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Taha MM, Zakaria MAY, Eisa YH, Rashed MH. Potential role of serum copeptin among smoker T2DM patients with emphasis to ACE I/D gene polymorphism predicting DN. Sci Rep 2024; 14:13068. [PMID: 38844495 PMCID: PMC11156660 DOI: 10.1038/s41598-024-62865-8] [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: 05/10/2023] [Accepted: 05/22/2024] [Indexed: 06/09/2024] Open
Abstract
Diabetic nephropathy represents one of the main long-term complications in T2DM patients. Cigarette smoking represents one of modifiable renal risk factors to kidney damage due to lead (Pb) exposure in these patients. Our goal is to investigate serum copeptin and Kidney injury molecule-1 (KIM-1) and urinary lead (UPb) in type 2 diabetes mellitus (T2DM) patients even smokers and non-smokers groups and compared to corresponding health controls and assess its associations with Angiotensin-Converting enzyme Insertion/Deletion polymorphism [ACE (I/D)] polymorphism in diabetic nephropathy progression in those patients. In present study, 106 T2DM patients and 102 healthy control individuals were enrolled. Serum glucose, copeptin, KIM-1, total cholesterol (TChol), triglycerides (TG), estimated glomerular filtration rate (eGFR) and UPb levels and ACE (I/D) polymorphisms were assessed in both groups. Results mentioned to significant variations in all parameters compared to in T2DM group compared to control group. Serum copeptin and UPb demonstrated significant difference in diabetic smokers (DS) and diabetic non-smokers (DNS) groups while KIM-1 exhibited significant change between DNS and healthy control non-smokers (CNS) groups. Positive relation was recorded between serum glucose and KIM-1 while negative one was found between serum copeptin and TChol. D allele was associated with significant variation in most parameters in T2DM, especially insertion/deletion (ID) polymorphism. ROC curve analysis (AUC) for serum copeptin was 0.8, p < 0.044 and for Kim-1 was 0.54, p = 0.13 while for uPb was 0.71, p < 0.033. Serum copeptin and UPb might be a prognostic biomarker for renal function decline in smoker T2DM patients while KIM-1 was potent marker in non-smoker T2DM with association with D allele of ACE I/D gene polymorphism.
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Affiliation(s)
- Mona Mohamed Taha
- Department of Environmental and Occupational Medicine, National Research Centre, Buhouth Street, Dokki, Cairo, Egypt.
| | - Mohamed Ahmed Yehia Zakaria
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, October 6 University, Giza, Egypt
| | - Yasmine Hamed Eisa
- Department of Public Health and Community Medicine, Faculty of Medicine, October 6 University, Giza, Egypt
| | - Maisa Hatem Rashed
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, October 6 University, Giza, Egypt
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Zhang X, Zhang T, Chen X, Ni J, Xu S, Peng Y, Wang G, Sun W, Liu X, Pan F. The impact of short-term exposure to meteorological factors on the risk of death from hypertension and its major complications: a time series analysis based on Hefei, China. Int Arch Occup Environ Health 2024; 97:313-329. [PMID: 38403848 DOI: 10.1007/s00420-024-02046-2] [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: 09/23/2023] [Accepted: 01/16/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVES This study aimed to reveal the short-term impact of meteorological factors on the mortality risk in hypertensive patients, providing a scientific foundation for formulating pertinent prevention and control policies. METHODS In this research, meteorological factor data and daily death data of hypertensive patients in Hefei City from 2015 to 2018 were integrated. Time series analysis was performed using distributed lag nonlinear model (DLNM) and generalized additive model (GAM). Furthermore, we conducted stratified analysis based on gender and age. Relative risk (RR) combined with 95% confidence interval (95% CI) was used to represent the mortality risk of single day and cumulative day in hypertensive patients. RESULTS Single-day lag results indicated that high daily mean temperature (T mean) (75th percentile, 24.9 °C) and low diurnal temperature range (DTR) (25th percentile, 4.20 °C) levels were identified as risk factors for death in hypertensive patients (maximum effective RR values were 1.144 and 1.122, respectively). Extremely high levels of relative humidity (RH) (95th percentile, 94.29%) reduced the risk of death (RR value was 0.893). The stratified results showed that the elderly and female populations are more susceptible to low DTR levels, whereas extremely high levels of RH have a more significant protective effect on both populations. CONCLUSION Overall, we found that exposure to low DTR and high T mean environments increases the risk of death for hypertensive patients, while exposure to extremely high RH environments significantly reduces the risk of death for hypertensive patients. These findings contribute valuable insights for shaping targeted prevention and control strategies.
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Affiliation(s)
- Xu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xuyang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China
| | - Jianping Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China
| | - Siwen Xu
- School of Medicine, Tongji University, 500 Zhennan Road, Shanghai, 200333, China
| | - Yongzhen Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China
| | - Guosheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China
| | - Wanqi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Hospital Management Research, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China
| | - Xuxiang Liu
- Hefei Center for Disease Control and Prevention, 86 Luan Road, Hefei, 230032, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Liu KH, Chang WH, Lai ECC, Tsai PC, Hsu B, Yang YH, Lin WR, Huang TS, Su FY, Chiang JH, Li CY, Tsai YS, Sung JM. Ambient temperature and the occurrence of intradialytic hypotension in patients receiving hemodialysis. Clin Kidney J 2024; 17:sfad304. [PMID: 38213491 PMCID: PMC10783262 DOI: 10.1093/ckj/sfad304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Indexed: 01/13/2024] Open
Abstract
Background Intradialytic hypotension (IDH) is a common hemodialysis complication causing adverse outcomes. Despite the well-documented associations of ambient temperatures with fluid removal and pre-dialysis blood pressure (BP), the relationship between ambient temperature and IDH has not been adequately studied. Methods We conducted a cohort study at a tertiary hospital in southern Taiwan between 1 January 2016 and 31 October 2021. The 24-h pre-hemodialysis mean ambient temperature was determined using hourly readings from the weather station closest to each patient's residence. IDH was defined using Fall40 [systolic BP (SBP) drop of ≥40 mmHg] or Nadir90/100 (SBP <100 if pre-dialysis SBP was ≥160, or SBP <90 mmHg). Multivariate logistic regression with generalizing estimating equations and mediation analysis were utilized. Results The study examined 110 400 hemodialysis sessions from 182 patients, finding an IDH prevalence of 11.8% and 10.4% as per the Fall40 and Nadir90/100 criteria, respectively. It revealed a reverse J-shaped relationship between ambient temperature and IDH, with a turning point around 27°C. For temperatures under 27°C, a 4°C drop significantly increased the odds ratio of IDH to 1.292 [95% confidence interval (CI) 1.228 to 1.358] and 1.207 (95% CI 1.149 to 1.268) under the Fall40 and Nadir90/100 definitions, respectively. Lower ambient temperatures correlated with higher ultrafiltration, accounting for about 23% of the increased IDH risk. Stratified seasonal analysis indicated that this relationship was consistent in spring, autumn and winter. Conclusion Lower ambient temperature is significantly associated with an increased risk of IDH below the threshold of 27°C, irrespective of the IDH definition. This study provides further insight into environmental risk factors for IDH in patients undergoing hemodialysis.
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Affiliation(s)
- Kuan-Hung Liu
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wei-Hsiang Chang
- Department of Food Safety/ Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Research Center of Environmental Trace Toxic Substances, National Cheng Kung University, Tainan, Taiwan
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Pei-Chen Tsai
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Bin Hsu
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Hsuan Yang
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wei-Ren Lin
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tzu-Shan Huang
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Fang-Yi Su
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Jung-Hsien Chiang
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Yau-Sheng Tsai
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Junne-Ming Sung
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Rossios K, Antza C, Kachtsidis V, Kotsis V. The Modern Environment: The New Secondary Cause of Hypertension? MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2095. [PMID: 38138198 PMCID: PMC10744418 DOI: 10.3390/medicina59122095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/15/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023]
Abstract
The most important risk factor for cardiovascular disease, the leading cause of death worldwide, is hypertension. Although most cases of hypertension are thought to be essential, the multifactorial associations of the environmental influence on blood pressure seem to play an important role and should be more closely investigated. This review attempts to focus on the recent literature that examines the environmental effects on arterial blood pressure and its management. Seasonal variability and the role of ambient temperature, either occupational or recreational noise pollution, as well as obesity due to environment-caused dietary habits, are recognized as important risk factors, affecting the onset as well as the regulation of hypertension. Furthermore, the effects of seasonal fluctuations in blood pressure, noise pollution, and obesity seem to share a similar pathogenesis, and as such to all further react together, leading to increased blood pressure. The activation of the autonomous nervous system plays a key role and causes an increase in stress hormones that generates oxidative stress on the vascular system and, thus, vasoconstriction. In this review, by focusing on the association of the environmental impact with arterial blood pressure, we come to the question of whether most cases of hypertension-if not all-should, indeed, be considered primary or secondary.
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Affiliation(s)
- Konstantinos Rossios
- Cardiology Clinic, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Christina Antza
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
| | - Vasileios Kachtsidis
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
| | - Vasilios Kotsis
- Hypertension Center, 3rd Department of Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (C.A.); (V.K.)
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Lan S, Zhang Y, Wang J, Wu Z, Chen S. Different time points, different blood pressures: complexity of blood pressure measurement in hemodialysis patients. Blood Press Monit 2023; 28:268-275. [PMID: 37382121 DOI: 10.1097/mbp.0000000000000661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
OBJECTIVE We used our established database to investigate predialysis blood pressure (BP) measurements at different time points. METHODS Our study period spanned from 1 January 2019 to 31 December 2019. The different time points included: the long interdialytic interval versus the short interdialytic interval; different hemodialysis shifts. Multiple linear regression was used to explore the association between BP measurements and different time points. RESULTS A total of 37 081 cases of hemodialysis therapies were included. After a long interdialytic interval, predialysis SBP and DBP were significantly elevated. Predialysis BP was 147.72/86.73 mmHg on Monday and 148.26/86.52 mmHg on Tuesday, respectively. Both predialysis SBP and DBP were higher in the a.m. shift. The mean BP in the a.m. and p.m. shifts were 147.56/87 mmHg and 144.83/84.64 mmHg, respectively. In both diabetic nephropathy and non-diabetic nephropathy patients, higher SBP measurements after a long interdialytic interval were observed; however, in diabetic nephropathy patients, we did not find significant differences in DBP among different dates. In diabetic nephropathy and non-diabetic nephropathy patients, we observed that the effect of different shifts on BP was similar. In Monday, Wednesday and Friday subgroups, the long interdialytic interval was also associated with BP; however, in Tuesday, Thursday and Saturday subgroups, different shifts but not the long interdialytic interval was associated with BP. CONCLUSION The long interdialytic interval and different hemodialysis shifts have a significant effect on predialysis BP in patients with hemodialysis. When interpreting BP in patients with hemodialysis, different time points is a confounder.
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Affiliation(s)
- Shan Lan
- Department of Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University
| | - Yazhen Zhang
- Longwen Hemodialysis Unit, Zhangzhou Affiliated Hospital of Fujian Medical University
| | - Jing Wang
- Clinical Pharmacy, Zhangzhou Affiliated Hospital of Fujian Medical University, PR China
| | - Zhibin Wu
- Department of Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University
| | - Shanying Chen
- Department of Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University
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Takahashi R, Maruki T, Uchiyama K, Washida N, Shibagaki K, Yanai A, Nakayama T, Hayashi K, Kanda T, Itoh H. Seasonal variation in predialysis systolic blood pressure and cardiovascular events in patients on maintenance hemodialysis. Hypertens Res 2023; 46:2192-2202. [PMID: 37420091 DOI: 10.1038/s41440-023-01364-1] [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: 02/21/2023] [Revised: 05/22/2023] [Accepted: 06/15/2023] [Indexed: 07/09/2023]
Abstract
Predialysis systolic blood pressure (SBP) in patients on hemodialysis (HD) consistently followed a seasonal pattern, reaching a peak in winter and nadir in summer, similar to blood pressure in the general population. However, the relationship between seasonal variations in predialysis SBP and clinical outcomes is still under-investigated in Japanese patients on HD. This retrospective cohort study included 307 Japanese patients undergoing HD for >1 year in three dialysis clinics and evaluated the association between the standard deviation (SD) of predialysis SBP and clinical outcomes, including major adverse cardiovascular events (MACEs; cardiovascular death, nonfatal myocardial infarction or unstable angina, stroke, heart failure, and other severe cardiovascular events requiring hospitalization) with 2.5 years follow-up. The SD of predialysis SBP was 8.2 (6.4-10.9) mmHg. In the model fully adjusted for the SD of predialysis SBP, predialysis SBP, age, sex, HD vintage, Charlson comorbidity index, ultrafiltration rate, renin-angiotensin system inhibitors, corrected calcium, phosphorus, human atrial natriuretic peptide, C-reactive protein, albumin, hemoglobin, body mass index, normalized protein catabolism rate, and intradialytic SBP decline, Cox regression analyses showed that a higher SD of predialysis SBP (per 10 mmHg) was significantly associated with increased MACE risk (hazard ratio [HR], 1.89; 95% confidence interval [95% CI], 1.07-3.36) and all-cause hospitalization (HR, 1.57; 95% CI, 1.07-2.30). Therefore, greater seasonal variations in predialysis SBP were associated with worse clinical outcomes, including MACEs and all-cause hospitalization. Whether interventions to reduce seasonal variations in predialysis SBP will improve the prognosis of Japanese patients on HD must be investigated further.
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Affiliation(s)
- Rina Takahashi
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
| | - Tomomi Maruki
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
| | - Kiyotaka Uchiyama
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan.
- Department of Nephrology, International University of Health and Welfare Narita Hospital, Chiba, Japan.
| | - Naoki Washida
- Department of Nephrology, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | | | - Akane Yanai
- Department of Nephrology, Tokyo Shinagawa Hospital, Tokyo, Japan
| | - Takashin Nakayama
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
| | - Kaori Hayashi
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Kanda
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Itoh
- Department of Endocrinology, Metabolism and Nephrology, Keio University School of Medicine, Tokyo, Japan
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Intercorrelated variability in blood and hemodynamic biomarkers reveals physiological network in hemodialysis patients. Sci Rep 2023; 13:1660. [PMID: 36717578 PMCID: PMC9886931 DOI: 10.1038/s41598-023-28345-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 01/17/2023] [Indexed: 01/31/2023] Open
Abstract
Increased intra-individual variability of a variety of biomarkers is generally associated with poor health and reflects physiological dysregulation. Correlations among these biomarker variabilities should then represent interactions among heterogeneous biomarker regulatory systems. Herein, in an attempt to elucidate the network structure of physiological systems, we probed the inter-variability correlations of 22 biomarkers. Time series data on 19 blood-based and 3 hemodynamic biomarkers were collected over a one-year period for 334 hemodialysis patients, and their variabilities were evaluated by coefficients of variation. The network diagram exhibited six clusters in the physiological systems, corresponding to the regulatory domains for metabolism, inflammation, circulation, liver, salt, and protein. These domains were captured as latent factors in exploratory and confirmatory factor analyses (CFA). The 6-factor CFA model indicates that dysregulation in each of the domains manifests itself as increased variability in a specific set of biomarkers. Comparison of a diabetic and non-diabetic group within the cohort by multi-group CFA revealed that the diabetic cohort showed reduced capacities in the metabolism and salt domains and higher variabilities of the biomarkers belonging to these domains. The variability-based network analysis visualizes the concept of homeostasis and could be a valuable tool for exploring both healthy and pathological conditions.
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