Nutritional Status in Surgical Patients, Naresuan University Hospital
Keywords:
Nutritional Status, Nutrition Assessment, Surgical Patients, Length of StayAbstract
The objective of this cross-sectional descriptive research was to study nutrition status of surgical patients, Naresuan University Hospital. The purposive sampling patients consisted of 399 cases, who had been admitted to the surgical ward from May to October 2019. Data were collected from medical records. Three parts of data were recorded consisting nutrition screening, malnutrition evaluation (NT-2013) and energy intake. The data were analyzed using descriptive statistic of frequency, percentage, mean, standard deviation (SD), median, min and max. Factors associated with malnutrition risk and factors associated with nutritional status among patients at risk of malnutrition were analyzed using Chi-Square Test and Fisher’s Exact Test by STATA program Version 14.0
The results showed that surgical patients were age 20–95 years and average age was 59.44 years (S.D. 16.31). 54.64% were female. The underlying diseases were Musculoskeletal, Neurological and Gastrointestinal Diseases of 42.10%, 12.78% and 11.53% respectively. An average BMI was 23.74 kg/m2 (S.D. 5.06). Nutritional status was normal (BMI 18.5 – 22.9 kg/m2) 33.33%. Body weight of patients over past six month had the same weight, decreases and increase by 68.48%, 23.06% and 8.52% respectively. Most type of surgical was minor Surgery 72.68% and most patients did not receive chemotherapy and radiotherapy (84.96%). Rate of nutrition risk by using nutritional screening (SPENT form) was 18.79%. Sex, age, underlying disease, body weight change, type of surgery and receiving chemotherapy were associated statistically significant with risk of malnutrition (p-value < 0.05). Moreover, the rate of severe-malnutrition (NT-4) among patients at risk of malnutrition using Nutrition Triage 2013 (NT-2013) was 22.67%. The study showed that underlying disease, energy intake and infection were statistically significant associated with malnutrition (p-value < 0.05). The study showed length of stay that 3 to 33 days and average age was 14.35 days (S.D. 7.40). Most were range 7-14 days of stay in hospital (44.00%). In addition, length of stay was significantly associated with severity of malnutrition (p-value <0.001)
References
ขนิษฐา อยู่เพ็ชร์, ปรียาภรณ์ แสงทวี, & เอกพล อัจฉริยะประสิทธิ์. (2563). การจัดการทางการพยาบาลด้านโภชนาการสำหรับผู้ป่วยโรคมะเร็ง. เวชบันทึกศิริราช, 13(2), 133-140.
ธารินี เพชรรัตน์, พัสดา ภักดีกำจร, จิตอารีย์ ตันติยาสวัสดิกุล, บัณฑิตา จาดนอก, ศจีมาศ แก้วโคตร, ลดาวัลย์ บูรณะปิยะวงศ์, และคณะ. (2561). ภาวะโภชนาการของผู้ป่วยแผนกการพยาบาลศัลยกรรมและออร์โธปิดิกส์. ศรีนครินทร์เวชสาร, 33(3), 241-246.
ปุญญพัฒน์ ไชยเมล์. (2556). การกำหนดขนาดตัวอย่างสำหรับการวิจัยเชิงพรรณนาในงานสาธารณสุข. วารสารมหาวิทยาลัยทักษิณ, 16(2), 1-16.
โสภิศ เกตุพร. (2557). ภาวะโภชนาการผู้ป่วยวิกฤติที่ใช้เครื่องช่วยหายใจในโรงพยาบาลพระนครศรีอยุธยา. วารสารสมาคมเวชศาสตร์ป้องกันแห่งประเทศไทย, 4(2), 135-142.
Ainsley, M., & Cynthia, H. (2013). The academy of nutrition and dietetics/the American society for parenteral and enteral nutrition consensus malnutrition characteristics: Application in practice. Nutrition in Clinical Practice, 28(1), 639-650.
Correia, M. I., & Waitzberg, D. L. (2003). The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clinical Nutrition, 22(3), 235-239.
Faisy, C., Lerolle, N, Dachraoui, F., Savard, J. F., Abboud, I., Tadie, J. M., et al. (2009). Impact of energy deficit calculated by a predictive method on outcome in medical patients requiring prolonged acute mechanical ventilation. British Journal of Nutrition, 101(7), 1079-1087.
Jedsada, A., Karn, J., Dudsadee, S., & Vibul, T. (2020). Role of BNT (NT-2013) tool as a predicting factor of malnutrition-related complications in surgical patients. Journal of the Association of General Surgeons of Thailand under the Royal of Patronage of HM the King, 5(1), 20-27.
Mariana, R., Maria, C. G., Raquel, S., Graziela, R. R., Julio, C. R., & Dan L. W. (2011). Complementarity of Subjective Global Assessment (SGA) and Nutritional Risk Screening 2002 (NRS 2002) for predicting poor clinical outcomes in hospitalized patients. Clinical Nutrition, 30(1), 49-53.
Natally, G. A., Juliana, U. C., Fernanda, D. A., Izabele, V. S. C, & Juliana, P. V. (2020). Prevalence of malnutrition and its association with clinical complications in hospitalized cardiac patients: Retrospective cohort study. International Journal of Cardiovascular Sciences 33(6), 629-634.
Reilly, J. J. Jr., Hull, S. F., Albert, N., Waller, A., & Bringardener, S. (1988). Economic impact of malnutrition: A model system for hospitalized patients. Journal of Parenteral and Enteral Nutrition, 12(4), 371-376.
Smeltzer, S. C., & Bare, S. C. (2004). Concepts and challenges in patients management Brunner & Suddarth’s Textbook of medical–surgical nursing. (9th ed.). Philadelphia: Lippincott Williams & Wilkins.
Ungpinitpong, W., & Asprer, J. M. Impact of nutrition support on better outcomes in surgery. Retrived May 6, 2019, from http://www.medicthai.com/picture/news/133634art306.pdf
Vania, A. L. M., & Jose, L. B. A. (2014). Determinants of malnutrition and post-operative complications in hospitalized surgical patients. Journal of Health, Population and Nutrition, 32(3), 400-410.
Vibul, T., & Bucha, P. (2020). From BNT 2000 to NT 2013 The Malnutrtion Identification in Adult Pateints. Royal Thai Air Force Medical Gazett. 66(2), 14-32.
Villet, S., Chiolero, R. L., Bollmann, M. D., Revelly, J. P., Cayeux R N, M. C., Delarue, J., & Berger, M. M. (2005). Negative impact of hypocaloric feeding and energy balance on clinical outcome in ICU patients. Clinical Nutrition, 24(4), 502–509.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Faculty of Public Health, Khon Kaen University
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
