Predictive value of STAMP in Health Information System in children with critical congenital heart disease_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

LI Li ¹ , FENG Mei ¹ , ZHOU Dan ¹ ,  SONG Jinping ² ,  TANG Menglin ¹

1. West China School of Nursing, Sichuan University/Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P.R.China;
2. West China School of Nursing, Sichuan University, Chengdu, 610041, P.R.China;

Corresponding?author：

SONG Jinping, Email: jinpings210@163.com; TANG Menglin, Email: menglintang@163.com

Keywords：

Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP); congenital heart disease; intensive care; children; nutritional risk screening; predictive value

DOI：

10.7507/1007-4848.202104090

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Objective To analyze the perdictive value of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) for malnutrition or postoperative complications in children with critical congenital heart disease (CHD).Methods A total of 875 children with critical CHD who were hospitalized in West China Hospital, Sichuan University form August 2019 to February 2021, including 442 males and 433 females with a median age of 30 (12, 48) months, were assessed by STAMP in Health Information System. Clinical data of postoperative complications were collected.Results (1) Based on World Health Organization Z-score as gold standard, 24.5% had malnutrition risk, and 34.3% were diagnosed with malnutrition. According to STAMP, the children were with medium malnutrition risk of 37.9% and high malnutrition risk of 62.1%. There was a statistical difference of incidence rate of malnutrition and detection rate of STAMP malnutrition risk in gender, age, ICU stay or length of mechanical ventilation (P<0.05); (2) with the optimal cut-off point of 5.5 in STAMP for malnutrition, the sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) were 68.3%, 84.3%, 48.1%, 88.3% and 0.82, respectively; (3) 12.0% of the children were with postoperative complications; (4) with the optimal cut-off point of 5.5 in STAMP for postoperative complications, the sensitivity, specificity, positive predictive value, negative predictive value and AUC were 83.8%, 73.1%, 18.8%, 99.1% and 0.85, respectively.Conclusion Children with critical CHD have a higher incidence of malnutrition risk and postoperative complications. STAMP has a good perdictive value for malnutrition or postoperative complications, however, the sensitivity and specificity of STAMP are affected by the gold standard or the cut-off point.

Citation： LI Li, FENG Mei, ZHOU Dan, SONG Jinping, TANG Menglin. Predictive value of STAMP in Health Information System in children with critical congenital heart disease. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2021, 28(11): 1340-1345. doi: 10.7507/1007-4848.202104090 Copy

1.	Saliba A, Figueiredo ACV, Baroneza JE, et al. Genetic and genomics in congenital heart disease: A clinical review. J Pediatr (Rio J), 2020, 96(3): 279-288.
2.	徐京, 李梅, 莫緒明, 等. 口腔運動干預在復雜型先天性心臟病患兒術后喂養技能改善中的實踐與效果評價. 護士進修雜志, 2020, 35(19): 1773-1777.
3.	Batte A, Lwabi P, Lubega S, et al. Wasting, underweight and stunting among children with congenital heart disease presenting at Mulago hospital, Uganda. BMC Pediatr, 2017, 17(1): 10.
4.	吳莉娟, 李中躍. 兒科營養風險篩查工具應用進展. 中國實用兒科雜志, 2020, 35(7): 567-570.
5.	Dos Santos CA, Ribeiro AQ, Rosa COB, et al. Nutritional risk in pediatrics by StrongKids: A systematic review. Eur J Clin Nutr, 2019, 73(11): 1441-1449.
6.	McCarthy H, Dixon M, Crabtree I, et al. The development and evaluation of the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP?) for use by healthcare staff. J Hum Nutr Diet, 2012, 25(4): 311-318.
7.	Reed M, Mullaney K, Ruhmann C, et al. Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the electronic health record: A validation study. Nutr Clin Pract, 2020, 35(6): 1087-1093.
8.	劉正偉, 徐信蘭, 曾玉結, 等. 比較兩種營養風險篩查工具在先心病病兒中的診斷效能研究. 腸外與腸內營養, 2021, 28(1): 30-34.
9.	Bouma S. Diagnosing pediatric malnutrition: Paradigm shifts of etiology-related definitions and appraisal of the indicators. Nutr Clin Pract, 2017, 32(1): 52-67.
10.	楊玉霞, 顧鶯, 葉嵐, 等. 2 種營養篩查工具在先天性心臟病患兒中的應用比較. 護士進修雜志, 2019, 34(21): 1925-1928.
11.	楊玉霞, 顧鶯, 葉嵐, 等. 基于喂養過程和喂養結局評價的先天性心臟病患兒喂養困難現狀研究. 護士進修雜志, 2020, 35(15): 1436-1439.
12.	Leitch CA. Growth, nutrition and energy expenditure in pediatric heart failure. Prog Pediatr Cardiol, 2000, 11(3): 195-202.
13.	Zhang J, Cui YQ, Ma ZM, et al. Energy and protein requirements in children undergoing cardiopulmonary bypass surgery: Current problems and future direction. JPEN J Parenter Enteral Nutr, 2019, 43(1): 54-62.
14.	Zhang M, Wang L, Huang R, et al. Risk factors of malnutrition in Chinese children with congenital heart defect. BMC Pediatr, 2020, 20(1): 213.
15.	戚繼榮, 莫緒明, 李榮, 等. 兒童營養風險及發育不良篩查工具用于先天性心臟病患兒圍術期營養風險篩查. 中華臨床營養雜志, 2014, 22(1): 38-42.
16.	中華醫學會小兒外科學分會心胸外科學組, 中華醫學會腸外腸內營養學分會兒科學組. 先天性心臟病患兒營養支持專家共識. 中華小兒外科雜志, 2016, 37(1): 3-8.
17.	陳陽, 劉瑞萍, 武海濱. PICU 患兒營養風險篩查及高風險對臨床結局的影響. 中國婦幼健康研究, 2020, 31(11): 1537-1540.
18.	馮升, 成磊, 陸華, 等. 兩種營養風險篩查工具用于危重患兒診斷效能研究. 護理學雜志, 2018, 33(11): 15-19.
19.	張慧文, 顧鶯, 楊玉霞, 等. STAMP 量表篩檢住院兒童營養不良風險的系統評價. 護理學雜志, 2016, 31(7): 85-90.
20.	馮升, 成磊, 陸華, 等. 兒科營養不良評估篩查工具用于住院患兒營養風險篩查的診斷效能研究. 護理管理雜志, 2019, 19(4): 233-236.
21.	馮蓓, 梁亞紅, 賀婷婷, 等. 2 種營養不良風險篩查工具對兒科住院患兒營養不良風險預測作用的比較. 護理學報, 2020, 27(10): 65-68.
22.	武勰, 刁曉林, 羅啟鵬, 等. 圍術期白細胞計數對小兒簡單先天性心臟病術后嚴重并發癥的預測價值. 中國循環雜志, 2018, 33(S1): 62.

1. Saliba A, Figueiredo ACV, Baroneza JE, et al. Genetic and genomics in congenital heart disease: A clinical review. J Pediatr (Rio J), 2020, 96(3): 279-288.
2. 徐京, 李梅, 莫緒明, 等. 口腔運動干預在復雜型先天性心臟病患兒術后喂養技能改善中的實踐與效果評價. 護士進修雜志, 2020, 35(19): 1773-1777.
3. Batte A, Lwabi P, Lubega S, et al. Wasting, underweight and stunting among children with congenital heart disease presenting at Mulago hospital, Uganda. BMC Pediatr, 2017, 17(1): 10.
4. 吳莉娟, 李中躍. 兒科營養風險篩查工具應用進展. 中國實用兒科雜志, 2020, 35(7): 567-570.
5. Dos Santos CA, Ribeiro AQ, Rosa COB, et al. Nutritional risk in pediatrics by StrongKids: A systematic review. Eur J Clin Nutr, 2019, 73(11): 1441-1449.
6. McCarthy H, Dixon M, Crabtree I, et al. The development and evaluation of the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP?) for use by healthcare staff. J Hum Nutr Diet, 2012, 25(4): 311-318.
7. Reed M, Mullaney K, Ruhmann C, et al. Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the electronic health record: A validation study. Nutr Clin Pract, 2020, 35(6): 1087-1093.
8. 劉正偉, 徐信蘭, 曾玉結, 等. 比較兩種營養風險篩查工具在先心病病兒中的診斷效能研究. 腸外與腸內營養, 2021, 28(1): 30-34.
9. Bouma S. Diagnosing pediatric malnutrition: Paradigm shifts of etiology-related definitions and appraisal of the indicators. Nutr Clin Pract, 2017, 32(1): 52-67.
10. 楊玉霞, 顧鶯, 葉嵐, 等. 2 種營養篩查工具在先天性心臟病患兒中的應用比較. 護士進修雜志, 2019, 34(21): 1925-1928.
11. 楊玉霞, 顧鶯, 葉嵐, 等. 基于喂養過程和喂養結局評價的先天性心臟病患兒喂養困難現狀研究. 護士進修雜志, 2020, 35(15): 1436-1439.
12. Leitch CA. Growth, nutrition and energy expenditure in pediatric heart failure. Prog Pediatr Cardiol, 2000, 11(3): 195-202.
13. Zhang J, Cui YQ, Ma ZM, et al. Energy and protein requirements in children undergoing cardiopulmonary bypass surgery: Current problems and future direction. JPEN J Parenter Enteral Nutr, 2019, 43(1): 54-62.
14. Zhang M, Wang L, Huang R, et al. Risk factors of malnutrition in Chinese children with congenital heart defect. BMC Pediatr, 2020, 20(1): 213.
15. 戚繼榮, 莫緒明, 李榮, 等. 兒童營養風險及發育不良篩查工具用于先天性心臟病患兒圍術期營養風險篩查. 中華臨床營養雜志, 2014, 22(1): 38-42.
16. 中華醫學會小兒外科學分會心胸外科學組, 中華醫學會腸外腸內營養學分會兒科學組. 先天性心臟病患兒營養支持專家共識. 中華小兒外科雜志, 2016, 37(1): 3-8.
17. 陳陽, 劉瑞萍, 武海濱. PICU 患兒營養風險篩查及高風險對臨床結局的影響. 中國婦幼健康研究, 2020, 31(11): 1537-1540.
18. 馮升, 成磊, 陸華, 等. 兩種營養風險篩查工具用于危重患兒診斷效能研究. 護理學雜志, 2018, 33(11): 15-19.
19. 張慧文, 顧鶯, 楊玉霞, 等. STAMP 量表篩檢住院兒童營養不良風險的系統評價. 護理學雜志, 2016, 31(7): 85-90.
20. 馮升, 成磊, 陸華, 等. 兒科營養不良評估篩查工具用于住院患兒營養風險篩查的診斷效能研究. 護理管理雜志, 2019, 19(4): 233-236.
21. 馮蓓, 梁亞紅, 賀婷婷, 等. 2 種營養不良風險篩查工具對兒科住院患兒營養不良風險預測作用的比較. 護理學報, 2020, 27(10): 65-68.
22. 武勰, 刁曉林, 羅啟鵬, 等. 圍術期白細胞計數對小兒簡單先天性心臟病術后嚴重并發癥的預測價值. 中國循環雜志, 2018, 33(S1): 62.

Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Predictive value of STAMP in Health Information System in children with critical congenital heart disease

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