Liang Guo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Liang Guo has a total of 33 co-authors. Here are the top co-authors by number of shared publications:
- Yingxian Sun
Department of Cardiology, the First Hospital of China Medical University, Shenyang, Liaoning, China
4 shared publications - Xiaofan Guo
Department of Cardiology, the First Hospital of China Medical University, Shenyang 110001, China
3 shared publications Changbin Liang
Department of Cardiology, First Hospital of China Medical University, Shenyang, China
2 shared publicationsHaishan Zhang
Department of Cardiology, First Hospital of China Medical University, Shenyang, China
2 shared publications- Hongmei Yang
Department of Cardiology, The First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang 110001, China
2 shared publications Jun Wang
Department of Anesthesia, First Hospital of China Medical University, Shenyang, China
2 shared publications
Latest Publications
- Open Access
- 22 January 2025
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 16, 1541483
Corrigendum: Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves
In the published article, there was an error in Table2 as published. It does not match the data in my initial submission. Instead, it is identical to a table from another article submitted under the same account by our research group. The corrected Table2 and its caption "Material parameters for self-expandable stent" appear below.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
- 22 January 2025
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 16, 1541483
Open AccessCorrigendum: Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves
In the published article, there was an error in Table2 as published. It does not match the data in my initial submission. Instead, it is identical to a table from another article submitted under the same account by our research group. The corrected Table2 and its caption "Material parameters for self-expandable stent" appear below.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
- Open Access
- 17 October 2024
- Published by Springer Nature in Anesthesiology and Perioperative Science
- Vol. 2 (4) , 1-4
Choledochectomy following transcatheter aortic valve replacement for aortic valve stenosis
- 17 October 2024
- Published by Springer Nature in Anesthesiology and Perioperative Science
- Vol. 2 (4) , 1-4
Open AccessCholedochectomy following transcatheter aortic valve replacement for aortic valve stenosis
- Open Access
- 6 June 2024
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 15, 1407215
Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves
Transcatheter aortic valve replacement (TAVR) is a minimally invasive interventional solution for treating aortic stenosis. The complex post-TAVR complications are associated with the type of valve implanted and the position of the implantation. The study aimed to establish a rapid numerical research method for TAVR to assess the performance differences of self-expanding valves released at various positions. It also aimed to calculate the risks of postoperative paravalvular leak and atrioventricular conduction block, comparing these risks to clinical outcomes to verify the method’s effectiveness and accuracy. Based on medical images, six cases were established, including the aortic wall, native valve and calcification; one with a bicuspid aortic valve and five with tricuspid aortic valves. The parameters for the stent materials used by the patients were customized. High strain in the contact area between the stent and the valve annulus may lead to atrioventricular conduction block. Postoperatively, the self-expanding valve maintained a circular cross-section, reducing the risk of paravalvular leak and demonstrating favorable hemodynamic characteristics, consistent with clinical observations. The outcomes of the six simulations showed no significant difference in valve frame morphology or paravalvular leak risk compared to clinical results, thereby validating the numerical simulation process proposed for quickly selecting valve models and optimal release positions, aiding in TAVR preoperative planning based on patients’geometric characteristics.
- 6 June 2024
- Published by Frontiers Media SA in Frontiers in Physiology
- Vol. 15, 1407215
Open AccessComputational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves
Transcatheter aortic valve replacement (TAVR) is a minimally invasive interventional solution for treating aortic stenosis. The complex post-TAVR complications are associated with the type of valve implanted and the position of the implantation. The study aimed to establish a rapid numerical research method for TAVR to assess the performance differences of self-expanding valves released at various positions. It also aimed to calculate the risks of postoperative paravalvular leak and atrioventricular conduction block, comparing these risks to clinical outcomes to verify the method’s effectiveness and accuracy. Based on medical images, six cases were established, including the aortic wall, native valve and calcification; one with a bicuspid aortic valve and five with tricuspid aortic valves. The parameters for the stent materials used by the patients were customized. High strain in the contact area between the stent and the valve annulus may lead to atrioventricular conduction block. Postoperatively, the self-expanding valve maintained a circular cross-section, reducing the risk of paravalvular leak and demonstrating favorable hemodynamic characteristics, consistent with clinical observations. The outcomes of the six simulations showed no significant difference in valve frame morphology or paravalvular leak risk compared to clinical results, thereby validating the numerical simulation process proposed for quickly selecting valve models and optimal release positions, aiding in TAVR preoperative planning based on patients’geometric characteristics.
- Open Access
- 29 July 2016
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 13 (8) , 770
Prevalence and Risk Factors of Heart Failure with Preserved Ejection Fraction: A Population-Based Study in Northeast China
Background: Heart failure with preserved ejection fraction (HFpEF) has attracted increasing attention worldwide. We aimed to estimate the prevalence of HFpEF and analyze its correlates in a sample of residents of northeast China; Methods: A population-based study of 2230 participants ≥35 years old was conducted in rural areas of Liaoning Province from January 2012 through August 2013. Information about lifestyle and other potential risk factors was obtained. HFpEF was diagnosed according to the recommendations of European Society of Cardiology; Results: The overall prevalence of HFpEF was 3.5% (1.8% in men and 4.9% in women). The prevalence of HFpEF increased with age in both genders and was greater in women than in men for every age group. Multivariable logistic regression analysis found that female gender (OR, 3.575; 95% CI, 1.761–7.256), hypertension (OR, 3.711; 95% CI, 2.064–6.674), and history of heart disease (2.086; 95% CI, 1.243–3.498) were associated factors for prevalent HFpEF; Conclusions: In a general population from rural northeast China, we found that female gender, hypertension, and history of heart disease were risk factors for prevalent HFpEF.
- 29 July 2016
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 13 (8) , 770
Open AccessPrevalence and Risk Factors of Heart Failure with Preserved Ejection Fraction: A Population-Based Study in Northeast China
Background: Heart failure with preserved ejection fraction (HFpEF) has attracted increasing attention worldwide. We aimed to estimate the prevalence of HFpEF and analyze its correlates in a sample of residents of northeast China; Methods: A population-based study of 2230 participants ≥35 years old was conducted in rural areas of Liaoning Province from January 2012 through August 2013. Information about lifestyle and other potential risk factors was obtained. HFpEF was diagnosed according to the recommendations of European Society of Cardiology; Results: The overall prevalence of HFpEF was 3.5% (1.8% in men and 4.9% in women). The prevalence of HFpEF increased with age in both genders and was greater in women than in men for every age group. Multivariable logistic regression analysis found that female gender (OR, 3.575; 95% CI, 1.761–7.256), hypertension (OR, 3.711; 95% CI, 2.064–6.674), and history of heart disease (2.086; 95% CI, 1.243–3.498) were associated factors for prevalent HFpEF; Conclusions: In a general population from rural northeast China, we found that female gender, hypertension, and history of heart disease were risk factors for prevalent HFpEF.
- Open Access
- 6 February 2016
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 13 (2) , 207
Modified Ideal Cardiovascular Health Status is Associated with Lower Prevalence of Stroke in Rural Northeast China
Background: In 2010, the American Heart Association developed a new definition of ideal cardiovascular health (CVH) based on seven cardiovascular health metrics. This study aimed to investigate the relationship between modified ideal CVH metrics and the risk of stroke in the rural population of Northeast China. Methods: We included 11,417 adults from the rural population in Northeast China and collected all the information, including the baseline characteristics, history of stroke, and the seven ideal CVH metrics. Results: Our results showed that the presence of stroke was associated with high body mass index (BMI), poor diet score (salt intake), high total cholesterol (TC), high blood pressure (BP), and high fasting plasma glucose (FPG). The prevalence of stroke increased as the number of ideal CVH metrics decreased, and peaked to 13.1% among those with only one ideal CVH metric. Participants with only one ideal CVH had a 4.40-fold increased susceptibility of stroke than those with all seven ideal health metrics. Conclusion: This study revealed that people with a better CVH status had a lower prevalence of stroke and the susceptibility of stroke increased with the decreasing of the number of ideal CVH metrics.
- 6 February 2016
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 13 (2) , 207
Open AccessModified Ideal Cardiovascular Health Status is Associated with Lower Prevalence of Stroke in Rural Northeast China
Background: In 2010, the American Heart Association developed a new definition of ideal cardiovascular health (CVH) based on seven cardiovascular health metrics. This study aimed to investigate the relationship between modified ideal CVH metrics and the risk of stroke in the rural population of Northeast China. Methods: We included 11,417 adults from the rural population in Northeast China and collected all the information, including the baseline characteristics, history of stroke, and the seven ideal CVH metrics. Results: Our results showed that the presence of stroke was associated with high body mass index (BMI), poor diet score (salt intake), high total cholesterol (TC), high blood pressure (BP), and high fasting plasma glucose (FPG). The prevalence of stroke increased as the number of ideal CVH metrics decreased, and peaked to 13.1% among those with only one ideal CVH metric. Participants with only one ideal CVH had a 4.40-fold increased susceptibility of stroke than those with all seven ideal health metrics. Conclusion: This study revealed that people with a better CVH status had a lower prevalence of stroke and the susceptibility of stroke increased with the decreasing of the number of ideal CVH metrics.
- Open Access
- 8 October 2014
- Published by Springer Nature in BMC Public Health
- Vol. 14 (1) , 1046
An update on overweight and obesity in rural Northeast China: from lifestyle risk factors to cardiometabolic comorbidities
Not enough is known about the prevalence of overweight and obesity in rural China in the current decade. We aim to update our knowledge of the prevalence of obesity and its associated risk factors and comorbidities in a large population sample in rural Northeast China. A population-based survey of 11,579 participants aged 35 years and older was conducted in rural areas of Liaoning Province during 2012–2013. Anthropometric measurements, information on health-related variables and blood biochemical indexes were collected by well-trained personnel. The prevalence of general obesity and overweight was found to be 7.8% and 37.2%, respectively. The overall prevalence of abdominal obesity was 15.1%. Female gender, ethnic minority, middle-school education and a family income of 5,000–20,000 CNY per year were found to be risk factors for general obesity, while older age, female gender, ethnic minority and longer sleep duration (>8 h/d) increased the risk of abdominal obesity, after adjusting for confounders. Overweight and obese participants had significantly higher risks to develop prehypertension, hypertension, high LDL-C and low HDL-C compared with normal weight participants, while abdominal obesity was associated with increased risks of diabetes and high TG after adjusted for multiple factors. Compared with participants with a normal BMI and no abdominal obesity, the participants classified as abdominally obese and normal BMI; as abdominally obese and overweight; and abdominally obese and generally obese each had a progressive increase in the odds of hypertension (OR: 1.961, 95% CI: 1.154 to 3.331, OR: 2.744, 95% CI: 2.126 to 3.541, and OR: 8.990, 95% CI: 5.858 to 13.795, respectively) and high TG (OR: 3.165, 95% CI: 2.183 to 4.588, OR: 3.980, 95% CI: 3.332 to 4.755, and OR: 4.340, 95% CI: 3.574 to 5.271, respectively). The prevalence of obesity in rural Northeast China exhibited a remarkably increasing upwards trend. General and abdominal obesity were associated with different subtypes of cardiometabolic comorbidities, the combined effects of which on the comorbidities dramatically increased.
- 8 October 2014
- Published by Springer Nature in BMC Public Health
- Vol. 14 (1) , 1046
Open AccessAn update on overweight and obesity in rural Northeast China: from lifestyle risk factors to cardiometabolic comorbidities
Not enough is known about the prevalence of overweight and obesity in rural China in the current decade. We aim to update our knowledge of the prevalence of obesity and its associated risk factors and comorbidities in a large population sample in rural Northeast China. A population-based survey of 11,579 participants aged 35 years and older was conducted in rural areas of Liaoning Province during 2012–2013. Anthropometric measurements, information on health-related variables and blood biochemical indexes were collected by well-trained personnel. The prevalence of general obesity and overweight was found to be 7.8% and 37.2%, respectively. The overall prevalence of abdominal obesity was 15.1%. Female gender, ethnic minority, middle-school education and a family income of 5,000–20,000 CNY per year were found to be risk factors for general obesity, while older age, female gender, ethnic minority and longer sleep duration (>8 h/d) increased the risk of abdominal obesity, after adjusting for confounders. Overweight and obese participants had significantly higher risks to develop prehypertension, hypertension, high LDL-C and low HDL-C compared with normal weight participants, while abdominal obesity was associated with increased risks of diabetes and high TG after adjusted for multiple factors. Compared with participants with a normal BMI and no abdominal obesity, the participants classified as abdominally obese and normal BMI; as abdominally obese and overweight; and abdominally obese and generally obese each had a progressive increase in the odds of hypertension (OR: 1.961, 95% CI: 1.154 to 3.331, OR: 2.744, 95% CI: 2.126 to 3.541, and OR: 8.990, 95% CI: 5.858 to 13.795, respectively) and high TG (OR: 3.165, 95% CI: 2.183 to 4.588, OR: 3.980, 95% CI: 3.332 to 4.755, and OR: 4.340, 95% CI: 3.574 to 5.271, respectively). The prevalence of obesity in rural Northeast China exhibited a remarkably increasing upwards trend. General and abdominal obesity were associated with different subtypes of cardiometabolic comorbidities, the combined effects of which on the comorbidities dramatically increased.
- Open Access
- 9 October 2013
- Published by Springer Nature in BMC Medical Genetics
- Vol. 14 (1) , 109
Association of interleukin-33 gene single nucleotide polymorphisms with ischemic stroke in north Chinese population
Background: IL-33, an IL-1-like cytokine, is a ligand for IL1RL1, which is an important effector molecule of type 2 T helper responses. Although IL-33/IL1RL1 interaction has been suggested to be important in the development of atherosclerosis, genetic influences of the polymorphisms of IL33 in human ischemic stroke are unclear. The aim of this study was to examine whether the single nucleotide polymorphisms in IL33 are associated with ischemic stroke in Northern Chinese population. Methods: We used a nested case–control study involving 90 ischemic stroke patients and 270 age-matched, sex-matched and blood pressure-matched non-ischemic stroke controls from a rural population and determined the genotypes of four polymorphisms (rs1929992, rs10975519, rs4742170, rs16924159) in IL33 by Snapshot SNP genotyping assays to assess any links with ischemic stroke. Results: Univariate analysis showed two single nucleotide polymorphisms (rs1929992, rs4742170) in IL33 were associated with ischemic stroke in additive, dominant, and recessive model. Binary Logistic Regression shows that rs4742170 variation is the most important factor associated with ischemic stroke (adjusted odds ratio (OR) = 1.880, 95% confidence interval (CI) = 1.316-2.686 in an additive model; OR = 2.091, CI = 1.249-3.498 in a dominant model; OR = 2.623, CI = 1.366-5.036 in a recessive model). Conclusion: In this sample of patients, genetic variation of rs4742170 in IL33 is significantly associated with the developing of ischemic stroke.
- 9 October 2013
- Published by Springer Nature in BMC Medical Genetics
- Vol. 14 (1) , 109
Open AccessAssociation of interleukin-33 gene single nucleotide polymorphisms with ischemic stroke in north Chinese population
Background: IL-33, an IL-1-like cytokine, is a ligand for IL1RL1, which is an important effector molecule of type 2 T helper responses. Although IL-33/IL1RL1 interaction has been suggested to be important in the development of atherosclerosis, genetic influences of the polymorphisms of IL33 in human ischemic stroke are unclear. The aim of this study was to examine whether the single nucleotide polymorphisms in IL33 are associated with ischemic stroke in Northern Chinese population. Methods: We used a nested case–control study involving 90 ischemic stroke patients and 270 age-matched, sex-matched and blood pressure-matched non-ischemic stroke controls from a rural population and determined the genotypes of four polymorphisms (rs1929992, rs10975519, rs4742170, rs16924159) in IL33 by Snapshot SNP genotyping assays to assess any links with ischemic stroke. Results: Univariate analysis showed two single nucleotide polymorphisms (rs1929992, rs4742170) in IL33 were associated with ischemic stroke in additive, dominant, and recessive model. Binary Logistic Regression shows that rs4742170 variation is the most important factor associated with ischemic stroke (adjusted odds ratio (OR) = 1.880, 95% confidence interval (CI) = 1.316-2.686 in an additive model; OR = 2.091, CI = 1.249-3.498 in a dominant model; OR = 2.623, CI = 1.366-5.036 in a recessive model). Conclusion: In this sample of patients, genetic variation of rs4742170 in IL33 is significantly associated with the developing of ischemic stroke.