Nutritional Index Research Articles

Cholinesterase as a predictor of skeletal muscle loss after gastrectomy for gastric cancer.

Cholinesterase is a classical nutritional and inflammatory marker. The aim of the present study was to evaluate the value of cholinesterase as a predictive marker for postoperative skeletal muscle loss after gastrectomy for gastric cancer. The study comprised 68 patients who had undergone gastrectomy for gastric cancer. Skeletal muscle mass was evaluated using skeletal mass index, and major skeletal muscle loss was defined as less than or equal to the median change rate (1-year postoperative/preoperative) of skeletal mass index in all patients. We explored the relationship between postoperative major skeletal muscle loss and disease-free survival and overall survival. Then we investigated the relationship between change rate of skeletal muscle index and serum cholinesterase levels after gastrectomy. The median value of change rate of skeletal mass index was 0.93. Postoperative major skeletal muscle loss was significantly associated with disease-free survival after gastrectomy (P=0.003). Although major skeletal muscle loss had worse overall survival, it was not significant (P=0.058). The change rate of skeletal mass index and cholinesterase had a stronger positive correlation compared with other nutritional indices according to Spearman's rank correlation coefficient (r=0.438, P≤0.001). Evaluation of serum cholinesterase levels may be valuable for predicting postoperative skeletal muscle loss after gastrectomy, suggesting the importance of cholinesterase in postoperative nutritional management of patients with gastric cancer.

Correlations between soluble ST2 concentration and the nutritional status in patients with heart failure with reduced ejection fraction - cross-sectional study.

Heart failure (HF) is a global problem that stimulates research on markers associated with the diagnosis and course of the disease. Soluble suppression of tumorigenicity-2 (sST2) is a receptor for interleukin-33 and is associated with increased mortality rates in HF patients. Malnutrition in HF is also connected with inflammation and is associated with worse prognosis. The present study aimed to evaluate the relationship between sST2 concentration and the nutritional status of patients with HF with reduced ejection fraction (HFrEF). 138 patients with HFrEF were enrolled in this cross-sectional study. Nutritional status was assessed using Geriatric Nutritional Risk Index (GNRI) and Controlling Nutritional Status (CONUT). The mean age was 53.6 ± 10.8 years. In the group with sST2 > 32.9 ng/mL, the GNRI score was higher and the associated risk of malnutrition was more common (29% vs. 12%; p = 0.011). Coherently in the group with sST2 > 32.9 ng/mL the median CONUT score was worse (2 [IQR 1-3] vs. 1 [IQR 0-2]; p = 0.0016) and the risk of malnutrition defined by this tool was also more prevalent (p = 0.0079). This relationship was independent of the concentration of natriuretic peptides, age and sex. According to available research, this research is the first study showing that sST2 concentration is related with nutritional status in HFrEF patients. sST2 may help to evaluate the necessity for nutritional intervention in HFrEF patients.

Health Outcome Comparison Based on Dietary Inflammatory Levels among Sample of Korean Elderly

The aim of this study was to investigate the effect of a senior-friendly diet based on the dietary inflammatory index (DII) on the nutritional status and health indicators of older people. A total of 256 participants were classified into tertiles based on their DII values and split into intervention (n = 201) and control (n = 55) groups. The intervention group was provided with a senior-friendly diet, and the control group was allowed to eat their usual diet. Before and after the trial, anthropometric measurements, blood analyses, and questionnaires were completed for both groups. The mean age of the participants was 82.49 years, and 66.4% were female. On average, participants had 2.5 medical conditions, with a notable prevalence of cardiovascular disease. Following the intervention, the energy, carbohydrate, protein, and fat intakes significantly increased in the intervention group compared to pre-intervention levels. Tertile 3 exhibited substantial improvements in total nutrition score, NQ-E balance, and DII total score, as well as in triglycerides and blood glucose, attributed to this dietary intervention compared to other groups. In comparison with Tertile 1, nutrient intake and nutritional status in Tertile 3 were closely associated with significant influencing factors of the dietary intervention. For the group with the worst DII (Tertile 3), this dietary intervention greatly improved nutritional status, nutrient intake, and clinical indicators; thus, this senior-friendly diet appears to be beneficial for elderly people with nutritional vulnerabilities.

Baseline 25(OH)D level is a prognostic indicator for bariatric surgery readmission: a matched retrospective cohort study

IntroductionManaging postsurgical complications is crucial in optimizing the outcomes of bariatric surgery, for which preoperative nutritional assessment is essential. In this study, we aimed to evaluate and validate the efficacy of vitamin D levels as an immunonutritional biomarker for bariatric surgery prognosis.MethodsThis matched retrospective cohort study included adult patients who underwent bariatric surgery at a tertiary medical center in China between July 2021 and June 2022. Patients with insufficient and sufficient 25(OH)D (< 30 ng/mL) were matched in a 1:1 ratio. Follow-up records of readmission at 3 months, 6 months, and 1 year were obtained to identify prognostic indicators.ResultsA matched cohort of 452 patients with a mean age of 37.14 ± 9.25 years and involving 69.47% females was enrolled. Among them, 94.25 and 5.75% underwent sleeve gastrectomy and gastric bypass, respectively. Overall, 25 patients (5.54%) were readmitted during the 1-year follow-up. The prognostic nutritional index and controlling nutritional status scores calculated from inflammatory factors did not efficiently detect malnourishment. A low 25(OH)D level (3.58 [95% CI, 1.16–11.03]) and surgery season in summer or autumn (2.68 [95% CI, 1.05–6.83]) increased the risk of 1-year readmission in both the training and validation cohorts. The area under the receiver operating characteristic curve was 0.747 (95% CI, 0.640–0.855), with a positive clinical benefit in the decision curve analyses. The relationship between 25(OH)D and 6-month readmission was U-shaped.ConclusionSerum 25(OH)D levels have prognostic significance in bariatric surgery readmission. Hence, preferable 25(OH)D levels are recommended for patients undergoing bariatric surgery.

Prevalence and prognostic significance of malnutrition in patients with secondary mitral regurgitation undergoing transcatheter edge-to-edge repair.

Malnutrition is associated with poor prognosis in several cardiovascular diseases; however, its role in patients with secondary mitral regurgitation (SMR) is poorly known. To evaluate the impact of nutritional status, assessed using different scores, on clinical outcomes in patients with SMR undergoing transcatheter edge-to-edge repair (TEER) in a real-world setting. A total of 658 patients with SMR and complete nutritional data were identified from the MIVNUT registry. Nutritional status has been assessed using controlling nutritional status index (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) scores. Outcomes of interest were all-cause mortality and all-cause mortality or heart failure (HF) hospitalization. Any malnutrition grade was observed in 79.4%, 16.7%, and 47.9% of patients by using CONUT, PNI, and GNRI, respectively, while moderate to severe malnutrition was noted in 24.7%, 16.7%, and 25.6% of patients, respectively. At a median follow-up of 2.2 years, 212 patients (32.2%) died. Moderate-severe malnutrition was associated with a higher rate of all-cause mortality (HR: 2.46 [95% CI: 1.69-3.58], HR: 2.18 [95% CI: 1.46-3.26], HR: 1.97 [95% CI: 1.41-2.74] for CONUT, PNI, and GNRI scores, respectively). The combined secondary endpoint of all-cause mortality and HF rehospitalization occurred in 306 patients (46.5%). Patients with moderate-severe malnutrition had a higher risk of the composite endpoint (HR: 1.56 [95% CI: 1.20-2.28], HR: 1.55 [95% CI: 1.01-2.19], HR: 1.36 [95% CI: 1.02-1.80] for CONUT, PNI, and GNRI scores, respectively). After adjustment for multiple confounders, moderate-severe malnutrition remained independently associated with clinical outcomes. Moderate-severe malnutrition was common in patients with SMR undergoing TEER. It was independently associated with poor prognosis regardless of the different scores used.

Analysis of the Effects of Population Structure and Environmental Factors on Rice Nitrogen Nutrition Index and Yield Based on Machine Learning

With the development of rice varieties and mechanized planting technology, reliable and efficient nitrogen and planting density status diagnosis and recommendation methods have become critical to the success of precise nitrogen and planting density management in crops. In this study, we combined population structure, plant shape characteristics, environmental weather conditions, and management information data using a machine learning model to simulate the responses of the yield and nitrogen nutrition index and developed an ensemble learning model-based nitrogen and planting density recommendation strategy for different varieties of rice types. In the third stage, the NNI and yield prediction effect of the ensemble learning model was more significantly improved than that of the other two stages. The scenario analysis results show that the optimal yields and nitrogen nutrition indices were obtained with a density and nitrogen amount of 100.1 × 104 plant/ha and 161.05 kg·ha−1 for the large-spike type variety of rice, 75.08 × 104 plant/ha and 159.52 kg·ha−1 for the intermediate type variety of rice, and 75.08 × 104 plant/ha and 133.47 kg·ha−1 for the panicle number type variety of rice, respectively. These results provide a scientific basis for the nitrogen application and planting density for a high yield and nitrogen nutrition index of rice in northeast China.

Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis

The nitrogen nutrition index (NNI) has been extensively applied for the diagnosis of crop nitrogen status, providing insights into efficient nitrogen utilization and plant growth. In this study, we utilized a low-altitude unmanned aerial vehicle (UAV) platform, equipped with multispectral (MS), red–green–blue (RGB), and thermal infrared (TIR) cameras, to comprehensively capture wheat spectral information. The analysis of the relationship between NNI and relative yield revealed an initially linear relationship, which saturated for high NNI values. To enhance accuracy and minimize complexity, we employed a random forest (RF) – recursive feature elimination (RFE) method to select features as inputs for four machine learning (ML) models: back propagation neural network (BPNN), extreme learning machine (ELM), support vector regression (SVR), and Gaussian process regression (GPR). After feature selection, the prediction accuracies of single-sensor models were ranked as: MS > RGB > TIR. The R2 values for the four ML models were in the range of 0.54–0.75. Among multi-sensor combinations, the GPR with MS + RGB + TIR input features achieved the best results with R2 = 0.89 and RPD = 2.52. Further, the dataset was partitioned into six subsets based on location and cultivar variety to evaluate model transferability. The results showed that the transferability largely suffered during the bivariate conditions of different varieties at different locations; the transferability of the model was average improved by 11 % when GPR was combined with transfer component analysis (TCA). The accuracy and transferability of the NNI estimation models significantly improved, offering valuable guidance and methodological support for diagnosing the nitrogen nutrient status of wheat.

Clinical Significance of the Prognostic Nutritional Index in Predicting Delirium among Critically Ill Patients: A Retrospective Cohort Study

Delirium is a serious and complex problem facing critically ill patients. This retrospective study aimed to explore the association between prognostic nutrition index (PNI) and delirium in critically ill patients in the intensive care unit (ICU). This study was based on the Medical Information Mart Intensive Care IV (MIMIC IV) database. Patients over 18 years of age were enrolled. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and delirium. Tendency analysis, subgroups analysis, and restricted cubic spline (RCS) were selected to further certify the association. The receiver operating characteristic curve (ROC) was adopted to assess the predictability of PNI to delirium. Propensity score matching (PSM) was used to reduce the interference of confounders. A total of 3,105 patients participated in this study. As the grade of malnutrition increases, the incidence of delirium increases in all models. The odds ratios (OR) of delirium in the fully adjusted model were 1.00 (reference), 1.04 (0.80, 1.36), 1.53 (1.17, 1.99), and 1.93 (1.44, 2.59). Strong U-shaped curves were found with RCS analysis between delirium and PNI in the subgroups of patients over 60 years of age and patients with chronic obstructive pulmonary disease (COPD). After PSM, the ORs of delirium were 1.44 (1.16, 1.79) and 1.53 (1.22, 1.93), respectively, in the univariate and multivariate logistic regression models. PNI is negatively associated with the prevalence of delirium in critically ill adults in the ICU. PNI is an independent risk factor for the incidence of delirium in adults in the ICU.

A nomogram based on nutritional and inflammatory parameters to predict DMFS and identify beneficiaries of adjuvant chemotherapy in IVA-stage nasopharyngeal carcinoma

ObjectiveThis study aims to develop a nomogram integrating inflammation (NLR), Prognostic Nutritional Index (PNI), and EBV DNA (tumor burden) to achieve personalized treatment and prediction for stage IVA NPC. Furthermore, it endeavors to pinpoint specific subgroups that may derive significant benefits from S-1 adjuvant chemotherapy.MethodsA total of 834 patients diagnosed with stage IVA NPC were enrolled in this study and randomly allocated into training and validation cohorts. Multivariate Cox analyses were conducted to identify independent prognostic factors for constructing the nomogram. The predictive and clinical utility of the nomogram was assessed through measures including the AUC, calibration curve, DCA, and C-indexes. IPTW was employed to balance baseline characteristics across the population. Kaplan-Meier analysis and log-rank tests were utilized to evaluate the prognostic value.ResultsIn our study, we examined the clinical features of 557 individuals from the training cohort and 277 from the validation cohort. The median follow-up period was 50.1 and 49.7 months, respectively. For the overall cohort, the median follow-up duration was 53.8 months. The training and validation sets showed 3-year OS rates of 87.7% and 82.5%, respectively. Meanwhile, the 3-year DMFS rates were 95.9% and 84.3%, respectively. We created a nomogram that combined PNI, NRI, and EBV DNA, resulting in high prediction accuracy. Risk stratification demonstrated substantial variations in DMFS and OS between the high and low risk groups. Patients in the high-risk group benefited significantly from the IC + CCRT + S-1 treatment. In contrast, IC + CCRT demonstrated non-inferior 3-year DMFS and OS compared to IC + CCRT + S-1 in the low-risk population, indicating the possibility of reducing treatment intensity.ConclusionsIn conclusion, our nomogram integrating NLR, PNI, and EBV DNA offers precise prognostication for stage IVA NPC. S-1 adjuvant chemotherapy provides notable benefits for high-risk patients, while treatment intensity reduction may be feasible for low-risk individuals.

Geriatric nutritional risk index and controller nutritional status score before metastatic first-line chemotherapy predict survival in patients over 70 years of age with metastatic bladder cancer

IntroductionSeveral prognostic factors have been identified in patients with metastatic bladder cancer (BC). As it is known, older adult patients are prone to nutritional deficiency. The knowledge about nutrition and impact on survival in older patients with metastatic bladder cancer is missing. It is necessary to specifically examine this population. Because timely interventions can make a positive impact on this patients population. This retrospective study aimed to evaluate the prognostic effect of the Geriatric Nutritional Risk Index (GNRI), Controller Nutritional Status (CONUT) score and Prognostic Nutritional Index (PNI) before first-line chemotherapy in the metastatic stage in patients with metastatic bladder cancer over 70.Participants and methodsPatients over 70 with pathologically confirmed denovo metastatic or recurrent metastatic bladder cancer were included in the study. Patients with infections diagnosed at the time of diagnosis, autoimmune diseases or history of steroid use were excluded. Since our population consists of a specific age group with a specific cancer, we found a new cut-off value by performing ROC analysis to ensure optimal sensitivity and specificity in terms of progression. Low GNRI value was related with poor nutritional status. Low PNI value was related with poor nutritional status and high CONUT score was related with poor nutritional status. Factors predicting overall survival (OS) and Progression-Free Survival (PFS) were assessed using both univariate and multivariate Cox proportional hazards analyses.Results106 patients were included in the study and the average age was 75.5 years. In the GNRI-Low group, PFS was significantly shorter than that in the GNRI-High group [HR (95% CI) = 57.1 (12.8–255.5), (p < 0.001)]. Among those with a low-CONUT score, PFS was found to be longer than that in the high-CONUT group [HR (95% CI) = 1.7 (1.0–3.0), (p = 0.039)]. The median PFS of the PNI-Low group wasn’t significantly shorter than that of the PNI-High group [HR (95% CI) = 1.8 (0.5–6.2), (p = 0.359)].ConclusionOur study suggests that the GNRI and CONUT scores are useful for predicting survival in patients over 70 years of age with BC.

Geriatric nutritional risk index is associated with the occurrence of acute kidney injury in critically ill patients with acute heart failure

Background: During the acute heart failure (AHF), acute kidney injury (AKI) is highly prevalent in critically ill patients. The occurrence of the latter condition increases the risk of mortality in patients with acute heart failure. The current research on the relationship between nutritional risk and the occurrence of acute kidney injury in patients with acute heart failure is very limited. Methods: This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.1) database. We included adult patients with AHF who were admitted to the intensive care unit in the study. Results: A total of 1310 critically ill patients with acute heart failure were included. The AUC of geriatric nutritional risk index (GNRI) (0.694) is slightly superior to that of controlling nutritional status (CONUT) (0.656) and prognostic nutritional index (PNI) (0.669). The Log-rank test revealed a higher risk of acute kidney injury in patients with high nutritional risk (p < 0.001). Multivariate COX regression analysis indicated that a high GNRI (adjusted HR 0.62, p < 0.001) was associated with a reduced risk of AKI during hospitalization in AHF patients. The final subgroup analysis demonstrated no significant interaction of GNRI in all subgroups except for diabetes subgroup and ventilation subgroup (P for interaction: 0.057-0.785). Conclusion: Our study findings suggest a correlation between GNRI and the occurrence of acute kidney injury in patients hospitalized with acute heart failure.

Relation between nutritional status on clinical outcomes of critically ill patients: emphasizing nutritional screening tools in a prospective cohort investigation

BackgroundMalnutrition is a significant concern reported in adult critically ill patients, yet there is no gold standard to assess nutritional status in this population. This study examines the association between nutritional status and clinical outcomes in intensive care unit (ICU) patients using nutritional risk assessment tools and aims to look for the best tool.MethodIn a single-center prospective cohort study among 165 patients, the predictive performance of high or low malnutrition risk assessed by Nutritional Risk Screening (NRS), Modified Nutrition Risk in Critically Ill (m-NUTRIC), Mini-Nutritional-Assessment Short-Form (MNA-SF), Controlling Nutritional status (CONUT), and Prognostic Nutritional Index (PNI) were evaluated and compared for mortality, organ failure, length of hospitalization, and mechanical ventilation (MV).ResultsDifferent assessment tools showed various nutritional statuses. m-NUTRIC and NRS-2002 were found to be associated more strongly relative to other tools with mortality (RR = 1.72; 95% CI, 1.42–2.08) and (RR = 1.37; 95% CI, 1.08–1.72), organ failure (RR = 1.69; 95% CI, 1.44–1.96) and (RR = 1.22; 95% CI, 0.99–1.48), MV (RR = 1.46; 95% CI, 1.27–1.65) and (RR = 1.21; 95% CI, 1.04–1.39) respectively. There was no correlation between malnutrition levels assessed by mentioned tools except for NRS-2002 and length of hospitalization. In predicting mortality or illness severity, the cut points were different for some tools like NUTRIC-score and all assessed outcomes (3.5), MNA-SF and mortality (6.5), CONUT with mortality, and MV (6.5).ConclusionsA considerable proportion of patients admitted to the ICU are at high risk for malnutrition. Compared to other tools, m-NUTRIC and NRS-2002 proved superior in predicting clinical outcomes in critically ill patients. Other tools overestimated the risk of malnutrition in the ICU so couldn’t predict clinical outcomes correctly.

Production of Camellia oleifera Abel Seed Oil for Injection: Extraction, Analysis, Deacidification, Decolorization, and Deodorization

Camellia seed oil (CSO), as a nutrient-rich edible oil, is widely used in foods, cosmetics, and other fields. In this work, the extraction, deacidification, decolorization, and deodorization processes of CSO were respectively optimized for meeting injectable oil standards. The results showed that the CSO extraction rate reached the highest level of 94% at optimized conditions (ultrasonic time, 31.2 min; reaction pH, 9.2; and reaction time, 3.5 h). The physicochemical indexes of CSO and 10 other vegetable oils were evaluated by the principal component analysis method, and the overall scores of vegetable oils were ranked as camellia seed oil &gt; olive oil &gt; rice oil &gt; peanut oil &gt; sesame oil &gt; corn oil &gt; soybean oil &gt; sunflower oil &gt; rapeseed oil &gt; walnut oil &gt; flaxseed oil. The physicochemical indicators of CSO were the most ideal among the 11 vegetable oils, which means that CSO is suitable as an injectable oil. Through the optimized processes of the deacidification, decolorization, and deodorization, the CSO acid value was reduced to 0.0515 mg KOH/g, the decolorization rate reached a maximum of 93.86%, and the OD430 was 0.015, meeting the requirement (≤0.045 of OD430) of injectable oil. After the deodorization process, these parameters of the refractive index, acid value, saponification value, iodine value, absorbance, unsaponifiable, moisture and volatiles, fatty acid composition, and heavy metal limits all met the pharmacopoeia standards of injectable oil in many countries and regions. The possibility of CSO as an injectable oil was first verified through refining-process optimization and nutritional index analysis, providing an important technical reference for the high-value utilization of vegetable oil.

Reusing livestock farming wastewater for Tifton 85 irrigation: productivity, morphological, and bromatological indicators

The utilization of wastewater from livestock farming (WLF) represents a common agricultural practice, but the absence of research on its agronomic impacts hinders its sustainable implementation. This study assesses the reutilization of WLF combined with nitrogen fertilization on the morphological, bromatological, and productivity attributes of a Tifton 85 pasture during the winter season. The study involved the application of different types of water via sprinkler: (I) stream water; (II) mixture of WLF and stream water at a 1:1 ratio; and (III) undiluted WLF combined with mineral nitrogen fertilization (0 and 45 kg N ha-1) administered at the commencement of the regrowth period. Irrigation was applied on a weekly basis, totaling 2,440 m3 ha-1. At 106 days post-regrowth, parameters including forage productivity, height, leaf-stem ratio, leaf area index, nitrogen nutrition index, crude protein content, acid detergent fiber, neutral detergent fiber, and mineral matter content were determined. Mineral fertilization at the prescribed dosage (45 kg N ha-1) did not have any discernible impact on the parameters under investigation. On average, the reuse of WLF raised the productivity from 2.50 to 5.12 t ha-1 and the Crude Protein from 12.35% to 14.58% compared to stream water. The reuse of WLF demonstrated superior outcomes (p &lt; 0.01) in terms of pasture productivity, nutritional quality, and nitrogen accumulation compared to irrigation solely with stream water. The reuse of diluted WLF (1:1) without fertilization proved adequate to sustain Tifton 85 pastures during the winter season in the Brazilian Cerrado region. Keywords: Cynodon dactylon, forage, irrigated pasture.

Association between the geriatric nutritional risk index and clinical outcomes among peritoneal dialysis patients: A meta-analysis.

To identify the relationship between the geriatric nutritional risk index (GNRI) and clinical outcomes in patients receiving peritoneal dialysis (PD). The PubMed, EBASE, Web of Science and CNKI databases were searched for available studies up to December 25, 2023. The primary outcome was all-cause mortality, and the secondary outcomes included the incidence of PD dropout, major adverse cardiac and cerebrovascular events (MACCEs), technique failure and peritonitis. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to evaluate the predictive value of the GNRI for the occurrence of the above endpoints. Ten cohort studies with 3897 patients were included. The pooled results demonstrated that a lower GNRI was significantly associated with a greater incidence of all-cause mortality (HR = 0.71, 95% CI: 0.55-0.91; P = .007). In addition, a decreased GNRI predicted the occurrence of dropout from PD (HR = 0.971, 95% CI: 0.945-0.998, P = .034) and MACCE (HR = 0.95, 95% CI: 0.92-0.98, P = .001). However, no significant associations of the GNRI with technique failure (P = .167) or peritonitis (P = .96) were observed. A low GNRI is significantly associated with poor clinical outcomes and might serve as a novel and valuable prognostic indicator among PD patients.

Prognostic value of perioperative changes in the prognostic nutritional index in patients with surgically resected non-small cell lung cancer.

This single-institution retrospective cohort study was conducted to assess the prognostic significance of perioperative changes in the prognostic nutritional index (PNI) in patients who underwent surgery for non-small cell lung cancer (NSCLC). Clinicopathological data were collected from 441 patients who underwent lobectomy for NSCLC between 2010 and 2016.The PNI ratio (postoperative PNI/preoperative PNI) was used as an indicator of perioperative PNI changes. Prognostic differences were investigated based on PNI ratios. The optimal cut-off value of the PNI ratio for overall survival (OS) was set at 0.88 using a receiver operating characteristic curve. The PNI ratio was inversely related to a high smoking index, interstitial lung disease, and postoperative pulmonary complications. The 5-year OS rates for the high vs. low PNI ratio groups were 88.2% vs. 68.5%, respectively (hazard ratio [HR]: 3.04, 95% confidence interval [CI]: 1.90-4.86). Multivariable analysis revealed that a low PNI ratio was significantly associated with poor prognosis (HR: 2.94, 95% CI: 1.77-4.87). The PNI ratio was a more sensitive indicator than postoperative PNI status alone for identifying patients at high risk of mortality, particularly those with non-lung cancer causes. The perioperative PNI change is a significant prognostic factor for patients with NSCLC.

Investigation of the predictive value of systemic immune inflammation index (SII) and prognostic nutritional index (PNI) on mortality in patients with endoprosthesis after hip fracture.

In this research, we aimed to investigate the predictive value of the systemic immune inflammation index and prognostic nutritional index on mortality among patients with an endoprosthesis after a hip fracture. In this retrospective, cross-sectional study, a total of 915 patient files applied to our hospital between 2020 and 2023 with an endoprosthesis after a hip fracture were subjected to the study. The patients were divided into 2 groups: alive (n = 396; 43.3%) and deceased (n = 519; 56.7%). The eosinophil-to-lymphocyte ratio, hemoglobin-to-red cell distribution width ratio (HRR), mean platelet volume-to-platelet ratio (MPVPR), neutrophil-to-lymphocyte ratio, monocyte/lymphocyte ratio, platelet-to-lymphocyte ratio, MPV-to-lymphocyte ratio, monocyte-to-eosinophil ratio (MER), neutrophile-to-monocyte ratio, systemic inflammation index (SII), and prognostic nutritional index (PNI) parameters of the patients were evaluated. The mortality rate was higher among male patients, with a statistically significant difference (P < .05). The follow-up duration, albumin, HGB, eosinophil, lymphocyte, eosinophil %, eosinophil-to-lymphocyte ratio, HRR, and PNI means were significantly higher in the living group (P < .05). Age, MPV, MPVPR, neutrophil-to-lymphocyte ratio, monocyte/lymphocyte ratio, platelet-to-lymphocyte ratio, MPV-to-lymphocyte ratio, MER, and systemic inflammation index were significantly higher in the deceased group (P < .05). The predictive value of gender (B = -0.362; P < .01), age (B = 0.036; P < .01), HRR (B = -1.100; P < .01), MPVPR (B = 8.209; P < .01), MER (B = 0.006; P < .01), and PNI (B = -0.078; P < .01) were statistically significant at the multivariate level. The time of death was significantly predicted by gender (B = 0.10; P < .05), age (B = -0.02; P < 0 = 1), HRR (B = 0.61; P < .01), MPVPR (r = -4.16; P < .01), MER (B = -0.01; P < .05), and PNI (B = 0.03; P < .01). The predictive value of PNI for the 30-day mortality rate was statistically significant (AUC: 0.643; P < .01). For a PNI cutoff value of 34.475, sensitivity was 69.7%, and specificity was 51.1%. The PNI has predictive value both in estimating overall mortality and in predicting the 30-day mortality rates among patients undergoing endoprosthesis after a hip fracture.

Investigating the Prognostic Significance of Immune-Nutritional Indices in Esophageal Cancer Patients Following Esophagectomy

Background: Esophageal cancer remains one of the most challenging malignancies to treat, with survival rates significantly influenced by various hematological and nutritional markers. Understanding these markers is critical in optimizing treatment approaches and improving patient outcomes. Objective: This study aimed to investigate the prognostic significance of several markers, including Mean Corpuscular Volume (MCV), Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), C-Reactive Protein (CRP), Albumin, Total Lymphocyte Count (TLC), CRP Albumin ratio (CAR), and the Prognostic Nutritional Index (PNI), in patients with esophageal cancer undergoing esophagectomy. Methods: A prospective observational study was conducted involving 43 patients diagnosed with esophageal carcinoma at Dr. Ruth K.M. Pfau Civil Hospital Karachi. Data collection included patient demographics, tumor characteristics, and laboratory results obtained from the Hospital Information and Management Security System (HIMSS). Statistical analysis was performed using SPSS version 25, with Kaplan–Meier survival curves and log-rank tests assessing the impact of hematological and nutritional markers on survival outcomes. Results: The majority of patients presented with advanced disease (Stage III and IV) and tumor sizes ranging from 5 to 10 cm. Mean survival times and statistical comparisons were analyzed, but no significant differences in survival based on the markers were observed. For example, patients with low and high PNI values did not show significant differences in survival (Log-rank test p-value = 0.382). Conclusion: The study did not demonstrate significant prognostic differences based on the evaluated hematological and nutritional markers. However, it highlights the importance of considering these factors in the overall management of esophageal cancer, suggesting further research with larger sample sizes and diverse populations is necessary.

The Predictive Value of Geriatric Nutritional Risk Index Combined with the GRACE Score in Predicting the Risk of One Year Poor Prognosis in Elderly Patients with Non-ST Segment Elevation Myocardial Infarction After PCI.

As a nutritional indicator, a lower level of geriatric nutritional risk index (GNRI) has been suggested as a predictor for poor prognosis in acute coronary syndrome (ACS). However, whether GNRI could improve the predictive value of the Global Registry of Acute Coronary Events (GRACE) score for the prognosis in elderly patients with non-ST segment elevation myocardial infarction (NSTEMI) after PCI remains unclear. A total of 446 elderly patients with NSTEMI after percutaneous coronary intervention (PCI) were consecutively enrolled. Patients were divided into major adverse cardiovascular and cerebrovascular events (MACCE) group and control group according to the occurrence of MACCE during one year follow up. The clinical parameters including GNRI were compared to investigate the predictors for MACCE. The performance after the addition of GNRI to the GRACE score for predicting MACCE was determined. A total of 68 patients developed MACCE. In unadjusted analyses, the rate of MACCE was significantly higher in the 93.8<GNRI <102.7 group and GNRI ≤ 93.8 group versus GNRI ≥ 102.7 group. The logistics regression model showed that age, GNRI, and GRACE score were independent predictors for MACCE in elderly patients with NSTEMI after PCI. The addition of the GNRI to the GRACE score significantly improved the prediction of MACCE in elderly patients with NSTEMI after PCI, increasing the C-index from 0.792 to 0.885 (p < 0.001); the NRI was 0.094 (95% CI, 0.004-0.177, p < 0.001), and the IDI was 0.011 (95% CI, 0.000-0.023, p < 0.001). Combining GNRI and GRACE score could significantly improve the predictive value of one year MACCE in elderly patients with NSTEMI after PCI. By using this combined new risk model, we could easily identify the high-risk populations in clinical practice, so as to better monitor and manage them.

Preoperative nutritional status and postoperative health outcomes in older adults undergoing spine surgery: Electronic health records analysis

AimTo examine whether a high nutritional risk status, assessed via the Geriatric Nutritional Risk Index (GNRI), is independently associated with postoperative health outcomes, including unplanned intensive care unit (ICU) admissions, infectious complications, and prolonged length of stay in older patients undergoing spine surgery. MethodsWe conducted a retrospective descriptive study analyzing electronic health records from a tertiary hospital, including data from 1,014 patients aged ≥70 undergoing elective spine surgery between February 2013 and March 2023. ResultsHigh nutritional risk patients had significantly higher odds of unplanned ICU admission, infectious complications, and prolonged length of stay compared to low-risk patients. For each one-point increase in GNRI, there was a significant 0.91- and 0.95-fold decrease in the odds of unplanned ICU admission and infectious complications, respectively. ConclusionGNRI screening in older patients before spine surgery may have potential to identify those at elevated risk for postoperative adverse outcomes.