Malnutrition among patients with Type-2 Diabetes Mellitus

Ahmed, Ibrar; Kaifi, Hoor Maab; Tahir, Hira; Javed, Adan

doi:10.12669/pjms.39.1.5485

Cited by 6 publications

(7 citation statements)

References 20 publications

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“…Thought, the T2DM patients suffered from the weight loss. the BMI was still high and also were assessed as malnourished, which better agree with the conclusions that the incidence of malnutrition in obese patients is much lower than that in underweight patients 9 . The education level of University and above (OR = 0.53, 95% CI = 0.286 -0.981) is an independent protective factor against malnutrition in patients with T2DM.…”

Section: Discussionsupporting

confidence: 87%

“…Ahmed et al 9 pointed out that the malnutrition risk does not differ by gender. Another systematic comments showed that females have 45% greater OR of being malnourished compared to males 19 .…”

Section: Discussionmentioning

confidence: 99%

“…The patients use of individualised nutritional support during the hospital stay improved important clinical outcomes 8 . Earlier diagnosis and provision of nutritional intervention among diabetic patients not only help reduce the length of hospital stay but also speed up the recovery process and prevents DM complications 9 . Thus, the European Society for Clinical Nutrition and Metabolism (ESPEN) have issued practice guidelines that recommended to conduct nutritional screening of patients, nutritional assessment at-risk patients, and provide nutritional support if necessary 10 .…”

Section: Introductionmentioning

confidence: 99%

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Using four nutritional assessment tools to analyze and compare the risk factors of malnutrition in Type diabetes: A Cross-Sectional Study in Chongqing, China

Tian,

Zhang,

Ran

et al. 2024

Preprint

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To assess nutritional status of patients with type 2 diabetes and analyze the risk factors by using 4 nutritional assessment tools in The Second Affiliated Hospital of Chongqing Medical University.This study involved 421 patients with type 2 diabetes hospitalized in The Second Affiliated Hospital of Chongqing Medical University between August 2022 and February 2023. Four nutritional assessment tools, including the GLIM, NRS-2002, MUST, and MNA-SF were used to assess nutritional status to the patients with type 2 diabetes. The multivariate logistic regression analysis method was used to identify the risk factors of nutritional status. The 421 patients has 252 (59.9%) males and 169 (40.1%) females, with the mean age of 58 ± 15 years, the median BMI of 24.7±3.8. The incidence of malnutritionnutrition risk were 12.8%, 22.1%, 30.4% and 33.3% for the GLIM, NRS-2002, MUST and MNA-SF tools, respectively. Compared with the well-nourished patients, the malnutrition patients show the significant differences in the aspects of the BMI, Barthel index, education level, sex, smoking, duration of diabetes, complication and medical insurance (P<0.05). After adjusting for confounding factors, the multivariate logistic regression analysis indicated that the BMI (odds ratio (OR) = 0.841, 95% CI = 0.769 - 0.919), sex (OR = 0.539, 95% CI = 0.301 - 0.967 ), duration of diabetes (OR = 0.955, 95% CI = 0.915 - 0.997 ), smoking (OR = 1.996, 95% CI = 1.089 - 3.657 ) might be the independently factors of nutritional status. Excluding the BMI from multivariate logistic regression analyze, the results showed that the Barthel index, education level (OR = 0.53, 95% CI = 0.286 - 0.981), sex (OR = 0.478, 95% CI = 0.272 - 0.843) were independent factors for malnutrition in T2DM patients (all P < 0.05). Excluding BMI again for confounding factor analysis, the multivariate logistic regression analysis indicated that Barthel index, education level (OR = 0.53, 95% CI = 0.286 - 0.981), sex (OR = 0.478, 95% CI = 0.272 - 0.843) were independent factors for malnutrition in T2DM patients (all P < 0.05). We shouldn’t ignore the prevalence of malnutrition in hospitalized patients with type 2 diabetes. The BMI, Sex, Duration of diabetes, smoking, Barthel’s index and Education level were independently associated with malnutrition. We recommend to prevent malnutrition in type 2 diabetes by controlling the influenced factors above.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using four nutritional assessment tools to analyze and compare the risk factors of malnutrition in Type diabetes: A Cross-Sectional Study in Chongqing, China

Tian,

Zhang,

Ran

et al. 2024

Preprint

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“…Se identificó a la mayoría de los pacientes evaluados con neuropatía diabética en riesgo de desnutrición, lo cual guarda correlación con investigaciones nacionales e internacionales. 11,18,19 Asimismo, hasta donde es de nuestro conocimiento, se encuentra poca información acerca del estado nutricional en pacientes con neuropatía diabética, por lo que este estudio puede ser de utilidad para entender aún más estos procesos.…”

Section: Discussionunclassified

Evaluación del estado nutricional en pacientes con neuropatía diabética en el primer nivel de atención

Arreola-Santiago,

Vilchis-Chaparro,

Maravillas-Estrada

et al. 2023

Atención Familiar

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Objetivo: evaluar el estado nutricional en pacientes con neuropatía diabética atendidos en una unidad de medicina familiar en la Ciudad de México. Métodos: estudio trasversal descriptivo, participaron 238 pacientes con diagnóstico de neuropatía diabética. El estado nutricional se evaluó mediante el instrumento Mini Nutritional Assesment SF (MNA-SF). Se utilizaron medidas de tendencia central y de dispersión, así como frecuencias y porcentajes. Resultados: se identificó un predominio del sexo masculino en 46.6% de los participantes, con una media de edad de 64.4 años. En cuanto al puntaje obtenido en el cuestionario MNA- SF se obtuvo una media de 10.9 puntos. Se identificó que 47.9% de la población estudiada presentaba riesgo de desnutrición, 45.4% mostró estado nutricional normal y 6.7% desnutrición. Conclusión: los pacientes con neuropatía diabética presentaron una alta prevalencia de riesgo de desnutrición, la evaluación de esta última se debe hacer de forma continua en pacientes que tienen complicaciones asociadas a diabetes dentro del primer nivel de atención.

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“…According to the KDIGO clinical practice guidelines, CKD was diagnosed that glomerular filtration rate (GFR) below 60 mL/min/1.73 m 2 for 3 months or more 15 . (4) Missing BUN or serum albumin values; (5) Less than 48 h in ICU; (6) Missing data for more than 5% of patients. Finally, a total of 1920 patients were included in this study (Fig.…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Blood urea nitrogen to serum albumin ratio as a new prognostic indicator in type 2 diabetes mellitus patients with chronic kidney disease

Liu,

Qiu,

et al. 2024

Sci Rep

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Chronic kidney disease (CKD) is often a common comorbidity in critically ill patients with type 2 diabetes mellitus (T2DM). This study explored the relationship between blood urea nitrogen to serum albumin ratio (BAR) and mortality in T2DM patients with CKD in intensive care unit (ICU). Patients were recruited from the Medical Information Mart database, retrospectively. The primary and secondary outcomes were 90-day mortality, the length of ICU stay, hospital mortality and 30-day mortality, respectively. Cox regression model and Kaplan–Meier survival curve were performed to explore the association between BAR and 90-day mortality. Subgroup analyses were performed to determine the consistency of this association. A total of 1920 patients were enrolled and divided into the three groups (BAR < 9.2, 9.2 ≤ BAR ≤ 21.3 and BAR > 21.3). The length of ICU stay, 30-day mortality, and 90-day mortality in the BAR > 21.3 group were significantly higher than other groups. In Cox regression analysis showed that high BAR level was significantly associated with increased greater risk of 90-day mortality. The adjusted HR (95%CIs) for the model 1, model 2, and model 3 were 1.768 (1.409–2.218), 1.934, (1.489–2.511), and 1.864, (1.399–2.487), respectively. Subgroup analysis also showed the consistency of results. The Kaplan–Meier survival curve analysis revealed similar results as well that BAR > 21.3 had lower 90-day survival rate. High BAR was significantly associated with increased risk of 90-day mortality. BAR could be a simple and useful prognostic tool in T2DM patients with CKD in ICU.

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Malnutrition among patients with Type-2 Diabetes Mellitus

Cited by 6 publications

References 20 publications

Using four nutritional assessment tools to analyze and compare the risk factors of malnutrition in Type diabetes: A Cross-Sectional Study in Chongqing, China

Using four nutritional assessment tools to analyze and compare the risk factors of malnutrition in Type diabetes: A Cross-Sectional Study in Chongqing, China

Evaluación del estado nutricional en pacientes con neuropatía diabética en el primer nivel de atención

Blood urea nitrogen to serum albumin ratio as a new prognostic indicator in type 2 diabetes mellitus patients with chronic kidney disease

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