LIM/66 - Laboratório de Investigação Médica em Envelhecimento
URI Permanente desta comunidade
O Laboratório de Investigação Médica em Envelhecimento é ligado ao Departamento de Departamento de Clínica Médica da Faculdade de Medicina da Universidade de São Paulo (FMUSP).
Linhas de pesquisa: bases epidemiológicas do envelhecimento; capacidade intrínseca; fragilidade; sarcopenia; condições agudas e críticas no envelhecimento; bases educacionais no envelhecimento; promoção do envelhecimento saudável.
Site oficial: http://lim-66-laboratorio-de-investigacao-medica-em-envelhecimento/
Linhas de pesquisa: bases epidemiológicas do envelhecimento; capacidade intrínseca; fragilidade; sarcopenia; condições agudas e críticas no envelhecimento; bases educacionais no envelhecimento; promoção do envelhecimento saudável.
Site oficial: http://lim-66-laboratorio-de-investigacao-medica-em-envelhecimento/
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Coleções desta Comunidade
- LIM/66 - Laboratório de Investigação Médica em Envelhecimento
- LIM/66 - Laboratório de Investigação Médica em Envelhecimento
- LIM/66 - Laboratório de Investigação Médica em Envelhecimento
Submissões Recentes
Crash Risk Predictors in Older Drivers: A Cross-Sectional Study Based on a Driving Simulator and Machine Learning Algorithms
(2023) SILVA, V. C.; DIAS, A. S.; GREVE, J. M. D.; DAVIS, C. L.; SOARES, A. L. D. S.; BRECH, G. C.; AYAMA, S.; JACOB-FILHO, W.; BUSSE, A. L.; BIASE, M. E. M. de; CANONICA, A. C.; ALONSO, A. C.
The ability to drive depends on the motor, visual, and cognitive functions, which are necessary to integrate information and respond appropriately to different situations that occur in traffic. The study aimed to evaluate older drivers in a driving simulator and identify motor, cognitive and visual variables that interfere with safe driving through a cluster analysis, and identify the main predictors of traffic crashes. We analyzed the data of older drivers (n = 100, mean age of 72.5 ± 5.7 years) recruited in a hospital in São Paulo, Brazil. The assessments were divided into three domains: motor, visual, and cognitive. The K-Means algorithm was used to identify clusters of individuals with similar characteristics that may be associated with the risk of a traffic crash. The Random Forest algorithm was used to predict road crash in older drivers and identify the predictors (main risk factors) related to the outcome (number of crashes). The analysis identified two clusters, one with 59 participants and another with 41 drivers. There were no differences in the mean of crashes (1.7 vs. 1.8) and infractions (2.6 vs. 2.0) by cluster. However, the drivers allocated in Cluster 1, when compared to Cluster 2, had higher age, driving time, and braking time (p < 0.05). The random forest performed well (r = 0.98, R2 = 0.81) in predicting road crash. Advanced age and the functional reach test were the factors representing the highest risk of road crash. There were no differences in the number of crashes and infractions per cluster. However, the Random Forest model performed well in predicting the number of crashes.
Risk Factors for the Impairment of Ambulation in Older People Hospitalized with COVID-19: A Retrospective Cohort Study
(2023) SILVA, E. C. G. E.; SCHMITT, A. C. B.; GODOY, C. G. de; OLIVEIRA, D. B. de; TANAKA, C.; TOUFEN, C. Jr.; CARVALHO, C. R. R. de; CARVALHO, C. R. F.; FU, C.; HILL, K. D.; POMPEU, J. E.
(1) Background: Some older people hospitalized with COVID-19 have experienced reduced ambulation capacity. However, the prevalence of the impairment of ambulation capacity still needs to be established. Objective: To estimate the prevalence of, and identify the risk factors associated with, the impairment of ambulation capacity at the point of hospital discharge for older people with COVID-19. (2) Methods: A retrospective cohort study. Included are those with an age > 60 years, of either sex, hospitalized due to COVID-19. Clinical data was collected from patients’ medical records. Ambulation capacity prior to COVID-19 infection was assessed through the patients’ reports from their relatives. Multiple logistic regressions were performed to identify the risk factors associated with the impairment of ambulation at hospital discharge. (3) Results: Data for 429 older people hospitalized with COVID-19 were randomly collected from the medical records. Among the 56.4% who were discharged, 57.9% had reduced ambulation capacity. Factors associated with reduced ambulation capacity at discharge were a hospital stay longer than 20 days (Odds Ratio (OR): 3.5) and dependent ambulation capacity prior to COVID-19 (Odds Ratio (OR): 11.3). (4) Conclusion: More than half of the older people who survived following hospitalization due to COVID-19 had reduced ambulation capacity at hospital discharge. Impaired ambulation prior to the infection and a longer hospital stay were risks factors for reduced ambulation capacity.
Aging predictive factors for oxygenation response and mortality in COVID-19 and acute respiratory distress syndrome (ARDS) patients exposed to prone position: A multicenter cohort study
(2023) CABRAL, Marieta; CUNHA, Amaral; LUNARDI, Adriana C.; SCHARDONG, Jociane; RIGHI, Natiele C.; SANT'ANNA, Guadalupe N.; ISENSEE, Larissa P.; XAVIER, Rafaela F.; POMPEU, Jose E.; WEIGERT, Ranata M.; MATTE, Darlan L.; CARDOSO, Rozana A.; ABRAS, Ana C. V.; SILVA, Antonio M. V.; DORNELES, Camila C.; WERLE, Roberta W.; STARKE, Ana C.; PLENTZ, Rodrigo D. M.; FERREIRA, Juliana C.; CARVALHO, Celso R. F.
The impact of the COVID-19 pandemic on delivering post-acute care in a low- to middle-income country
(2023) ALIBERTI, Marlon Juliano Romero; LEVITES, Marcelo Rozenfeld; BERARDO, Frederico Alberto Nogueira
Aerobic Exercise Modulates Visceral Adipose Tissue of Estrogen Deprived Rats in an Experimental Model of Dyslipidemia
(2024) MAGALHAES, Walkyria Villegas; CHUCATA, Kemily Loren Barros; DSOUKI, Nuha Ahmad; NUCCI, Ricardo Aparecido Baptista; VELOSO, Aparecida Gabriela Bexiga; FONSECA, Fernando Luiz Affonso; MAIFRINO, Laura Beatriz Mesiano
Introduction Menopausal women have an increase deposition of body fat and changes in the lipid profile, being especially susceptible to cardiovascular diseases, and type 2 diabetes. However, physical activity can mitigate this situation. Thus, the aim of the present study is to evaluate the effects of moderate aerobic exercise on visceral adipose tissue (VAT) of female LDL-receptor knockout ovariectomized mice.Methods We used 48 animals, divided into six groups ( n = 8/per group): sedentary control (SC), sedentary ovariectomized control (SCO), trained ovariectomized control (TCO), sedentary non-ovariectomized LDL-receptor knockout (KS), sedentary ovariectomized LDL-receptor knockout (KOS), and trained LDL-receptor knockout ovariectomized (KOT). We analyzed the VAT through morphometric and stereological parameters in hematoxylin and eosin stained sections. Additionally, we evaluated biochemical parameters as glucose, triglycerides, and total cholesterol. Finally, immunohistochemical techniques for matrix remodeling, inflammation, apoptosis, and oxidative stress were evaluated. Results We observed that menopause is related to increased visceral adiposity, inflammation, oxidative stress, macrophages activity, serum levels of glucose, triglycerides, and total cholesterol. However, exercise was effective in reducing these parameters, as well as being associated with increased vascularization of VAT and interstitial volume density. Conclusions Moderate exercise is a key factor in mitigating the effects of dyslipidemia in estrogen deprivation. However, further studies are needed to corroborate with our findings.