Is self-screening for 'at risk of malnutrition' feasible in a home setting?

INTRODUCTION: Despite malnutrition being established as a well-known risk for postoperative complications, the lack of screening for nutritional risk remains a challenge. The aim of this study was to investigate whether self-screening for nutritional risk prior to surgery is feasible in a home setting and if it will increase number of patients screened for nutritional risk, and secondly, to compare their screening results with the "in-hospital assessments" conducted by healthcare professionals. MATERIALS AND METHODS: This was a prospective study involving patients from six randomly selected surgical wards at two Norwegian hospitals as a part of the "Feasibility study of implementing the surgical Patient Safety Checklist the (PASC)". This checklist included a self-reported screening tool based on the Nutritional Risk Screening tool (NRS 2002) to identify "at risk of malnutrition" in patients that will undergo surgery the next 3 months or less. The original screening tool (NRS 2002) was used as a standard routine to identify "at risk of malnutrition" by healthcare professionals at hospital. The interrater reliability between these results was investigated using Fleiss multi rater Kappa with overall agreement and reported with Landis and Koch's grading system (poor, slight, fair, moderate, substantial, and almost perfect). RESULTS: Out of 215 surgical patients in the home setting, 164 (76.7%) patients completed the self-reported screening tool. A total of 123 (57.2%) patients were screened in-hospital, of whom 96 (44.7%) prior to surgery and 96 (44.7%) were screened both at hospital (pre- and post-surgery) and at home. Self-screening at home improved malnutrition screening participation by 71.9% compared to hospital screening prior to surgery (165 (76.7%) and 96 (44.7%), respectively) and by 34.1% compared to pre- and postoperative in-hospital screening, 165 (76.7%) and 123 (57.2%), respectively). The degree of agreement between patients identified to be "at risk of malnutrition" by the self-reported screening tool and healthcare professionals was poor (κ = - 0.04 (95% CI: -0.24, 0.16), however, the degrees of agreement between the patients and healthcare professionals answers to the initial NRS 2002 questions "low BMI", "weight loss", and "reduced food intake" were almost perfect (κ = 1.00 (95% CI: 0,82, 1.18)), moderate (κ = 0.55 (95% CI: 0.34, 0.75)), and slight (κ = 0.08 (95% CI: - 0.10, 0.25) respectively. CONCLUSIONS: Three out of four patients completed the self-screening form and the preoperative screening rate improved with 70%. Preoperatively self-screening in a home setting may be a feasible method to increase the number of elective surgical patients screened for risk of malnutrition. TRIAL REGISTRATION: The trial is registered in ClinicalTrials.gov ID NCT03105713. https://classic.clinicaltrials.gov/ct2/show/NCT03105713.

Malnutrition as a prognostic factor for 2-year mortality in hospitalized patients in Norway: A matched cohort study.

BACKGROUND: Risk of malnutrition and malnutrition have been previously associated with increased risk of mortality. It remains unclear, however, whether the severity of malnutrition differentiates in association with all-cause mortality. The aim was to assess the association between being at risk of malnutrition or being diagnosed with malnutrition according to the diagnostic assessment of the Global Leadership Initiative on Malnutrition (GLIM) with all-cause mortality during a 2-year follow-up in hospitalized patients. METHODS: A matched cohort study was conducted in hospitalized patients (excluding cancer, intensive care, and transmissible infections) at a university hospital in Bergen, Norway. All patients underwent nutrition screening with the Nutritional Risk Screening 2002 and a further nutrition assessment using the GLIM criteria. All-cause mortality was estimated from the Norwegian death registry after 2 years, and risk factors were calculated by Cox regression analysis. RESULTS: Among 326 patients included, 55 patients died within 2 years (17% mortality rate). Risk of malnutrition was associated with increased all-cause mortality, which disappeared after adjustment for age and sex. Malnutrition was associated with an increased risk of all-cause mortality at 2 years also after adjustment for age and sex and, additionally, for further comorbidities (hazard ratio = 2.50; 95% CI, 1.41-4.42). When analyzed separately only severe malnutrition was associated with mortality (hazard ratio = 2.73; 95% CI, 1.44-5.15). CONCLUSION: The findings highlight a strong association between inpatients with severe malnutrition, defined by the GLIM criteria, and an increased risk of all-cause mortality within a 2-year follow-up.

Feasibility of implementing a surgical patient safety checklist: prospective cross-sectional evaluation.

BACKGROUND: The World Health Organization's Global Patient Safety Action Plan 2021-2030 call for attention to patient and family involvement to reduce preventable patient harm. Existing evidence indicates that patients' involvement in their own safety has positive effects on reducing hospitalisation time and readmissions. One intervention reported in the literature is the use of checklists designed for patients' completion. Studies on such checklists are small scale, but they are linked to reduction in length of hospital stay and readmissions. We have previously developed and validated a two-part surgical patient safety checklist (PASC). This study aims to investigate the feasibility of the PASC usage and implementation prior to its use in a large-scale clinical trial. METHODS: This is a prospective cross-sectional feasibility study, set up as part of the design of a larger stepped-wedge cluster randomised controlled trial (SW-CRCT). Descriptive statistics were used to investigate patient demographics, reasons for not completing the PASC and percentage of PASC item usage. Qualitative patient interviews were used to identify barriers and drivers for implementation. Interview was analysed through content analysis. RESULTS: Out of 428 recruited patients, 50.2% (215/428) used both parts of PASC. A total of 24.1% (103/428) of the patients did not use it at all due to surgical or COVID-19-related cancellations. A total of 19.9% (85/428) did not consent to participate, 5.1% (22/428) lost the checklist and 0.7% (3/428) of the patients died during the study. A total of 86.5% (186/215) patients used ≥ 80% of the checklist items. Barriers and drivers for PASC implementation were grouped into the following categories: Time frame for completing the checklist, patient safety checklist design, impetus to communicate with healthcare professionals and support throughout the surgical pathway. CONCLUSIONS: Elective surgical patients were willing and able to use PASC. The study further revealed a set of barriers and drivers to the implementation. A large-scale definitive clinical-implementation hybrid trial is being launched to ascertain the clinical effectiveness and scalability of PASC in improving surgical patient safety. TRIAL REGISTRATION: Clinicaltrials.gov: NCT03105713. Registered 10.04.2017.

Comparison of nutritional risk screening with NRS2002 and the GLIM diagnostic criteria for malnutrition in hospitalized patients.

Nutritional risk screening, to identify patients at risk of malnutrition, is the first step in the prevention and treatment of malnutrition in hospitalized patients, and should be followed by a thorough nutritional assessment resulting in a diagnosis of malnutrition and subsequent treatment. In 2019, a consensus on criteria has been suggested for the diagnosis of malnutrition by the Global Leadership Initiative for Malnutrition (GLIM). This study investigates the diagnosis of malnutrition in hospitalized patients using nutritional risk screening and the diagnostic assessment suggested by GLIM. Hospitalized patients (excluding cancer, intensive care, and transmissible infections) who underwent nutritional risk screening (by NRS2002) were included. Nutritional risk screening was followed by anthropometric measurements including measurement of muscle mass, assessment of dietary intake and measurement of serum C-reactive protein (CRP) for inflammation in all patients. Malnutrition was diagnosed according to the GLIM-criteria. In total, 328 patients (median age 71 years, 47% women, median length of stay 7 days) were included. Nutritional risk screening identified 143 patients as at risk of malnutrition, while GLIM criteria led to a diagnosis of malnutrition in 114 patients. Of these 114 patients, 77 were also identified as at risk of malnutrition by NRS2002, while 37 patients were not identified by NRS2002. Malnutrition was evident in fewer patients than at risk of malnutrition, as expected. However, a number of patients were malnourished who were not identified by the screening procedure. More studies should investigate the importance of inflammation and reduced muscle mass, which is the main difference between nutritional risk screening and GLIM diagnostic assessment.

Development and validation of patients' surgical safety checklist.

BACKGROUND: Poor uptake and understanding of critical perioperative information represent a major safety risk for surgical patients. Implementing a patient-driven surgical safety checklist might enhance the way critical information is given and increase patient involvement in their own safety throughout the surgical pathway. The aim of this study was to develop and validate a Surgical Patient Safety Checklist (PASC) for use by surgical patients. METHOD: This was a prospective study, involving patient representatives, multidisciplinary healthcare professionals and elective surgical patients to develop and validate PASC using consensus-building techniques in two Norwegian hospitals. A set of items intended for PASC were rated by patients and then submitted to Content Validation Index (CVI) analyses. Items of low CVI went through a Healthcare Failure Mode and Effect Analysis (HFMEA) Hazard Scoring process, as well as a consensus process before they were either kept or discarded. Reliability of patients' PASC ratings was assessed using Intraclass Correlation Coefficient analysis. Lastly, the face validity of PASC was investigated through focus group interviews with postoperative patients. RESULTS: Initial development of PASC resulted in a checklist consisting of two parts, one before (32 items) and one after surgery (26 items). After achieving consensus on the PASC content, 215 surgical patients from six surgical wards rated the items for the CVI analysis on a 1-4 scale and mostly agreed on the content. Five items were removed from the checklist, and six items were redesigned to improve PASCs' user-friendliness. The total Scale-level index/Average (S-CVI/Ave) before revision was 0.83 and 0.86 for pre- and post-operative PASC items, respectively. Following revision, these increased to 0.86 and 0.93, respectively. The PASC items reliability score was 0.97 (95% confidence interval 0.96 to 0.98). The qualitative assessment identified that patients who used PASC felt more in control of their situation; this was achieved when PASC was given to them at what they felt was the right time and healthcare professionals took part in its usage. CONCLUSION: Multidisciplinary perioperative care staff and surgical patients agreed upon PASC content, the checklist ratings were reliable, and qualitative assessment suggested good face validity. PASC appears to be a usable and valid checklist for elective surgical patients across specialties.

Prevalence of patients "at risk of malnutrition" and nutritional routines among surgical and non-surgical patients at a large university hospital during the years 2008-2018.

BACKGROUND & AIMS: Being "at risk of malnutrition", which includes both malnutrition and the risk to be so, is associated with increased morbidity and mortality in both surgical and non-surgical patients. Several strategies and guidelines have been introduced to prevent and treat this, but the effects are scarcely investigated. This study aims to evaluate the long-term effects of these efforts by examining trends concerning: 1) the prevalence of patients «at risk of malnutrition¼ and 2) the use of nutritional support and diagnostic coding related to malnutrition over an 11-year period in a large university hospital. Moreover, we wanted to investigate if there was a difference in trends between surgical and non-surgical patients. METHODS: From 2008 to 2018, Haukeland University Hospital, Norway, conducted 34 point-prevalence surveys to investigate the prevalence of patients «at risk of malnutrition¼, as defined by Nutritional Risk Screening 2002, and the use of nutritional support at the hospital. Diagnostic coding included ICD-10 codes related to malnutrition (E43, E44 and E46) at hospital discharge, which were extracted from the electronic patient journal. Trend analysis by calendar year was investigated using logistic regression models with and without adjustment for age (continuous), gender (male/female) and Charlson Comorbidity Index (none, mild, moderate or severe). RESULTS: The number of patients included in the study was 18 933, where 52.1% were male and the median (25th, 75th percentile) age was 65 (51, 76) years. Of these, 5121 (27%) patients were identified to be «at risk of malnutrition¼. Fewer surgical patients (21.2%) were «at risk of malnutrition¼, as compared to non-surgical patients (30.9%) (p < 0.001). Adjusted trend analysis did not identify any change in the prevalence of patients «at risk of malnutrition¼ from 2008 to 2018. The percentage of patients «at risk of malnutrition¼ who received nutritional support increased from 61.6% in 2008 to 71.9% in 2018 (p < 0.001), with a range from 55.6 to 74.8%. This trend was seen for both surgical and non-surgical patients (p < 0.001 for both). Similarly, dietitians were more involved in the patients' treatment (range: 3.8-16.7%), and there was increased use of ICD-10 codes related to malnutrition during the study period (range: 13.0-41.8%) (p < 0.001). These trends were seen for both surgical patients and non-surgical patients (p < 0.001), despite use being less common for surgical patients, as compared to non-surgical patients (p < 0.001). CONCLUSIONS: This large hospital study shows no apparent change in the prevalence of patients «at risk of malnutrition¼ from 2008 to 2018. However, more patients «at risk of malnutrition¼, both surgical and non-surgical, received nutritional support, treatment from a dietitian and a related ICD-10 code over the study period, indicating improved nutritional routines as a result of the implementation of nutritional guidelines and strategies.

Weight loss and BMI criteria in GLIM's definition of malnutrition is associated with postoperative complications following abdominal resections - Results from a National Quality Registry.

BACKGROUND & AIMS: Although malnutrition is thought to be common among patients with intraabdominal diseases and is recognized as a risk factor for postoperative complications, diagnostic criteria for malnutrition have not been consistent. Thus, the Global Leadership Initiative in Malnutrition (GLIM) has recently published new criteria for malnutrition. The aims of this study were to investigate the prevalence of malnutrition according to weight loss and BMI criteria in GLIM's second step for the diagnosis and their association with severe postoperative complications in patients undergoing gastrointestinal resections. METHOD: The current study includes adult patients who were prospectively included in the Norwegian Registry for Gastrointestinal Surgery in the period between 2015 and 2018. Exclusion criteria were acute surgery and lack of information regarding preoperative weight and/or postoperative complications. Severe surgical complications were classified according to the Revised Accordion Classification system and malnutrition with the GLIM criteria. Associations were assessed by logistic regression analyses, and the adjusted odds ratio included age (continuous), gender (male/female) and scores from the American Society of Anesthesiologists Physical Status Classification System and the Eastern Cooperative Oncology Group. RESULTS: Out of 6110 patients, 2161 (35.4%) were classified as with malnutrition, 1206 (19.7%) with moderate and 955 (15.6%) with severe malnutrition. Malnourished patients were 1.29 (95% CI: 1.13-1.47) times more likely to develop severe surgical complications, and 2.15 (95% CI: 1.27-3.65) times more likely to die within 30 days, as compared to those who were not. CONCLUSION: Preoperative malnutrition is common among patients having gastrointestinal resections and is associated with an increased risk of severe surgical complications.

A positive association between nutritional risk and the incidence of surgical site infections: A hospital-based register study.

Surgical site infections (SSI) are amongst the most common health care-associated infections and have adverse effects for patient health and for hospital resources. Although surgery guidelines recognize poor nutritional status to be a risk factor for SSI, they do not tell how to identify this condition. The screening tool Nutritional Risk Screening 2002 is commonly used at hospitals to identify patients at nutritional risk. We investigated the association between nutritional risk and the incidence of SSI among 1194 surgical patients at Haukeland University Hospital (Bergen, Norway). This current study combines data from two mandatory hospital-based registers: a) the incidence of SSI within 30 days after surgery, and b) the point-prevalence of patients at nutritional risk. Patients with more than 30 days between surgery and nutritional risk screening were excluded. Associations were assessed using logistic regression, and the adjusted odds ratio included age (continuous), gender (male/female), type of surgery (acute/elective) and score from The American Society of Anesthesiologists Physical Status Classification System. There was a significant higher incidence of SSI among patients at nutritional risk (11.8%), as compared to those who were not (7.0%) (p = 0.047). Moreover, the incidence of SSI was positively associated with the prevalence of nutritional risk in both simple (OR 1.76 (95% CI: 1.04, 2.98)) and adjusted (OR 1.81 (95% CI: 1.04, 3.16)) models. Answering "yes" to the screening questions regarding reduced dietary intake and weight loss was significantly associated with the incidence of SSI (respectively OR 2.66 (95% CI: 1.59, 4.45) and OR 2.15 (95% CI: 1.23, 3.76)). In conclusion, we demonstrate SSI to occur more often among patients at nutritional risk as compared to those who are not at nutritional risk. Future studies should investigate interventions to prevent both SSI and nutritional risk among surgical patients.

Circulating B-vitamins and smoking habits are associated with serum polyunsaturated Fatty acids in patients with suspected coronary heart disease: a cross-sectional study.

The long-chain polyunsaturated fatty acids are considered to be of major health importance, and recent studies indicate that their endogenous metabolism is influenced by B-vitamin status and smoking habits. We investigated the associations of circulating B-vitamins and smoking habits with serum polyunsaturated fatty acids among 1,366 patients who underwent coronary angiography due to suspected coronary heart disease at Haukeland University Hospital, Norway. Of these, 52% provided information on dietary habits by a food frequency questionnaire. Associations were assessed using partial correlation (Spearman's rho). In the total population, the concentrations of most circulating B-vitamins were positively associated with serum n-3 polyunsaturated fatty acids, but negatively with serum n-6 polyunsaturated fatty acids. However, the associations between B-vitamins and polyunsaturated fatty acids tended to be weaker in smokers. This could not be solely explained by differences in dietary intake. Furthermore, plasma cotinine, a marker of recent nicotine exposure, showed a negative relationship with serum n-3 polyunsaturated fatty acids, but a positive relationship with serum n-6 polyunsaturated fatty acids. In conclusion, circulating B-vitamins are, in contrast to plasma cotinine, generally positively associated with serum n-3 polyunsaturated fatty acids and negatively with serum n-6 polyunsaturated fatty acids in patients with suspected coronary heart disease. Further studies should investigate whether B-vitamin status and smoking habits may modify the clinical effects of polyunsaturated fatty acid intake.

Iron deficiency is uncommon among lactating women in urban Nepal, despite a high risk of inadequate dietary iron intake.

The main objective of the present study was to examine the association between dietary Fe intake and dietary predictors of Fe status and Hb concentration among lactating women in Bhaktapur, Nepal. We included 500 randomly selected lactating women in a cross-sectional survey. Dietary information was obtained through three interactive 24 h recall interviews including personal recipes. Concentrations of Hb and plasma ferritin and soluble transferrin receptors were measured. The daily median Fe intake from food was 17·5 mg, and 70% of the women were found to be at the risk of inadequate dietary Fe intake. Approximately 90% of the women had taken Fe supplements in pregnancy. The prevalence of anaemia was 20% (Hb levels < 123 g/l) and that of Fe deficiency was 5% (plasma ferritin levels < 15 µg/l). In multiple regression analyses, there was a weak positive association between dietary Fe intake and body Fe (ß 0·03, 95% CI 0·014, 0·045). Among the women with children aged < 6 months, but not those with older infants, intake of Fe supplements in pregnancy for at least 6 months was positively associated with body Fe (P for interaction < 0·01). Due to a relatively high dietary intake of non-haem Fe combined with low bioavailability, a high proportion of the women in the present study were at the risk of inadequate intake of Fe. The low prevalence of anaemia and Fe deficiency may be explained by the majority of the women consuming Fe supplements in pregnancy.