Navegando por Autor "Sousa, Iasmin Matias"

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Agreement between muscle mass assessments by computed tomography and calf circumference in patients with cancer: a cross-sectional study
(Clinical Nutrition Espen, 2022-02) Fayh, Ana Paula Trussardi; Sousa, Iasmin Matias; Gonzalez, Maria Cristina; Bielemann, Renata Moraes; Rocha, Ilanna Marques Gomes; Barbalho, Erica Roberta; Carvalho, Ana Lúcia Miranda; Medeiros, Galtieri Otávio Cunha; Silva, Flávia Moraes
Background & aims: Cancer influences body composition, including a loss of muscle mass (MM), associated with worse outcomes. The study aimed to evaluate the agreement between MM estimated by calf circumference (CC) and computed tomography (CT) image as a reference method. Methods: A cross-sectional study including patients (>20 years) diagnosed with cancer attending a reference center of oncology. Spearman's correlation was performed to verify the correlation between CC and MM by CT, including skeletal muscle area - SMA and skeletal muscle index - SMI. ROC curves, Kappa coefficient, sensitivity, specificity, positive and negative predictive values were obtained. Results: The study included 219 patients, age 62.9 ± 13.1 years (mean ± standard deviation). Low CC was observed in 43.8% of the patients, and 29.2% had low SMI. CC positively correlated with SMA (rho ¼ 0.333) and SMI (rho ¼ 0.329), and fair agreements (K ¼ 0.268) were observed between CC and SMI, with higher and significant values for males (K ¼ 0.332) and patients below 60 years (K ¼ 0.419). The area under the curve (AUC) for low CC to identifying low SMI was equal to 0.685 (CI 95% 0.606 e0.765). Low CC presented fair agreement to identify low SMI in the sample; however, the negative predictive value was almost 80% for all analyses. Conclusions: Low CC is not a surrogate for low SMI in patients with cancer, but it could be an alternative, non-invasive, easy-to-perform method to pre-screen patients with cancer with adequate SMI
Assessment of body composition in adults hospitalized with acute COVID-19: a scoping review
(Frontiers In Nutrition, 2023-09) Fayh, Ana Paula Trussardi; Virgens, Isabel Pinto Amorim das; Sousa, Iasmin Matias; Bezerra, Agnes Denise Lima
Introduction: Body composition (BC) assessment can supply accurate information for in-hospital nutritional evaluation. The aim of this study was to explore in the literature how the studies assessed BC, for what purpose, and investigate the role of BC findings in COVID-19 hospitalized patients’ outcomes. Methods: A scoping review was conducted according to the methodology available on the Joanna Briggs Institute website. We used the PCC acronym for the systematic search (population: adults with COVID-19, concept: assessment of BC, context: hospital setting) and performed it on PubMed, Scopus, and the Web of Science on 16 September 2022. Eligibility criteria consisted of the utilization of BC assessment tools in COVID-19 patients. Studies in which BC was solely measured with anthropometry (perimeters and skinfolds) were excluded. No language restriction was applied. Results: Fifty-five studies were eligible for the review. Out of the 55 studies, 36 used computed tomography (CT), 13 used bioelectrical impedance (BIA), and 6 used ultrasound (US). No studies with D3-creatinine, 24 h urine excretion, dualenergy X-ray absorptiometry, or magnetic resonance were retrieved. BC was mainly assessed to test associations with adverse outcomes such as disease severity and mortality. Discussion: Studies assessing BC in hospitalized patients with COVID-19 used mainly CT and BIA and associated the parameters with severity and mortality. There is little evidence of BC being assessed by other methods, as well as studies on BC changes during hospitalization
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction
(Nutrition In Clinical Practice, 2023-09) Fayh, Ana Paula Trussardi; Lopes, Márcia Marília Gomes Dantas; Sousa, Iasmin Matias; Queiroz, Sandra Azevedo; Bezerra, Mara Rubia de Oliveira; Gonzalez, Maria Cristina
Background: The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post‐AMI. Methods: This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre‐existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed‐up until hospital discharge, and their length of stay was observed. Results: A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3. Conclusion: Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post‐AMI to improve their clinical status
Comparação da composição corporal por tomografia computadorizada em pacientes com câncer colorretal metastático e não metastático
(Universidade Federal do Rio Grande do Norte, 2023-06-19) Bennemann, Nithaela Alves; Fayh, Ana Paula Trussardi; Sousa, Iasmin Matias; http://lattes.cnpq.br/0193093200384161; http://lattes.cnpq.br/0049770583345803; https://lattes.cnpq.br/8066793951438238; Fayh, Ana Paula Trussardi; http://lattes.cnpq.br/0049770583345803; Sousa, Iasmin Matias; http://lattes.cnpq.br/0193093200384161; Miranda, Ana Lúcia; http://lattes.cnpq.br/0824288222947545
Pacientes com câncer frequentemente apresentam alterações da composição corporal (CC), sendo a redução da massa muscular esquelética (MME) comum, e vinculada a piores desfechos clínicos da doença. A presença de metástases torna o câncer não curável e submete os pacientes a alterações metabólicas que envolvem o aumento da inflamação causada pelo tumor, o que pode agravar distúrbios nutricionais. Dessa forma, o objetivo do estudo é comparar a CC de pacientes com câncer colorretal (CCR) metastático e não metastático. Trata-se de um estudo transversal, multicêntrico, com pacientes de idade ≥ 18 anos, de ambos os sexos, com recém diagnóstico de CCR e que apresentavam imagens de tomografia computadorizada da região abdominal. A quantificação da imagem incluiu MME, tecido adiposo intramuscular (TAI), tecido adiposo visceral (TAV) e tecido adiposo subcutâneo (TAS). As áreas dos tecidos foram medidas com o uso do Software SliceOmatic versão 5.0 (TomoVision). Os dados foram analisados pelo software estatístico SPSS versão 22.0. A normalidade das variáveis numéricas foi testada pelo teste de Kolmogorov-Smirnov. Os dados numéricos estão apresentados como mediana e intervalo interquartil e comparados usando o teste de Mann-Whitney. Os dados categóricos estão apresentados em frequência absoluta e relativa e comparados pelo teste Qui-quadrado. A CC foi medida a partir de uma única imagem a nível da L3, selecionada pelo software Radiante. A amostra composta por 436 indivíduos, apresentou idade média de 61,5 anos, sendo 50% do sexo feminino. A presença de metástases teve frequência de 23,8%, e o diagnóstico de câncer de cólon de 61%. Dos pacientes 50,7% apresentaram histórico tabagista, 49,5% histórico etilista, e 49,5% comorbidades. Com relação às características nutricionais, a maioria dos pacientes encontrava-se na faixa de eutrofia (51,1%). Não foram observadas diferenças significativas na CC dos pacientes de acordo com o estadiamento, entretanto, pacientes com metástase apresentaram menores valores numéricos para MME (112,3 cm2 vs 117,8 cm2), índice muscular esquelético (45,5 cm2/m2 vs 46 cm2/m2), TAV (95,0 cm2 vs 100.1 cm2) e TAI (9,0 cm2 vs 9,8 cm2). Comparar a CC de acordo com o estágio do câncer é importante para trazer evidências de como a progressão da doença pode impactar neste aspecto, portanto, tornam-se necessários estudos com a abordagem semelhante ao presente estudo. Dessa forma, o estudo mostrou que não há diferenças significativas na composição corporal de pacientes recém diagnosticados com CCR de acordo com a presença ou não de metástases.
Is the ECOG-PS similar to the sarcopenia status for predicting mortality in older adults with cancer? a prospective cohort study
(Supportive Care In Cancer, 2023-06) Fayh, Ana Paula Trussardi; Sousa, Iasmin Matias
Purpose Sarcopenia is a muscle dysfunction that increases negative outcomes in patients with cancer. However, its diagnosis remains uncommon in clinical practice. The Eastern Cooperative Oncology Group Performance Status (ECOG-PS) is a questionnaire to assess the functional status, but it is unknown if is comparable with sarcopenia. We aimed at comparing ECOG-PS with sarcopenia to predict 12-month mortality in patients with cancer. Methods Cohort study including older adult patients with cancer in treatment (any stage of the disease or treatment) at a reference hospital for oncological care. Socio-demographic, clinical, and anthropometric data, muscle mass, and physical function variables (handgrip strength [HGS] and gait speed [GS]) were collected. Skeletal muscle quantity and quality were assessed by computed tomography at the L3. Sarcopenia was diagnosed according to the EWGSP2. ECOG-PS and all-cause mortality were evaluated. The Cox proportional hazards model was calculated. Results We evaluated 159 patients (69 years old, 55% males). Low performance (ECOG-PS≥2) was found in 23.3%, 35.8% presented sarcopenia, and 22.0% severe sarcopenia. ECOG-PS≥2 was not an independent predictor of mortality. Sarcopenia, severe sarcopenia, and probable sarcopenia has increased by 3.25 (confdence interval, CI 95% 1.55–6.80), 2.64 (CI 95% 1.23–5.67), and 2.81 (CI 95% 1.30–6.07) times the risk of mortality, respectively. Conclusion Sarcopenia, but not ECOG-PS, was a predictor of mortality. Therefore, ECOG-PS was not similar to sarcopenia to predict mortality in patients with cancer
Low calf circumference is an independent predictor of mortality in cancer patients: a prospective cohort study
(Nutrition, 2020-11) Fayh, Ana Paula Trussardi; Sousa, Iasmin Matias; Bielemann, Renata Moraes; Gonzalez, Maria Cristina; Rocha, Ilanna Marques Gomes da; Barbalho, Erica Roberta; Carvalho, Ana Lúcia Miranda de; Dantas, Maria Amélia Marques; Medeiros, Galtieri Otávio Cunha de; Silva, Flavia Moraes
Objective: Loss of muscle mass is associated with worse outcomes in patients with cancer. The objective of this study was to evaluate the prognostic value of calf circumference (CC) and skeletal muscle index from computed tomography (CT) to predict mortality in patients with cancer. Methods: A single-center prospective study was conducted with patients aged 20 y attending a reference center of oncology and who had recent abdominal CT images. Data were collected through a semistructured form and patients’ records and included sociodemographic data (sex, age and ethnicity), clinical data (primary site and staging of tumor and treatments performed), anthropometric variables (body mass index and CC), and outcome (death). Low CC for men was considered to be 34 cm and for women 33 cm. Muscle mass was assessed by CT images at the level of L3. The Cox proportional hazard model adjusted for age, sex, and staging of disease was used. Results: A total of 250 patients were evaluated, 52.8% female, with a median age of 63 y (interquartile ratio: 5573). Normal body mass index was identified in 44.4%; 29.2% had low skeletal muscle index, and 46.4% had low CC. Death by any cause occurred in 16%, and only low CC was a significant predictor of mortality (hazard ratio = 3.01; confidence interval 1.525.98; P = 0.002). Conclusions: Low CC can predict risk of mortality in this cohort of patients. The findings suggest the use of CC as a simple, easy, cost-effective anthropometric measurement to quickly screen patients at risk of death who could benefit from targeted care to improve their prognosis
Prognostic value of isolated sarcopenia or malnutrition–sarcopenia syndrome for clinical outcomes in hospitalized patients
(Nutrients, 2022-05) Fayh, Ana Paula Trussardi; Sousa, Iasmin Matias; Burgel, Camila Ferri; Silva, Flávia Moraes
Malnutrition–sarcopenia syndrome (MSS) is frequent in the hospital setting. However, data on the predictive validity of sarcopenia and MSS are scarce. We evaluated the association between sarcopenia and MSS and clinical adverse outcomes (prolonged length of hospital stay—LOS, sixmonth readmission, and death) using a prospective cohort study involving adult hospitalized patients (n = 550, 55.3 ± 14.9 years, 53.1% males). Sarcopenia was diagnosed according to the EWGSOP2, and malnutrition according to the Subjective Global Assessment (SGA). Around 34% were malnourished, 7% probable sarcopenic, 15% sarcopenic, and 2.5% severe sarcopenic. In-hospital death occurred in 12 patients, and the median LOS was 10.0 days. Within six months from discharge, 7.9% of patients died, and 33.8% were readmitted to the hospital. Probable sarcopenia/sarcopenia had increased 3.95 times (95% CI 1.11–13.91) the risk of in-hospital death and in 3.25 times (95% CI 1.56–6.62) the chance of mortality in six months. MSS had increased the odds of prolonged LOS (OR = 2.73; 95% CI 1.42–5.25), readmission (OR = 7.64; 95% CI 3.06–19.06), and death (OR = 1.15; 95% CI 1.08–1.21) within six months after discharge. Sarcopenia and MSS were predictors of worse clinical outcomes in hospitalized patients

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Navegando por Autor "Sousa, Iasmin Matias"