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1.
J Geriatr Oncol ; 7(3): 211-8, 2016 05.
Artigo em Inglês | MEDLINE | ID: mdl-27067580

RESUMO

OBJECTIVE: This study aims to identify Comprehensive Geriatric Assessment (CGA) based risk factors to help predict caregiver burden among elderly patients with cancer. MATERIALS AND METHOD: The study evaluated 249 patients newly diagnosed with cancer, aged 70years and above, who attended the geriatric oncology clinic at the National Cancer Centre Singapore between 2007 and 2010. RESULTS: Out of 249 patients, 244 patients had information available on family caregiver burden and were analysed. On univariate analysis, ADL dependence, lower IADL scores, ECOG performance status of 3-4, higher fall risk, lower scores in dominant hand grip strength test and mini mental state examination, polypharmacy, higher nutritional risk, haemoglobin <12g/dL and presence of geriatric syndromes were significantly associated with mild to severe caregiver burden. On multivariate analysis, only ECOG performance status of 3-4 (odds ratio [OR], 4.47; 95% confidence interval [CI], 2.27-8.80) and haemoglobin <12g/dL (OR, 2.38; 95% CI, 1.14-4.99) were associated with an increased probability of mild to severe caregiver burden. The model achieved a good fit (Hosmer-Lemeshow's p=0.196) and discrimination (area under the curve [AUC]=0.742; bias-corrected AUC=0.737). Based on this, patients were stratified into 3 risk groups with different proportion of patients with increased caregiver burden (low risk: 3.9% vs intermediate risk: 18.8% vs high risk: 39.6%; p<0.001). CONCLUSION: ECOG performance status and haemoglobin were associated with increased caregiver burden among elderly patients with cancer. Using these two factors in the clinic may help clinicians identify caregivers at risk and take preventive action to mitigate that.


Assuntos
Acidentes por Quedas/estatística & dados numéricos , Atividades Cotidianas , Cuidadores , Fragilidade/epidemiologia , Avaliação Geriátrica , Força da Mão , Neoplasias/epidemiologia , Polimedicação , Idoso , Idoso de 80 Anos ou mais , Área Sob a Curva , Feminino , Hemoglobinas/metabolismo , Humanos , Modelos Logísticos , Masculino , Testes de Estado Mental e Demência , Análise Multivariada , Neoplasias/enfermagem , Avaliação Nutricional , Razão de Chances , Fatores de Risco , Singapura/epidemiologia
2.
J Clin Oncol ; 29(27): 3620-7, 2011 Sep 20.
Artigo em Inglês | MEDLINE | ID: mdl-21859998

RESUMO

PURPOSE: To determine the impact of each comprehensive geriatric assessment (CGA) domain on overall survival (OS) and develop a prognostic scoring system for elderly patients with cancer. PATIENTS AND METHODS: A retrospective analysis of CGA data collected from 249 consecutive patients with cancer who attended the outpatient geriatric oncology clinic at the National Cancer Center Singapore age 70 years or older was performed. Univariate and multivariate analyses were performed using Cox proportional hazards method to identify significant prognostic factors within the CGA. A simple nomogram to predict OS was developed using regression coefficients from the multivariate model. Concordance between predicted and observed response of the individual patient score was evaluated by means of Harrell's c-index. Calibration was performed using simulated data via bootstrap. RESULTS: Median age of the patients was 77 years (range, 70 to 94 years). In our model, age (hazard ratio [HR], 1.04; 95% CI, 1.01 to 1.07), abnormal albumin level (HR, 1.97; 95% CI, 1.23 to 3.15), poor Eastern Cooperative Oncology Group performance status (≥ 2 v < 2: HR, 1.77; 95% CI, 1.15 to 2.72), abnormal geriatric depression scale status (HR, 1.81; 95% CI, 1.29 to 2.56), high malnutrition risk (high v low risk: HR, 1.84; 95% CI, 1.17 to 2.87), and advanced disease stage (late v early: HR, 1.71; 95% CI, 0.98 to 2.95) were independent predictors of survival. CONCLUSION: Results confirm the importance of the CGA in assessment of elderly patients with cancer. The development of this nomogram incorporating these prognostic factors helps predict OS of patients, for further intervention.


Assuntos
Avaliação Geriátrica , Neoplasias/mortalidade , Idoso , Idoso de 80 Anos ou mais , Povo Asiático , Depressão , Feminino , Nível de Saúde , Humanos , Masculino , Análise Multivariada , Estadiamento de Neoplasias , Prognóstico , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Albumina Sérica/análise , Singapura , Inquéritos e Questionários , Taxa de Sobrevida
3.
Protein Pept Lett ; 16(5): 490-8, 2009.
Artigo em Inglês | MEDLINE | ID: mdl-19442228

RESUMO

Human chitinases (EC.3.2.1.14) are classified into family 18 of glycosyl hydrolase (GH18) superfamily based on their amino acid sequence similarities. Active chitinase hydrolyzes chitin, a beta-1,4-linked N-acetyl-D-glucosamine oligosaccharide. Chitin is a major structural component of the insect exoskeletons and fungal cell walls, but is not found in vertebrates. In human, eight GH18 chitinases have been identified including active chitotriosidase and acidic mammalian chitinase. Most of the human chitinases lack chitinolytic activity due to mutation of an essential glutamic acid residue at the catalytic domain, and they are termed chitolectin. This review highlights some characteristics of human chitinases, compares structural differences among some human GH18 members, and discusses their cellular regulation and function. Finally, we summarize current views on the role of human chitinases in a variety of human diseases.


Assuntos
Quitinases/metabolismo , Doença , Sequência de Aminoácidos , Animais , Biomarcadores/química , Biomarcadores/metabolismo , Quitinases/química , Humanos , Dados de Sequência Molecular
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