| Literature DB >> 27543156 |
Da-Li Sun1,2,3, Wei-Ming Li2,3, Shu-Min Li2,3, Yun-Yun Cen2,3, Yue-Ying Lin2,3, Qing-Wen Xu2,3, Yi-Jun Li2,3, Yan-Bo Sun2,3, Yu-Xing Qi2,3, Ting Yang2,3, Qi-Ping Lu4, Peng-Yuan Xu5,6.
Abstract
OBJECTIVE: To investigate the impact of nutritional support on clinical outcomes in patients at nutritional risk who receive nutritional support that meets guideline standards and those who do not.Entities:
Keywords: Abdominal surgery patients; Guidelines; Logistic regression analysis; Nutritional risk; Outcome
Mesh:
Year: 2016 PMID: 27543156 PMCID: PMC4991079 DOI: 10.1186/s12937-016-0193-6
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Fig. 1Flowchart of subject inclusion process
Baseline characteristics of patients in cohorts receiving and not receiving nutritional support meeting guideline standard
| Calories or nutritional support not meeting guideline standards ( | Calories and nutritional support meeting guideline standards ( |
| |
|---|---|---|---|
| Male (percentage) | 188 (58.7 %) | 100 (48.8 %) | 0.025 |
| Age (mean ± SD) | 66.43 ± 11.73 | 62.86 ± 13.99 | 0.006 |
| Nutritional risk (mean ± SD) | 4.09 ± 0.90 | 4.08 ± 0.93 | 0.134 |
| BMI (mean ± SD) | 21.09 ± 2.51 | 20.80 ± 2.56 | 0.687 |
| Body weight loss >5 % | 126 (39.4 %) | 117 (57.1 %) | <0.001 |
| Food intake <75 % | 240 (75.0 %) | 142 (69.3 %) | 0.150 |
| Average calories (kcal/person/day) | 15.35 ± 2.44 | 22.67 ± 1.48 | < 0.001 |
| Average N amount (g/person/day) | 0.66 ± 0.51 | 1.15 ± 0.09 | < 0.001 |
| Duration of nutritional support (days) | —— | 10.5 ± 2.6 | —— |
| Postoperative hospital stay (days) | 15 (13,19) | 15 (12, 20) | 0.609 |
| Diagnosisa (n) | < 0.001 | ||
| A1 | 11 (3.4 %) | 6 (2.9 %) | |
| A2 | 123 (38.4 %) | 117 (57.1 %) | |
| B1 | 129 (40.3 %) | 60 (29.3 %) | |
| B2 | 57 (17.8 %) | 22 (10.7 %) |
a A1 = benign gastrointestinal diseases: gastric ulcer, duodenal ulcer, gastric stromal tumours, jejunum stromal tumours, congenital megacolon, lengthy colon, rectal polyps, colonic diverticulitis; A2 = gastrointestinal cancer: gastric cancer, colon cancer, colorectal cancer, duodenal cancer, small intestine cancer, non-Hodgkin’s lymphoma; B1 = benign disease of the liver, bile ducts and pancreas: bile duct stones, bile duct stricture, Mirizzi syndrome, bile duct cyst, liver haemangioma, pancreas cystadenoma, papillary tumour of the pancreas, pancreatic pseudocyst; B2 = malignant cancer of the liver, bile ducts and pancreas: cholangiocarcinoma, gallbladder cancer, liver cancer, pancreatic cancer
Differences in complications between cohorts receiving and not receiving nutritional support meeting guideline standard
| Calories or nutritional support not meeting guideline standards ( | Calories or nutritional support meeting guideline standards ( |
| |
|---|---|---|---|
| (1) Infectious complications | 86 (26.9 %) | 35 (17.1 %) | 0.009 |
| Pneumonia | 52 (16.3 %) | 18 (8.8 %) | 0.014 |
| Urinary tract infection | 4 (1.3 %) | 0 (0.0 %) | 0.160 |
| Sepsis | 25 (7.8 %) | 10 (4.9 %) | 0.187 |
| Septic shock | 0 (0.0 %) | 2 (1.0 %) | 0.152 |
| Catheter-related infection | 1 (0.3 %) | 0 (0.0 %) | 1.000 |
| Intra-abdominal abscess | 6 (1.9 %) | 10 (4.9 %) | 0.051 |
| Infection of incisional wound | 11 (3.4 %) | 1 (0.5 %) | 0.034 |
| Two or more infections | 12 (3.8 %) | 7 (3.4 %) | 1.0 |
| (2) Non-infectious complications | 8 (2.5 %) | 9 (4.4 %) | 0.312 |
| Organ dysfunction | 2 (0.4 %) | 1 (0.5 %) | 1.000 |
| Multiple organ failure | 5 (1.6 %) | 1 (0.5 %) | 0.412 |
| Pulmonary embolism | 1 (0.3 %) | 0 (0.0 %) | 1.000 |
| Bleeding due to duodenal ulcer | 3 (0.9%) | 0 (0.0 %) | 0.285 |
| Postoperative abdominal bleeding | 1 (0.3 %) | 1 (0.5 %) | 1.000 |
| Severe electrolyte imbalance | 1 (0.3 %) | 1 (0.5 %) | 1.000 |
| Anastomotic bleeding | 1 (0.3 %) | 0 (0.0 %) | 1.000 |
| Anastomotic leak | 0 (0.0 %) | 2 (1.0 %) | 0.152 |
| Pleural effusion/pneumothorax | 0 (0.0 %) | 1 (0.5 %) | 0.390 |
| Wound dehiscence/healing delay | 0 (0.0 %) | 1 (0.5 %) | 0.390 |
| Gastrointestinal obstruction/perforation | 0 (0.0 %) | 1 (0.5 %) | 0.390 |
| Deep vein thrombosis | 1 (0.3 %) | 1 (0.5 %) | 1.000 |
| Two or more non-infectious complications | 5 (1.6 %) | 1 (0.5 %) | 0.412 |
| Co-infectious complications | 4 (1.3 %) | 8 (3.9 %) | 0.069 |
| (3) Total complications | 90 (28.1 %) | 36 (17.6 %) | 0.006 |
| (4) Deaths | 6 (1.9 %) | 2 (1.0 %) | 0.492 |
Chi-square tests or Fisher’s exact test were used
Incidence of complications among subgroups
| Calories or nutritional support not meeting guideline standards | Calories or nutritional support meeting guideline standards |
| |||
|---|---|---|---|---|---|
| Nutritional support < 7 days | Calories < 10 kcal | PN + EN ≥ 7 days | PN ≥7 days | ||
| Infectious complications | 43 (26.3 %) a | 43 (27.4 %) a | 17 (12.6 %) b | 18 (25.7 %) a | 0.010 |
| Non-infectious complications | 3 (1.8 %) a | 5 (3.2 %) a | 3 (2.2 %) a | 6 (8.6 %) b | 0.050 |
| Total complications | 46 (28.2 %) a | 44 (28.0 %) a | 17 (12.6 %) b | 19 (27.1 %) a | 0.005 |
| Death | 2 (1.2 %) a | 4 (2.5 %) a | 0 (0.0 %) a | 2 (2.8 %) a | 0.025 |
Chi-square tests or Fisher’s exact test were used
adenotes a subset of cohort categories whose column proportions did not differ significantly from each other, P ≥ 0.05
bdenotes a subset of cohort categories whose column proportions differed significantly from each other, P < 0.05
Risk factors for infectious complications
| Variable | Parameter | SEM | Wald value |
| OR 95 % CI |
|---|---|---|---|---|---|
| Gender | 0.224 | 0.249 | 0.809 | 0.368 | 1.251 (0.768, 2.037) |
| Age | 0.029 | 0.012 | 5.963 | 0.015 | 1.030 (1.006, 1.055) |
| BMI | −0.027 | 0.05 | 0.284 | 0.594 | 0.974 (0.883, 1.074) |
| Body weight loss >5 % | 0.093 | 0.045 | 4.306 | 0.038 | 1.097 (1.005, 1.198) |
| Food intake <75 % | 0.449 | 0.19 | 5.594 | 0.018 | 1.567 (1.080, 2.273) |
| Nutritional support that met recommended guidelines | −0.139 | 0.045 | 9.394 | 0.002 | 0.870 (0.796, 0.951) |
| Energy | 0.106 | 0.054 | 3.807 | 0.051 | 1.111 (0.998, 1.236) |
| Nitrogen | −1.446 | 0.753 | 3.685 | 0.055 | 0.235 (0.054, 1.031) |
Binary logistic regression analysis was used