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Zhang YZ, Fan ML, Zhang WZ, Liu W, Li HP, Ren S, Jiang S, Song MJ, Wang Z, Li W. Schisandrin ameliorates diabetic nephropathy via regulating of PI3K/Akt/NF-κB-mediated inflammation and TGF-β1-induced fibrosis in HFD/STZ-induced C57BL/6J mice. J Funct Foods 2023. [DOI: 10.1016/j.jff.2022.105376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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Heiran A, Azarchehry SP, Dehghankhalili S, Afarid M, Shaabani S, Mirahmadizadeh A. Prevalence of diabetic retinopathy in the Eastern Mediterranean Region: a systematic review and meta-analysis. J Int Med Res 2022; 50:3000605221117134. [PMID: 36314851 PMCID: PMC9629581 DOI: 10.1177/03000605221117134] [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] [Indexed: 11/06/2022] Open
Abstract
Objectives Individual studies in the Eastern Mediterranean Region (EMR) have shown the high prevalence of diabetic retinopathy. We conducted a meta-analysis to yield an estimate of the prevalence of diabetic (type 1 and 2) retinopathy in the EMR. Additionally, we explored its potential modulators. Methods Two-step screening of relevant articles published from 1 January 2000 to 13 December 2019 was carried out. An estimation of summary proportions, subgroup analysis, meta-regression, and publication bias assessment were performed. Results One hundred nine articles were included in the meta-analysis, involving 280,566 patients. The prevalence of diabetic retinopathy was 31% (95% confidence interval [CI] = 28, 33). The highest and lowest diabetic retinopathy prevalence rates were observed in low human development index (HDI) countries (63.6; 95% CI = 52.4, 74.0) and very high HDI countries 22.6 (95% CI = 20.5, 24.7), respectively. Conclusions The prevalence of diabetic retinopathy is high in the EMR. Our results provide important information for diverse healthcare surveillance systems in the EMR to implement the modifiable risk factors, diabetes screening to decrease undiagnosed diabetes, early detection of retinopathy, and proper diabetes care to decrease untreated diabetes.
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Affiliation(s)
- Alireza Heiran
- Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran,Alireza Mirahmadizadeh, Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Zand Blvd, Shiraz, Iran. PO: 7193635899.
| | - Seyede Pegah Azarchehry
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | | | - Mehrdad Afarid
- Poostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sonia Shaabani
- Alzahra Cardiovascular Charitable Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Alireza Mirahmadizadeh
- Non-communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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Zhu Z, Shang X, Wang W, Ha J, Chen Y, He J, Yang X, He M. Impact of Retinopathy and Systemic Vascular Comorbidities on All-Cause Mortality. Front Endocrinol (Lausanne) 2021; 12:750017. [PMID: 34867793 PMCID: PMC8637619 DOI: 10.3389/fendo.2021.750017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/01/2021] [Indexed: 12/02/2022] Open
Abstract
PURPOSE To assess the impact of retinopathy and systemic vascular comorbidities on the all-cause mortality in a representative U.S. sample. METHODS A total of 5703 participants (≥40 years old) from the 2005-2008 National Health and Nutrition Examination Survey. The Early Treatment Diabetic Retinopathy Study grading scale was used to evaluate the retinopathy status. Systemic vascular comorbidities included diabetes mellitus (DM), high blood pressure (HBP), chronic kidney disease (CKD) and cardiovascular disease (CVD). Time to death was calculated as the time from baseline to either the date of death or censoring (December 31st, 2015), whichever came first. Risks of mortality were estimated using Cox proportional hazards models after adjusting for confounders and vascular comorbidities. RESULTS After a median follow-up of 8.33 years (IQR: 7.50-9.67 years), there were 949 (11.8%) deaths from all causes. After adjusting for confounders, the presence of retinopathy predicted higher all-cause mortality (hazard ratio (HR), 1.41; 95% confidence interval (CI), 1.08-1.83). The all-cause mortality among participants with both retinopathy and systemic vascular comorbidities including DM (HR, 1.72; 95% CI, 1.21-2.43), HBP (HR, 1.47; 95% CI, 1.03-2.10), CKD (HR, 1.73; 95% CI, 1.26-2.39) and CVD (HR, 1.92; 95% CI, 1.21-3.04) was significantly higher than that among those without either condition. When stratified by diabetic or hypertension status, the co-occurrence of retinopathy and CKD or CVD further increased the all-cause mortality compared to those without either condition. CONCLUSIONS The co-occurrence of retinopathy and systemic vascular conditions predicted a further increase in the risk of mortality. More extensive vascular risk factor assessment and management are needed to detect the burden of vascular pathologies and improve long-term survival in individuals with retinopathy.
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Affiliation(s)
- Zhuoting Zhu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xianwen Shang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Ophthalmology, Department of Surgery, Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Jason Ha
- Ophthalmology, Department of Surgery, Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC, Australia
| | - Yifan Chen
- Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Jingyi He
- Zhongshan School of Medicine, Sun Yat-sen Universtiy, Guangzhou, China
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Mingguang He, ; Xiaohong Yang,
| | - Mingguang He
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Ophthalmology, Department of Surgery, Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Mingguang He, ; Xiaohong Yang,
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