other results are unforeseen (no effect of sex found on FSIQ score) or novel (significant effect of education on VCI and WMI). Using an algorithm predicting optimal cut point for discriminating through autism severity levels can help clinicians to better label and quantify the required help a person may need, a test cannot replace diagnostic and clinical evaluation by experienced clinicians.
Subject(s)
Autism Spectrum Disorder , Adult , Autism Spectrum Disorder/diagnosis , Cognition , Female , Humans , Intelligence Tests , Male , Memory, Short-Term , Wechsler ScalesABSTRACT
The COVID-19 pandemic has represented a hazardous situation for individuals with Autism Spectrum Disorder (ASD) and their families. The difficulties, following the COVID-19-derived lockdown, have involved working from home or loss of employment, and the demands of looking after their children without the daily support of specialists. The aim of this study was to evaluate the adaptive behaviour of young adult participants with ASD after the enforcement of lockdown measures in March 2020 in a specialised centre in central Italy, by administering the Italian form of the Vineland Adaptive Behaviour Scales Second Edition (VABS-II), at baseline as well as 6 months and 1 year after the lockdown. Participants with ASD who were not able to access their normal, in-person care - they were only followed at a distance (i.e. telehealth) - declined dramatically in their adaptive behaviour during the first months after the lockdown for some VABS-II dimensions such as the socialisation and daily living domains. The effects of the lockdown on adaptive behaviour remained after 1 year. Our results emphasise the need for immediate, continuous and personal support for people with ASD during and after the restrictions caused by the COVID-19 pandemic, in order to ensure at least partial recovery of adaptive functioning.
Subject(s)
Autism Spectrum Disorder , Autistic Disorder , COVID-19 , Child , Young Adult , Humans , Autism Spectrum Disorder/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Longitudinal Studies , Pandemics/prevention & control , Communicable Disease Control , Italy/epidemiologyABSTRACT
PURPOSE: Physical examinations and annual mammography (minimal follow-up) are as effective as laboratory/imaging tests (intensive follow-up) in detecting breast cancer (BC) recurrence. This statement is now challenged by the availability of new diagnostic tools for asymptomatic cases. Herein, we analyzed current practices and circulating tumor DNA (ctDNA) in monitoring high-risk BC patients treated with curative intent in a comprehensive cancer center. PATIENTS AND METHODS: Forty-two consecutive triple negative BC patients undergoing neoadjuvant therapy and surgery were prospectively enrolled. Data from plasma samples and surveillance procedures were analyzed to report the diagnostic pattern of relapsed cases, i.e., by symptoms, follow-up procedures and ctDNA. RESULTS: Besides minimal follow-up, 97% and 79% of patients had at least 1 non-recommended imaging and laboratory tests for surveillance purposes. During a median follow-up of 5.1(IQR, 4.1-5.9) years, 13 events occurred (1 contralateral BC, 1 loco-regional recurrence, 10 metastases, and 1 death). Five recurrent cases were diagnosed by intensive follow-up, 5 by symptoms, and 2 incidentally. ctDNA antedated disseminated disease in all evaluable cases excepted two with bone-only and single liver metastases. The mean time from ctDNA detection to suspicious findings at follow-up imaging was 3.81(SD, 2.68), and to definitive recurrence diagnosis 8(SD, 2.98) months. ctDNA was undetectable in the absence of disease and in two suspected cases not subsequently confirmed. CONCLUSIONS: Some relapses are still symptomatic despite the extensive use of intensive follow-up. ctDNA is a specific test, sensitive enough to detect recurrence before other methods, suitable for clarifying equivocal imaging, and exploitable for salvage therapy in asymptomatic BC survivors.
Subject(s)
Circulating Tumor DNA , Triple Negative Breast Neoplasms , Biomarkers, Tumor/genetics , Circulating Tumor DNA/genetics , Follow-Up Studies , Humans , Neoadjuvant Therapy , Neoplasm Recurrence, Local/epidemiology , Triple Negative Breast Neoplasms/geneticsABSTRACT
BACKGROUND: Planning radiosurgery to multiple intracranial metastases is complex and shows large variability in dosimetric quality among planners and treatment planning systems (TPS). This project aimed to determine whether autoplanning using the Muliple Brain Mets (AutoMBM) software can improve plan quality and reduce inter-planner variability by crowdsourcing results from prior international planning study. METHODS: Twenty-four institutions autoplanned with AutoMBM on a five metastases case from a prior international planning competition from which population statistics (means and variances) of 23 dosimetric metrics and resulting composite plan score (maximum score = 150) of other TPS (Eclipse, Monaco, RayStation, iPlan, GammaPlan, MultiPlan) were crowdsourced. Plan results of AutoMBM and each of the other TPS were compared using two sample t-tests for means and Levene's tests for variances. Plan quality of AutoMBM was correlated with the planner' experience and compared between academic and non-academic centers. RESULTS: AutoMBM produced plans with comparable composite plan score to GammaPlan, MultiPlan, Eclipse and iPlan (127.6 vs. 131.7 vs. 127.3 vs. 127.3 and 126.7; all p > 0.05) and superior to Monaco and RayStation (118.3 and 108.6; both p < 0.05). Inter-planner variability of overall plan quality was lowest for AutoMBM among all TPS (all p < 0.05). AutoMBM's plan quality did not differ between academic and non-academic centers and uncorrelated with planning experience (all p > 0.05). CONCLUSIONS: By plan crowdsourcing prior international plan challenge, AutoMBM produces high and consistent plan quality independent of the planning experience and the institution that is crucial to addressing the technical bottleneck of SRS to intracranial metastases.
Subject(s)
Brain Neoplasms , Crowdsourcing , Radiosurgery , Radiotherapy, Intensity-Modulated , Automation , Brain Neoplasms/secondary , Humans , Internet , Radiosurgery/methods , Radiotherapy Dosage , Radiotherapy Planning, Computer-Assisted/methods , Radiotherapy, Intensity-Modulated/methodsSubject(s)
COVID-19 , Exanthema , Psoriasis , Skin Diseases, Vesiculobullous , Antibodies, Monoclonal , BNT162 Vaccine , COVID-19 Vaccines , Humans , Psoriasis/drug therapy , RNA, MessengerSubject(s)
COVID-19 , Dermatology , Humans , Italy/epidemiology , Pandemics , SARS-CoV-2 , Time FactorsABSTRACT
BACKGROUND: Improving functioning in patients with bipolar disorder (BD) is one of the main objectives in clinical practice. Of the few psychosocial interventions that have been specifically developed to enhance the psychosocial outcome in BD, functional remediation (FR) is one which has demonstrated efficacy. The aim of this study was to examine which variables could predict improved functional outcome following the FR intervention in a sample of euthymic or subsyndromal patients with BD. METHODS: A total of 92 euthymic outpatients were included in this longitudinal study, with 62 completers. Partial correlations controlling for the functional outcome at baseline were calculated between demographic, clinical and neurocognitive variables, and functional outcome at endpoint was assessed by means of the Functioning Assessment Short Test scale. Next, a multiple regression analysis was run in order to identify potential predictors of functional outcome at 2-year follow-up, using the variables found to be statistically significant in the correlation analysis and other variables related to functioning as identified in the previous scientific literature. RESULTS: The regression model revealed that only two independent variables significantly contributed to the model (F(6,53): 4.003; p = 0.002), namely verbal memory and inhibitory control. The model accounted for 31.2% of the variance. No other demographic or clinical variable contributed to the model. CONCLUSIONS: Results suggest that patients with better cognitive performance at baseline, especially in terms of verbal memory and executive functions, may present better functional outcomes at long term follow-up after receiving functional remediation.
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Bipolar Disorder , Bipolar Disorder/psychology , Bipolar Disorder/therapy , Humans , Longitudinal Studies , Memory , Neuropsychological TestsABSTRACT
INTRODUCTION: This is an Italian single-center retrospective study evaluating safety and efficacy of biologic agents in psoriatic patients with a previous diagnosis of malignant cancer. AIM: Management of moderate and severe psoriasis patients with a past medical history of malignancies could be difficult because biologic agents are historically associated with a presumptive increased risk of neoplastic reactivation or of a new incoming cancer. The aim of this study is to assess the safety of biologics in patients with a previous cancer diagnosis. MATERIAL AND METHODS: The study analyzed 16 moderate to severe psoriasis patients with a diagnosis of malignant cancer in the previous 10 years treated with biologic agents for up to at least 96 weeks. In five of these patients, cancer was diagnosed in the previous 5 years. RESULTS: We observed a rapid decrease in PASI (psoriasis area severity index) reaching a 90% improvement in 100% of patients. Oncologic follow up did not show any worsening or reactivation of cancer during the entire observation period. No new malignancies were observed in the analyzed sample. CONCLUSIONS: Biologic agents in our experience have demonstrated to be safe and effective in psoriatic patients with a past medical history of malignant cancer.
Subject(s)
Biological Therapy , Neoplasms , Psoriasis , Antibodies, Monoclonal/therapeutic use , Humans , Neoplasms/chemically induced , Neoplasms/complications , Psoriasis/pathology , Retrospective Studies , Severity of Illness Index , Treatment OutcomeABSTRACT
Coagulation is the main process for removing natural organic matter (NOM), considered to be the major disinfection by-products (DBPs) precursor in drinking water production. In this work, k-means clusters analysis were used to classify influent waters from two different surface drinking water treatment plants (DWTPs) located in the Mediterranean region. From this, enhanced coagulation models based on response surface methodology (RSM) were then developed to optimise coagulation at two water catchments (river and reservoir). The cluster analysis classified the water quality of the raw waters into two groups related to baseline and peak organic loads. The developed enhanced coagulation models were based on the turbidity, total organic carbon (TOC) and UV254 removals. Sensitivity analysis applied to the models (after predictors selection) determined the factors relative individual contributions for each DWTP scenario. Then, profile plots for enhanced coagulation were studied to identify the optimal levels for each case. Models mean R2 were 0.85 and 0.86 in baseline and 0.85 and 0.84 in peak scenario for river and reservoir catchments, respectively. Results of this study indicate that the surface water quality variation in river DWTP is seasonal and is expressed by an increase of turbidity, while in the reservoir DWTP is related to extreme weather events showing high levels of dissolved organic load (TOC and UV254). During baseline cases, where raw waters present low levels of organics, the three factors optimal adjustment should be ensured to optimise coagulation. Then, during peak scenarios, where influent waters present high organics, the optimal for enhanced coagulation relies on the correct adjustment of Cd. The presented work provides models for drinking water production aimed to propose the optimum conditions for enhanced coagulation, considering the influent water characteristics under different weather conditions.
Subject(s)
Drinking Water , Water Pollutants, Chemical , Water Purification , Disinfection , Rivers , Water Pollutants, Chemical/analysis , Water QualityABSTRACT
INTRODUCTION: Autism spectrum disorder (ASD) is a set of heterogeneous neurodevelopmental conditions, characterised by difficulties in social communication and restricted, repetitive behaviours and interests. There are several rehabilitative interventions for individuals with ASD but the evidence of their effectiveness is low or moderate overall. The transition phase of ASD individuals from adolescence to adulthood represents an important challenge. Adults with ASD struggle to access employment or independent living. METHODS: In our study, we evaluated the effect of three different high-intensity interventions, namely Applied Behaviour Analysis (ABA), Treatment and Education of Autistic and Communication-Handicapped Children (TEACCH) and Behavioural Educational Intervention (BEI), in 93 ASD (levels 2 and 3) adolescents (age range 12-18 years). RESULTS: Our results showed that all adolescents with ASD reported an improvement of core symptoms, regardless of the type of treatment. CONCLUSIONS: A high intensity intervention ameliorates the core symptoms of ASD, enriching evidence of effectiveness regarding adolescents with ASD.KEY POINTSIndividuals with ASD need lifespan support and they struggle to access employment, independent living and community inclusion.There are several rehabilitative interventions for individuals with ASD but the evidence of their effectiveness in adolescents is insufficient.The main purpose of this study was to evaluate the possible enhancement produced by three intensive interventions (ABA, TEACCH, BEI) of symptom severity and adaptive functions.Results show that independently of the treatment, individuals with ASD decrease in ASD severity.Individuals who were treated with the BEI and TEACCH programmes reported improvements in the adaptive domains.
Subject(s)
Autism Spectrum Disorder/rehabilitation , Behavior Therapy , Disabled Children/rehabilitation , Outcome Assessment, Health Care , Patient Education as Topic , Psychiatric Rehabilitation , Adolescent , Child , Female , Humans , Male , Neuropsychological Tests , Psychiatric Rehabilitation/methodsABSTRACT
While the global coronavirus crisis impacts society and the economy in a myriad of ways, it provides, what is likely to be, a once in a lifetime opportunity for us to rethink our response to climate change. According to the 2020 Global Risk Register, extreme weather and climate action failure are the two most likely and impactful risks to the global economy, which now more than ever needs to be avoided. Addressing the major challenges that we face from climate change can often appear to conflict with economic priorities. Add to this the fact that environmental mitigation steps can inadvertently exclude sections of the population and the enormity and complexity of climate change responses can result in paralysis. In contrast, the Stirling Protocol provides the framework for rapid, effective action and comprises three pillars: Environment, Economy & Inclusion. By addressing and balancing these three pillars, the simple protocol can be adopted throughout organisations putting the environment at the heart of sustainable prosperity and inclusion and provide a benchmark for positive action.
ABSTRACT
Lack of physical exercise is considered an important risk factor for chronic diseases. On the contrary, physical exercise reduces the morbidity rates of obesity, diabetes, bone disease, and hypertension. In order to gain novel molecular and cellular clues, we analyzed the effects of physical exercise on differentiation of mesenchymal circulating progenitor cells (M-CPCs) obtained from runners. We also investigated autophagy and telomerase-related gene expression to evaluate the involvement of specific cellular functions in the differentiation process. We performed cellular and molecular analyses in M-CPCs, obtained by a depletion method, of 22 subjects before (PRE RUN) and after (POST RUN) a half marathon performance. In order to prove our findings, we performed also in vitro analyses by testing the effects of runners' sera on a human bone marrow-derived mesenchymal stem (hBM-MSC) cell line. PCR array analyses of PRE RUN versus POST RUN M-CPC total RNAs put in evidence several genes which appeared to be modulated by physical activity. Our results showed that physical exercise promotes differentiation. Osteogenesis-related genes as RUNX2, MSX1, and SPP1 appeared to be upregulated after the run; data showed also increased levels of BMP2 and BMP6 expressions. SOX9, COL2A1, and COMP gene enhanced expression suggested the induction of chondrocytic differentiation as well. The expression of telomerase-associated genes and of two autophagy-related genes, ATG3 and ULK1, was also affected and correlated positively with MSC differentiation. These data highlight an attractive cellular scenario, outlining the role of autophagic response to physical exercise and suggesting new insights into the benefits of physical exercise in counteracting chronic degenerative conditions.