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Lou Y, Zhang Y, Zhao P, Qin P, Wang C, Ma J, Peng X, Chen H, Zhao D, Xu S, Wang L, Zhang M, Hu D, Hu F. Association of fasting plasma glucose change trajectory and risk of hypertension: a cohort study in China. Endocr Connect 2022; 11:EC-21-0464.R1. [PMID: 34860174 PMCID: PMC8789013 DOI: 10.1530/ec-21-0464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/03/2021] [Indexed: 11/28/2022]
Abstract
We aimed to assess the association between fasting plasma glucose (FPG) change trajectory and incident hypertension among Chinese population. This cohort study included 11,791 adults aged 18-80 years without hypertension at first entry and who completed at least four follow-ups between 2009 and 2016. Logistic regression was used to estimate odds ratios (ORs) and 95% CIs for the association between FPG change trajectory and probability of hypertension. During a median follow-up of 5.10 years (total person-years 61,887.76), hypertension developed in 2177 participants. After adjusting for baseline potential confounders, the probability of hypertension increased with the increasing FPG change trajectory (adjusted OR (aOR) 1.22, 95% CI 1.07-1.40), bell-shape trajectory (aOR 1.15, 95% CI 1.02-1.30) and other-shape trajectory (aOR 1.13, 95% CI 1.02-1.25) which showed a higher variability of FPG compared to the decreasing group. In addition, the increasing FPG change trajectory was associated with a higher probability of hypertension compared with the decreasing group regardless of age and BMI but was only significant in males and in those with normal FPG at baseline. Our study indicates that the increasing FPG change trajectory determines the highest risk of hypertension, demonstrating the importance of maintaining low and stable levels of FPG, especially in males and in those with normal FPG.
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Affiliation(s)
- Yanmei Lou
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China
| | - Yanyan Zhang
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Ping Zhao
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China
| | - Pei Qin
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Changyi Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Jianping Ma
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Xiaolin Peng
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Hongen Chen
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Dan Zhao
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Shan Xu
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Li Wang
- Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China
| | - Ming Zhang
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
| | - Fulan Hu
- Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China
- Correspondence should be addressed to F Hu:
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Liu Y, Li J, Wu Y, Zhang H, Lv Q, Zhang Y, Zheng X, Tong N. Evidence From a Systematic Review and Meta-Analysis: Classical Impaired Glucose Tolerance Should Be Divided Into Subgroups of Isolated Impaired Glucose Tolerance and Impaired Glucose Tolerance Combined With Impaired Fasting Glucose, According to the Risk of Progression to Diabetes. Front Endocrinol (Lausanne) 2022; 13:835460. [PMID: 35250886 PMCID: PMC8894674 DOI: 10.3389/fendo.2022.835460] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/17/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The American Diabetes Association (ADA) 2003 diagnostic criteria divide impaired glucose tolerance (IGT) into isolated impaired glucose tolerance with normal fasting glucose (I-IGT, IGT+NFG) and impaired glucose tolerance combined with impaired fasting glucose (IGT+IFG), while the World Health Organization (WHO) 1999 criteria do not. The aim of this meta-analysis was to evaluate whether IGT should be divided into I-IGT (IGT+NFG) or IGT+IFG according to their risk of progression to type 2 diabetes. METHODS The MEDLINE and EMBASE were searched to identify prospective cohort studies published in English prior to April 18, 2020. Review Manager 5.3 was used to calculate the pooled risk ratios (RRs) and 95% confidence intervals (CIs) as summary statistics for each included study. RESULTS Sixteen eligible studies (n = 147,006) were included in the analysis. The subsequent incidence of type 2 diabetes was lower in the I-IGT (IGT+NFG) group than in the IGT+IFG group (0.45 [95% CI 0.37, 0.55] according to WHO 1999 criteria and 0.59 [95% CI 0.54, 0.66] according to ADA 2003 criteria). It was higher in the I-IFG, I-IGT (IGT+NFG), and IGT+IFG groups than in the normoglycemic group (95% CI of 5.53 [3.78, 8.08], 5.21 [3.70, 7.34], and 11.87 [7.33, 19.20] according to the WHO 1999 criteria and 95% CI of 2.66 [2.00, 3.54], 3.34 [2.81, 3.97], and 6.10 [4.72, 7.88] according to the ADA 2003 criteria). In general, the incidence of diabetes in the IGT+IFG group was the highest in the prediabetic population. CONCLUSIONS The present meta-analysis suggested that the established WHO diagnostic criteria for IGT should be revised to separately identify individuals with IGT+NFG or IGT+IFG.
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Affiliation(s)
- Yupu Liu
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
| | - Juan Li
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
| | - Yuchao Wu
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
| | - Han Zhang
- Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Qingguo Lv
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
| | - Yuwei Zhang
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaofeng Zheng
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
- *Correspondence: Xiaofeng Zheng, ; Nanwei Tong,
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Diabetes and Islet Transplantation Research, Center for Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, China
- *Correspondence: Xiaofeng Zheng, ; Nanwei Tong,
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Honarvar B, Banakar M, Hassani N, Movahednezhad Y, Gheibi Z, Bagheri Lankarani K. From Iceberg of Pre-diabetes to Poor Glycemic Control in Diabetics: An Elderly Based Study in Shiraz, South of Iran. Int J Prev Med 2019; 10:171. [PMID: 32133089 PMCID: PMC6826672 DOI: 10.4103/ijpvm.ijpvm_161_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/01/2019] [Indexed: 02/05/2023] Open
Abstract
Background: Delay in diagnosis of diabetes mellitus (DM) in older adults is more catastrophic than other age groups. This study investigated the prevalence of pre-diabetes, DM, and glycemic control in the elderly. Methods: In this cross-sectional study, a sample of 412 older adults >60 years from Shiraz, Iran, were recruited through a multistage cluster random sampling. Demographic, clinical, and laboratory information were collected by interview, physical examination, and reviewing the medical records. Data were analyzed using SPSS 20. Results: Mean age was 68.1 ± 6.2 years and female-to-male ratio was 1.1. Out of all, 137 (33.2%) were diagnosed as diabetic including 128 (31%) as known cases and 9 (2.2%) as new cases of DM, whereas 275 (66.7%) were diagnosed as new cases of pre-diabetes. Multivariable analysis showed that low level of education (OR = 5.2, 95% CI: 1.5–16.6), hyperlipidemia (OR = 3.5, 95% CI: 2.1–5.8), liver disease (OR = 3.1, 95% CI: 1.4–6.9), and hypertension (HTN) (OR = 1.9, 95% CI: 1.1-3.2) were the most common predictors of DM in the elderly, respectively. Out of all diabetics, 33.6% had FBS >130 mg/dL and 25.5% had HbA1c >8%, whereas these figures were ≥100 mg/dL and ≥5.7% in 36.7% and 21.4% of pre-diabetics, respectively. Conclusions: The pre-diabetic elderly were mostly undiagnosed, while one-third to one-fourth of DMs had poor glycemic indices. These figures show the need for pre-diabetes and diabetes screening in the elderly, especially in those with low level of education, hyperlipidemia, liver disease, or HTN. Furthermore, regular monitoring of glycemic indices in the diabetic and pre-diabetic elderly is recommended.
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Affiliation(s)
- Behnam Honarvar
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Morteza Banakar
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Nazi Hassani
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Yasaman Movahednezhad
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Gheibi
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kamran Bagheri Lankarani
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
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Kusumi I, Arai Y, Okubo R, Honda M, Matsuda Y, Matsuda Y, Tochigi A, Takekita Y, Yamanaka H, Uemura K, Ito K, Tsuchiya K, Yamada J, Yoshimura B, Mitsui N, Matsubara S, Segawa T, Nishi N, Sugawara Y, Kako Y, Shinkawa I, Shinohara K, Konishi A, Iga J, Hashimoto N, Inomata S, Tsukamoto N, Ito H, Ito YM, Sato N. Predictive factors for hyperglycaemic progression in patients with schizophrenia or bipolar disorder. BJPsych Open 2018; 4:454-460. [PMID: 30450224 PMCID: PMC6235992 DOI: 10.1192/bjo.2018.56] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Revised: 06/26/2018] [Accepted: 08/22/2018] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Patients with schizophrenia or bipolar disorder have a high risk of developing type 2 diabetes. AIMS To identify predictive factors for hyperglycaemic progression in individuals with schizophrenia or bipolar disorder and to determine whether hyperglycaemic progression rates differ among antipsychotics in regular clinical practice. METHOD We recruited 1166 patients who initially had normal or prediabetic glucose levels for a nationwide, multisite, l-year prospective cohort study to determine predictive factors for hyperglycaemic progression. We also examined whether hyperglycaemic progression varied among patients receiving monotherapy with the six most frequently used antipsychotics. RESULTS High baseline serum triglycerides and coexisting hypertension significantly predicted hyperglycaemic progression. The six most frequently used antipsychotics did not significantly differ in their associated hyperglycaemic progression rates over the 1-year observation period. CONCLUSIONS Clinicians should carefully evaluate baseline serum triglycerides and coexisting hypertension and perform strict longitudinal monitoring irrespective of the antipsychotic used. DECLARATION OF INTEREST The authors report no financial or other relationship that is relevant to the subject of this article. Relevant financial activities outside the submitted work are as follows. I.K. has received honoraria from Astellas, Chugai Pharmaceutical, Daiichi Sankyo, Dainippon Sumitomo Pharma, Eisai, Eli Lilly, Janssen Pharmaceutical, Kyowa Hakko Kirin, Meiji Seika Pharma, MSD, Nippon Chemiphar, Novartis Pharma, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Tanabe Mitsubishi Pharma, Shionogi and Yoshitomiyakuhin; has received research/grant support from AbbVie GK, Asahi Kasei Pharma, Astellas, Boehringer Ingelheim, Chugai Pharmaceutical, Daiichi Sankyo, Dainippon Sumitomo Pharma, Eisai, Eli Lilly, GlaxoSmithKline, Kyowa Hakko Kirin, Meiji Seika Pharma, MSD, Novartis Pharma, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Takeda Pharmaceutical, Tanabe Mitsubishi Pharma, Shionogi and Yoshitomiyakuhin; and is a member of the advisory boards of Dainippon Sumitomo Pharma and Tanabe Mitsubishi Pharma. Y.T. has received speaker's honoraria from Dainippon-Sumitomo Pharma, Otsuka, Meiji-Seika Pharma, Janssen Pharmaceutical, Daiichi-Sankyo Company, UCB Japan and Ono Pharmaceutical. K.U. has received honoraria from Dainippon Sumitomo Pharma, Eisai, Eli Lilly, Janssen Pharmaceutical, Kyowa Hakko Kirin, Meiji Seika Pharma, MSD, Takeda Pharmaceutical, Hisamitsu Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Tanabe Mitsubishi Pharma, Shionogi and Yoshitomiyakuhin. B.Y. has received speaker's honoraria from Otsuka Pharmaceutical and Janssen Pharmaceutical. J. I. has received honoraria from Dainippon Sumitomo Pharma, Eli Lilly, Janssen Pharmaceutical, Meiji Seika Pharma, MSD, Novartis Pharma, Otsuka Pharmaceutical and Mochida Pharma.
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Affiliation(s)
- Ichiro Kusumi
- Professor, Department of Psychiatry, Hokkaido University Graduate School of Medicine, Japan
| | - Yuki Arai
- Doctor, Department of Psychiatry, Wakkanai City Hospital, Japan
| | - Ryo Okubo
- Doctor, Department of Psychiatry, Hokkaido University Graduate School of Medicine and Honda Memorial Hospital, Japan
| | | | - Yasuhiro Matsuda
- Assistant Professor, Department of Psychiatry, Nara Medical University, Japan
| | | | | | - Yoshiteru Takekita
- Lecturer, Department of Neuropsychiatry, Kansai Medical University, Japan
| | | | - Keiichi Uemura
- Doctor, Department of Psychiatry, Sapporo City General Hospital, Japan
| | - Koichi Ito
- Vice Director, Sapporo Hanazono Hospital, Japan
| | | | | | | | - Nobuyuki Mitsui
- Assistant Professor, Department of Psychiatry, Hokkaido University Graduate School of Medicine and Department of Psychiatry, Wakkanai City Hospital, Japan
| | - Sigehiro Matsubara
- General Manager, Department of Neuropsychiatry, Obihiro National Hospital, Japan
| | | | | | | | - Yuki Kako
- Lecturer, Department of Psychiatry, Hokkaido University Graduate School of Medicine, Japan
| | | | | | | | - Junichi Iga
- Associate Professor, Department of Psychiatry, Tokushima University and Department of Psychiatry, Ehime University, Japan
| | - Naoki Hashimoto
- Associate Professor, Department of Psychiatry, Hokkaido University Graduate School of Medicine, Japan
| | | | | | - Hiroto Ito
- Director, National Institute of Occupational Safety and Health, National Center of Neurology and Psychiatry, Japan
| | - Yoichi M Ito
- Associate Professor, Department of Biostatistics, Hokkaido University Graduate School of Medicine, Japan
| | - Norihiro Sato
- Professor, Hokkaido University Hospital Clinical Research and Medical Innovation Center, Japan
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Richter B, Hemmingsen B, Metzendorf M, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database Syst Rev 2018; 10:CD012661. [PMID: 30371961 PMCID: PMC6516891 DOI: 10.1002/14651858.cd012661.pub2] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts. OBJECTIVES To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia. SEARCH METHODS We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining. SELECTION CRITERIA We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only. DATA COLLECTION AND ANALYSIS One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN RESULTS We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018. AUTHORS' CONCLUSIONS Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.
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Affiliation(s)
- Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
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Zhu W, Gong X, Luo C, Lu J. Correlation between the levels of serum cystatin C and substance P in peripheral blood in diabetes mellitus patients complicated with hypertension. Exp Ther Med 2018; 16:1159-1164. [PMID: 30116366 PMCID: PMC6090311 DOI: 10.3892/etm.2018.6285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 05/23/2018] [Indexed: 01/28/2023] Open
Abstract
Correlation between the serum cystatin C and substance P in peripheral blood of diabetes mellitus patients complicated with hypertension was investigated. Diabetes mellitus patients with or without hypertension were selected in No. 215 Hospital of Shaanxi Nuclear Industry from December 2015 to February 2017. There were 60 patients with only hypertension (hypertension control group), 60 patients with only diabetes mellitus (diabetes mellitus control group) and 60 patients with diabetes mellitus combined with hypertension (observation group). Levels of serum cystatin C and substance P in peripheral blood were measured via immunoturbidimetry and enzyme-linked immunosorbent assay, respectively, and the correlation with hypertension was analyzed. The average level of serum cystatin C in the observation group was higher than that of the two control groups (P<0.05). The level of substance P in peripheral blood of the observation group was lower than that of the diabetic control group (P<0.05). The levels of serum cystatin C in patients with grade III hypertension in observation group were higher than those in grades II and I, and the levels of substance P in peripheral blood of patients with grade III hypertension in observation group were lower than those in grades II and I. Systolic pressure of patients in observation group was significantly positively correlated with level of serum cystatin C, but significantly negatively correlated with level of substance P in peripheral blood (P<0.05). Compared with the diabetes mellitus patients, level of serum cystatin C was higher, and level of substance P peripheral blood was lower in diabetes mellitus patients complicated with hypertension. In diabetes mellitus patients, blood pressure was positively correlated with serum cystatin C level, and negatively correlated with substance P level in peripheral blood.
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Affiliation(s)
- Wei Zhu
- Department of Clinical Laboratory, Baoji Central Hospital, Baoji, Shaanxi 721008, P.R. China
| | - Xuelian Gong
- Department of Internal Medicine, Xi'an No. 5 Hospital, Xi'an, Shaanxi 710000, P.R. China
| | - Chao Luo
- Basic Medical College, Hubei University of Science and Technology, Xianning, Hubei 437100, P.R. China
| | - Jing Lu
- Department of Geriatrics, No. 215 Hospital of Shaanxi Nuclear Industry, Xianyang, Shaanxi 712000, P.R. China
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