1
|
Zhang P, Cui D, Zhang P, Wang H, Hao Y, Ma J, Li Q, Zhang A, Li D, Li X. Correlation between blood inflammatory indices and carotid intima-media thickness in the middle-aged and elderly adults. J Stroke Cerebrovasc Dis 2024; 33:107715. [PMID: 38608824 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/31/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024] Open
Abstract
OBJECTIVES This study aimed to investigate the correlations between carotid intima-media thickness (IMT) and systemic immune inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte (NLR) ratio. MATERIALS AND METHODS This was a cross-sectional study enrolling a total of 582 middle-aged and elderly patients. The correlations between SII, PLR, and NLR with IMT were assessed using logistic regression models, which were subsequently incorporated into the underlying models with traditional risk factors and their predictive values for IMT. RESULTS NLR exhibited a significant correlation with IMT in the simple regression analysis (β = 0.01, 95 %CI= 0.00-0.02, p < 0.05). After controlling for potential confounding variables in the multivariate analysis, the association between NLR and both Maximum IMT [β = 0.04, 95 %CI = 0.02-0.07, p = 0.0006] and Mean IMT [β = 0.05, 95 %CI = 0.02-0.07, p = 0.0001] remained statistically significant. Additionally, PLR was found to be a significant independent predictor of Maximum IMT [β = 0.04, 95 % CI =0.00-0.07, p = 0.0242] and Mean IMT [β = 0.04, 95 % CI = 0.01-0.07, p = 0.0061]. Similarly, SII was identified as an independent predictor of Maximum IMT [β = 1.87, 95 % CI =1.24, p = 0.0003]. The study found a significant positive correlation between Maximum IMT and the levels NLR, PLR, and SII. Specifically, in the Maximum IMT group, higher quartiles of NLR, PLR, and SII were associated with increased odds ratios (OR) for elevated IMT levels, with statistically significant results for NLR (Q4vsQ1: OR 3.87, 95 % CI 1.81-8.29), PLR (Q4vsQ1: OR 2.84, 95 % CI 1.36-5.95), and SII (Q4vsQ1: OR 2.64, 95 % CI 1.30-5.37). Finally, the inclusion of NLR, PLR, and NLR+PLR+SII in the initial model with traditional risk factors resulted in a marginal improvement in the predictive ability for Maximum IMT, as evidenced by the net reclassification index (p < 0.05). CONCLUSIONS This study discovered a positive correlation between SII, PLR, NLR, and IMT, which are likely to emerge as new predictors for IMT thickening. These findings lay a theoretical reference for future predictive research and pathophysiological research on carotid intima-media thickening.
Collapse
Affiliation(s)
- Pangpang Zhang
- Clinical Medical College, Jining Medical University, Jining, China
| | - Dehua Cui
- Department of Neurology, Chengwu County People's Hospital, Jining, China
| | - Peng Zhang
- Clinical Medical College, Jining Medical University, Jining, China
| | - Hongjun Wang
- Ultrasonic Diagnosis Deparment, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Yongnan Hao
- Department of Emergency Stroke, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Jinfeng Ma
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Qiuhua Li
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Aimei Zhang
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Daojing Li
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Xiang Li
- Department of Rehabilitation, the Affiliated Hospital of Jining Medical University, Jining, China.
| |
Collapse
|
2
|
Frigerio B, Coggi D, Bonomi A, Amato M, Capra N, Colombo GI, Sansaro D, Ravani A, Savonen K, Giral P, Gallo A, Pirro M, Gigante B, Eriksson P, Strawbridge RJ, Mulder DJ, Tremoli E, Veglia F, Baldassarre D. Determinants of Carotid Wall Echolucency in a Cohort of European High Cardiovascular Risk Subjects: A Cross-Sectional Analysis of IMPROVE Baseline Data. Biomedicines 2024; 12:737. [PMID: 38672093 PMCID: PMC11154292 DOI: 10.3390/biomedicines12040737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/28/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024] Open
Abstract
Echolucency, a measure of plaque instability associated with increased cardiovascular risk, can be assessed in both the carotid plaque and the plaque-free common carotid intima-media (IM) complex as a gray-scale median (plaque-GSM and IM-GSM, respectively). The impact of specific vascular risk factors on these two phenotypes remains uncertain, including the nature and extent of their influence. This study aims to seek the determinants of plaque-GSM and IM-GSM. Plaque-GSM and IM-GSM were measured in subjects from the IMPROVE study cohort (aged 54-79, 46% men) recruited in five European countries. Plaque-GSM was measured in subjects who had at least one IMTmax ≥ 1.5 mm (n = 2138), whereas IM-GSM was measured in all subjects included in the study (n = 3188). Multiple regression with internal cross-validation was used to find independent predictors of plaque-GSM and IM-GSM. Plaque-GSM determinants were plaque-size (IMTmax), and diastolic blood pressure. IM-GSM determinants were the thickness of plaque-free common carotid intima-media complex (PF CC-IMTmean), height, systolic blood pressure, waist/hip ratio, treatment with fibrates, mean corpuscular volume, treatment with alpha-2 inhibitors (sartans), educational level, and creatinine. Latitude, and pack-yearscode were determinants of both plaque-GSM and IM-GSM. The overall models explain 12.0% of plaque-GSM variability and 19.7% of IM-GSM variability. A significant correlation (r = 0.51) was found between plaque-GSM and IM-GSM. Our results indicate that IM-GSM is a weighty risk marker alternative to plaque-GSM, offering the advantage of being readily measurable in all subjects, including those in the early phases of atherosclerosis where plaque occurrence is relatively infrequent.
Collapse
Affiliation(s)
- Beatrice Frigerio
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Daniela Coggi
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Alice Bonomi
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Mauro Amato
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Nicolò Capra
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Gualtiero I. Colombo
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Daniela Sansaro
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Alessio Ravani
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
| | - Kai Savonen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, 70100 Kuopio, Finland;
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Philippe Giral
- INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France; (P.G.); (A.G.)
- Lipidology and Cardiovascular Prevention Unit, Department of Nutrition, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | - Antonio Gallo
- INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France; (P.G.); (A.G.)
- Lipidology and Cardiovascular Prevention Unit, Department of Nutrition, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | - Matteo Pirro
- Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy;
| | - Bruna Gigante
- Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden; (B.G.); (P.E.); (R.J.S.)
| | - Per Eriksson
- Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden; (B.G.); (P.E.); (R.J.S.)
| | - Rona J. Strawbridge
- Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden; (B.G.); (P.E.); (R.J.S.)
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, UK
- Health Data Research UK, Glasgow G12 8TA, UK
| | - Douwe J. Mulder
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Elena Tremoli
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy; (E.T.); (F.V.)
| | - Fabrizio Veglia
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy; (E.T.); (F.V.)
| | - Damiano Baldassarre
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy; (B.F.); (D.C.); (A.B.); (M.A.); (N.C.); (G.I.C.); (D.S.); (A.R.)
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, 20129 Milan, Italy
| |
Collapse
|
3
|
Sonaglioni A, Piergallini E, Naselli A, Nicolosi GL, Ferrulli A, Bianchi S, Lombardo M, Ambrosio G. The effect of gestational diabetes mellitus on carotid artery intima-media thickness in and after pregnancy: a systematic review and meta-analysis. Acta Diabetol 2024; 61:139-149. [PMID: 37936027 DOI: 10.1007/s00592-023-02206-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/18/2023] [Indexed: 11/09/2023]
Abstract
AIMS The association between gestational diabetes mellitus (GDM) and common carotid artery (CCA) intima-media thickness (IMT) is still controversial. This systematic review and meta-analysis was performed to assess the correlation between GDM and CCA-IMT in and after pregnancy. METHODS PubMed and EMBASE databases were systematically reviewed on April 2023. Studies measuring CCA-IMT in both pregnant women with GDM and women with previous history of GDM (pGDM) vs. healthy controls were included. The subtotal and overall standardized mean differences (SMDs) of CCA-IMT were calculated using the random-effect model. RESULTS Nineteen studies with a total of 302 GDM and 861 pGDM women were analyzed. The average value of CCA-IMT measured in GDM/pGDM (0.59 ± 0.12 mm) was slightly increased in comparison to the accepted reference limits of IMT according to age classes. Substantial heterogeneity was detected for the studies involving both GDM and pGDM women, with an overall statistic I2 of 86.0% (p < 0.001). Large SMDs were obtained for the studies conducted on both GDM and pGDM women, with an overall SMD of 0.89 (95%CI 0.63-1.15, p < 0.001). Egger's test for a regression intercept gave a p-value of 0.37, indicating no publication bias. On meta-regression analysis, all potential confounders (number of patients, age at pregnancy, body mass index, measuring time, follow-up duration and GDM criteria) were not significantly associated with effect modification. CONCLUSIONS GDM in and after pregnancy is independently associated with subclinical atherosclerosis. The association between GDM and carotid remodeling is potentially mediated by the longstanding underlying risk.
Collapse
Affiliation(s)
| | | | | | | | - Anna Ferrulli
- Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Stefano Bianchi
- Division of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy
| | | | - Giuseppe Ambrosio
- Cardiology and Cardiovascular Pathophysiology, Azienda Ospedaliero-Universitaria "S. Maria Della Misericordia", Perugia, Italy
| |
Collapse
|
4
|
Healthy lifestyle changes favourably affect common carotid intima-media thickness: the Healthy Lifestyle Community Programme (cohort 2). J Nutr Sci 2022; 11:e47. [PMID: 35754985 PMCID: PMC9201878 DOI: 10.1017/jns.2022.46] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/18/2022] [Accepted: 05/20/2022] [Indexed: 11/05/2022] Open
Abstract
Common carotid intima-media thickness (ccIMT) progression is a risk marker for cardiovascular disease (CVD), whereas healthy lifestyle habits are associated with lower ccIMT. The objective of the present study was to test whether a healthy lifestyle intervention can beneficially affect ccIMT progression. A community-based non-randomised, controlled lifestyle intervention was conducted, focusing on a predominantly plant-based diet (strongest emphasis), physical activity, stress management and social health. Assessments of ccIMT were made at baseline, 6 months and 1 year. Participants had an average age of 57 years and were recruited from the general population in rural northwest Germany (intervention: n 114; control: n 87). From baseline to 1 year, mean ccIMT significantly increased in both the intervention (0⋅026 [95 % CI 0⋅012, 0⋅039] mm) and control group (0⋅045 [95 % CI 0⋅033, 0⋅056] mm). The 1-year trajectory of mean ccIMT was lower in the intervention group (P = 0⋅022; adjusted for baseline). In a subgroup analysis with participants with high baseline mean ccIMT (≥0⋅800 mm), mean ccIMT non-significantly decreased in the intervention group (-0⋅016 [95 % CI -0⋅050, 0⋅017] mm; n 18) and significantly increased in the control group (0⋅065 [95 % CI 0⋅033, 0⋅096] mm; n 12). In the subgroup, the 1-year trajectory of mean ccIMT was significantly lower in the intervention group (between-group difference: -0⋅051 [95 % CI -0⋅075, -0⋅027] mm; P < 0⋅001; adjusted for baseline). The results indicate that healthy lifestyle changes may beneficially affect ccIMT within 1 year, particularly if baseline ccIMT is high.
Collapse
|
5
|
Liu Y, Wang X, Zhang Q, Meng G, Liu L, Wu H, Gu Y, Zhang S, Wang Y, Zhang T, Górska MJ, Sun S, Wang X, Zhou M, Jia Q, Song K, Tan L, Niu K. Relationship Between Dietary Patterns and Carotid Atherosclerosis Among People Aged 50 Years or Older: A Population-Based Study in China. Front Nutr 2021; 8:723726. [PMID: 34926541 PMCID: PMC8672307 DOI: 10.3389/fnut.2021.723726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The relationship between dietary patterns and atherosclerosis is inconclusive. Usually, diets vary greatly among different regions due to cultural differences and lifestyles. Few studies to date based on a Chinese population have investigated the relationship between dietary patterns and the formation of atherosclerosis in carotid arteries. We aimed to investigate whether dietary patterns were related to carotid atherosclerosis among an adult population in Tianjin, China. Methods: This cross-sectional study included a total of 2,346 participants aged 50 years or older (mean: 59.7 ± 6.29 years). Dietary intakes were assessed using a validated 81-item semiquantitative food frequency questionnaire, and factor analysis was used to identify dietary patterns. Carotid atherosclerosis was defined as a common carotid artery intima-media thickness ≥1.0 mm or plaques, or a carotid bifurcation intima-media thickness ≥1.2 mm. Multiple logistic regression models were used to explore the relationship between dietary patterns and carotid atherosclerosis. Results: Three factors were determined: "health" dietary pattern (factor 1), "traditional Tianjin" dietary pattern (factor 2), and "sweets" dietary pattern (factor 3). The multivariable-adjusted odds ratios (95% CI) of carotid atherosclerosis for the increasing quartiles of the sweets dietary pattern scores in women were as follows: 1.00 (reference), 1.33 (0.91, 1.97), 1.21 (0.82, 1.79), 1.64 (1.08, 2.51) (p for trend <0.05). No significant difference was found between any dietary pattern and carotid atherosclerosis in men. Conclusion: Greater adherence to "sweets" dietary patterns was positively related to a higher prevalence of carotid atherosclerosis in women aged 50 or older. No relationship was found between any dietary pattern and carotid atherosclerosis in men. Further prospective studies are warranted to test this finding in other populations.
Collapse
Affiliation(s)
- Yunyun Liu
- The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Magdalena J Górska
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Liping Tan
- The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Health Management Center, Tianjin Medical University General Hospital, Tianjin, China.,Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
6
|
Puato M, Zambon A, Nardin C, Faggin E, Pesavento R, Spinazzè A, Pauletto P, Rattazzi M. Lipid Profile and Vascular Remodelling in Young Dyslipidemic Subjects Treated with Nutraceuticals Derived from Red Yeast Rice. Cardiovasc Ther 2021; 2021:5546800. [PMID: 33976708 PMCID: PMC8087481 DOI: 10.1155/2021/5546800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND AIMS A relevant role is emerging for functional foods in cardiovascular prevention. The aim of this study was to assess the effect of a nutraceutical multitargeted approach on lipid profile and inflammatory markers along with vascular remodelling in a cohort of dyslipidemic subjects without history of cardiovascular (CV) disease. METHODS AND RESULTS We enrolled 25 subjects (mean age 48.2 years) with low to moderate CV risk profile and total cholesterol (TC) levels between 150 and 250 mg/dl. The patients were assigned to receive for one year a tablet/die of a nutraceutical combination containing red yeast rice (RYR) extract (Monacolin 3 mg/tablet) and coenzyme Q10 (30 mg/tablet). Treatment with the nutraceutical compounds led to a significant reduction of TC (from 227 to 201 mg/dl, p < 0.001), LDL-c (from 150 to 130 mg/dl, p = 0.001), triglycerides (from 121 to 109 mg/dl, p = 0.013), non-HDL-cholesterol (from 168 to 141 mg/dl, p < 0.001), hs-CRP (from 1.74 to 1.20 mg/l, p = 0.015), and osteoprotegerin (from 1488 to 1328 pg/ml, p = 0.045). Levels of HDL-c, Lp(a), glucose, liver enzyme, CPK, or creatinine did not change over time. An ultrasound study was performed to assess changes in mean carotid intima-media thickness (IMT) and maximum IMT (M-MAX) as well as modification in local carotid stiffness by means of determining the carotid compliance coefficient (CC) and distensibility coefficient (DC). At the end of the treatment, we observed small but significant reductions in both mean-IMT (from 0.62 to 0.57 mm, p = 0.022) and M-MAX (from 0.79 to 0.73 mm, p = 0.002), and an improvement in carotid elasticity (DC from 22.4 to 24.3 × 10-3/kPa, p = 0.006 and CC from 0.77 to 0.85 mm2/kPa, p = 0.019). CONCLUSIONS A long-term treatment with a combination of RYR and coenzyme Q10 showed lipid-lowering activity along with a reduction of inflammatory mediators and an improvement of vascular properties in young subjects with a low-to-moderate CV risk profile.
Collapse
Affiliation(s)
| | - Alberto Zambon
- Department of Medicine (DIMED), University of Padova, Italy
| | - Chiara Nardin
- Department of Medicine (DIMED), University of Padova, Italy
- Medicina Generale I^, Ca' Foncello Hospital, Treviso, Italy
| | | | | | - Alice Spinazzè
- Department of Medicine (DIMED), University of Padova, Italy
| | - Paolo Pauletto
- ORAS Rehabilitation Hospital, Motta di Livenza, Treviso, Italy
| | - Marcello Rattazzi
- Department of Medicine (DIMED), University of Padova, Italy
- Medicina Generale I^, Ca' Foncello Hospital, Treviso, Italy
| |
Collapse
|
7
|
Koeder C, Hahn A, Englert H. Effect of a 6-Month Controlled Lifestyle Intervention on Common Carotid Intima-Media Thickness. J Nutr Health Aging 2021; 25:869-877. [PMID: 34409964 DOI: 10.1007/s12603-021-1628-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVES The intima-media thickness of the common carotid artery (ccIMT) is an established risk marker for cardiovascular disease (CVD). However, it is unclear whether lifestyle interventions can easily demonstrate an improvement in ccIMT. The objective was to test if our intervention would beneficially affect ccIMT (among other CVD markers). DESIGN Non-randomized controlled trial. SETTING Rural northwest Germany. PARTICIPANTS Middle-aged and elderly participants from the general population (intervention: n = 114; control: n = 87). INTERVENTION A community-based, 6-month controlled lifestyle intervention focusing on four areas of lifestyle change: a plant-based diet, physical activity, stress management, and an improved social life. A strong emphasis was on dietary change. MEASUREMENTS We tested whether ccIMT change from baseline to 6 months was different between groups. RESULTS With all participants included, no significant difference in mean ccIMT change between groups was observed (p = 0.708). However, in a subgroup analysis with participants with high baseline mean ccIMT (≥0.800 mm) a significant difference in mean ccIMT change between intervention (-0.023 [95% CI -0.052, 0.007] mm; n = 22; baseline mean ccIMT: 0.884 ± 0.015 mm) and control (0.041 [95% CI 0.009, 0.073] mm; n = 13; baseline mean ccIMT: 0.881 ± 0.022 mm) was observed (p = 0.004). Adjusting for potential confounders did not substantially alter the results. CONCLUSION The results indicate that healthy lifestyle changes can beneficially affect ccIMT within 6 months and that such a beneficial effect may be more easily demonstrated if participants with high baseline ccIMT are recruited. The observed effect is of relevance for the prevention of CVD events, including myocardial infarction and stroke.
Collapse
Affiliation(s)
- C Koeder
- Christian Koeder, Department of Nutrition, University of Applied Sciences Münster, Corrensstr. 25, 48149 Münster, Germany;
| | | | | |
Collapse
|
8
|
Affiliation(s)
- Igor A Sobenin
- National Medical Research Center of Cardiology, Moscow, Russian Federation
| | | |
Collapse
|