OBJECTIVE This study investigated the clinical implications of endothelial cell-specific molecule 1(ESM-1)in obstructive sleep apnea(OSA)patients,with particular focus on its dynamic correlation with adhesion molecules,aiming to elucidate the regulatory role of ESM-1 in OSA-associated vascular endothelial impairment.METHODS This cross-sectional study enrolled participants undergoing polysomnography(PSG)at the Sleep Medicine Center of Beijing Anzhen Hospital,Capital Medical University between March 2017 and January 2018.Based on the inclusion criteria,161 participants were ultimately included and divided into OSA group(n=118)and control group(n=43).Demographic data and polysomnography parameters were collected.We used a powerful high-throughput Multiplex Immunobead Assay technology to simultaneously test plasm cytokines levels of ESM-1,inter-cellular adhesion molecule 1(ICAM-1),vascular cell adhesion molecule 1(VCAM-1).Circulating C-reactive protein(CRP)and homocysteine(Hcy)were detected by routine blood chemistry panel.RESULTS Circulating ESM-1 levels were significantly elevated in patients with OSA compared with healthy controls[819.73(612.36-1393.47)pg/ml]vs.[286.17(114.48-513.81)pg/ml,P<0.001].After adjusting for confounding factors,we found that circulating ESM-1 levels were an independent risk factor for OSA(odds ratio=2.162,95%CI=1.522-3.072,P<0.001)and circulating ESM-1 levels were positively associated with ICAM-1 and VCAM-1 levels(β=1.977,95%CI=1.429-2.734,P<0.001).CONCLUSION Circulating ESM-1 levels were significantly increased in patients with OSA,which is closely related with adhesion molecules levels.ESM-1 may be a surrogate endothelial dysfunction marker and an independent risk factor for OSA.

Objective:To systematically evaluate studies validating the performance of the Global Leadership Initiative on Malnutrition (GLIM) in diagnosing malnutrition.Methods:Seven Chinese and English databases including Embase, Web of Science (WOS), PubMed, CINAHL, Cochrane Library, SinoMed, CNKI, Wanfang Data, and VIP Database were searched for articles on the validation of GLIM criteria published between September 2018 and September 2024. Two researchers independently performed literature screening and data extraction. The concurrent and predictive validity of the criteria was analyzed.Results:A total of 136 papers were included for analysis. The GLIM criteria for diagnosing malnutrition had a sensitivity of 77%, a specificity of 87%, and an area under the curve (AUC) of 0.90. Malnutrition diagnosed by the GLIM criteria predicted prolonged hospital and intensive care unit (ICU) stays, increased readmission and complication rates (both overall and infectious), reduced survivals (median, overall, and disease-free), and increased in-hospital and follow-up mortalities. Both moderate and severe malnutrition predicted decreased overall survival. However, only three studies analyzed the impact of nutritional therapy on the clinical outcomes of malnourished patients.Conclusions:The GLIM criteria accurately differentiate malnutrition and are a valid predictive tool of clinical outcomes. However, the validity criteria in these validation studies were questionable, along with high methodological heterogeneity. Furthermore, there is a lack of studies validating the role of nutritional therapy in improving the clinical outcomes of malnourished patients.

Objective:To systematically evaluate studies validating the performance of the Global Leadership Initiative on Malnutrition (GLIM) in diagnosing malnutrition.Methods:Seven Chinese and English databases including Embase, Web of Science (WOS), PubMed, CINAHL, Cochrane Library, SinoMed, CNKI, Wanfang Data, and VIP Database were searched for articles on the validation of GLIM criteria published between September 2018 and September 2024. Two researchers independently performed literature screening and data extraction. The concurrent and predictive validity of the criteria was analyzed.Results:A total of 136 papers were included for analysis. The GLIM criteria for diagnosing malnutrition had a sensitivity of 77%, a specificity of 87%, and an area under the curve (AUC) of 0.90. Malnutrition diagnosed by the GLIM criteria predicted prolonged hospital and intensive care unit (ICU) stays, increased readmission and complication rates (both overall and infectious), reduced survivals (median, overall, and disease-free), and increased in-hospital and follow-up mortalities. Both moderate and severe malnutrition predicted decreased overall survival. However, only three studies analyzed the impact of nutritional therapy on the clinical outcomes of malnourished patients.Conclusions:The GLIM criteria accurately differentiate malnutrition and are a valid predictive tool of clinical outcomes. However, the validity criteria in these validation studies were questionable, along with high methodological heterogeneity. Furthermore, there is a lack of studies validating the role of nutritional therapy in improving the clinical outcomes of malnourished patients.

Objective:To translate the Short Self-Regulation Questionnaire (SSRQ) into Chinese, and test its reliability and validity in breast cancer patients.Methods:Using the Brislin translation model, cross-cultural adaptation was conducted by combining expert consultation and a pre-survey on SSRQ. From August to December 2023, 324 breast cancer patients from Department of Breast Surgery of Peking University First Hospital were selected by convenience sampling to test the reliability and validity of SSRQ.Results:A total of 324 questionnaires were distributed and 307 valid questionnaires were recovered, with an effective recovery rate of 94.75% (307/324). The final questionnaire consisted of 30 items. The content validity index at the item level ranged from 0.80 to 1.00, and the content validity index at the scale level was 0.97. The predictive validity result showed a good model fit. The Cronbach's α coefficient for the questionnaire was 0.90, the folded reliability coefficient was 0.85, and the retest reliability coefficient was 0.79.Conclusions:SSRQ has good reliability and validity in breast cancer patients and has value for clinical promotion.

Objective:To conduct a systematic review of risk prediction models for enteral feeding intolerance in ICU patients.Methods:Relevant literature was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, VIP, PubMed, Web of Science, Cochrane Library, Embase, CINAHL, and Scopus, with search limits from the establishment of the databases up to July 24, 2024. Two researchers independently screened the literature and extracted data, using Prediction model Risk Of Bias ASsessment Tool to evaluate the quality of the included studies.Results:A total of 12 studies were included, which included 20 prediction models. The area under the receiver operating characteristic curve or C-index for these models ranged from 0.70 to 0.94. The overall bias risk of the 12 studies was high, with three studies having good applicability. The bias risk primarily stemmed from issues such as measurement of prediction factors, variable handling, sample size, outcome definition, and model performance evaluation.Conclusions:Existing risk prediction models for enteral feeding intolerance in ICU patients exhibit a high risk of bias. Further validation, optimization, or development of new models is required in the future.

Objective:To translate the Short Self-Regulation Questionnaire (SSRQ) into Chinese, and test its reliability and validity in breast cancer patients.Methods:Using the Brislin translation model, cross-cultural adaptation was conducted by combining expert consultation and a pre-survey on SSRQ. From August to December 2023, 324 breast cancer patients from Department of Breast Surgery of Peking University First Hospital were selected by convenience sampling to test the reliability and validity of SSRQ.Results:A total of 324 questionnaires were distributed and 307 valid questionnaires were recovered, with an effective recovery rate of 94.75% (307/324). The final questionnaire consisted of 30 items. The content validity index at the item level ranged from 0.80 to 1.00, and the content validity index at the scale level was 0.97. The predictive validity result showed a good model fit. The Cronbach's α coefficient for the questionnaire was 0.90, the folded reliability coefficient was 0.85, and the retest reliability coefficient was 0.79.Conclusions:SSRQ has good reliability and validity in breast cancer patients and has value for clinical promotion.

Objective:To conduct a systematic review of risk prediction models for enteral feeding intolerance in ICU patients.Methods:Relevant literature was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, VIP, PubMed, Web of Science, Cochrane Library, Embase, CINAHL, and Scopus, with search limits from the establishment of the databases up to July 24, 2024. Two researchers independently screened the literature and extracted data, using Prediction model Risk Of Bias ASsessment Tool to evaluate the quality of the included studies.Results:A total of 12 studies were included, which included 20 prediction models. The area under the receiver operating characteristic curve or C-index for these models ranged from 0.70 to 0.94. The overall bias risk of the 12 studies was high, with three studies having good applicability. The bias risk primarily stemmed from issues such as measurement of prediction factors, variable handling, sample size, outcome definition, and model performance evaluation.Conclusions:Existing risk prediction models for enteral feeding intolerance in ICU patients exhibit a high risk of bias. Further validation, optimization, or development of new models is required in the future.

Objective:To systematically appraise and summarize existing evidence on enteral nutrition in patients receiving radiotherapy for head and neck cancer.Methods:Based on the 6S Pyramid of Evidence-based Resources, a systematic search was conducted to identify guidelines, expert consensuses, and evidence summaries related to enteral nutrition for radiotherapy patients with head and neck cancer published from January 2018 to September 2023. The search covered relevant websites of guidelines, websites of academic societies, and databases (in Chinese and English). Literature screening, quality assessment, and data extraction were performed independently by the researchers.Results:A total of 19 studies were included, consisting of 10 guidelines, 7 expert consensuses, and 2 evidence summaries. Four aspects and 67 items of best evidence on organizational management, nutritional screening and assessment, enteral nutritional intervention programs, and monitoring and follow-up were summarized.Conclusion:This study summarized the best evidence for enteral nutrition in patients receiving radiotherapy for head and neck cancer, which can inform the standardized nutritional management and promote the translation of evidence-based knowledge into practice.

Objective:To summarize the evidence on nutritional management for elderly cancer patients domestically and internationally.Methods:Literature on nutritional management of elderly cancer patients was systematically searched on databases and websites such as British Medical Journal (BMJ) Best Practice, UpToDate, Guidelines International Network, Agency for Healthcare Research and Quality, Cochrane Library, Web of Science, Embase, PubMed, China National Knowledge Infrastructure, WanFang Data, National Comprehensive Cancer Network and American Cancer Society. The search period was from January 2018 to February 2023. Three researchers evaluated the quality of the included literature, while two researchers extracted and summarized evidence.Results:A total of 10 articles were included, including two clinical decisions, four guidelines, one expert consensus, one evidence summary, and two systematic reviews. A total of 32 pieces of evidence were summarized from three aspects, consisting of nutritional risk screening and assessment, nutritional education or counseling, and nutritional intervention.Conclusions:This study summarizes the best evidence for nutritional management in elderly cancer patients. It is recommended that medical and nursing staff apply evidence based on clinical situations and patient preferences.

Objective To present a novel method based on the image enhancement algorithm and deep learning for automatically classifying diabetic retinopathy images,and realizing the graded classification of fundus lesions.Methods An improved Retinex image enhancement algorithm was employed to preprocess the original images for significantly improving image quality and visual effect,and enhancing image clarity and contrast.Then,deep learning method was used to automatically detect and classify the degree of lesions in different periods.Results The proposed method was advantageous in improving classification accuracy,sensitivity,and specificity which were 5.4%,7.4%,and 16.6%higher than those of traditional Retinex method.Conclusion The proposed method can effectively realize the automatic detection and classification of diabetic retinopathy,which is helpful to enhance diagnostic accuracy and efficiency.