Nutritional Risk Score Research Articles

Construction of an inflammatory, nutritional, and metabolic prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning-based approach

Abstract Background Chronic inflammation, malnutrition, and metabolic syndrome contribute to the underlying mechanisms of heart failure with preserved ejection fraction (HFpEF). Inflammatory, nutritional, and metabolic biomarkers often interact with each other and affect the prognosis of patients. Purpose We aimed to identify the most predictive indicators from a pool of 21 biomarkers encompassing inflammation, nutritional status, as well as lipid, glucose, thyroid, and uric acid metabolism. Subsequently, predictive biomarkers were used to develop a risk score to enhance risk prediction for patients with HFpEF. Methods We included patients diagnosed with HFpEF and without infective or systemic disease. The primary outcome was all-cause mortality. We employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression to screen the biomarkers. A machine learning-based approach was utilized to fine-tune the optimal model parameters. Additionally, we generated 1000 bootstrapping datasets to identify biomarkers recurring above a 95% frequency in repetitions, which were then employed to formulate the biomarker risk score. The discrimination of incorporating the risk score into the basic model was evaluated using 100 iterations of 5-fold cross-validation to assess the predictive efficacy. Results Among the 1311 included patients (with a median age of 64 years and 42.6% female), 363 patients (27.7%) experienced mortality over a median follow-up period of 2.7 years. The final risk score model was derived from 5 biomarkers—albumin (ALB), red blood cell distribution width-standard deviation (RDW-SD), lymphocytes, triiodothyronine (T3), and uric acid—each selected in over 95% of 1000 bootstrapping iterations. Integration of this risk score into the basic model notably enhanced discrimination (∆C-index=0.015, 95% CI 0.005-0.023) and reclassification (IDI: 3.3%, 95% CI 1.7%-5.8%; NRI: 15.2%, 95% CI 6.5%-22.5%) for risk stratification. In time-dependent receiver operating characteristic (ROC) analysis, the mean area under the curve (AUC) of the risk score was 0.688, 0.710, and 0.738 at 1, 3, and 5 years post-discharge, respectively, in the cross-validation sets. Incorporating the risk score into the basic model significantly improved the AUC at 1, 3, and 5 years (DeLong test P-value<0.05). Furthermore, in multivariable Cox regression, the risk score demonstrated an independent association with all-cause mortality (HR: 1.81, 95% CI 1.51-2.16, P<0.001 per 1 score increase). Conclusions A risk score derived from 5 commonly used inflammatory, nutritional, thyroid and uric acid metabolic biomarkers can effectively identify high-risk patients with HFpEF. This approach supports the development of potential individualized management strategies for patients with HFpEF.Study population and model constructionPredictive performance of the risk score

Effect of a colorectal bundle in an entire health care region in Switzerland: Results from a prospective cohort study (EvaCol study).

Standardisation has the potential to serve as a measure to mitigate complication rates. The objective was to assess the impact of standardisation by implementing a colorectal bundle (CB), which comprises nine elements, on the complication rates in left-sided colorectal resections. This prospective, multicentre, observational, cohort trial was conducted in Switzerland at nine participating hospitals. During the control period, each patient was treated in accordance with the local standard protocol at their respective hospital. In the CB period, all patients were treated in accordance with the CB. The primary endpoint was the Comprehensive Complication Index (CCI) at 30 days. A total of 1141 patients were included (723 in the No CB group and 418 in the CB group). Median age was 66 years and 50.6% were female. Median CCI before and after CB implementation was 0.0 (Interquartile Range [IQR]: 0.0-20.9). A hurdle model approach was used for the analysis. The CB was not associated with the presence or severity of complications. Older age (Odds Ratio [OR] 1.02, 95% Confidence Intervall [CI]: 1.00-1.03), surgery for malignancy (OR 1.34, 95% CI: 1.01-1.92), emergency surgery (OR 2.19, 95% CI: 1.31-3.41), elevated nutritional risk score (OR 1.13, 95% CI: 1.01-1.24) and Body-Mass Index (OR 1.04, 95% CI: 1.00-1.06) were associated with higher odds of postoperative complications. In a supplementary per-protocol analysis, for each additional item of the CB fulfilled, the odds of anastomotic leakage (AL) were 24% lower (OR 0.76, 95% CI: 0.64-0.93). Dedicated teams can establish high quality colorectal services in a network of hospitals with a joint standard. The study can serve as a model for other healthcare settings to conduct and implement quality improvement programs. The consistent implementation of the CB items can reduce the occurrence of AL.

Investigating the complex relationship and influencing factors of frailty on nutritional status in maintenance hemodialysis patients.

Given the high prevalence and significant challenges of frailty, a state of increased vulnerability to adverse health outcomes, among maintenance hemodialysis (MHD) patients, this cross-sectional study aimed to investigate its prevalence and explore its association with nutritional status and other relevant factors. The study involved 290 MHD patients with an average age of 52.98 ± 13.65 years. Frailty assessments, nutritional evaluations, and medical status measurements were performed. Data analysis involved descriptive statistics, correlation analyses, and multivariate logistic regression. Among the patients, 70.3% were identified with frailty (16.9% frail, 53.4% pre-frail). Frailty was more prevalent in female patients compared to males and correlated positively with age, marital status, caregiving needs, comorbidities, dialysis duration, and higher nutritional risk scores. Negative correlations were observed with serum albumin, hemoglobin, body weight, and height. A significant prevalence of frailty was found in MHD patients, with notable associations to various demographic, clinical, and nutritional factors.

The impact of web-based education provided to parents on the nutritional risk of preschoolers: A quasi-experimental study.

The purpose of this study was to evaluate the effectiveness of web-based nutrition education for parents of preschool children in reducing nutritional risk. The study was conducted in a one-group pretest-posttest quasi-experimental design. Parents of 3-5-year-old children from 11 preschools in Istanbul participated. They underwent a web-based nutrition education program. The NutriSTEP assessment tool was used to evaluate the nutritional risk score as a pretest assessment, followed by the training program. Posttests were conducted at 1- and 3-month intervals. Before the intervention, 55.8% of the children exhibited high nutritional risk. After the intervention, this percentage decreased significantly at the 1-month and 3-month follow-ups, with 94.2% and 93.6% of the children classified as low risk, respectively. The analysis also revealed significant associations between children's eating behaviours and factors such as maternal education, family income and family structure. As a result, web-based nutrition education was effective in reducing nutritional risk among preschool children. The findings underscore the importance of using technology for nutrition interventions, especially in diverse populations. The training program's simple, short and understandable video increased participants' interest in the training and encouraged regular follow-up.

A scoring system based on inflammatory and nutritional indicators to predict the long-term survival of patients with non-metastatic nasopharyngeal carcinoma

To develop a simple scoring system based on baseline inflammatory and nutritional markers to predict the long-term prognosis of patients with nasopharyngeal carcinoma (NPC). Conducted a retrospective analysis of clinical data from 1024 newly diagnosed non-metastatic NPC patients. A total of 15 pre-treatment inflammatory and nutritional markers were collected as candidate variables. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff points for each parameter. Survival analysis was performed using Kaplan–Meier method and Cox regression analysis. Besides, the Inflammation Nutrition Risk Score (INRS) was calculated for each patient by assigning each independent prognostic factor a score of 1. Multivariate Cox regression analysis showed that serum albumin (ALB), systemic immune-inflammation index, and monocyte count (M) were independent prognostic factors for OS (P < 0.05). Survival analysis showed that higher INRS was associated with a worsened prognosis. Patients in the high-risk group had shorter OS than in the low-risk group. In the training group, the 3-, 5-, and 8-years OS rates for the low-risk group versus high-risk group were 92.5% versus 87.8%, 87.4% versus 75.1%, and 84.6% versus 62.2%, respectively (P < 0.05). In the validation group, the 3-, 5-, and 8-years OS rates for the low-risk group vs. high-risk group were 95.0% versus 86.4%, 92.1% versus 82.2%, and 89.5% versus 74.3%, respectively (P < 0.05). Further subgroup analysis showed a significant difference in the OS between the high-risk group and low-risk group in patients with locally advanced disease (P < 0.05). The ROC curve demonstrated that INRS had a similar predictive value for long-term survival in NPC patients compared to TNM staging and serum EBV-DNA levels. Pretreatment ALB, M, and SIRI are independent prognostic factors for long-term survival in patients with NPC. INRS constructed based on these three factors can serve as a long-term prognostic indicator for NPC.

Prognostic nutritional index (PNI) correlates with survival in head and neck cancer patients more precisely than other nutritional markers - real world data.

The survival benefit with higher body mass index (BMI) of patients suffering from head and neck squamous cell carcinoma (HNSCC) is documented as BMI paradox. As the early re-nourishment of high-risk patients determine survival, we searched for a nutritional status marker suitable for everyday screening. Grouping patients based on the 8th Edition of TNM Classification, we investigated for the first time the candidate nutritional status markers among TNM8 subgroups, including the newly introduced p16 positive oropharyngeal squamous cell cancer (OPSCC) patients. We conducted a retrospective cohort study enrolling 661 patients and collecting anthropometric indices, laboratory parameters, clinical scores, nutritional risk scores. To discover the best one for screening survival analyses and correlation tests were executed. By performing univariate Cox regression, we found three nutritional markers significantly correlating with overall survival (OS) and cancer specific survival (CSS): BMI at diagnosis, percent of weight loss over six months and prognostic nutritional index (PNI). The latter proved to be independent of tumor stage. p16 negative OPSCC patient's OS and CSS did not correlate with BMI, but it did correlate with PNI and percent of weight loss. BMI was the only marker correlating with OS, only in stage 4 hypopharyngeal cancer patients. All three markers significantly correlated with survival among p16 positive oropharyngeal and glottic cancer patients. We found BMI, percent of weight loss and PNI good candidate markers for malnutrition. PNI proved to be superior in every aspect, enabling the treating physicians to discover high-risk patients in need of aggressive re-nourishment. The survival of supraglottic laryngeal squamous cancer patients seemed to be independent of these nutritional status markers, which observation should be a subject of further investigations.

Evaluation of postoperative results after a presurgical optimisation programme

BackgroundPresurgical optimisation programmes decrease the risk of postoperative complications, reduce hospital stays and speed up patient recovery. They usually involve a multidisciplinary team addressing physical, nutritional and psychosocial issues. The objective of this study was to assess the results of implementing a presurgical optimisation programme led by a liaison nurse in patients undergoing major surgery in a primary general hospital.MethodsAn observational, retrospective, descriptive, cross-sectional, comparative study based on the revision of patients’ health records undergoing major surgery between January 2019 and December 2022. Patients entering the presurgical optimisation programme (intervention group) were compared with patients receiving usual medical care (control group). The presurgical optimisation programme consisted of oral nutritional supplementation, physical exercise, strengthening of lung capacity and psychological and emotional support. Frequency (%) of surgery complications and use of healthcare resources (duration of hospitalisation, time spent in the intensive care unit (ICU), and readmission) at day 30 were recorded. Descriptive statistics were applied.ResultsTwo hundred eleven patients (58.5% men, mean age: 65.76 years (SD 11.5), 75.2%. non-smokers; mean body mass index (BMI): 28.32 (SD 5.38); mean Nutritional Risk Score (NRS) 3.71 (SD 1.35; oncology diagnosis: 88.6%) were included: 135 in the intervention group, and 76 in the control group. The average duration of the presurgical optimisation programme was 20 days (SD 5). Frequency of postoperative complications was 25% (n = 33) in the intervention group and 52.6% (n = 40) in the control group (p < 0.001) [odds ratio (OR) = 3.4; 95% confidence interval (CI) (1.8; 6.2)]. 14.5% (n = 19) of patients in the intervention group and 34.2% (n = 26) in the control group had remote postoperative complications [OR = 3.1; 95% CI (1.6; 6.2)]. Patients in the intervention group spent fewer days in the hospital [mean 8.34 (SD 6.70) vs 11.63 (SD 10.63)], and there were fewer readmissions at 30 days (7.6% vs 19.7%) compared with the control group.ConclusionsA presurgical optimisation programme led by a liaison nurse decreases the rate of immediate and late surgical complications and reduces hospital stays and readmissions in patients undergoing major surgery.

Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis.

BACKGROUND Cardiac arrest (CA) is a global public health challenge. This study explored the predictors of mortality and their interactions utilizing machine learning algorithms and their related mortality odds among patients following CA. MATERIAL AND METHODS The study retrospectively investigated 161 medical records of CA patients admitted to the Intensive Care Unit (ICU). The random forest classifier algorithm was used to assess the parameters of mortality. The best classification trees were chosen from a set of 100 trees proposed by the algorithm. Conditional mortality odds were investigated with the use of logistic regression models featuring interactions between variables. RESULTS In the logistic regression model, male sex was associated with 5.68-fold higher mortality odds. The mortality odds among the asystole/pulseless electrical activity (PEA) patients were modulated by body mass index (BMI) and among ventricular fibrillation/pulseless ventricular tachycardia (VF/pVT) patients were by serum albumin concentration (decrease by 2.85-fold with 1 g/dl increase). Procalcitonin (PCT) concentration, age, high-sensitivity C-reactive protein (hsCRP), albumin, and potassium were the most influential parameters for mortality prediction with the use of the random forest classifier. Nutritional status-associated parameters (serum albumin concentration, BMI, and Nutritional Risk Score 2002 [NRS-2002]) may be useful in predicting mortality in patients with CA, especially in patients with PCT >0.17 ng/ml, as showed by the decision tree chosen from the random forest classifier based on goodness of fit (AUC score). CONCLUSIONS Mortality in patients following CA is modulated by many co-existing factors. The conclusions refer to sets of conditions rather than universal truths. For individual factors, the 5 most important classifiers of mortality (in descending order of importance) were PCT, age, hsCRP, albumin, and potassium.

Association of body composition indicators with colorectal cancer: a hospital-based case-control study

PurposeColorectal cancer (CRC) is a common malignancy that affects adults worldwide, causing a high disease burden. Few studies have examined the relationship between body composition (BC) measures and the prevalence of CRC. Our purpose was to investigate the relationship between pertinent BC indicators and CRC.MethodsBioelectrical impedance analysis, laboratory test results, face-to-face questionnaire investigation, and nutritional risk assessment (Nutritional Risk Screening 2002 and Patient-Generated Subjective Global Assessment) were used in this case-control study. Bioelectrical impedance analysis in the case group was performed prior to antitumor therapy/surgery.ResultsFrom June 2018 to January 2019, a total of 303 cases and 286 controls were included. The results showed that low body fat percentage (BFP) and high visceral adiposity index (VAI) groups had a higher risk of developing CRC in comparison to the normal BFP and normal VAI groups. The risk of CRC decreased with the increase of BFP. The group with a normal BC had a lower risk of developing CRC compared to those with a greater VAI and a lower BFP, as indicated by the results of the pairwise and total combinations of VAI, fat-free mass index (FFMI), and BFP. Additionally, FFMI and VAI had positive correlations with prealbumin, serum albumin, and nutritional risk scores.ConclusionLow BFP and high VAI are associated with higher CRC risk. FFMI and VAI are positively correlated with prealbumin, serum albumin, and nutritional risk scores in CRC patients.

Social factors associated with changes in nutrition risk scores measured using SCREEN-8: data from the Canadian Longitudinal Study on Aging.

Purpose: To examine the social network factors associated with changes in nutrition risk scores, measured by SCREEN-8, over three years, in community-dwelling Canadians aged 45 years and older, using data from the Canadian Longitudinal Study on Aging (CLSA).Methods: Change in SCREEN-8 scores between the baseline and first follow-up waves of the CLSA was calculated by subtracting SCREEN-8 scores at follow-up from baseline scores. Multivariable linear regression was used to examine the factors associated with change in SCREEN-8 score.Results: The mean SCREEN-8 score at baseline was 38.7 (SD = 6.4), and the mean SCREEN-8 score at follow-up was 37.9 (SD = 6.6). The mean change in SCREEN-8 score was -0.90 (SD = 5.99). Higher levels of social participation (participation in community activities) were associated with increases in SCREEN-8 scores between baseline and follow-up, three years later.Conclusions: Dietitians should be aware that individuals with low levels of social participation may be at risk for having their nutritional status decrease over time and consideration should be given to screening them proactively for nutrition risk. Dietitians can develop and support programs aimed at combining food with social participation.

Impact of a multidisciplinary collaborative nutritional treatment model in patients who are critically ill with neurological disorders: A randomized controlled trial.

Malnutrition is a widespread problem in critically ill patients with neurological disorders. The purpose of this study is to investigate the effect of a multidisciplinary collaborative nutritional treatment mode based on a standardized unit for nutritional support on the outcome metrics in patients with neurological disorders who are critically ill. We enrolled 84 participants who were hospitalized in the intensive care unit (ICU) of Yancheng No. 1 People's Hospital for neurological disorders between June 2018 and December 2021. The participants were randomly assigned to the control group and the test group. The control group received traditional nutritional support, while the test group was treated with a multidisciplinary collaborative nutritional treatment mode based on a standardized unit for nutritional support. We collected the general information, feeding tolerance (FT), nutritional risk score, and laboratory indicators before intervention, after intervention for one week, and after intervention for 2 weeks, and other data of the participants. After the intervention, the test group scored significantly lower than the control group in the incidence of gastroparesis and diarrhea, as well as the NUTRIC score, with statistically significant differences (P< 0.001). The prealbumin levels in the test group increased progressively prior to intervention, after intervention for one week, and after intervention for two weeks. Compared to the control group, the test group had higher prealbumin levels prior to intervention, after intervention for one week, and after intervention for two weeks, with statistically significant differences (P< 0.001). We developed a multidisciplinary collaborative nutritional treatment model based on a standard unit for nutritional support. This model can improve neural function, FT, and pertinent outcome indicators and is generally applicable.

Malnutrition Screening with Nutritional Risk Screening 2002 prior to Assessment as Part of GLIM Criteria in Patients Undergoing Major Abdominal Surgery for Gastrointestinal Cancer

Introduction: For diagnosing malnutrition as an important modifiable risk factor in surgical cancer patients, GLIM criteria offer a standardised diagnostic pathway. Before assessing malnutrition, it is suggested to screen for malnutrition with an implemented screening tool, i.e., the NRS-2002. Validated data regarding the applied screening tool and its relevance for predicting outcome parameters in surgical patients is sparse. Methods: 260 patients undergoing major abdominal surgery for cancer were retrospectively analysed. Between January 2017 and December 2019, patients were prospectively screened for malnutrition with the Nutritional Risk Score 2002 (NRS). Irrespective of their screening result malnutrition was assessed with GLIM criteria using CT scan at lumbar level 3 for measuring skeletal muscle mass (GLIM MMCT). Patients with negative screening results (NRS ≤2) were analysed regarding their malnutrition assessment and outcome parameters. Results: Thirty four of 67 patients with NRS ≤2, posing no risk for malnutrition, were diagnosed malnourished according to GLIM MMCT (n = 34, 50.7%). 19 patients (55.9%) with NRS ≤2 and malnutrition according to GLIM had at least one complication, 12 patients (35.3%) had a severe complication (Clavien-Dindo grade ≥ 3a), in 26.5% re-laparotomy was necessary, readmission within 1 month in 20.6% of patients, and length of hospital stay was 18.76 ± 12.66, which was in total worse in outcome compared to the whole study group (n = 260). Patients with NRS ≤2 but diagnosed malnourished by GLIM were at significant higher risk to develop a severe complication (OR 2.256, 95% CI: 1.038–4.9095, p = 0.036) compared to patients with NRS ≤2 but not being diagnosed malnourished. The risk for overall complications was significantly increased in patients with malnutrition diagnosed by the GLIM criteria using MMCT (OR 2.028, 95% CI: 1.188–3.463, p = 0.009). Patients screened at risk with NRS ≥3 and diagnosed malnourished by GLIM were also at significant higher risk for developing complications (OR 1.728, 95% CI: 1.054–2.832, p = 0.029). Conclusion: GLIM MMCT is suitable for diagnosing malnutrition and estimating postoperative risk in gastrointestinal cancer patients. Nutritional assessment only in patients with NRS >2 may bear the risk to miss malnourished patients with high risk for poor clinical outcome. In every patient undergoing major cancer surgery, regular assessment of nutritional status regardless of screening result should be performed exploiting CT body composition analysis.

1878 Sarcopenia screening in older community-dwelling adults: findings from Southampton Longitudinal Study of Ageing (SaLSA)

Abstract Introduction The SARC-F questionnaire can be rapidly implemented by clinicians to identify patients with probable sarcopenia. A score ≥4 is predictive of sarcopenia and poor outcome. We sought to identify the prevalence and demographic correlates of probable sarcopenia (SARC-F score ≥4) in community-dwelling older adults. Methods 480 participants (219 men, 261 women) identified from Primary Care completed a questionnaire ascertaining demographic, lifestyle factors, comorbidities, nutrition risk score (DETERMINE) and SARC-F score. Participant characteristics in relation to probable sarcopenia were examined using sex-stratified logistic regression. Age was included as a covariate. Results The median (lower quartile, upper quartile) age was 79.8 (76.9, 83.5) years. 12.8% of men and 23% of women had probable sarcopenia. Self-reported walking speed strongly associated with probable sarcopenia (men: odds ratio (OR) 10.39 (95% CI: 4.55, 23.72), p&amp;lt;0.001; women: 11.42 (5.98, 21.80), p&amp;lt;0.001 per lower band). Older age was associated with probable sarcopenia in both sexes (p=0.01) as was higher DETERMINE score (men: 1.30 (1.12, 1.51), p=0.001; women: 1.32 (1.17, 1.50), p&amp;lt;0.001 per unit increase). Among men, being married or in a civil partnership or cohabiting was protective against probable sarcopenia (0.39 (0.17, 0.89), p=0.03) as was reporting drinking any alcohol (0.34 (0.13, 0.92), p=0.03) while in women generally similar relationships were seen though these were weaker. Higher BMI (1.14 (1.07, 1.22), p&amp;lt;0.001 per unit increase) and presence of comorbidities (1.61 (1.34, 1.94), p&amp;lt;0.001 per extra medical condition) were also associated with probable sarcopenia in women. All associations were robust after adjustment for age. Conclusions Probable sarcopenia (SARC-F score ≥4) was common in older adults living in their own homes. As expected, self-reported walking speed was highly predictive of probable sarcopenia. In addition to advancing age and malnutrition, socio-demographic factors were also important. Identifying these factors in clinical practice should trigger sarcopenia screening in older adults.

Assessment of Nutritional Risk Scores (the Nutritional Risk Screening 2002 and Modified Nutrition Risk in Critically Ill Scores) as Predictors of Mortality in Critically Ill Patients on Extracorporeal Membrane Oxygenation.

Nutritional risk is associated with intensive care unit (ICU) stay and mortality, the Nutritional Risk Screening 2002 (NRS 2002) and the modified Nutritional Risk in the Critically Ill (mNUTRIC) score are assessment instruments and useful in predicting the risk regarding mortality in ICU patients. Our aim was to assess the effects of mNUTRIC and NRS 2002 on mortality in patients on extracorporeal membrane oxygenation (ECMO). A retrospective cohort study was performed and 78 patients were included for final analysis. In the current study, the NRS 2002 and the mNUTRIC score within 24 hours before starting ECMO were applied to assess patients' nutritional status on ECMO and explore the relationship between nutritional status and patient outcomes. This study suggests that both mNUTRIC and NRS 2002 scores were found to be significant independent risk and prognostic factors for in-hospital and 90 day morality among ECMO patients based on multivariable logistic regression analysis ( p < 0.05), with those in the high-risk group having higher in-hospital and 90 day mortality rates than those identified as being at low risk ( p < 0.001). In comparison to the NRS 2002 score, the mNUTRIC score demonstrated a superior prognostic ability in ECMO patients.

A novel nomogram integrating body composition and inflammatory-nutritional markers for predicting postoperative complications in patients with adhesive small bowel obstruction.

Postoperative complications in adhesive small bowel obstruction (ASBO) significantly escalate healthcare costs and prolong hospital stays. This study endeavors to construct a nomogram that synergizes computed tomography (CT) body composition data with inflammatory-nutritional markers to forecast postoperative complications in ASBO. The study's internal cohort consisted of 190 ASBO patients recruited from October 2017 to November 2021, subsequently partitioned into training (n = 133) and internal validation (n = 57) groups at a 7:3 ratio. An additional external cohort comprised 52 patients. Body composition assessments were conducted at the third lumbar vertebral level utilizing CT images. Baseline characteristics alongside systemic inflammatory responses were meticulously documented. Through univariable and multivariable regression analyses, risk factors pertinent to postoperative complications were identified, culminating in the creation of a predictive nomogram. The nomogram's precision was appraised using the concordance index (C-index) and the area under the receiver operating characteristic (ROC) curve. Postoperative complications were observed in 65 (48.87%), 26 (45.61%), and 22 (42.31%) patients across the three cohorts, respectively. Multivariate analysis revealed that nutrition risk score (NRS), intestinal strangulation, skeletal muscle index (SMI), subcutaneous fat index (SFI), neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR) were independently predictive of postoperative complications. These preoperative indicators were integral to the nomogram's formulation. The model, amalgamating body composition and inflammatory-nutritional indices, demonstrated superior performance: the internal training set exhibited a 0.878 AUC (95% CI, 0.802-0.954), 0.755 accuracy, and 0.625 sensitivity; the internal validation set displayed a 0.831 AUC (95% CI, 0.675-0.986), 0.818 accuracy, and 0.812 sensitivity. In the external cohort, the model yielded an AUC of 0.886 (95% CI, 0.799-0.974), 0.808 accuracy, and 0.909 sensitivity. Calibration curves affirmed a strong concordance between predicted outcomes and actual events. Decision curve analysis substantiated that the model could confer benefits on patients with ASBO. A rigorously developed and validated nomogram that incorporates body composition and inflammatory-nutritional indices proves to be a valuable tool for anticipating postoperative complications in ASBO patients, thus facilitating enhanced clinical decision-making.

Association between nutritional risk status and both diaphragmatic dysfunction and diaphragm atrophy in medical ıntensive care unit patients.

Aim: critical illness often leads to malnutrition and diaphragmatic dysfunction (DD), common in intensive care units (ICU). Ultrasonography (US) is a potent tool for detecting DD. This study examines the connection between malnutrition risk and DD in ICU patients using ultrasonographic diaphragm measurements in medical ICU patients. Methods: we assessed nutritional risk using risk screening tools and mid-upper arm circumference measurements (MUAC). Diaphragm atrophy (DA) and DD were evaluated by measuring diaphragmatic excursion (DE), thickness, and thickening fraction (TF) by US. We then compared these diaphragmatic measurements in patients based on their nutritional risk scores. Results: of the fifty patients studied, 54 % to 78 % were at risk of malnutrition, 28 % exhibited diaphragm atrophy (DA), and 24 % showed DD upon ICU admission. Malnutrition risk diagnosed by all nutritional risk screening tools was significantly more frequent in patients with DD, while diagnosed by MUAC was considerably higher in patients with DA. A total of 16 patients (32 %) died during their ICU stay, with DD, DA, and malnutrition risks (as identified by the mNUTRIC Score) being more prevalent among non-survivors (p < 0.05). Malnutrition risk (as determined by the mNUTRIC Score) was an independent risk factor for DD [OR (95 % CI): 6.6 (1.3-34), p = 0.03]. Conclusion: malnutrition risk may be significantly associated with DD and DA in medical ICU patients upon ICU admission.

The predictive value of the CONUT score combined with the A2DS2 scale for post-ischemic stroke infection

Background/Aim. Stroke-associated infection is the most common and most serious complication of ischemic stroke (IS), which is the most important cause of death and disability in humans. The aim of the study was to determine the predictive value of nutrition risk score ? Controlling Nutritional Status (CONUT) combined with Age, Atrial Fibrillation, Dysphagia, Sex, Stroke Severity (A2DS2) scale for post-IS infection (PISI) in IS patients. Methods. This retrospective study analyzed the clinical data of 333 IS patients admitted to the Emergency Department of West China Hospital of Sichuan University from December 2017 to April 2019. Patients were divided into the NoPISI group (244 cases) and the PISI group (89 cases) based on whether they had a PISI. Multivariate logistic regression analysis was used to identify independent risk factors for PISI. Receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of different variables in predicting the outcome. Results. Multivariable logistic regression analysis showed that the CONUT score [odds ratio (OR) = 1.321, 95% confidence interval (CI): 1.040?1.677, p &lt; 0.05] and age (OR = 1.026, 95%CI: 1.004?1.048, p &lt; 0.05) were independent influencing factors for PISI. With the increase of the CONUT score, the proportion of PISI increased. Area under the ROC curve for predicting PISI was 0.651, 0.696, and 0.725 for CONUT, A2DS2, and CONUT plus A2DS2, respectively. Conclusion. Combining the CONUT score and A2DS2 scale enhances their predictability of PISI, thereby serving as a valuable tool for early risk assessment and clinical intervention.

The Nomogram Model and Factors for the Postoperative Mortality of Elderly Patients with Femoral Neck Fracture Undergoing Artificial Hip Arthroplasty: A Single-Institution 6-Year Experience.

Artificial hip arthroplasty (AHA) is widely accepted in elderly patients with femoral neck fractures, but it is associated with high risk of death and various postoperative complications due to old age and accompanying chronic diseases. Therefore, this study aimed to explore the risk factors for death in elderly patients with femoral neck fractures after AHA and to establish a nomogram risk prediction model, which is expected to reveal high-risk patients and improve the postoperative quality of life and survival rate of patients. Elderly patients who underwent AHA for femoral neck fractures in our hospital from September 2014 to May 2021were retrospectively analyzed. These patients were divided into a survival group and a death group according to their clinical outcomes. The following clinical data were recorded for the patients in the two groups: sex, age, underlying diseases, smoking and drinking history, preoperative nutritional risk score (NRS) and American Society of Anesthesiologists (ASA) score, as well as relevant indicators about the operation. These data were subject to univariate analysis and then logistic analysis to determine the risk factors of death. Subsequently, a nomogram risk prediction model was established and further validated with the receiver operating characteristic curve (ROC) and the Hosmer-Lemeshow test. Finally, the effects of predictive risk factors were analyzed using the Kaplan-Meier survival curve. Follow-up was completed by 260 patients, including 206 patients in the survival group and 54 patients in the death group; the overall death rate was 20.77%, and the follow-up time, age, postoperative 1, 3 and 5-year death rates were 3.47 ± 1.93 years, 75.32 ± 9.12 years, 5.77%, 12.51%, and 25.61%, respectively. The top three causes of death in 54 patients were respiratory disease, cerebrocardiovascular disease, and digestive disease, respectively. The logistic analysis indicated that elderly patients with femoral neck fractures, the risk factors for death after AHA were age ≥ 80 years, preoperative NRS ≥ 4, HB ≤ 90 g/L, CR ≥ 110 umol/L, and ASA score ≥ 3, as well as postoperative albumin ≤ 35 g/L, the nomogram was established, and then its predictive performance was successfully validated using the ROC curve (AUC = 0.814, 95% confidence interval = 0.749-0.879) and the Hosmer-Lemeshow test (p = 0.840). Furthermore, Kaplan-Meier survival curve analysis revealed that the abovementioned six indicators were correlated with the post-AHA survival time of elderly patients with femoral neck fractures (pLog Rank < 0.05). Old age, preoperatively high NRS and ASA score, anemia, poor renal function, and postoperative hypoproteinemia are the major risk factors for death in elderly patients with femoral neck fractures after AHA; they are also associated with postoperative survival. Early identification and effective interventions for optimization of modifiable risk factors are recommended to improve the postoperative quality of life and survival rates.

Correlation between plasma lycopene levels in patients with laryngeal carcinoma and postoperative adverse complications of chemoradiotherapy and nutritional risks.

In this study, we analyzed the correlation between the preoperative plasma lycopene levels, postoperative adverse complications of chemoradiotherapy, and nutritional risk scores in patients with laryngeal carcinoma. A total of 114 patients with laryngeal carcinoma and 114 healthy respondents were enrolled in this study. The patients with laryngeal carcinoma were divided into two groups: 62 patients with laryngeal carcinoma, with an NRS2002 score higher than 3 points and whose diet contained lycopene, were enrolled in the observation group, and 52 patients with laryngeal carcinoma during the corresponding time period, whose diet did not contain lycopene, were enrolled in the reference group. The immune indexes (CD4 + , CD8 + , IGA, IGM, IGG), nutritional indexes (albumin, prealbumin, transferrin), and postoperative adverse complications of chemo-radiotherapy in the two groups were recorded. The lycopene levels were lower in patients with advanced tumor stage (III and IV). The diagnosis threshold of the plasma lycopene level for laryngeal carcinoma was 0.503μmol/L. The area under the curve for plasma lycopene levels in cancer diagnosis was 0.96, with a clinical specificity of 0.943 and a sensitivity of 0.859. There was a significant negative correlation between the plasma lycopene levels and Nutrition Risk Screening (NRS) 2002 score (R2 = - 0.523, P < 0.001), which was related to the increase in NRS-2002 scores and nutritional hazards in patients with laryngeal carcinoma. The observation group showed a significant increase in nutritional and immune indices, as compared to the reference group, as well as a lower incidence of severe and serious adverse reactions to chemo-radiotherapy. Lycopene supplementation, tumor stage, NRS-2002 scores, nutritional and immune indices were all significant predictors of postoperative severe and serious adverse complications of chemoradiotherapy. Progression of laryngeal carcinoma and severity of the side effects of the adverse complications of chemo-radiotherapy are related to the levels of lycopene.

NUTRITIONAL STATUS AS A RISK FACTOR FOR DEPRESSION AMONG OLDER ADULTS RECEIVING COMMUNITY-BASED AGING SERVICES

Abstract Nutritional status is a significant determinant of overall health and well-being among older adults and is linked to adverse mental health outcomes, such as depression. This study examined nutritional status as a risk factor for depression among 4,469 older adults receiving home- and community-based services from agencies overseen by a five-county Area Agency on Aging in west central Florida. It was hypothesized that older adults with a higher nutritional score (i.e., increased risk of malnourishment) would be more likely to have elevated depressive symptoms compared to those with lower nutritional risk. The cross-sectional study used secondary data from the AAA, including demographic and social variables, a 20-point nutritional risk score, and the Patient Health Questionnaire-9 (PHQ-9; not depressed = 0-9, depressed = &amp;gt;10) from clients in the AAA planning and service area. In logistic regression, the most significant predictor of depression was the client’s nutrition score (OR= 1.22, p &amp;lt; 0.0001). This OR suggests that, for every 1-point increase of the nutrition score, the odds of being depressed increases by 22%. The findings suggest that older adults receiving aging services with worse nutritional status are at increased risk of depression, consistent with other studies. The findings suggest that programs focused on improving nutritional status among older adults may reduce depressive symptoms may improve and may potentially improve long-term physical and mental health outcomes and decrease healthcare burden.