Normal reference intervals of prognostic nutritional index in healthy adults: A large multi-center observational study from Western China

Malnutrition is associated with mortality in Sjögren's syndrome-associated interstitial lung disease

The role of nutritional status as a prognostic factor in patients with Sjögren's syndrome-associated interstitial lung disease (SjS-ILD) is currently unclear. This study aimed to predict the prognosis of patients with SjS-ILD through their nutritional status assessment. In this retrospective observational study, nutritional status was evaluated at the time of diagnosis using body mass index (BMI) and nutritional markers such as controlling nutritional status (CONUT), the Glasgow prognostic score (GPS), and prognostic nutrition index (PNI) for all participants. Receiver operating characteristic (ROC) analyses were performed using BMI and each nutritional marker data to compare the area under the ROC curve (AUC) and find the cutoff value using the maximum Youden index. Kaplan-Meier analysis and Cox proportional hazards regression analysis were performed to predict the prognosis of SjS-ILD patients. A total of 112 SjS-ILD patients were enrolled in the study, and 8.9% died during the follow-up period. The median time from diagnosis to follow-up period was 4.2 years. The AUC for PNI was the highest among nutritional markers and BMI, and PNI cutoff value was used to distinguish between the PNI < 47.7 and PNI ≥ 47.7 groups. A statistical difference was observed in the Kaplan-Meier analysis and log-rank test (p = 0.005). In multivariable analyses, PNI < 47.7 (hazard ratio 9.40, 95% confidence interval 1.54-57.21) is associated with increased mortality, suggesting the importance of early nutritional intervention for malnutrition in SjS-ILD patients.

Malnutrition significantly affected centenarian prognoses: A prospective study with 5-year follow-up

BACKGROUND

The world is currently facing a much-needed conundrum, and population aging has become an important worldwide problem. Appropriate nutritional intervention could prolong survival time and reduce mortality rate. However, scarce study has involved the effects of nutrition on survival time in centenarians and evaluated the malnutrition with prognostic nutritional index (PNI) in relation to healthy aging. This prospective study was designed to investigate the effects of malnutrition through PNI assessment on mortality rate and survival time with 5-year follow-up in Chinese centenarians.

METHODS

A household survey was conducted on the centenarians in 18 cities and counties of Hainan province, and malnutrition was evaluated by PNI as an effective tool in 423 centenarians followed up for 5-year.

RESULTS

Prevalence of malnutrition was 19.4%. Body mass index (BMI) was significantly lower and malnutrition was significantly more in the dead group than those in the survival group (all P < 0.05). Multivariate Cox regression analysis indicated that BMI [Hazard ratio (HR): 0.913; 95%CI: 0.854-0.977] negatively affected mortality rate, whereas malnutrition (HR: 2.630; 95%CI:1.474-4.695) positively affected mortality rate in centenarians (all P < 0.05). When BMI was <18.5 kg/m2, malnutrition (HR: 4.401; 95%CI: 1.948-9.943) also positively affected mortality rate (P < 0.05).

CONCLUSIONS

This prospective study with 5-year follow-up demonstrated that malnutrition had positive effect on mortality rate, especially when BMI was lower than 18.5 kg/m2, in Chinese centenarians. In order to reduce mortality rate and prolong survival time, it is essential to pay attention to malnutrition in elderly population.

Malnutrition Is Associated with Diabetic Retinopathy in Patients with Type 2 Diabetes

Background

The relationship between malnutrition and diabetic retinopathy (DR) is still unclear. The purpose of this study is to investigate the relationship between malnutrition and DR in type 2 diabetic patients.

Methods

A cross-sectional study was conducted on 612 patients with type 2 diabetes mellitus. Four malnutrition assessment tools: Global Leadership Initiative on Malnutrition (GLIM) criteria, controlling nutritional status (CONUT), nutritional risk index (NRI), and prognostic nutritional index (PNI), were applied to assess the nutritional status of the study population. The association between malnutrition and DR was examined using multivariable logistic regression and ordered logistic regression.

Results

The proportion of malnutrition varied from 10.0% to 34.3% in total patients and from 16.3% to 45.1% in DR patients across the assessment tools. DR patients were more likely to be malnourished than patients without DR. The adjusted odds ratios (aOR) and 95% confidence interval (CI) for DR of malnutrition defined by different tools were 1.86 (1.01-3.14) for GLIM criteria, 1.67 (1.04-2.70) for NRI, and 2.24 (1.07-4.69) for PNI. The aOR and 95% CI for the severity of DR of malnutrition defined by different tools were 1.99 (1.12-3.51) for GLIM criteria, 1.65 (1.06-2.58) for NRI, and 2.51 (1.31-4.79) for PNI.

Conclusions

Malnutrition was common in DR patients, and it was closely linked to the presence and severity of DR. Diabetic patients with DR should undergo nutritional assessment and early treatment of malnutrition to prevent the onset or progression of DR.

Prevalence and Prognostic Significance of Malnutrition in Patients with Abnormal Glycemic Status and Coronary Artery Disease: A Multicenter Cohort Study in China

This study sought to investigate the prevalence and prognostic significance of malnutrition in patients with an abnormal glycemic status and coronary artery disease (CAD). This secondary analysis of a multicenter prospective cohort included 5710 CAD patients with prediabetes and 9328 with diabetes. Four objective tools were applied to assess the nutritional status of the study population. The primary endpoint was all-cause death. The association of malnutrition with clinical outcomes was examined using Cox proportional hazards regression. The proportion of malnutrition varied from 8% to 57% across the assessment tools. Diabetic patients were more likely to be malnourished than prediabetic patients. During a median follow-up of 2.1 years, 456 all-cause deaths occurred. The adjusted hazard ratios and 95% confidence interval for all-cause deaths of moderate-severe malnutrition defined by different tools ranged from 1.59 (1.03, 2.46) to 2.08 (0.92, 4.73) in prediabetic patients and 1.51 (1.00, 2.34) to 2.41 (1.78, 3.27) in diabetic patients. In conclusion, malnutrition is not rare in CAD patients with abnormal glycemic status. Moderate-severe malnutrition strongly predicted all-cause death regardless of the assessment tool. Assessing the nutritional status for all CAD patients with prediabetes and diabetes to identify individuals at high risk of all-cause death may help the risk assessment and prognosis improvement.