Low prevalence of Post-thrombotic syndrome in patients treated with rivaroxaban.

Post-thrombotic syndrome (PTS) is a complication of deep vein thrombosis (DVT). Residual vein thrombus (RVT) on Doppler Ultrasound can be associated with PTS. Limited data are available on the effect of direct oral anticoagulants (DOACs) on the long-term outcome of PTS. This study aimed to compare the prevalence of PTS and RVT, in patients with previous DVT treated with rivaroxaban or enoxaparin/warfarin. A total of 129 patients with previous proximal lower limb DVT and treated with rivaroxaban (n = 71) or enoxaparin/warfarin (n = 58) for at least 3 months were included. The Villalta scale for PTS was performed after treatment. The median duration of the DVT symptoms before anticoagulation was 7 days for both groups. The rate of PTS was 50.7% in the patients treated with rivaroxaban and 69% in the enoxaparin/warfarin group. Enoxaparin/warfarin showed an increased prevalence of PTS (P = .018). An analysis in 3 different models showed that the relative risk of PTS decreased by 76% with rivaroxaban use when compared with enoxaparin/warfarin treatment. In addition, 93 of the 129 patients were evaluated regarding the presence of RVT, of which, 11 (24.4%) and 31 (64.6%) presented with RVT for rivaroxaban and enoxaparin/warfarin, respectively (P < .0001). The RVT analysis excluded the possibility of RVT as a mediator of the association between type of treatment and PTS when comparing rivaroxaban with enoxaparin/warfarin (odds ratio (OR) = 0.14; 95% confidence interval (CI): 0.1-1.0, P = .051) with rivaroxaban compared with enoxaparin/warfarin. Rivaroxaban treatment was associated with a lower risk of PTS when compared to enoxaparin/warfarin; RVT however, was not a mediator in the association between PTS and type of treatment.

Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach.

Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuroanatomical changes tend to be more pronounced in patients with repeated episodes. Although the role of such changes in cognition and memory is well established, daily-life functioning impairments bulge among the consequences of the proposed progression. The objective of this study was to analyze MRI volumetric modifications in BD and healthy controls (HC) as possible predictors of daily-life functioning through a machine learning approach. Ninety-four participants (35 DSM-IV BD type I and 59 HC) underwent clinical and functioning assessments, and structural MRI. Functioning was assessed using the Functioning Assessment Short Test (FAST). The machine learning analysis was used to identify possible candidates of regional brain volumes that could predict functioning status, through a support vector regression algorithm. Patients with BD and HC did not differ in age, education and marital status. There were significant differences between groups in gender, BMI, FAST score, and employment status. There was significant correlation between observed and predicted FAST score for patients with BD, but not for controls. According to the model, the brain structures volumes that could predict FAST scores were: left superior frontal cortex, left rostral medial frontal cortex, right white matter total volume and right lateral ventricle volume. The machine learning approach demonstrated that brain volume changes in MRI were predictors of FAST score in patients with BD and could identify specific brain areas related to functioning impairment.

Pleasantness of facial profile and its correlation with soft tissue cephalometric parameters: Perception of orthodontists and lay people.

OBJECTIVE: This study was aimed to evaluate the perception of orthodontists and of lay people about the facial profile and its possible correlation with cephalometrics parameters. MATERIALS AND METHODS: A total of 20 evaluators were divided into two groups (10 orthodontists and 10 people with no relation to such area - lay people). They were asked to evaluate the photographs of 25 young males and of 25 young females, aged 17-24-year-old (mean age of 22.3 years, standard deviation 2.41 years). Photographs were randomly arranged in a photo album. The evaluators rated each photograph by means of a scale ranging from "good" to "deficient" based on the pleasantness of their facial profile. Nasolabial angle, Holdaway's H-line and the distance from H-line to nose tip were measured, in order to verify a possible relation between these soft tissue profile cephalometric measurements and the subjective ratings. RESULTS: The kappa statistics test showed a concordance of 0.23 among orthodontists and 0.24 among lay people. Regarding the perception of orthodontists and lay people on facial profile, no significant divergence could be detected. For the correlation between cephalometric parameters and subjective ratings, there was a statistically significant correlation between the measures H and H-nose and the rating ascribed to the profile. CONCLUSIONS: It was concluded that smaller the difference from the normal cephalometric pattern, the higher was the rating given to the profile, demonstrating an important relation between subjective and objective criteria.

Pharmacological treatment and staging in bipolar disorder: evidence from clinical practice

Objectives: Staging models for medical diseases are widely used to guide treatment and prognosis. Bipolar disorder (BD) is a chronic condition and it is among the most disabling disorders in medicine. The staging model proposed by Kapczinski in 2009 presents four progressive clinical stages of BD. Our aim was to evaluate pharmacological maintenance treatment across these stages in patients with BD. Methods: One hundred and twenty-nine subjects who met DSM-IV criteria for BD were recruited from the Bipolar Disorders Program at Hospital de Clínicas de Porto Alegre, Brazil. All patients were in remission. The subjects were classified according to the staging model: 31 subjects were classified as stage I, 44 as stage II, 31 as stage III, and 23 as stage IV. Results: Patterns of pharmacological treatment differed among the four stages (p = 0.001). Monotherapy was more frequent in stage I, and two-drug combinations in stage II. Patients at stages III and IV needed three or more medications or clozapine. Impairment in functional status (Functioning Assessment Short Test [FAST] scale scores) correlated positively with the number of medications prescribed. Conclusions: This study demonstrated differences in pharmacological treatment in patients with stable BD depending on disease stage. Treatment response can change with progression of BD. Clinical guidelines could consider the staging model to guide treatment effectiveness. .

Pharmacological treatment and staging in bipolar disorder: evidence from clinical practice.

OBJECTIVES: Staging models for medical diseases are widely used to guide treatment and prognosis. Bipolar disorder (BD) is a chronic condition and it is among the most disabling disorders in medicine. The staging model proposed by Kapczinski in 2009 presents four progressive clinical stages of BD. Our aim was to evaluate pharmacological maintenance treatment across these stages in patients with BD. METHODS: One hundred and twenty-nine subjects who met DSM-IV criteria for BD were recruited from the Bipolar Disorders Program at Hospital de Clínicas de Porto Alegre, Brazil. All patients were in remission. The subjects were classified according to the staging model: 31 subjects were classified as stage I, 44 as stage II, 31 as stage III, and 23 as stage IV. RESULTS: Patterns of pharmacological treatment differed among the four stages (p = 0.001). Monotherapy was more frequent in stage I, and two-drug combinations in stage II. Patients at stages III and IV needed three or more medications or clozapine. Impairment in functional status (Functioning Assessment Short Test [FAST] scale scores) correlated positively with the number of medications prescribed. CONCLUSIONS: This study demonstrated differences in pharmacological treatment in patients with stable BD depending on disease stage. Treatment response can change with progression of BD. Clinical guidelines could consider the staging model to guide treatment effectiveness.

Bipolar disorder affects behavior and social skills on the Internet.

BACKGROUND: Bipolar disorder (BD) is a significant cause of functional, cognitive, and social impairment. However, classic studies of functioning and social skills have not investigated how BD may impact behavior on the Internet. Given that the digital age has been changing the way people communicate, this study aims to investigate the pattern of Internet use in patients with BD. METHODS: This cross-sectional study assessed 30 patients with BD I or II and 30 matched controls. Patients were not in an acute mood episode, according to DSM-IV. A standard protocol examined sociodemographic variables and social behavior on the Internet, assessed by Facebook number of friends (FBN) and lifetime estimated number of offline contacts (social network number, SNN). RESULTS: SNN (p<0.001) and FBN (p = 0.036) of patients with BD were significantly lower than those of controls. Also, variables related with Internet use were significantly lower in patients, e.g., close contacts on Facebook (p = 0.021), Internet experience (p = 0.020), and knowledge of terms associated with social networking sites (p = 0.042). Also, patients showed lower rates of the expected pattern of Internet use (based on their age generation), including a poorer knowledge of SNS (p = 0.018) and a lower frequency of Internet use (p = 0.010). DISCUSSION: This study suggests that patients with BD show smaller social networks both in real-world settings and on the Internet. Also, patients tend to use the Internet and social networking sites less frequently and show a poorer knowledge of Internet and social media than healthy controls, below the expected for their generation. These significant differences between patients and controls suggest that the effects of BD on social relationships and functioning extend to electronic media.