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1.
Preoperative prognostic nutritional index value as a predictive factor for postoperative delirium in older adult patients with hip fractures: a secondary analysis.
Mi, X, Jia, Y, Song, Y, Liu, K, Liu, T, Han, D, Yang, N, Wang, G, Guo, X, Yuan, Y, et al
BMC geriatrics. 2024;(1):21
Abstract
BACKGROUND Malnutrition is a common geriatric syndrome and can be targeted preoperatively to decrease the risk of postoperative delirium (POD) in older adult patients. To analyze the value of the prognostic nutritional index (PNI) to predict the incidence of POD in older adult patients with hip fractures. METHODS This was a prospective, observational, cohort study of older adult patients with hip fractures. Preoperative PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/μL) using preoperative laboratory results. Patients were divided into POD and non-POD groups using the Confusion Assessment Method (CAM). The risk factors associated with POD as well as the relationship between PNI values and the incidence of POD were analyzed using univariate and multivariate logistic regression analyses. The predictive value of PNI for POD was assessed using receiver operating characteristic curve analysis. RESULTS In this cohort of 369 patients who underwent hip fracture surgery, 67 patients (18.2%) were diagnosed with POD by the CAM results. Low PNI increased the risk of POD (odds ratio (OR) = 0.928, 95% confidence interval (CI): 0.864-0.997). General anesthesia (OR = 2.307, 95% CI: 1.279-4.162) and Mini-Mental State Examination (MMSE) score (OR = 0.956, 95% CI: 0.920-0.994) were also identified as risk factors for POD. Receiver operating characteristic curve analysis suggested that PNI combined with the anesthetic method and MMSE score may be used as a potential predictive indicator of POD after hip fracture surgery. CONCLUSION Preoperative PNI value is related to POD in older adult patients with hip fractures. TRIAL REGISTRATION This secondary analysis study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (approval No. M2022578) and registered in the Chinese Clinical Trial Registry (ChiCTR2300070569).
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2.
Association of possible sarcopenia with all-cause mortality in patients with solid cancer: A nationwide multicenter cohort study.
Yin, L, Song, C, Cui, J, Lin, X, Li, N, Fan, Y, Zhang, L, Liu, J, Chong, F, Cong, M, et al
The journal of nutrition, health & aging. 2024;(1):100023
Abstract
OBJECTIVES The concept of possible sarcopenia (PS) was recently introduced to enable timely intervention in settings without the technologies required to make a full diagnosis of sarcopenia. This study aimed to investigate the association between PS and all-cause mortality in patients with solid cancer. DESIGN Retrospective observational study. SETTING AND PARTICIPANTS 13,736 patients with 16 types of solid cancer who were ≥18 years old. MEASUREMENTS The presence of both a low calf circumference (men <34 cm or women <33 cm) and low handgrip strength (men <28 kg or women <18 kg) was considered to indicate PS. Harrell's C-index was used to assess prognostic value and the association of PS with mortality was estimated by calculating multivariable-adjusted hazard ratios (HRs). RESULTS The study enrolled 7207 men and 6529 women (median age = 57.8 years). During a median follow-up of 43 months, 3150 deaths occurred. PS showed higher Harrell's C-index (0.549, 95%CI = [0.541, 0.557]) than the low calf circumference (0.541, 95%CI = [0.531, 0.551], P = 0.037) or low handgrip strength (0.542, 95%CI = [0.532, 0.552], P = 0.026). PS was associated with increased mortality risk in both univariate (HR = 1.587, 95%CI = [1.476, 1.708]) and multivariable-adjusted models (HR = 1.190, 95%CI = [1.094, 1.293]). Sensitivity analyses showed that the association of PS with mortality was robust in different covariate subgroups, which also held after excluding those patients who died within the first 3 months (HR = 1.162, 95%CI = [1.060, 1.273]), 6 months (HR = 1.150, 95%CI = [1.039, 1.274]) and 12 months (HR = 1.139, 95%CI = [1.002, 1.296]) after enrollment. CONCLUSION PS could independently and robustly predict all-cause mortality in patients with solid cancer. These findings imply the importance of including PS assessment in routine cancer care to provide significant prognostic information to help mitigate sarcopenia-related premature deaths.
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3.
Association between leisure sedentary behaviors and hypertension risk: A prospective cohort study and two-sample Mendelian randomization analysis in Europeans.
Li, Z, Zhong, W, Gao, J, Zhang, X, Lin, G, Qi, C, Mao, C, Zhou, H
Preventive medicine. 2024;:107915
Abstract
OBJECTIVE This study aimed to investigate the potential causal relationship between domain-specific sedentary behaviors (including television watching, computer use, and driving) and hypertension risk in European populations. METHODS Initially, we conducted a multivariable Cox regression analysis to evaluate the associations between domain-specific sedentary behaviors and the risk of developing hypertension using data from 261,829 hypertension-free participants in the UK Biobank. To validate the findings of observational analysis, we employed two-sample univariable mendelian randomization (UVMR) analysis utilizing summary statistics from genome-wide association study conducted on European populations. We then performed multivariable mendelian randomization (MVMR) analysis to account for the influence of the risk factors for hypertension. RESULTS In this prospective observational analysis, individuals who spent >3 h per day watching television had significantly higher risk of developing hypertension (HR = 1.24, 95% CI: 1.20-1.29, P < 0.001) compared to those who watched television for 0-1 h per day. The mendelian randomization analysis provided consistent evidence for a causal relationship between prolonged television watching time and hypertension risk (OR = 1.45, 95% CI: 1.25-1.69, P < 0.001; all PMVMR < 0.05) in both UVMR and MVMR results. No significant associations were found between computer use, driving behaviors and the risk of hypertension in either the observational or UVMR/MVMR analyses. CONCLUSIONS These findings provide evidence for a causal effect specifically linking higher television watching time to an increased risk of hypertension and indicate the potential effectiveness of reducing television viewing time as a preventive measure to mitigate the risk of hypertension.
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4.
Nemonoxacin achieved a better symptomatic improvement and a prolonged interval to next exacerbation than moxifloxacin for outpatients with acute exacerbations of chronic obstructive pulmonary disease.
Meng, W, Zeng, H, Zhao, Z, Xiong, R, Chen, Y, Li, Z
Scientific reports. 2023;(1):16954
Abstract
Nemonoxacin is a novel non-fluorinated quinolone with strong antibacterial efficacy, but data of its effect on acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is rare. This study was conducted to compare the efficacy of oral nemonoxacin with moxifloxacin in AECOPD outpatients. In this retrospective observational study, a total of 101 AECOPD outpatients initially treated with nemonoxacin or moxifloxacin from July 2021 to March 2022 were enrolled. We collected COPD assessment test (CAT), Transition Dyspnea Indices (TDI) scores, and exacerbations information during 24 weeks follow-up from the electronic medical records. Kaplan-Meier curve was used to analyze the time to the next moderate/severe exacerbation. Compared to the moxifloxacin group, changes in CAT scores and TDI scores were significantly higher in the nemonoxacin group, and the nemonoxacin group also had a greater probability to reach the minimal clinically important difference of CAT (71.40% vs. 97.80%, p < 0.01) and TDI (40.50% vs. 60.00%, p < 0.05) at week 4. Despite no significant difference in the incidence of exacerbations between two groups, patients treated with nemonoxacin had a significantly prolonged time to next moderate/severe exacerbation than those with moxifloxacin (p < 0.05). Nemonoxacin achieved a better symptomatic improvement and a prolonged interval to next moderate/severe exacerbation for AECOPD outpatients.
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5.
Efficacy and safety of modified fasting therapy for weight loss in 2054 hospitalized patients.
Liu, T, Ye, Z, Feng, J, Zhang, L, Chen, H, Chen, X, Cai, F, Zhang, G, Lai, J, Ye, Z, et al
Obesity (Silver Spring, Md.). 2023;(6):1514-1529
Abstract
OBJECTIVE The aim of this study was to evaluate the efficacy and safety of modified fasting therapy, and a retrospective study was conducted to analyze changes in clinical indicators of hospitalized fasting patients. METHODS A total of 2054 hospitalized fasting patients were enrolled in this observational study. All participants underwent 7 days of modified fasting therapy. The clinical efficacy biomarkers, safety indicators, and body composition were measured before and after fasting. RESULTS The modified fasting therapy reduced body weight, BMI, abdominal circumference, systolic blood pressure, and diastolic blood pressure significantly. Blood glucose and indicators of body composition were improved to various extents (all p < 0.05). There was a small increase in liver function, kidney function, uric acid, electrolytes, blood count, coagulation, and uric biomarkers. Subgroup analysis results showed that cardiovascular diseases benefited from modified fasting therapy. CONCLUSIONS At present this study is the largest retrospective population-based study about modified fasting therapy. The results from 2054 patients showed that the modified fasting therapy lasting 7 days was efficient and safe. It led to improvements in physical health and body weight-associated indicators, as well as body composition and relevant cardiovascular risk factors.
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6.
Serum Transferrin Level Is Associated with the Severity of Obstructive Sleep Apnea Independently of Obesity: A Propensity Score-Match Observational Study.
Ming, X, Li, Z, Yang, X, Cai, W, Wang, G, Yang, M, Pan, D, Yuan, Y, Chen, X
Obesity facts. 2022;(4):487-497
Abstract
INTRODUCTION Dysregulation of iron metabolism is closely associated with the development of obesity and obstructive sleep apnea (OSA), but little is known about the relationship between serum transferrin (TF) level and OSA severity. We aimed to verify this relationship and fit into account for obesity-related confounders among bariatric candidates. METHODS We compared data retrospectively collected in 270 bariatric candidates. A propensity score-matched (PSM) analysis was used to determine the impact of iron metabolism on OSA severity independently of obesity. Univariate analysis was used to evaluate the relationship between serum TF level and the severity of OSA reflected by hypoxia and night awakenings parameters. Serum TF level to predict the severity of OSA was assessed by using univariate and multiple logistic regression model. RESULTS The preliminary analysis showed that serum ferritin (113 ng/mL [50-203] vs. 79 ng/mL [40-130], p = 0.009) and TF (2.72 g/L [2.46-3.09] vs. 2.65 g/L [2.34-2.93], p = 0.039) level was significantly higher in the moderate/severe OSA group than the no/mild OSA group. After PSM analysis, there were 75 patients in each group and only serum TF level remained significant (p = 0.014). The proportion of patients with combined T2D and hyperlipidemia also remained higher in moderate/severe OSA groups. Univariate analysis showed that the group with higher degree of hypoxia had higher serum TF levels no matter the severity of OSA was grouped by oxygen desaturation index (ODI; 2.79 g/L [2.56-3.06] vs. 2.55 g/L [2.22-2.84], p < 0.001) or minimum oxygen saturation (SpO2nadir; 2.75 g/L [2.50-3.03] vs. 2.56 g/L [2.24-2.92], p = 0.009). Univariate and multiple logistic regression analysis further showed that serum TF level emerged as a significant and independent factor associated with OSA severity especially grouped by ODI (odds ratio: 2.91, 95% CI: 1.36-6.23, p = 0.006). CONCLUSION The existence of OSA exacerbates obesity comorbidities, particularly type 2 diabetes and hyperlipidemia. Serum TF level is associated with the severity of OSA independently of obesity and might be a potential identification and therapeutic targets.
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7.
Low-frequency Coding Variants Associated With Body Mass Index Affect the Success of Bariatric Surgery.
Antoine, D, Guéant-Rodriguez, RM, Chèvre, JC, Hergalant, S, Sharma, T, Li, Z, Rouyer, P, Chery, C, Halvick, S, Bui, C, et al
The Journal of clinical endocrinology and metabolism. 2022;(3):e1074-e1084
Abstract
CONTEXT A recent study identified 14 low-frequency coding variants associated with body mass index (BMI) in 718 734 individuals predominantly of European ancestry. OBJECTIVE We investigated the association of 2 genetic scores (GS) with i) the risk of severe/morbid obesity, ii) BMI variation before weight-loss intervention, iii) BMI change in response to an 18-month lifestyle/behavioral intervention program, and iv) BMI change up to 24 months after bariatric surgery. METHODS The 14 low-frequency coding variants were genotyped or sequenced in 342 French adults with severe/morbid obesity and 574 French adult controls from the general population. We built risk and protective GS based on 6 BMI-increasing and 5 BMI-decreasing low-frequency coding variants that were polymorphic in our study. RESULTS While the risk GS was not associated with severe/morbid obesity status, BMI-decreasing low-frequency coding variants were significantly less frequent in patients with severe/morbid obesity than in French adults from the general population. Neither the risk nor the protective GS was associated with BMI before intervention in patients with severe/morbid obesity, nor did they affect BMI change in response to a lifestyle/behavioral modification program. The protective GS was associated with a greater BMI decrease following bariatric surgery. The risk and protective GS were associated with a higher and lower risk of BMI regain after bariatric surgery. CONCLUSION Our data indicate that in populations of European descent, low-frequency coding variants associated with BMI in the general population also affect the outcomes of bariatric surgery in patients with severe/morbid obesity.
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8.
Assessment of choroidal structural changes in patients with pre- and early-stage clinical diabetic retinopathy using wide-field SS-OCTA.
Xu, F, Li, Z, Yang, X, Gao, Y, Li, Z, Li, G, Wang, S, Ning, X, Li, J
Frontiers in endocrinology. 2022;:1036625
Abstract
PURPOSE To investigate the micro-vascular changes in choroidal structures in patients with pre- and early-stage clinical diabetic retinopathy (DR) using wide-field Swept-Source Optical Coherence Tomography Angiography (SS-OCTA). METHOD This observational cross-sectional study included 131 eyes of 68 subjects that were divided into healthy controls (group 1, n = 46), pre-DR (group 2, n = 43), early-stage DR (group 3, n = 42) cohorts. All participants that underwent SS-OCTA examination were inpatients in the department of Ophthalmology and the department of Endocrinology, Qilu Hospital, Shandong University, and Department of Ophthalmology, Aier Eye Hospital, Jinan, from July 11, 2021 to March 17, 2022. The choroidal vascularity index (CVI), choroidal thickness (ChT) and central macular thickness (CMT) in the whole area (diameter of 12 mm) and concentric rings with different ranges (0-3, 3-6, 6-9, and 9-12 mm) were recorded and analyzed from the OCTA image. RESULT Compared with healthy eyes, decreases in CVI and ChT were found in the eyes of patients with pre-or early-stage DR. The changes were more significant in the peripheral choroid, with the most prominent abnormalities in the 9-12mm area (P < 0.001). However, there was no obvious difference in the average CMT value. Furthermore, CVI and ChT were significantly correlated with the duration of diabetes in the range of 6-9 and 9-12 mm (Ps < 0.05; Correlation coefficient = -0.549, -0.395, respectively), with the strongest correlation (Ps < 0.01; Correlation coefficient = -0.597, -0.413, respectively) observed at 9-12 mm. CONCLUSION The CVI and ChT values of diabetic patients are significantly lower than in healthy controls, especially in patients with early-stage DR. In addition, the peripheral choroidal capillaries are more susceptible to early DM-induced injury than in the central area.
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9.
Type 2 diabetes prevention diet and the risk of pancreatic cancer: A large prospective multicenter study.
Huang, Y, Liu, F, Chen, AM, Yang, PF, Peng, Y, Gong, JP, Li, Z, Zhong, GC
Clinical nutrition (Edinburgh, Scotland). 2021;(11):5595-5604
Abstract
BACKGROUND & AIMS Type 2 diabetes prevention diet confers a lower risk of type 2 diabetes, which exhibits overlapping mechanisms with pancreatic cancer. We performed a prospective study to examine whether adherence to this dietary pattern is associated with a reduced risk of pancreatic cancer. METHODS A population-based cohort of 101,729 American adults was identified. A dietary diabetes risk reduction score was computed to reflect adherence to this dietary pattern, with higher scores representing greater adherence. Cox regression was used to compute hazard ratios (HRs) for pancreatic cancer incidence. Prespecified subgroup analyses were used to identify the potential effect modifiers. RESULTS After an average follow-up of 8.86 years (900,871.67 person-years), a total of 402 pancreatic cancer cases were observed. In the fully adjusted model, participants in the highest quartile of dietary diabetes risk reduction score were found to have a reduced risk of pancreatic cancer compared with those in the lowest quartile [HRquartiles 4versus1: 0.62; 95% confidence interval (CI): 0.44, 0.86; Ptrend = 0.004], which remained in a series of sensitivity analyses. Subgroup analyses further found that this favorable association was more pronounced in current or former smokers (HRquartiles 4versus1: 0.48; 95% CI: 0.30, 0.77) than in never smokers (HRquartiles 4versus1: 0.71; 95% CI: 0.44, 1.15), although the interaction test did not reach statistical significance (Pinteraction = 0.095). CONCLUSIONS Greater adherence to type 2 diabetes prevention diet is associated with a lower risk of pancreatic cancer in this US population. More studies are needed to confirm our findings.
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10.
A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.
Yin, L, Song, C, Cui, J, Lin, X, Li, N, Fan, Y, Zhang, L, Liu, J, Chong, F, Wang, C, et al
Clinical nutrition (Edinburgh, Scotland). 2021;(8):4958-4970
Abstract
BACKGROUND AND AIMS Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This study established a machine learning (ML)-based, individualized decision system to identify and grade malnutrition using large-scale data from cancer patients. METHODS This was an observational, nationwide, multicenter cohort study that included 14134 cancer patients from five institutions in four different geographic regions of China. Multi-stage K-means clustering was performed to isolate and grade malnutrition based on 17 core nutritional features. The effectiveness of the identified clusters for reflecting clinical characteristics, nutritional status and patient outcomes was comprehensively evaluated. The study population was randomly split for model derivation and validation. Multiple ML algorithms were developed, validated and compared to screen for optimal models to implement the cluster prediction. RESULTS A well-nourished cluster (n = 8193, 58.0%) and a malnourished cluster with three phenotype-specific severity levels (mild = 2195, 15.5%; moderate = 2491, 17.6%; severe = 1255, 8.9%) were identified. The clusters showed moderate agreement with the Patient-Generated Subjective Global Assessment and the Global Leadership Initiative on Malnutrition criteria. The severity of malnutrition was negatively associated with the nutritional status, physical status, quality of life, and short-term outcomes, and was monotonically correlated with reduced overall survival. A multinomial logistic regression was found to be the optimal ML algorithm, and models built based on this algorithm showed almost perfect performance to predict the clusters in the validation data. CONCLUSIONS This study developed a fusion decision system that can be used to facilitate the identification and severity grading of malnutrition in patients with cancer. Moreover, the study workflow is flexible, and might provide a generalizable solution for the artificial intelligence-based assessment of malnutrition in a wider variety of scenarios.