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Predicting sleep based on physical activity, light exposure, and Heart rate variability data using wearable devices. 利用可穿戴设备,根据体力活动、光照和心率变异数据预测睡眠。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-19 DOI: 10.1080/07853890.2024.2405077
Kyung Mee Park,Sang Eun Lee,Changhee Lee,Hyun Duck Hwang,Do Hoon Yoon,Eunchae Choi,Eun Lee
OBJECTIVEWe aimed to improve the performance of sleep prediction algorithms by increasing the data amount, adding variables reflecting psychological state, and adjusting the data length.MATERIALS AND METHODSWe used ActiGraph GT3X+® and Galaxy Watch Active2™ to collect physical activity and light exposure data. We collected heart rate variability (HRV) data with the Galaxy Watch. We evaluated the performance of sleep prediction algorithms based on different data sources (wearable devices only, sleep diary only, or both), data lengths (1, 2, or 3 days), and analysis methods. We defined the target outcome, 'good sleep', as ≥90% sleep efficiency.RESULTSAmong 278 participants who denied having sleep disturbance, we used data including 2136 total days and nights from 230 participants. The performance of the sleep prediction algorithms improved with an increased amount of data and added HRV data. The model with the best performance was the extreme gradient boosting model; XGBoost, using both sources combined data with HRV, and 2-day data (accuracy=.85, area under the curve =.80).CONCLUSIONSThe results show that the performance of the sleep prediction models improved by increasing the data amount and adding HRV data. Further studies targeting insomnia patients and applied researches on non-pharmacological insomnia treatment are needed.
材料与方法 我们使用 ActiGraph GT3X+® 和 Galaxy Watch Active2™ 收集身体活动和光照数据。我们使用 Galaxy Watch 收集心率变异性(HRV)数据。我们评估了基于不同数据源(仅可穿戴设备、仅睡眠日记或两者)、数据长度(1、2 或 3 天)和分析方法的睡眠预测算法的性能。我们将目标结果 "良好睡眠 "定义为睡眠效率≥90%。结果在278名否认有睡眠障碍的参与者中,我们使用了230名参与者共计2136个日夜的数据。随着数据量的增加和心率变异数据的添加,睡眠预测算法的性能也有所提高。性能最好的模型是极梯度提升模型;XGBoost,使用了两种来源的综合数据和心率变异数据,以及 2 天数据(准确率=.85,曲线下面积=.80)。针对失眠症患者的进一步研究和失眠症非药物治疗的应用研究仍需继续。
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引用次数: 0
Metabolic landscape in venous thrombosis: insights into molecular biology and therapeutic implications. 静脉血栓形成的代谢过程:分子生物学见解和治疗意义。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-19 DOI: 10.1080/07853890.2024.2401112
Zheng Cao,Xuejun Jiang,Yiyu He,Xiaoxin Zheng
The findings of the last decade suggest a complex link between inflammatory cells, coagulation, and the activation of platelets and their synergistic interaction to promote venous thrombosis. Inflammation is present throughout the process of venous thrombosis, and various metabolic pathways of erythrocytes, endothelial cells, and immune cells involved in venous thrombosis, including glucose metabolism, lipid metabolism, homocysteine metabolism, and oxidative stress, are associated with inflammation. While the metabolic microenvironment has been identified as a marker of malignancy, recent studies have revealed that for cancer thrombosis, alterations in the metabolic microenvironment appear to also be a potential risk. In this review, we discuss how the synergy between metabolism and thrombosis drives thrombotic disease. We also explore the great potential of anti-inflammatory strategies targeting venous thrombosis and the complex link between anti-inflammation and metabolism. Furthermore, we suggest how we can use our existing knowledge to reduce the risk of venous thrombosis.
过去十年的研究结果表明,炎症细胞、凝血和血小板活化之间存在着复杂的联系,它们之间的协同作用促进了静脉血栓的形成。炎症贯穿于静脉血栓形成的整个过程,红细胞、内皮细胞和免疫细胞参与静脉血栓形成的各种代谢途径,包括葡萄糖代谢、脂质代谢、同型半胱氨酸代谢和氧化应激,都与炎症有关。虽然代谢微环境已被确定为恶性肿瘤的标志物,但最近的研究发现,对于癌症血栓而言,代谢微环境的改变似乎也是一种潜在风险。在这篇综述中,我们将讨论新陈代谢与血栓形成之间的协同作用如何驱动血栓性疾病。我们还探讨了针对静脉血栓形成的抗炎策略的巨大潜力,以及抗炎和新陈代谢之间的复杂联系。此外,我们还提出了如何利用现有知识降低静脉血栓风险的建议。
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引用次数: 0
Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules. 人工智能辅助定量 CT 参数在预测单发肺结节风险程度中的应用。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-19 DOI: 10.1080/07853890.2024.2405075
Long Jiang,Yang Zhou,Wang Miao,Hongda Zhu,Ningyuan Zou,Yu Tian,Hanbo Pan,Weiqiu Jin,Jia Huang,Qingquan Luo
INTRODUCTIONArtificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters for invasiveness prediction.METHODSPatients with stage 0-IB NSCLC after surgical resection were retrospectively analysed. Preoperative CTs were evaluated with specialized software for nodule segmentation and CT quantification. Pathology was the reference for invasiveness. Univariate and multivariate logistic regression assessed predictors of high-risk SPN.RESULTSThree hundred and fifty-five SPN were included. On multivariate analysis, CT value mean and nodule type (ground glass opacity vs. solid) were independent predictors of high-risk SPN. The area under the curve (AUC) was 0.811 for identifying high-risk nodules.CONCLUSIONSQuantitative CT measures and nodule type correlated with invasiveness. Software-based CT assessment shows potential for noninvasive prediction to guide extent of resection. Further prospective validation is needed, including comparison with benign nodules.
引言 人工智能(AI)有望评估计算机断层扫描(CT)上的单发肺结节(SPN)。准确判断癌症的侵袭性可以指导治疗。我们旨在研究用于侵袭性预测的定量 CT 参数。方法回顾性分析了手术切除后的 0-IB 期 NSCLC 患者。使用专业软件对术前 CT 进行评估,以进行结节分割和 CT 定量。病理学是侵袭性的参考标准。结果纳入了 355 个 SPN。在多变量分析中,CT 值平均值和结节类型(磨玻璃不透明与实性)是高风险 SPN 的独立预测因素。鉴定高风险结节的曲线下面积(AUC)为 0.811。基于软件的 CT 评估显示了无创预测指导切除范围的潜力。需要进一步进行前瞻性验证,包括与良性结节进行比较。
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引用次数: 0
Association of serum calcium and metabolically healthy obese in US adults: a cross-sectional study. 美国成年人血清钙与代谢健康肥胖的关系:一项横断面研究。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-18 DOI: 10.1080/07853890.2024.2403721
Zhanbin Li,Zhenyu Yao,Qiaoran Liu
OBJECTIVESThe relationship between serum calcium and occurrence of MHO (metabolically healthy obesity) and MUNO (metabolically unhealthy non-obesity) remains unclear, and distinguishing these two phenotypes is difficult within primary healthcare units. This study explores that relationship.METHODSThis survey included 28590 adults from the National Health and Nutrition Examination Survey (NHANES) 2001-2018. Obesity phenotypes were categorized based on BMI and presence or absence of metabolic syndrome components. Weighted multivariate logistic regression analyses were used to assess the association between serum calcium levels and the obesity phenotype. Restricted cubic spline analysis characterized dose-response relationships, and stratified analyses explored these relationships across sociodemographic and lifestyle factors.RESULTSThe overall prevalence of MHO and MUNO were 2.6% and 46.6%, respectively. After adjusting for covariates, serum calcium exhibited a negative association with MHO [OR (95%): 0.49 (0.36,0.67), p < 0.001], while exhibiting a positive association with MUNO [OR (95%): 1.48 (1.26,1.84), p < 0.001]. Additionally, we found a non-linear association between serum calcium levels and the incidences of MHO and MUNO. Stratified analyses demonstrated a strong negative correlation between serum calcium levels and MHO occurrence across various subgroups. There was no significant interaction between calcium and stratified variables except sex; the association between calcium and the occurrence of MHO was remarkable in female patients. Meanwhile, the predictive ability of serum calcium level for the occurrence of MUNO among all patients was consistent across various subgroups. There was a significant interaction between calcium level and stratified variables based on age, sex, race, and smoking status; the association was remarkable in older (≥ 40 years old), white, none or less smoking, and female patients.CONCLUSIONSA significant correlation was identified between serum calcium levels and MHO or MUNO. The findings suggest that serum calcium levels may serve as an indicator for more accurate assessment and diagnosis of MUNO and MHO, especially among individuals with abdominal obesity.
目的血清钙与 MHO(代谢健康型肥胖)和 MUNO(代谢不健康型非肥胖)之间的关系仍不清楚,在初级医疗保健单位中很难区分这两种表型。本研究对这种关系进行了探讨。方法本调查纳入了 2001-2018 年美国国家健康与营养调查(NHANES)中的 28590 名成年人。肥胖表型根据体重指数和是否存在代谢综合征成分进行分类。加权多变量逻辑回归分析用于评估血清钙水平与肥胖表型之间的关联。限制性三次样条分析描述了剂量-反应关系,分层分析探讨了这些关系与社会人口学和生活方式因素之间的关系。结果MHO和MUNO的总患病率分别为2.6%和46.6%。调整协变量后,血清钙与 MHO 呈负相关[OR (95%):0.49 (0.36,0.67),p < 0.001],而与 MUNO 呈正相关[OR (95%):1.48 (1.26,1.84),p < 0.001]。此外,我们还发现血清钙水平与 MHO 和 MUNO 的发病率之间存在非线性关系。分层分析表明,在不同的亚组中,血清钙水平与 MHO 的发生率呈强负相关。除性别外,血钙与分层变量之间不存在明显的交互作用;女性患者的血钙与 MHO 发生率之间的关系更为明显。同时,血清钙水平对所有患者发生 MUNO 的预测能力在不同亚组中是一致的。血钙水平与基于年龄、性别、种族和吸烟状况的分层变量之间存在明显的交互作用;老年(≥ 40 岁)、白人、不吸烟或少吸烟和女性患者的血钙水平与 MHO 或 MUNO 的相关性显著。研究结果表明,血清钙水平可作为一个指标,用于更准确地评估和诊断 MUNO 和 MHO,尤其是腹型肥胖患者。
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引用次数: 0
Serum metabolomics profile identifies patients with community-acquired pneumonia infected by bacteria, fungi, and viruses. 血清代谢组学图谱可识别受细菌、真菌和病毒感染的社区获得性肺炎患者。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-16 DOI: 10.1080/07853890.2024.2399320
Li Chen,Jianbo Xue,Yukun He,Lili Zhao,Ying Zhang,Lu Yin,Shining Fu,Wenyi Yu,Xinqian Ma,Yu Wang,Yanfen Tang,Zhancheng Gao
PURPOSEPatients with bacterial, fungal, and viral community-acquired pneumonia (CAP) were studied to determine their metabolic profiles.METHODSLoop-mediated isothermal amplification technology and nucleic acid sequence-dependent amplification combined with microfluidic chip technology were applied to screen multiple pathogens from respiratory tract samples. Eighteen patients with single bacterial infection (B-CAP), fifteen with single virus infection (V-CAP), twenty with single fungal infection (F-CAP), and twenty controls were enrolled. UHPLC-MS/MS analysis of untargeted serum samples for metabolic profiles. Multiple linear regression and Spearman's rank correlation analysis were used to determine associations between metabolites and clinical parameters. The sensitivity and specificity of the screened metabolites were also examined, along with their area under the curve.RESULTSThe metabolic signatures of patients with CAP infected by bacteria, viruses, and fungi were markedly different from those of controls. The abundances of 45, 56, and 79 metabolites were significantly unbalanced. Among these differential metabolites, 11, 13, and 29 were unique to the B-CAP, V-CAP, and F-CAP groups, respectively. Bacterial infections were the only known causes of disturbances in the pentose and glucuronate and aldarate and ascorbate metabolism interconversions metabolic pathway.CONCLUSIONSSerum metabolomic techniques based on UHPLC-MS/MS may identify differences between individuals with CAP who have been infected by various pathogens, and they can also build a metabolite signature for early detection of the origin of infection and prompt care.
目的对细菌、真菌和病毒性社区获得性肺炎(CAP)患者进行研究,以确定他们的代谢特征。方法应用环介导等温扩增技术和核酸序列依赖性扩增技术结合微流控芯片技术从呼吸道样本中筛选多种病原体。共纳入 18 例单一细菌感染(B-CAP)患者、15 例单一病毒感染(V-CAP)患者、20 例单一真菌感染(F-CAP)患者和 20 例对照组。对非目标血清样本进行超高效液相色谱-质谱/质谱分析,以了解代谢概况。采用多元线性回归和斯皮尔曼等级相关分析来确定代谢物与临床参数之间的关联。结果受细菌、病毒和真菌感染的 CAP 患者的代谢特征与对照组明显不同。45、56 和 79 种代谢物的丰度明显不平衡。在这些不同的代谢物中,分别有 11、13 和 29 个是 B-CAP、V-CAP 和 F-CAP 组所特有的。结论基于超高效液相色谱-质谱/质谱(UHPLC-MS/MS)的血清代谢组学技术可识别受各种病原体感染的 CAP 患者之间的差异,还能建立代谢物特征,以便早期发现感染源并及时治疗。
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引用次数: 0
Effects of traffic-related air and noise pollution exposure on allergic diseases in the elderly: an observational study. 与交通有关的空气和噪音污染对老年人过敏性疾病的影响:一项观察性研究。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-16 DOI: 10.1080/07853890.2024.2398193
Sofia Tagliaferro,Federico Pirona,Salvatore Fasola,Ilaria Stanisci,Giuseppe Sarno,Sandra Baldacci,Claudio Gariazzo,Gaetano Licitra,Antonino Moro,Camillo Silibello,Massimo Stafoggia,Giovanni Viegi,Sara Maio,,,
INTRODUCTIONTraffic-related air and noise pollution are important public health issues. The aim of this study was to estimate their effects on allergic/respiratory outcomes in adult and elderly subjects.MATERIALS AND METHODSSix hundred and forty-five subjects living in Pisa (Tuscany, Italy) were investigated through a questionnaire on allergic/respiratory symptoms and diseases. Traffic-related air pollution and noise exposures were assessed at residential address by questionnaire, modelled annual mean NO2 concentrations (1 km and 200 m resolution), and noise level over a 24-h period (Lden). Exposure effects were assessed through logistic regression models stratified by age group (18-64 years, ≥65 years), and adjusted for sex, educational level, occupational exposure, and smoking habits.RESULTS63.6% of the subjects reported traffic exposure near home. Mean exposure levels were: 28.24 (±3.26 SD) and 27.23 (±3.16 SD) µg/m3 for NO2 at 200 m and 1 km of resolution, respectively; 57.79 dB(A) (±6.12 SD) for Lden. Exposure to vehicular traffic (by questionnaire) and to high noise levels [Lden ≥ 60 dB(A)] were significantly associated with higher odds of allergic rhinitis (OR 2.01, 95%CI 1.09-3.70, and OR 1.99, 95%CI 1.18-3.36, respectively) and borderline with rhino-conjunctivitis (OR 2.20, 95%CI 0.95-5.10, and OR 1.76, 95%CI 0.91-3.42, respectively) only in the elderly. No significant result emerged for NO2.CONCLUSIONSOur findings highlighted the need to better assess the effect of traffic-related exposure in the elderly, considering the increasing trend in the future global population's ageing.
引言与交通有关的空气和噪音污染是重要的公共健康问题。本研究旨在估算它们对成年和老年受试者过敏/呼吸系统结果的影响。材料和方法通过对居住在比萨(意大利托斯卡纳区)的 645 名受试者进行过敏/呼吸系统症状和疾病问卷调查。通过问卷调查、模拟二氧化氮年平均浓度(1 公里和 200 米分辨率)以及 24 小时内的噪音水平(Lden),对居住地址的交通相关空气污染和噪音暴露进行了评估。暴露影响通过逻辑回归模型进行评估,该模型按年龄组(18-64 岁,≥65 岁)分层,并根据性别、教育水平、职业暴露和吸烟习惯进行调整。平均暴露水平为在分辨率为 200 米和 1 千米的地方,二氧化氮的平均暴露水平分别为 28.24 微克/立方米(±3.26 标度)和 27.23 微克/立方米(±3.16 标度);臭氧浓度为 57.79 分贝(A)(±6.12 标度)。仅在老年人中,暴露于车辆交通(通过问卷调查)和高噪音水平[Lden ≥ 60 dB(A)]与较高的过敏性鼻炎几率(OR 分别为 2.01,95%CI 1.09-3.70;OR 分别为 1.99,95%CI 1.18-3.36)和边缘性鼻结膜炎(OR 分别为 2.20,95%CI 0.95-5.10;OR 分别为 1.76,95%CI 0.91-3.42)显著相关。结论考虑到未来全球人口老龄化趋势的加剧,我们的研究结果突出表明有必要更好地评估交通相关暴露对老年人的影响。
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引用次数: 0
Necessity of antiviral treatment for patients with chronic hepatitis B in the grey zone based on liver pathology analysis 基于肝脏病理分析的灰色地带慢性乙型肝炎患者抗病毒治疗的必要性
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-16 DOI: 10.1080/07853890.2024.2399757
Jianna Zhang, Sijie Yu, Kailu Zhu, Shibo Li, Yu Huang
28–55% of chronic hepatitis B (CHB) patients belong to the grey zone (GZ). By analyzing the pathological characteristics of the liver of patients in the GZ, this study clarified whether the patient...
28-55%的慢性乙型肝炎(CHB)患者属于灰色区域(GZ)。本研究通过分析灰色区患者肝脏的病理特征,明确了患者是否...
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引用次数: 0
Tibial transverse transport promotes wound healing in diabetic foot ulcers by stimulating endothelial progenitor cell mobilization and homing mediated neovascularization 胫骨横向运输通过刺激内皮祖细胞动员和归巢介导的新生血管形成,促进糖尿病足溃疡的伤口愈合
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-16 DOI: 10.1080/07853890.2024.2404186
Weiqing Tian, Lan Zhang, Yongjun Wang, Ligong Lin, Wei Jiang, Guangming Dai, Bo Feng
Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, often leading to amputation and decreased quality of life. Current treatment methods have limited success rates, highl...
糖尿病足溃疡 (DFU) 是糖尿病常见的严重并发症,通常会导致截肢和生活质量下降。目前的治疗方法成功率有限,而且...
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引用次数: 0
A retrospective study differentiating nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis on computed tomography using radiomics and machine learning algorithms. 利用放射组学和机器学习算法对计算机断层扫描上的非结核分枝杆菌肺病和肺结核进行区分的回顾性研究。
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-16 DOI: 10.1080/07853890.2024.2401613
Lihong Zhou,Yiwen Wang,Wenchao Zhu,Yafang Zhao,Yihang Yu,Qin Hu,Wenke Yu
OBJECTIVETo evaluate the effectiveness of a machine learning based on computed tomography (CT) radiomics to distinguish nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB).METHODSIn this retrospective analysis, medical records of 99 individuals afflicted with NTM-PD and 285 individuals with PTB in Zhejiang Chinese and Western Medicine Integrated Hospital were examined. Random numbers generated by a computer were utilized to stratify the study cohort, with 80% designated as the training cohort and 20% as the validation cohort. A total of 2153 radiomics features were extracted using Python (Pyradiomics package) to analyse the CT characteristics of the large disease areas. The identification of significant factors was conducted through the least absolute shrinkage and selection operator (LASSO) regression. The following four supervised learning classifier models were developed: random forest (RF), support vector machine (SVM), logistic regression (LR), and extreme gradient boosting (XGBoost). For assessment and comparison of the predictive performance among these models, receiver-operating characteristic (ROC) curves and the areas under the ROC curves (AUCs) were employed.RESULTSThe Student's t-test, Levene test, and LASSO algorithm collectively selected 23 optimal features. ROC analysis was then conducted, with the respective AUC values of the XGBoost, LR, SVM, and RF models recorded to be 1, 0.9044, 0.8868, and 0.7982 in the training cohort. In the validation cohort, the respective AUC values of the XGBoost, LR, SVM, and RF models were 0.8358, 0.8085, 0.87739, and 0.7759. The DeLong test results noted the lack of remarkable variation across the models.CONCLUSIONThe CT radiomics features can help distinguish between NTM-PD and PTB. Among the four classifiers, SVM showed a stable performance in effectively identifying these two diseases.
目的评估基于计算机断层扫描(CT)放射组学的机器学习在区分非结核分枝杆菌肺病(NTM-PD)和肺结核(PTB)方面的有效性。方法在这项回顾性分析中,研究人员查阅了浙江省中西医结合医院99名非结核分枝杆菌肺病患者和285名肺结核患者的病历。利用计算机生成的随机数对研究队列进行分层,其中 80% 为训练队列,20% 为验证队列。使用 Python(Pyradiomics 软件包)共提取了 2153 个放射组学特征,以分析大病区的 CT 特征。通过最小绝对收缩和选择算子(LASSO)回归法识别重要因素。开发了以下四种监督学习分类器模型:随机森林(RF)、支持向量机(SVM)、逻辑回归(LR)和极梯度提升(XGBoost)。结果学生 t 检验、Levene 检验和 LASSO 算法共同选出了 23 个最佳特征。然后进行了 ROC 分析,在训练队列中,XGBoost、LR、SVM 和 RF 模型的 AUC 值分别为 1、0.9044、0.8868 和 0.7982。在验证队列中,XGBoost、LR、SVM 和 RF 模型的 AUC 值分别为 0.8358、0.8085、0.87739 和 0.7759。DeLong 检验结果表明,各模型之间缺乏显著差异。在四种分类器中,SVM 在有效识别这两种疾病方面表现稳定。
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引用次数: 0
Mechanism underlying the therapeutic effects of effective component compatibility of Bufei Yishen formula III combined with exercise rehabilitation on chronic obstructive pulmonary disease 不老益生方Ⅲ有效成分配伍联合运动康复治疗慢性阻塞性肺疾病的作用机制
IF 4.4 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL Pub Date : 2024-09-14 DOI: 10.1080/07853890.2024.2403729
Lidong Huang, Qingzhou Guan, Ruilong Lu, Zhenzhen Zhang, Chunlei Liu, Yange Tian, Jiansheng Li
To explore the mechanism underlying the therapeutic effect of Bufei Yishen Formula III combined with exercise rehabilitation (ECC-BYF III + ER) on chronic obstructive pulmonary disease (COPD) and f...
为探讨不老益生方Ⅲ联合运动康复(ECC-BYFⅢ+ER)对慢性阻塞性肺疾病(COPD)的治疗作用机制,并探讨不老益生方Ⅲ联合运动康复(ECC-BYFⅢ+ER)对慢性阻塞性肺疾病(COPD)的治疗作用机制。
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引用次数: 0
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