Association of geriatric nutritional risk index with the risk of osteoporosis in the elderly population in the NHANES

The association between nutritional-inflammatory status and chronic kidney disease prognosis: a population-based study

BACKGROUND

Chronic kidney disease (CKD) prognosis is closely tied to the interplay between nutrition and inflammation. However, comprehensive nutritional-inflammatory indices for prognostic evaluation are rare in CKD. This study explored the association of the advanced lung cancer inflammation index (ALI) with estimated glomerular filtration rate (eGFR) and all-cause mortality in CKD patients.

METHODS

A total of 1,982 CKD patients from the National Health and Nutrition Examination Survey (NHANES) database (2011-2018) were included in the analysis. Analytical methods included linear regression, cox regression, and restricted cubic spline (RCS) analysis. Subgroup and sensitivity analyses were performed, and further evaluation was conducted using the receiver operating characteristic (ROC) curve and C-index for all-cause mortality across different CKD stages.

RESULTS

Among CKD patients, 1,103 patients (55.7%) were classified as stage I-II, and 879 patients (44.3%) as stage III-V. After adjusting covariates, ALI was found to be positively correlated with eGFR (Beta = 0.11; 95% CI: 0.07-0.15), and negatively related with all-cause mortality (HR = 0.72; 95% CI: 0.63-0.83). Subgroup analysis showed that the positive correlation between ALI and eGFR was stronger in CKD stage III-V compared to stage I-II. However, ALI's protective effect on mortality was weaker in stage III-V. The C-index for ALI was 0.648 in stage I-II and 0.660 in stage III-V.

CONCLUSION

ALI was significantly associated with eGFR and all-cause mortality in CKD patients. Nutritional and anti-inflammatory interventions in early-stage CKD may improve prognosis, and ALI may have great potential as a multifaceted biomarker to influence the prognosis of CKD, particularly in stages III-V.

Effects of Malnutrition on Perioperative Outcomes of Total Hip Arthroplasty: A Systematic Review and Meta-Analysis

Background

Malnutrition can play a significant role in wound healing, immune response, and conditioning. The purpose of this review is to characterize definitions of malnutrition in total hip arthroplasty (THA) and analyze its effects on postoperative outcomes.

Methods

A systematic search was conducted using iterations of the key terms "total hip arthroplasty" and "malnutrition." Human studies describing malnutrition in patients undergoing primary THA for either traumatic or elective indications were included. Using the SPSS meta-analysis binary and continuous model function, the mean effect size estimate (MSE) or Cohen's d (Cd) statistic with 95% confidence interval was reported.

Results

This search yielded a total of 555 studies, of which 9 articles comprising 495,657 patients undergoing primary THA were included, characterizing 16,895 patients (3.4%) as malnourished. Studies characterized malnutrition as albumin <3.5 g/dL (n = 7) and total lymphocyte count <1500 (n = 1). Malnutrition was associated with an increased rate of nonhome discharge (MSE = 0.81, [0.55-1.07]) and likelihood of readmission (MSE = 0.86, [0.75-0.97]). Malnutrition at the time of surgery was also associated with increased rates of any complication (MSE = 1.01, [0.46-1.57]), wound complications (MSE = 1.04, [0.72-1.36]), pulmonary complications (MSE = 1.54, [1.29-1.78]), need for transfusion (MSE = 0.75, [0.54-0.96]), periprosthetic fracture (MSE = 0.65, [0.47-0.82]), reoperation (MSE = 0.72, [0.58-0.86]), and perioperative mortality (MSE = 2.05, [1.76-2.33]).

Conclusions

Malnutrition was found to have significant associations with complications and disposition following THA. The findings from this meta-analysis provide support for further investigation into perioperative nutritional supplementation strategies for surgeons to optimize at-risk patients prior to THA.

Level of Evidence

III.

Association between geriatric nutritional risk index and osteoarthritis in aged person over 60: data from NHANES 2005-2018

Background

Osteoarthritis (OA), a prevalent age-related degenerative joint disorder, demonstrates significant associations with nutritional status. This study examines the prognostic value of the Geriatric Nutritional Risk Index (GNRI) in OA risk stratification among elderly individuals.

Methods

This retrospective analysis utilized seven NHANES cycles (2005-2018) encompassing geriatric participants (≥ 60 years) possessing complete GNRI measurements and baseline covariates. For comparative cohort balancing, propensity score matching was executed using inverse probability weighting a matched-pairs design, adjusting for age, alcohol consumption, and the Poverty Income Ratio. Multivariable-adjusted weighted logistic regression quantified GNRI-OA associations, with restricted cubic splines (RCS) characterizing nonlinear dynamics. Subgroup analyses were also performed.

Results

This cross-sectional analysis identified 656 OA cases among 3,120 rigorously screened geriatric participants. Elevated GNRI levels demonstrated a significant association with increased OA risk among geriatric populations, with the correlation remaining robust in sensitivity analyses adjusted for metabolic confounders. Specifically, a GNRI ≥ 123.63 was associated with a higher probability of OA in this population. RCS analysis revealed a significant non-linear relationship (p_non-linear < 0.001) between GNRI and OA risk, particularly among men and non-smokers. Subgroup analyses indicated that males, Hispanic Americans, Non-Hispanic Black people, non-smokers, and those with a low PIR were more sensitive to changes in GNRI.

Conclusion

Elevated GNRI was independently associated with OA prevalence in geriatric populations, demonstrating nutritional status's pivotal role in degenerative joint pathophysiology. The impact of GNRI on OA risk may differ across demographic subgroups, highlighting the need for personalized approaches in managing OA risk based on nutritional status.

The relationship between geriatric nutritional risk index and cardiovascular disease and all-cause mortality in patients with osteoporosis and osteopenia

BACKGROUND

The correlation between geriatric nutritional risk index (GNRI) and the prognosis of patients with osteoporosis or osteopenia has not been studied. This study aims to explore the relationship between GNRI and the cardiovascular disease (CVD) and all-cause mortality rates in elderly patients with osteoporosis or osteopenia.

METHODS

This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey (NHANES). We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates. The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk. Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality.

RESULTS

During a median follow-up period of 114 months, a total of 1241 deaths (26.09%) occurred, including 300 deaths due to CVD (6.31%). In the fully adjusted Model 3, compared to the no-risk group, the risk group showed significantly increased all-cause mortality risk (HR = 2.05, 95% CI: 1.74-2.40) and CVD mortality risk (HR = 1.88, 95% CI: 1.30-2.71). The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk. The mediation analysis results indicated that chronic kidney disease mediates 16.9% of the effect of nutritional risk on all-cause mortality and 25.3% on CVD mortality risk.

CONCLUSIONS

GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.

Association between the geriatric nutritional risk index with the risk of frailty and mortality in the elderly population

Frailty is a major health concern among older adults. The Geriatric Nutrition Risk Index (GNRI) is an important instrument for evaluating the nutritional condition in older individuals. Despite its relevance, there remains a paucity of research exploring the relationship between GNRI with the risk of frailty and adverse outcomes. This study aims to investigate the relationship between the GNRI and the risk of frailty and mortality in older adults. Three distinct models were developed, and the association between GNRI and frailty prevalence was investigated using multivariable logistic regression. To explore the relationship between GNRI and mortality among frail individuals, Cox regression analysis was applied. Potential non-linear associations were assessed using restricted cubic spline (RCS) analysis. Interaction tests and stratified analyses were performed to further evaluate the consistency of these associations. This study included 6,753 eligible participants from 2003 to 2018, of whom 34.36% were diagnosed with frailty. After adjusting for all potential covariates, an increase of 1 unit in GNRI was associated with a 7% reduction in frailty prevalence (OR 0.93, 95% CI 0.91-0.95, P < 0.0001). Compared to the low GNRI group, individuals in the high GNRI group had a lower likelihood of being frail (OR 0.41, 95% CI 0.30-0.55, P < 0.0001). Among frail individuals, those with a higher GNRI had a lower risk of mortality relative to those with a lower GNRI (cardiovascular mortality: HR: 0.61, 95% CI 0.43-0.86, P = 0.004; all-cause mortality: HR: 0.58, 95% CI 0.45-0.75, P < 0.0001). The associations between GNRI and frailty prevalence, as well as mortality risk, exhibited consistency in most cases (P for interaction > 0.05). A higher GNRI is significantly related to a diminished prevalence of frailty. In frail older adults, a lower GNRI is an independent predictor of enhanced risk of both total and cardiovascular mortality.

Predictive Value of Preoperative Nutritional Risk Index for Screw Loosening After Lumbar Interbody Fusion in Elderly Patients With Lumbar Spine Diseases

OBJECTIVE

Pedicle screw loosening is one of the common complications in elderly patients undergoing transforaminal lumbar interbody fusion (TLIF) for lumbar spine disease. Malnutrition, prevalent among elderly patients, has been shown to be associated with increased complications. The Geriatric Nutritional Risk Index (GNRI) serves as a simple indicator of nutritional status. However, the relationship between malnutrition, particularly GNRI, and pedicle screw loosening has not been adequately investigated. This study aims to investigate the relationship between GNRI and pedicle screw loosening following TLIF to guide the perioperative nutritional management of patients and prevent postoperative complications.

METHODS

A retrospective review was conducted on clinical data from patients who underwent single-level TLIF between 2014 and 2022. Data collection encompassed patient demographics, preoperative laboratory parameters, surgery-related data, perioperative radiographic data, and patient-reported outcomes were comprehensively documented. All patients were followed up for a minimum of 12 months. The relationship between GNRI and pedicle screw loosening was evaluated by univariate and multivariate Cox regression analysis, restricted cubic spline (RCS) analysis, receiver operating characteristic (ROC) analysis, and Kaplan-Meier survival analysis.

RESULTS

A total of 426 patients were included in the study. The rate of pedicle screw loosening rate was 16.4% at a minimum follow-up of 12 months. Patients with pedicle screw loosening exhibited significantly lower GNRI (89.0 ± 8.0 vs. 99.2 ± 9.3, p < 0.001) and volumetric bone mineral density measured by quantitative computed tomography (QCT-vBMD) (84.2 [interquartile range (IQR) 79.6-92.2] vs. 104.0 [IQR 88.2-126.0] mg/cm3, p < 0.001) compared with those in the non-loosening group. Multivariate Cox regression analysis identified sex (hazard ratio [HR] 1.433, 95% confidence interval [CI] 0.714-2.876, p = 0.027), age (HR 1.062, 95% CI 1.014-1.113, p = 0.012), GNRI (HR 0.841, 95% CI 0.711-0.994, p = 0.043), and QCT-vBMD (HR 0.982, 95% CI 0.967-0.997, p = 0.019) as independent risk factors for screw loosening. RCS analysis showed that GNRI was negatively correlated with screw loosening (p < 0.0001). The area under the curve (AUC) for the GNRI in predicting pedicle screw loosening was 0.794, with a cut-off value of 95.590 (sensitivity, 85.7%; specificity 65.2%). Kaplan-Meier survival analysis identified that the lower-level GNRI group exhibited a higher cumulative incidence of screw loosening (log-rank test, p < 0.0001).

CONCLUSION

The GNRI was an independent risk factor for postoperative screw loosening in elderly patients undergoing TLIF for lumbar spine disease. Preoperative GNRI may potentially serve as a valuable tool in predicting postoperative screw loosening in elderly patients undergoing TLIF.

Association between Geriatric Nutritional Risk Index and all-cause mortality in individuals with osteoporotic fractures: a retrospective cohort study

BACKGROUND

The number of patients with osteoporotic fractures (OPFs) is on the rise because of global aging. However, few studies have examined the connection between Geriatric Nutritional Risk Index (GNRI) and overall mortality among inpatients with OPFs. Thus, our research seeks to investigate the link between GNRI and overall mortality in inpatients with OPFs.

METHODS

A retrospective cohort study was investigated on 3143 Kunshan OPFs residents aged ≥ 50 years. Participants were stratified into malnutrition (GNRI ≤ 98) and no malnutrition groups (GNRI > 98). Multivariate Cox regression analyses were utilized to evaluate the connection between GNRI and overall mortality. No non-linear association was detected through smoothed curve fitting and threshold analysis. Kaplan-Meier curves were employed to compare the cumulative risk of mortality across varying nutritional conditions. Subgroup analyses were conducted to further investigate the effects of age, sex and other clinical and laboratory factors on the link between GNRI and mortality.

RESULTS

3,143 qualified inpatients with OPFs were involved in the final evaluation. Kaplan-Meier curves revealed that the cumulative risk of mortality was markedly elevated in malnutrition group compared to no malnutrition group. In complete adjustments model, malnutrition group showed an adjusted hazard ratio (aHR) of 1.42 [95% CI 1.05, 1.90; P-value = 0.021]. Furthermore, subgroup analyses revealed that no substantial interactions were detected among all variables. (P-interaction > 0.05).

CONCLUSIONS

Reduced GNRI scores are linked to higher mortality in inpatients with OPFs. The GNRI potentially serve as a predictor for overall mortality risk in this population.

Geriatric nutritional risk index as a predictor of mortality in women with chronic inflammatory airway disease: evidence from NHANES 1999-2018

Background

The incidence of Chronic Inflammatory Airway Diseases (CIAD) has been steadily increasing, making it a significant contributor to the global disease burden. Additionally, the risk of airway diseases in elderly women continues to rise each year, with nutritional factors playing a crucial role in the progression of CIAD. The Geriatric Nutritional Risk Index (GNRI) is a novel tool for assessing individual nutritional status. This study aims to assess the relationship between GNRI and the risk of all-cause and cardiovascular mortality in elderly women with CIAD, providing guidance for nutritional interventions to reduce mortality risk.

Methods

Data from elderly female patients and relevant indicators were sourced from the National Health and Nutrition Examination Survey (NHANES) database. Nutritional status was assessed using the GNRI, and patients were divided into four groups based on their GNRI quartiles. Weighted Cox proportional hazards regression models were used to examine the relationship between GNRI and all-cause as well as cardiovascular mortality in elderly women with CIAD. Additionally, restricted cubic spline (RCS) analysis was applied to explore the association between GNRI and different mortality outcomes, and subgroup analysis was conducted to further validate the robustness of the findings.

Results

A total of 1,417 elderly female CIAD patients were included in this study. During a median follow-up of 91 months, 515 deaths from all causes and 157 deaths from cardiovascular causes occurred. Multivariable-adjusted Cox proportional hazards models indicated that compared to the lowest GNRI quartile, the other quartiles showed a general decreasing trend in both all-cause and cardiovascular mortality risk (p < 0.05). In the fully adjusted model, the highest GNRI quartile had the lowest risks of all-cause mortality (HR = 0.40, 95% CI: 0.22-0.72, p < 0.05) and cardiovascular mortality (HR = 0.29, 95% CI: 0.11-0.78, p < 0.05).The RCS analysis demonstrated a nonlinear association between GNRI and both all-cause and cardiovascular mortality (P for nonlinearity <0.001).

Conclusion

In elderly women with CIAD, lower GNRI levels are associated with an increased mortality risk. GNRI may serve as a potential predictive tool for both all-cause and cardiovascular mortality, providing valuable insights for nutritional interventions and clinical decision-making.

Association between the Geriatric Nutritional Risk Index and sarcopenia in American adults aged 45 and older

OBJECTIVES

Nutrition is closely related to the occurrence of sarcopenia. Evidence shows that sarcopenia has a serious impact on population health and the social economy. Geriatric Nutritional Risk Index (GNRI) is a useful prognostic predictor for several chronic diseases. Our original intention was to investigate whether GNRI correlates with sarcopenia.

METHODS

We included 4,709 adults aged 45 years and older from the National Health and Nutrition Examination Survey from 2009 to 2018 in this cross-sectional study. According to the level of GNRI, they were categorized into High-GNRI and Low-GNRI groups, while sarcopenia was assessed using skeletal muscle index. Multivariate logistic regression was employed to investigate the independent relevance between the GNRI and the prevalence of sarcopenia. We examined the linear or nonlinear relevance between GNRI and sarcopenia using the Restricted Cubic Spline (RCS) curve, and the threshold effect was analyzed. We explored whether some specific populations are more susceptible to GNRI affecting the occurrence of sarcopenia through subgroup analysis.

RESULTS

The incidence of sarcopenia was substantially reduced in the High-GNRI group (17.7% vs. 13.2%; p = 0.013). We found that GNRI is an essential predictor of sarcopenia (OR: 0.57; 95%CI: 0.41-0.79; p = 0.001). The occurrence of sarcopenia was reduced by increasing GNRI. Subgroup analysis showed that some specific populations were more susceptible to GNRI, which reduced the incidence of sarcopenia in individuals. These populations included high school graduates and above (p = 0.006), non-Hispanic white (p = 0.045), married or living with a partner (p = 0.03), and non-diabetic (p = 0.021). The RCS curve showed a non-linear inverse relevance between GNRI and sarcopenia (non-linear p = 0.033), with a threshold identified at GNRI = 91.935.

CONCLUSIONS

GNRI is a reliable predictor of sarcopenia in Americans aged 45 and older, with a nonlinear inverse relationship identified at a threshold GNRI of 91.935.

Systemic immune-inflammation index to albumin (SII/ALB) ratio as a novel dual-dimensional powerful predictor for hip fractures in elderly females with diabetes: a postmenopausal longitudinal cohort study

PURPOSE

Hip fracture is the most dangerous and potentially lethal fracture, described as "the last fracture of life" in older adults. Previous studies have shown that excessive immunoinflammatory response and nutrient deficiency may be involved. Nevertheless, a predictor for hip fracture risk that combines a thorough evaluation of immunoinflammatory with malnutritional conditions in postmenopausal women with type 2 diabetes mellitus (T2DM) remains scarce. This study explored the relationship between the SII/ALB ratio (SAR) and fragility fracture risk in postmenopausal older adults with T2DM.

METHODS

Between January 2014 and January 2021, a total of 509 postmenopausal female participants with T2DM were recruited from the Medical Record Database of the People's Hospital of Guangxi Zhuang Autonomous Region. Finally, 363 participants with an age median of 69.00 (64.00-75.00), were eligible for inclusion in this analysis. According to the statistical tertiles of the SAR, all participants were split into three groups: low-level (≤ 98.24, n = 121), moderate-level (98.24-157.25, n = 121), and high-level (≥ 157.25, n = 121). The participants were followed up for seven years, with a median follow-up time of 45.9 months (1389 person-years). The relationships between the SAR and a real-world fragility fracture event and an individualized future 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) calculated by the fracture risk assessment tool (FRAX) were evaluated through Spearman's partial correlation analysis, restricted cubic spline (RCS) model, Cox proportional hazards regression model, and Kaplan-Meier survival analysis. Furthermore, some indicators such as geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and SII were also calculated and compared to their diagnostic efficacy and the clinical application value through the receiver operating characteristic (ROC) curve analysis and the decision curve analysis (DCA), respectively.

RESULTS

Of the 363 participants, 69 suffered a real-world fragility fracture event (19%). Spearman's partial correlation analysis indicated that SAR was negatively related to femoral neck (FN) bone mineral density (BMD) (r = -0.108, P = 0.041) and total hip (TH) BMD (r = -0.118, P = 0.025), but not lumbar spine (LS) BMD (all Models P > 0.05); positively correlated with an individualized future 10-year probability of MOF (r = 0.136, P = 0.010) and HF (r = 0.139, P = 0.008) calculated by FRAX, especially in hip fracture risk. The RCS model demonstrated the relationship between the SAR and a fragility fracture endpoint event in a J-shaped dose-dependent manner (P for overall < 0.001, P for nonlinear = 0.866). Multivariate Cox regression analysis indicated that the SAR was positively associated with fragility fracture risk (P < 0.001). Kaplan-Meier survival analysis showed that patients with higher levels of SAR had a greater probability of fragility fracture risk (log-rank, P < 0.0001). The ROC curve demonstrated an optimal SAR cut-off value of 146.209 with an area under the curve (AUC) of 0.740, a sensitivity of 0.681, and a specificity of 0.701 (P < 0.001). According to the AUC values, the ROC curve analysis combined with the DCA illustrated that the diagnostic efficacy and the clinical application benefit ranked as follows: SAR > SII > PNI > GNRI, respectively.

CONCLUSION

Our findings show the SAR is a novel dual-dimensional powerful predictor for fragility fracture risk, especially hip fracture, and as an effective tool for developing fragility fracture prevention strategies in postmenopausal females with T2DM. Consequently, monitoring SAR levels in usual clinical practice to focus on immunoinflammatory and nutritional status to identify individuals at high risk of hip fracture and implement timely fracture interventions is particularly essential.

CLINICAL TRIAL NUMBER

Not applicable.

Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study

Background

The prevalence of overactive bladder (OAB) is increasing in the elderly population and there is growing evidence that malnutrition affects the urinary system. Despite this, research on the relationship between nutritional factors and OAB remains limited.

Methods

We included 17,161 elderly individuals from the National Health and Nutrition Examination Survey conducted between 2005 and 2018. Overactive Bladder Symptom Scores (OABSS) were utilized to assess symptoms of OAB. A multifactorial logistic regression analysis was employed to evaluate the independent association between the Geriatric Nutritional Risk Index (GNRI) and the prevalence of OAB. Restricted cubic spline plots examined the potential non-linear relationship between GNRI and OAB. Influencing factors were assessed through subgroup analyses, while the predictive utility of GNRI was assessed with receiver operating characteristic (ROC) curves. The influence of inflammatory response and cognitive function on the interaction between GNRI and OAB was also examined by mediation analysis.

Results

GNRI in the OAB group was significantly lower than that in the non-OAB group. Multifactorial logistic regression analysis revealed that GNRI significantly predicts OAB (p < 0.05). The Restricted Cubic Spline (RCS) curve indicated a non-linear negative correlation between GNRI and the risk of OAB in the elderly (non-linear p = 0.0029). In receiver operating characteristic analysis, GNRI outperforms serum albumin or body mass index (BMI) alone in predicting OAB risk. The study revealed that inflammatory response mediates the relationship between GNRI and OAB, while cognitive function has a relatively weaker influence on the strength of the association between GNRI and OAB.

Conclusion

GNRI serves as a reliable predictive marker for OAB in the elderly population, demonstrating a nonlinear inverse correlation with OAB prevalence. Furthermore, this study elucidates the underlying inflammatory mechanisms that link GNRI to the development of OAB.

Correlation Analysis Between the Geriatric Nutritional Risk Index Hip Fracture in Male: Based on the National Health and Nutrition Examination Survey Database

Hip fractures (HFs) are common in elderly patients and are associated with high mortality rates and functional impairment. Malnutrition has been shown to negatively impact postoperative survival rates in HF patients. However, the relationship between the Geriatric Nutrition Risk Index (GNRI) and the risk of HF remains unclear. This study aims to evaluate the association between GNRI and HF risk, with a particular focus on the elderly male population.We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) for the periods 2007-2010, 2013-2014, and 2017-2018. Through multivariate regression analysis, we assessed the association between GNRI and HF and performed stratified and subgroup analyses to further explore this relationship. Additionally, we utilized restricted cubic splines (RCSs) to investigate the potential nonlinear relationship between GNRI and HF risk.The study found that gender significantly influenced the relationship between GNRI and HF (p for interaction = 0.002). In males, GNRI was significantly negatively associated with the risk of HF (OR < 1, p < 0.05). RCS analysis showed that the relationship between GNRI and HF risk in elderly males might be linearly negative. The critical threshold for GNRI was identified as 104.14, beyond which the risk of HF significantly decreased.This study demonstrates a linear negative correlation between GNRI and the risk of HF in elderly males, with a GNRI of 104.14 identified as the critical threshold for predicting the risk of hip fractures.

Association between NAFLD and liver fibrosis with nutritional risk index based on the NHANES 2017-2018

BACKGROUND

Nutrition and its associated inflammation have been acknowledged as vital factors in the etiopathogenesis of non-alcoholic fatty liver disease (NAFLD) and liver fibrosis. The nutritional risk index (NRI) has been widely recognized as a valid indicator of nutritional status in several diseases, including osteoporosis and cardiovascular disease. However, the role of NRI in NAFLD and liver fibrosis remains unclear.

METHODS

Participants were selected from the National Health and Nutrition Examination Survey data for the 2017-2018 cycle. Association between NRI and both NAFLD and liver fibrosis was evaluated using multiple logistic regression and restricted cubic spline (RCS) analysis. Mediation analysis was employed to assess the influence of inflammation on the association between NRI and both NAFLD and liver fibrosis.

RESULTS

Compared to their respective control groups, individuals with NAFLD and liver fibrosis exhibited higher NRI levels. Multiple logistic regression analyses indicated that NRI was positively associated with the odds of NAFLD and liver fibrosis across both continuous scales and quantile groups, with adjustments for relevant covariables. The RCS model demonstrated a dose-response effect between NRI and the odds of NAFLD, but not with liver fibrosis. Receiver operating characteristic (ROC) analysis revealed the area under the ROC curves of 0.798 and 0.775 for NAFLD and liver fibrosis, respectively. Mediation analysis showed that inflammation accounted for 3.139% of the effect of NRI on the odds of NAFLD, suggesting inflammation might partially mediate the impact of NRI on NAFLD.

CONCLUSIONS

Our findings indicate that NRI may serve as a potential associated marker for these liver diseases, underscoring the importance of nutritional status in their etiopathogenesis.

Association of the geriatric nutritional risk index with poor outcomes in patients with coronary revascularization: a cohort study

Background

Poor nutritional status may affect outcomes after coronary revascularization, but the association between nutritional status and outcomes in patients undergoing coronary revascularization has not been fully evaluated. This study was based on the MIMIC-IV database to analyze the impact of baseline nutritional status on poor outcomes in patients with coronary revascularization.

Methods

Patients with coronary revascularization were screened from the MIMIC-IV database. A geriatric nutritional risk index (GNRI) was calculated and used to divide patients into 4 groups: no malnutrition (Q4: ≥96.79), mild malnutrition (Q3: 90.85-96.78), moderate malnutrition (Q2: 86.37-90.84), and severe malnutrition (Q1: 86.37). The primary outcome measure was 28-day mortality, and the secondary outcome measures were AKI and length of hospital stay. Cox proportional hazards model, Kaplan-Meier survival analysis, restricted cubic spline (RCS), and multiple linear regression model were used for statistical analysis, respectively, to ensure the robustness of study results.

Results

A total of 1,168 patients with coronary revascularization were included. The GNRI demonstrated a significant association with 28-day mortality in patients undergoing coronary revascularization. As a continuous variable, the GNRI exhibited a notable inverse correlation with mortality across unadjusted, partially adjusted, and fully adjusted Cox regression models [hazard ratios (HRs): 0.93, 0.94, 0.96, respectively; all P < 0.001]. When considered as a categorical variable, a low GNRI (first quartile, Q1) was significantly associated with elevated mortality risks (HRs: 2.64, 2.30, 1.82 in the unadjusted, partially adjusted, and fully adjusted models, respectively; all P < 0.05). Subgroup analysis revealed a more pronounced association in patients under 65 years of age (P for interaction = 0.014). Furthermore, reduced GNRI levels were also associated with an increased incidence of AKI and extended hospital lengths of stay.

Conclusion

GNRI is associated with prognosis in patients with coronary revascularization. Patients with lower GNRI had higher 28-day mortality, greater risk of AKI, and longer hospital stays.

The Role of Inflammatory and Nutritional Indices in Postmenopausal Osteoporosis: A Retrospective Study

Background: Postmenopausal osteoporosis is characterized by impaired bone metabolism, inflammation, and nutritional deficiencies. This study aimed to evaluate the potential of inflammatory and nutritional markers in identifying decreased bone mineral density (BMD) in postmenopausal women. Methods: This cross-sectional study retrospectively analyzed postmenopausal women from January 2018 and December 2023. A total of 368 women were divided into three groups based on T-scores: 61 women with osteoporosis (T-score ≤ -2.5), 153 women with osteopenia (-1 > T-score > -2.5), and 154 women with normal BMD (T-score > -1). Inflammatory and nutritional biomarkers included the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune inflammation value (PIV), geriatric nutritional risk index (GNRI), triglycerides, total cholesterol, and body weight index (TCBI), prognosis nutritional index (PNI), hemoglobin, albumin, lymphocyte, and platelet (HALP) score, 25-OH Vitamin D level, Na, K, Ca, Mg, and their ratios. Results: The GNRI was significantly lower in the osteoporosis group compared to the control group. The NLR, PLR, SII, SIRI, PIV, TCBI, PNI, and HALP were similar between the groups. The GNRI and TCBI showed a positive correlation with T-scores. The Mg level was lower in the osteoporosis group than in the control group and osteopenia group, and the Na/Mg ratio was higher. Additionally, the Ca/Mg ratio was lower in the osteoporosis group than in the control group. The T-score was positively correlated with Mg and Ca/Mg, while the Na/Mg ratio showed a significant negative correlation. Vitamin D, other minerals, and their ratios did not show significant differences between the groups. Conclusions: Our findings suggest that the GNRI could serve as a useful indicator for assessing bone health and the risk of osteoporosis. Furthermore, maintaining appropriate levels of Mg and balanced Na/Mg and Ca/Mg ratios appears crucial for BMD.

The Association Between Nutritional Risk and Bone Stiffness in Elderly Men and Women in a Population-Based Study in Northeast Germany

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI) has shown promising potential for identifying individuals at risk for osteoporosis in various patient cohorts. However, data from the general population confirming or refuting the usefulness of the GNRI as a risk factor for osteoporosis are sparse. We therefore aimed to clarify whether the GNRI is associated with the ultrasound-based bone stiffness index and the osteoporotic fracture risk in a sample of elderly men and women from the general population.

METHODS

Data from 1417 participants in the Study of Health in Pomerania START-2 or TREND-0 aged 65 years or older with quantitative ultrasound measurements at the heel and GNRI values were examined. In cross-sectional linear and logistic regression models, associations between the GNRI and heel stiffness index or ultrasound-based osteoporotic fracture risk were examined. All analyses were repeated after stratification of the study population according to BMI (underweight/normal weight, overweight and obese).

RESULTS

In underweight/normal weight individuals, higher, i.e., better, GNRI values had a positive effect on the stiffness index (β-coefficient per standard deviation increase in GNRI = 2.69, standard error = 1.00, p = 0.007). With increasing GNRI values, underweight/normal weight elderly men and women also had higher chances of a low osteoporotic fracture risk (odds ratio 1.42, 95% confidence interval 1.04-1.94, p = 0.026). Corresponding associations in overweight or obese individuals were absent.

CONCLUSIONS

In elderly men and women with underweight/normal weight, the GNRI is positively associated with the bone stiffness index and the related osteoporotic fracture risk. In this group, the GNRI may prove useful in identifying individuals with an elevated fracture risk.

Association between serum albumin with geriatric nutritional risk index and osteopenia in Chinese elderly men: a nested case-control study

BACKGROUND AND OBJECTIVES

Malnutrition is associated with a higher risk of osteoporosis. We aim to assess the relationship between serum albumin with geriatric nutritional risk index and osteopenia in Chinese elderly men.

METHODS AND STUDY DESIGN

This is a nested case-control study from a prospective cohort enrolled 1109 individuals who were followed for seven years. Demographic data, medical history, signs and symptoms, and laboratory parameters were collected and analysed. Nutritional status and Geriatric Nutritional Risk Index (GNRI) were assessed. The nutrition-related indexes predictive value for osteopenia development was analyzed through multivariate Cox regression analysis and by creating a receiver operating characteristic curve (ROC), calculating the area under the curve (AUC). Kaplan-Meier (K-M) method was further used to find the nutritional status level in the elderly men.

RESULTS

The ALB and GNRI correlated with the risk of osteopenia in Chinese elderly men. After adjusting for all covariates, people with higher ALB level (HR: 0.821; 95% CI: 0.790-0.852) and higher GNRI score (HR: 0.889; 95% CI: 0.869-0.908) had a smaller risk of osteopenia. ROC analysis showed that the AUC for ALB was 0.729 (p<0.05) and for the GNRI score was 0.731 (p<0.05). K-M curve indicated a significant difference in ALB level (p<0.001) and GNRI score (p<0.001) in the respective subgroups.

CONCLUSIONS

This study found that lower ALB level and lower GNRI score are associated with a higher prevalence of osteopenia among elderly men in China.

Relationship between Geriatric Nutritional Risk Index with all-cause and CVD mortality in osteopenia and osteoporosis

Purpose

This study investigated the relationship between Geriatric Nutritional Risk Index (GNRI), and all-cause, cardiovascular (CVD) mortality, in individuals with osteopenia and osteoporosis.

Methods

Using NHANES data from 2005 to 2019, 6,824 participants diagnosed with osteopenia and osteoporosis were analyzed. Participants were categorized based on GNRI tertiles, and statistical methods like the fitted curves, Kaplan-Meier curves, cox regression, and subgroup analyses were employed.

Results

Lower GNRI tertiles correlated with older age, male gender, and more comorbidities. Mortality rates differed significantly across GNRI tertiles over an average 7.9-year follow-up, with a notable inverse J-shaped association between GNRI and mortality. Adjusted HRs indicated a 1.6-2-fold increase in all-cause mortality for the lowest GNRI tertile, persisting across comprehensive adjustments. CVD mortality followed a similar trend.

Conclusions

This study illuminates a robust correlation between GNRI levels and mortality risks in osteopenia and osteoporosis. Its consistent dose-response relationship across all-cause, and CVD mortality underscores its pivotal role as a prognostic factor.

Inverted U-shaped association between total testosterone with bone mineral density in men over 60 years old

BACKGROUND

Aging often leads to changes in hormone levels, particularly testosterone, which is thought to significantly affect bone health in older males.

OBJECTIVE

This study aimed to explore the link between testosterone levels and bone mineral density in men aged 60 and above.

METHODS

Data from the National Health and Nutrition Examination Survey 2013-2014 were used. Weighted multivariable linear regression models were employed to study the association between testosterone and bone mineral density. Furthermore, a weighted generalized additive model and smooth curve fitting were used to address potential nonlinear patterns in the data.

RESULTS

The analysis included 621 elderly men. After accounting for various factors, the study uncovered a Inverted U-shaped correlation between testosterone levels and femoral neck density. Notably, a turning point was identified at the testosterone level of 406.4 ng/dL. Further examination, using different models, showed that testosterone levels in the third quartile (group Q3) were positively linked to bone density. However, contrasting trends were observed in the first (group Q1) and fourth quartiles (group Q4), where testosterone levels displayed a negative relationship with bone density.

CONCLUSION

The results indicate a complex interplay between testosterone levels and bone mineral density in elderly men. The U-shaped trend suggests that both low and high testosterone levels could negatively impact bone health. These findings highlight the importance of maintaining testosterone levels within an optimal range to preserve bone health in aging men.

The association between Geriatric Nutritional Risk Index and KSD disease: results from National Health and Nutrition Examination Survey 2007-2018

Background

Kidney stone disease (KSD) is a widespread problem in urology. But the associations between the Geriatric Nutritional Risk Index (GNRI), an important indicator for assessing the nutritional status of elderly hospitalized patients, and KSD are understudied.

Objective

Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2018, our study analyzed the correlation between the GNRI and KSD prevalence at cross-sectional level. The aim of the study was to explore the association between GNRI and the prevalence of KSD to identify potential risk factors and inform prevention and management strategies for KSD.

Methods

This cross-sectional study analyzed data focusing on 26,803 adults (20-80 years) after screening for complete data. It evaluated GNRI, a formula involving albumin, present, and ideal body weight, stratifying participants into quartiles. The primary outcome was the history of KSD, based on self-reports. Covariates included demographic, health, and lifestyle factors. Statistical analysis employed t-tests, ANOVA, Wilcoxon, and Kruskal-Wallis tests, with logistic regression modeling GNRI's impact on KSD prevalence, assessing odds ratios and potential multicollinearity, and sensitivity analyses excluding individuals with low eGFR and adjusting cycle years.

Results

Significant disparities are found in GNRI distributions between individuals with and without kidney stones. Higher GNRI levels are more common in kidney stone patients, with 39.249% in the highest quartile versus 33.334% in those without stones. Notably, those in the highest GNRI quartile (Q4) show a lower prevalence of kidney stone disease (KSD) than those in the lowest (Q1), with rates of 11.988% versus 8.631%, respectively (P < 0.0001). Adjusted model results reveal that higher GNRI quartiles (Q3-Q4) correlate with reduced KSD prevalence, with odds ratios of 0.85 (95% CI [0.72, 1.00]) and 0.76 (95% CI [0.65, 0.89]). A nonlinear inverse relationship exists between GNRI levels and KSD prevalence across the population (P < 0.001), confirming that higher GNRI lowers KSD prevalence. Subgroup and sensitivity analyses support these findings.

Conclusion

The study underscores a significant, albeit nonlinear, association between elevated GNRI levels and decreased KSD prevalence. This relationship highlights the importance of nutritional assessment and management in KSD prevention strategies.

Gastrointestinal health and serum proteins are associated with BMD in postmenopausal women: a cross-sectional study

BACKGROUND

With increasing age, the social and economic burdens of postmenopausal osteoporosis are steadily increasing. This study aimed to investigate the factors that influence the development of postmenopausal osteoporosis.

METHODS

Postmenopausal women at the Affiliated Hospital of Jiangnan University from January 2023 to December 2023 were recruited for BMD examination. The patients were divided into a normal group, an osteopenia group and an osteoporosis group according to their T value. Questionnaires, including the Gastrointestinal Symptom Rating Scale and Short Form 12, were administered through face-to-face interviews. Bone turnover markers and serum protein levels of Fasting venous blood were detected.

RESULTS

A total of 222 postmenopausal women met the inclusion criteria were recruited. Univariate analysis revealed statistically significant differences in age, education, BMI, supplementation with soy products, supplementation with dairy products, supplementation with other nutritional supplements, exercise frequency, gastrointestinal symptom score, quality of life, 25(OH)D, total protein, albumin and prealbumin among the three groups (P < 0.05). Pearson correlation analysis revealed that gastrointestinal symptoms (r = -0.518, P < 0.01) was negatively correlated with BMD in postmenopausal women, while PCS (r = 0.194, P = 0.004), MCS (r = 0.305, P < 0.01), 25(OH)D (r = 0.531, P < 0.01), total protein (r = 0.324, P < 0.01), albumin (r = 0.341, P < 0.01) and prealbumin (r = 0.259, P < 0.01) were positively correlated with BMD. Logistic regression analysis revealed that both the gastrointestinal symptom score and serum 25(OH)D level were found to have a significant association with BMD (both P < 0.01). This association remained significant even after adjusting for age, BMI, education level, dietary habits, and exercise frequency.

CONCLUSION

Gastrointestinal symptoms and serum 25(OH)D elevel are associated with increased risk of osteoporosis in postmenopausal women and may be useful in predicting osteoporosis in postmenopausal women.

Association of geriatric nutritional risk index with bone mineral density and osteoporosis in postmenopausal elderly women with T2DM

BACKGROUND AND OBJECTIVES

To investigate the relationship between geriatric nutritional risk index (GNRI) and osteoporosis (OP) in postmenopausal elderly women with type 2 diabetes mellitus (T2DM).

METHODS AND STUDY DESIGN

A total of 141 postmenopausal elderly women with T2DM was divided into OP and normal bone mineral density (BMD) groups, the differences in GRNI levels between the two groups were compared. According to the tertile levels of GRNI, T2DM were divided into three groups (T1, T2, T3 groups), and the differences in OP prevalence and levels of BMD among the three groups were compared.

RESULTS

Among postmenopausal elderly women with T2DM, GNRI levels were lower in the OP group compared to the nor-mal BMD group [(103±5.46) vs. (105±5.46), p<0.05)]. With elevated GNRI levels, the BMD levels of femoral, total hip, total body, and lumbar vertebrae (L) were gradually increased, which were higher in the T3 group than in the T1 group (all p< 0.05). GNRI levels were positively correlated with the BMD levels of femoral, spine, total hip, total body, L1, L2, L3, L4, and L1-L4. GNRI was an independent influencing factor for the occurrence of OP (OR=0.887, 95%CI [0.795,0.988]). The ROC curve showed that the GNRI combined with serum ALP and P levels had a high predictive value for OP, with an area under the curve of 0.725 (p<0.01).

CONCLUSIONS

In postmenopausal elderly women with T2DM, GNRI was independently and positively correlated with BMD levels. GNRI may be a predictor development of OP.

Association between geriatric nutritional risk index and cognitive function in older adults with/without chronic kidney disease

BACKGROUND

Cognitive impairment is highly prevalent among patients with chronic kidney disease, who face an increased risk of cognitive decline. The aim of this study was to investigate the relationship between the Geriatric Nutritional Risk Index (GNRI) and cognitive function in older individuals, both with and without chronic kidney disease (CKD).

METHODS

In this study, we analyzed data from 2728 participants in the 2011-2014 National Health and Nutrition Examination Survey (NHANES). Cognitive function was measured using the Consortium to Establish a Registry for the Alzheimer's Disease Word Learning subtest (CERAD W-L), the animal fluency test (AFT), the digit symbol substitution test (DSST), and the global cognitive z-score. The GNRI, representing whole-body nutritional status, was calculated based on serum albumin, body weight, and ideal body weight. We employed weighted multiple linear regression analyses and subgroup analyses to assess the independent association of GNRI with cognitive function in CKD and non-CKD populations. Smoothing techniques were used to fit curves, and interaction tests were used to assess the robustness and specificity of the findings.

RESULTS

Our analyses revealed a significant positive association between higher GNRI levels and cognitive function in the older US population (for global z-score: β = 0.01; 95% confidence interval [CI] = 0.00, 0.01). This association remained consistent across various subgroup analyses, including those for different gender groups, age groups, smoking statuses, diabetes statuses, hypertension statuses, individuals with a BMI below 25, individuals who consumed alcohol, and non-Hispanic white individuals. Smoothed curve-fitting analyses indicated that the GNRI was linearly related to cognitive function. No statistically significant interactions were detected among these variables.

CONCLUSION

Our findings emphasize the positive association between GNRI and cognitive health in individuals with or without CKD, especially when combined with other risk factors. Consequently, enhancing the nutritional status of the elderly may serve as a viable strategy to thwart the onset of cognitive decline.

Association between the geriatric nutritional risk index and cognitive functions in older adults: a cross-sectional study from National Health and Nutrition Examination Survey

Objective

To investigate the associations between the geriatric nutritional risk index (GNRI) with cognitive functions among U.S. older adults. (Patients were classified into two nutrition risk groups based on the GNRI).

Methods

Our analysis utilized data from the cross-sectional National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2014. Cognitive function was measured using CERAD test, AFT and DSST. Composite z-scores were obtained by summing test-specific z-scores of the above three cognitive tests and were used to assess the global cognitive function. We employed weighted logistic regression models to evaluate the associations between GNRI and nutritional status (low and high GNRI) with cognitive function among older participants. The non-linear relationship was described using fitted smoothed curves and threshold effect analyses. Subgroup analysis and interaction tests were also conducted.

Results

This study included 2,592 older participants aged 60 years and older. After adjusting for confounding variables, the GNRI was positively associated with AFT (β = 0.05, 95% CI 0.005-0.096, p-value = 0.0285), DSST (β = 0.192, 95% CI 0.078-0.305, p-value = 0.0010) and the composite z-scores (β = 0.027, 95% CI 0.010-0.044, p-value = 0.0024). The results also showed that the high-GNRI group was significantly associated with AFT (β = 0.922, 95% CI 0.166-1.677, p-value = 0.0169), DSST (β = 2.791, 95% CI 0.884-4.698, p-value = 0.0042) and composite z-scores (β = 0.405, 95% CI 0.115-0.695, p-value = 0.0062) likewise had significant positive correlations, using the low-GNRI group as a reference. In addition, inflection points with CERAD and composite z-scores were found at GNRI of 108.016, and 105.371, respectively. Specifically, on the left side of the inflection point GNRI levels were positively correlated with CERAD and composite z-scores (CERAD β = 0.087, 95% CI 0.024-0.150, p-value = 0.0070; composite z-scores β = 0.065, 95% CI 0.040-0.091, p-value <0.0001), while on the right side of the inflection point were significantly negatively associated (CERAD β = -0.295, 95% CI -0.529 to -0.062, p-value = 0.0133, composite z-scores β = -0.050, 95% CI -0.091 to -0.008, p-value = 0.0184).

Conclusion

Lower GNRI was associated with poorer performance in several cognitive domains. Additionally, there was a non-linear positive association between GNRI and cognitive function in normal nutritional states, for excessive GNRI may cause cognitive decline.

Geriatric Nutritional Risk Index is associated with adverse outcomes in patients with hypertension: the Fukushima Cohort study

Malnutrition is reportedly associated with adverse clinical outcomes in various populations. However, associations between nutritional status and adverse outcomes in patients with hypertension have not been sufficiently elucidated. We therefore aimed to investigate the impact of nutritional status as evaluated by the Geriatric Nutritional Risk Index (GNRI) on adverse outcomes in patients with hypertension. We conducted a retrospective cohort study of 1588 hypertensive patients enrolled in the Fukushima Cohort Study. Participants were categorized into tertiles (T1-T3) according to GNRI at baseline. The primary endpoint of the present study was a kidney event, defined as a combination of a 50% decline in eGFR from baseline and end-stage kidney disease requiring kidney replacement therapy. Associations between GNRI and kidney events were assessed using Kaplan-Meier curves and multivariate Cox regression analyses. Median age was 64 years, 55% were men, median eGFR was 63.1 mL/min/1.73 m2, and median GNRI was 101.3. The lower GNRI group (T1) showed an increased incidence of kidney events in the Kaplan-Meier curve analysis. Compared to the highest GNRI group (T3), lower GNRI carried a higher risk of kidney events for both T2 (hazard ratio [HR] 1.38, 95% confidence interval [CI] 0.71-2.68) and T1 (HR 3.59, 95%CI 1.96-6.63). Similar relationships were observed for risks of all-cause death and cardiovascular events. Lower GNRI was associated with kidney events, all-cause death, and cardiovascular events in patients with hypertension. Nutritional status as evaluated by GNRI could offer a simple and useful predictor of adverse outcomes in this population.

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in older adults with hyperlipidemia: NHANES 1999-2018

BACKGROUND

Malnutrition is linked to a higher risk of unfavorable outcomes in various illnesses. The present investigation explored the correlation between inadequate nutritional condition and outcomes in older individuals diagnosed with hyperlipidemia.

METHODS

The geriatric nutritional risk index (GNRI) was used to evaluate the nutritional status. All patients were divided into two groups according to GNRI. A Kaplan-Meier analysis was used to assess the survival rates of different groups at risk of malnutrition. In addition, GNRI was used in COX proportional risk regression models to evaluate its predictive effect on both overall mortality and cardiovascular mortality among patients with hyperlipidemia. Furthermore, the study employed restricted cubic splines (RCS) to examine the nonlinear correlation between GNRI and mortality.

RESULTS

The study included 4,532 elderly individuals diagnosed with hyperlipidemia. During a median follow-up duration of 139 months, a total of 1498 deaths from all causes and 410 deaths from cardiovascular causes occurred. The Kaplan-Meier analysis demonstrated significantly poorer survival among individuals at risk of malnutrition, as indicated by the GNRI. In the malnutrition risk group, the modified COX proportional hazards model revealed that a decrease in GNRI was associated with a higher risk of all-cause mortality (HR=1.686, 95% CI 1.212-2.347) and cardiovascular mortality (HR=3.041, 95% CI 1.797-5.147). Furthermore, the restricted cubic splines revealed a non-linear association between GNRI and both all-cause mortality and cardiovascular mortality (p-value for non-linearity = 0.0039, p-value for non-linearity=0.0386).

CONCLUSIONS

In older patients with hyperlipidemia, lower levels of GNRI are associated with mortality. The GNRI could potentially be used to predict all-cause mortality and cardiovascular mortality.

Geriatric nutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors: NHANES 2001-2018

Background

Malnutrition is strongly correlated with worsened treatment outcomes, reduced standard of living, and heightened mortality rates among individuals with cancer. Our research explores how the Geriatric Nutritional Risk Index (GNRI), a measure of nutritional status, relates to all-cause mortality, cancer-specific, and non-cancer mortality among middle-aged and older adult cancer patients.

Methods

We enrolled 3,253 participants aged 40 and above who were diagnosed with cancer. The data was obtained from the National Health and Nutrition Examination Survey (NHANES) dataset covering the period from 2001 to 2018, with a median follow-up duration of 83 months. According to the GNRI levels, patients in the study were classified into two distinct groups: the group with a low GNRI (<98) and the group with a high GNRI (≥ 98). We conducted a Kaplan-Meier survival analysis to assess how survival rates vary with different nutritional conditions. Multivariable Cox regression analyses were performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality, as well as cancer-specific and non-cancer-related mortality. Restricted cubic spline (RCS) analyses and subgroup evaluations were performed to augment the robustness and validity of our findings.

Results

A total of 1,171 deaths were documented, with 383 attributed to cancer, and 788 from other causes. After adjusting for potential confounders, the analysis demonstrated that, within a specified range, an elevation in the GNRI is inversely associated with mortality from all causes, cancer-specific, and non-cancer causes. Moreover, Kaplan-Meier survival curves for all-cause, cancer-specific, and non-cancer mortality distinctly showed a more pronounced decrease in survival rates among individuals in the low GNRI group (<98). Notably, the restricted cubic spline regression model (RCS) revealed statistically significant non-linear associations between GNRI scores and mortality rates. The P-values were ≤0.001 for both all-cause and non-cancer mortality, and 0.024 for cancer-specific mortality.

Conclusion

Our study conclusively demonstrated a robust correlation between GNRI scores and mortality rates among cancer patients, encompassing all-cause mortality as well as specific mortality related to both cancerous and non-cancerous causes. The GNRI may be a valuable prognostic tool for predicting cancer mortality outcomes, offering insights that may inform nutritional management and influence the clinical treatment strategies for cancer survivors.

Geriatric nutritional risk index as a predictor for fragility fracture risk in elderly with type 2 diabetes mellitus: A 9-year ambispective longitudinal cohort study

BACKGROUND & AIMS

The elderly are prone to fragility fractures, especially those suffering from type 2 diabetes mellitus (T2DM) combined with osteoporosis. Although studies have confirmed the association between GNRI and the prevalence of osteoporosis, the relationship between GNRI and fragility fracture risk and the individualized 10-year probability of osteoporotic fragility fractures estimated by FRAX remains unclear. This study aims to delve into the association between the GNRI and a fragility fracture and the 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) evaluated by FRAX in elderly with T2DM.

METHODS

A total of 580 patients with T2DM aged ≥60 were recruited in the study from 2014 to 2023. This research is an ambispective longitudinal cohort study. All participants were followed up every 6 months for 9 years with a median of 3.8 years through outpatient services, medical records, and home fixed-line telephone interviews. According to the tertiles of GNRI, all subjects were divided into three groups: low-level (59.72-94.56, n = 194), moderate-level (94.56-100.22, n = 193), and high-level (100.22-116.45, n = 193). The relationship between GNRI and a fragility fracture and the 10-year probability of HF and MOF calculated by FRAX was assessed by receiver operating characteristic (ROC) analysis, Spearman correlation analyses, restricted cubic spline (RCS) analyses, multivariable Cox regression analyses, stratified analyses, and Kaplan-Meier survival analysis.

RESULTS

Of 580 participants, 102 experienced fragile fracture events (17.59%). ROC analysis demonstrated that the optimal GNRI cut-off value was 98.58 with a sensitivity of 75.49% and a specificity of 47.49%, respectively. Spearman partial correlation analyses revealed that GNRI was positively related to 25-hydroxy vitamin D [25-(OH) D] (r = 0.165, P < 0.001) and bone mineral density (BMD) [lumbar spine (LS), r = 0.088, P = 0.034; femoral neck (FN), r = 0.167, P < 0.001; total hip (TH), r = 0.171, P < 0.001]; negatively correlated with MOF (r = -0.105, P = 0.012) and HF (r = -0.154, P < 0.001). RCS analyses showed that GNRI was inversely S-shaped dose-dependent with a fragility fracture event (P < 0.001) and was Z-shaped with the 10-year MOF (P = 0.03) and HF (P = 0.01) risk assessed by FRAX, respectively. Multivariate Cox regression analysis demonstrated that compared with high-level GNRI, moderate-level [hazard ratio (HR) = 1.950; 95% confidence interval (CI) = 1.076-3.535; P = 0.028] and low-level (HR = 2.538; 95% CI = 1.378-4.672; P = 0.003) had an increased risk of fragility fracture. Stratified analysis exhibited that GNRI was negatively correlated with the risk of fragility fracture, which the stratification factors presented in the forest plot were not confounding factors and did not affect the prediction effect of GNRI on the fragility fracture events in this overall cohort population (P for interaction > 0.05), despite elderly females aged ≥70, with body mass index (BMI) ≥24, hypertension, and with or without anemia (all P < 0.05). Kaplan-Meier survival analysis identified that the lower-level GNRI group had a higher cumulative incidence of fragility fractures (log-rank, all P < 0.001).

CONCLUSION

This study confirms for the first time that GNRI is negatively related to a fragility fracture and the 10-year probability of osteoporotic fragility fractures assessed by FRAX in an inverse S-shaped and Z-shaped dose-dependent pattern in elderly with T2DM, respectively. GNRI may serve as a valuable predictor for fragility fracture risk in elderly with T2DM. Therefore, in routine clinical practice, paying attention to the nutritional status of the elderly with T2DM and giving appropriate dietary guidance may help prevent a fragility fracture event.

Associations of postoperative outcomes with geriatric nutritional risk index after conventional and robotic-assisted total knee arthroplasty: a randomized controlled trial

BACKGROUND

The association between postoperative outcomes of robotic-assisted total knee arthroplasty (RA-TKA) and nutrition status among elderly adults remained unclear. The authors aimed to evaluate these associations and provide a nutrition status reference for the surgical technique selection of TKA.

METHODS

In the present study, the authors used data from a multicenter, prospective, randomized controlled project, which recruited patients underwent TKA therapy. A total of 88 elderly adults (age ≥65 years old) were included in this study. Their preoperative and postoperative demographic data and radiographic parameters were collected. Clinical outcomes, including postoperative hip-knee-ankle (HKA) angle deviation, knee society score (KSS), 10 cm visual analog scale, and so on, were observed and compared between the RA-TKA group and the conventional TKA group. Logistic regression was performed to adjust several covariates. In addition, according to the results of restricted cubic splines analyses, all participants were categorized into two groups with GNRI≤100 and GNRI >100 for further subgroup analyses.

RESULTS

Our results showed despite having a lower postoperative HKA angle deviation, the RA-TKA group had a similar postoperative KSS score compared with the conventional TKA group in elderly adults. Among elderly patients with GNRI>100, RA-TKA group achieved significantly more accurate alignment (HKA deviation, P =0.039), but did not obtain more advanced postoperative KSS scores because of the compensatory effect of good nutrition status. However, among elderly patients with GNRI≤100, RA-TKA group had significantly higher postoperative KSS scores compared to the conventional TKA group ( P =0.025) and this association were not altered after adjustment for other covariates.

CONCLUSION

Considering the clinical outcomes of conventional TKA may be more susceptible to the impact of nutrition status, elderly patients with GNRI≤100 seem to be an applicable population for RA-TKA, which is more stable and would gain significantly more clinical benefits compared with conventional TKA.

Development and Validation of a Nomogram Model for Individualizing the Risk of Osteopenia in Abdominal Obesity

OBJECTIVE

This study was aimed to create and validate a risk prediction model for the incidence of osteopenia in individuals with abdominal obesity.

METHODS

Survey data from the National Health and Nutrition Examination Survey (NHANES) database for the years 2013-2014 and 2017-2018 was selected and included those with waist circumferences ≥102 m in men and ≥88 cm in women, which were defined as abdominal obesity. A multifactor logistic regression model was constructed using LASSO regression analysis to identify the best predictor variables, followed by the creation of a nomogram model. The model was then verified and evaluated using the consistency index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, and decision curve analysis (DCA). Results Screening based on LASSO regression analysis revealed that sex, age, race, body mass index (BMI), alkaline phosphatase (ALP) and Triglycerides (TG) were significant predictors of osteopenia development in individuals with abdominal obesity (P < 0.05). These six variables were included in the nomogram. In the training and validation sets, the C indices were 0.714 (95 % CI: 0.689-0.738) and 0.701 (95 % CI: 0.662-0.739), respectively, with corresponding AUCs of 0.714 and 0.701. The nomogram model exhibited good consistency with actual observations, as demonstrated by the calibration curve. The DCA nomogram showed that early intervention for at-risk populations has a net positive impact.

CONCLUSION

Sex, age, race, BMI, ALP and TG are predictive factors for osteopenia in individuals with abdominal obesity. The constructed nomogram model can be utilized to predict the clinical risk of osteopenia in the population with abdominal obesity.

Preoperative nutritional optimization for adult spinal deformity: Review

PURPOSE

The main objective of this review article is to examine the role that nutrition has on adult spinal deformity. The information presented in this review aims to provide spine surgeons with a broad overview of screening, assessment, and interventional strategies that may be used for presurgical nutritional optimization.

METHODS

A comprehensive literature review utilizing three biomedical databases was performed to generate articles of interest. Published articles related to nutrition, adult spinal deformity, spine surgery and orthopaedics were reviewed for the composition of this article. Nutrition may play a role in optimizing postoperative outcomes following adult spinal deformity surgeries, such as limiting delirium, length of stay, blood transfusion, and other medical complications. The use of screening tools, such as the PNI and CONUT score can assess preoperative nutritional status and may provide some utility in evaluating nutrition status in patients undergoing deformity surgery. Balancing both macronutrients and micronutrients, notably, carbohydrates, protein, albumin, and vitamin D can play a role in preoperative optimization.

CONCLUSION

Adult spinal deformity patients are at an increased risk for malnutrition. These patients should be assessed for nutrition status to prime them for surgery, minimize complications, and maximize their outcomes. However, further studies are needed to determine how nutrition ultimately affects adult spinal deformity patients in the postoperative period and to establish specific nutritional recommendations for this unique population.

Association between geriatric nutritional risk index and depression prevalence in the elderly population in NHANES

BACKGROUND

The prevalence of depression is increasing in the elderly population, and growing evidence suggests that malnutrition impacts mental health. Despites, research on the factors that predict depression is limited.

METHODS

We included 2946 elderly individuals from National Health and Nutrition Examination Survey (NHANES) spanning the years 2011 through 2014. Depressive symptoms were assessed using the PHQ-9 scale. Multinomial logistic regression was performed to evaluate the independent association between Geriatric Nutritional Risk Index (GNRI) and depression prevalence and scores. Subgroup analysis was conducted to explore potential factors influencing the negative correlation between GNRI and depression. Restricted cubic spline graph was employed to examine the presence of a non-linear relationship between GNRI and depression.

RESULTS

The depression group had a significantly lower GNRI than the non-depression group, and multivariate logistic regression showed that GNRI was a significant predictor of depression (P < 0.001). Subgroup analysis revealed that certain demographic characteristics were associated with a lower incidence of depression in individuals affected by GNRIs. These characteristics included being female (P < 0.0001), non-Hispanic black (P = 0.0003), having a moderate BMI (P = 0.0005), having a college or associates (AA) degree (P = 0.0003), being married (P = 0.0001), having a PIR between 1.50 and 3.49 (P = 0.0002), being a former smoker (P = 0.0002), and having no history of cardiovascular disease (P < 0.0001), hypertension (P < 0.0001), and diabetes (P = 0.0027). Additionally, a non-linear negative correlation (non-linear P < 0.01) was found between GNRI and depression prevalence, with a threshold identified at GNRI = 104.17814.

CONCLUSION

The GNRI demonstrates efficacy as a reliable indicator for forecasting depression in the elderly population. It exhibits a negative nonlinear correlation with the prevalence of depression among geriatric individuals.

Effect of immunology biomarkers associated with hip fracture and fracture risk in older adults

Osteoporosis is a skeletal disease that can increase the risk of fractures, leading to adverse health and socioeconomic consequences. However, current clinical methods have limitations in accurately estimating fracture risk, particularly in older adults. Thus, new technologies are necessary to improve the accuracy of fracture risk estimation. In this observational study, we aimed to explore the association between serum cytokines and hip fracture status in older adults, and their associations with fracture risk using the FRAX reference tool. We investigated the use of a proximity extension assay (PEA) with Olink. We compared the characteristics of the population, functional status and detailed body composition (determined using densitometry) between groups. We enrolled 40 participants, including 20 with hip fracture and 20 without fracture, and studied 46 cytokines in their serum. After conducting a score plot and two unpaired t-tests using the Benjamini-Hochberg method, we found that Interleukin 6 (IL-6), Lymphotoxin-alpha (LT-α), Fms-related tyrosine kinase 3 ligand (FLT3LG), Colony stimulating factor 1 (CSF1), and Chemokine (C-C motif) ligand 7 (CCL7) were significantly different between fracture and non-fracture patients (p < 0.05). IL-6 had a moderate correlation with FRAX (R2 = 0.409, p < 0.001), while CSF1 and CCL7 had weak correlations with FRAX. LT-α and FLT3LG exhibited a negative correlation with the risk of fracture. Our results suggest that targeted proteomic tools have the capability to identify differentially regulated proteins and may serve as potential markers for estimating fracture risk. However, longitudinal studies will be necessary to validate these results and determine the temporal patterns of changes in cytokine profiles.

Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database

BACKGROUND

The purpose of this study was to verify the accuracy and validity of using machine learning (ML) to select risk factors, to discriminate differences in feature selection by ML between men and women, and to develop predictive models for patients with osteoporosis in a big database.

METHODS

The data on 968 observed features from a total of 3,484 the Korea National Health and Nutrition Examination Survey participants were collected. To find preliminary features that were well-related to osteoporosis, logistic regression, random forest, gradient boosting, adaptive boosting, and support vector machine were used.

RESULTS

In osteoporosis feature selection by 5 ML models in this study, the most selected variables as risk factors in men and women were body mass index, monthly alcohol consumption, and dietary surveys. However, differences between men and women in osteoporosis feature selection by ML models were age, smoking, and blood glucose level. The receiver operating characteristic (ROC) analysis revealed that the area under the ROC curve for each ML model was not significantly different for either gender.

CONCLUSIONS

ML performed a feature selection of osteoporosis, considering hidden differences between men and women. The present study considers the preprocessing of input data and the feature selection process as well as the ML technique to be important factors for the accuracy of the osteoporosis prediction model.

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in elderly hypertensive population: NHANES 1999-2016

Background

Hypertension is a major risk factor for the global burden of disease, and nutrition is associated with an increased risk of mortality from multiple diseases. Few studies have explored the association of nutritional risk with all-cause mortality and cardiovascular mortality in hypertension, and our study aims to fill this knowledge gap.

Method

We included data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2016 on a total of 10,037 elderly patients with hypertension. The nutritional status was evaluated using the Geriatric Nutrition Risk Index (GNRI). Kaplan-Meier survival analysis was performed to analyze the survival rates of different nutritional risk groups. COX proportional risk regression models were used to analyze the predictive effect of GNRI on all-cause mortality and cardiovascular mortality in hypertensive patients. Restricted cubic splines (RCS) were used to explore the nonlinear relationship between GNRI and mortality.

Result

The mean age of the hypertensive patients was 70.7 years. A total of 4255 (42.3%) all-cause mortality and 1207 (17.2%) cardiovascular mortality occurred during a median follow-up period of 106 months. Kaplan-Meier showed a more significant reduction in survival for the moderate to severe malnutrition risk of GNRI. The adjusted COX proportional hazards model showed that the hazard ratios for all-cause mortality and cardiovascular mortality in the moderate to severe malnutrition risk group for GNRI were 2.112 (95% CI, 1.377,3.240) and 2.604 (95% CI, 1.603,4.229), respectively. The RCS showed that increased GNRI was associated with a reduced risk of all-cause mortality and cardiovascular mortality risk reduction.

Conclusion

Malnutrition exposure assessed by GNRI effectively predicts the risk of all-cause mortality and cardiovascular mortality in the elderly with hypertension.

Geriatric Nutrition Risk Index as a predictor of cardiovascular and all-cause mortality in older Americans with diabetes

BACKGROUND AND AIMS

Few studies have examined the relationship between malnutrition, as defined by the Geriatric Nutrition Risk Index (GNRI), and all-cause mortality and cardiovascular mortality events, particularly in persons with diabetes. The study aimed at the association between GNRI and all-cause mortality and cardiovascular mortality in older Americans with diabetes.

METHODS

Data from this retrospective study were obtained from the National Health and Nutrition Examination (NHANES) 1999-2016. Using data from The NHANES Public-Use Linked Mortality Files to assess all-cause mortality (ACM) and cardiovascular mortality (CVM). After excluding participants younger than 60 years and without diabetes, and with missing follow-up data, 4400 cases were left in this study. Persons with diabetes were divided by GNRI into 3 groups: GNRI ≥ 98; 92 ≤ GNRI < 98; and GNRI < 92; (No; Low; Moderate/Severe (M/S) group). We used Cox proportional hazard regression model to explore the predictive role of GNRI on ACM and CVM in elderly persons with diabetes. Restricted cubic splines to investigate the existence of a dose-response linear relationship between them.

RESULT

During a median follow-up period of 89 months, a total of 538 (12.23%) cardiovascular deaths occurred and 1890 (42.95%) all-cause deaths occurred. Multifactorial COX regression analysis showed all-cause mortality (hazard ratio [HR]: 2.58, 95% CI: 1.672-3.994, p < 0.001) and cardiovascular mortality (HR: 2.29, 95% CI: 1.063-4.936, p = 0.034) associated with M/S group risk of malnutrition in GNRI compared to no group. A negative association between GNRI and all-cause mortality was observed across gender and ethnicity. However, the same negative association between GNRI and cardiovascular mortality was observed only for males (HR:0.94, 95% CI:0.905-0.974, p < 0.001) and other races (HR:0.92, 95% CI:0.861-0.976, p = 0.007). And there was no significant correlation between low malnutrition and cardiovascular mortality (p = 0.076). Restricted cubic splines showed a nonlinear relationship between GNRI and all-cause mortality and cardiovascular mortality (non-linear p < 0.001, non-linear p = 0.019).

CONCLUSIONS

Lower GNRI levels are associated with mortality in older patients with diabetes. GNRI may be a predictor of all-cause mortality and cardiovascular mortality risk in older patients with diabetes.