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Cutillo L.,Bambino Gesu Children Hospital | Pizziconi C.,Bambino Gesu Children Hospital | Tozzi A.E.,Multifactorial Diseases and Complex Phenotypes Research Area | Verrillo E.,Bambino Gesu Children Hospital | And 2 more authors.
Journal of Pediatrics | Year: 2014

We investigated in children with spinal muscular atrophy type 2 the consistency of 4 different equations for predicting resting energy expenditure (REE) compared with measured REE by using indirect calorimetry. In patients with spinal muscular atrophy type 2, measured REE was lower than predicted. We also found a correlation between energy consumption and motor skills. © 2014 The Authors.


Pazzaglia C.,Don Carlo Gnocchi ONLUS Foundation | Liguori S.,Paracelso Institute | Minciotti I.,Catholic University of the Sacred Heart | Testani E.,Catholic University of the Sacred Heart | And 7 more authors.
Clinical Neurophysiology | Year: 2015

Objective: Acupuncture is known to reduce clinical pain, although the exact mechanism is unknown. The aim of the current study was to investigate the effect of acupuncture on laser-evoked potential amplitudes and laser pain perception. Methods: In order to evaluate whether abdominal acupuncture is able to modify pain perception, 10 healthy subjects underwent a protocol in which laser-evoked potentials (LEPs) and laser pain perception were collected before the test (baseline), during abdominal acupuncture, and 15. min after needle removal. The same subjects also underwent a similar protocol in which, however, sham acupuncture without any needle penetration was used. Results: During real acupuncture, both N1 and N2/P2 amplitudes were reduced, as compared to baseline (p<0.01). The reduction lasted up to 15. min after needle removal. Furthermore, laser pain perception was reduced during real acupuncture, although the difference was marginally significant (p= 0.06). Conclusions: Our results show that abdominal acupuncture reduces LEP amplitude in healthy subjects. Significance: Our results provide a theoretical background for the use of abdominal acupuncture as a therapeutic approach in the treatment of pain conditions. Future studies will have to be conducted in clinical painful syndromes, in order to confirm the analgesic effect of acupuncture in patients suffering from pain. © 2014 International Federation of Clinical Neurophysiology.


Feo P.,Child and Adolescent Neuropsychiatry Unit | Di Gioia S.,Child and Adolescent Neuropsychiatry Unit | Carloni E.,Multifactorial Diseases and Complex Phenotypes Research Area | Vitiello B.,National Institute of Mental Health | And 2 more authors.
BMC Psychiatry | Year: 2014

Background: In 2009, an earthquake devastated the Abruzzo region in Italy. Despite the occurrence of several disasters in this country, no study on mental health of Italian children has ever been conducted in complex emergencies. Objective of the study was to assess the prevalence of psychiatric symptoms among children in the affected area 12 to 17 months after the event.Methods: A community sample of 1839 3-14 years children was identified from the general population assigned to 37 paediatricians of the National Health System, including children living in the earthquake epicentre, the surrounding earthquake zone, and the adjacent non-affected areas. Psychiatric symptoms were assessed with the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR), completed by 452 children aged 11-14 years. The association between symptoms and sociodemographic, health, family, and earthquake-related factors was examined.Results: The prevalence of CBCL-defined cases was 14.9% in the epicentre, 13.0% in the remainder earthquake zone, 13.9% in the unaffected area (p =876). No differences among areas were found when comparing the YSR results. Prevalence of CBCL-defined post-traumatic stress (PTS) cases was 8.4% in the epicentre, 4.0% in the remainder earthquake zone, 2.2% in the unaffected area (p =002). PTS and anxiety were significantly more frequent in the epicentre than in other areas only in the 6-10 year-old children group (respectively p =009 and p =014). In multivariate logistic analyses, factors associated with PTS were living in the epicentre (OR = 3.6) and child or maternal history of mental health care prior to the earthquake (respectively OR = 7.1 and OR = 4.5).Conclusions: Children living in the epicentre, particularly those 6-10 years old, had the highest prevalence of CBCL-defined cases, and of PTS and anxiety symptoms one year after the earthquake. No signs of increased psychopathology were detected in younger (3-5 years) or older children (11-14 years). Family and health related factors showed stronger association with psychiatric outcomes than earthquake-related factors. The identification of populations at higher risk of developing psychiatric symptoms has implications for public health interventions in complex emergencies. © 2014 Feo et al.; licensee BioMed Central Ltd.


Gesualdo F.,Multifactorial Diseases and Complex Phenotypes Research Area | Stilo G.,University of Rome La Sapienza | Agricola E.,Multifactorial Diseases and Complex Phenotypes Research Area | Gonfiantini M.V.,Multifactorial Diseases and Complex Phenotypes Research Area | And 3 more authors.
PLoS ONE | Year: 2013

Twitter has the potential to be a timely and cost-effective source of data for syndromic surveillance. When speaking of an illness, Twitter users often report a combination of symptoms, rather than a suspected or final diagnosis, using naïve, everyday language. We developed a minimally trained algorithm that exploits the abundance of health-related web pages to identify all jargon expressions related to a specific technical term. We then translated an influenza case definition into a Boolean query, each symptom being described by a technical term and all related jargon expressions, as identified by the algorithm. Subsequently, we monitored all tweets that reported a combination of symptoms satisfying the case definition query. In order to geolocalize messages, we defined 3 localization strategies based on codes associated with each tweet. We found a high correlation coefficient between the trend of our influenza-positive tweets and ILI trends identified by US traditional surveillance systems. © 2013 Gesualdo et al.

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