ObjectiveTo investigate the association between the preoperative nutritional risk and anastomotic leakage following anterior resection for the rectal cancer. MethodsA total of 321 patients with rectal cancer underwent anterior resection in our hospital between January 2008 and December 2013 were retrospectively analyzed. Preoperative nutritional status was evaluated using NRS 2002. Correlation of clinicopathologic characteristics with postoperative anastomotic leakage was evaluated using single factor analysis and Logistic regression model. ResultsAmong the 321 patients, the incidence of postoperative anastomotic leakage was 5.6% (18/321). Single factor analysis showed that the NRS2002 score≥3, clinicalpathologic stage (Ⅲ-Ⅳstage) and distance of tumor from the anal verge were the risk factors of anastomotic leakage after anterior leakage following anterior resection for rectal cancer. Logistic regression analysis revealed that the NRS2002 score (OR=4.125, 95% CI=2.062-7.004), clinicalpathologic stage (OR=3.334, 95% CI=2.062-7.004) and the distance of tumor from the anal verge (OR=2.341, 95% CI=2.559-15.838) were the independent risk factors for anastomotic leakage after anterior leakage following anterior resection for rectal cancer. Conciusions Preoperative NRS2002 score is helpful to predict the risk of anastomotic leakage after anterior resection of rectal cancer. Nutrition education should be strengthened to decrease the morbidity of the anastomotic leakage following anterior resection for the patients who's NRS2002 score≥3.
ObjectiveTo investigate the status of undernutrition, nutritional risk as well as nutritional support in patients with gastrointestinal tumor. MethodsIn this prospective cohort study, patients with gastrointestinal tumor were recruited from Septemper 2009 to June 2011. Patients were screened by using Nutritional Risk Screening 2002 (NRS2002) at admission. Data of the nutritional risk, application of nutritional support, complications, and tumor staging were collected. ResultsNine hundred and sixty-one patients with gastrointestinal tumor were recruited, the overall prevalence of nutritional risk was 38.9% (374/961) at admission, 49.2% （176/358） in gastric tumor and 32.8% （198/603） in colorectal tumor, respectively. The highest prevalence was found in stage Ⅳ gastric tumor 〔87.3% (48/55)〕 and colorectal tumor 〔58.8% (50/85)〕 while the lowest prevalence was found in stage ⅡA gastric tumor 〔16.1% (5/31)〕 and stageⅠcolorectal tumor 〔9.8% (6/61)〕. 62.3% (152/244) of gastric tumor patients with nutritional risk while 48.6% (144/296) without nutritional risk received nutritional support. 37.7% (92/244) of colorectal tumor patients with nutritional risk while 51.4% (152/296) without nutritional risk received nutritional support. The ratio of parental nutrition and enteral nutrition was 1.251. The rate of complications in the gastrointestinal tumor patients with nutritional risk was higher than that in the patients without nutritional risk 〔32.4% (121/374) versus 20.4% (120/587), P=0.000 0〕. For the gastrointestinal tumor patients with nutritional risk, the complication rate of the patients with nutritional support was significantly lower than that of the patients without nutritional support 〔27.5% (67/244) versus 40.8% (53/130), P=0.008 6〕. For the gas trointestinal tumor patients without nutritional risk, the complication rate of gastric tumor patients with nutritional support was significantly lower than that of the patients without nutritional support (P=0.039 6), while the complication rate was not significantly different in the colorectal tumor patients with nutritional support or not (P=0.464 7). ConclusionsPatient with gastrointestinal tumor has a high nutritional risk which is related to tumor staging. Patients with nutritional risk have more complications, and nutritional support is beneficial to the patients with nutritional risk by a lower complication rate.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.
【摘要】 目的 评价以问题为基础式学习与病例讨论式学习在“临床风险筛查”培训教学过程中的应用效果。 方法 2010年6月-2011年7月，联合应用两种教学方法对参训医学生进行培训，然后进行临床资料采集、资料整理等实践活动。最后，对学生培训效果进行总结。 结果 共培训医学生50人，并对398例患者进行营养风险筛查。45人（90%）参与者认为此教学方式能激发自身主动学习兴趣，40人（80%）认为通过此次培训能够使学生逐步建立科学研究的思维方式，但有20人（40%）认为短期内采用两种教学方式能够对论文写作、统计学理论和实践等方面能力的提高有促进作用。影响医学生科研能力培训效果的主要因素集中体现在学习任务量的加重、对新教学方法不适应、自学能力三方面。 结论 联合应用问题为基础式学习与病例讨论式学习教学模式，在提高医学生学习主动性、积极性、团队合作及人际沟通能力等方面有优势，但尚存部分问题需要进一步解决。【Abstract】 Objective To explore the effectiveness of problem-based learning (PBL) and case-based study (CBS) in clinical nutritional risk screening training program. Methods All the students were trained by the combination methods of PBL and CBS. Clinical assessment, data collection and the collection of samples were conducted by the students. Finally, the impact of the new teaching strategy was assessed. Results From June 2010 to July 2011, there were a total of 50 students who attended the training program from various departments, and 398 patients were screened for nutritional risk. Forty-five students (90%) thought that this teaching method could inspire their interest in study; 40 students (80%) thought that this teaching method could help them establish a scientific way of thinking. Students who thought this teaching methodology could contribute to their enhancement of writing and statistical skills accounted for only 40 percent of the total enrollment. “High learning burden”, “difficulty in adapting to the new teaching methods” and “the ability of self-study” were the main factors which affected the motivation of students. Conclusions Combined applications of PBL and CBS have advantages in improving students′ learning initiative and enthusiasm, and developing the abilities of team cooperation and interpersonal communication skills. However, there are still some issues that need to be addressed.
ObjectiveTo investigate the nutritional risk, incidence of malnutrition, and clinical application of nutrition support in hospitalized patients with gastric cancer by the nutritional risk screening (NRS) 2002 score summary table. MethodsFrom June 2009 to February 2010, nutritional risk screen and application of clinical nutritional support were carried out in the hospitalized patients with gastric cancer in this hospital. Nutritional risk was assessed case-by-case according to the severity of illness, nutritional status 〔including body mass index (BMI), recent changes in body weight and eating〕 and patients age. NRS ≥3 was accepted as nutritionally at-risk, while NRS lt;3 no nutritional risk; BMI lt;18.5 kg/m2 (or albumin lt;30 g/L) combined with clinical conditions was judged to be malnourished. Results Three hundreds and eighty-six patients were included, 329 of which completed the NRS2002 screening. One hundred and sixty-five patients (50.15%) were at nutritional risk, while another 164 (49.85%) were no nutritional risk. Malnutrition was found in 57 patients (17.33%). By gender, male malnourished patients and nutritionally at-risk patients were accounting for 16.45% (38/231) and 48.05% (111/231) respectively, while female nutritionally at-risk patients and malnourished patients were accounting for 55.1% (54/98) and 19.39% (19/98) respectively, 72.04% (237/329) of the screened patients accepted clinical nutrition support, among which, 115 patients were at nutritional risk, accounting for 69.70% in that group, and 122 patients were no nutritional risk, accounting for 74.39% in that group. ConclusionsThe incidences of malnutrition and nutritionally at-risk in hospitalized gastric cancer patients are high. And irrationality of clinical nutrition support exists. Evidence-based guidelines are required to improve the nutritional status of support.
ObjectiveTo explore the nutritional status of inpatients with chronic kidney disease (CKD) and analyze the factors affecting nutritional risk, to provide theoretical basis for further nutritional support.MethodsConvenience sampling method was adopted to select 719 inpatients with CKD as research subjects in a tertiary hospital in Chengdu, Sichuan Province from January to March 2018. Nutritional Risk Screening 2002 was used for nutritional risk screening, and chi-square test, t test, one-way analysis of variance, and multiple linear regression analysis were used to explore the influencing factors of nutritional risk.ResultsAmong the 719 cases, whose average nutritional risk score was 1.79±1.11, 158 cases had nutritional risk, accounting for 22.0%. There were statistically significant differences in nutritional risk score between patients of age<60 years and ≥60 years, between males and females, between patients with CKD stage 1-3 and stage 4-5, between patients with serum albumin level <30 g/L and ≥30 g/L, and between patients with and without anaemia (P<0.05). The results of multiple linear regression analysis showed that the nutritional risk score of CKD patients was negatively correlated to serum albumin level (P=0.016), positively correlated to age (P<0.001), and higher in females than that in males (P=0.001).ConclusionsInpatients with CKD have a higher nutritional risk, with age, gender and serum albumin as the main influencing factors. Based on the above factors, the medical staff should continue to take targeted intervention measures to assess the nutritional status of CKD inpatients early and conveniently, so as to provide scientific basis for further nutritional support and nutritional nursing.
ObjectiveTo introduce the progresses and applications of nutritional status assessment in hospitalized patients. MethodsThe related literatures of nutritional status assessment were reviewed. ResultsThe rates of malnutrition and nutritional risk were high in hospitalized patients worldwide. Traditional nutrition assessment tools were not in common use in all hospitalized patients. All clinical health care workers should use the most suitable tool when faced with different patients. ConclusionAll hospitalized patients should be screened for nutritional risk on admission in order to improve clinical outcomes and reduce overall treatment costs.