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Serum uric acid levels predict new-onset type 2 diabetes in hospitalized patients with primary hypertension: the MAGIC study.
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PMID:  20921214     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: Recent studies suggest that uric acid may predict the development of diabetes in the general population. Whether this association holds true in primary hypertension and is independent of renal function and metabolic syndrome is not clear at present.
RESEARCH DESIGN AND METHODS: In a prospective, observational study, 758 untreated hypertensive patients were evaluated at baseline and followed-up for 11 years.
RESULTS: A total of 8,332 person-years of follow-up revealed that slightly elevated uric acid levels (i.e., ≥318 μmol/l for women and ≥420 μmol/l for men) at baseline were associated with a significantly higher risk of developing diabetes (hazard ratio 3.65 [95% CI 1.99-6.69], P < 0.0001), even after adjustment for several confounding factors such as metabolic syndrome (2.78 [1.35-5.70], P = 0.0054).
CONCLUSIONS: Uric acid is an independent predictor of diabetes in primary hypertension.
Authors:
Francesca Viazzi; Giovanna Leoncini; Marina Vercelli; Giacomo Deferrari; Roberto Pontremoli
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Publication Detail:
Type:  Journal Article     Date:  2010-10-04
Journal Detail:
Title:  Diabetes care     Volume:  34     ISSN:  1935-5548     ISO Abbreviation:  Diabetes Care     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-03     Completed Date:  2011-05-02     Revised Date:  2012-01-02    
Medline Journal Info:
Nlm Unique ID:  7805975     Medline TA:  Diabetes Care     Country:  United States    
Other Details:
Languages:  eng     Pagination:  126-8     Citation Subset:  IM    
Affiliation:
Department of Cardionephrology, University of Genoa, Azienda Ospedaliera Universitaria San Martino, Genoa, Italy. francesca.viazzi@unige.it
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MeSH Terms
Descriptor/Qualifier:
Adult
Diabetes Mellitus, Type 2 / blood*
Female
Humans
Hypertension / blood*
Male
Middle Aged
Prospective Studies
Risk Factors
Uric Acid / blood*
Chemical
Reg. No./Substance:
69-93-2/Uric Acid

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): Diabetes Care
Journal ID (hwp): diacare
Journal ID (pmc): dcare
Journal ID (publisher-id): Diabetes Care
ISSN: 0149-5992
ISSN: 1935-5548
Publisher: American Diabetes Association
Article Information
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© 2011 by the American Diabetes Association.
creative-commons:
Received Day: 12 Month: 5 Year: 2010
Accepted Day: 28 Month: 9 Year: 2010
Print publication date: Month: 1 Year: 2011
Electronic publication date: Day: 4 Month: 10 Year: 2010
Volume: 34 Issue: 1
First Page: 126 Last Page: 128
ID: 3005465
PubMed Id: 20921214
Publisher Id: 0918
DOI: 10.2337/dc10-0918

Serum Uric Acid Levels Predict New-Onset Type 2 Diabetes in Hospitalized Patients With Primary Hypertension: The MAGIC Study
Francesca Viazzi, MD12
Giovanna Leoncini, MD12
Marina Vercelli, MD34
Giacomo Deferrari, MD12
Roberto Pontremoli, MD, PHD12
1Department of Cardionephrology, University of Genoa, Azienda Ospedaliera Universitaria San Martino, Genoa, Italy;
2Department of Internal Medicine, University of Genoa, Azienda Ospedaliera Universitaria San Martino, Genoa, Italy;
3Registro Tumori della Regione Liguria, SS Epidemiologia Descrittiva, IST-Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy;
4Dipartimento Scienze della Salute, University of Genoa, Genoa, Italy.
Correspondence: Corresponding author: Francesca Viazzi, francesca.viazzi@unige.it.

The coexistence of diabetes and hypertension acts as a multiplier of cardiovascular risk (1). Therefore, identifying early predictors for the development of diabetes in hypertensive patients could be useful for devising more effective strategies to reduce cardiovascular risk. Recent studies provide both a pathogenetic and epidemiological rationale for a role of serum uric acid (SUA) in the development of diabetes (2,3). However, prospective studies investigating the impact of SUA in the development of carbohydrate disorders in primary hypertension are still lacking.


RESEARCH DESIGN AND METHODS

Details of the Microalbuminuria: A Genoa Investigation on Complications (MAGIC) study have been described previously (4). In brief, a total of 1,024 untreated patients with primary hypertension and without diabetes were recruited between 1993 and 1997 from among those attending several outpatient hypertension clinics in the Genoa area and were followed-up for a median of 11.0 years (range 1.2–14.1 years).

Among the eligible patients, 266 were excluded for various reasons, including current allopurinol treatment and history of gout or kidney stones. Attendance was voluntary, and each participant provided written informed consent. All surveys were approved by the ethics committee of our institution.

During the baseline visit, at the end of the washout period, if any, height, weight, blood pressure values, family history, and lifestyle habits were recorded. Creatinine clearance was estimated (estimated glomerular filtration rate [eGFR]) by means of the Cockcroft-Gault formula (5) using ideal body weight (6). Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III (7). Because waist circumference measurements were only available for a subset of participants, we replaced abdominal obesity with overall adiposity, defined as BMI ≥30 kg/m2.

After baseline evaluation, patients were treated on the basis of current guidelines by the referring general practitioner or specialist until censoring. The number of events that occurred between baseline examination and the censoring date (17 June 2006) for living individuals or the date of death was collected by examining the records of the Nominative Cause of Death Registry, the Hospitalization Discharge Records, and the Ligurian Resident Population Registry. The completeness of case findings from the sample was >98%. When an event was reported, original source documents were retrieved and reviewed independently by two members of the End Point Committee. Events were coded according to the World Health Organization's ICD-9. The primary end point was the development of diabetes defined as hospitalization with a diagnosis of type 2 diabetes.

Analyses were performed using Statview for Windows (version 5.0.1; SAS Institute, Cary, NC). Data are means ± SD or medians (interquartile range) as appropriate. Logarithmically transformed values of skewed variables were used for the statistical analysis. Comparisons between groups were made by ANOVA and χ2 test. Cox proportional hazards regression was used to estimate the hazard ratio (HR) and 95% CI for the relationship between slightly elevated uric acid (SEUA) level and/or metabolic syndrome and diabetes. P < 0.05 was considered statistically significant.


RESULTS

The study cohort was composed of 758 Caucasian hypertensive patients (56% men) aged 49 ± 10 years with neither diabetes, prior cardiovascular events, nor overt nephropathy. During 8,332 person-years of follow-up, 42 patients developed diabetes; the incidence rate was 5.0/1,000 person-years. The mean ±SD SUA level was 312 ± 90 μmol/l (348 ± 84 μmol/l in men and 258 ± 72 μmol/l in women). As expected, patients who developed diabetes were more likely to fulfill the criteria for diagnosis of metabolic syndrome at baseline (49 vs. 17%; P < 0.0001) and showed higher SUA and albumin-to-creatinine ratio baseline levels.

Patients included in the highest sex-specific quintile (i.e., ≥318 μmol/l if female and ≥420 μmol/l if male) constituted the SEUA group and showed a higher incidence of diabetes (13 vs. 4%; P < 0.001) than the reference group. The unadjusted HR for the development of diabetes was 3.65 (95% CI 1.99–6.69) for SEUA and remained significant in both men (HR 2.86 [95% CI 1.33–6.17]) and women (5.85 [2.08–16.47]). Univariate Cox analysis showed that variations in BMI (1.21 [1.11–1.31]), serum fasting glucose (1.05 [1.02–1.08]), triglycerides (1.012 [1.009–1.014]), HDL cholesterol (0.97 [0.95–0.99]), SUA (1.34 [1.11–1.62]), and albumin-to-creatinine ratio (1.85 [1.04–3.33]) and the presence of the metabolic syndrome (4.28 [2.25–8.16]), were all significant predictors of diabetes. The relationship between SUA and the development of the end point persisted even after adjustment for several variables, included age, sex, eGFR, components of metabolic syndrome and metabolic syndrome as a whole (2.78 [1.35–5.70]; P = 0.0054).

The presence of SEUA and/or metabolic syndrome increased the event rates of diabetes over the 14 years of follow-up (Ptrend < 0.0001) (Table 1). The independent contribution of SEUA was stronger in women, with a 5-fold greater risk of developing diabetes in women with SEUA and without metabolic syndrome compared with that of women with neither of these risk factors (Table 1). Whereas the presence of both conditions entails an almost 10-fold higher risk of developing diabetes regardless of sex, the presence of only one of the two abnormalities is significantly related to diabetes in women but not in men (Table 1).


CONCLUSIONS

The present study shows that over long-term follow-up, SUA is a powerful predictor of incident type 2 diabetes in primary hypertension, especially in women. The excess of risk associated with SEUA was similar to that observed in the presence of obesity (3.59, P < 0.0001) and comparable to that in the presence of metabolic syndrome (4.28, P < 0.0001) and was independent of the presence of metabolic syndrome and other potential confounders. Of interest, SEUA proved to be the only risk factor independently related to the development of diabetes in women.

Although our study cannot address pathophysiological mechanisms, the independent contribution of SUA to the risk of incident diabetes that we report integrates and supports previous findings both in animal models and in clinical studies (8, B910).

The strengths of the present study include the prospective design and the fact that it relates to patients not receiving medication at baseline and at a relatively low risk of developing diabetes. Our data do not prove a cause-effect relationship; however, showing that hypertensive men with uric acid ≥420 μmol/l and women with uric acid ≥318 μmol/l have an increased risk of developing diabetes confirms (11,12) and emphasizes the usefulness of a more widespread, systematic evaluation of uric acid in an effort to guide the management of hypertension, especially in women.


Notes

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Acknowledgments

No potential conflicts of interest relevant to this article were reported.

F.V. conceived and designed the research, acquired the data, analyzed and interpreted the data, performed statistical analysis, and wrote the manuscript. G.L. analyzed and interpreted the data, contributed to discussion, and reviewed/edited the manuscript. M.V. researched data. G.D. contributed to discussion. R.P. contributed to discussion and reviewed/edited the manuscript.


References
1. Mourad JJ,Le Jeune S. : Blood pressure control, risk factors and cardiovascular prognosis in patients with diabetes: 30 years of progress. J Hypertens SupplYear: 2008;26:S7–S1319363847
2. Johnson RJ,Perez-Pozo SE,Sautin YY,Manitius J,Sanchez-Lozada LG,Feig DI,Shafiu M,Segal M,Glassock RJ,Shimada M,Roncal C,Nakagawa T. : Hypothesis: could excessive fructose intake and uric acid cause type 2 diabetes?Endocr RevYear: 2009;30:96–11619151107
3. Kodama S,Saito K,Yachi Y,Asumi M,Sugawara A,Totsuka K,Saito A,Sone H. : Association between serum uric acid and development of type 2 diabetes. Diabetes CareYear: 2009;32:1737–174219549729
4. Pontremoli R,Sofia A,Ravera M,Nicolella C,Viazzi F,Tirotta A,Ruello N,Tomolillo C,Castello C,Grillo G,Sacchi G,Deferrari G. : Prevalence and clinical correlates of microalbuminuria in essential hypertension: the MAGIC study. Microalbuminuria: A Genoa Investigation on Complications. HypertensionYear: 1997;30:1135–11439369267
5. Cockcroft DW,Gault MH. : Prediction of creatinine clearance from serum creatinine. NephronYear: 1976;16:31–411244564
6. Lorentz FH. : Ein neuer Konstitutions index. Klin WochenschrYear: 1929;8:348–351
7. Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. CirculationYear: 2002;106:3143–342112485966
8. Khosla UM,Zharikov S,Finch JL,Nakagawa T,Roncal C,Mu W,Krotova K,Block ER,Prabhakar S,Johnson RJ. : Hyperuricemia induces endothelial dysfunction. Kidney IntYear: 2005;67:1739–174215840020
9. Kramer CK,von Mühlen D,Jassal SK,Barrett-Connor E. : Serum uric acid levels improve prediction of incident type 2 diabetes in individuals with impaired fasting glucose: the Rancho Bernardo Study. Diabetes CareYear: 2009;32:1272–127319366963
10. Lin KC,Tsai ST,Lin HY,Chou P. : Different progressions of hyperglycemia and diabetes among hyperuricemic men and women in the kinmen study. J RheumatolYear: 2004;31:1159–116515170930
11. Viazzi F,Parodi D,Leoncini G,Parodi A,Falqui V,Ratto E,Vettoretti S,Bezante GP,Del Sette M,Deferrari G,Pontremoli R. : Serum uric acid and target organ damage in primary hypertension. HypertensionYear: 2005;45:991–99615781669
12. Høieggen A,Alderman MH,Kjeldsen SE,Julius S,Devereux RB,De Faire U,Fyhrquist F,Ibsen H,Kristianson K,Lederballe-Pedersen O,Lindholm LH,Nieminen MS,Omvik P,Oparil S,Wedel H,Chen C,Dahlöf B. LIFE Study GroupThe impact of serum uric acid on cardiovascular outcomes in the LIFE study. Kidney IntYear: 2004;65:1041–104914871425

Tables
[TableWrap ID: T1] Table 1 

Comparison of 14-year event rates and HRs on the basis of the presence or absence of metabolic syndrome and/or SEUA


Variable Diabetes
All
Men
Women
14-year rates per 100 ± SD No. Events HR (95%CI)* P value HR (95%CI)* P value HR (95%CI)* P value
Unadjusted model
    Lower SUA quintiles without MS 2.7 14
    SEUA without MS 6.4 6 2.32 (0.88–6.12) 0.0876 1.47 (0.41–5.37) 0.5,527 5.23 (1.05–26.04) 0.0430
    Lower SUA quintiles with MS 8.8 8 3.45 (1.43–8.33) 0.0058 2.47 (0.85–7.24) 0.0982 6.81 (1.37–33.75) 0.0188
    SEUA with MS 22.7 14 8.85 (3.88–20.20) <0.0001 7.27 (2.65–20.08) <0.0001 14.62 (3.27–65.35) 0.0004
Multivariate model
    SEUA with MS 9.31 (3.00–29) <0.0001 11.63 (3.40–40) <0.0001 10.85 (2.2–54) 0.0085
    Lower SUA quintiles with MS 4.36 (1.80–10) 0.0016 2.47 (0.76–8.1) 0.1340 6.59 (1.3–33) 0.0210
    SEUA without MS 2.75 (1.01–7.2) 0.0462 2.39 (0.62–9.2) 0.2064 5.22 (1.10–26) 0.0433
    Age for each 1- year increment 1.05 (1.01–1.1) 0.0150 1.07 (1.01–1.1) 0.0162
    Serum glucose ≥6.1 mmol/l 3.35 (1.10–9.8) 0.0269

Covariates that were considered potential confounders of the relationship between SEUA and development of diabetes were included in the multivariate models. The final models for the optimal prediction of diabetes were fitted, in each sex, by backward elimination of insignificant baseline variables (P ≥ 0.05, i.e., BMI ≥ 30 kg/m2, systolic blood pressure, diastolic blood pressure, triglycerides ≥1.65 mmol/l, HDL cholesterol <1.04 mmol/l in men and <1.29 mmol/l in women, and eGFR [milliliters per minute]). The presence of SEUA and/or metabolic syndrome showed a strong, independent relationship to the end-point for the whole cohort and for women. MS, metabolic syndrome.

TF1-1*Compared with the group with lower sex-specific quintiles of SUA and without metabolic syndrome.



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