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Liew G, Xie J, Nguyen H, Keay L, Kamran Ikram M, McGeechan K, Klein BEK, Jin Wang J, Mitchell P, Klaver CCW, Lamoureux EL, Wong TY. Hypertensive retinopathy and cardiovascular disease risk: 6 population-based cohorts meta-analysis. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2023; 17:200180. [PMID: 36936860 PMCID: PMC10020621 DOI: 10.1016/j.ijcrp.2023.200180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/13/2023] [Accepted: 02/22/2023] [Indexed: 03/07/2023]
Abstract
Background The cardiovascular risk associated with different levels of hypertensive retinopathy, including mild, remains unclear. We performed an individual participant meta-analysis from 6 population-based cohort studies to determine the relationship of hypertensive retinopathy with incident cardiovascular outcomes. Methods We identified cohort studies that objectively assessed hypertensive retinopathy from photographs, documented incident cardiovascular outcomes, and were population-based. Six studies contributed data from 11,013 individuals at baseline with 5-13 years follow-up. Participants were recruited if they had hypertension and did not have confounding conditions such as diabetic retinopathy. Main outcome measures were incident coronary heart disease (CHD), stroke and a composite endpoint of cardiovascular disease (CHD or stroke). Pooled estimates of incident risk ratios (IRR) were obtained after adjusting for age, gender, systolic blood pressure, serum total cholesterol, high density lipoprotein and smoking. Results Among eligible participants with hypertension and without diabetes, there were 1018/9662 (10.5%) incident CHD events, 708/11,013 (6.4%) incident stroke events and 1317/9378 (14.0%) incident CVD events. Mild hypertensive retinopathy was associated with increased risk of CVD (IRR 1.13, 95% CI 1.00 to 1.27) and CHD (IRR 1.17, 95% CI 1.02 to 1.34) but not stroke; moderate hypertensive retinopathy was associated with increased risk of CVD (IRR 1.25 95% CI 1.02 to 1.53) but not stroke or CHD individually. Conclusions In persons with hypertension, both mild and moderate hypertensive retinopathy were associated with higher CVD risk.
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Affiliation(s)
- Gerald Liew
- Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Corresponding author. Centre for Vision Research, The Westmead Institute for Medical Research, The University of Sydney, 176 Hawkesbury Road, Westmead, NSW, 2145, Australia.
| | - Jing Xie
- Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Helen Nguyen
- Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- School of Optometry and Vision Science, University of New South Wales, Sydney, Australia
| | - Lisa Keay
- School of Optometry and Vision Science, University of New South Wales, Sydney, Australia
| | - M. Kamran Ikram
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Duke-NUS Graduate Medical School, National University of Singapore, Singapore
| | - Kevin McGeechan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Screening and Test Evaluation Program, School of Public Health, University of Sydney, Sydney, Australia
| | - Barbara EK. Klein
- Department of Ophthalmology & Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jie Jin Wang
- Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
- Screening and Test Evaluation Program, School of Public Health, University of Sydney, Sydney, Australia
| | - Paul Mitchell
- Centre for Vision Research, Department of Ophthalmology, The Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia
| | - Caroline CW. Klaver
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Ecosse L. Lamoureux
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Screening and Test Evaluation Program, School of Public Health, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Tien Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Screening and Test Evaluation Program, School of Public Health, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
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Orozco Torres JA, Medina Santiago A, Villegas Izaguirre JM, Amador García M, Delgado Hernández A. Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health. SENSORS (BASEL, SWITZERLAND) 2022; 22:5272. [PMID: 35890963 PMCID: PMC9316039 DOI: 10.3390/s22145272] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/01/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
This paper presents the development of a multilayer feed-forward neural network for the diagnosis of hypertension, based on a population-based study. For the development of this architecture, several physiological factors have been considered, which are vital to determining the risk of being hypertensive; a diagnostic system can offer a solution which is not easy to determine by conventional means. The results obtained demonstrate the sustainability of health conditions affecting humanity today as a consequence of the social environment in which we live, e.g., economics, stress, smoking, alcoholism, drug addiction, obesity, diabetes, physical inactivity, etc., which leads to hypertension. The results of the neural network-based diagnostic system show an effectiveness of 90%, thus generating a high expectation in diagnosing the risk of hypertension from the analyzed physiological data.
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Affiliation(s)
- Jorge Antonio Orozco Torres
- TecNM, Campus Tuxtla Gutiérrez, Carretera Panamericana Kilometro 1080, Tuxtla Gutiérrez 29050, Chiapas, Mexico
| | - Alejandro Medina Santiago
- National Science and Technology Council (Conacyt), Department of Computer Science, National Institute for Astrophysics, Optics and Electronics, San Andrés Cholula 72840, Puebla, Mexico
| | - José Manuel Villegas Izaguirre
- Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Boulevard Universitario #1000, Unidad Valle de las Palmas, Tijuana 21500, Baja California, Mexico; (J.M.V.I.); (A.D.H.)
- Center for Technological Research, Development and Innovation, University of Science and Technology Descartes, Tuxtla Gutiérrez 29065, Chiapas, Mexico
| | - Monica Amador García
- TecNM, Campus RioVerde, Carretera Rioverde-San Ciro Kilometro. 4.5, Rioverde 79610, San Luis Potosi, Mexico;
| | - Alberto Delgado Hernández
- Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Boulevard Universitario #1000, Unidad Valle de las Palmas, Tijuana 21500, Baja California, Mexico; (J.M.V.I.); (A.D.H.)
- Center for Technological Research, Development and Innovation, University of Science and Technology Descartes, Tuxtla Gutiérrez 29065, Chiapas, Mexico
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Maiuolo J, Carresi C, Gliozzi M, Mollace R, Scarano F, Scicchitano M, Macrì R, Nucera S, Bosco F, Oppedisano F, Ruga S, Coppoletta AR, Guarnieri L, Cardamone A, Bava I, Musolino V, Paone S, Palma E, Mollace V. The Contribution of Gut Microbiota and Endothelial Dysfunction in the Development of Arterial Hypertension in Animal Models and in Humans. Int J Mol Sci 2022; 23:ijms23073698. [PMID: 35409057 PMCID: PMC8999124 DOI: 10.3390/ijms23073698] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 02/06/2023] Open
Abstract
The maintenance of the physiological values of blood pressure is closely related to unchangeable factors (genetic predisposition or pathological alterations) but also to modifiable factors (dietary fat and salt, sedentary lifestyle, overweight, inappropriate combinations of drugs, alcohol abuse, smoking and use of psychogenic substances). Hypertension is usually characterized by the presence of a chronic increase in systemic blood pressure above the threshold value and is an important risk factor for cardiovascular disease, including myocardial infarction, stroke, micro- and macro-vascular diseases. Hypertension is closely related to functional changes in the endothelium, such as an altered production of vasoconstrictive and vasodilator substances, which lead to an increase in vascular resistance. These alterations make the endothelial tissue unresponsive to autocrine and paracrine stimuli, initially determining an adaptive response, which over time lead to an increase in risk or disease. The gut microbiota is composed of a highly diverse bacterial population of approximately 1014 bacteria. A balanced intestinal microbiota preserves the digestive and absorbent functions of the intestine, protecting from pathogens and toxic metabolites in the circulation and reducing the onset of various diseases. The gut microbiota has been shown to produce unique metabolites potentially important in the generation of hypertension and endothelial dysfunction. This review highlights the close connection between hypertension, endothelial dysfunction and gut microbiota.
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Affiliation(s)
- Jessica Maiuolo
- Laboratory of Pharmaceutical Biology, in IRC-FSH Center, Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy;
- Correspondence: (J.M.); (M.G.)
| | - Cristina Carresi
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
| | - Micaela Gliozzi
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Correspondence: (J.M.); (M.G.)
| | - Rocco Mollace
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Federica Scarano
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Miriam Scicchitano
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Roberta Macrì
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Saverio Nucera
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Francesca Bosco
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Francesca Oppedisano
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Stefano Ruga
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
| | - Anna Rita Coppoletta
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
| | - Lorenza Guarnieri
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
| | - Antonio Cardamone
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
| | - Irene Bava
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Vincenzo Musolino
- Laboratory of Pharmaceutical Biology, in IRC-FSH Center, Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy;
| | - Sara Paone
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Ernesto Palma
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- Nutramed S.c.a.r.l, Complesso Ninì Barbieri, Roccelletta di Borgia, 88021 Catanzaro, Italy;
| | - Vincenzo Mollace
- IRC-FSH Department of Health Sciences, University “Magna Græcia” of Catanzaro Italy, 88021 Catanzaro, Italy; (C.C.); (R.M.); (F.S.); (M.S.); (R.M.); (S.N.); (F.B.); (F.O.); (S.R.); (A.R.C.); (L.G.); (A.C.); (I.B.); (E.P.); (V.M.)
- IRCCS San Raffaele, Via di Valcannuta 247, 00133 Rome, Italy
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