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Fang NN, Wang ZH, Li SH, Ge YY, Liu X, Sui DX. Pulmonary Function in Metabolic Syndrome: A Meta-Analysis. Metab Syndr Relat Disord 2022; 20:606-617. [PMID: 36125502 DOI: 10.1089/met.2022.0045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Background: This study aims to systematically evaluate the association between metabolic syndrome (MS) and pulmonary function through meta-analysis. Methods: Electronic databases, including PubMed, Embase, Web of Science, and Cochrane Library, were systematically searched to obtain articles associated with MS and lung function published before December 31, 2021. According to the including and excluding criteria, certain studies were obtained and data were extracted. The Newcastle Ottawa Scale was used to evaluate the quality of the studies. A pooled standardized mean difference (SMD) was calculated by means of random-effects meta-analysis. Different effect models were used according to the heterogeneity. Meta-regression and sensitivity analyses were performed to examine the possible sources of heterogeneity. The Begg's funnel plot and Egger's test were used to evaluate publication bias. Analyses were performed using Stata MP, version14.0 (StataCorp LP, College Station, TX, USA). Results: A total of 15 studies, involving 10,285 cases of MS and 25,416 cases of control, were included in this meta-analysis on the relationship between MS and forced vital capacity (FVC). The pooled SMD for FVC was -0.247 (95% CI = -0.327 to -0.2167, P < 0.001) using random effect model, indicating the decrease of FVC in the patients with MS. In the same studies, the pooled SMD for forced expiratory volume in 1 sec (FEV1) was -0.205 (95% CI = -0.3278 to -0.133, P < 0.001), indicating the decrease of FEV1 also existed in the MS cases. A total of 13 studies, involving 8167 cases of MS and 19,788 cases of control, were included in this meta-analysis on the relationship between MS and FEV1/FVC. The pooled SMD for FEV1/FVC was 0.011 (95% CI = -0.072 to 0.093, P = 0.798) using random effect model, indicating that there was no significant difference between the patients with MS and the control. After introducing the diastolic blood pressure and glycemia into the regression model of the relationship between MS and FVC, the variance of the studies (tau2) decreased from 0.0190 to 0.006694 and 0.007205, which could explain 66.70% and 78.04% of the sources of heterogeneity, and the P values were 0.038 and 0.023. The results suggested that hypertension (diastolic pressure) and hyperglycemia were the factors linked to the heterogeneity among the included studies on both FVC and FEV1. The Begg's funnel plot and Egger's test both showed no evidence of publication bias. Conclusions: Our results show that FVC and FEV1 decrease in MS patients, while FEV1/FVC has no significant difference compared with the control group. It indicates that the patients with MS have restrictive ventilatory functional disturbance. Meta-regression analysis suggests that hypertension (diastolic pressure) and hyperglycemia are the factors linked to the heterogeneity among the included studies on both FVC and FEV1.
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Affiliation(s)
- Ning-Ning Fang
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Zhi-Hao Wang
- Department of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China.,Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Shao-Hua Li
- Department of Cardiology, Shandong Provincial Hospital of Shandong University, Jinan, Shandong, China
| | - Yu-Yan Ge
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xin Liu
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Dong-Xin Sui
- Department of Respiration, The Second Hospital of Shandong University, Jinan, Shandong, China
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Liu L, Feng Q, Wang Y, Zhao X, Guo S, Guo L, Liu G, Jiang L, Li Q, Pan B, Nie J, Yang J. Interaction of polycyclic aromatic hydrocarbon exposure and high-fasting plasma glucose on lung function decline in coke oven workers: a cross-lagged panel analysis. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 90:103811. [PMID: 35038546 DOI: 10.1016/j.etap.2022.103811] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/21/2021] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
Individuals with abnormal fasting plasma glucose (FPG) may be more susceptible to lung diseases associated with environmental pollutants. A cross-sectional survey of 629 workers in 2017 and a panel study of 304 workers from 2014 to 2019 were performed in China. The results showed that elevated total hydroxylated polycyclic aromatic hydrocarbon (ΣOH-PAH) concentration was associated with lower the percentage of predicted forced vital capacity (FVC%) among high-FPG workers (β for the cross-sectional analysis: -1.78%, 95%CI: -2.92%, -0.64%; β for the panel study: -1.10%, 95%CI: -2.19%, -0.02%). The absolute value of the cross-lagged path coefficient from FPG to FVC% (β2 = -0.096) was significantly greater than that from FVC% to FPG (β1 = 0.037). Our results suggest that FPG abnormalities may precede the lung function decline induced by PAH exposure and that high-FPG and high ΣOH-PAH levels have an interactive effect on lung function decline.
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Affiliation(s)
- Lu Liu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Quan Feng
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Yong Wang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Xinyu Zhao
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Shugang Guo
- Shanxi Provincial Center for Disease Control and Prevention, China
| | - Lan Guo
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Gaisheng Liu
- Center of Occupational Disease Prevention, Xishan Coal Electricity (Group) Co., Ltd, China
| | - Liuquan Jiang
- Center of Occupational Disease Prevention, Xishan Coal Electricity (Group) Co., Ltd, China
| | - Qiang Li
- Center of Occupational Disease Prevention, Xishan Coal Electricity (Group) Co., Ltd, China
| | - Baolong Pan
- General Hospital of Taiyuan Iron & Steel (Group) Co., Ltd, China
| | - Jisheng Nie
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Jin Yang
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China.
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Díez-Manglano J, Asìn Samper U. Pulmonary function tests in type 2 diabetes: a meta-analysis. ERJ Open Res 2021; 7:00371-2020. [PMID: 33569495 PMCID: PMC7861023 DOI: 10.1183/23120541.00371-2020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 09/30/2020] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVES The aim of this study was to determine the association between type 2 diabetes (T2D) and pulmonary function tests. METHODS After conducting an exhaustive literature search, we performed a meta-analysis. We employed the inverse variance method with a random-effects model to calculate the effect estimate as the mean difference (MD) and 95% confidence interval (CI). We calculated the heterogeneity with the I2 statistic and performed a meta-regression analysis by sex, body mass index (BMI), smoking and geographical region. We also conducted a sensitivity analysis according to the studies' publication date, size of the T2D group and the study quality, excluding the study with the greatest weight in the effect. RESULTS The meta-analysis included 66 studies (one longitudinal, two case-control and 63 cross-sectional), with 11 134 patients with T2D and 48 377 control participants. The pooled MD (95% CI) for the predicted percentage of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), forced expiratory flow at 25-75% of FVC, peak expiratory flow, and diffusing capacity of the lung for carbon monoxide were -7.15 (95% CI -8.27, -6.03; p<0.001), -9.21 (95% CI -11.15, -7.26; p<0.001), -9.89 (95% CI -14.42, -5.36; p<0.001), -9.79 (95% CI -13.42, -6.15; p<0.001) and -7.13 (95% CI -10.62, -3.64; p<0.001), respectively. There was no difference in the ratio of FEV1/FVC (95% CI -0.27; -1.63, 1.08; p=0.69). In all cases, there was considerable heterogeneity. The meta-regression analysis showed that between studies heterogeneity was not explained by patient sex, BMI, smoking or geographical region. The findings were consistent in the sensitivity analysis. CONCLUSIONS T2D is associated with impaired pulmonary function, independently of sex, smoking, BMI and geographical region. Longitudinal studies are needed to investigate outcomes for patients with T2D and impaired pulmonary function.
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Affiliation(s)
| | - Uxua Asìn Samper
- Dept of Internal Medicine, University Hospital Miguel Servet, Zaragoza, Spain
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Lecube A, Simó R, Pallayova M, Punjabi NM, López-Cano C, Turino C, Hernández C, Barbé F. Pulmonary Function and Sleep Breathing: Two New Targets for Type 2 Diabetes Care. Endocr Rev 2017; 38:550-573. [PMID: 28938479 DOI: 10.1210/er.2017-00173] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 08/29/2017] [Indexed: 02/07/2023]
Abstract
Population-based studies showing the negative impact of type 2 diabetes (T2D) on lung function are overviewed. Among the well-recognized pathophysiological mechanisms, the metabolic pathways related to insulin resistance (IR), low-grade chronic inflammation, leptin resistance, microvascular damage, and autonomic neuropathy are emphasized. Histopathological changes are exposed, and findings reported from experimental models are clearly differentiated from those described in humans. The accelerated decline in pulmonary function that appears in patients with cystic fibrosis (CF) with related abnormalities of glucose tolerance and diabetes is considered as an example to further investigate the relationship between T2D and the lung. Furthermore, a possible causal link between antihyperglycemic therapies and pulmonary function is examined. T2D similarly affects breathing during sleep, becoming an independent risk factor for higher rates of sleep apnea, leading to nocturnal hypoxemia and daytime sleepiness. Therefore, the impact of T2D on sleep breathing and its influence on sleep architecture is analyzed. Finally, the effect of improving some pathophysiological mechanisms, primarily IR and inflammation, as well as the optimization of blood glucose control on sleep breathing is evaluated. In summary, the lung should be considered by those providing care for people with diabetes and raise the central issue of whether the normalization of glucose levels can improve pulmonary function and ameliorate sleep-disordered breathing. Therefore, patients with T2D should be considered a vulnerable group for pulmonary dysfunction. However, further research aimed at elucidating how to screen for the lung impairment in the population with diabetes in a cost-effective manner is needed.
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Affiliation(s)
- Albert Lecube
- Endocrinology and Nutrition Department, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomédica de Lleida, Universitat de Lleida, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Spain
| | - Rafael Simó
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Spain.,Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Spain
| | - Maria Pallayova
- Department of Medicine, Weill Cornell Medicine.,Department of Human Physiology and Sleep Laboratory, Faculty of Medicine, Pavol Jozef Šafárik University, Slovak Republic
| | - Naresh M Punjabi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University.,Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University
| | - Carolina López-Cano
- Endocrinology and Nutrition Department, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomédica de Lleida, Universitat de Lleida, Spain
| | - Cecilia Turino
- Respiratory Department, Hospital Universitari Arnau de Vilanova-Santa María, Institut de Recerca Biomédica de Lleida, Universitat de Lleida, Spain
| | - Cristina Hernández
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Spain.,Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Spain
| | - Ferran Barbé
- Respiratory Department, Hospital Universitari Arnau de Vilanova-Santa María, Institut de Recerca Biomédica de Lleida, Universitat de Lleida, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Spain
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