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Siddiqi TJ, Usman MS, Siddiqui A, Salman A, Talbot N, Khan LA, Shabbir A, Hall ME, Taffet GE. Association of low diastolic blood pressure with cardiovascular outcomes and all-cause mortality: A meta-analysis. Curr Probl Cardiol 2024; 49:102131. [PMID: 37866417 DOI: 10.1016/j.cpcardiol.2023.102131] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 10/14/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Reduction of diastolic blood pressure (DBP) below 70 mmHg may decrease perfusion to the heart and worsen cardiovascular (CV) outcomes. AIMS Explore the association between low DBP and CV outcomes. METHODS We searched the online databases until August 2023 for studies reporting the risk of all-cause mortality (ACM) or CV outcomes in patients with low versus normal DBP (70-80mm Hg). RESULTS Inclusion of 10 studies (n = 1,998,223 patients) found that a mean achieved DBP < 60 mmHg was associated with an increased risk of all-cause mortality (HR 1.48; 95 % CI [1.26-1.74]), especially in patients with pre-existing CV disease. It was also associated to a higher risk of major adverse cardiovascular events (HR 1.84; [1.28-2.65]) and myocardial infarction (HR 1.49; [1.13-1.97]). A DBP of 60-69 mmHg was associated with an increased risk of all-cause mortality (HR 1.11; [1.03-1.20]). CONCLUSION Reduction of DBP, particularly below 60 mmHg, is associated with increased risk of ACM.
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Affiliation(s)
- Tariq Jamal Siddiqi
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Amna Siddiqui
- Department of Medicine, Karachi Medical and Dental College, Karachi, Pakistan
| | - Ali Salman
- Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan
| | - Nicholas Talbot
- Department of Medicine, University of Texas Southwestern, Dallas, TX, USA
| | - Laibah Arshad Khan
- Department of Medicine, King Edward Medical University, Lahore, Pakistan
| | - Aisha Shabbir
- Department of Medicine, King Edward Medical University, Lahore, Pakistan
| | - Michael E Hall
- Associate Division Director, Division of Cardiovascular Diseases, Department of Medicine, University of Mississippi Medical Center
| | - George E Taffet
- Professor of Medicine-Geriatrics, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Professor of Medicine, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
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Ying H, Gao L, Liao N, Xu X, Yu W, Hong W. Association between niacin and mortality among patients with cancer in the NHANES retrospective cohort. BMC Cancer 2022; 22:1173. [PMCID: PMC9661743 DOI: 10.1186/s12885-022-10265-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background
The vitamin niacin is used as a lipid-regulating supplement, but it is unknown whether niacin has a positive influence on cancer prognosis. In this study, we examine the relationship between niacin intake and mortality among patients with cancer.
Methods
Our study utilized all available continuous data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. Multivariable Cox regression models were applied in order to investigate dietary niacin intake’s association with mortality. We compared the survival probability between groups of low and high niacin intake by plotting Kaplan-Meier curves. An analysis of subgroups was used to investigate heterogeneity sources.
Results
A total of 3504 participants were included in the cohort, with 1054 deaths. One thousand eight hundred forty-seven participants (52.3%) were female, 2548 participants (73.4%) were white, and the mean age (SE) was 65.38 years (0.32). According to multivariate logistic regression analysis, niacin intake was negatively associated with mortality outcomes in patients with cancer, with P values below 0.05 in all models. In subgroup analyses based on sex, age, and BMI, the association persisted. The Kaplan-Meier curves indicate that high niacin intake groups have better survival rates than low intake groups. Niacin supplementation improved cancer mortality but not all-cause mortality.
Conclusion
According to our study, higher dietary niacin intake was associated with lower mortality in cancer patients. Niacin supplements improved cancer survival rates, but not all causes of mortality.
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Cheng H, Li G, Dai J, Zhang K, Xu T, Wei L, Zhang X, Ding D, Hou J, Li J, Zhuang J, Tan K, Guo R. A fluid-structure interaction model accounting arterial vessels as a key part of the blood-flow engine for the analysis of cardiovascular diseases. Front Bioeng Biotechnol 2022; 10:981187. [PMID: 36061431 PMCID: PMC9438578 DOI: 10.3389/fbioe.2022.981187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
According to the classical Windkessel model, the heart is the only power source for blood flow, while the arterial system is assumed to be an elastic chamber that acts as a channel and buffer for blood circulation. In this paper we show that in addition to the power provided by the heart for blood circulation, strain energy stored in deformed arterial vessels in vivo can be transformed into mechanical work to propel blood flow. A quantitative relationship between the strain energy increment and functional (systolic, diastolic, mean and pulse blood pressure) and structural (stiffness, diameter and wall thickness) parameters of the aorta is described. In addition, details of blood flow across the aorta remain unclear due to changes in functional and other physiological parameters. Based on the arterial strain energy and fluid-structure interaction theory, the relationship between physiological parameters and blood supply to organs was studied, and a corresponding mathematical model was developed. The findings provided a new understanding about blood-flow circulation, that is, cardiac output allows blood to enter the aorta at an initial rate, and then strain energy stored in the elastic arteries pushes blood toward distal organs and tissues. Organ blood supply is a key factor in cardio-cerebrovascular diseases (CCVD), which are caused by changes in blood supply in combination with multiple physiological parameters. Also, some physiological parameters are affected by changes in blood supply, and vice versa. The model can explain the pathophysiological mechanisms of chronic diseases such as CCVD and hypertension among others, and the results are in good agreement with epidemiological studies of CCVD.
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Affiliation(s)
- Heming Cheng
- Department of Mechanics, Kunming University of Science and Technology, Kunming, China
- *Correspondence: Heming Cheng, ; Ke Zhang,
| | - Gen Li
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Jifeng Dai
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Ke Zhang
- Department of Mechanics, Kunming University of Science and Technology, Kunming, China
- Department of Hydraulic Engineering, Kunming University of Science and Technology, Kunming, China
- *Correspondence: Heming Cheng, ; Ke Zhang,
| | - Tianrui Xu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Liuchuang Wei
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Xue Zhang
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Dongfang Ding
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Jie Hou
- Department of Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Jianyun Li
- Department of Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Jiangping Zhuang
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Kaijun Tan
- Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, China
| | - Ran Guo
- Department of Mechanics, Kunming University of Science and Technology, Kunming, China
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