Efficacy and safety of keto-supplemented low-protein diet on nutritional status of peritoneal-dialysis patients: a systematic review and meta-analysis of randomized controlled trials.

OBJECTIVE: The purpose of this meta-analysis is to evaluate the efficacy of a keto-supplemented low-protein diet (sLPD) in enhancing nutritional status among individuals undergoing peritoneal dialysis (PD) compared to a low-protein diet (LPD). MATERIALS AND METHODS: Studies from PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang Data were searched and reviewed up to January 2023. Randomized controlled trials (RCTs) were enrolled and analyzed using STATA MP 17. In this review, serum albumin (Alb), body mass index (BMI), and serum prealbumin (PA) were included for efficacy evaluation and serum calcium (CA) for safety evaluation. Potential heterogeneity was detected using subgroup analyses. RESULTS: 7 RCTs were included. Compared with LPD, sLPD can improve the Alb [Weighted Mean Difference (WMD)=4.16; 95% CI: 2.50, 5.83; p<0.0001), BMI [WMD=1.35; 95% CI: 0.59, 2.11; p<0.0001] and PA [WMD=0.07; 95% CI: 0.04, 0.10; p<0.0001] level of patients undergoing PD. Subgroup analyses showed that, although Alb had no difference with LPD within 12 months of PD duration, sLPD treatment could improve the levels of Alb and PA regardless of PD duration or course of treatment. sLPD can improve the BMI of patients with a PD duration of more than 24 months, regardless of the duration of treatment. CONCLUSIONS: A sLPD is an effective intervention for improving the nutritional status of PD patients. It is suggested that patients undergoing PD should initiate sLPD at the beginning of PD to ensure sufficient nutritional intake.

Distinguishing immune checkpoint inhibitor-related pneumonitis from radiation pneumonitis by CT radiomics features in non-small cell lung cancer.

PURPOSE: To develop a CT-based model to classify pneumonitis etiology in patients with non-small cell lung cancer(NSCLC) after radiotherapy(RT) and Immune checkpoint inhibitors(ICIs). METHODS: We retrospectively identified 130 NSCLC patients who developed pneumonitis after receipt of ICIs only (n = 50), thoracic RT only (n = 50) (ICIs only + thoracic RT only, the training cohort, n = 100), and RT + ICIs (the test cohort, n = 30). Clinical and CT radiomics features were described and compared between different groups. We constructed a random forest (RF) classifier and a linear discriminant analysis (LDA) classifier by CT radiomics to discern pneumonitis etiology. RESULTS: The patients in RT + ICIs group have more high grade (grade 3-4) pneumonitis compared to patients in ICIs only or RT only group (p < 0.05). Pneumonitis after the combined therapy was not a simple superposition mode of RT-related pneumonitis(RP) and ICI-related pneumonitis(CIP), resulting in the distinct characteristics of both RT and ICIs-related pneumonitis. The RF classifier showed favorable discrimination between RP and CIP with an area under the receiver operating curve (AUC) of 0.859 (95 %CI: 0.788-0.929) in the training cohort and 0.851 (95 % CI: 0.700-1) in the test cohort. The LDA classifier achieved an AUC of 0.881 (95 %CI: 0.815-0.947) in the training cohort and 0.842 (95 %CI: 0.686-0.997) in the test cohort. Our analysis revealed four principal CT-based features shared across both models:original_glrlm_LongRunLowGrayLevelEmphasis, wavelet-HLL_firstorder_Median, wavelet-LLL_ngtdm_Busyness， and wavelet-LLL_glcm_JointAverage. CONCLUSION: CT radiomics-based classifiers could provide a noninvasive method to identify the predominant etiology in NSCLC patients who developed pneumonitis after RT alone, ICIs alone or RT + ICIs.