AustralieFrV1, Main, Exploration, bibRecord, 005E50

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis

Identifieur interne : 005E50 ( Main/Exploration ); précédent : 005E49; suivant : 005E51

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis

Auteurs : Bakhtawar K. Mahmoodi [États-Unis, Pays-Bas] ; Kunihiro Matsushita [États-Unis] ; Mark Woodward [États-Unis, Australie] ; Pester Blankestijn [Pays-Bas] ; Massimo Cirillo [Italie] ; Takayoshi Ohkubo [Japon] ; Peter Rossing [Danemark] ; Mark J. Sarnak [États-Unis] ; Benedicte Stengel [France] ; Kazumasa Yamagishi [Japon] ; Kentaro Yamashita [Japon] ; LUXIA ZHANG [République populaire de Chine] ; Josef Coresh [États-Unis] ; Paul E. De Jong [Pays-Bas] ; Brad C. Astor [États-Unis]

Source :

Lancet : (British edition) [ 0140-6736 ] ; 2012.

RBID : Pascal:12-0439142

Descripteurs français

Pascal (Inist)
- Pathologie du rein, Association, Analyse quantitative, Néphropathie, Epidémiologie, Mortalité, Insuffisance rénale, Homme, Stade terminal, Hypertension artérielle, Métaanalyse, Médecine, Insuffisance rénale chronique.
Wicri :
- topic : Association, Analyse quantitative, Mortalité, Homme, Médecine.

English descriptors

KwdEn :
- Association, Chronic renal failure, Epidemiology, Human, Hypertension, Kidney disease, Medicine, Metaanalysis, Mortality, Nephropathy, Quantitative analysis, Renal failure, Terminal stage.

Abstract

Background Hypertension is the most prevalent comorbidity in individuals with chronic kidney disease. However, whether the association of the kidney disease measures, estimated glomerular filtration rate (eGFR) and albuminuria, with mortality or end-stage renal disease (ESRD) differs by hypertensive status is unknown. Methods We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of mortality and ESRD associated with eGFR and albuminuria in individuals with and without hypertension. Findings We analysed data for 45 cohorts (25 general population, seven high-risk, and 13 chronic kidney disease) with 1127656 participants, 364344 of whom had hypertension. Low eGFR and high albuminuria were associated with mortality irrespective of hypertensive status in the general population and high-risk cohorts. All-cause mortality risk was 1.1-1.2 times higher in individuals with hypertension than in those without hypertension at preserved eGFR. A steeper relative risk gradient in individuals without hypertension than in those with hypertension at eGFR range 45-75 mL/min per 1.73 m² led to much the same mortality risk at lower eGFR. With a reference eGFR of 95 mL/min per 1.73 m² in each group to explicitly assess interaction, adjusted HR for all-cause mortality at eGFR 45 mL/min per 1.73 m² was 1.77 (95% CI 1.57-1.99) in individuals without hypertension versus 1.24 (1.11-1.39) in those with hypertension (p for overall interaction=0.0003). Similarly, for albumin-creatinine ratio of 300 mg/g (vs 5 mg/g), HR was 2.30 (1.98-2.68) in individuals without hypertension versus 2.08 (1.84-2.35) in those with hypertension (p for overall interaction=0 019). We recorded much the same results for cardiovascular mortality. The associations of eGFR and albuminuria with ESRD, however, did not differ by hypertensive status. Results for chronic kidney disease cohorts were similar to those for general and high-risk population cohorts. Interpretation Chronic kidney disease should be regarded as at least an equally relevant risk factor for mortality and ESRD in individuals without hypertension as it is in those with hypertension. Funding US National Kidney Foundation.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3993095

Affiliations:

Le document en format XML

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<country>France</country>
<wicri:noRegion>Villejuif</wicri:noRegion>
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<wicri:noRegion>Villejuif</wicri:noRegion>
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<affiliation wicri:level="1"><inist:fA14 i1="12"><s1>UMRS 1018, Paris-Sud University</s1>
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<sZ>9 aut.</sZ>
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<country>France</country>
<wicri:noRegion>Villejuif</wicri:noRegion>
<wicri:noRegion>Paris-Sud University</wicri:noRegion>
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<author><name sortKey="Yamagishi, Kazumasa" sort="Yamagishi, Kazumasa" uniqKey="Yamagishi K" first="Kazumasa" last="Yamagishi">Kazumasa Yamagishi</name>
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<country>Japon</country>
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<author><name sortKey="Yamashita, Kentaro" sort="Yamashita, Kentaro" uniqKey="Yamashita K" first="Kentaro" last="Yamashita">Kentaro Yamashita</name>
<affiliation wicri:level="1"><inist:fA14 i1="16"><s1>Department of Public Health and Health Systems, Nagoya University</s1>
<s2>Nagoya</s2>
<s3>JPN</s3>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>Japon</country>
<wicri:noRegion>Nagoya</wicri:noRegion>
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<author><name sortKey="Luxia Zhang" sort="Luxia Zhang" uniqKey="Luxia Zhang" last="Luxia Zhang">LUXIA ZHANG</name>
<affiliation wicri:level="3"><inist:fA14 i1="17"><s1>Renal Division, Peking University First Hospital</s1>
<s2>Beijing</s2>
<s3>CHN</s3>
<sZ>12 aut.</sZ>
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<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
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</affiliation>
</author>
<author><name sortKey="Coresh, Josef" sort="Coresh, Josef" uniqKey="Coresh J" first="Josef" last="Coresh">Josef Coresh</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health</s1>
<s2>Baltimore, MD</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>13 aut.</sZ>
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<country>États-Unis</country>
<wicri:noRegion>Baltimore, MD</wicri:noRegion>
</affiliation>
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<author><name sortKey="De Jong, Paul E" sort="De Jong, Paul E" uniqKey="De Jong P" first="Paul E." last="De Jong">Paul E. De Jong</name>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Department of Nephrology, University Medical Centre Groningen, University of Groningen</s1>
<s2>Groningen</s2>
<s3>NLD</s3>
<sZ>1 aut.</sZ>
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<region nuts="2" type="province">Groningue (province)</region>
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</affiliation>
</author>
<author><name sortKey="Astor, Brad C" sort="Astor, Brad C" uniqKey="Astor B" first="Brad C." last="Astor">Brad C. Astor</name>
<affiliation wicri:level="1"><inist:fA14 i1="18"><s1>Department of Medicine, University of Wisconsin School of Medicine and Public Health</s1>
<s2>Madison, WI</s2>
<s3>USA</s3>
<sZ>15 aut.</sZ>
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<country>États-Unis</country>
<wicri:noRegion>Madison, WI</wicri:noRegion>
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<affiliation wicri:level="1"><inist:fA14 i1="19"><s1>Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health</s1>
<s2>Madison, WI</s2>
<s3>USA</s3>
<sZ>15 aut.</sZ>
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<country>États-Unis</country>
<wicri:noRegion>Madison, WI</wicri:noRegion>
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<series><title level="j" type="main">Lancet : (British edition)</title>
<title level="j" type="abbreviated">Lancet : (Br. ed.)</title>
<idno type="ISSN">0140-6736</idno>
<imprint><date when="2012">2012</date>
</imprint>
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</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Lancet : (British edition)</title>
<title level="j" type="abbreviated">Lancet : (Br. ed.)</title>
<idno type="ISSN">0140-6736</idno>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Association</term>
<term>Chronic renal failure</term>
<term>Epidemiology</term>
<term>Human</term>
<term>Hypertension</term>
<term>Kidney disease</term>
<term>Medicine</term>
<term>Metaanalysis</term>
<term>Mortality</term>
<term>Nephropathy</term>
<term>Quantitative analysis</term>
<term>Renal failure</term>
<term>Terminal stage</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Pathologie du rein</term>
<term>Association</term>
<term>Analyse quantitative</term>
<term>Néphropathie</term>
<term>Epidémiologie</term>
<term>Mortalité</term>
<term>Insuffisance rénale</term>
<term>Homme</term>
<term>Stade terminal</term>
<term>Hypertension artérielle</term>
<term>Métaanalyse</term>
<term>Médecine</term>
<term>Insuffisance rénale chronique</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Association</term>
<term>Analyse quantitative</term>
<term>Mortalité</term>
<term>Homme</term>
<term>Médecine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Background Hypertension is the most prevalent comorbidity in individuals with chronic kidney disease. However, whether the association of the kidney disease measures, estimated glomerular filtration rate (eGFR) and albuminuria, with mortality or end-stage renal disease (ESRD) differs by hypertensive status is unknown. Methods We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of mortality and ESRD associated with eGFR and albuminuria in individuals with and without hypertension. Findings We analysed data for 45 cohorts (25 general population, seven high-risk, and 13 chronic kidney disease) with 1127656 participants, 364344 of whom had hypertension. Low eGFR and high albuminuria were associated with mortality irrespective of hypertensive status in the general population and high-risk cohorts. All-cause mortality risk was 1.1-1.2 times higher in individuals with hypertension than in those without hypertension at preserved eGFR. A steeper relative risk gradient in individuals without hypertension than in those with hypertension at eGFR range 45-75 mL/min per 1.73 m<sup>2</sup>
 led to much the same mortality risk at lower eGFR. With a reference eGFR of 95 mL/min per 1.73 m<sup>2</sup>
 in each group to explicitly assess interaction, adjusted HR for all-cause mortality at eGFR 45 mL/min per 1.73 m<sup>2</sup>
 was 1.77 (95% CI 1.57-1.99) in individuals without hypertension versus 1.24 (1.11-1.39) in those with hypertension (p for overall interaction=0.0003). Similarly, for albumin-creatinine ratio of 300 mg/g (vs 5 mg/g), HR was 2.30 (1.98-2.68) in individuals without hypertension versus 2.08 (1.84-2.35) in those with hypertension (p for overall interaction=0 019). We recorded much the same results for cardiovascular mortality. The associations of eGFR and albuminuria with ESRD, however, did not differ by hypertensive status. Results for chronic kidney disease cohorts were similar to those for general and high-risk population cohorts. Interpretation Chronic kidney disease should be regarded as at least an equally relevant risk factor for mortality and ESRD in individuals without hypertension as it is in those with hypertension. Funding US National Kidney Foundation.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>Danemark</li>
<li>France</li>
<li>Italie</li>
<li>Japon</li>
<li>Pays-Bas</li>
<li>République populaire de Chine</li>
<li>États-Unis</li>
</country>
<region><li>Groningue (province)</li>
<li>Nouvelle-Galles du Sud</li>
<li>Utrecht (province)</li>
</region>
<settlement><li>Groningue</li>
<li>Pékin</li>
<li>Sydney</li>
<li>Utrecht</li>
</settlement>
<orgName><li>Université de Sydney</li>
</orgName>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Mahmoodi, Bakhtawar K" sort="Mahmoodi, Bakhtawar K" uniqKey="Mahmoodi B" first="Bakhtawar K." last="Mahmoodi">Bakhtawar K. Mahmoodi</name>
</noRegion>
<name sortKey="Astor, Brad C" sort="Astor, Brad C" uniqKey="Astor B" first="Brad C." last="Astor">Brad C. Astor</name>
<name sortKey="Astor, Brad C" sort="Astor, Brad C" uniqKey="Astor B" first="Brad C." last="Astor">Brad C. Astor</name>
<name sortKey="Coresh, Josef" sort="Coresh, Josef" uniqKey="Coresh J" first="Josef" last="Coresh">Josef Coresh</name>
<name sortKey="Matsushita, Kunihiro" sort="Matsushita, Kunihiro" uniqKey="Matsushita K" first="Kunihiro" last="Matsushita">Kunihiro Matsushita</name>
<name sortKey="Sarnak, Mark J" sort="Sarnak, Mark J" uniqKey="Sarnak M" first="Mark J." last="Sarnak">Mark J. Sarnak</name>
<name sortKey="Woodward, Mark" sort="Woodward, Mark" uniqKey="Woodward M" first="Mark" last="Woodward">Mark Woodward</name>
</country>
<country name="Pays-Bas"><region name="Groningue (province)"><name sortKey="Mahmoodi, Bakhtawar K" sort="Mahmoodi, Bakhtawar K" uniqKey="Mahmoodi B" first="Bakhtawar K." last="Mahmoodi">Bakhtawar K. Mahmoodi</name>
</region>
<name sortKey="Blankestijn, Pester" sort="Blankestijn, Pester" uniqKey="Blankestijn P" first="Pester" last="Blankestijn">Pester Blankestijn</name>
<name sortKey="De Jong, Paul E" sort="De Jong, Paul E" uniqKey="De Jong P" first="Paul E." last="De Jong">Paul E. De Jong</name>
</country>
<country name="Australie"><region name="Nouvelle-Galles du Sud"><name sortKey="Woodward, Mark" sort="Woodward, Mark" uniqKey="Woodward M" first="Mark" last="Woodward">Mark Woodward</name>
</region>
</country>
<country name="Italie"><noRegion><name sortKey="Cirillo, Massimo" sort="Cirillo, Massimo" uniqKey="Cirillo M" first="Massimo" last="Cirillo">Massimo Cirillo</name>
</noRegion>
</country>
<country name="Japon"><noRegion><name sortKey="Ohkubo, Takayoshi" sort="Ohkubo, Takayoshi" uniqKey="Ohkubo T" first="Takayoshi" last="Ohkubo">Takayoshi Ohkubo</name>
</noRegion>
<name sortKey="Ohkubo, Takayoshi" sort="Ohkubo, Takayoshi" uniqKey="Ohkubo T" first="Takayoshi" last="Ohkubo">Takayoshi Ohkubo</name>
<name sortKey="Yamagishi, Kazumasa" sort="Yamagishi, Kazumasa" uniqKey="Yamagishi K" first="Kazumasa" last="Yamagishi">Kazumasa Yamagishi</name>
<name sortKey="Yamagishi, Kazumasa" sort="Yamagishi, Kazumasa" uniqKey="Yamagishi K" first="Kazumasa" last="Yamagishi">Kazumasa Yamagishi</name>
<name sortKey="Yamagishi, Kazumasa" sort="Yamagishi, Kazumasa" uniqKey="Yamagishi K" first="Kazumasa" last="Yamagishi">Kazumasa Yamagishi</name>
<name sortKey="Yamashita, Kentaro" sort="Yamashita, Kentaro" uniqKey="Yamashita K" first="Kentaro" last="Yamashita">Kentaro Yamashita</name>
</country>
<country name="Danemark"><noRegion><name sortKey="Rossing, Peter" sort="Rossing, Peter" uniqKey="Rossing P" first="Peter" last="Rossing">Peter Rossing</name>
</noRegion>
<name sortKey="Rossing, Peter" sort="Rossing, Peter" uniqKey="Rossing P" first="Peter" last="Rossing">Peter Rossing</name>
</country>
<country name="France"><noRegion><name sortKey="Stengel, Benedicte" sort="Stengel, Benedicte" uniqKey="Stengel B" first="Benedicte" last="Stengel">Benedicte Stengel</name>
</noRegion>
<name sortKey="Stengel, Benedicte" sort="Stengel, Benedicte" uniqKey="Stengel B" first="Benedicte" last="Stengel">Benedicte Stengel</name>
</country>
<country name="République populaire de Chine"><noRegion><name sortKey="Luxia Zhang" sort="Luxia Zhang" uniqKey="Luxia Zhang" last="Luxia Zhang">LUXIA ZHANG</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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Serveur d'exploration sur les relations entre la France et l'Australie

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis

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