SALMA ROSE IMANARI RIBEIZ
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina
LIM/21 - Laboratório de Neuroimagem em Psiquiatria, Hospital das Clínicas, Faculdade de Medicina
LIM/21 - Laboratório de Neuroimagem em Psiquiatria, Hospital das Clínicas, Faculdade de Medicina
16 resultados
Resultados de Busca
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- Validation of a treatment algorithm for major depression in an older Brazilian sample(2013) RIBEIZ, Salma R. I.; AVILA, Renata; MARTINS, Camila B.; MOSCOSO, Marco A. A.; STEFFENS, David C.; BOTTINO, Cassio M. C.Objective The aim of this study was to investigate the effectiveness of a modified version of the Duke Somatic Algorithm Treatment for Geriatric Depression (STAGED) in a Brazilian sample of older patients with major depression. Besides, we aimed to investigate possible baseline predictive factors for remission in this sample. Methods Sixty-seven depressed individuals were treated according to STAGED over 24 weeks in a prospective cohort design with follow-up. All patients had criteria for major depression and were at least 60 years of age at baseline enrollment. Results During this follow-up, 56 patients could be classified in remitted or not remitted group, 42.85% reached remission, and 57.14% did not reach remission. These results are even better than those found in the original study, probably due to the lower baseline depression severity of our sample. When baseline characteristics were compared between remitted and not remitted groups, scores of Mini Mental State Examination and Cambridge Cognitive Examination (CAMCOG) were the only variables with statistical significant difference (p<0.05) between groups. Logistic regression analysis was carried out to try to predict remission and statistical significance (p<0.05) was found only for baseline MMSE scores. It may mean that patients with mixed cognitive disorders and mood disorders have a worse course of depression. Conclusions This version of STAGED seems to be a useful strategy for treatment of depression in late life. Baseline general cognitive performance might be useful to predict remission of depression in older patients with mild to moderate depression. Further research with different population characteristics should be conducted in order to evaluate its usefulness and feasibility in different settings.
- Serum cortisol level and depression severity in a sample of Brazilian elders(2017) ARAUJO, Luis Fernando S. C. de; RIBEIZ, Salma Rose Imanari; MARTINS, Camila Bertini; BOTTINO, Cassio M. C.
- Structural Brain Changes as Biomarkers and Outcome Predictors in Patients with Late-Life Depression: A CrossSectional and Prospective Study(2013) RIBEIZ, Salma R. I.; DURAN, Fabio; OLIVEIRA, Melaine C.; BEZERRA, Diana; CASTRO, Claudio Campi; STEFFENS, David C.; BUSATTO FILHO, Geraldo; BOTTINO, Cassio M. C.The relationship between structural changes in grey matter and treatment response in patients with late-life depression remains an intriguing area of research. This magnetic resonance imaging (MRI) study compares the baseline grey matter volume of elderly people with and without major depression (according to the DSM-IV-TR criteria) and assesses its association with antidepressant treatment response. Brain MRI scans were processed using statistical parametric mapping and voxel-based morphometry. The sample consisted of 30 patients with depression and 22 healthy controls. We found a significant volumetric reduction in the orbitofrontal cortex bilaterally in patients in comparison with controls. According to their remission status after antidepressant treatment, patients were classified as remitted or not remitted. Compared with controls, remitted patients showed a volumetric reduction in the orbitofrontal cortex bilaterally and in another cluster in the right middle temporal pole. Non-remitted patients showed an even greater volumetric reduction in the orbitofrontal cortex bilaterally compared with controls. To investigate predictive factors of remission after antidepressant treatment, we used a logistic regression. Both baseline Mini Mental State Examination score and baseline left superior lateral orbitofrontal cortex volume (standardized to the total grey matter volume) were associated with remission status. Our findings support the use of regional brain atrophy as a potential biomarker for depression. In addition, baseline cognitive impairment and regional grey matter abnormalities predict antidepressant response in patients with late-life depression.
conferenceObject Mental health in medical students before and during COVID-19 pandemic, a 3-year prospective study(2021) NUNES, Paula; PEREIRA, Mariana Berwerth; CASAGRANDE, Amanda Victoria; ALMEIDA, Beatriz Cantieri; NEVES, Beatriz Astolfi; SILVA, Thamires Clair Rodrigues Pereira da; MISKULIN, Fabricio Petermann Choueiri; PERISSOTTO, Thais; RIBEIZ, Salma Rose ImanariconferenceObject Depressive symptoms in older primary care patients: Results of the ""prevention and treatment of depression in elderly"" study in Brazil(2015) BOTTINO, Cassio M. C.; RIBEIZ, Salma; BASSOLI, Lucas; ALEXANDRINO-SILVA, Clovis- Mental health in medical students during COVID-19 quarantine: a comprehensive analysis across year-classes(2021) PERISSOTTO, Thais; SILVA, Thamires Clair Rodrigues Pereira da; MISKULIN, Fabricio Petermann Choueiri; PEREIRA, Mariana Berwerth; NEVES, Beatriz Astolfi; ALMEIDA, Beatriz Cantieri; CASAGRANDE, Amanda Victoria; RIBEIZ, Salma Rose Imanari; NUNES, Paula VillelaOBJECTIVES: The COVID-19 pandemic brought abrupt changes when quarantine measures were implemented. Most medical students had distance learning as their main content delivery mode, but in clerkship (fifth and sixth years), in-person activities were maintained under new protocols. These different modes may have affected student mental health. This study examines mental burden and empathy in medical students during the beginning of the COVID-19 pandemic according to the year of attendance. METHODS: All students attending first to the sixth year in the same medical school were invited to participate. The Hospital Anxiety and Depression Scale (HADS), the Self-Reporting Questionnaire (SRQ-20), the Interpersonal Reactivity Index (IRI), and the Mindful Attention Awareness Scale (MAAS) were provided. RESULTS: HADS scores for Anxiety and Depression (n=347) were 9.8 +/- 4.3 and 7.1 +/- 3.6, respectively; the SRQ-20 (n=373) score was 8.1 +/- 4.5; all scores were negatively correlated with the year of attendance. IRI (n=373) scores were: 2.6 +/- 0.5 (Empathic Concern), 2.7 +/- 0.7 (Perspective Taking), 2.5 +/- 0.9 (Fantasy), and 1.7 +/- 0.7 (Personal Distress). Fantasy was negatively correlated with the year of attendance. MAAS scores were positively correlated with the year of attendance. Worse mental health scores were found for first-year students across all scales. CONCLUSIONS: We found high levels of mental burden in medical students in the early period of the COVID-19 pandemic, especially in first-year students, who may have fewer resources to deal with stress. Moreover, as they entered college a short time before the pandemic, they were unable to experience academic life fully or create important new social support networks to deal with adversities.
- Mental Health of Medical Students Before and During COVID-19 Pandemic: a 3-Year Prospective Study(2022) PEREIRA, Mariana Berwerth; CASAGRANDE, Amanda Victoria; ALMEIDA, Beatriz Cantieri; NEVES, Beatriz Astolfi; SILVA, Thamires Clair Rodrigues Pereira da; MISKULIN, Fabricio Petermann Choueiri; PERISSOTTO, Thais; RIBEIZ, Salma Rose Imanari; NUNES, Paula VillelaBackground Very few studies prospectively analyzed medical students' mental health before and during the COVID-19 pandemic. This study aimed to prospectively evaluate mental health in medical students in 2018, 2019, and 2020 during the COVID-19 pandemic lockdown. Methods All students from first to fourth year were invited to participate in 2018. These students were also invited to participate in the same period in 2019 and 2020 (during the peak of the COVID-19 lockdown). The Self-Reporting Questionnaire (SRQ-20), created by the WHO to investigate 20 nonpsychotic psychiatric symptoms, was used to evaluate common mental disorders. The cut-off for relevant symptom severity for mental distress is seven (SRQ-20 >= 7). Results In the years 2018, 2019, and 2020, a total of 860 SRQ-20 questionnaires were completed. Overall, mean SRQ-20 scores were 8.2 +/- 4.6, and SRQ-20 >= 7 frequency was 60.5%. When comparing the years 2018, 2019, and 2020, no differences were found for either SRQ-20 scores (8.4 +/- 4.7, 8.2 +/- 4.6, and 7.8 +/- 4.4, respectively; p = 0.351) or SRQ-20 >= 7 frequency (62.2%, 60.9%, and 59.2%, respectively; p = 0.762). Conclusion In contrast to our initial hypothesis, stable results on mental health measures were found even during the 2020 COVID-19 lockdown. Maintenance of daily routines through distance learning and the continuation of adapted clerkship activities with strict safety measures could have contributed to these results. However, this study points to high overall levels of common mental disorders, especially among women. Further studies should be conducted to understand all the factors responsible for such stability, such as social and economic support, resilience, or even previous high levels of common mental disorders.
- Treatment of Depression in Older Adults(2012) BOTTINO, Cassio M. C.; BARCELOS-FERREIRA, Ricardo; RIBEIZ, Salma R. I.Depression is the most frequent mental disorder in older people, often causing emotional distress and reduced quality of life. Despite its clinical significance, depression remains underdiagnosed and inadequately treated in older patients. Regarding prognosis, data suggest that almost 70% of patients, treated long enough and with appropriate doses, recover from an index episode of depression. Antidepressants are efficient for treating depressed outpatients with several comorbid physical diseases as well as hospitalized patients, with selective serotonin reuptake inhibitors being the antidepressants of choice for older patients. Available data can guide pharmacological treatment in both the acute and maintenance stages, but further research is required to guide clinical strategies when remission is not achieved. Approaches for the management of resistance to treatment are summarized, including optimization strategies, drug changes, algorithms, and combined and augmentation pharmacological treatments. Finally, additional therapeutic choices such as electroconvulsive therapy, transcranial magnetic stimulation, and integrated psychotherapy are presented.
- DTI voxelwise analysis did not differentiate older depressed patients from older subjects without depression(2012) BEZERRA, Diana Moitinho; PEREIRA, Fabricio R. S.; CENDES, Fernando; JACKOWSKI, Marcel Parolin; NAKANO, Eduardo Y.; MOSCOSO, Marco A. A.; RIBEIZ, Salma R. I.; AVILA, Renata; CASTRO, Claudio Campi de; BOTTINO, Cassio M. C.Introduction: Neuroimaging has been widely used in studies to investigate depression in the elderly because it is a noninvasive technique, and it allows the detection of structural and functional brain alterations. Fractional anisotropy (FA) and mean diffusivity (MD) are neuroimaging indexes of the microstructural integrity of white matter, which are measured using diffusion tensor imaging (DTI). The aim of this study was to investigate differences in FA or MD in the entire brain without a previously determined region of interest (ROI) between depressed and non-depressed elderly patients. Method: Brain magnetic resonance imaging scans were obtained from 47 depressed elderly patients, diagnosed according to DSM-IV criteria, and 36 healthy elderly patients as controls. Voxelwise statistical analysis of FA data was performed using tract-based spatial statistics (TBSS). Results: After controlling for age, no significant differences among FA and MD parameters were observed in the depressed elderly patients. No significant correlations were found between cognitive performance and FA or MD parameters. Conclusion: There were no significant differences among FA or MD values between mildly or moderately depressed and non-depressed elderly patients when the brain was analyzed without a previously determined ROI.
bookPart Transtorno depressivo no idoso(2021) RIBEIZ, Salma Rose Imanari; KAHTALIAN, Laís Lundstedt; BARBOSA, Samoara Correa