Streamlining radiology processes for malnutrition diagnosis: Insights from health administration and nursing

Main Article Content

Hajar Ibrahim Mohammed Alkinani, Abada Awaji Yahya Hakami, Abdulrahman Baalghayth Alshaikhi, Essa Musa Alsemeri, Amnah Ahmed Ali Hakami, Khalid Ibrahim Hassan Khawaji

Keywords

Radiology, malnutrition, health administration and nursing.

Abstract

Malnutrition is a global health challenge with adverse developmental, economic, social and medical effects contributing to high rates of morbidity, mortality and cost. Early identification and management of malnutrition is fundamental to implement necessary therapeutic actions. Radiology plays a crucial role in enabling clinicians to visualize and diagnose a wide range of medical conditions, particularly malnutrition. Advanced radiology tools improve accuracy and speed of malnutrition diagnoses, including X-ray, MRI, CT, and MI, to produce high-quality images and improve patient experience during exams. Radiology can achieve high-quality diagnostic images, streamline exam processes, accommodate more patients, and improve patient satisfaction and clinical outcomes. Equipped with a range of imaging modalities, radiology plays an indispensable role in disease management via timely diagnosis, staging, treatment, and monitoring. Considering roles of nurses and health professionals in healthcare settings, appropriate knowledge related to nutritional assessment, diagnosis, support and care is necessary to improve patients’ nutritional status.

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References

Akugizibwe R, Kasolo J, Makubuya DB, et al. Missed opportunities in the diagnosis and management of protein energy malnutrition among children under 5 years in Wakiso district, Uganda. J Public Health Epidemiol. 2013, 30(5):463-70.
Altemus LR. Radiological features noted on plain radiographs in malnutrition in African children, British Journal of Radiology. 2014, 41(488): 639-640.
Antwi S. Malnutrition: missed opportunities for diagnosis. Ghana Med J. 2008; 42(3):101-4.
Bowden DJ, Kilburn-Toppin F, Scoffings DJ. Radiology of eating disorders: a pictorial review. Radiographics. 2013, 33(4):1171-93.
Cederholm T, et al. GLIM criteria for the diagnosis of malnutrition: A consensus report from the global clinical nutrition community. Clinical Nutrition, 2018, 38(1): P1-9.
Dimo R, Madiba T, & Bhayat A. Nursing practices associated with diagnosis of malnutrition in children under 5 years in West Rand District primary healthcare facilities. South African Journal of Clinical Nutrition, 2023, 36(1): 8-12.
Hoek HW, Van Hoeken D. Review of the prevalence and incidence of eating disorders. Int J Eat Disord, 2003, 34(4):383-396.
Norman K, Pichard C, Lochs H, Pirlich M. Prognostic impact of disease-related malnutrition. Clinical Nutrition, 2008, 27(1): 5-15.
Prado C, Cushen S, Orsso C, Ryan A. Sarcopenia and cachexia in the era of obesity: clinical and nutritional impact. Proc Nutr Soc, 2016, 75(2): 188-198.
Prado CM, Heymsfield SB. Lean tissue imaging: a new era for nutritional assessment and intervention. J Parenter Enteral Nutr, 2014, 38(8): 940-953.
Ross R. Advances in the application of imaging methods in applied and clinical physiology. Acta Diabetol, 2003, 40 (1): S45-50.
Serón-Arbeloa C, Labarta-Monzón L, Puzo-Foncillas J, Mallor-Bonet T, Lafita-López A, Bueno-Vidales N, Montoro-Huguet M. Malnutrition Screening and Assessment. Nutrients. 2022,14(12): 23-92.
Wojda TR, Cardone MS, Lo WD, et al. Ultrasound and Computed Tomography Imaging Technologies for Nutrition Assessment in Surgical and Critical Care Patient Populations. Curr Surg Rep. 2015, 3(21): 24-32.