1
|
Wang H, Yang N, Liu YW, Li YM. [Feasibility and safety study of distal radial artery approach in emergency PCI of elderly STEMI patients]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:276-280. [PMID: 38514329 DOI: 10.3760/cma.j.cn112148-20230831-00119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To investigate the feasibility and safety of distal radial artery approach in emergency percutaneous coronary intervention(PCI) of elderly ST-segment elevation myocardial infarction(STEMI) patients. Methods: This study is a cross-sectional study. Elderly patients with acute myocardial infarction who received emergency PCI at the Third Central Hospital of Tianjin from January 2020 to December 2022 were selected. They were divided into the distal radial artery group and the classic radial artery group based on the puncture location. The success rate, puncture time, surgical success rate, and surgical time of the two groups were observed; The incidence of complications in patients, including radial artery occlusion rate, radial artery spasm rate, local hematoma rate, aneurysm incidence rate were recorded. Results: There were 70 cases in the distal radial artery group, including 33 males (47.1%), aged (65.6±6.7) years old; There were 70 cases in the classic radial artery group, including 35 males (50.0%), aged (66.4±6.9) years old. There was no statistically significant difference in puncture success rate, puncture time, surgical success rate, and surgical time between the distal radial artery group and the classical radial artery group (P>0.05). The incidence of radial artery occlusion in the distal radial artery group was significantly lower than that in the classical radial artery group (1.4% vs. 8.6%, P=0.024). The postoperative compression time in the distal radial artery group was significantly shorter than that in the classical radial artery group ((291.6±10.5) min vs. (343.5±9.8) min, P=0.047). There was no statistically significant difference in the incidence of radial artery spasm, local hematoma, and aneurysm between the two groups (P>0.05). Conclusions: The distal radial artery approach has a lower radial artery occlusion rate, shorter compression time, and better safety. It can be used as a new approach for emergency PCI in elderly patients with STEMI for clinical application.
Collapse
Affiliation(s)
- H Wang
- Clinical School of Cardiovascular Disease, Tianjin Medical University, Tianjin 300457, China Heart Center, the Third Central Hospital of Tianjin, Tianjin 300170, China
| | - N Yang
- TEDA International Cardiovascular Hospital, Tianjin 300457, China
| | - Y W Liu
- Heart Center, the Third Central Hospital of Tianjin, Tianjin 300170, China
| | - Y M Li
- TEDA International Cardiovascular Hospital, Tianjin 300457, China
| |
Collapse
|
2
|
Chen X, Zhang Y, Lin L, Huang L, Zhong C, Li Q, Tan T, Wang W, Zhang H, Liu J, Sun G, Yi N, Yang X, Hao L, Yang H, Yang N. A Healthy, Low-Carbohydrate Diet During Pregnancy Is Associated With a Reduced Risk of Gestational Diabetes Mellitus. J Clin Endocrinol Metab 2024; 109:e956-e964. [PMID: 38057161 DOI: 10.1210/clinem/dgad705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/10/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023]
Abstract
CONTEXT Evidence on the associations of low-carbohydrate diet (LCD) during pregnancy with gestational diabetes mellitus (GDM) has been limited and inconsistent. OBJECTIVE We aimed to prospectively evaluate the risk of GDM associated with the LCD considering the quality of macronutrients. METHODS All participants were from a prospective cohort in Wuhan, China. The overall, healthy LCD (emphasizing low-quality carbohydrates, plant protein, and unsaturated fat), and unhealthy LCD (emphasizing high-quality carbohydrates, animal protein, and saturated fat) scores were calculated according to the percentage of energy intake from carbohydrates, protein, and fat. GDM was screened by a 75-g oral glucose tolerance test between 24 and 28 weeks. Poisson regression models were used to calculate relative risks (RRs) and 95% CIs. RESULTS Of 2337 pregnant women, 257 (11.0%) were diagnosed with GDM. Overall LCD score was not associated with risk of GDM, but the healthy and unhealthy LCD scores were associated with the risk of GDM. The multivariable-adjusted RRs (95% CI) were 0.68 (0.49-0.94) and 1.52 (1.11-2.08) for healthy and unhealthy LCD scores comparing the highest with the lowest quartile. Substituting high-quality carbohydrates for low-quality carbohydrates and animal protein, and substituting unsaturated fat for saturated fat, were associated with a 13% to 29% lower risk of GDM. CONCLUSION A healthy LCD during pregnancy characterized by high-quality carbohydrates, plant protein, and unsaturated fat was associated with a lower risk of GDM, whereas an unhealthy LCD consisting of low-quality carbohydrates, animal protein, and saturated fat was associated with a higher risk of GDM.
Collapse
Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Yuhao Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Guoqiang Sun
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, PR China
| | - Nianhua Yi
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, PR China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430030, PR China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
- Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China
| |
Collapse
|
3
|
Yang N, Waytz A, Soler ZM, Overdevest JB, Gudis DA. The effects of priming on rhinologic patient reported outcome measures: a randomized controlled trial. Rhinology 2024; 62:71-81. [PMID: 37805987 DOI: 10.4193/rhin23.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
BACKGROUND Patient-reported outcome measures (PROMs) are questionnaires designed to assess a patient's perception of their medical condition. The 22-item Sino-Nasal Outcomes Test (SNOT-22), the Rhinosinusitis Disability Index (RSDI) and the mini-Rhinoconjunctivitis Quality of Life Questionnaire (MiniRQLQ) are validated PROMs commonly used to assess rhinologic conditions. The objective of this study is to determine if responses on these PROMs may be influenced by priming respondents with positive or negative health-related questionnaires. METHODS Nine hundred patients were prospectively randomized to one of nine groups. Groups A, D and G were positively primed prior to completing the SNOT-22, the RSDI and MiniRQLQ, respectively. Groups B, E, and H were negatively primed. Groups C, F, and I served as control groups, completing the PROMs without priming. Priming was performed by administering a survey designed to make patients think about their health-related quality of life in a positive or negative way. RESULTS Patients who were primed negatively had statistically significantly worse scores on the SNOT-22, RSDI and MiniRQLQ when compared to patients who were primed positively. When compared to the control group, patients who were primed negatively had statistically worse scores on the SNOT-22 and RSDI. There was no significant difference in scores between the positive priming and the control groups for any PROM. CONCLUSIONS Priming subjects regarding their health-related quality of life impacts their responses on rhinologic PROMs. Further study is required to understand the clinical and research implications of this novel finding and to clarify the optimal manner for administering and interpreting PROMs.
Collapse
Affiliation(s)
- N Yang
- Department of Otolaryngology - Head and Neck Surgery, New York Presbyterian Hospital- Columbia University Irving Medical Center, New York, NY, USA
| | - A Waytz
- Department of Management and Organizations, Kellogg School of Management- Northwestern University, Evanston, IL, USA
| | - Z M Soler
- Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, SC, USA
| | - J B Overdevest
- Department of Otolaryngology - Head and Neck Surgery, New York Presbyterian Hospital- Columbia University Irving Medical Center, New York, NY, USA
| | - D A Gudis
- Department of Otolaryngology - Head and Neck Surgery, New York Presbyterian Hospital- Columbia University Irving Medical Center, New York, NY, USA
| |
Collapse
|
4
|
Zhou Q, Zhu D, Wang YT, Dong WY, Yang J, Wen J, Liu J, Yang N, Zhao D, Hua XW, Tang YD. [The association between body mass index and in-hospital major adverse cardiovascular and cerebral events in patients with acute coronary syndrome]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:42-48. [PMID: 38220454 DOI: 10.3760/cma.j.cn112148-20230915-00165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Objective: To assess the association between body mass index (BMI) and major adverse cardiovascular and cerebrovascular events (MACCE) among patients with acute coronary syndrome (ACS). Methods: This was a multicenter prospective cohort study, which was based on the Improving Care for Cardiovascular Disease in China (CCC) project. The hospitalized patients with ACS aged between 18 and 80 years, registered in CCC project from November 1, 2014 to December 31, 2019 were included. The included patients were categorized into four groups based on their BMI at the time of admission: underweight (BMI<18.5 kg/m2), normal weight (BMI between 18.5 and 24.9 kg/m2), overweight (BMI between 25.0 and 29.9 kg/m2), and obese (BMI≥30.0 kg/m2). Multivariate logistic regression models was used to analyze the relationship between BMI and the risk of in-hospital MACCE. Results: A total of 71 681 ACS inpatients were included in the study. The age was (63.4±14.7) years, and 26.5% (18 979/71 681) were female. And the incidence of MACCE for the underweight, normal weight, overweight, and obese groups were 14.9% (322/2 154), 9.5% (3 997/41 960), 7.9% (1 908/24 140) and 7.0% (240/3 427), respectively (P<0.001). Multivariate logistic regression analysis showed a higher incidence of MACCE in the underweight group compared to the normal weight group (OR=1.30, 95%CI 1.13-1.49, P<0.001), while the overweight and obese groups exhibited no statistically significant difference in the incidence of MACCE compared to the normal weight group (both P>0.05). Conclusion: ACS patients with BMI below normal have a higher risk of in-hospital MACCE, suggesting that BMI may be an indicator for evaluating short-term prognosis in ACS patients.
Collapse
Affiliation(s)
- Q Zhou
- Department of Cardiology, Fuwai Hospital and Cardiovascular Institute, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - D Zhu
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - Y T Wang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - W Y Dong
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - J Yang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - J Wen
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - J Liu
- Center of Clinical and Epidemiology Researches, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - N Yang
- Center of Clinical and Epidemiology Researches, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - D Zhao
- Center of Clinical and Epidemiology Researches, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - X W Hua
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| | - Y D Tang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, National Health Commission Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing 100191, China
| |
Collapse
|
5
|
Chen YQ, Zhang YD, Yan H, Qin HY, Huang Z, Zhang X, Xiang SQ, Hu XQ, Wu F, Zhang YC, Zeng L, Yang N. [Comparison of efficacy and safety between domestic immune checkpoint inhibitors and pembrolizumab in the treatment of driver gene-negative advanced non-small cell lung cancer]. Zhonghua Yi Xue Za Zhi 2024; 104:282-289. [PMID: 38246773 DOI: 10.3760/cma.j.cn112137-20230512-00775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Objective: To compare the efficacy and safety of domestic immune checkpoint inhibitors and pembrolizumab in the treatment of driver gene-negative advanced non-small cell lung cancer. Methods: A retrospective analysis was conducted on the data of 1 241 patients with driver gene-negative, unresectable stage ⅢB to Ⅳ non-small cell lung cancer who were treated at the Hunan Cancer Hospital from January 1, 2017 to October 1, 2022. All patients received monotherapy or combination therapy with domestic immune checkpoint inhibitors or pembrolizumab. Among the 1 241 patients, there were 1 066 males and 175 females, with an age range of 14 to 84 years and a median age of 62 years. Among them, 67 patients received monotherapy with domestic immune checkpoint inhibitors, 695 patients received combination therapy with domestic immune checkpoint inhibitors, 102 patients received monotherapy with pembrolizumab, and 377 patients received combination therapy with pembrolizumab. The efficacy and safety of domestic immune checkpoint inhibitors and pembrolizumab monotherapy or combination therapy were compared. Results: In the immune checkpoint inhibitor monotherapy group, the objective response rate (ORR) using domestic immune checkpoint inhibitors and pembrolizumab was 43.3%(29/67) and 44.1%(45/102), respectively, and the disease control rate (DCR) was 79.1%(53/67) and 84.3%(86/102), respectively, with no statistically significant differences (both P>0.05). In the immune combination therapy group, the ORR using domestic immune checkpoint inhibitors and pembrolizumab was 60.9%(423/695) and 62.9%(237/377), respectively, and the DCR was 92.9%(646/695) and 91.0%(343/377), respectively, with no statistically significant differences (both P>0.05). In the immune checkpoint inhibitor monotherapy group, the median progression-free survival (PFS) using domestic immune checkpoint inhibitors and pembrolizumab was 9.0 (95%CI: 3.0-15.0) months and 7.4 (95%CI: 4.8-9.8) months, respectively, with no statistically significant differences (P=0.660). The median overall survival (OS) was 27.0 (95%CI: 25.0-29.0) months and 22.0 (95%CI: 17.1-26.9) months, respectively, with no statistically significant differences (P=0.673). In the immune combination therapy group, the median PFS using domestic immune checkpoint inhibitors and pembrolizumab was 9.0 (95%CI: 8.2-9.8) months and 10.5 (95%CI: 9.0-12.0) months, respectively, with no statistically significant differences (P=0.186). The median OS was 24.0 (95%CI: 19.1-28.9) months and 26.0 (95%CI: 21.3-30.7) months, respectively, with no statistically significant differences (P=0.359). The incidence of grade 1-2 reactive capillary proliferation of the skin in the domestic immune checkpoint inhibitor group and pembrolizumab group was 14.0% (107/762) and 0, respectively. The incidence of grade≥3 reactive capillary proliferation of the skin was 1.0% (7/762) and 0, respectively, with statistically significant differences (both P<0.05). No statistically significant differences were observed in other adverse reactions (all P>0.05). Conclusions: The efficacy of domestically produced immune checkpoint inhibitors is comparable to that of pembrolizumab in the treatment of driver gene-negative advanced non-small cell lung cancer. There is little difference in safety, except for the specific difference in domestically produced immune checkpoint inhibitor, which has a unique risk of reactive cutaneous capillary endothelial proliferation.
Collapse
Affiliation(s)
- Y Q Chen
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Y D Zhang
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - H Yan
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - H Y Qin
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Z Huang
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - X Zhang
- Department of Medical Oncology, Graduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - S Q Xiang
- Department of Biochemistry and Immunology, Medical Research Center, Institute of Medicine, Jishou University, Jishou 416000, China
| | - X Q Hu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - F Wu
- Department of Pathology, Immuno-Oncology Laboratory, School of Basic Medicine, Central South University, Changsha 410017, China
| | - Y C Zhang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha 410013, China
| | - L Zeng
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha 410013, China
| | - N Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha 410013, China
| |
Collapse
|
6
|
Yu L, Lin P, Yang N, Xing YQ. [Advances in research on the role of immune cells in optic nerve injury]. Zhonghua Yan Ke Za Zhi 2024; 60:95-101. [PMID: 38199775 DOI: 10.3760/cma.j.cn112142-20231012-00132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Optic nerve injury can result in the loss of retinal ganglion cells (RGCs) and their axons, representing a significant cause of irreversible vision impairment. Immune response is a common step following injury, and it often exhibits contrasting effects in optic nerve pathologies. Immune cells play a crucial role in this process, and understanding the differentiation of various immune cells post-injury, mitigating their neurotoxicity, and directing them towards a beneficial outcome for the protection of RGCs and axons are vital for optic nerve preservation. This paper provides a comprehensive review of the research progress on immune cells such as macrophages, microglia, T cells, and others in the field of optic nerve injury. Additionally, discussions include the identification of cell phenotypes and the exploration of the novel concept of innate immunity possibly possessing memory.
Collapse
Affiliation(s)
- L Yu
- Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430000, China
| | - P Lin
- Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430000, China
| | - N Yang
- Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430000, China
| | - Y Q Xing
- Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan 430000, China
| |
Collapse
|
7
|
Sorace L, Raju N, O'Shaughnessy J, Kachel S, Jansz K, Yang N, Lim RP. Assessment of inspiration and technical quality in anteroposterior thoracic radiographs using machine learning. Radiography (Lond) 2024; 30:107-115. [PMID: 37918335 DOI: 10.1016/j.radi.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
INTRODUCTION Chest radiographs are the most performed radiographic procedure, but suboptimal technical factors can impact clinical interpretation. A deep learning model was developed to assess technical and inspiratory adequacy of anteroposterior chest radiographs. METHODS Adult anteroposterior chest radiographs (n = 2375) were assessed for technical adequacy, and if otherwise technically adequate, for adequacy of inspiration. Images were labelled by an experienced radiologist with one of three ground truth labels: inadequate technique (n = 605, 25.5 %), adequate inspiration (n = 900, 37.9 %), and inadequate inspiration (n = 870, 36.6 %). A convolutional neural network was then iteratively trained to predict these labels and evaluated using recall, precision, F1 and micro-F1, and Gradient-weighted Class Activation Mapping analysis on a hold-out test set. Impact of kyphosis on model accuracy was assessed. RESULTS The model performed best for radiographs with adequate technique, and worst for images with inadequate technique. Recall was highest (89 %) for radiographs with both adequate technique and inspiration, with recall of 81 % for images with adequate technique and inadequate inspiration, and 60 % for images with inadequate technique, although precision was highest (85 %) for this category. Per-class F1 was 80 %, 81 % and 70 % for adequate inspiration, inadequate inspiration, and inadequate technique respectively. Weighted F1 and Micro F1 scores were 78 %. Presence or absence of kyphosis had no significant impact on model accuracy in images with adequate technique. CONCLUSION This study explores the promising performance of a machine learning algorithm for assessment of inspiratory adequacy and overall technical adequacy for anteroposterior chest radiograph acquisition. IMPLICATIONS FOR PRACTICE With further refinement, machine learning can contribute to education and quality improvement in radiology departments.
Collapse
Affiliation(s)
- L Sorace
- Department of Radiology, Austin Hospital, Heidelberg, Australia.
| | - N Raju
- Department of Radiology, Austin Hospital, Heidelberg, Australia
| | - J O'Shaughnessy
- Department of Radiology, Austin Hospital, Heidelberg, Australia
| | - S Kachel
- Department of Radiology, Austin Hospital, Heidelberg, Australia; The University of Melbourne, Parkville, Australia; Columbia University, New York, NY, USA
| | - K Jansz
- Department of Radiology, Austin Hospital, Heidelberg, Australia
| | - N Yang
- Department of Radiology, Austin Hospital, Heidelberg, Australia; The University of Melbourne, Parkville, Australia
| | - R P Lim
- Department of Radiology, Austin Hospital, Heidelberg, Australia; The University of Melbourne, Parkville, Australia
| |
Collapse
|
8
|
Xu Q, Zhong C, Tan T, Lin L, Yang H, Xu Z, Yang N. The influence of dietary diversity on anthropometric status among young children ages 12 and 24 months in Wuhan, China. Matern Child Nutr 2024; 20:e13563. [PMID: 37734736 PMCID: PMC10750002 DOI: 10.1111/mcn.13563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 08/23/2023] [Accepted: 09/05/2023] [Indexed: 09/23/2023]
Abstract
The relative research on investigating the association between dietary diversity scores and anthropometric status among young children is few and inconsistent. Since understanding this association is quite essential to give more detailed advice about diet to ensure young children's healthy growth, we sought to determine the association between dietary diversity levels and anthropometric status among young children under 24 months. The study included 1408 mother-child pairs from the Tongji Maternal and Child Health Cohort, whose children range in age from 12 to 24 months. Multivariable logistic regressions were used to examine the effect of dietary diversity on children's anthropometric failure and obesity. All obese children aged 12 and 24 months had low-medium diverse diets in their first year of life. Risks of anthropometric failure for 12-month young children consumed low-medium diverse diets in their first year and 24-month young children consumed low-medium diverse diets in their second year are, respectively, 1.27 (odds ratio [OR], 95% confidence interval [CI] = [1.06-1.53]) and 1.19 (OR, 95% CI = [1.02-1.40]) times of those who consumed high diverse diets in corresponding year. The risk of anthropometric failure for 24-month-old children who consumed low-medium diverse diets during their first year of life is 4.70 (OR, 95% CI = [1.62-19.91]) times that of young children who consumed highly diverse diets during their first year of life. Introducing more diverse diets to young children under 24 months of age may be an effective strategy to prevent anthropometric failure and obesity in young children in later life.
Collapse
Affiliation(s)
- Qianqian Xu
- School of Medicine and Health Management, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Chunrong Zhong
- Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical, CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Tianqi Tan
- Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical, CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Lixia Lin
- Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical, CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Hongying Yang
- Institute of Health EducationHubei Provincial Center for Disease Control and PreventionWuhanChina
| | - Zhiyong Xu
- Digestive Endoscopy CenterThe People's Hospital of Ying ShanHuanggangHubei ProvinceChina
| | - Nianhong Yang
- Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical, CollegeHuazhong University of Science and TechnologyWuhanChina
| |
Collapse
|
9
|
Li YM, Yang N. [Progress of hypertension management in China: 50 years overview]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1212-1218. [PMID: 38123203 DOI: 10.3760/cma.j.cn112148-20231017-00336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Y M Li
- Tianjin Kanghui Hospital, Tianjin 300380, China
| | - N Yang
- Tianjin Kanghui Hospital, Tianjin 300380, China
| |
Collapse
|
10
|
Ma Z, Chang Y, Brito LF, Li Y, Yang T, Wang Y, Yang N. Multitrait meta-analyses identify potential candidate genes for growth-related traits in Holstein heifers. J Dairy Sci 2023; 106:9055-9070. [PMID: 37641329 DOI: 10.3168/jds.2023-23462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/20/2023] [Indexed: 08/31/2023]
Abstract
Understanding the underlying pleiotropic relationships among growth and body size traits is important for refining breeding strategies in dairy cattle for optimal body size and growth rate. Therefore, we performed single-trait GWAS for monthly-recorded body weight (BW), hip height, body length, and chest girth from birth to 12 mo of age in Holstein animals, followed by stepwise multiple regression of independent or lowly-linked markers from GWAS loci using conditional and joint association analyses (COJO). Subsequently, we conducted a multitrait meta-analysis to detect pleiotropic markers. Based on the single-trait GWAS, we identified 170 significant SNPs, in which 59 of them remained significant after the COJO analyses. The most significant SNP, located at BTA7:3,676,741, explained 2.93% of the total phenotypic variance for BW6 (BW at 6 mo of age). We identified 17 SNPs with potential pleiotropic effects based on the multitrait meta-analyses, which resulted in 3 additional SNPs in comparison to those detected based on the single-trait GWAS. The identified quantitative trait loci regions overlap with genes known to influence human growth-related traits. According to positional and functional analyses, we proposed HMGA2, HNF4G, MED13L, BHLHE40, FRZB, DMP1, TRIB3, and GATAD2A as important candidate genes influencing the studied traits. The combination of single-trait GWAS and meta-analyses of GWAS results improved the efficiency of detecting associated SNPs, and provided new insights into the genetic mechanisms of growth and development in Holstein cattle.
Collapse
Affiliation(s)
- Z Ma
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China; Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - Y Chang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Y Li
- Beijing Sunlon Livestock Development Co. Ltd., 100029, Beijing, China
| | - T Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Y Wang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
| | - N Yang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
| |
Collapse
|
11
|
Zhao Y, Pei F, Yang N, Sun H, Gao Z, Tian Q, Lu X. [Epidemiological and clinical characteristics of human ocular helaziasis in China from 2011 to 2022 based on bibliometrics]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:513-516. [PMID: 38148542 DOI: 10.16250/j.32.1374.2023061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To understand the clinical and epidemiological characteristics of human ocular thelaziasis patients in China. METHODS Case reports regarding human ocular thelaziasis cases in China were retrieved in international and national electronic databases, including CNKI, VIP, CBM, Traditional Chinese Medical Literature Analysis and Retrieval System, Wanfang Database, PubMed and Web of Science from 2011 to 2022. Patients' gender, age, clinical symptoms, treatment, recurrence, site of infections, time of onset, affected eye, affected sites, number of infected Thelazia callipaeda, sex of T. callipaeda and source of infections were extracted for descriptive analyses. RESULTS A total of 85 eligible publications were included, covering 101 cases of human ocular thelaziasis, including 57 males (56.44%) and 44 females (43.56%) and aged from 3 months to 85 years. The main clinical manifestations included foreign body sensation (56 case-times, 22.49%), eye itching (38 case-times, 15.26%), abnormal or increased secretions (36 case-times, 14.46%), tears (28 case-times, 11.24%) and eye redness (28 case-times, 11.24%), and conjunctival congestion (50 case-times, 41.67%) was the most common clinical sign. The most common main treatment (99/101, 98.02%) was removal of parasites from eyes using ophthalmic forceps, followed by administration with ofloxacin and pranoprofen. In publications presenting thelaziasis recurrence, there were 90 cases without recurrence (97.83%) and 2 cases with recurrence (2.17%). Of all cases, 51.96% were reported in four provinces of Hubei, Shandong, Sichuan, Hebei and Henan, and ocular thelaziasis predominantly occurred in summer (42.19%) and autumn (42.19%). In addition, 56.45% (35/62) had a contact with dogs. CONCLUSIONS The human thelaziasis cases mainly occur in the continental monsoon and subtropical monsoon climate areas such as the Yellow River and the Yangtze River basin, and people of all ages and genders have the disease, with complex clinical symptoms and signs. Personal hygiene is required during the contact with dogs, cats and other animals, and individual protection is required during outdoor activities to prevent thelaziasis.
Collapse
Affiliation(s)
- Y Zhao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - F Pei
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - N Yang
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - H Sun
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Z Gao
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
| | - Q Tian
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
| | - X Lu
- School of Ophthalmology and Optometry, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, China
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Shandong Academy of Eye Disease Prevention and Therapy, Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Jinan, Shandong 250002, China
| |
Collapse
|
12
|
Yang N, Chou HD, Wei MT, Shi LL, Duan JJ, Yin SQ, Li YM. [Association between obstructive sleep apnea and vascular injury in hypertensive patients]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1137-1144. [PMID: 37963748 DOI: 10.3760/cma.j.cn112148-20230721-00015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Objective: To investigate the relationship between obstructive sleep apnea (OSA), apnea hypopnea index (AHI) and vascular injury in hypertensive patients. Methods: This cross-sectional study enrolled patients admitted to the Hypertension Department of TEDA International Cardiovascular Hospital from April 2020 to April 2023, who finished portable sleep monitoring. Sleep monitoring indicators, flow-mediated vasodilation (FMD), carotid artery ultrasound, carotid intima-media thickness, cervical and femoral pulse wave conduction velocity (cfPWV), brachial and ankle pulse wave conduction velocity (baPWV) were analyzed. OSA was classified into mild (5 times/h≤AHI<15 times/h), moderate (15≤AHI<30 times/h), and severe (AHI≥30 times/h) based on AHI levels. FMD<6.0% was defined as vascular endothelial injury, and cfPWV>10 m/s and/or baPWV>18 m/s was defined as arterial stiffness. Multivariate logistic regression analysis was used to explore the correlation between AHI, OSA severity and vascular injury, and subgroup analysis was performed in young (age≤45 years) and middle-to-old patients (age>45 years). Sensitivity analysis was performed by excluding patients with diabetes, cerebrovascular disease and coronary heart disease. The correlation between AHI and vascular injury index was analyzed by restricted cubic spline. Results: A total of 555 adult hypertensive patients were included, the mean age was (39.7±9.2) years, 422 were males (76.0%), and the prevalence of OSA was 66.7% (370/555). Multivariate logistic regression analysis showed that moderate OSA (OR=2.83, P=0.019) and severe OSA (OR=3.40, P=0.016) were positively correlated with vascular endothelial injury after adjusting for age, sex, body mass index and mean arterial pressure. Subgroup analysis showed that log AHI (OR=1.99, P=0.035), moderate OSA (OR=4.83, P=0.010) and severe OSA (OR=4.64, P=0.015) were associated with vascular endothelial injury in young hypertensive patients. The results of sensitivity analysis were similar to the above results. The results of restricted cubic spline analysis showed that AHI was correlated with FMD (P=0.022), and the slope of the curve was the largest when AHI was between 0 and 10 times/h. There was no correlation between log AHI and OSA severity and carotid intima-media thickening and arterial stiffness (all P<0.05). Conclusions: OSA is associated with vascular endothelial injury in hypertensive patients, especially in young patients.
Collapse
Affiliation(s)
- N Yang
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - H D Chou
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - M T Wei
- Center of Epidemiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - L L Shi
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - J J Duan
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - S Q Yin
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| | - Y M Li
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin 300457, China
| |
Collapse
|
13
|
Li YM, Yang N. [Secondary hypertension screening: importance of emphasizing details and norms, focusing on target population]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1118-1120. [PMID: 37963743 DOI: 10.3760/cma.j.cn112148-20230721-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Affiliation(s)
- Y M Li
- Department of Hypertension, Tianjin Kanghui Hospital,Tianjin 300380, China
| | - N Yang
- Department of Hypertension, Tianjin Kanghui Hospital,Tianjin 300380, China
| |
Collapse
|
14
|
Liu RR, Gu SZ, Zhou T, Lin LZ, Chen WC, Zhong DS, Liu TS, Yang N, Shen L, Xu SY, Lu N, Zhang Y, Gong ZL, Xu JM. [A phase I study of subcutaneous envafolimab (KN035) monotherapy in Chinese patients with advanced solid tumors]. Zhonghua Zhong Liu Za Zhi 2023; 45:898-903. [PMID: 37875426 DOI: 10.3760/cma.j.cn112152-20220530-00373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Objective: To evaluate the safety and antitumor activity of envafolimab monotherapy in Chinese patients with advanced solid tumors. Methods: This open-label, multicenter phase I trial included dose escalation and dose expansion phases. In the dose escalation phase, patients received subcutaneous 0.1, 0.3, 1.0, 2.5, 5.0 or 10.0 mg/kg envafolimab once weekly (QW) following a modified "3+ 3" design. The dose expansion phase was performed in the 2.5 mg/kg and 5.0 mg/kg (QW) dose cohorts. Results: At November 25, 2019, a total of 287 patients received envafolimab treatment. During the dose escalation phase, no dose-limiting toxicities (DLT) was observed. In all dose cohorts, drug-related treatment-emergent adverse events (TEAEs) for all grades occurred in 75.3% of patients, and grade 3 or 4 occurred in 20.6% of patients. The incidence of immune-related adverse reactions (irAE) was 24.0% for all grades, the most common irAEs (≥2%) included hypothyroidism, hyperthyroidism, immune-associated hepatitis and rash. The incidence of injection site reactions was low (3.8%), all of which were grades 1-2. Among the 216 efficacy evaluable patients, the objective response rate (ORR) and disease control rate (DCR) were 11.6% and 43.1%, respectively. Median duration of response was 49.1 weeks (95% CI: 24.0, 49.3). Pharmacokinetic (PK) exposure to envafolimab is proportional to dose and median time to maximum plasma concentration is 72-120 hours based on the PK results from the dose escalation phase of the study. Conclusion: Subcutaneous envafolimab has a favorable safety and promising preliminary anti-tumor activity in Chinese patients with advanced solid tumors.
Collapse
Affiliation(s)
- R R Liu
- Department of Medical Oncology, Senior Department of Oncology, the Fifth Medical Center of PLA General Hospital, Beijing 100071, China
| | - S Z Gu
- Department of Interventional Radiology, Hunan Cancer Hospital, Changsha 410031, China
| | - T Zhou
- Department of Urology, Changhai Hospital of Shanghai, Shanghai 200433, China
| | - L Z Lin
- Cancer Center, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - W C Chen
- Department of Gastroenterology, First Affiliated Hospital to Soochow University, Suzhou 215006, China
| | - D S Zhong
- Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - T S Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - N Yang
- Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha 410031, China
| | - L Shen
- Department of Gastrointestinal Oncology, Peking University Cancer Hospital, Beijing 100142, China
| | - S Y Xu
- 3D Medicines Co. Ltd, Chengdu 610036, China
| | - N Lu
- 3D Medicines Co. Ltd, Chengdu 610036, China
| | - Y Zhang
- 3D Medicines Co. Ltd, Chengdu 610036, China
| | - Z L Gong
- 3D Medicines Co. Ltd, Chengdu 610036, China
| | - J M Xu
- Department of Medical Oncology, Senior Department of Oncology, the Fifth Medical Center of PLA General Hospital, Beijing 100071, China
| |
Collapse
|
15
|
Wang W, Li N, Wang X, Zhang X, Tu M, Lin L, Li Q, Zhang H, Liu J, Yang X, Hao L, Yang N. Remnant Cholesterol Is Associated With Gestational Diabetes Mellitus: A Cohort Study. J Clin Endocrinol Metab 2023; 108:2924-2930. [PMID: 37167108 DOI: 10.1210/clinem/dgad262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/25/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
CONTEXT The association between remnant cholesterol (RC) and gestational diabetes mellitus (GDM) risk is unclear. OBJECTIVE This study investigated the association between RC and GDM. METHODS We used data from the Tongji Maternal and Child Health Cohort, a prospective cohort study in China. Fasting lipid concentrations were measured around 16 weeks' gestation. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. GDM was diagnosed by a 75-g oral glucose tolerance test at 24 to 28 weeks' gestation. Log-Poisson regression models were performed to estimate relative risks (RRs) of GDM across quartiles of RC levels and triglyceride (TG) levels after adjustment for potential confounders. TG and RC were mutually adjusted. RESULTS Among 2528 women, 256 (10.1%) developed GDM. The adjusted RRs (95% CIs) for GDM across increasing quartiles of RC were 1.00 (reference), 1.35 (0.91, 1.99), 1.68 (1.16, 2.45), and 1.73 (1.19, 2.50), respectively. Compared to pregnant women without 3 risk indicators (TG <2.08 mmol/L, RC <0.40 mmol/L, and pre-BMI <24.0 kg/m2), the risk of GDM was elevated in those with normal pre-BMI but high RC (aRR: 1.54; 95% CI: 1.08, 2.19) or high TG (aRR: 2.15; 95% CI: 1.33, 3.49). For those with all 3 risk indicators, the risk of GDM was the highest (aRR: 4.80; 95% CI: 3.20, 7.18). CONCLUSION Elevated RC levels were associated with the increased risk of GDM and independent of traditional risk factors. Pregnant women with high pre-BMI, high TG, and high RC were at greatly increased risk of GDM.
Collapse
Affiliation(s)
- Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Na Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
- Department of Clinical Nutrition, The Third People's Hospital of Hubei Province, Wuhan, Hubei, 430030, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| |
Collapse
|
16
|
Kong M, Zhong C, Gao Q, Zhou X, Chen R, Xiong G, Hao L, Yang X, Lu Z, Yang N. Association of elevated mid-pregnancy maternal plasma ferritin concentrations and triglyceride concentrations with the risk of gestational diabetes mellitus: A prospective cohort study. Diabetes Metab Res Rev 2023; 39:e3637. [PMID: 36958940 DOI: 10.1002/dmrr.3637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 01/18/2023] [Accepted: 02/13/2023] [Indexed: 03/25/2023]
Abstract
OBJECTIVE Ferritin levels are well known to be associated with gestational diabetes mellitus (GDM). However, the association of the combination of ferritin and triglyceride (TG) levels in early mid-pregnancy with GDM has not been studied in depth. We investigated the independent and combined relationships of plasma ferritin and TG concentrations with the risk of GDM as well as the mediation effect of TG on ferritin. METHODS We analysed 2071 pregnant women from the Tongji Maternal and Child Health Cohort who had their plasma ferritin and TG concentrations measured at 11-20 weeks of gestation. Associations between ferritin and TG concentrations and GDM risk were estimated using multivariable logistic regression models. Youden's index was calculated to find the cut-off values of ferritin and TG by ROC curve analysis. The mediation effect of the TG concentration on the ferritin level with GDM risk was explored by a mediation analysis. RESULTS A total of 264 (12.3%) participants developed GDM. The median and IQR of ferritin was 53.9 (30.5-92.7) ng/mL. After adjusting for potential confounders, the relative risks (RRs) and 95% confidence intervals of GDM were 2.19 (1.42, 3.39) for ferritin and 2.02 (1.37, 2.97) for TG. The adjusted RR for combination was 2.40 (1.62, 3.55). Moreover, we found that the TG concentration mediated 15.0% of the total effect of the ferritin concentration on the risk of GDM. CONCLUSIONS Women with a combination of both high plasma ferritin (˃55.7 ng/mL) and high TG (˃1.9 mmoL/L) were at the highest risk of GDM. Additionally, we have revealed for the first time that an elevated maternal TG concentration in early pregnancy mediates the relationship between ferritin concentration and GDM risk. TRIAL REGISTRATION This trial is registered at https://ClinicalTrials.gov as NCT03099837.
Collapse
Affiliation(s)
- Man Kong
- Department of Medical Laboratory, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guoping Xiong
- Department of Obstetrics, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhongxin Lu
- Department of Medical Laboratory, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| |
Collapse
|
17
|
Tan T, Chen T, Zhu W, Gong L, Yan Y, Li Q, Chen L, Li Y, Liu J, Li Y, Yang X, Hao L, Wang H, Yang N, Wei S. Adverse associations between maternal deoxynivalenol exposure and birth outcomes: a prospective cohort study in China. BMC Med 2023; 21:328. [PMID: 37635232 PMCID: PMC10464359 DOI: 10.1186/s12916-023-03011-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 07/27/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND Deoxynivalenol (DON), one of the most prevalent mycotoxins, has been found to cause fetal growth retardation in animals. However, limited evidence exists regarding its effects on pregnant women. METHODS Maternal urinary concentration of total DON (tDON) and free DON (fDON) in the second trimester was measured using liquid chromatography with tandem mass spectrometry. Provisional daily intake (PDI) of DON was calculated based on tDON concentration. Linear and logistic regression models were used to evaluate the association between DON exposure levels and birth weight, birth length, and the risk of small for gestational age (SGA). RESULTS Among 1538 subjects, the median concentrations of tDON and fDON were 12.1 ng/mL and 5.1 ng/mL, respectively. The PDI values revealed that the median DON intake was 0.7 µg/kg bw, and 35.9% of the total population exceeded the provisional maximum tolerable daily intake (PMTDI) of 1 µg/kg bw. Compared with the lowest tertile, birth weight decreased by 81.11 g (95% CI: -127.00, -35.23) for tDON (P-trend < 0.001) and 63.02 g (95% CI: -108.72, -17.32) for fDON (P-trend = 0.004) in the highest tertile. Each unit increase in Ln-tDON and Ln-fDON was also inversely associated with birth weight. Furthermore, compared to those who did not exceed PMTDI, pregnant women whose PDI exceeded PMTDI had lower birth weight (β = -79.79 g; 95% CI: -119.09, -40.49) and birth length (β = -0.21 cm; 95% CI: -0.34, -0.07), and a higher risk of SGA (OR = 1.48; 95% CI: 1.02, 2.15) in their offspring. Similar associations with birth weight, birth length, and SGA were found when comparing the highest tertile of PDI to the lowest tertile (all P-trend < 0.05). CONCLUSIONS Maternal DON exposure is related to decreased birth weight. Our findings implicate that DON exposure during pregnancy may cause fetal growth faltering, and measures should be taken to reduce DON exposure in pregnant women.
Collapse
Affiliation(s)
- Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Tingting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei, China
| | - Wenwen Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Lin Gong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yizhong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Li Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yiling Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei, China
| | - Jialin Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei, China
| | - Yanan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Huaiji Wang
- Wuhan Center for Disease Control and Prevention, Institute of Environmental Health, 288 Machang Road, Wuhan, 430022, Hubei, China.
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China.
| | - Sheng Wei
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
| |
Collapse
|
18
|
Wang JY, Cheng JZ, Yang N, Zhang JH, Tu CL. [Spatial correlation between the prevalence of dental fluorosis and the chemical elemental composition of drinking water sources in a typical coal-fired pollution fluorosis area]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:891-898. [PMID: 37380409 DOI: 10.3760/cma.j.cn112338-20221206-01042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Objective: To investigate the spatial distribution characteristics and correlation between the prevalence of dental fluorosis and the chemical elemental composition of drinking water sources in coal-fired fluorosis areas. Methods: Based on the survey data on the prevalence of dental fluorosis at CDC in Guizhou Province in 2022, 274 original surface drinking water sources were collected in typical coal-fired fluorosis areas, and fluoride (F), calcium (Ca), magnesium (Mg), aluminum (Al), titanium (Ti), chromium (Cr), manganese (Mn), iron (Fe), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), barium (Ba), lead (Pb) 17 elements; apply Moran's I index, Getis-Ord Gi* hotspot analysis of the global spatial autocorrelation of chemical elements in drinking water and the degree of aggregation of each element on the local area, and correlation analysis with the prevalence of dental fluorosis in the region. Results: Except for Cu, Zn, and Cd, global spatial autocorrelation Moran's I was negative, and all other elements were positive. F, Ca, Al, Ti, As, Mo, Cd, and Cu elements showed high values of aggregation in the southeastern low-altitude area; Mg, Ba, Pb, Cr, Mn, and Fe elements were mainly aggregated in the central altitude terrain transition area, Zn and Se elements in water sources are significantly positively correlated with the prevalence of dental fluorosis (P<0.05). In contrast, F, Mg, Al, Ti, As, Mo, Cd, Ba, and Pb elements negatively correlate (P<0.05). Elements in the central region were high-high aggregation, as a hot spot aggregation area with high disease incidence, while F, Al, Mn, Mo, Cd, and Ba elements in the western region were low-low aggregation, as a cold spot aggregation area with a low incidence of fluorosis. Conclusions: The risk of population fluoride exposure in surface drinking water sources is shallow. However, the chemical element content of drinking water sources in coal-fired polluted endemic fluorosis areas has prominent spatial geographical distribution characteristics. There is a significant spatial aggregation effect with the prevalence of dental fluorosis, which may play a synergistic or antagonistic effect on the occurrence and prevalence of dental fluorosis.
Collapse
Affiliation(s)
- J Y Wang
- Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China
| | - J Z Cheng
- State Key Laboratory of Environmental Geochemistry/Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - N Yang
- Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China
| | - J H Zhang
- Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China
| | - C L Tu
- Key Laboratory of Environmental Pollution and Disease Surveillance/Ministry of Education, School of Public Health and Health, Guizhou Medical University, Guiyang 550025, China Toxicity Testing Center, Guizhou Medical University, Guiyang 550025, China
| |
Collapse
|
19
|
Zhou F, Yang Y, Zhang L, Cheng Y, Han B, Lu Y, Wang C, Wang Z, Yang N, Fan Y, Wang L, Ma Z, Zhang L, Yao Y, Zhao J, Dong X, Zhu B, Zhou C. Expert consensus of management of adverse drug reactions with anaplastic lymphoma kinase tyrosine kinase inhibitors. ESMO Open 2023; 8:101560. [PMID: 37230029 DOI: 10.1016/j.esmoop.2023.101560] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/26/2023] [Accepted: 04/11/2023] [Indexed: 05/27/2023] Open
Abstract
Anaplastic lymphoma kinase (ALK) rearrangements occur in ∼3%-6% of patients with advanced non-small-cell lung cancer (NSCLC). Small molecular drugs that effectively inhibit ALK gene have revolutionized the therapeutic paradigm for patients with ALK rearrangements, resulting in significant improvements in objective response rate, progression-free survival, and overall survival compared with classical platinum-based chemotherapy. Several ALK tyrosine kinase inhibitors (ALK-TKIs), including crizotinib, alectinib, ceritinib, brigatinib, ensartinib, and lorlatinib, have been recommended as standard first-line treatment for advanced NSCLC patients with ALK rearrangements. Patients with ALK rearrangements typically exhibit long-term durable responses to ALK-TKIs; therefore, the management of adverse drug reactions (ADRs) with ALK-TKIs is crucial in clinical practice to maximize clinical benefits, prevent an adverse impact on quality of life, and improve patient compliance. In general, ALK-TKIs are well tolerated. There are, however, a number of serious toxicities that may necessitate dose modification or even discontinuation of treatment and the management of ADRs with ALK-TKIs has grown in importance. The therapeutic use of this class of medications still carries some risk because there are currently no pertinent guidelines or consensus recommendations for managing ADRs caused by ALK-TKIs in China. In order to improve the clinical management of ADRs with ALK-TKIs, the Chinese Society of Clinical Oncology (CSCO) Non-small Cell Lung Cancer Professional Committee led the discussion and summary of the incidence, diagnosis and grading standards, and prevention and treatment of ADRs caused by ALK-TKIs.
Collapse
Affiliation(s)
- F Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai
| | - Y Yang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - L Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - Y Cheng
- Department of Internal Medicine-Oncology, Jilin Cancer Hospital, Changchun
| | - B Han
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai
| | - Y Lu
- Department of Thoracic Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu
| | - C Wang
- Department of Lung Cancer, Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin
| | - Z Wang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Jinan
| | - N Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha
| | - Y Fan
- Department of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou
| | - L Wang
- Department of Medical Oncology, Drum Tower Hospital Affiliated to Medical School of Nanjing University, Nanjing
| | - Z Ma
- Department of Respiratory Medicine, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou
| | - L Zhang
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - Y Yao
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an
| | - J Zhao
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - X Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - B Zhu
- Department of Oncology, Xinqiao Hospital, The Army Medical University, Chongqing, China
| | - C Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai.
| |
Collapse
|
20
|
Cao X, Wu M, Zhang G, Lin L, Tu M, Xiao D, Zhong C, Zhang H, Yang S, Liu J, Zhang X, Chen X, Wang X, Zhang Y, Xu S, Zhou X, Yang X, Hao L, Yang N. Longitudinal plasma magnesium status during pregnancy and the risk of gestational diabetes mellitus: a prospective cohort study. Environ Sci Pollut Res Int 2023; 30:65392-65400. [PMID: 37084048 DOI: 10.1007/s11356-023-26855-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/03/2023] [Indexed: 05/03/2023]
Abstract
Emerging evidence has shown that magnesium (Mg) was associated with type 2 diabetes while few focused on abnormal glucose metabolism during pregnancy. The study is aimed at investigating the association between longitudinal changes in plasma Mg during pregnancy and subsequent risk of gestational diabetes (GDM) and exploring the possible influence of iron supplementation on the changes of plasma Mg levels. One thousand seven hundred fifty-six pregnant women from Tongji Maternal and Child Health Cohort (TMCHC) were involved. Blood samples were collected at gestational weeks 17.0 ± 0.9 and later 26.2 ± 1.4. Plasma Mg was measured by inductively coupled plasma mass spectrometry (ICP-MS) with decline rates calculated. Information on general characteristics and iron supplementation was collected by questionnaires. Oral glucose tolerance test (OGTT) was conducted at 24-28 gestational weeks to diagnose GDM. Poisson regression with robust error variance was used to estimate relative risks (RR) of GDM. Median concentrations of plasma Mg were 0.69 mmol/L and 0.63 mmol/L respectively at two collections. The prevalence of hypomagnesemia at the first collection was 73% and associated with a 1.59 (95%CI: 1.07, 2.37) fold risk of GDM. Adjusted RRs were 1.74 (95%CI: 1.06, 2.83) and 2.44 (95%CI: 1.54, 3.85) for women with hypomagnesemia and followed more tertile (T2 and T3 vs. T1) of Mg decrement. Iron supplementation above 30 mg/day was found associated with more Mg decrement (25.5% and 27.5% in T2 and T3 vs. 19.5% in T1). In conclusion, hypomagnesemia during pregnancy is prevalent and associated with increased GDM risk, especially in women followed by more plasma Mg decrement during pregnancy. High-dose iron supplementation may involve more plasma Mg decrement.
Collapse
Affiliation(s)
- Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China.
| |
Collapse
|
21
|
Shi CM, Zhou Y, Yang N, Li ZQ, Tao YF, Deng Y, Guo XY. [Quality of psychomotility recovery after propofol sedation for painless gastroscopy and colonoscopy]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:324-327. [PMID: 37042144 PMCID: PMC10091250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
OBJECTIVE To study the effect of propofol used for painless gastroscopy and colonoscopy on psychomotility recovery. METHODS One hundred adult patients undergoing painless gastroscopy and colonoscopy were recruited, aged 18-72 years, with American Society of Anesthesiologist (ASA) physical status Ⅰ-Ⅱ. According to age, the patients were divided into youth group (20-39 years old, 27 cases), middle age group (40-54 years old, 37 cases), and elder group (55-64 years old, 36 cases). Propofol was continuously infused according to the patients' condition to mantain the bispectal index (BIS) score 55-64. All the patients received psychomotility assesment 30 min before the operations when the discharge criteria were met including number cancellation test, number connection test and board test. The heart rate, blood pressure, saturation of pulse oximetry, electrocardiograph and BIS were monitored during the operation. The operating time, recovery time, total volume of propofol and discharge time were recorded. If the results obtained were inferior to those before operation, a third assessment was taken 30 minutes later until the results recovered or being superior to the baseline levels. RESULTS All the patients completed the first and second assessments, and 25 patients had taken the third assessment. There was no statistically significant difference in the results of psychomotility assessment when the patients met the discharge standard. Furthermore, the results were analyzed by grouping with age, and there was no statistical difference in the test results of the youth and middle age groups compared with the preoperative group, among which, the efficiency of the number cancellation test was significantly better than that before operation in the youth group (P < 0.05). However, in the elderly patients the number cancellation efficiency, number connection test and board test were significantly inferior to that before operation (P < 0.05). There was no significant difference in the accuracy of number cancellation compared with that before operation. The patients who needed the third test in the elder group were significantly more than in the other groups (P < 0.05). Compared with the preoperative results, there was no statistical difference in the test results of those who completed the third test. CONCLUSION The psychomotility function of the patients who underwent painless gastroscopy and colonoscopy was recovered when they met discharge criteria. The elderly patients had a prolonged recovery period.
Collapse
Affiliation(s)
- C M Shi
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - Y Zhou
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - N Yang
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - Z Q Li
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - Y F Tao
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - Y Deng
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| | - X Y Guo
- Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
22
|
Li W, Yang N, Li K, Fan H, Yu Q, Wu H, Wang Y, Meng X, Wu J, Wang Z, Liu Y, Wang X, Qin X, Lu K, Zhuang W, He S, Janne P, Seto T, Ou SH, Zhou C. 14MO Updated efficacy and safety of taletrectinib in patients (pts) with ROS1+ non-small cell lung cancer (NSCLC). J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00268-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
23
|
Chen H, Hu Y, Fan Y, Wu G, Cang S, Yang Y, Yang N, Ma R, Jing G, Liu A, Xu X, Tang S, Cheng Y, Yu Y, Wu YL. 22P Adding anlotinib in gradual or local progression on first-line EGFR-TKIs for advanced non-small cell lung cancer: A single-arm, multicenter, phase II trial. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00276-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
24
|
Lin L, Chen X, Huang L, Zhong C, Wu M, Wang W, Wang H, Yang S, Cao X, Xiong G, Yang X, Hao L, Sun G, Yang N. Patterns of maternal gestational weight gain in association with allergic diseases in offspring: A prospective cohort study. BJOG 2023. [PMID: 36938832 DOI: 10.1111/1471-0528.17448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 02/16/2023] [Accepted: 02/28/2023] [Indexed: 03/21/2023]
Abstract
OBJECTIVE To evaluate the association between patterns of gestational weight gain (GWG) and allergic diseases in offspring. DESIGN Prospective cohort study. SETTING Prenatal clinics in Wuhan, China. POPULATION A cohort of 2546 mother and offspring pairs were enrolled before 16 weeks of gestation and followed up to 24 months postpartum. METHODS Maternal body weights were measured regularly during pregnancy, and their GWG patterns were estimated using the growth mixture model. Robust Poisson models were used to evaluate relative risk (RR) and 95% CI after multivariable adjustment. MAIN OUTCOME MEASURES Offspring atopic allergy and allergic contact dermatitis were defined according to a physician's diagnosis reported by the mother, and food allergy was reported by the mother. RESULTS Three GWG patterns were identified: 18.1% (461) of the women were described as pattern 1, characterised by rapid GWG earlier in pregnancy; 56.6% (1442) of the women were described as pattern 2, with steady GWG throughout pregnancy; and 25.3% (643) of the women was described as pattern 3, with rapid GWG later in pregnancy. By the age of 24 months, 360 (14.1%), 109 (4.3%) and 757 (29.7%) offspring had atopic allergy, allergic contact dermatitis or food allergy, respectively. Compared with women in GWG pattern 2, the RRs (95% CIs) among women in pattern 1 were 0.74 (0.55-0.99) for atopic allergy, 0.64 (0.36-1.15) for allergic contact dermatitis and 0.95 (0.81-1.12) for food allergy. CONCLUSIONS Maternal GWG pattern characterised by rapid GWG earlier in pregnancy was associated with a lower risk of atopic allergy in offspring.
Collapse
Affiliation(s)
- Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoqiang Sun
- Department of Integrated Traditional & Western Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
25
|
Cai W, Zhou X, Yang N, Niu XL, Yang GH, Zhang X, Wang W, Chen SB, Li YM. [Association between blood pressure during 12-28 weeks gestation and pre-eclampsia: predictive value of blood pressure trajectories constructed by latent class growth modeling]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:164-171. [PMID: 36789596 DOI: 10.3760/cma.j.cn112148-20221209-00976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Objective: To explore the associations between blood pressure trajectories during pregnancy and risk of future pre-eclampsia in a large cohort enrolling pregnant women at gestational age of ~12 weeks from community hospitals in Tianjin. Latent class growth modeling (LCGM) was used to model the blood pressure trajectories. Methods: This was a large prospective cohort study. The study enrolled pregnant women of ~12 weeks of gestation in 19 community hospitals in Tianjin from November 1, 2016 to May 30, 2018. We obtained related information during 5 antepartum examinations before gestational week 28, i.e., week 12, week 16, week 20, week 24 and week 28. LCGM was used to model longitudinal systolic (SBP) and diastolic blood pressure (DBP) trajectories. For the association study, the predictors were set as SBP and DBP trajectory membership (built separately), the outcome was defined as the occurrence of preeclampsia after 28 weeks of gestation. Results: A total of 5 809 cases with known pregnant outcomes were documented. After excluding 249 cases per exclusion criteria, 5 560 cases with singleton pregnancy were included for final analysis. There were 128 cases preeclampsia and 106 cases gestational hypertension in this cohort. Univariate logistic regression and multivariate logistic regression showed the higher baseline SBP level and DBP level were related with increased risk of preeclampsia. Four distinctive SBP trajectories and DBP trajectories from 12 weeks to 28 weeks of gestation were identified by LCGM. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for SBP latent classification trajectory_ 4 was 4.023 (95%CI: 2.368 to 6.835, P<0.001), and the OR for SBP latent classification trajectory_3 was 1.854 (95%CI: 1.223 to 2.811, P=0.004). Logistic regression showed that: using the DBP latent classification trajectory_1 as the reference group, the OR for DBP latent classification trajectory_4 was 4.100 (95%CI: 2.571 to 6.538, P<0.001), and 2.632 (95%CI: 1.570 to 4.414, P<0.001) for DBP latent classification trajectory_2. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for DBP_traj_4 was 2.527 (95%CI: 1.534 to 4.162, P<0.001), and the OR for DBP_traj_3 was 1.297 (95%CI: 0.790 to 2.128, P=0.303), and 2.238 (95%CI: 1.328 to 3.772, P=0.002) for DBP_traj_2. Therefore, BP trajectories from 12 weeks to 28 weeks identified by LCGM served as novel risk factors that independently associated with the occurrence of preeclampsia. Receiver operating characteristic (ROC) curve analysis showed incremental diagnostic performance by combing baseline blood pressure levels with blood pressure trajectories. Conclusion: By applying LCGM, we for the first time identified distinctive BP trajectories from gestational week 12 to 28, which can independently predict the development of preeclampsia after 28 weeks of gestation.
Collapse
Affiliation(s)
- W Cai
- Department of Prevention and Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of the Chinese People's Armed Police Forces, Tianjin 300162, China
| | - X Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - N Yang
- Clinical School of Cardiovascular Disease, Tianjin Medical University, Tianjin 300070, China
| | - X L Niu
- Department of Prevention and Therapy of Skin Disease in the Security Environment, Characteristic Medical Center of the Chinese People's Armed Police Forces, Tianjin 300162, China
| | - G H Yang
- Department of Prevention and Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of the Chinese People's Armed Police Forces, Tianjin 300162, China
| | - X Zhang
- Department of Prevention and Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of the Chinese People's Armed Police Forces, Tianjin 300162, China
| | - W Wang
- Maternal and Child Health and Family Planning Service Center of Hedong District, Tianjin 300170, China
| | - S B Chen
- Department of Prevention and Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of the Chinese People's Armed Police Forces, Tianjin 300162, China
| | - Y M Li
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| |
Collapse
|
26
|
Tan T, Xiao D, Li Q, Zhong C, Hu W, Guo J, Chen X, Zhang H, Lin L, Yang S, Xiong G, Yang H, Yang X, Hao L, Yang N. Maternal yogurt consumption during pregnancy and infantile eczema: a prospective cohort study. Food Funct 2023; 14:1929-1936. [PMID: 36723007 DOI: 10.1039/d2fo02064e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Maternal fermented food consumption during pregnancy was suggested to be beneficial for a healthy microbiome, and prevent infantile eczema. However, the association between yogurt and eczema has not been well investigated. To examine whether maternal yogurt consumption during pregnancy is associated with risk of infantile eczema, we performed a prospective mother-offspring cohort study in Wuhan, China. Maternal yogurt consumption in late pregnancy was assessed with a semi-quantitative food frequency questionnaire. The main outcomes were doctor-diagnosed infantile eczema collected at 3 and 6 months postpartum. Adjusted rate ratios (aRRs) were calculated by Poisson regression models adjusted for potential confounders. In our study, 182 (7.7%) of 2371 infants followed for 3 months and 84 (4.0%) of 2114 infants followed until 6 months reported doctor-diagnosed eczema. Compared to infants whose mothers had not consumed any yogurt, infants with mothers who consumed yogurt during late pregnancy had reduced risk of eczema between 3 and 6 months of age (aRR = 0.54, 95% CI 0.35-0.85); the reduction was pronounced in those with maternal yogurt intake >3 times per week (aRR = 0.48, 95% CI 0.28-0.82) and >50 g day-1 (aRR = 0.50, 95% CI 0.30-0.81). Moreover, infants with mothers who consumed yogurt showed decreased risk for recurrent eczema within the first 6 months (aRR = 0.46, 95% CI 0.22-0.98). In conclusion, this study found that maternal yogurt consumption during late pregnancy was related to a reduced incidence of eczema in infants aged 3 to 6 months, and recurrent eczema in the first 6 months of life.
Collapse
Affiliation(s)
- Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Wenqi Hu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Jinrong Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Seng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | | | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention, Hubei Provincial Academy of Preventive Medicine, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| |
Collapse
|
27
|
Wang W, Huang L, Zhang X, Lin L, Chen X, Zhong C, Chen R, Wu M, Yang S, Tu M, Cao X, Tan T, Zhu W, Liu J, Zhang H, Yang S, Li N, Yang X, Hao L, Yang R, Yang N. Association of Breastfeeding Practices During the First 3 Months with Infant Sleep Trajectories: A Prospective Cohort Study. J Nutr 2023; 153:562-568. [PMID: 36894247 DOI: 10.1016/j.tjnut.2022.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 11/19/2022] [Accepted: 12/21/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Breastfeeding has numerous effects on maternal and child health. The effect of breastfeeding on infant sleep remains inconclusive. OBJECTIVES We aimed to examine whether full breastfeeding (FBF) during the first 3 mo is associated with longitudinal infant sleep trajectories in their first 2 y of life. METHODS The study was embedded in the Tongji Maternal and Child Health Cohort study. Information on infant feeding practices was collected at 3 mo of age, and maternal/child pairs were assigned to the FBF or the non-FBF group (including partially breastfeeding and exclusive formula feeding) on the basis of feeding practices during the first 3 mo of life. Sleep data of infants were obtained at 3, 6, 12, and 24 mo. Total, night, and day sleep trajectories across 3 to 24 mo were estimated with group-based models. Each sleep trajectory was differentiated on the basis of sleep duration at 3 mo (long/moderate/short) and the interval from 6 to 24 mo (moderate/short). Multinomial logistic regression was used to investigate the association of breastfeeding practices with infant sleep trajectories. RESULTS Among the 4056 infants studied, 2558 (63.1%) received FBF for 3 mo. When compared with FBF infants, non-FBF infants had shorter sleep duration at 3, 6, and 12 mo (P < 0.01). Non-FBF infants were more likely to experience Moderate-Short (OR: 1.31; 95% CI: 1.06, 1.61) and Short-Short (OR: 1.56; 95% CI: 1.12, 2.16) total sleep trajectories and more likely to experience Moderate-Short (OR: 1.84; 95% CI: 1.22, 2.77), and Short-Moderate (OR: 1.40; 95% CI: 1.06, 1.85) night sleep trajectories than FBF infants. CONCLUSIONS Full breastfeeding for ≥3 mo were positively associated with longer infant sleep duration. Infants fully breastfed were more likely to experience better sleep trajectories characterized by longer duration in their first 2 y of life. Full breastfeeding may benefit infants through healthy sleep.
Collapse
Affiliation(s)
- Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China; Shenzhen Baoan Center for Chronic Disease Control, Shenzhen, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Wenwen Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Na Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Rong Yang
- Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
| |
Collapse
|
28
|
Hong M, Xiong T, Huang J, Wu Y, Lin L, Zhang Z, Huang L, Gao Q, Wang H, Yang X, Yang N, Hao L. Vitamin D supplementation and lower respiratory tract infection in infants: a nested case-control study. Infection 2023; 51:109-118. [PMID: 35608725 PMCID: PMC9127486 DOI: 10.1007/s15010-022-01845-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/28/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE To assess the association between vitamin D (VD) supplementation and the risk of lower respiratory tract infection (LRTI) among infants. METHODS This is a nested case-control study from an ongoing prospective birth cohort in Wuhan from 2013. Cases were subjects free of neonatal pneumonia but later developed LRTI during infancy, who were matched with five randomly selected controls by infant sex, birth year, and birth season. We included 190 cases and 950 controls in the final analysis. The primary outcome was the first LRTI incident and the exposure was VD supplementation from birth to the index endpoint. The association between VD supplementation and LRTI risk was assessed using the Cox proportional-hazards regression model. RESULTS Infants taking supplements had a 59% relative reduction in the hazard ratio of LRTI (HR = 0.41; 95% CI 0.26, 0.64) compared to those not supplemented. There was a linear relationship between LRTI risk and VD supplementation within range of 0-603 IU/day: for each 100 IU per day increment in VD supplementation, infants experienced a 21% lower risk of developing LRTI (adjusted HR: 0.79; 95% CI 0.71, 0.89). The linear relationship was stably observed in the sensitivity analyses as well. CONCLUSIONS VD supplementation was associated with the reduced risk of LRTI throughout infancy, and the optimal supplementation dose for infants may be beyond the current recommendation.
Collapse
Affiliation(s)
- Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Junmei Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China ,Department of Clinical Nutrition, People’s Hospital of Sanya City, 558 Jiefang Road, Sanya, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Zhen Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030 China
| |
Collapse
|
29
|
Xing B, Yu J, Liu Y, He S, Chen X, Li Z, He L, Yang N, Ping F, Xu L, Li W, Zhang H, Li Y. High Dietary Zinc Intake Is Associated with Shorter Leukocyte Telomere Length, Mediated by Tumor Necrosis Factor-α: A Study of China Adults. J Nutr Health Aging 2023; 27:904-910. [PMID: 37960914 DOI: 10.1007/s12603-023-1992-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 08/30/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVES Diet can influence peripheral leukocyte telomere length (LTL), and various micronutrients have been reported to correlate with it. Zinc is known for its antioxidant properties and immunomodulatory effects. However, there are few epidemiological investigations on the relationship between dietary zinc intake and LTL. This study analyzed the association between dietary zinc and LTL and the potential role of inflammation and oxidative stress among them. DESIGN Cross-sectional and community-based study. SETTING AND PARTICIPANTS 599 participants from rural communities in the Changping suburb of Beijing, China, were recruited. MEASUREMENTS Serum lipid profile, glycosylated hemoglobin (HbA1c), oxidative stress marker, and inflammatory cytokines levels were measured. Detailed dietary data were obtained using a 24 h food recall. LTL was assessed using a real-time PCR assay. Spearman analysis, restricted cubic splines (RCS), and general linear regression models were used to determine the association between dietary zinc intake and LTL. Simple regulatory models were also applied to analyze the role of inflammation and oxidative stress among them. RESULTS A total of 482 subjects were ultimately included in this analysis. Spearman analysis showed that dietary zinc intake and zinc intake under energy density were negatively correlated with LTL (r=-0.142 and -0.126, all P <0.05) and positively correlated with tumor necrosis factor-α (TNF-α) (r=0.138 and 0.202, all P <0.05) while only dietary zinc without energy adjustment had a positive correlation with superoxide dismutase (SOD). RCS (P for non-linearity=0.933) and multiple linear regression (B=-0.084, P=0.009) indicated a negative linear association between dietary zinc and LTL. The adjustment of TNF-α rather than SOD could abolish the relationship. The mediation model suggested that the unfavorable effect of dietary zinc on LTL was mediated by TNF-α. CONCLUSIONS High dietary zinc may correlate with telomere attrition, and TNF-α can act as a mediator in this relationship. In the future, more extensive cohort studies are needed to further explore the relationship between dietary zinc and cellular aging and the specific mechanisms.
Collapse
Affiliation(s)
- B Xing
- Wei Li, Huabing Zhang, Yuxiu Li, Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, Wei Li, ; Huabing Zhang, ; Yuxiu Li,
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Liu J, Zhao D, Hao YC, Yang N, Sun ZQ, Liu J. [Low-density lipoprotein cholesterol levels and lipid-lowering treatment status among young and middle-aged ultra-high-risk patients with acute coronary syndrome in China]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:1161-1168. [PMID: 36517436 DOI: 10.3760/cma.j.cn112148-20220920-00731] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To assess low-density lipoprotein cholesterol (LDL-C) levels and use of lipid-lowering treatment among young and middle-aged ultra-high-risk patients with acute coronary syndrome (ACS) in China. Methods: The study was based on the"Improving Care for Cardiovascular Disease in China (CCC)-ACS"project, a collaborative registry by and Chinese Society of Cardiology (CSC) and the American Heart Association. Hospitalized-patients with ACS were consecutively enrolled from 159 tertiary and 82 secondary hospitals across China, related clinical information was collected. This study included young and middle-aged hospitalized patients (18-59 years) with ACS from November 2014 to December 2019 registered in CCC-ACS project. Ultra-high-risk was defined according to Chinese expert consensus on lipid management of ultra-high-risk atherosclerotic cardiovascular disease (ASCVD) patients of CSC. The mean LDL-C levels at admission, pre-hospital lipid-lowering therapy and proportion of patients with LDL-C target achieved were analyzed. Results: A total of 42 230 patients younger than 60 years with ACS were included in this study. The mean age was (50.4±6.9) years, and 86.8% (36 676/42 230) of the ACS patients were male. Among them, 86.9% (36 687/42 230) met the criteria of ultra-high-risk. The mean level of LDL-C at admission was (2.8±1.0)mmol/L, only 5.3 % (1 948/36 687) patients achieved the targeted goal of LDL-C<1.4 mmol/L. Among the ultra-high-risk ASCVD patients, 17.5% (6 430/36 687) received lipid-lowering drugs before hospitalization, 96.4% (6 198/6 430) of whom received statins monotherapy. Among patients receiving pre-hospital statins, only 9.9% (626/6 323) patients reached an LDL-C<1.4 mmol/L at admission. Conclusions: The majority of young and middle-aged hospitalized patients with ACS are ultra-high-risk patients for ASCVD in China. Pre-hospital lipid-lowering drugs use is lower in these ultra-high-risk ASCVD patients and most patients do not reach the new LDL-C target level at admission.
Collapse
|
31
|
Li Q, Zhang G, Lin L, Wu M, Cao X, Xiao D, Wang X, Zhang X, Xu S, Li X, Zhong C, Tan T, Chen X, Huang L, Zhang Y, Chen R, Zhou X, Xiong T, Wu Y, Gao Q, Wu J, Li D, Cui W, Tu M, Zhang H, Yang S, Liu J, Yang H, Yang X, Hao L, Yang N. Plasma Manganese Levels and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study. Environ Sci Technol 2022; 56:15860-15868. [PMID: 36215214 DOI: 10.1021/acs.est.2c03330] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Manganese (Mn) intake has been found to be linked with risk of type 2 diabetes. However, the role of Mn in the development of gestational diabetes mellitus (GDM) remains to be investigated. This prospective study included pregnant women from the Tongji Maternal and Child Health Cohort. A total of 2327 participants with plasma specimens before 20 weeks were included. Among the pregnant women, 9.7% (225/2327) were diagnosed with GDM. After adjustment, pregnant women with the third and highest quartile of plasma Mn levels had 1.31-fold (RR, 2.31 [1.48, 3.61]) and 2.35-fold (RR, 3.35 [2.17, 5.17]) increased risk of GDM compared with those with the lowest quartile. A 1 standard deviation increment of ln-transformed plasma Mn levels (0.53 μg/L) was related to elevated risks of GDM with RRs of 1.28 [1.17, 1.40]. The positive associations between Mn and GDM remained consistent in all the subgroups. The weighted quantile sum index was significantly related to GDM (RR, 1.60 [1.37, 1.86]). The contribution of Mn (58.69%) to the metal mixture index was the highest related to GDM. Higher plasma Mn levels were found to be linked with elevated fasting and 2 h post-load blood glucose. This study revealed relationships of higher plasma Mn levels in early pregnancy and increased risk of GDM, suggesting that though essential, excess Mn in the body might be a potential important risk factor for GDM.
Collapse
Affiliation(s)
- Qian Li
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Jiangyue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - De Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Hongying Yang
- Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, P.R. China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| |
Collapse
|
32
|
Zhong C, Chen R, Zhou X, Zhang Y, Liu C, Huang L, Li Q, Xu S, Chen X, Xiong T, Wang W, Gao Q, Zhang H, Wu Y, Hong M, Wu J, Cui W, Li X, Wang W, Lin L, Wang H, Gao D, Li N, Li D, Zhang G, Wang X, Zhang X, Wu M, Yang S, Cao X, Tan T, Tu M, Guo J, Hu W, Zhu W, Xiao D, Gong L, Zhang H, Liu J, Yang S, Wei S, Xiao M, Sun G, Xiong G, Ni Z, Wang J, Jin Z, Yang X, Hao L, Yang H, Yang N. Cohort Profile: The Tongji Maternal and Child Health Cohort (TMCHC). Int J Epidemiol 2022; 52:e152-e161. [PMID: 36343093 DOI: 10.1093/ije/dyac209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Weiye Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Hongmin Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jiangyue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Duan Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Nan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - De Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Guofu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jingrong Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenqi Hu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Wenwen Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Lin Gong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Siyu Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Mei Xiao
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
- Department of Integrated Traditional and Western Medicine, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Guoqiang Sun
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
- Department of Integrated Traditional and Western Medicine, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan , Wuhan, China
| | - Zemin Ni
- Jiang'an Maternal and Child Health Hospital , Wuhan, China
| | - Jing Wang
- Jiang'an Maternal and Child Health Hospital , Wuhan, China
| | - Zhichun Jin
- Department of Obstetrics, Hubei Maternal and Child Health Hospital , Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention , Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan, China
| |
Collapse
|
33
|
Sun H, Wang Q, Wang Y, Zhang Y, Zhang W, Shen W, Zhao L, Ge X, Yang N, Tan B, Su X, Ma J, Wang F, Dong W, Zhang J, Sun D, Liu T, Zhang Q, Li B, Huang W. Treatment Strategies for Limited-Stage Primary Small Cell Carcinoma of the Esophagus: A Multicenter Retrospective Trial from China. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
|
34
|
Xing J, Fu YH, Song Z, Wang Q, Ma T, Li M, Zhuang Y, Li Z, Zhu YJ, Tang W, Wang SG, Yang N, Wang PF, Zhang K. Predictive model for deep venous thrombosis caused by closed lower limb fracture after thromboprophylactic treatment. Eur Rev Med Pharmacol Sci 2022; 26:8508-8522. [PMID: 36459032 DOI: 10.26355/eurrev_202211_30387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Currently, there are still no convincing clinical models predicting closed lower extremity fracture-associated deep vein thrombosis in patients treated through thromboprophylactic methods. We aimed at using two retrospective cohorts to develop and externally verify a clinical prediction model for deep vein thrombosis in patients treated with anticoagulants after suffering closed lower extremity fractures. PATIENTS AND METHODS We evaluated the patients' pre- and post-operatively, to accurately determine the predictive power of the biomarkers and clinical risk factors. Two retrospective cohorts were used for the development and external verification of a pre-operative clinical prediction model (development: n = 2,253; verification: n = 833) and post-operative clinical prediction model (development: n = 1,422; verification: n = 449), respectively. RESULTS The C-indices were used to show the predicted incidence of objective thrombosis at the pre- and post-operative stage, which were then compared with the observed incidence of thrombosis in both cohorts. Biomarkers and clinical indicators were included in pre- and post-operative nomograms, which were adequately calibrated in both cohorts. The cross-validated C-indices of the pre- and post-operative clinical prediction models in the verification cohort were 0.706 (95% Cl, 0.67-0.74) and 0.875 (95% Cl, 0.84-0.91), respectively. CONCLUSIONS We present our findings of novel pre- and post-operative nomograms for the prediction of deep venous thrombosis in patients who received thromboprophylaxis after suffering closed lower extremity fractures.
Collapse
Affiliation(s)
- J Xing
- Department of Orthopedics and Traumatology, Honghui Hospital, Xi'an Jiaotong University, Shaanxi, China.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
35
|
Zou XY, Yang N, Cai W, Niu XL, Wei MT, Zhang X, Li YM. [Association between weight gain during the first half of pregnancy and the risk of hypertension disorder of pregnancy: a prospective cohort study]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:987-992. [PMID: 36299221 DOI: 10.3760/cma.j.cn112148-20220816-00632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To explore the association between weight gain during the first half of pregnancy and the risk of hypertension disorder of pregnancy (HDP). Methods: This prospective cohort study recruited singleton pregnant women in the first trimester from November 2016 to March 2019 at 19 community hospitals in Tianjin. According to pre-pregnancy body mass index (BMI), the cohort was divided into 3 groups: underweight(BMI<18.5 kg/m2), normal-weight(18.5-24.9 kg/m2), and overweight/obese(≥25.0 kg/m2). The basic information of the participants was gathered through questionnaires, and the height, weight, and blood pressure of the participants were measured along with routine pregnancy examinations. The rate of gestational weight gain (rGWG) in the 3 periods (0-13+6, 14+0-20+6, and 0-20+6 weeks) of the participants was calculated. To observe the occurrence of HDP, the participants were followed up to 42 days postpartum. Using a generalized linear model, the association between rGWG at the 3 periods during the first half of pregnancy and HDP after 20 weeks of gestation was evaluated. Results: A total of 9 805 pregnant women were finally included, with the age of (30.6±3.8) years old, 9 418 (96.1%) Han ethnicity, and 6 845 (69.8%) primipara. There were 1 184 (12.1%), 6 831 (69.7%) and 1 790 (18.3%) participants in the underweight, normal-weight, and overweight/obese groups. Five hundreds and eight pregnant women were diagnosed with HDP (5.2%). The incidences of HDP were 1.8% (21/1 184), 3.9% (269/6 831), and 12.2% (218/1 790), respectively, in underweight, normal-weight, and overweight/obese groups. Adjusted for age, pre-pregnancy BMI, primipara, and family history of hypertension, women in the entire cohort with rGWG ≥ 0.18 kg/week before 13+6 weeks of pregnancy had a 28% higher HDP risk than those with rGWG ≤ 0.00 kg/week (RR=1.28, 95%CI 1.04-1.55, P=0.015), and the risk of HDP was increased by 39% in the overweight/obese group (RR=1.39, 95%CI 1.04-1.85, P=0.026), while no correlation was found between rGWG and HDP in underweight and normal-weight pregnant women (P>0.05). Weight gain during 14+0-20+6 weeks of pregnancy in any group was not related to the risk of HDP (P>0.05).In the entire cohort, compared to rGWG ≤0.14 kg/week, rGWG≥0.28 kg/week prior to 20+6 weeks increased HDP risk by 36% (RR=1.36, 95%CI 1.11-1.67, P=0.003). Normal-weight pregnant women with rGWG≥0.29 kg/week faced a 46% higher risk of HDP than those with rGWG≤0.15 kg/week (RR=1.46, 95%CI 1.11-1.93, P=0.008).In the overweight/obese group, excessive weight gain before 20+6 weeks seemed to increased risk of HDP, but the difference was not statistically significant (RR=1.35,95%CI 0.99-1.85, P=0.059), while the connection was nonexistent in underweight women. Conclusions: Except for pre-pregnancy underweight women, excessive weight gain during the first half of pregnancy is associated with increased risk of HDP among pregnant women.
Collapse
Affiliation(s)
- X Y Zou
- Tianjin Key Laboratory of Cardiovascular Remodeling and Target Organ Injury, Tianjin 300162, China Department of Cardiology, First Hospital of Qinhuangdao, Qinhuangdao 066000, China
| | - N Yang
- Department of Hypertension, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| | - W Cai
- Department of Prevention & Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of PAP, Tianjin 300162, China
| | - X L Niu
- Department of Prevention & Therapy of Cardiovascular Diseases in Alpine Environment of Plateau, Characteristic Medical Center of PAP, Tianjin 300162, China
| | - M T Wei
- Center of Clinical Epidemiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| | - X Zhang
- Department of Cardiology, Characteristic Medical Center of PAP, Tianjin 300162, China
| | - Y M Li
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| |
Collapse
|
36
|
Lu S, Jian H, Zhang Y, Song Z, Zhao Y, Wang P, Jiang L, Gong Y, Zhou J, Dong X, Yang N, Fang J, Zhuang W, Cang S, Ma R, Shi J, Wu P, Lu J, Xiang Z, Shi Z, Zhang L, Wang Y. OA03.07 Safety and Efficacy of D-1553 in Patients with KRAS G12C Mutated Non-Small Cell Lung Cancer: A Phase 1 Trial. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
37
|
Wang T, You F, Li Y, Xiang S, Wu H, Meng H, Yang N, Zhang B, Yang L. 759P Preconditioning with irradiation enhances efficacy of B7-H3-CAR-T in treating solid tumor models. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
|
38
|
Chen X, Lin L, Huang L, Wu M, Tan T, Li Q, Zhong C, Wang H, Wang W, Sun G, Yi N, Yang X, Hao L, Yang H, Yang N. Association of maternal low-carbohydrate-diet score during pregnancy with allergic diseases at 2 years of age. Pediatr Allergy Immunol 2022; 33:e13842. [PMID: 36156822 DOI: 10.1111/pai.13842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/22/2022] [Accepted: 08/12/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND We prospectively evaluated the association between low-carbohydrate-diet (LCD) score during pregnancy and the risk of allergic diseases in infants up to 2 years. METHODS Participants were from a prospective mother-offspring cohort study in Wuhan, China. LCD score was calculated according to the percentage of dietary energy intake from carbohydrate, protein, and fat assessed in late pregnancy using validated food frequency questionnaires. Allergic diseases, including immunoglobulin E (IgE)-mediated allergic diseases, allergic contact dermatitis, and food allergy, were recorded at 3, 6, 12, and 24 months postpartum follow-up. Poisson regression models were used to calculate relative risks (RRs) and 95% confidence intervals (CIs). RESULTS Among 1636 mother-infant pairs included in the present analysis, 230 infants (14.1%) with IgE-mediated allergic diseases, 77 (4.7%) with allergic contact dermatitis, and 488 (29.8%) with food allergy were, respectively, reported. Independent of total energy intake and other potential confounders, both the lowest quintile (RR, 1.77; 95% CI, 1.13-2.77) and the highest quintile (RR, 1.72; 95% CI, 1.22-2.63), were associated with the risk of IgE-mediated allergic diseases compared with the middle quintile. Among high-carbohydrate-diet pregnant women, substituting 5% of energy from either protein or fat for carbohydrate was associated with a lower risk of IgE-mediated allergic diseases. While among low-carbohydrate-diet pregnant women, substituting 5% of energy from carbohydrate, especially high-quality carbohydrate, for fat was associated with a lower risk of IgE-mediated allergic diseases. CONCLUSION Maternal low carbohydrate-high protein and fat, and high carbohydrate-low protein and fat diet were both associated with an increased risk of allergic diseases in the infants up to 2 years. This study may provide an intervention strategy for allergy prevention in early childhood.
Collapse
Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoqiang Sun
- Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Nianhua Yi
- Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
39
|
Wu YL, Zhou Q, Chen M, Pan Y, Jian O, Hu D, Lin Q, Wu G, Cui J, Chang J, Cheng Y, Huang C, Liu A, Yang N, Gong Y, Zhu C, Ma Z, Fang J, Chen G, Zhao J, Shi A, Lin Y, Li G, Liu Y, Wang D, Wu R, Xu X, Shi J, Liu Z, Wang J, Yang J. OA02.05 Sugemalimab vs Placebo after cCRT or sCRT in pts with Unresectable Stage III NSCLC: Final PFS Analysis of a Phase 3 Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
40
|
Yu JX, Wu SL, Chen SH, Liu Y, Feng MK, Yang Y, Li SJ, Liu XK, Yang N, Li YM. [Association between high-density lipoprotein cholesterol level and cardiovascular disease and all-cause mortality in the elderly population]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:791-798. [PMID: 35982012 DOI: 10.3760/cma.j.cn112148-20220307-00160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the relationship between high density lipoprotein cholesterol (HDL-C) and cardiovascular disease (CVD) and all-cause mortality in the elderly population. Methods: A total of 14 355 elderly persons aged ≥65 years, who participated in the annual physical examination in Kailuan Group in 2006 were included in this prospective cohort study. According to HDL-C level, the participants were divided into 4 groups: low-level group (HDL-C<1.30 mmol/L), intermediate-level group (1.30 mmol/L ≤HDL-C≤1.54 mmol/L), medium-high-level group (1.55 mmol/L ≤HDL-C≤1.80 mmol/L), high-level group (HDL-C≥1.81 mmol/L). Baseline data such as age, sex and blood lipid levels were collected and compared. Inpatient medical records and death information were obtained through the social security system, and CVD and all-cause mortality were analyzed. After adjusting for confounding factors, the medium-high-level group was used as the reference group. Cox proportional risk regression model was used to evaluate the impact of HDL-C on CVD and all-cause mortality events. The linear or nonlinear relationship between HDL-C level and CVD and all-cause mortality events was evaluated by restricted cubic spline regression model. Death competitive risk analysis was conducted, and sensitivity analysis was performed after excluding subjects with CVD or all-cause mortality within 1 year of follow-up and female participants. Results: The average age of this cohort was (71.5±5.5) years and follow-up time was (10.9±3.3) years. Compared with medium-high-level group, Cox proportional risk regression analysis showed that the HR (95%CI) of CVD and all-cause mortality in low-level group were 1.21 (1.06-1.38) (P<0.05) and 1.02 (0.95-1.11) (P>0.05), respectively; the HR (95%CI) of CVD events in high-level group was 1.17 (1.03-1.33) (P<0.05), and there was a marginal significant association with all-cause mortality, the HR (95%CI) was 1.07 (1.00-1.16) (0.05<P<0.1). The restricted cubic spline regression analysis showed that HDL-C was nonlinearly correlated with CVD (nonlinear correlation P<0.1), and presented a U-shaped curve trend, while HDL-C was linearly correlated with all-cause mortality (nonlinear correlation P>0.1). Conclusions: In the elderly population, the risk of CVD is lowest when the HDL-C level is 1.55-1.80 mmol/L, either high or low HDL-C is a risk factor for CVD. High HDL-C tends to be related to increased risk of all-cause mortality and low HDL-C is not related to increased risk of all-cause mortality.
Collapse
Affiliation(s)
- J X Yu
- Department of Cardiology, Tangshan Worker's Hospital, Tangshan 063000, China
| | - S L Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan 063000, China
| | - S H Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan 063000, China
| | - Y Liu
- Department of Cardiology, Kailuan General Hospital, Tangshan 063000, China
| | - M K Feng
- Department of Cardiology, Tangshan Worker's Hospital, Tangshan 063000, China
| | - Y Yang
- Department of Cardiology, Tangshan Worker's Hospital, Tangshan 063000, China
| | - S J Li
- Tangshan Hospital of Traditional Chinese Medicine, Clinical Laboratory, Tangshan 063000, China
| | - X K Liu
- Department of Cardiology, Tangshan Worker's Hospital, Tangshan 063000, China
| | - N Yang
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| | - Y M Li
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China
| |
Collapse
|
41
|
Khitab N, Joyner J, RizkAllah G, Yang N, Vig S. 856 The Croydon Elective Centre - Surgical Hub Supporting Patient Care and Surgical Training. Br J Surg 2022. [DOI: 10.1093/bjs/znac269.536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Aim
NHSE/I and the RCS England have advocated that the separation of elective and surgical care is fundamental in recovering surgical services. It is suggested that the separation is physical, and many Trusts are transforming pathways into elective and emergency hospitals. Croydon Hospital (CHS) have created an alternative, with ‘a Hospital within a Hospital’, separating these pathways within one estate, and considers whether this is a successful model for the future.
Method
The day surgery unit on the ground floor was converted into an emergency centre with an ambulatory surgical hub, a hot clinic, clinical space, 4 emergency theatres and an USS room. The main theatre suite was converted into the Croydon Elective Centre (CEC) with a 12-bedded coronary catheter suite, a lift onto the second floor, 10 theatres, a 12 bedded children's day unit, Moorfields’ eye unit, a new canteen, an admissions unit as well as a 28-bedded elective ward with a new 4-bedded level 1.5 critical care unit.
Results
At the end of wave 1, 3,068 patients awaited treatment, an increase of 30.44% of baseline activity with theatre activity at 28% of normal activity. Activity resumed to 100% within 6 weeks of CEC go live. 2/9,606 patients were Covid-19 positive in the first year. During wave 2, 60% of pre-Covid-19 activity continued. Currently, 2,098 patients await treatment.
Conclusion
The implementation of a surgical hub has supported the treatment of patients as well as provided continuous training opportunities for surgical and anaesthetic trainees as well as the theatre team.
Collapse
Affiliation(s)
- N Khitab
- Croydon University Hospital , Surrey , United Kingdom
| | - J Joyner
- Croydon University Hospital , Surrey , United Kingdom
| | - G RizkAllah
- Croydon University Hospital , Surrey , United Kingdom
| | - N Yang
- Croydon University Hospital , Surrey , United Kingdom
| | - S Vig
- Croydon University Hospital , Surrey , United Kingdom
| |
Collapse
|
42
|
Mazo G, Yang N, Wang Y, Li Z, Pan H, Hendrickson R, Ordureau A, Deng L. 554 Vaccinia immune evasion ankyrin-repeat/F-box protein WR199 mediates ubiquitination and proteasomal degradation of the DNA sensor cGAS. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
43
|
Lou Y, Ma WJ, Wang ZJ, Yang N, Sun YJ, Liu YL, Lei RB, Zhao JX, Luo XF, Wang L, Chen YL, Han YL, Sun YX, Li YM, Cai J. [Writing protocols for the Chinese clinical practice guidelines of hypertension]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:671-675. [PMID: 35856223 DOI: 10.3760/cma.j.cn112148-20211126-01021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Y Lou
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - W J Ma
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Z J Wang
- Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - N Yang
- Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y J Sun
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y L Liu
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - R B Lei
- Pediatric Research Institute, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - J X Zhao
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X F Luo
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - L Wang
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Y L Chen
- Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y L Han
- Department of Cardiology, General Hospital of Northern Theater Command, Shenyang 110000, China
| | - Y X Sun
- Department of Cardiology, First Hospital of China Medical University, Shenyang 110000, China
| | - Y M Li
- Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin 300450, China
| | - J Cai
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing 100037, China
| |
Collapse
|
44
|
Lin L, Chen X, Zhong C, Huang L, Li Q, Zhang X, Wu M, Wang H, Yang S, Cao X, Xiong G, Sun G, Yang X, Hao L, Yang N. Timing of gestational weight gain in association with birth weight outcomes: a prospective cohort study. Br J Nutr 2022; 129:1-8. [PMID: 35848157 DOI: 10.1017/s0007114522001921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Maternal gestational weight gain (GWG) is an important determinant of infant birth weight, and having adequate total GWG has been widely recommended. However, the association of timing of GWG with birth weight remains controversial. We aimed to evaluate this association, especially among women with adequate total GWG. In a prospective cohort study, pregnant women's weight was routinely measured during pregnancy, and their GWG was calculated for the ten intervals: the first 13, 14-18, 19-23, 24-28, 29-30, 31-32, 33-34, 35-36, 37-38 and 39-40 weeks. Birth weight was measured, and small-for-gestational-age (SGA) and large-for-gestational-age were assessed. Generalized linear and Poisson models were used to evaluate the associations of GWG with birth weight and its outcomes after multivariate adjustment, respectively. Of the 5049 women, increased GWG in the first 30 weeks was associated with increased birth weight for male infants, and increased GWG in the first 28 weeks was associated with increased birth weight for females. Among 1713 women with adequate total GWG, increased GWG percent between 14 and 23 weeks was associated with increased birth weight. Moreover, inadequate GWG between 14 and 23 weeks, compared with the adequate GWG, was associated with an increased risk of SGA (43 (13·7 %) v. 42 (7·2 %); relative risk 1·83, 95 % CI 1·21, 2·76). Timing of GWG may influence infant birth weight differentially, and women with inadequate GWG between 14 and 23 weeks may be at higher risk of delivering SGA infants, despite having adequate total GWG.
Collapse
Affiliation(s)
- Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xiyu Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan, Hubei, People's Republic of China
| | - Guoqiang Sun
- Department of Integrated Traditional & Western Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, People's Republic of China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| |
Collapse
|
45
|
Chen T, Tan T, Zhu W, Gong L, Yan Y, Li Q, Xiao D, Li Y, Yang X, Hao L, Wang H, Yang N, Wei S. Exposure assessment of urinary deoxynivalenol in pregnant women in Wuhan, China. Food Chem Toxicol 2022; 167:113289. [PMID: 35820638 DOI: 10.1016/j.fct.2022.113289] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/21/2022] [Accepted: 07/08/2022] [Indexed: 10/17/2022]
Abstract
Deoxynivalenol (DON) is a ubiquitous trichothecene mycotoxin in food. DON and its modified forms can cross the placental barrier and influence the foetus' health. Limited information is available on exposure of dietary DON intake of pregnant women in China recently. We estimated the exposure of dietary DON intake of pregnant women in a large sample size (n = 2534) from China. The total DON (tDON) and free DON (fDON) biomarkers in urine were detected by liquid chromatography-tandem mass spectrometry. The mean concentration of tDON was 34.8 ng/mg creatinine, and the fDON was 15.9 ng/mg creatinine. The estimated exposure of dietary DON intake was 0.96-1.91 μg/kg bw/day, and the difference in exposure of DON between the first and second trimesters was statistically insignificant. Approximately 26%-60% of individuals exceeded the provisional maximum tolerable daily intake (PMTDI). The age, pre-pregnancy BMI, and the sampling seasons may be the risk factor for the occurrence of exceeding PMTDI. This survey is the first exposure biomarker for DON in a large sample size from pregnant women in China. We found that the dietary DON exposure in pregnant women was relatively high and particular concern should be paid to the DON exposure during pregnancy.
Collapse
Affiliation(s)
- Tingting Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tianqi Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenwen Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lin Gong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yizhong Yan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Daxiang Xiao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yanan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huaiji Wang
- Institute of Environmental Health, Wuhan Center for Disease Control and Prevention, Wuhan, Hubei, China.
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Sheng Wei
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| |
Collapse
|
46
|
Chen X, Huang L, Li Q, Zhang X, Wang X, Sun G, Yi N, Xiong G, Yang X, Hao L, Yang H, Yang N. Effect of maternal thallium exposure in early pregnancy on the risk of preterm birth. Environ Sci Pollut Res Int 2022; 29:49966-49975. [PMID: 35220538 DOI: 10.1007/s11356-022-19332-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
Human activities have significantly increased the release of thallium (Tl) to the environment. However, the study of the relationship between maternal Tl exposure during pregnancy and the risk of preterm birth (PTB) is scarce so far. We aimed to investigate the association between Tl exposure in early pregnancy and the risk of PTB. A total of 2104 pregnant women from the Tongji Maternal and Child Health Cohort (TMCHC) in Wuhan, China were enrolled in the analysis. We collected the urine samples in early pregnancy (< 20 weeks) and inductively coupled plasma mass spectrometry (ICP-MS) was used to detect urinary Tl levels. The association between Tl levels and the risk of PTB was evaluated by an unconditional logistic regression. The median and geometric mean values of Tl levels were 0.35 μg/L (0.47 μg/g creatinine) and 0.33 μg/L (0.47 μg/g creatinine), respectively. Compared with the lowest tertile of Tl levels (≤ 0.37 μg/g creatinine), the highest tertile (> 0.57 μg/g creatinine) was associated with an increased risk of PTB with an adjusted odds ratio (OR) of 2.11 (95% confidence interval (CI): 1.08, 4.12). Stratified analyses showed an elevated risk of PTB related to the highest tertile of Tl levels for male newborns. After excluding women with miss covariate information, gestational diabetes mellitus, pregnancy-induced hypertension, reporting fish intake, or exposed to smoke, the association remained stable. Our results suggested that maternal Tl exposure during early pregnancy was positively associated with the risk of PTB, and Tl exposure may have a sex-specific effect on PTB.
Collapse
Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Guoqiang Sun
- Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, People's Republic of China
| | - Nianhua Yi
- Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, 430070, People's Republic of China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Wuhan, Hubei, 430013, People's Republic of China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Hongying Yang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China.
| |
Collapse
|
47
|
Ma ZZ, Ao N, Yang N, Yang J, Jin S, Du C, Du J. [Study of the effect of liraglutide on the correlation between NLRP3 inflammasome and non-alcoholic fatty liver disease]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:624-630. [PMID: 36038324 DOI: 10.3760/cma.j.cn501113-20200326-00142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To observe the effect of liraglutide on the correlation between nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing protein 3 (NLRP3) infl ammasome and nonalcoholic fatty liver disease (NAFLD). Methods: Thirty-nine NAFLD cases (group N) and thirty-nine healthy subjects (group C) were selected from the physical examination center, and their general data were collected to determine the serum levels of NLRP3, IL-1β, and IL-18. The differences and correlations were analyzed between the two sets of indicators. Thirty male SD rats were randomly divided into normal (NC, n=10) and high-fat diet group (HF, n=20). The normal group were fed with normal diet and high-fat diet group were fed with high-fat diet. After 12 weeks of feeding, HF group was randomly divided into HF group (n=10) and liraglutide group (100L, n=10), and were given 0.5 ml/kg sterile isotonic saline and 100 g/kg liraglutide subcutaneously twice a day, respectively. Four weeks later, serum biochemical indicators, liver NLRP3 infl ammasome protein expression, and infl ammatory cytokine conditions were detected in each group. Statistical analysis was performed using t test, oneway analysis of variance (ANOVA) or χ2 test. Results: There were no statistically signifi cant differences between N and C group in terms of age, gender, diastolic blood pressure, glycosylated hemoglobin, mean platelet volume, erythrocyte distribution width, serum low-density lipoprotein cholesterol (HDL-Ch), total cholesterol, and total bileacid. Compared with group C, group N had elevated systolic blood pressure, body mass index (BMI), fasting blood glucose, blood creatinine, alkaline phosphatase (ALP), NLRP3, interleukin (IL)-1β, IL-18, TG, blood uric acid, γ-glutamyltransferase (GGT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and white blood cell counts, while HDL-Ch and total bilirubin were depleted than group C, and the difference was statistically significant (P< 0.05). NLRP3 was positively correlated with systolic blood pressure, BMI, fasting blood glucose, serum creatinine, IL-1β, IL-18, triglycerides, serum uric acid, GGT, ALT, AST, but negatively correlated with total bilirubin and HDL-Ch, and the difference was statistically signifi cant. Compared with NC group, HF group had significantly increased body mass, liver mass, serum biochemical indicators (triglycerides, AST, ALT), liver NLRP3 inflammasome protein expression, and inflammatory cytokines. After treatment with liraglutide, 100L group indicators were signifi cantly decreased when compared to HF group. Conclusion: Compared with healthy subjects, the infl ammation-related indicators, body mass, blood lipids and liver function-related indicators are signifi cantly changed in patients with NAFLD, which is also consistent with the results of rat model study. Liraglutide treatment had improved NAFLD to certain extent in NAFLD rats, so NLRP3 regulation may be one of the mechanisms to improve liver inflammation and steatosis.
Collapse
Affiliation(s)
- Z Z Ma
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - N Ao
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - N Yang
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China Department of Endocrinology, Chaoyang Second Hospital, Chaoyang 122000, China
| | - J Yang
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - S Jin
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - C Du
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - J Du
- Department of Endocrinology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| |
Collapse
|
48
|
Yang N, Zhao W, Pan Y, Lyu XZ, Hao XY, Qi WA, Du L, Liu EM, Chen T, Zhang WS, Zhang CF, Zhu GN, Wang QM, Meng WB, Liang YB, Jin YH, Wang W, Xing D, Tian JH, Ma B, Wang XH, Song XP, Ge L, Yang KH, Liu XQ, Wei JM, Chen Y. [Development of a Ranking Tool for Scientificity, Transparency and Applicability of Clinical Practice Guidelines]. Zhonghua Yi Xue Za Zhi 2022; 102:1-10. [PMID: 35701091 DOI: 10.3760/cma.j.cn112137-20220219-00340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To address the limitations of existing methods and tools for evaluating clinical practice guidelines, we aimed to develop a comprehensive instrument focusing on the three main dimensions of guideline development: scientificity, transparency, applicability. We will use it to rank the guidelines according to the scores. We abbreviated it as STAR, and its reliability, validity and usability were also tested. Methods: A multidisciplinary expert working group was set up, including methodologists, statisticians, journal editors, medical professionals, and others. Scoping review, Delphi methods and hierarchical analysis were used to determine the final checklist of STAR. Results: The new instrument contained 11 domains and 39 items. Intrinsic reliability of each domain was indicated by Cronbach's α coefficient, with a average value of 0.646. The Cohen's kappa coefficients for methodological evaluators and clinical evaluators were 0.783 and 0.618. The overall content validity index was 0.905. The R2 for the criterion validity analysis was 0.76. The average score for usability of the items was 4.6, and the mean time spent to evaluate each guideline was 20 minutes. Conclusion: The instrument has good reliability, validity and evaluating efficiency, and can be used for evaluating and ranking guidelines more comprehensively.
Collapse
Affiliation(s)
- N Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - W Zhao
- General Editorial Office, Chinese Medical Association Publishing House, Beijing 100052, China
| | - Y Pan
- Marketing and Sales Department, Chinese Medical Association Publishing House, Beijing 100052, China
| | - X Z Lyu
- Editorial Department, Chinese Medical Journal, Chinese Medical Association Publishing House, Beijing 100052, China
| | - X Y Hao
- Editorial Department, Chinese Medical Journal (English Edition), Chinese Medical Association Publishing House, Beijing 100052, China
| | - W A Qi
- Editorial Department, British Medical Journal (Chinese Edition), Chinese Medical Association Publishing House, Beijing 100052, China
| | - L Du
- Evidence-Based Medicine Center, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041
| | - E M Liu
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing 400014
| | - T Chen
- Department of Hematology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - W S Zhang
- Department of Obstetrics and Gynecology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - C F Zhang
- Children's Hospital of Fudan University, Shanghai 201102, China
| | - G N Zhu
- Department of Dermatology, Xijing Hospital, Xi'an 710032, China
| | - Q M Wang
- Department of Medical Oncology, Henan Cancer Hospital, Zhengzhou 450008, China
| | - W B Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Y B Liang
- Department of Ophthalmology, The Eye Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Y H Jin
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430072, China
| | - W Wang
- Department of Urology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai 200240, China
| | - D Xing
- Department of Trauma and Orthopaedics, Peking University People's Hospital, Beijing 100044, China
| | - J H Tian
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - B Ma
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - X H Wang
- School of Public Health, Lanzhou University, Lanzhou 730000
| | - X P Song
- School of Public Health, Lanzhou University, Lanzhou 730000
| | - L Ge
- School of Public Health, Lanzhou University, Lanzhou 730000
| | - K H Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - X Q Liu
- Department of Infectious Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union & Peking Union Medical College, Beijing 100730
| | - J M Wei
- Chinese Medical Association Publishing House, Beijing 100052, China
| | - Yaolong Chen
- Research Unit of Evidence-Based Evaluation and Guidelines (2021RU017), Chinese Academy of Medical Sciences, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China Guidelines and Standards Research Center, Chinese Medical Association Publishing House, Beijing 100052, China
| |
Collapse
|
49
|
Costenbader K, Cook N, Lee IM, Hahn J, Walter J, Bubes V, Kotler G, Yang N, Friedman S, Alexander E, Manson J. OP0038 VITAMIN D AND MARINE n-3 FATTY ACID SUPPLEMENTATION FOR PREVENTION OF AUTOIMMUNE DISEASE IN THE VITAL RANDOMIZED CONTROLLED TRIAL: OUTCOMES OVER 7 YEARS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundStrong biologic rationale supports both vitamin D and marine omega-3 (n-3) fatty acids for prevention of autoimmune disease (AD). Within the randomized, double-blind, placebo-controlled VITamin D and OmegA-3 TriaL (VITAL), we tested the effects of these supplements on AD incidence. We previously reported results after 5.3 years of randomized follow-up showing overall protective effects for vitamin D on AD incidence (HR 0.78, 95% CI 0.61-0.99) and suggestive results for n-3 fatty acids (HR 0.85, 95%CI 0.67-1.08)1.ObjectivesWe aimed to test effects of these supplements with two more years of post-intervention follow-up in VITAL.MethodsVITAL enrolled and randomized men and women (age ≥50 and ≥55 years, respectively) in a 2-by-2 factorial design to vitamin D3 (2000 IU/d) and/or n-3 fatty acids (1000 mg/d) or placebo and followed for median 5.3 years. Here, we followed participants for another 2 years of observation to assess for sustained effects. Incident AD diagnoses were reported by participants annually and confirmed by medical record review by expert physicians using existing classification criteria. The primary endpoint was total incident AD, including rheumatoid arthritis (RA), polymyalgia rheumatica (PMR), autoimmune thyroid disease (AITD), psoriasis, and all others. Pre-specified secondary endpoints included individual common AD; and probable AD. Cox models calcuated hazard ratios (HR) for incident ADs.ResultsOf 25,871 participants randomized, 71% self-reported non-Hispanic Whites, 20% Black, 9% other racial/ethnic groups, 51% women, mean age was 67.1 years. During 7.5 years median follow-up, confirmed AD was diagnosed in 156 participants in vitamin D arm vs 198 in vitamin D placebo arm, HR 0.79 (0.64-0.97). Incident AD was confirmed in 167 participants in n-3 fatty acid arm and 187 in n-3 fatty acid placebo arm, HR 0.89 (0.72-1.10). For vitamin D, HRs trended toward reduction for RA 0.67 (0.37- 1.21), PMR 0.69 (0.46-1.03) and psoriasis 0.57 (0.33-0.99). For n-3 fatty acids, HRs trended toward reduction for RA 0.55 (0.30-1.10) and AITD 0.61 (0.33-1.12). Vitamin D’s effect on AD incidence was stronger in those with body mass index (BMI) < 25 (HR 0.65, 0.44-0.96) than ≥ 25 kg/m2 (p interaction 0.01).ConclusionSupplementation for 5.3 years with 2000 IU/day vitamin D (compared to placebo), followed by 2 years of observational follow-up, significantly reduced overall incident AD by 21% in older adults. HRs for RA, PMR and psoriasis trended toward reduction with vitamin D, with stronger effect in those with normal BMI. Supplementation with 1000 mg/day n-3 fatty acids did not significantly reduce total AD.References[1]Hahn J et al, BMJ, 2022 Jan 26;376: e066452.Table 1.Hazard Ratios for Primary and Secondary Endpoints, by Randomized Assignment to Vitamin D/Placebo (Left), N-3 Fatty Acids/Placebo (Right)aEndpointVitamin D3(N=12,927)Placebo (N=12,944)Hazard Ratio (95% CI)pN-3 Fatty Acids (N=12,933)Placebo (N=12,938)Hazard Ratio (95% CI)pPrimary: Confirmed AD1561980.79 (0.64-0.97)0.031671870.89 (0.72-1.10)0.27Secondary:Confirmed + probable AD2653210.83 (0.70-0.97)0.022713150.86 (0.73-1.01)0.06Excluding subjects with any pre-randomization AD Confirmed AD1271620. 79 (0.62-0.99)0.041411480.95 (0.75-1.20)0.66 Confirmed + probable AD2112700. 78 (0.65-0.94)0.0072322490.93 (0.78-1.11)0.41Excluding first 2 years follow-up Confirmed AD861300.66 (0.50-0.87)0.0031041120.92 (0.71-1.21)0.56 Confirmed + probable AD1472050.72 (0.58-0.89)0.0021721800.95 (0.77-1.17)0.63Individual ADb RA18270.67 (0.37-1.21)0.1816290.55 (0.30-1.01)0.06 PMR39570.69 (0.46-1.03)0.0746500.92 (0.61-1.37)0.67 AITD27181.50 (0.82-2.71)0.1917280.61 (0.33-1.12)0.11 Psoriasis20350.57 (0.33-0.99)0.0534211.62 (0.94-2.79)0.08aAnalyses from Cox regression models controlled for age, sex, race, and other (n-3 fatty acid or vitamin D) randomization group bConfirmed AD.Figure 1.Disclosure of InterestsKaren Costenbader Consultant of: Astra Zeneca, Glaxo Smith Kline, Neutrolis, Grant/research support from: Merck, Exagen, Gilead, Nancy Cook: None declared, I-min Lee: None declared, Jill Hahn: None declared, Joseph Walter: None declared, Vadim Bubes: None declared, Gregory Kotler: None declared, Nicole Yang: None declared, Sonia Friedman: None declared, Erik Alexander: None declared, JoAnn Manson: None declared.
Collapse
|
50
|
Zhong C, Xiong G, Lin L, Li Q, Chen X, Zhang X, Zhang Y, Xu S, Wang X, Gao D, Wu M, Yang S, Han W, Sun G, Yang X, Hao L, Jin Z, Yang N. The association of maternal vaginal bleeding and progesterone supplementation in early pregnancy with offspring outcomes: a prospective cohort study. BMC Pregnancy Childbirth 2022; 22:390. [PMID: 35513779 PMCID: PMC9074309 DOI: 10.1186/s12884-022-04711-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/26/2022] [Indexed: 11/25/2022] Open
Abstract
Background Progesterone is widely used to improve the adverse pregnancy outcomes related to vaginal bleeding during early pregnancy. However, the evidence of its effectiveness is equivocal. Methods Six thousand six hundred fifteen mother-infant pairs from Tongji Maternal and Child Health Cohort (TMCHC) were involved in the study. Information on vaginal bleeding, progesterone administration in early pregnancy were obtained at enrolment. Birth outcomes were obtained from the hospital notes. Body weight of the infants at 12 months of age was collected by telephone interview. Multivariable logistic regression was conducted to estimate the effect of vaginal bleeding and progesterone administration in early pregnancy on birth outcomes and weight status of infants at 12 months of age. Results 21.4% (1418/6615) participants experienced bleeding in early pregnancy, and 47.5% (674/1418) of them were treated with progesterone. There were no significant associations between progesterone supplementation in early pregnancy and offspring outcomes. Compared to women without bleeding or any therapy, women with bleeding and progesterone therapy experienced increased risk of preterm (OR 1.74, 95% CI 1.21–2.52), and delivering a small-for-gestational-age (SGA) (OR 1.46, 95% CI 1.07–1.98) or low birth weight (LBW) (OR 2.10, 95% CI 1.25–3.51) neonate, and offspring of them had an increased risk of weight for age z-score (WAZ) < -1 at 12 months of age (OR 1.79, 95%CI 1.01–3.19). Conclusions Offspring of mothers with bleeding and progesterone therapy were more likely to be a premature, SGA or LBW neonate, and had lower weight at 12 months of age. Progesterone supplementation may have no beneficial effect on improving adverse offspring outcomes related to early vaginal bleeding. Trial registration TMCHC was registered at clinicaltrials.gov as NCT03099837 on 4 April 2017. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04711-1.
Collapse
Affiliation(s)
- Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Shangzhi Xu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Duan Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Sen Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Weizhen Han
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan, China
| | - Guoqiang Sun
- Department of Obstetrics, Maternal, Child Health Hospital of Hubei Province, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Zhichun Jin
- Department of Integrated Traditional & Western Medicine, Maternal, Child Health Hospital of Hubei Province, Wuhan, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China.
| |
Collapse
|