ObjectiveThis study aimed to compare the effects of aerobic training, resistance training, and aerobic training combined with resistance training on blood lipid levels for patients with hypertension using network meta-analysis. MethodsWe searched the CNKI, VIP, WanFang Data, PubMed, Web of Science, The Cochrane Library, and EMbase databases to collect randomized controlled trials (RCTs) on the effects of exercise on blood lipid levels among patients with hypertension from inception to September 16th, 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Stata 15.1 software and RevMan 5.0 software were then used to perform network meta-analysis. ResultsA total of 29 RCTs involving 2 519 patients were included. Compared with the control group, aerobic training (MD=−0.47, 95%CI −0.62 to −0.319, P<0.001), resistance training (MD=−0.37, 95%CI −0.63 to −0.11, P<0.05), and aerobic training combined with resistance training (MD=−0.61, 95%CI 0.88 to −0.34, P=0.005) reduced total cholesterol levels; aerobic training (MD=0.14, 95%CI 0.08 to 0.20, P<0.001), resistance training (MD=0.10, 95%CI 0.02 to 0.19, P<0.05), and aerobic training combined with resistance training (MD=0.12, 95%CI 0.02 to 0.23, P=0.038) increased high-density lipoproteins; aerobic training (MD=−0.32, 95%CI −0.48 to −0.15, P=0.001), resistance training (MD=−0.19, 95%CI −0.48 to −0.01, P<0.05), and aerobic training combined with resistance training (MD=−0.40, 95%CI −0.70 to −0.11, P<0.05) reduced low-density lipoproteins. The SUCRA probability sorting results showed that aerobic training had the most significant effect on the improvement of systolic blood pressure and diastolic blood pressure; aerobic exercise combined with resistance training had the largest effect on total cholesterol, triglycerides, low-density lipoproteins, and high-density lipoproteins. ConclusionsAerobic training combined with resistance training is the most effective exercise method to improve blood lipid levels for patients with hypertension. Due to the limited quantity and quality of the included studies, the above conclusions are needed to be verified by more high-quality studies.
ObjectiveTo investigate the characteristic volatile organic compounds (VOCs) in exhaled breath and their diagnostic value in patients with early stage lung cancer.MethodsSolid-phase micro-extraction combined with gas chromatography mass spectrometry was used to analyze exhaled breath VOCs of 117 patients with early stage lung cancer (54 males and 63 females, with an average age of 61.9±6.8 years) and 130 healthy subjects (79 males and 51 females, with an average age of 63.3±6.6 years. The characteristic VOCs of early stage lung cancer were identified, and a diagnostic model was established.ResultsTen characteristic VOCs of early stage lung cancer were identified, including acetic acid, n-butanol, dimethylsilanol, toluene, 2,3,4-trimethylheptane, 3,4-dimethylbenzoic acid, 5-methyl-3-hexene-2-ketone, n-hexanol, methyl 2-oxoglutarate and 4-methoxyphenol. Gender and the 10 characteristic VOCs were included in the diagnostic model, with a sensitivity of 83.8% and a specificity of 96.2%.ConclusionAnalysis of exhaled breath VOCs is expected to be one of the potential methods used for early stage lung cancer diagnosis.
Being a non-invasive diagnostic technique for molecular biological markers, exhaled breath detection has the most latent capacity and future in the diagnosis and treatment of tumors. The National Key Research and Development Plan named "Strategic Advanced Electronic Materials" in 2020 has laid out the application of exhaled breath detection technology in the medical field, and the scientific research project led by Sichuan Cancer Hospital has been successfully launched. For the moment, as a novel strategy for early detection of lung cancer, exhaled breath detection is being perfected further and popularized or put in clinical practice step by step to reduce the mortality of lung cancer patients.
ObjectiveTo investigate the predictive value of volatile organic compounds (VOCs) on pulmonary nodules in people aged less than 50 years.MethodsThe 147 patients with pulmonary nodules and aged less than 50 years who were treated in the Department of Thoracic Surgery of Sichuan Cancer Hospital from August 1, 2019 to January 15, 2020 were divided into a lung cancer group and a lung benign disease group. The lung cancer group included 36 males and 68 females, with the age of 27-49 (43.54±5.73) years. The benign lung disease group included 23 males and 20 females, with the age of 22-49 (42.49±6.83) years. Clinical data and exhaled breath samples were collected prospectively from the two groups. Exhaled breath VOCs were analyzed by gas chromatography mass spectrometry. Binary logistic regression analysis was used to select variables and establish a prediction model. The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve of the prediction model were calculated.ResultsThere were statistically significant differences in sex (P=0.034), smoking history (P=0.047), cyclopentane (P=0.002), 3-methyl pentane (P=0.043) and ethylbenzene (P=0.009) between the two groups. The sensitivity, specificity and area under the ROC curve of the prediction model with gender, cyclopentane, 3-methyl pentane, ethylbenzene and N,N-dimethylformamide as variables were 80.8%, 60.5% and 0.781, respectively.ConclusionThe combination of VOCs and clinical characteristics has a certain predictive value for the benign and malignant pulmonary nodules in people aged less than 50 years.