Asociación de los indicadores antropométricos y de composición corporal en la predicción de la resistencia a la insulina en pacientes con enfermedad de las arterias coronarias

Nova, Larissa Pessoa Vila; Sá, Cristiane Maria Araújo Tavares de; Silva, Maria Cleide Freire Clementino da; Lustosa, Marinaldo Freire; Medeiros, Rafael Augusto Batista de; Brito, Daniel; Burgos, Maria Goretti Pessôa de Araújo

doi:10.20960/nh.376

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Many classes of antineoplastic drugs produce vascular damage by different mechanisms, which is why hypertension is the most common cardiovascular toxicity among cancer patients and survivors28,29 ,30 . DM, SAH, and DLP have known risk factors for CVDs, and measures of central adiposity, especially WC, are considered superior to BMI to discriminate against them 31,32 . In a study that followed patients after HSCT, a cumulative incidence of CVD equal to 8% in 10 years was found among transplant recipients and increased to 11% in the presence of multiple risk factors14.…”

Section: Discussionmentioning

confidence: 99%

Overweight and cardiovascular risk in patients undergoing hematopoietic stem cell transplantation

Silva¹,

Martins²,

Daltro³

et al. 2023

A Look at Development

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Introduction: Hematopoietic Stem Cell Transplantation (HSCT) is a therapeutic proposal for oncohematological treatment that includes the use of high-dose chemotherapy, after carrying out the conditioning regimen, and many of these classes of antineoplastic agents have cardiotoxic effects. In addition, cardiovascular diseases are among the main causes of post-HSCT morbidity and mortality. Objectives: To assess the nutritional status and cardiovascular risk of patients admitted for HSCT. Methods: Cross-sectional, retrospective study with an analytical component and a quantitative approach. Data was obtained from electronic medical records, from the years 2019 and 2020. Information was collected from the moment of admission, including age, gender, diagnosis, type of transplant, comorbidity report, biochemical tests, body weight, height, waist circumference (WC), and arm circumference. Results: The present study was carried out with 81 patients admitted for HSCT. There was a higher prevalence of Multiple Myeloma (34.6%, n=28) and autologous transplantation (64.2%, n=52). Systemic arterial hypertension (30.9%, n=25) was one of the most reported comorbidities by patients. Most patients were overweight (63%, n=51), high Low-Density Lipoprotein (57.8%, n=37), low High-Density Lipoprotein (58.46%, n=38), and cardiovascular risk assessed by WC (80.2%, n=65). Conclusion: It can be concluded that patients admitted for HSCT had a high prevalence of overweight and cardiovascular risk.

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Section: Discussionmentioning

confidence: 99%

Overweight and cardiovascular risk in patients undergoing hematopoietic stem cell transplantation

Silva¹,

Martins²,

Daltro³

et al. 2023

A Look at Development

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“…Los métodos óptimos para su medición son la tomografía computarizada, absorciometría de rayos X (DEXA) o resonancia magnética (RM) (Gallagher, Shaheen y Zafar, 2008). También puede ser determinada por otros indicadores útiles y menos costosos como los son: la Indicadores utilizados en la practica clínica para el diagnóstico de la obesidad Hazel Ester Anderson Vásquez, William Plua Marcillo, Luisandra González Inciarte, Johanna Alcivar Alcivar, Hazel Barboza Zambrano, Valmore Bermúdez-Pirela y Marilin García Peña 101 circunferencia de la cintura, el diámetro sagital abdominal, los índices cinturaestatura, conicidad y de adiposidad visceral (Yim et al, 2010;Vila et al 2016).…”

Section: Grasa Visceralunclassified

Indicadores Utilizados en La Practica Clínica Para El Diagnóstico De La Obesidad

Vásquez¹,

Marcillo²,

Inciarte³

et al. 2018

Aspectos Básicos en Obesidad

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Palabras clave Obesidad, composición corporal, diagnóstico, estado nutricional, grasa corporal. Resumen La obesidad se caracteriza por un aumento de la adiposidad y del peso corporal, está asociada a trastornos metabólicos que traen consigo comorbilidades que disminuyen la calidad de vida y aumentan la tasa de mortalidad. Para la correcta evaluación del obeso se debe estimar el porcentaje de grasa corporal así como su distribución, por métodos indirectos o doblemente indirectos. Para medir la composición corporalse utilizan métodos precisos y costosos tales como: la hidrodensitometría, absorciometría de rayos X,resonancia magnética nuclear ytomografía axial computarizaday métodos con mayor variabilidad en su validez, pero menos costosos y con mayor aplicación práctica: la bioimpedancia eléctrica y la antropometría.Entre las variables antropométricas utilizadas tenemos el peso corporal, la estatura y la circunferencia de cintura, realizándose con ellas, combinación de indicadores para medir el riesgo cardiovascular y cardiometabólico. También se aplican ecuaciones matemáticas para calcular el porcentaje de grasa corporal tomando como base el edad, sexo, IMC, espesor de los pliegues, perímetros corporales o la energía de los alimentos consumidos. El diagnóstico del estado nutricional debe reflejar el grado de obesidad, su distribución regional y el riesgo cardiovascular o cardiometabólico. En el presente trabajo se realiza una revisión al respecto que permita en la práctica clínica un diagnóstico preciso de la obesidad para lograr un mejor tratamiento clínico y nutricional.

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“…Nutritional anthropometric indicators can be used as alternative methods for evaluating IR, with the advantages of low cost, ease of execution, and availability in clinical practice [ 10 ]. In the current literature, there is still no definitive consensus on the best anthropometric method for predicting IR in adults [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Discriminant Model for Insulin Resistance in Type 2 Diabetic Patients

et al. 2023

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Introduction: Patients with type 2 diabetes mellitus tend to have insulin resistance, a condition that is evaluated using expensive methods that are not easily accessible in routine clinical practice. Objective: To determine the anthropometric, clinical, and metabolic parameters that allow for the discrimination of type 2 diabetic patients who have insulin resistance from those who do not. Methods: A cross-sectional analytical observational study was carried out in 92 type 2 diabetic patients. A discriminant analysis was applied using the SPSS statistical package to establish the characteristics that differentiate type 2 diabetic patients with insulin resistance from those without it. Results: Most of the variables analyzed in this study have a statistically significant association with the HOMA-IR. However, only HDL-c, LDL-c, glycemia, BMI, and tobacco exposure time allow for the discrimination of type 2 diabetic patients who have insulin resistance from those who do not, considering the interaction between them. According to the absolute value of the structure matrix, the variable that contributes most to the discriminant model is HDL-c (−0.69). Conclusions: The association between HDL-c, LDL-c, glycemia, BMI, and tobacco exposure time allows for the discrimination of type 2 diabetic patients who have insulin resistance from those who do not. This constitutes a simple model that can be used in routine clinical practice.

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Asociación de los indicadores antropométricos y de composición corporal en la predicción de la resistencia a la insulina en pacientes con enfermedad de las arterias coronarias

Cited by 7 publications

References 14 publications

Overweight and cardiovascular risk in patients undergoing hematopoietic stem cell transplantation

Overweight and cardiovascular risk in patients undergoing hematopoietic stem cell transplantation

Indicadores Utilizados en La Practica Clínica Para El Diagnóstico De La Obesidad

Discriminant Model for Insulin Resistance in Type 2 Diabetic Patients

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