[Analysis of the effect of target-directed treatment based on nutrition-oriented information software on nutritional compliance rate in adults with severe traumatic brain injury: a mixed cohort study].

OBJECTIVE: To analyze the effect of target-oriented treatment based on nutrition-oriented information software on nutritional standards of adult patients with severe traumatic brain injury (sTBI). METHODS: Adult patients with sTBI admitted to the department of emergency intensive care unit (EICU) of Huzhou First People's Hospital were enrolled. Taking the online time of information software as the node on March 1st 2019, the patients who underwent early standardized enteral nutrition (EN) process from March 1st 2018 to February 28th 2019 were taken as the control group. The patients who received nutrition management by the nutritional support management system software for critical patients from March 1st 2019 to February 29th 2020 were used as the experimental group. The software was integrated with critical information system software. The effects of nutritional support in two groups were evaluated, including starting time of EN; total energy supply, total protein supply, energy compliance rate on 7 days and 14 days; the total albumin. And the related indicators of critical illness management were evaluated, including the survival rate of intensive care unit (ICU) at 28 days, duration of invasive mechanical ventilation (IMV), successful rates of weaning from IMV, rapid shallow breath index (RSBI) after spontaneous breathing test (SBT), serum cholinesterase on 7 days and 14 days, etc. RESULTS: Fifty-one patients with sTBI were included in the analysis, 28 in the control group and 23 in the experimental group. There were no significant differences in baseline data between the two groups, such as gender, age, body mass index (BMI), acute physiology and chronic health evaluation II (APACHE II) score, sequential organ failure assessment (SOFA) score, nutritional risk score (NUTRIC), etc., which were comparable. Compared with the control group, the starting time of EN in experimental group was significantly earlier (hours: 26.82±8.33 vs. 36.73±12.86, P = 0.046). The total protein supply on 7 days and 14 days [g×kg-1×d-1: 1.87 (1.36, 1.92) vs. 1.02 (0.87, 1.67), 2.63 (1.49, 1.92) vs. 1.23 (0.89, 1.92), both P < 0.05], the total energy supply on 14 days (kJ×kg-1×d-1: 154.26±68.16 vs. 117.99±112.42, P = 0.033), the energy compliance rate on 14 days [80.0% (16/20) vs. 35.7% (10/28), P = 0.002], and the serum cholinesterase on 14 days [U/L: 5 792.5 (4 621.0, 8 131.0) vs. 4 689.7 (3 639.0, 7 892.0), P = 0.048] in experimental group were significantly increased. There were no significant differences in other indicators between the two groups [total energy supply on 7 days (kJ×kg-1×d-1): 91.50±30.50 vs. 92.88±28.16, P = 0.184; energy compliance rate on 7 days: 34.7% (8/23) vs. 21.4% (6/28), P = 0.288; total albumin (g): 97.80±46.29 vs. 114.29±52.68, P = 0.086; 28-day survival rate of ICU: 87.0% vs. 78.6%, P = 0.081; duration of IMV (days): 14.33±7.68 vs. 15.68±6.82, P = 0.074; successful rates of weaning from IMV: 69.6% vs. 67.9%, P = 0.895; RSBI after SBT (breaths×min-1×L-1): 26.84±10.69 vs. 33.68±8.94, P = 0.052; serum cholinesterase on 7 days (U/L): 4 289.7 (2 868.0, 7 291.0) vs. 3 762.2 (2 434.0, 6 892.0), P = 0.078]. CONCLUSIONS: The development and clinical application of nutrition support information software is helpful for the standardized implementation of the nutritional support treatment process for adult patients with sTBI, which is worthy of further clinical research and promotion.