Journal List > J Korean Surg Soc > v.79(Suppl 1) > 1011222

Lee, Choi, and Lee: Development of B-eNSP (Baptist Electronic Nutritional Screening Program) Using Integrated Medical Information System and Clinical Efficiency

Abstract

Purpose

The aim of this study was to develop a baptist electronic Nutritional Screening Program (B-eNSP) that could be easily used to identify patients with nutrition at risk or malnutrition on their admission to hospital using an integrated medical information system and to evaluate validity, reliability and efficiency of B-eNSP.

Methods

From June 1 2009 to June 21 2009, we enrolled 496 patients for prospective research. We analyzed age, sex, weight, height, weight loss in the last 3 months, serum albumin, alteration of dietary intake, gastrointestinal symptom, functional capacity, diagnosis and its relationship to nutritional requirements, physical examination and Subjective Global Assessment (SGA). B-eNSP included body mass index (BMI), weight loss in the last 3 months, serum albumin. Each component was scored. Sensitivity and specificity were calculated to evaluate the validity of the B-eNSP. The receiver operating characteristic (ROC) curve was drawn by using B-eNSP to choose a cut-off value that maximizes sensitivity and specificity and Yoden Index. Comparison with SGA and the reliability of the B-eNSP was done using kappa statistics.

Results

The maximum Yoden Index was 0.866 and the cut-off value of the ROC curve was 2. A B-eNSP score higher than 2 was defined as nutrition at risk or malnutrition. Reliability of the B-eNSP was in accordance with SGA by kappa 0.845.

Conclusion

The B-eNSP can be used efficiently to identify patients with nutrition at risk or malnutrition by simply using an integrated medical information system.

Figures and Tables

Fig. 1
Receiver operating characteristic curve (Area under curve=0.955).
jkss-79-S1-g001
Table 1
Baptist electronic nutritional screening program (B-eNSP)
jkss-79-S1-i001
Table 2
Baseline subject demographic and clinical characteristics
jkss-79-S1-i002
Table 3
Validity of the Baptist electronic nutritional screening program (B-eNSP)
jkss-79-S1-i003
Table 4
Validity of Baptist electronic nutritional screening program's components according to SGA score
jkss-79-S1-i004

*A class is well nourished; B class is moderately (or suspected of being) malnourished; C class is severely malnourished.

Table 5
Validity of components according to Baptist electronic nutritional screening program (B-eNSP) score
jkss-79-S1-i005
Table 6
Validity of the Baptist electronic nutritional screening program (B-eNSP)
jkss-79-S1-i006

*A class is well nourished; B class is moderately (or suspected of being) malnourished; C class is severely malnourished.

References

1. McWhirter JP, Pennington CR. Incidence and recognition of malnutrition in hospital. BMJ. 1994. 308:945–948.
2. Kondrup J, Rasmussen HH, Hamberg O, Stanga Z. Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials. Clin Nutr. 2003. 22:321–336.
3. Velanovich V. The value of routine preoperative laboratory testing in predicting postoperative complications: a multivariate analysis. Surgery. 1991. 109:236–243.
4. Kondrup J, Allison SP, Elia M, Vellas B, Plauth M. ESPEN guidelines for nutrition screening 2002. Clin Nutr. 2003. 22:415–421.
5. Brugler L, Stankovic AK, Schlefer M, Bernstein L. A simplified nutrition screen for hospitalized patients using readily available laboratory and patient information. Nutrition. 2005. 21:650–658.
6. Charney P. Nutrition screening vs nutrition assessment: how do they differ? Nutr Clin Pract. 2008. 23:366–372.
7. Barbosa-Silva MC, Barros AJ. Indications and limitations of the use of subjective global assessment in clinical practice: an update. Curr Opin Clin Nutr Metab Care. 2006. 9:263–269.
8. Kim YH, Seo AR, Kim MK, Lee YM. Relationship of nutrition status at the time of admission to length of hospital stay (LOS) and mortality: a prospective study based on computerized nutrition screening. J Korean Diet Assoc. 1999. 5:48–53.
9. Villamayor Blanco L, Llimera Rausell G, Jorge Vidal V, González Pérez-Crespo C, Iniesta Navalón C, Mira Sirvent MC, et al. Nutritional assessment at the time of hospital-admission: study initiation among different methodologies. Nutr Hosp. 2006. 21:163–172.
10. Nursal TZ, Noyan T, Atalay BG, Köz N, Karakayali H. Simple two-part tool for screening of malnutrition. Nutrition. 2005. 21:659–665.
11. Detsky AS, McLaughlin JR, Baker JP, Johnston N, Whittaker S, Mendelson RA, et al. What is subjective global assessment of nutritional status? JPEN J Parenter Enteral Nutr. 1987. 11:8–13.
12. Yun JS, Shin JE, Kang BJ, Yang YH, Ka SY, Choi HE, et al. Application and efficacy evaluation of nutritional screening tool. J Korean Surg Soc. 2006. 70:1–6.
13. Kim S, Kim S, Sohn C. Development of nutrition screening index for hospitalized patients. Korean J Community Nutr. 2006. 11:779–787.
14. Stratton RJ, Hackston A, Longmore D, Dixon R, Price S, Stroud M, et al. Malnutrition in hospital outpatients and inpatients: prevalence, concurrent validity and ease of use of the 'malnutrition universal screening tool' ('MUST') for adults. Br J Nutr. 2004. 92:799–808.
15. Blackburn GL, Bistrian BR, Maini BS, Schlamm HT, Smith MF. Nutritional and metabolic assessment of the hospitalized patient. JPEN J Parenter Enteral Nutr. 1977. 1:11–22.
16. Baker JP, Detsky AS, Wesson DE, Wolman SL, Stewart S, Whitewell J, et al. Nutritional assessment: a comparison of clinical judgement and objective measurements. N Engl J Med. 1982. 306:969–972.
17. Akpele L, Bailey JL. Nutrition counseling impacts serum albumin levels. J Ren Nutr. 2004. 14:143–148.
18. Corti MC, Guralnik JM, Salive ME, Sorkin JD. Serum albumin level and physical disability as predictors of mortality in older persons. JAMA. 1994. 272:1036–1042.
19. Barbosa-Silva MC. Subjective and objective nutritional assessment methods: what do they really assess? Curr Opin Clin Nutr Metab Care. 2008. 11:248–254.
TOOLS
Similar articles