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Changjie G, Xusheng Z, Hui D, Jianwen L, Ming L. Application of creatinine-based eGFR equations in Chinese septuagenarians and octogenarians. Int Urol Nephrol 2024; 56:719-730. [PMID: 37542000 DOI: 10.1007/s11255-023-03714-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 07/16/2023] [Indexed: 08/06/2023]
Abstract
PURPOSE The utilization of creatinine-based estimated glomerular filtration rate (eGFR) equations in the adult population is acknowledged. Nevertheless, the appropriateness of creatinine-based eGFR in septuagenarians and octogenarians is debatable. This study evaluates the creatinine-based equations in Chinese septuagenarians and octogenarians cohorts. PATIENTS AND METHODS This study employed a retrospective design, utilizing a review of the hospital medical records system to identify 347 hospitalized participants within the Division of Geriatrics or the Division of Nephrology. These participants underwent renal dynamic imaging with 99 m Tc-DTPA and serum creatinine testing. Comparison of the equations was performed, including the full age-spectrum equation (FAS-Cr equation), European Kidney Function Consortium equation (EKFC equation), Chronic Kidney Disease Epidemiology Collaboration equation for Asian (Asian CKD-EPI equation), Xiangya equation, and Lund-Malmö revised equation (LMR equation). RESULTS Most equations tended to underestimate GFR. The FAS-Cr equation had the smallest interquartile range (IQR), while the Asian CKD-EPI equation (mGFR ≥ 30) and Xiangya equation (mGFR < 30) had the biggest IQRs. The FAS-Cr equation had the highest overall P30 of 63.98%, while the Asian CKD-EPI equation had the highest P30 of 75.64% in mGFR ≥ 60. The Xiangya equation, on the other hand, reported the lowest P30 of 36.36% in mGFR < 30. We discovered similar patterns in root-mean-square error (RMSE) as P30. GFR category misclassification rates in the entire cohort ranged from 46.11 to 49.86% for all equations. The FAS-Cr equation exhibited an advantage in octogenarians over other equations in the GFR category misclassification with mGFR lower than 60 ml/min/1.73 m2. CONCLUSION None of the creatinine-based equations in this study could perform well regarding precision, accuracy, and CKD stages' classification for the Chinese elderly. Nevertheless, the FAS-Cr equation should be suitable for octogenarians with mGFR lower than 60 ml/min/1.73 m2.
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Affiliation(s)
- Guan Changjie
- Department of Nephrology, Guangzhou First People's Hospital, South China University of Technology, No. 1 Panfu Road, Yuexiu District, Guangzhou, 510180, China
| | - Zhu Xusheng
- Department of Nuclear Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Dai Hui
- Department of Clinical Laboratory Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Li Jianwen
- Department of Nephrology, Guangzhou First People's Hospital, South China University of Technology, No. 1 Panfu Road, Yuexiu District, Guangzhou, 510180, China
| | - Liang Ming
- Department of Nephrology, Guangzhou First People's Hospital, South China University of Technology, No. 1 Panfu Road, Yuexiu District, Guangzhou, 510180, China.
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2
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Džidić-Krivić A, Sher EK, Kusturica J, Farhat EK, Nawaz A, Sher F. Unveiling drug induced nephrotoxicity using novel biomarkers and cutting-edge preventive strategies. Chem Biol Interact 2024; 388:110838. [PMID: 38104745 DOI: 10.1016/j.cbi.2023.110838] [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: 09/18/2023] [Revised: 12/03/2023] [Accepted: 12/15/2023] [Indexed: 12/19/2023]
Abstract
Drug-induced nephrotoxicity is still a significant obstacle in pharmacotherapy of various diseases and it accounts for around 25 % of serious side-effects reported after drug administration. Furthermore, some groups of drugs such as nonsteroidal anti-inflammatory drugs, antibiotics, antiviral drugs, antifungal drugs, immunosuppressants, and chemotherapeutic drugs have the "preference" for damaging the kidney and are often referred to as the kidney's "silent killer". Clinically, the onset of acute kidney injury associated with drug administration is registered in approximately 20 % of patients and many of them develop chronic kidney disease vulnerability. However, current knowledge about the mechanisms underlying this dangerous phenomenon is still insufficient with many unknowns. Hence, the valuable use of these drugs in clinical practice is significantly limited. The main aim of this study is to draw attention to commonly prescribed nephrotoxic drugs by clinicians or drugs bought over the counter. In addition, the complex relationship between immunological, vascular and inflammatory events that promote kidney damage is discussed. The practical use of this knowledge could be implemented in the engineering of novel biomarkers for early detection of drug-associated kidney damage such as Kidney Injury Molecule (KIM-1), lipocalin associated with neutrophil gelatinase (NGAL) and various microRNAs. In addition, the utilization of artificial intelligence (AI) for the development of computer algorithms that could detect kidney damage at an early stage should be further explored. Therefore, this comprehensive review provides a new outlook on drug nephrotoxicity that opens the door for further clinical research of novel potential drugs or natural products for the prevention of drug-induced nephrotoxicity and accessible education.
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Affiliation(s)
- Amina Džidić-Krivić
- Department of Neurology, Cantonal Hospital Zenica, Zenica, 72000, Bosnia and Herzegovina; International Society of Engineering Science and Technology, Nottingham, United Kingdom
| | - Emina K Sher
- Department of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, United Kingdom.
| | - Jasna Kusturica
- Faculty of Medicine,Univerisity of Sarajevo, Sarajevo, 71000, Bosnia and Herzegovina
| | - Esma K Farhat
- International Society of Engineering Science and Technology, Nottingham, United Kingdom; Department of Food and Nutrition Research, Faculty of Food Technology, Juraj Strossmayer University of Osijek, Osijek, 31000, Croatia
| | - Asma Nawaz
- International Society of Engineering Science and Technology, Nottingham, United Kingdom; Department of Biochemistry, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Farooq Sher
- Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, United Kingdom.
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3
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Zhou Q, Ke S, Yan Y, Guo Y, Liu Q. Serum uric acid is associated with chronic kidney disease in elderly Chinese patients with diabetes. Ren Fail 2023; 45:2238825. [PMID: 37488934 PMCID: PMC10599260 DOI: 10.1080/0886022x.2023.2238825] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 07/15/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The relationship between hyperuricemia and chronic kidney disease (CKD) has been investigated extensively. However, studies on elderly individuals are still limited. Moreover, there is no consensus on whether hyperuricemia or elevated serum uric acid (SUA) within the normal range is correlated with the new onset of CKD and whether there are differences between males and females. METHODS We included 39039 elderly diabetic patients without CKD at baseline from a community-based cohort in Wuhan, China. The outcome event was the new onset of CKD (defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2). Multivariate Cox models were used to assess the adjusted hazard ratio (HR). RESULTS During the 2-year follow-up period, 3162 (8.10%) patients with diabetes developed new-onset CKD. The optimal cutoff value of SUA for incident CKD was 347.4 μmol/L. The adjusted HRs of hyperuricemia for new-onset CKD were 1.925 (1.724-2.150) and 1.676 (1.520-1.848) for males and females, respectively. The risk of developing CKD increased across the Q4 group up to 2.242 times for their counterparts in the lowest SUA quartile, independent of age, sex, diabetes duration, obesity, hypertension, systolic blood pressure, diastolic blood pressure, smoking, drinking, dyslipidemia, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and fasting plasma glucose. CONCLUSIONS Hyperuricemia is an independent predictor of incident CKD. Elevated SUA was linearly correlated with CKD in elderly patients with diabetes, showing a relatively higher intensity among males compared with that among females. The optimal cutoff value of SUA for the risk of new-onset CKD in elderly patients with diabetes was 347.4 μmol/L.
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Affiliation(s)
- Qing Zhou
- Department of Epidemiology, School of Public Health, Wuhan University, Wuhan, Hubei, P.R. China
| | - Sisi Ke
- Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, P.R. China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, P.R. China
| | - Yan Guo
- Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, P.R. China
| | - Qing Liu
- Department of Epidemiology, School of Public Health, Wuhan University, Wuhan, Hubei, P.R. China
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Naghnaghia S, Nazzal Z, Abu Alya L, AL-Ramahi R, Hamdan Z, Samara E. The association between renal impairment and polypharmacy among older Palestinian patients: a multi-center cross-sectional study. BMC PRIMARY CARE 2023; 24:50. [PMID: 36797685 PMCID: PMC9936647 DOI: 10.1186/s12875-023-02005-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/08/2023] [Indexed: 02/18/2023]
Abstract
PURPOSE This study aimed to examine the association between renal impairment and polypharmacy among older Palestinian patients visiting primary healthcare centers and to examine potentially inappropriate medications among older patients. METHODS A cross-sectional study was conducted among PHC clinic attendees aged 65 and older. We used medical records and an interviewer-administered questionnaire for data collection. Participants with eGFR less than 60mls/min/1.73 m2 were categorized as renal impaired; we then calculated the prevalence of renal impairment and used Poisson multivariable regression model with robust variance to identify associated factors. Beer's criteria and literature reviews were used to evaluate renal impairment patients' medication and to determine the frequency of PIPs. RESULTS The study included 421 participants (224 female, 197 male), and 66.3% were between the ages of 65 and 75. The prevalence of renal impairment was 30.2% (95%CI: 25.8-34.6%). Polypharmacy [aPR = 2.7, 95%CI: 1.7-4.3], stroke [aPR = 2.6, 95%CI: 1.1-2.3], females [aPR = 1.7, 95%CI: 1.2-2.5], and older patients over the age of 80 [aPR = 2.4, 95%CI: 1.6-3.5] were the main factors associated with renal impairment. RAAS (54.3%), metformin (39.3%), and sulfonylurea (20.4%) were the most frequently reported PIP in renal impairment patients. CONCLUSION This study demonstrates a relationship between polypharmacy and renal impairment. Some people with renal impairment receive drugs that those with kidney illness should avoid or use with caution. It is important to prescribe only necessary medication, choose non-nephrotoxic alternatives, and frequently monitor renal function.
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Affiliation(s)
- Shayma Naghnaghia
- grid.11942.3f0000 0004 0631 5695Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, P.O. Box 7, Palestine
| | - Zaher Nazzal
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, P.O. Box 7, Palestine.
| | - Layan Abu Alya
- grid.11942.3f0000 0004 0631 5695Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, P.O. Box 7, Palestine
| | - Rowa’ AL-Ramahi
- grid.11942.3f0000 0004 0631 5695Department of Pharmacy, Faculty of Medicine & Health Sciences, An-Najah National University, Nablus, P.O.Box 7, Palestine
| | - Zakaria Hamdan
- grid.11942.3f0000 0004 0631 5695Internal Medicine Department, An-Najah National University Hospital, Nablus, Palestine
| | - Esra’a Samara
- grid.11942.3f0000 0004 0631 5695Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, P.O. Box 7, Palestine
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Wong K, Caskey FJ, Casula A, Ben-Shlomo Y, Bailey P. The UK Chinese population with kidney failure: Clinical characteristics, management and access to kidney transplantation using 20 years of UK Renal Registry and NHS Blood and Transplant data. PLoS One 2022; 17:e0264313. [PMID: 35226673 PMCID: PMC8884499 DOI: 10.1371/journal.pone.0264313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 02/08/2022] [Indexed: 11/18/2022] Open
Abstract
Background Little is known about the clinical demographics of and access to transplantation for Chinese diaspora populations with kidney disease. Methods The UK Renal Registry provided data on adults with ethnicity recorded as ‘Chinese’ or ‘White’ starting Kidney Replacement Therapy (KRT) 1/1/97-31/12/17. Baseline characteristics were compared between Chinese and White patients. Multivariable logistic regression models were used to investigate the relationships between Chinese ethnicity and i) being listed for deceased-donor transplantation at start of KRT, ii) being listed 2 years after start of KRT, iii) pre-emptive kidney transplantation, iv) kidney transplantation 3 years after start of KRT, and v) living-donor kidney transplantation (LDKT). Results UK Chinese patients were younger at start of KRT (61.6 vs 65.6 years, p <0.001) and had more diabetic kidney disease (29% vs 20%, p<0.001) and glomerulonephritis (21% vs 13%, p<0.001) than White patients. We found evidence of interaction between ethnicity and sex. Compared to UK White men, UK Chinese men had lower odds of pre-emptive transplant (aOR 0.28, 95% CI [0.10–0.76]) and transplant within 3 years of KRT start (aOR 0.65, [95% CI 0.49–0.87], P = 0.004). UK White women and Chinese women had the same likelihood of pre-emptive transplant (aOR 0.78, 95% CI [0.38–1.61]), or transplant within 3 years of KRT start (aOR 0.94, 95% CI [0.60–1.46]). Both UK Chinese men and women had markedly lower odds of LDKT compared to Whites aOR 0.34 [95% CI 0.21–0.53]. Conclusions UK Chinese are less likely to receive a LDKT. UK Chinese men have lower odds of accessing pre-emptive wait-listing and transplantation. Understanding whether these disparities reflect modifiable barriers will help ensure equitable access to transplantation.
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Affiliation(s)
- Katie Wong
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Southmead Hospital, North Bristol NHS Trust, Bristol, United Kingdom
- * E-mail:
| | - Fergus J. Caskey
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Southmead Hospital, North Bristol NHS Trust, Bristol, United Kingdom
| | | | - Yoav Ben-Shlomo
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Pippa Bailey
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Southmead Hospital, North Bristol NHS Trust, Bristol, United Kingdom
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Lin M, Heizhati M, Wang L, Gan L, Li M, Yang W, Yao L, Wang Z, Yang Z, Abudoyreyimu R, Wu Z, Li N. Prevalence and Associated Factors of Kidney Dysfunction in Patients with Hypertension and/or Diabetes Mellitus from a Primary Care Population in Northwest China. Int J Gen Med 2021; 14:7567-7578. [PMID: 34754229 PMCID: PMC8572047 DOI: 10.2147/ijgm.s329604] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/28/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose The burden of kidney dysfunction (KD) is rapidly increasing in developing countries due to an ongoing epidemic of hypertension and diabetes. We aimed to evaluate the prevalence and associated factors of KD among population with hypertension and/or diabetes from primary care setting. Methods This study was part of a cross-sectional study conducted in Northwest China, which aimed to investigate the epidemiological status of hypertension and other chronic noninfectious diseases. Subjects aged ≥18 years old with hypertension and/or diabetes were included in this study. KD was defined as estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73m2. Least absolute shrinkage and selection operator and multivariable logistic regression were used to identify factors associated with KD. Sensitivity analysis was performed by comparing the results of different estimated equations for GFR. Results A total of 8899 participants with hypertension and/or diabetes were included. Prevalence of KD was 8.69% (n=144) among patients with both hypertension and DM, 3.36% (n=198) among patients with only hypertension, and 5.22% (n=70) among patients with only diabetes. Women showed higher prevalent KD than men. Modifiable factors independently associated with KD among patients with hypertension and/or diabetes included physical activity, duration of hypertension or DM, anemia, fasting plasma glucose and triglyceride. Results of different estimated equations showed similar trends of difference in the prevalence of KD among groups. Conclusion KD is common in patients with hypertension and/or DM in Northwest China. More attention should be paid to high-risk patients, especially to those with co-existence of hypertension and DM. Control of blood glucose and triglyceride may further improve KD management in this patient population.
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Affiliation(s)
- Mengyue Lin
- Xinjiang Medical University, Urumqi, People's Republic of China.,Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Mulalibieke Heizhati
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Lin Wang
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Lin Gan
- Xinjiang Medical University, Urumqi, People's Republic of China.,Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Mei Li
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Wenbo Yang
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Ling Yao
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Zhongrong Wang
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Zhikang Yang
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Reyila Abudoyreyimu
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Zihao Wu
- Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
| | - Nanfang Li
- Xinjiang Medical University, Urumqi, People's Republic of China.,Hypertension Center of the People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, People's Republic of China
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7
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Wu N, Qin Y, Chen S, Yu C, Xu Y, Zhao J, Yang X, Li N, Pan XF. Association between metabolic syndrome and incident chronic kidney disease among Chinese: A nation-wide cohort study and updated meta-analysis. Diabetes Metab Res Rev 2021; 37:e3437. [PMID: 33469988 DOI: 10.1002/dmrr.3437] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/30/2020] [Accepted: 01/02/2021] [Indexed: 12/22/2022]
Abstract
AIMS We prospectively examined the relationship between metabolic syndrome (MetS) and incident chronic kidney disease (CKD) among middle-aged and elderly Chinese, and conducted a systematic review and meta-analysis of all cohort studies on this topic. MATERIALS AND METHODS Our research data were derived from the China Health and Retirement Longitudinal Study. Participants (n=5752, age ≥45 years) without CKD (defined as estimated glomerular filtration rate <60 ml/min/1.73m2 ) at baseline were followed up for 4 years. We applied logistic regressions to examine the association of MetS with incident CKD. In addition, we pooled our effect estimates and those from previous cohort studies in the meta-analysis. RESULTS In a 4-years follow-up, 61 (4.27%) developed CKD in participants with MetS versus 102 (2.36%) in participants without MetS. After adjustment for potential confounders, odds ratio for incident CKD was 1.82 [95% confidence interval (95% CI): 1.19-2.78] comparing participants with MetS with those without MetS. There was a linear positive association between the number of MetS components and incident CKD (p for trend <0.001). In the updated meta-analysis of 25 studies among 350,655 participants with 29,368 incident cases of CKD, the pooled relative risk of developing CKD in participants with MetS was 1.34 (95% CI: 1.28-1.39), compared with those without MetS. CONCLUSIONS Individuals with MetS had higher risk of incident CKD in middle-aged and elderly Chinese adults, which was supported by a comprehensive review of cohort studies from multiple populations. It may be advisable to routinely monitor renal functions among individuals with MetS.
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Affiliation(s)
- Nianwei Wu
- Department of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yao Qin
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Sen Chen
- Department of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chuan Yu
- Department of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying Xu
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Zhao
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ningxiu Li
- Department of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Epidemiology and Biostatistics, Ministry of Education & Ministry of Environmental Protection Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
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8
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Fang EF, Xie C, Schenkel JA, Wu C, Long Q, Cui H, Aman Y, Frank J, Liao J, Zou H, Wang NY, Wu J, Liu X, Li T, Fang Y, Niu Z, Yang G, Hong J, Wang Q, Chen G, Li J, Chen HZ, Kang L, Su H, Gilmour BC, Zhu X, Jiang H, He N, Tao J, Leng SX, Tong T, Woo J. A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks. Ageing Res Rev 2020; 64:101174. [PMID: 32971255 PMCID: PMC7505078 DOI: 10.1016/j.arr.2020.101174] [Citation(s) in RCA: 219] [Impact Index Per Article: 54.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/13/2020] [Accepted: 09/03/2020] [Indexed: 12/18/2022]
Abstract
One of the key issues facing public healthcare is the global trend of an increasingly ageing society which continues to present policy makers and caregivers with formidable healthcare and socio-economic challenges. Ageing is the primary contributor to a broad spectrum of chronic disorders all associated with a lower quality of life in the elderly. In 2019, the Chinese population constituted 18 % of the world population, with 164.5 million Chinese citizens aged 65 and above (65+), and 26 million aged 80 or above (80+). China has become an ageing society, and as it continues to age it will continue to exacerbate the burden borne by current family and public healthcare systems. Major healthcare challenges involved with caring for the elderly in China include the management of chronic non-communicable diseases (CNCDs), physical frailty, neurodegenerative diseases, cardiovascular diseases, with emerging challenges such as providing sufficient dental care, combating the rising prevalence of sexually transmitted diseases among nursing home communities, providing support for increased incidences of immune diseases, and the growing necessity to provide palliative care for the elderly. At the governmental level, it is necessary to make long-term strategic plans to respond to the pressures of an ageing society, especially to establish a nationwide, affordable, annual health check system to facilitate early diagnosis and provide access to affordable treatments. China has begun work on several activities to address these issues including the recent completion of the of the Ten-year Health-Care Reform project, the implementation of the Healthy China 2030 Action Plan, and the opening of the National Clinical Research Center for Geriatric Disorders. There are also societal challenges, namely the shift from an extended family system in which the younger provide home care for their elderly family members, to the current trend in which young people are increasingly migrating towards major cities for work, increasing reliance on nursing homes to compensate, especially following the outcomes of the 'one child policy' and the 'empty-nest elderly' phenomenon. At the individual level, it is important to provide avenues for people to seek and improve their own knowledge of health and disease, to encourage them to seek medical check-ups to prevent/manage illness, and to find ways to promote modifiable health-related behaviors (social activity, exercise, healthy diets, reasonable diet supplements) to enable healthier, happier, longer, and more productive lives in the elderly. Finally, at the technological or treatment level, there is a focus on modern technologies to counteract the negative effects of ageing. Researchers are striving to produce drugs that can mimic the effects of 'exercising more, eating less', while other anti-ageing molecules from molecular gerontologists could help to improve 'healthspan' in the elderly. Machine learning, 'Big Data', and other novel technologies can also be used to monitor disease patterns at the population level and may be used to inform policy design in the future. Collectively, synergies across disciplines on policies, geriatric care, drug development, personal awareness, the use of big data, machine learning and personalized medicine will transform China into a country that enables the most for its elderly, maximizing and celebrating their longevity in the coming decades. This is the 2nd edition of the review paper (Fang EF et al., Ageing Re. Rev. 2015).
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Affiliation(s)
- Evandro F Fang
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway; The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway; Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, 510080, Guangzhou, China; Institute of Geriatric Immunology, School of Medicine, Jinan University, 510632, Guangzhou, China; Department of Geriatrics, The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, China.
| | - Chenglong Xie
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway; Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Joseph A Schenkel
- Durham University Department of Sports and Exercise Sciences, Durham, United Kingdom.
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, 215316, Kunshan, China; Duke Global Health Institute, Duke University, Durham, 27710, North Carolina, USA.
| | - Qian Long
- Global Health Research Center, Duke Kunshan University, 215316, Kunshan, China.
| | - Honghua Cui
- Department of Endodontics, Shanghai Stomatological Hospital, Fudan University, China; Oral Biomedical Engineering Laboratory, Shanghai Stomatological Hospital, Fudan University, China.
| | - Yahyah Aman
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway.
| | - Johannes Frank
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway.
| | - Jing Liao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 510275, Guangzhou, China; Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, 510275, Guangzhou, China.
| | - Huachun Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China; Kirby Institute, University of New South Wales, Sydney, Australia.
| | - Ninie Y Wang
- Pinetree Care Group, 515 Tower A, Guomen Plaza, Chaoyang District, 100028, Beijing, China.
| | - Jing Wu
- Department of Sociology and Work Science, University of Gothenburg, SE-405 30, Gothenburg, Sweden.
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Tao Li
- BGI-Shenzhen, Beishan Industrial Zone, 518083, Shenzhen, China; China National GeneBank, BGI-Shenzhen, 518120, Shenzhen, China.
| | - Yuan Fang
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands.
| | - Zhangming Niu
- Aladdin Healthcare Technologies Ltd., 25 City Rd, Shoreditch, London EC1Y 1AA, UK.
| | - Guang Yang
- Cardiovascular Research Centre, Royal Brompton Hospital, London, SW3 6NP, UK; and National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, United Kingdom.
| | | | - Qian Wang
- Department of Geriatrics, The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, China.
| | - Guobing Chen
- Institute of Geriatric Immunology, School of Medicine, Jinan University, 510632, Guangzhou, China.
| | - Jun Li
- Department of Biochemistry and Molecular Biology, The Institute of Basic Medical Sciences, The Chinese Academy of Medical Sciences (CAMS)& Peking Union Medical University (PUMC), 5 Dondan Santiao Road, Beijing, 100730, China.
| | - Hou-Zao Chen
- Department of Biochemistry and Molecular Biology, The Institute of Basic Medical Sciences, The Chinese Academy of Medical Sciences (CAMS)& Peking Union Medical University (PUMC), 5 Dondan Santiao Road, Beijing, 100730, China.
| | - Lin Kang
- Department of Geriatrics, Peking Union Medical College Hospital, Beijing, 100730, China.
| | - Huanxing Su
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao.
| | - Brian C Gilmour
- The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway.
| | - Xinqiang Zhu
- Department of Toxicology, Zhejiang University School of Public Health, Hangzhou, 310058, Zhejiang, China; The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, China.
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Na He
- School of Public Health, Fudan University, 200032, Shanghai, China; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 200032, Shanghai, China; Key Laboratory of Health Technology Assessment of Ministry of Health, Fudan University, 200032, Shanghai, China.
| | - Jun Tao
- Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, 510080, Guangzhou, China.
| | - Sean Xiao Leng
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD 21224, USA.
| | - Tanjun Tong
- Research Center on Ageing, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Beijing, China.
| | - Jean Woo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
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9
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Aitekenov S, Gaipov A, Bukasov R. Review: Detection and quantification of proteins in human urine. Talanta 2020; 223:121718. [PMID: 33303164 PMCID: PMC7554478 DOI: 10.1016/j.talanta.2020.121718] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/23/2020] [Accepted: 09/26/2020] [Indexed: 12/31/2022]
Abstract
Extensive medical research showed that patients, with high protein concentration in urine, have various kinds of kidney diseases, referred to as proteinuria. Urinary protein biomarkers are useful for diagnosis of many health conditions – kidney and cardio vascular diseases, cancers, diabetes, infections. This review focuses on the instrumental quantification (electrophoresis, chromatography, immunoassays, mass spectrometry, fluorescence spectroscopy, the infrared spectroscopy, and Raman spectroscopy) of proteins (the most of all albumin) in human urine matrix. Different techniques provide unique information on what constituents of the urine are. Due to complex nature of urine, a separation step by electrophoresis or chromatography are often used for proteomics study of urine. Mass spectrometry is a powerful tool for the discovery and the analysis of biomarkers in urine, however, costs of the analysis are high, especially for quantitative analysis. Immunoassays, which often come with fluorescence detection, are major qualitative and quantitative tools in clinical analysis. While Infrared and Raman spectroscopies do not give extensive information about urine, they could become important tools for the routine clinical diagnostics of kidney problems, due to rapidness and low-cost. Thus, it is important to review all the applicable techniques and methods related to urine analysis. In this review, a brief overview of each technique's principle is introduced. Where applicable, research papers about protein determination in urine are summarized with the main figures of merits, such as the limit of detection, the detectable range, recovery and accuracy, when available. Urinary protein biomarkers are useful for diagnosis of many conditions: kidney and cardio vascular diseases, cancers. Liquid chromatography – mass spectroscopy is a powerful tool for urine proteomics, but used mostly in science. Immunoassays are widely used in both clinical and bio-analytical laboratories. IR and Raman spectroscopies are promising tools for diagnostics of urine due to low-cost and rapidness.
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Affiliation(s)
- Sultan Aitekenov
- School of Sciences and Humanities, Department of Chemistry, Nazarbaev University, Nur-Sultan, Kazakhstan
| | - Abduzhappar Gaipov
- School of Medicine, Department of Clinical Sciences, Nazarbaev University, Nur-Sultan, Kazakhstan
| | - Rostislav Bukasov
- School of Sciences and Humanities, Department of Chemistry, Nazarbaev University, Nur-Sultan, Kazakhstan.
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