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1.
Front Cardiovasc Med ; 8: 721956, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34513959

RESUMO

The prevalence of obesity in the United States approaches half of the adult population. The COVID-19 pandemic endangers the health of obese individuals. In addition, the metabolic syndrome poses a challenge to the health of obese adults. Bariatric surgery and diet restore metabolic homeostasis in obese individuals; however, it is still unclear which strategy is most effective. For example, intermittent fasting improves insulin sensitivity and diet alone decreases visceral adipose tissue at a disproportionately high rate compared to weight loss. Bariatric surgery causes rapid remission of type 2 diabetes and increases incretins for long-term remission of insulin resistance before meaningful weight loss has occurred. Malabsorptive surgeries have provided insight into the mechanism of altering metabolic parameters, but strong evidence to determine the duration of their effects is yet to be established. When determining the best method of weight loss, metabolic parameters, target weight loss, and risk-benefit analysis must be considered carefully. In this review, we address the pros and cons for the optimal way to restore metabolic homeostasis.

2.
IEEE J Biomed Health Inform ; 21(4): 1133-1145, 2017 07.
Artigo em Inglês | MEDLINE | ID: mdl-27254875

RESUMO

With the advent of electronic health records, more data are continuously collected for individual patients, and more data are available for review from past patients. Despite this, it has not yet been possible to successfully use this data to systematically build clinical decision support systems that can produce personalized clinical recommendations to assist clinicians in providing individualized healthcare. In this paper, we present a novel approach, discovery engine (DE), that discovers which patient characteristics are most relevant for predicting the correct diagnosis and/or recommending the best treatment regimen for each patient. We demonstrate the performance of DE in two clinical settings: diagnosis of breast cancer as well as a personalized recommendation for a specific chemotherapy regimen for breast cancer patients. For each distinct clinical recommendation, different patient features are relevant; DE can discover these different relevant features and use them to recommend personalized clinical decisions. The DE approach achieves a 16.6% improvement over existing state-of-the-art recommendation algorithms regarding kappa coefficients for recommending the personalized chemotherapy regimens. For diagnostic predictions, the DE approach achieves a 2.18% and 4.20% improvement over existing state-of-the-art prediction algorithms regarding prediction error rate and false positive rate, respectively. We also demonstrate that the performance of our approach is robust against missing information and that the relevant features discovered by DE are confirmed by clinical references.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Informática Médica/métodos , Medicina de Precisão/métodos , Algoritmos , Registros Eletrônicos de Saúde , Humanos , Aprendizado de Máquina
3.
J Clin Psychiatry ; 63 Suppl 7: 45-8, 2002.
Artigo em Inglês | MEDLINE | ID: mdl-11995778

RESUMO

BACKGROUND: Increased vulnerability to mood disorders has been reported during perimenopause. Fluctuating estrogen levels accompany the perimenopausal transition. Thus, estrogen replacement therapy (ERT) has been proposed as a potentially effective treatment for mood disorders occurring during perimenopause. METHOD: We examined the efficacy of ERT in the treatment of depression in 16 perimenopausal women with DSM-IV-defined major depressive disorder who were participating in the Mood Disorders Research Program at the Department of Psychiatry of the University of California, Los Angeles. Ten antidepressant- and ERT-naive women received ERT alone. Six women who were nonresponders or partial responders to an antidepressant received ERT in addition to existing treatment with fluoxetine. The Hamilton Rating Scale for Depression (HAM-D) was administered to all patients at baseline and weekly thereafter during the 8-week open-protocol trial. Partial response was operationalized as a final HAM-D score < or = 50% of the baseline score. Remission was defined as a final HAM-D score < or = 7. RESULTS: All patients exhibited clinical improvement as measured by HAM-D scores after the first week of treatment. Of the 10 perimenopausal depressed women receiving ERT alone, 6 remitted, 3 partially responded to treatment, and 1 did not respond by the end of the trial. Of the 6 women receiving antidepressant treatment with ERT, 1 patient remitted and 5 had a partial response by the end of the trial. CONCLUSION: This small study suggests that for some antidepressant-naive perimenopausal women with clinical depression, ERT may have antidepressant efficacy. In depressed women who have minimal response to a selective serotonin reuptake inhibitor, ERT may augment response. Further controlled trials are needed.


Assuntos
Climatério/psicologia , Transtorno Depressivo/tratamento farmacológico , Terapia de Reposição de Estrogênios/métodos , Adulto , Climatério/efeitos dos fármacos , Transtorno Depressivo/diagnóstico , Transtorno Depressivo/psicologia , Quimioterapia Combinada , Estradiol/uso terapêutico , Feminino , Fluoxetina/uso terapêutico , Humanos , Pessoa de Meia-Idade , Escalas de Graduação Psiquiátrica , Inibidores Seletivos de Recaptação de Serotonina/uso terapêutico , Resultado do Tratamento
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