Usefulness of the Malnutrition Screening Tool in patients with pulmonary tuberculosis

Prevalence and prognostic significance of malnutrition risk in patients with pulmonary tuberculosis: A hospital-based cohort study

Background

The prevalence and prognostic significance of malnutrition risk remain unclear in Chinese patients with pulmonary tuberculosis. Therefore, we aimed to investigate the malnutrition risk in Chinese patients and explore the relationship between malnutrition risk and follow-up outcomes.

Methods

We conducted a hospital-based cohort study from January 2020 to December 2020. Malnutrition risks were evaluated using nutritional scales, including the Nutritional Risk Screening 2002 (NRS-2002), the controlling nutritional status score (CONUT), the geriatric nutritional risk index (GNRI), and the prognostic nutritional index (PNI). The primary outcome was all-cause mortality at a one-year follow-up. Malnutrition risk was calculated, and the relationship between malnutrition and follow-up outcomes was analyzed. We assessed the performance of malnutrition risks to predict clinical outcomes in prognostic models.

Results

A total of 1,075 patients were included. According to NRS-2002, CONUT, GNRI, and PNI, 818 (76.09%), 954 (88.74%), 682 (63.44%), and 364 (33.86%) patients were at risk of malnutrition, respectively. Before 1-year follow-up, a total of 99 patients (9.2%) had died. After adjustment for risk factors, the association between severe malnutrition in CONUT (HR = 4.78, 95% CI: 1.14-20.11, P = 0.033), GNRI (HR = 3.53, 95% CI: 1.70-7.34, P = 0.001), or PNI (HR = 2.94, 95% CI: 1.76-4.88, P < 0.001) and death before 1-year follow-up remained significant. The addition of the nutritional scales to prognostic models improved death prediction, as validated by the integrated discrimination index (all P-values of <0.05).

Conclusion

Malnutrition in patients with pulmonary tuberculosis was associated with an increased risk of all-cause death in the long-term follow-up. Our findings provided evidence for the use of admission nutrition screening in patients with pulmonary tuberculosis.

Applicability of five nutritional screening tools in Chinese patients undergoing colorectal cancer surgery: a cross-sectional study

OBJECTIVES

To identify the most appropriate nutritional risk screening tool for patients undergoing colorectal cancer surgery, five nutritional screening tools, including the Nutritional Risk Screening 2002 (NRS 2002), Short Form of Mini Nutritional Assessment (MNA-SF), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST) and Nutritional Risk Index (NRI), were employed to evaluate the nutritional risk at admission and short-term clinical outcome prediction.

DESIGN

A cross-sectional study.

SETTING

A comprehensive affiliated hospital of a university in Shenyang, Liaoning Province, China.

PARTICIPANTS

301 patients diagnosed with colorectal cancer were continuously recruited to complete the study from October 2020 to May 2021.

PRIMARY AND SECONDARY OUTCOME MEASURES

Within 48 hours of hospital admission, five nutritional screening tools were used to measure the nutritional risk and to determine their relationship with postoperative short-term clinical outcomes.

RESULTS

The nutritional risk assesed by the five tools ranged from 25.2% to 46.2%. Taking the Subject Global Assessment as the diagnostic standard, MNA-SF had the best consistency (κ=0.570, p<0.001) and MST had the highest sensitivity (82.61%). Multivariate Logistic regression analysis after adjusting confounding factors showed that the NRS 2002 score ≥3 (OR 2.400, 95% CI 1.043 to 5.522) was an independent risk factor for postoperative complications and was the strongest predictor of postoperative complications (area under the curve 0.621, 95% CI 0.549 to 0.692). The scores of NRS 2002 (r=0.131, p<0.001), MNA-SF (r=0.115, p<0.05) and NRI (r=0.187, p<0.05) were poorly correlated with the length of stay. There was no correlation between the five nutritional screening tools and hospitalisation costs (p>0.05).

CONCLUSIONS

Compared with the other four nutritional screening tools, we found that NRS 2002 is the most appropriate nutritional screening tool for Chinese patients with colorectal cancer.

Malnutrition, Health and the Role of Machine Learning in Clinical Setting

Nutrition plays a vital role in health and the recovery process. Deficiencies in macronutrients and micronutrients can impact the development and progression of various disorders. However, malnutrition screening tools and their utility in the clinical setting remain largely understudied. In this study, we summarize the importance of nutritional adequacy and its association with neurological, cardiovascular, and immune-related disorders. We also examine general and specific malnutrition assessment tools utilized in healthcare settings. Since the implementation of the screening process in 2016, malnutrition data from hospitalized patients in the Geisinger Health System is presented and discussed as a case study. Clinical data from five Geisinger hospitals shows that ~10% of all admitted patients are acknowledged for having some form of nutritional deficiency, from which about 60-80% of the patients are targeted for a more comprehensive assessment. Finally, we conclude that with a reflection on how technological advances, specifically machine learning-based algorithms, can be integrated into electronic health records to provide decision support system to care providers in the identification and management of patients at higher risk of malnutrition.

Nutrition Status Among HIV-Positive and HIV-Negative Inpatients with Pulmonary Tuberculosis

BACKGROUND

The association between tuberculosis (TB) and malnutrition is well recognized. Considering the risk of mortality due to malnutrition in patients with TB, it is necessary to conduct a thorough nutrition assessment to identify individuals at nutrition risk. The study objective was to assess the nutrition status of hospitalized patients with TB, co-infected or not by human immunodeficiency virus (HIV).

METHODS

Patients with confirmed diagnosis of TB were included using a cross-sectional design. Nutrition assessment parameters included: body mass index (BMI), triceps skin-fold thickness (TSF), bioelectrical impedance analysis (BIA), mid-upper-arm circumference (MUAC), mid-arm muscle circumference (MAMC), food frequency questionnaire, Malnutrition Screening Tool (MST), Subjective Global Assessment (SGA), and serum levels of hemoglobin.

RESULTS

A total 108 patients completed the study. Forty-four patients (40.7%) were HIV positive. Considering the BMI, 36.1% of the patients met the criteria for nutrition deficiency. Body fat percentage was low in 27.8% of patients. In addition, more than half of the participants met criteria for malnutrition according to MUAC, MAMC, TSF, SGA, or MST. Malnutrition measured by MAMC was more frequent in HIV-positive patients (n=33, 75.0%) than in HIV-negative patients (n=31, 48.4%) (P = 0.010). Regarding the components of diet, selenium and vitamin C intake among HIV-positive patients was significantly lower than in HIV-negative patients.

CONCLUSIONS

We identified a high prevalence of malnutrition in hospitalized patients with pulmonary TB, regardless of the method used to assess nutrition status. In HIV-positive patients, malnutrition measured by MAMC was more frequent than in HIV-negative patients.

Quality Improvement in Clinical Nutrition: Screening and Mealtime Protection for the Hospitalized Patient

PURPOSE

The purpose of the quality improvement project was to (1) enhance awareness, accuracy, and use of the validated nutrition screening tool by the nurse and (2) improve compliance to the nutrition care plan that included increasing patient meal intake percentage.

DESCRIPTION OF THE PROJECT

Nurses were provided with an in-depth educational program focused on the implementation of the nutrition screening tool on patient admission to the clinical site. Second, a unit-level patient protected mealtime program was implemented in an effort to decrease unnecessary mealtime interruptions and promote nurses and nursing assistants to assist with meals during mealtime to improve patient meal intake percentage and, finally, to encourage collaboration between the clinical nurse specialist, unit level nurses, and registered dietitians to improve patient nutritional care.

OUTCOME

The results indicate that the quality improvement strategies were successful in promoting the patient protected mealtime program and use of the nutrition screening tool.

CONCLUSIONS

The clinical nurse specialist plays a valuable role in program development, implementation, and evaluation to achieve quality healthcare through interdisciplinary collaboration. Adhering to nutrition guidelines for the hospitalized adult patient improves nutrition care plan guidance and meal intake.