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390 results on '"Hallan, Stein"'

1. Glycolytic lactate in diabetic kidney disease.

Author

Darshi, Manjula, Kugathasan, Luxcia, Maity, Soumya, Sridhar, Vikas, Fernandez, Roman, Limonte, Christine, Grajeda, Brian, Saliba, Afaf, Zhang, Guanshi, Drel, Viktor, Kim, Jiwan, Montellano, Richard, Tumova, Jana, Montemayor, Daniel, Wang, Zhu, Liu, Jian-Jun, Wang, Jiexun, Perkins, Bruce, Lytvyn, Yuliya, Natarajan, Loki, Lim, Su, Feldman, Harold, Toto, Robert, Sedor, John, Patel, Jiten, Waikar, Sushrut, Brown, Julia, Osman, Yahya, He, Jiang, Chen, Jing, Reeves, W, de Boer, Ian, Roy, Sourav, Vallon, Volker, Hallan, Stein, Gelfond, Jonathan, Cherney, David, and Sharma, Kumar

Subjects
Chronic kidney disease, Diabetes, Mitochondria, Nephrology, Humans, Diabetic Nephropathies, Animals, Mice, Lactic Acid, Female, Male, Glycolysis, Middle Aged, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 1, Mitochondria, Adult, Glomerular Filtration Rate, Aged, Kidney Tubules, Proximal, Glucose, Oxidative Phosphorylation, Biomarkers, Sodium-Glucose Transporter 2, Sodium-Glucose Transporter 2 Inhibitors
Abstract

Lactate elevation is a well-characterized biomarker of mitochondrial dysfunction, but its role in diabetic kidney disease (DKD) is not well defined. Urine lactate was measured in patients with type 2 diabetes (T2D) in 3 cohorts (HUNT3, SMART2D, CRIC). Urine and plasma lactate were measured during euglycemic and hyperglycemic clamps in participants with type 1 diabetes (T1D). Patients in the HUNT3 cohort with DKD had elevated urine lactate levels compared with age- and sex-matched controls. In patients in the SMART2D and CRIC cohorts, the third tertile of urine lactate/creatinine was associated with more rapid estimated glomerular filtration rate decline, relative to first tertile. Patients with T1D demonstrated a strong association between glucose and lactate in both plasma and urine. Glucose-stimulated lactate likely derives in part from proximal tubular cells, since lactate production was attenuated with sodium-glucose cotransporter-2 (SGLT2) inhibition in kidney sections and in SGLT2-deficient mice. Several glycolytic genes were elevated in human diabetic proximal tubules. Lactate levels above 2.5 mM potently inhibited mitochondrial oxidative phosphorylation in human proximal tubule (HK2) cells. We conclude that increased lactate production under diabetic conditions can contribute to mitochondrial dysfunction and become a feed-forward component to DKD pathogenesis.

Published
2024

3. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

Author

Scholz, Markus, Horn, Katrin, Pott, Janne, Wuttke, Matthias, Kühnapfel, Andreas, Nasr, M, Kirsten, Holger, Li, Yong, Hoppmann, Anselm, Gorski, Mathias, Ghasemi, Sahar, Li, Man, Tin, Adrienne, Chai, Jin-Fang, Cocca, Massimiliano, Wang, Judy, Nutile, Teresa, Akiyama, Masato, Åsvold, Bjørn, Bansal, Nisha, Biggs, Mary, Boutin, Thibaud, Brenner, Hermann, Brumpton, Ben, Burkhardt, Ralph, Cai, Jianwen, Campbell, Archie, Campbell, Harry, Chalmers, John, Chasman, Daniel, Chee, Miao, Chen, Xu, Cheng, Ching-Yu, Cifkova, Renata, Daviglus, Martha, Delgado, Graciela, Dittrich, Katalin, Edwards, Todd, Endlich, Karlhans, Michael Gaziano, J, Giri, Ayush, Giulianini, Franco, Gordon, Scott, Gudbjartsson, Daniel, Hallan, Stein, Hamet, Pavel, Hartman, Catharina, Hayward, Caroline, Heid, Iris, Hellwege, Jacklyn, Holleczek, Bernd, Holm, Hilma, Hutri-Kähönen, Nina, Hveem, Kristian, Isermann, Berend, Jonas, Jost, Joshi, Peter, Kamatani, Yoichiro, Kanai, Masahiro, Kastarinen, Mika, Khor, Chiea, Kiess, Wieland, Kleber, Marcus, Körner, Antje, Kovacs, Peter, Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard, Kuokkanen, Mikko, Kähönen, Mika, Lange, Leslie, Lash, James, Lehtimäki, Terho, Li, Hengtong, Lin, Bridget, Liu, Jianjun, Loeffler, Markus, Lyytikäinen, Leo-Pekka, Magnusson, Patrik, Martin, Nicholas, Matsuda, Koichi, Milaneschi, Yuri, Mishra, Pashupati, Mononen, Nina, Montgomery, Grant, Mook-Kanamori, Dennis, Mychaleckyj, Josyf, März, Winfried, Nauck, Matthias, Nikus, Kjell, Nolte, Ilja, Noordam, Raymond, Okada, Yukinori, Olafsson, Isleifur, Oldehinkel, Albertine, Penninx, Brenda, Perola, Markus, Pirastu, Nicola, and Polasek, Ozren

Subjects
Humans, Male, Female, Androgens, Genome-Wide Association Study, Kidney, Chromosomes, Human, X, Response Elements, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Tetraspanins
Abstract

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.

Published
2024

4. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial.

Author

Lai, Mason, Hsu, Fang-Chi, Bauer, Scott, Chen, Shyh-Huei, Tse, Warren, Jotwani, Vasantha, Tranah, Gregory, Lai, Jennifer, Hallan, Stein, Fielding, Roger, Liu, Christine, Ix, Joachim, Coca, Steven, Shlipak, Michael, and Sheshadri, Anoop

Subjects
Biomarkers, exercise, kidney health, older adults, physical activity
Abstract

RATIONALE & OBJECTIVE: In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect. STUDY DESIGN: Randomized controlled trial. SETTING & POPULATION: A total of 1,381 sedentary adults aged 70-89 years enrolled in the LIFE trial. INTERVENTION: Structured, 2-year, moderate-intensity exercise intervention versus health education. OUTCOMES: Physical activity was measured by step count. Primary outcomes were changes in 14 serum and urine biomarkers of kidney health collected at baseline, year 1, and year 2. We determined the effect of randomization on changes in kidney measures and then evaluated observational associations of achieved activity on each measure. RESULTS: Participants assigned to exercise walked on average 291 more steps per day than participants assigned to health education. The intervention was not significantly associated with changes in biomarkers of kidney health. In observational analyses, persons in the highest versus lowest quartile of activity (≥3,470 vs

Published
2023

5. Clinical Risk Factors For Kidney Tubule Biomarker Abnormalities Among Hypertensive Adults With Reduced eGFR in the SPRINT Trial.

Author

Ikeme, Jesse, Katz, Ronit, Muiru, Anthony, Estrella, Michelle, Garimella, Pranav, Hallan, Stein, Peralta, Carmen, Ix, Joachim, Shlipak, Michael, and Scherzer, Rebecca

Subjects
biomarkers, blood pressure, chronic, cross-sectional studies, hypertension, kidney tubules, renal insufficiency, Humans, Child, Glomerular Filtration Rate, Cross-Sectional Studies, Kidney Tubules, Risk Factors
Abstract

BACKGROUND: Urine biomarkers of kidney tubule health may distinguish aspects of kidney damage that cannot be captured by current glomerular measures. Associations of clinical risk factors with specific kidney tubule biomarkers have not been evaluated in detail. METHODS: We performed a cross-sectional study in the Systolic Blood Pressure Intervention Trial among 2,436 participants with a baseline estimated glomerular filtration rate (eGFR)

Published
2022

6. Estimated Kidney Tubular Secretion and Kidney, Cardiovascular, and Mortality Outcomes in CKD: The Systolic Blood Pressure Intervention Trial

Author

Ascher, Simon B, Shlipak, Michael G, Katz, Ronit, Bullen, Alexander L, Scherzer, Rebecca, Hallan, Stein I, Cheung, Alfred K, Raphael, Kalani L, Estrella, Michelle M, Jotwani, Vasantha K, Seegmiller, Jesse C, Ix, Joachim H, and Garimella, Pranav S

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Clinical Trials and Supportive Activities, Prevention, Heart Disease, Cardiovascular, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Renal and urogenital, Good Health and Well Being, CKD progression, CVD, hypertension, kidney function decline, mortality, tubular secretion, Clinical sciences
Abstract

Rational & objectiveMany drugs, metabolites, and toxins are cleared by the kidneys via tubular secretion. Whether novel endogenous measures of tubular secretion provide information about kidney, cardiovascular, and mortality risk is uncertain.Study designLongitudinal subgroup analysis of clinical trial participants.Setting & participants2,089 Systolic Blood Pressure Intervention Trial participants with estimated glomerular filtration rate (eGFR) 1 g/d were excluded.ConclusionsAmong SPRINT participants with CKD, lower estimated tubular secretion was associated with faster eGFR decline, independent of baseline eGFR and albuminuria, but not with CKD progression, CVD, or mortality.

Published
2022

10. Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium

Author

Inker, Lesley A, Grams, Morgan E, Levey, Andrew S, Coresh, Josef, Cirillo, Massimo, Collins, John F, Gansevoort, Ron T, Gutierrez, Orlando M, Hamano, Takayuki, Heine, Gunnar H, Ishikawa, Shizukiyo, Jee, Sun Ha, Kronenberg, Florian, Landray, Martin J, Miura, Katsuyuki, Nadkarni, Girish N, Peralta, Carmen A, Rothenbacher, Dietrich, Schaeffner, Elke, Sedaghat, Sanaz, Shlipak, Michael G, Zhang, Luxia, van Zuilen, Arjan D, Hallan, Stein I, Kovesdy, Csaba P, Woodward, Mark, Levin, Adeera, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Yatsuya, Hiroshi, Tamakoshi, Koji, Li, Yuanying, Hirakawa, Yoshihisa, Matsushita, Kunihiro, Grams, Morgan, Sang, Yingying, Polkinghorne, Kevan, Chadban, Steven, Atkins, Robert, Djurdjev, Ognjenka, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Ebert, Natalie, Martus, Peter, Tang, Mila, Heine, Gunnar, Emrich, Insa, Seiler, Sarah, Zawada, Adam, Nally, Joseph, Navaneethan, Sankar, Schold, Jesse, Shlipak, Michael, Sarnak, Mark, Katz, Ronit, Hiramoto, Jade, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hasegawa, Takeshi, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Brenner, Hermann, Schöttker, Ben, Saum, Kai-Uwe, Fox, Caroline, Hwang, Shih-Jen, Köttgen, Anna, Schneider, Markus P, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, and Chang, Alex R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Women's Health, Clinical Research, Kidney Disease, Renal and urogenital, Good Health and Well Being, Aged, Albuminuria, Blood Chemical Analysis, Creatinine, Cross-Sectional Studies, Disease Progression, Female, Global Health, Glomerular Filtration Rate, Humans, Hypertension, Renal, Internationality, Kidney Function Tests, Male, Middle Aged, Predictive Value of Tests, Renal Insufficiency, Chronic, Retrospective Studies, Sensitivity and Specificity, Severity of Illness Index, Urinalysis, CKD Prognosis Consortium, CKD stage, Chronic kidney disease, albuminuria, anemia, diabetes, glomerular filtration rate, hematocrit, hemoglobin, hyperparathyroidism, hypertension, individual-level meta-analysis, kidney function, laboratory abnormality, laboratory tests, meta-analysis, serum bicarbonate, serum calcium, serum intact parathyroid hormone, serum phosphorus, serum potassium, staging system, Public Health and Health Services, Urology & Nephrology, Clinical sciences
Abstract

Rationale & objectiveChronic kidney disease (CKD) is complicated by abnormalities that reflect disruption in filtration, tubular, and endocrine functions of the kidney. Our aim was to explore the relationship of specific laboratory result abnormalities and hypertension with the estimated glomerular filtration rate (eGFR) and albuminuria CKD staging framework.Study designCross-sectional individual participant-level analyses in a global consortium.Setting & study populations17 CKD and 38 general population and high-risk cohorts.Selection criteria for studiesCohorts in the CKD Prognosis Consortium with data for eGFR and albuminuria, as well as a measurement of hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, or calcium, or hypertension.Data extractionData were obtained and analyzed between July 2015 and January 2018.Analytical approachWe modeled the association of eGFR and albuminuria with hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, and calcium values using linear regression and with hypertension and categorical definitions of each abnormality using logistic regression. Results were pooled using random-effects meta-analyses.ResultsThe CKD cohorts (n=254,666 participants) were 27% women and 10% black, with a mean age of 69 (SD, 12) years. The general population/high-risk cohorts (n=1,758,334) were 50% women and 2% black, with a mean age of 50 (16) years. There was a strong graded association between lower eGFR and all laboratory result abnormalities (ORs ranging from 3.27 [95% CI, 2.68-3.97] to 8.91 [95% CI, 7.22-10.99] comparing eGFRs of 15 to 29 with eGFRs of 45 to 59mL/min/1.73m2), whereas albuminuria had equivocal or weak associations with abnormalities (ORs ranging from 0.77 [95% CI, 0.60-0.99] to 1.92 [95% CI, 1.65-2.24] comparing urinary albumin-creatinine ratio > 300 vs < 30mg/g).LimitationsVariations in study era, health care delivery system, typical diet, and laboratory assays.ConclusionsLower eGFR was strongly associated with higher odds of multiple laboratory result abnormalities. Knowledge of risk associations might help guide management in the heterogeneous group of patients with CKD.

Published
2019

11. Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium

Author

Chang, Alex R, Grams, Morgan E, Ballew, Shoshana H, Bilo, Henk, Correa, Adolfo, Evans, Marie, Gutierrez, Orlando M, Hosseinpanah, Farhad, Iseki, Kunitoshi, Kenealy, Timothy, Klein, Barbara, Kronenberg, Florian, Lee, Brian J, Li, Yuanying, Miura, Katsuyuki, Navaneethan, Sankar D, Roderick, Paul J, Valdivielso, Jose M, Visseren, Frank LJ, Zhang, Luxia, Gansevoort, Ron T, Hallan, Stein I, Levey, Andrew S, Matsushita, Kunihiro, Shalev, Varda, Woodward, Mark, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Yatsuya, Hiroshi, Tamakoshi, Koji, Hirakawa, Yoshihisa, Coresh, Josef, Sang, Yingying, Polkinghorne, Kevan, Chadban, Steven, Atkins, Robert, Levin, Adeera, Djurdjev, Ognjenka, Klein, Ron, Lee, Kristine, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Tang, Mila, Heine, Gunnar, Emrich, Insa, Zawada, Adam, Bauer, Lucie, Nally, Joseph, Schold, Jesse, Shlipak, Michael, Sarnak, Mark, Katz, Ronit, Hiramoto, Jade, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Hasegawa, Takeshi, Fujii, Naohiko, Jafar, Tazeen, Hatcher, Juanita, Poulter, Neil, Chaturvedi, Nish, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Brenner, Hermann, Schöttker, Ben, Saum, Kai-Uwe, Rothenbacher, Dietrich, Fox, Caroline, Hwang, Shih-Jen, Köttgen, Anna, Schneider, Markus P, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Ito, Sadayoshi, Miyazaki, Mariko, Nakayama, Masaaki, Yamada, Cirillo, Massimo, Romundstad, Solfrid, Øvrehus, Marius, Langlo, Knut Asbjørn, Irie, Fujiko, Sairenchi, Toshimi, Rebholz, Casey M, and Young, Bessie

Subjects
Epidemiology, Health Sciences, Obesity, Kidney Disease, Cardiovascular, Aging, Prevention, Nutrition, Clinical Research, Good Health and Well Being, Adiposity, Adult, Aged, Aged, 80 and over, Body Height, Body Mass Index, Cohort Studies, Female, Glomerular Filtration Rate, Humans, Kidney Failure, Chronic, Male, Middle Aged, Mortality, Risk Factors, Waist Circumference, CKD Prognosis Consortium, Clinical Sciences, Public Health and Health Services, General & Internal Medicine, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

ObjectiveTo evaluate the associations between adiposity measures (body mass index, waist circumference, and waist-to-height ratio) with decline in glomerular filtration rate (GFR) and with all cause mortality.DesignIndividual participant data meta-analysis.SettingCohorts from 40 countries with data collected between 1970 and 2017.ParticipantsAdults in 39 general population cohorts (n=5 459 014), of which 21 (n=594 496) had data on waist circumference; six cohorts with high cardiovascular risk (n=84 417); and 18 cohorts with chronic kidney disease (n=91 607).Main outcome measuresGFR decline (estimated GFR decline ≥40%, initiation of kidney replacement therapy or estimated GFR

Published
2019

12. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

Author

Gorski, Mathias, Rasheed, Humaira, Teumer, Alexander, Thomas, Laurent F., Graham, Sarah E., Sveinbjornsson, Gardar, Winkler, Thomas W., Günther, Felix, Stark, Klaus J., Chai, Jin-Fang, Tayo, Bamidele O., Wuttke, Matthias, Li, Yong, Tin, Adrienne, Ahluwalia, Tarunveer S., Ärnlöv, Johan, Åsvold, Bjørn Olav, Bakker, Stephan J.L., Banas, Bernhard, Bansal, Nisha, Biggs, Mary L., Biino, Ginevra, Böhnke, Michael, Boerwinkle, Eric, Bottinger, Erwin P., Brenner, Hermann, Brumpton, Ben, Carroll, Robert J., Chaker, Layal, Chalmers, John, Chee, Miao-Li, Chee, Miao-Ling, Cheng, Ching-Yu, Chu, Audrey Y., Ciullo, Marina, Cocca, Massimiliano, Cook, James P., Coresh, Josef, Cusi, Daniele, de Borst, Martin H., Degenhardt, Frauke, Eckardt, Kai-Uwe, Endlich, Karlhans, Evans, Michele K., Feitosa, Mary F., Franke, Andre, Freitag-Wolf, Sandra, Fuchsberger, Christian, Gampawar, Piyush, Gansevoort, Ron T., Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Gieger, Christian, Gudbjartsson, Daniel F., Hallan, Stein, Hamet, Pavel, Hishida, Asahi, Ho, Kevin, Hofer, Edith, Holleczek, Bernd, Holm, Hilma, Hoppmann, Anselm, Horn, Katrin, Hutri-Kähönen, Nina, Hveem, Kristian, Hwang, Shih-Jen, Ikram, M. Arfan, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Karabegović, Irma, Khor, Chiea-Chuen, Koenig, Wolfgang, Kramer, Holly, Krämer, Bernhard K., Kühnel, Brigitte, Kuusisto, Johanna, Laakso, Markku, Lange, Leslie A., Lehtimäki, Terho, Li, Man, Lieb, Wolfgang, Lind, Lars, Lindgren, Cecilia M., Loos, Ruth J.F., Lukas, Mary Ann, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Matias-Garcia, Pamela R., Meisinger, Christa, Meitinger, Thomas, Melander, Olle, Milaneschi, Yuri, Mishra, Pashupati P., Mononen, Nina, Morris, Andrew P., Mychaleckyj, Josyf C., Nadkarni, Girish N., Naito, Mariko, Nakatochi, Masahiro, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, Ilja M., Nutile, Teresa, O’Donoghue, Michelle L., O'Connell, Jeffrey, Olafsson, Isleifur, Orho-Melander, Marju, Parsa, Afshin, Pendergrass, Sarah A., Penninx, Brenda W.J.H., Pirastu, Mario, Preuss, Michael H., Psaty, Bruce M., Raffield, Laura M., Raitakari, Olli T., Rheinberger, Myriam, Rice, Kenneth M., Rizzi, Federica, Rosenkranz, Alexander R., Rossing, Peter, Rotter, Jerome I., Ruggiero, Daniela, Ryan, Kathleen A., Sabanayagam, Charumathi, Salvi, Erika, Schmidt, Helena, Schmidt, Reinhold, Scholz, Markus, Schöttker, Ben, Schulz, Christina-Alexandra, Sedaghat, Sanaz, Shaffer, Christian M., Sieber, Karsten B., Sim, Xueling, Sims, Mario, Snieder, Harold, Stanzick, Kira J., Thorsteinsdottir, Unnur, Stocker, Hannah, Strauch, Konstantin, Stringham, Heather M., Sulem, Patrick, Szymczak, Silke, Taylor, Kent D., Thio, Chris H.L., Tremblay, Johanne, Vaccargiu, Simona, van der Harst, Pim, van der Most, Peter J., Verweij, Niek, Völker, Uwe, Wakai, Kenji, Waldenberger, Melanie, Wallentin, Lars, Wallner, Stefan, Wang, Judy, Waterworth, Dawn M., White, Harvey D., Willer, Cristen J., Wong, Tien-Yin, Woodward, Mark, Yang, Qiong, Yerges-Armstrong, Laura M., Zimmermann, Martina, Zonderman, Alan B., Bergler, Tobias, Stefansson, Kari, Böger, Carsten A., Pattaro, Cristian, Köttgen, Anna, Kronenberg, Florian, and Heid, Iris M.

Published
2022
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13. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author

Winkler, Thomas W., Rasheed, Humaira, Teumer, Alexander, Gorski, Mathias, Rowan, Bryce X., Stanzick, Kira J., Thomas, Laurent F., Tin, Adrienne, Hoppmann, Anselm, Chu, Audrey Y., Tayo, Bamidele, Thio, Chris H. L., Cusi, Daniele, Chai, Jin-Fang, Sieber, Karsten B., Horn, Katrin, Li, Man, Scholz, Markus, Cocca, Massimiliano, Wuttke, Matthias, van der Most, Peter J., Yang, Qiong, Ghasemi, Sahar, Nutile, Teresa, Li, Yong, Pontali, Giulia, Günther, Felix, Dehghan, Abbas, Correa, Adolfo, Parsa, Afshin, Feresin, Agnese, de Vries, Aiko P. J., Zonderman, Alan B., Smith, Albert V., Oldehinkel, Albertine J., De Grandi, Alessandro, Rosenkranz, Alexander R., Franke, Andre, Teren, Andrej, Metspalu, Andres, Hicks, Andrew A., Morris, Andrew P., Tönjes, Anke, Morgan, Anna, Podgornaia, Anna I., Peters, Annette, Körner, Antje, Mahajan, Anubha, Campbell, Archie, Freedman, Barry I., Spedicati, Beatrice, Ponte, Belen, Schöttker, Ben, Brumpton, Ben, Banas, Bernhard, Krämer, Bernhard K., Jung, Bettina, Åsvold, Bjørn Olav, Smith, Blair H., Ning, Boting, Penninx, Brenda W. J. H., Vanderwerff, Brett R., Psaty, Bruce M., Kammerer, Candace M., Langefeld, Carl D., Hayward, Caroline, Spracklen, Cassandra N., Robinson-Cohen, Cassianne, Hartman, Catharina A., Lindgren, Cecilia M., Wang, Chaolong, Sabanayagam, Charumathi, Heng, Chew-Kiat, Lanzani, Chiara, Khor, Chiea-Chuen, Cheng, Ching-Yu, Fuchsberger, Christian, Gieger, Christian, Shaffer, Christian M., Schulz, Christina-Alexandra, Willer, Cristen J., Chasman, Daniel I., Gudbjartsson, Daniel F., Ruggiero, Daniela, Toniolo, Daniela, Czamara, Darina, Porteous, David J., Waterworth, Dawn M., Mascalzoni, Deborah, Mook-Kanamori, Dennis O., Reilly, Dermot F., Daw, E. Warwick, Hofer, Edith, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Tai, E-Shyong, Catamo, Eulalia, Rizzi, Federica, Guo, Feng, Rivadeneira, Fernando, Guilianini, Franco, Sveinbjornsson, Gardar, Ehret, Georg, Waeber, Gerard, Biino, Ginevra, Girotto, Giorgia, Pistis, Giorgio, Nadkarni, Girish N., Delgado, Graciela E., Montgomery, Grant W., Snieder, Harold, Campbell, Harry, White, Harvey D., Gao, He, Stringham, Heather M., Schmidt, Helena, Li, Hengtong, Brenner, Hermann, Holm, Hilma, Kirsten, Holgen, Kramer, Holly, Rudan, Igor, Nolte, Ilja M., Tzoulaki, Ioanna, Olafsson, Isleifur, Martins, Jade, Cook, James P., Wilson, James F., Halbritter, Jan, Felix, Janine F., Divers, Jasmin, Kooner, Jaspal S., Lee, Jeannette Jen-Mai, O’Connell, Jeffrey, Rotter, Jerome I., Liu, Jianjun, Xu, Jie, Thiery, Joachim, Ärnlöv, Johan, Kuusisto, Johanna, Jakobsdottir, Johanna, Tremblay, Johanne, Chambers, John C., Whitfield, John B., Gaziano, John M., Marten, Jonathan, Coresh, Josef, Jonas, Jost B., Mychaleckyj, Josyf C., Christensen, Kaare, Eckardt, Kai-Uwe, Mohlke, Karen L., Endlich, Karlhans, Dittrich, Katalin, Ryan, Kathleen A., Rice, Kenneth M., Taylor, Kent D., Ho, Kevin, Nikus, Kjell, Matsuda, Koichi, Strauch, Konstantin, Miliku, Kozeta, Hveem, Kristian, Lind, Lars, Wallentin, Lars, Yerges-Armstrong, Laura M., Raffield, Laura M., Phillips, Lawrence S., Launer, Lenore J., Lyytikäinen, Leo-Pekka, Lange, Leslie A., Citterio, Lorena, Klaric, Lucija, Ikram, M. Arfan, Ising, Marcus, Kleber, Marcus E., Francescatto, Margherita, Concas, Maria Pina, Ciullo, Marina, Piratsu, Mario, Orho-Melander, Marju, Laakso, Markku, Loeffler, Markus, Perola, Markus, de Borst, Martin H., Gögele, Martin, Bianca, Martina La, Lukas, Mary Ann, Feitosa, Mary F., Biggs, Mary L., Wojczynski, Mary K., Kavousi, Maryam, Kanai, Masahiro, Akiyama, Masato, Yasuda, Masayuki, Nauck, Matthias, Waldenberger, Melanie, Chee, Miao-Li, Chee, Miao-Ling, Boehnke, Michael, Preuss, Michael H., Stumvoll, Michael, Province, Michael A., Evans, Michele K., O’Donoghue, Michelle L., Kubo, Michiaki, Kähönen, Mika, Kastarinen, Mika, Nalls, Mike A., Kuokkanen, Mikko, Ghanbari, Mohsen, Bochud, Murielle, Josyula, Navya Shilpa, Martin, Nicholas G., Tan, Nicholas Y. Q., Palmer, Nicholette D., Pirastu, Nicola, Schupf, Nicole, Verweij, Niek, Hutri-Kähönen, Nina, Mononen, Nina, Bansal, Nisha, Devuyst, Olivier, Melander, Olle, Raitakari, Olli T., Polasek, Ozren, Manunta, Paolo, Gasparini, Paolo, Mishra, Pashupati P., Sulem, Patrick, Magnusson, Patrik K. E., Elliott, Paul, Ridker, Paul M., Hamet, Pavel, Svensson, Per O., Joshi, Peter K., Kovacs, Peter, Pramstaller, Peter P., Rossing, Peter, Vollenweider, Peter, van der Harst, Pim, Dorajoo, Rajkumar, Sim, Ralene Z. H., Burkhardt, Ralph, Tao, Ran, Noordam, Raymond, Mägi, Reedik, Schmidt, Reinhold, de Mutsert, Renée, Rueedi, Rico, van Dam, Rob M., Carroll, Robert J., Gansevoort, Ron T., Loos, Ruth J. F., Felicita, Sala Cinzia, Sedaghat, Sanaz, Padmanabhan, Sandosh, Freitag-Wolf, Sandra, Pendergrass, Sarah A., Graham, Sarah E., Gordon, Scott D., Hwang, Shih-Jen, Kerr, Shona M., Vaccargiu, Simona, Patil, Snehal B., Hallan, Stein, Bakker, Stephan J. L., Lim, Su-Chi, Lucae, Susanne, Vogelezang, Suzanne, Bergmann, Sven, Corre, Tanguy, Ahluwalia, Tarunveer S., Lehtimäki, Terho, Boutin, Thibaud S., Meitinger, Thomas, Wong, Tien-Yin, Bergler, Tobias, Rabelink, Ton J., Esko, Tõnu, Haller, Toomas, Thorsteinsdottir, Unnur, Völker, Uwe, Foo, Valencia Hui Xian, Salomaa, Veikko, Vitart, Veronique, Giedraitis, Vilmantas, Gudnason, Vilmundur, Jaddoe, Vincent W. V., Huang, Wei, Zhang, Weihua, Wei, Wen Bin, Kiess, Wieland, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Gao, Xin, Sim, Xueling, Wang, Ya Xing, Friedlander, Yechiel, Tham, Yih-Chung, Kamatani, Yoichiro, Okada, Yukinori, Milaneschi, Yuri, Yu, Zhi, Stark, Klaus J., Stefansson, Kari, Böger, Carsten A., Hung, Adriana M., Kronenberg, Florian, Köttgen, Anna, Pattaro, Cristian, and Heid, Iris M.

Published
2022
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15. Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.

Author

Kovesdy, Csaba P, Matsushita, Kunihiro, Sang, Yingying, Brunskill, Nigel J, Carrero, Juan J, Chodick, Gabriel, Hasegawa, Takeshi, Heerspink, Hiddo L, Hirayama, Atsushi, Landman, Gijs WD, Levin, Adeera, Nitsch, Dorothea, Wheeler, David C, Coresh, Josef, Hallan, Stein I, Shalev, Varda, Grams, Morgan E, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Woodward, Mark, Arima, Hisatomi, Perkovic, Vlado, Djurdjev, Ognjenka, Zhang, Luxia, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Tang, Mila, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Cirillo, Massimo, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Sarnak, Mark, Inker, Lesley, Roderick, Paul, Fletcher, Astrid, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Brunskill, Nigel, Major, Rupert, Shepherd, David, Medcalf, James, Gansevoort, Ron T, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kovesdy, Csaba, Kalantar-Zadeh, Kamyar, de Zeeuw, Dick, Brenner, Barry, Gasparini, Alessandro, Elinder, Carl-Gustaf, Barany, Peter, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Wen, Chi-Pang, and Tsao, Chwen-Keng

Subjects
Kidney Disease, Prevention, Clinical Research, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Renal and urogenital, Cardiovascular, Good Health and Well Being, Adult, Aged, Albuminuria, Cardiovascular Diseases, Cause of Death, Comorbidity, Glomerular Filtration Rate, Humans, Hyperkalemia, Hypokalemia, Kidney Failure, Chronic, Middle Aged, Prognosis, Renal Insufficiency, Chronic, Risk Factors, Potassium, Estimated glomerular filtration rate, End-stage renal disease, Mortality, CKD Prognosis Consortium, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology
Abstract

AimsBoth hypo- and hyperkalaemia can have immediate deleterious physiological effects, and less is known about long-term risks. The objective was to determine the risks of all-cause mortality, cardiovascular mortality, and end-stage renal disease associated with potassium levels across the range of kidney function and evaluate for consistency across cohorts in a global consortium.Methods and resultsWe performed an individual-level data meta-analysis of 27 international cohorts [10 general population, 7 high cardiovascular risk, and 10 chronic kidney disease (CKD)] in the CKD Prognosis Consortium. We used Cox regression followed by random-effects meta-analysis to assess the relationship between baseline potassium and adverse outcomes, adjusted for demographic and clinical characteristics, overall and across strata of estimated glomerular filtration rate (eGFR) and albuminuria. We included 1 217 986 participants followed up for a mean of 6.9 years. The average age was 55 ± 16 years, average eGFR was 83 ± 23 mL/min/1.73 m2, and 17% had moderate- to-severe increased albuminuria levels. The mean baseline potassium was 4.2 ± 0.4 mmol/L. The risk of serum potassium of >5.5 mmol/L was related to lower eGFR and higher albuminuria. The risk relationship between potassium levels and adverse outcomes was U-shaped, with the lowest risk at serum potassium of 4-4.5 mmol/L. Compared with a reference of 4.2 mmol/L, the adjusted hazard ratio for all-cause mortality was 1.22 [95% confidence interval (CI) 1.15-1.29] at 5.5 mmol/L and 1.49 (95% CI 1.26-1.76) at 3.0 mmol/L. Risks were similar by eGFR, albuminuria, renin-angiotensin-aldosterone system inhibitor use, and across cohorts.ConclusionsOutpatient potassium levels both above and below the normal range are consistently associated with adverse outcomes, with similar risk relationships across eGFR and albuminuria.

Published
2018

18. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Author

Matsushita, Kunihiro, Ballew, Shoshana H, Coresh, Josef, Arima, Hisatomi, Ärnlöv, Johan, Cirillo, Massimo, Ebert, Natalie, Hiramoto, Jade S, Kimm, Heejin, Shlipak, Michael G, Visseren, Frank LJ, Gansevoort, Ron T, Kovesdy, Csaba P, Shalev, Varda, Woodward, Mark, Kronenberg, Florian, Chalmers, John, Perkovic, Vlado, Grams, Morgan E, Sang, Yingying, Schaeffner, Elke, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Seiler, Sarah, Zawada, Adam, Emrich, Insa, Sarnak, Mark, Katz, Ronit, Brenner, Hermann, Schöttker, Ben, Rothenbacher, Dietrich, Saum, Kai-Uwe, Köttgen, Anna, Schneider, Markus, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Black, Corri, Marks, Angharad, Prescott, Gordon, Clark, Laura, Fluck, Nick, Jee, Sun Ha, Mok, Yejin, Chodick, Gabriel, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Peralta, Carmen, Hiromoto, Jade, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Kenealy, Timothy, Elley, C Raina, Collins, John F, Drury, Paul L, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kalantar-Zadeh, Kamyar, Carrero, Juan J, Gasparini, Alessandro, Qureshi, Abdul Rashid, Barany, Peter, Algra, Ale, van der Graaf, Yolanda, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Lannfelt, Lars, Larsson, Anders, Hallan, Stein, Levey, Andrew S, Chen, Jingsha, and Kwak, Lucia

Subjects
Clinical Research, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Adult, Aged, Albuminuria, Creatinine, Databases, Factual, Female, Glomerular Filtration Rate, Humans, Incidence, Male, Middle Aged, Peripheral Arterial Disease, Renal Insufficiency, Chronic, Risk Factors, Chronic Kidney Disease Prognosis Consortium, Medical Biochemistry and Metabolomics, Clinical Sciences, Public Health and Health Services
Abstract

BackgroundSome evidence suggests that chronic kidney disease is a risk factor for lower-extremity peripheral artery disease. We aimed to quantify the independent and joint associations of two measures of chronic kidney disease (estimated glomerular filtration rate [eGFR] and albuminuria) with the incidence of peripheral artery disease.MethodsIn this collaborative meta-analysis of international cohorts included in the Chronic Kidney Disease Prognosis Consortium (baseline measurements obtained between 1972 and 2014) with baseline measurements of eGFR and albuminuria, at least 1000 participants (this criterion not applied to cohorts exclusively enrolling patients with chronic kidney disease), and at least 50 peripheral artery disease events, we analysed adult participants without peripheral artery disease at baseline at the individual patient level with Cox proportional hazards models to quantify associations of creatinine-based eGFR, urine albumin-to-creatinine ratio (ACR), and dipstick proteinuria with the incidence of peripheral artery disease (including hospitalisation with a diagnosis of peripheral artery disease, intermittent claudication, leg revascularisation, and leg amputation). We assessed discrimination improvement through c-statistics.FindingsWe analysed 817 084 individuals without a history of peripheral artery disease at baseline from 21 cohorts. 18 261 cases of peripheral artery disease were recorded during follow-up across cohorts (median follow-up was 7·4 years [IQR 5·7-8·9], range 2·0-15·8 years across cohorts). Both chronic kidney disease measures were independently associated with the incidence of peripheral artery disease. Compared with an eGFR of 95 mL/min per 1·73 m2, adjusted hazard ratios (HRs) for incident study-specific peripheral artery disease was 1·22 (95% CI 1·14-1·30) at an eGFR of 45 mL/min per 1·73 m2 and 2·06 (1·70-2·48) at an eGFR of 15 mL/min per 1·73 m2. Compared with an ACR of 5 mg/g, the adjusted HR for incident study-specific peripheral artery disease was 1·50 (1·41-1·59) at an ACR of 30 mg/g and 2·28 (2·12-2·44) at an ACR of 300 mg/g. The adjusted HR at an ACR of 300 mg/g versus 5 mg/g was 3·68 (95% CI 3·00-4·52) for leg amputation. eGFR and albuminuria contributed multiplicatively (eg, adjusted HR 5·76 [4·90-6·77] for incident peripheral artery disease and 10·61 [5·70-19·77] for amputation in eGFR

Published
2017

20. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis

Author

Tangri, Navdeep, Grams, Morgan E, Levey, Andrew S, Coresh, Josef, Appel, Lawrence J, Astor, Brad C, Chodick, Gabriel, Collins, Allan J, Djurdjev, Ognjenka, Elley, C Raina, Evans, Marie, Garg, Amit X, Hallan, Stein I, Inker, Lesley A, Ito, Sadayoshi, Jee, Sun Ha, Kovesdy, Csaba P, Kronenberg, Florian, Heerspink, Hiddo JL, Marks, Angharad, Nadkarni, Girish N, Navaneethan, Sankar D, Nelson, Robert G, Titze, Stephanie, Sarnak, Mark J, Stengel, Benedicte, Woodward, Mark, and Iseki, Kunitoshi

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Prevention, Kidney Disease, Renal and urogenital, Cohort Studies, Disease Progression, Humans, Prognosis, Proportional Hazards Models, Renal Insufficiency, Renal Insufficiency, Chronic, Risk Assessment, CKD Prognosis Consortium, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

ImportanceIdentifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed.ObjectiveTo evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis.Data sourcesThirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014.Study selectionCohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease.Data extraction and synthesisData were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed.Main outcomes and measuresKidney failure (treatment by dialysis or kidney transplant).ResultsDuring a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02).Conclusions and relevanceKidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.

Published
2016

22. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Diabetes Mellitus, and Hypertension With Acute Kidney Injury

Author

James, Matthew T, Grams, Morgan E, Woodward, Mark, Elley, C Raina, Green, Jamie A, Wheeler, David C, de Jong, Paul, Gansevoort, Ron T, Levey, Andrew S, Warnock, David G, Sarnak, Mark J, Tonelli, Marcello, Hemmelgarn, Brenda R, Turin, Tanvir Chowdhury, Coresh, Josef, Matsushita, Kunihiro, Grams, Morgan, Sang, Yingying, Shlipak, Michael, Katz, Ronit, Emberson, Jonathan, Landray, Martin J, Townend, Jonathan N, Green, Jamie, Kirchner, H Les, Perkins, Robert, Chang, Alex R, Romundstad, Solfrid, Aasarød, Knut, Øien, Cecilia M, Hallan, Stein, Smith, David H, Thorp, Micah L, Johnson, Eric S, Chodick, Gabriel, Herzel, Esma, Katz, Rachel, Shalev, Varda, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, van der Harst, Pim, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Tangri, Navdeep, Naimark, David, Ärnlöv, Johan, Larsson, Anders, Lannfelt, Lars, Kovesdy, Csaba P, Kalantar-Zadeh, Kamyar, de Jong, Paul E, Iseki, Kunitoshi, Stengel, Benedicte, Warnock, David, and Ballew, Shoshana H

Subjects
Nutrition, Kidney Disease, Clinical Research, Diabetes, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Metabolic and endocrine, Renal and urogenital, Acute Kidney Injury, Adult, Aged, Comorbidity, Diabetes Mellitus, Disease Progression, Female, Glomerular Filtration Rate, Humans, Hypertension, Incidence, Kidney Failure, Chronic, Male, Middle Aged, Prognosis, Renal Insufficiency, Chronic, Estimated glomerular filtration rate, renal function, albuminuria, albumin-creatine ratio, diabetes, hypertension, acute kidney injury, acute renal failure, Chronic Kidney Disease Prognosis Consortium, meta-analysis, CKD Prognosis Consortium, Clinical Sciences, Public Health and Health Services, Urology & Nephrology
Abstract

BackgroundDiabetes mellitus and hypertension are risk factors for acute kidney injury (AKI). Whether estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (ACR) remain risk factors for AKI in the presence and absence of these conditions is uncertain.Study designMeta-analysis of cohort studies.Setting & population8 general-population (1,285,045 participants) and 5 chronic kidney disease (CKD; 79,519 participants) cohorts.Selection criteria for studiesCohorts participating in the CKD Prognosis Consortium.PredictorsDiabetes and hypertension status, eGFR by the 2009 CKD Epidemiology Collaboration creatinine equation, urine ACR, and interactions.OutcomeHospitalization with AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.ResultsDuring a mean follow-up of 4 years, there were 16,480 episodes of AKI in the general-population and 2,087 episodes in the CKD cohorts. Low eGFRs and high ACRs were associated with higher risks of AKI in individuals with or without diabetes and with or without hypertension. When compared to a common reference of eGFR of 80mL/min/1.73m(2) in nondiabetic patients, HRs for AKI were generally higher in diabetic patients at any level of eGFR. The same was true for diabetic patients at all levels of ACR compared with nondiabetic patients. The risk gradient for AKI with lower eGFRs was greater in those without diabetes than with diabetes, but similar with higher ACRs in those without versus with diabetes. Those with hypertension had a higher risk of AKI at eGFRs>60mL/min/1.73m(2) than those without hypertension. However, risk gradients for AKI with both lower eGFRs and higher ACRs were greater for those without than with hypertension.LimitationsAKI identified by diagnostic code.ConclusionsLower eGFRs and higher ACRs are associated with higher risks of AKI among individuals with or without either diabetes or hypertension.

Published
2015

23. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury

Author

Grams, Morgan E, Sang, Yingying, Ballew, Shoshana H, Gansevoort, Ron T, Kimm, Heejin, Kovesdy, Csaba P, Naimark, David, Oien, Cecilia, Smith, David H, Coresh, Josef, Sarnak, Mark J, Stengel, Benedicte, Tonelli, Marcello, Hemmelgarn, Brenda R, James, Matthew T, Turin, Tanvir Chowdhury, Matsushita, Kunihiro, Grams, Morgan, Shlipak, Michael, Katz, Ronit, Wheeler, David C, Emberson, Jonathan, Landray, Martin J, Townend, Jonathan N, Green, Jamie, Kirchner, H Les, Perkins, Robert, Chang, Alex R, Romundstad, Solfrid, Aasarød, Knut, Øien, Cecilia M, Hallan, Stein, Thorp, Micah L, Johnson, Eric S, Chodick, Gabriel, Herzel, Esma, Katz, Rachel, Shalev, Varda, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, van der Harst, Pim, Jee, Sun Ha, Mok, Yejin, Tangri, Navdeep, Ärnlöv, Johan, Larsson, Anders, Lannfelt, Lars, Kalantar-Zadeh, Kamyar, de Jong, Paul E, Iseki, Kunitoshi, Levey, Andrew S, Warnock, David, and Woodward, Mark

Subjects
Clinical Research, Prevention, Kidney Disease, Renal and urogenital, Acute Kidney Injury, Adolescent, Adult, African Americans, Age Distribution, Aged, Albuminuria, Female, Glomerular Filtration Rate, Humans, Incidence, Male, Middle Aged, Predictive Value of Tests, Prognosis, Racial Groups, Severity of Illness Index, Sex Distribution, Whites, Young Adult, Estimated glomerular filtration rate, renal function, albuminuria, albumin-creatinine ratio, proteinuria, age, race/ethnicity, sex, acute kidney injury, acute renal failure, Chronic Kidney Disease Prognosis Consortium, meta-analysis, CKD Prognosis Consortium, White People, Black or African American, Clinical Sciences, Public Health and Health Services, Urology & Nephrology
Abstract

BackgroundAcute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white).Study designCollaborative meta-analysis.Setting & population8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants).Selection criteria for studiesAvailable eGFR, ACR, and 50 or more AKI events.PredictorsAge, sex, race, eGFR, urine ACR, and interactions.OutcomeHospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.Results16,480 (1.3%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6%) CKD participants had AKI over a mean follow-up of 1 year. Lower eGFR and higher ACR were strongly associated with AKI. Compared with eGFR of 80mL/min/1.73m(2), the adjusted HR of AKI at eGFR of 45mL/min/1.73m(2) was 3.35 (95% CI, 2.75-4.07). Compared with ACR of 5mg/g, the risk of AKI at ACR of 300mg/g was 2.73 (95% CI, 2.18-3.43). Older age was associated with higher risk of AKI, but this effect was attenuated with lower eGFR or higher ACR. Male sex was associated with higher risk of AKI, with a slight attenuation in lower eGFR but not in higher ACR. African Americans had higher AKI risk at higher levels of eGFR and most levels of ACR.LimitationsOnly 2 general-population cohorts could contribute to analyses by race; AKI identified by diagnostic code.ConclusionsReduced eGFR and increased ACR are consistent strong risk factors for AKI, whereas associations of AKI with age, sex, and race may be weaker in more advanced stages of CKD.

Published
2015

24. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies

Author

Appel, Lawrence J, Greene, Tom, Chen, Teresa K, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Nally, Joseph, Navaneethan, Sankar D, Schold, Jesse D, Weldegiorgis, Misghina, Herrington, William G, Smith, Margaret, Hsu, C Yenchih, Hwang, Shih-Jen, Chang, Alex R, Kirchner, H. Lester, Green, Jamie A, Ho, Kevin, Marks, Angharad, Prescott, Gordon, Clark, Laura E, Fluck, Nick, Shalev, Varda, Chodick, Gabriel, Blankestijn, Peter J, Van Zuilen, Arjan, Van den Brand, Jan A, Sarnak, Mark J, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen G, Nadukuru, Rajiv, Metzger, Marie, Flamant, Martin, Houillier, Pascal, Haymann, Jean-Philippe, Froissart, Marc, Kenealy, Timothy, Elley, Raina C, Collins, John F, Drury, Paul L, Cuddeback, John K, Ciemins, Elizabeth L, Stempniewicz, Rich, Nelson, Robert G, Knowler, William C, Bakker, Stephen J, Major, Rupert W, Medcalf, James F, Shepherd, David, Barrett-Connor, Elizabeth, Bergstrom, Jaclyn, Ix, Joachim H, Molnar, Miklos Z, Sumida, Keiichi, de Zeeuw, Dick, Brenner, Barry, Qureshi, Abdul R, Elinder, Carl-Gustaf, Runesson, Bjorn, Evans, Marie, Segelmark, Marten, Stendahl, Maria, Schön, Staffan, Naimark, David M, Tangri, Navdeep, Sud, Maneesh, Hirayama, Atsushi, Ichikawa, Kazunobu, Bilo, Henk JG, Landman, Gijs WD, Van Hateren, Kornelis JJ, Kleefstra, Nanne, Hallan, Stein I, Ballew, Shoshana H, Chen, Jingsha, Kwak, Lucia, Surapaneni, Aditya, Parving, Hans-Henrik, Rodby, Roger A., Rohde, Richard D, Lewis, Julia B, Lewis, Edmund, Perrone, Ronald D, Abebe, Kaleab Z, Hou, Fan F, Xie, Di, Hunsicker, Lawrence G, Imai, Enyu, Kobayashi, Fumiaki, Makino, Hirofumi, Ito, Sadayoshi, Remuzzi, Giuseppe, Ruggenenti, Piero, Eckardt, Kai-Uwe, Gudmundsdottir, Hrefna, Maciulaitis, Romaldas, Manley, Tom, Smith, Kimberly, Stockbridge, Norman, Thompson, Aliza, Vetter, Thorsten, Willis, Kerry, Zhang, Luxia, Coresh, Josef, Heerspink, Hiddo J L, Sang, Yingying, Matsushita, Kunihiro, Arnlov, Johan, Astor, Brad C, Black, Corri, Brunskill, Nigel J, Carrero, Juan-Jesus, Feldman, Harold I, Fox, Caroline S, Inker, Lesley A, Ishani, Areef, Jassal, Simerjot, Konta, Tsuneo, Polkinghorne, Kevan, Romundstad, Solfrid, Solbu, Marit D, Stempniewicz, Nikita, Stengel, Benedicte, Tonelli, Marcello, Umesawa, Mitsumasa, Waikar, Sushrut S, Wen, Chi-Pang, Wetzels, Jack F M, Woodward, Mark, Grams, Morgan E, Kovesdy, Csaba P, Levey, Andrew S, and Gansevoort, Ron T

Published
2019
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25. Changes in Natriuretic Peptide Levels and Subsequent Kidney Function Decline in SPRINT

Author

Ascher, Simon B., primary, Berry, Jarett D., additional, Katz, Ronit, additional, de Lemos, James A., additional, Bansal, Nisha, additional, Garimella, Pranav S., additional, Hallan, Stein I., additional, Wettersten, Nicholas, additional, Jotwani, Vasantha K., additional, Killeen, Anthony A., additional, Ix, Joachim H., additional, and Shlipak, Michael G., additional

Published
2023
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26. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Author

Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Grams, Morgan E., Sang, Yingying, Schaeffner, Elke, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Seiler, Sarah, Zawada, Adam, Emrich, Insa, Sarnak, Mark, Katz, Ronit, Brenner, Hermann, Schöttker, Ben, Rothenbacher, Dietrich, Saum, Kai-Uwe, Köttgen, Anna, Schneider, Markus, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Black, Corri, Marks, Angharad, Prescott, Gordon, Clark, Laura, Fluck, Nick, Jee, Sun Ha, Mok, Yejin, Chodick, Gabriel, Shalev, Varda, Wetzels, Jack F.M., Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Peralta, Carmen, Hiromoto, Jade, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Kenealy, Timothy, Elley, C Raina, Collins, John F, Drury, Paul L, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kalantar-Zadeh, Kamyar, Carrero, Juan J, Gasparini, Alessandro, Qureshi, Abdul Rashid, Barany, Peter, Algra, Ale, van der Graaf, Yolanda, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Lannfelt, Lars, Larsson, Anders, Hallan, Stein, Levey, Andrew S, Chen, Jingsha, Kwak, Lucia, Matsushita, Kunihiro, Ballew, Shoshana H, Coresh, Josef, Ärnlöv, Johan, Cirillo, Massimo, Ebert, Natalie, Hiramoto, Jade S, Kimm, Heejin, Shlipak, Michael G, Visseren, Frank L J, Gansevoort, Ron T, Kovesdy, Csaba P, Woodward, Mark, and Kronenberg, Florian

Published
2017
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27. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis

Author

Graham, Sarah E., Nielsen, Jonas B., Zawistowski, Matthew, Zhou, Wei, Fritsche, Lars G., Gabrielsen, Maiken E., Skogholt, Anne Heidi, Surakka, Ida, Hornsby, Whitney E., Fermin, Damian, Larach, Daniel B., Kheterpal, Sachin, Brummett, Chad M., Lee, Seunggeun, Kang, Hyun Min, Abecasis, Goncalo R., Romundstad, Solfrid, Hallan, Stein, Sampson, Matthew G., Hveem, Kristian, and Willer, Cristen J.

Published
2019
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28. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Diabetes Mellitus, and Hypertension With Acute Kidney Injury

Author

Tonelli, Marcello, Hemmelgarn, Brenda R., James, Matthew T., Turin, Tanvir Chowdhury, Coresh, Josef, Matsushita, Kunihiro, Grams, Morgan, Sang, Yingying, Shlipak, Michael, Sarnak, Mark J., Katz, Ronit, Wheeler, David C., Emberson, Jonathan, Landray, Martin J., Townend, Jonathan N., Green, Jamie, Kirchner, H. Les, Perkins, Robert, Chang, Alex R., Romundstad, Solfrid, Aasarød, Knut, Øien, Cecilia M., Hallan, Stein, Smith, David H., Thorp, Micah L., Johnson, Eric S., Chodick, Gabriel, Herzel, Esma, Katz, Rachel, Shalev, Varda, Gansevoort, Ron T., Bakker, Stephan J.L., Lambers Heerspink, Hiddo J., van der Harst, Pim, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Tangri, Navdeep, Naimark, David, Ärnlöv, Johan, Larsson, Anders, Lannfelt, Lars, Kovesdy, Csaba P., Kalantar-Zadeh, Kamyar, de Jong, Paul E., Iseki, Kunitoshi, Levey, Andrew S., Stengel, Benedicte, Warnock, David, Woodward, Mark, Ballew, Shoshana H., Grams, Morgan E., Elley, C. Raina, Green, Jamie A., de Jong, Paul, and Warnock, David G.

Published
2015
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29. A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury

Author

Tonelli, Marcello, Hemmelgarn, Brenda R., James, Matthew T., Turin, Tanvir Chowdhury, Coresh, Josef, Matsushita, Kunihiro, Grams, Morgan, Sang, Yingying, Shlipak, Michael, Sarnak, Mark J., Katz, Ronit, Wheeler, David C., Emberson, Jonathan, Landray, Martin J., Townend, Jonathan N., Green, Jamie, Kirchner, H. Les, Perkins, Robert, Chang, Alex R., Romundstad, Solfrid, Aasarød, Knut, Øien, Cecilia M., Hallan, Stein, Smith, David H., Thorp, Micah L., Johnson, Eric S., Chodick, Gabriel, Herzel, Esma, Katz, Rachel, Shalev, Varda, Gansevoort, Ron T., Bakker, Stephan J.L., Lambers Heerspink, Hiddo J., van der Harst, Pim, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Tangri, Navdeep, Naimark, David, Ärnlöv, Johan, Larsson, Anders, Lannfelt, Lars, Kovesdy, Csaba P., Kalantar-Zadeh, Kamyar, de Jong, Paul E., Iseki, Kunitoshi, Levey, Andrew S., Stengel, Benedicte, Warnock, David, Woodward, Mark, Ballew, Shoshana H., Grams, Morgan E., and Oien, Cecilia

Published
2015
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30. Markers of Kidney Tubular Secretion and Risk of Adverse Events in SPRINT Participants with CKD

Author

Bullen, Alexander L., primary, Ascher, Simon B., additional, Scherzer, Rebecca, additional, Garimella, Pranav S., additional, Katz, Ronit, additional, Hallan, Stein I., additional, Cheung, Alfred K., additional, Raphael, Kalani L., additional, Estrella, Michelle M., additional, Jotwani, Vasantha K., additional, Malhotra, Rakesh, additional, Seegmiller, Jesse C., additional, Shlipak, Michael G., additional, and Ix, Joachim H., additional

Published
2022
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34. Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease

Author

Zheng, Jie, primary, Zhang, Yuemiao, additional, Rasheed, Humaira, additional, Walker, Venexia, additional, Sugawara, Yuka, additional, Li, Jiachen, additional, Leng, Yue, additional, Elsworth, Benjamin, additional, Wootton, Robyn E, additional, Fang, Si, additional, Yang, Qian, additional, Burgess, Stephen, additional, Haycock, Philip C, additional, Borges, Maria Carolina, additional, Cho, Yoonsu, additional, Carnegie, Rebecca, additional, Howell, Amy, additional, Robinson, Jamie, additional, Thomas, Laurent F, additional, Brumpton, Ben Michael, additional, Hveem, Kristian, additional, Hallan, Stein, additional, Franceschini, Nora, additional, Morris, Andrew P, additional, Köttgen, Anna, additional, Pattaro, Cristian, additional, Wuttke, Matthias, additional, Yamamoto, Masayuki, additional, Kashihara, Naoki, additional, Akiyama, Masato, additional, Kanai, Masahiro, additional, Matsuda, Koichi, additional, Kamatani, Yoichiro, additional, Okada, Yukinori, additional, Walters, Robin, additional, Millwood, Iona Y, additional, Chen, Zhengming, additional, Davey Smith, George, additional, Barbour, Sean, additional, Yu, Canqing, additional, Åsvold, Bjørn Olav, additional, Zhang, Hong, additional, and Gaunt, Tom R, additional

Published
2021
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36. Methodology used in studies reporting chronic kidney disease prevalence: a systematic literature review

Author

Brück, Katharina, Jager, Kitty J., Dounousi, Evangelia, Kainz, Alexander, Nitsch, Dorothea, Ärnlöv, Johan, Rothenbacher, Dietrich, Browne, Gemma, Capuano, Vincenzo, Ferraro, Pietro Manuel, Ferrieres, Jean, Gambaro, Giovanni, Guessous, Idris, Hallan, Stein, Kastarinen, Mika, Navis, Gerjan, Gonzalez, Alfonso Otero, Palmieri, Luigi, Romundstad, Solfrid, Spoto, Belinda, Stengel, Benedicte, Tomson, Charles, Tripepi, Giovanni, Völzke, Henry, Wie[COMBINING CEDILLA]cek, Andrzej, Gansevoort, Ron, Schöttker, Ben, Wanner, Christoph, Vinhas, Jose, Zoccali, Carmine, Van Biesen, Wim, Stel, Vianda S., Jousilahti, Pekka, Helmer, Catherine, Metzger, Marie, Ruidavets, Jean Bernard, Bongard, Vanina, Koenig, Wolfgang, Denkinger, Michael D., Brenner, Hermann, Saum, Kai-Uwe, Nauck, Matthias, Stracke, Sylvia, Perry, Ivan, Eustace, Joseph, Lupo, Antonio, Donfrancesco, Chiara, Palleschi, Simonetta, Lamaida, Norman, Capuano, Ernesto, Sinkeler, Steef, Wolffenbuttel, B.H.R., Bakker, Stephan J.L., Aasarød, Knut, Holmen, Jostein, Chudek, Jerzy, Malgorzata, Mossakowska, Gardete-Correia, Luis, Raposo, João F., de Francisco, A.L. Martin, Gayoso Diz, P., Nerpin, Elisabet, Lind, Lars, Bochud, Murielle, Gaspoz, Jean-Michel, Fletcher, Astrid, Roderick, Paul, Van Pottelbergh, Gijs, Van Der Tol, Arjan, Hadjadj, Samy, and Stojceva-Taneva, Olivera

Published
2015
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38. The causal effects of serum lipids and apolipoproteins on kidney function: multivariable and bidirectional Mendelian-randomization analyses

Author

Rasheed, Humaira, primary, Zheng, Jie, additional, Rees, Jessica, additional, Sanderson, Eleanor, additional, Thomas, Laurent, additional, Richardson, Tom G, additional, Fang, Si, additional, Bekkevold, Ole-Jørgen, additional, Stovner, Endre Bakken, additional, Gabrielsen, Maiken Elvestad, additional, Skogholt, Anne Heidi, additional, Romundstad, Solfrid, additional, Brumpton, Ben, additional, Hallan, Stein, additional, Willer, Cristen, additional, Burgess, Stephen, additional, Hveem, Kristian, additional, Davey Smith, George, additional, Gaunt, Tom R, additional, and Åsvold, Bjørn Olav, additional

Published
2021
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39. Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals

Author

Stanzick, Kira J., Li, Yong, Schlosser, Pascal, Gorski, Mathias, Wuttke, Matthias, Thomas, Laurent F., Rasheed, Humaira, Rowan, Bryce X., Graham, Sarah E., Vanderweff, Brett R., Patil, Snehal B., Robinson-Cohen, Cassianne, Gaziano, John M., O’Donnell, Christopher J., Willer, Cristen J., Hallan, Stein, Åsvold, Bjørn Olav, Gessner, Andre, Hung, Adriana M., Pattaro, Cristian, Köttgen, Anna, Stark, Klaus J., Heid, Iris M., and Winkler, Thomas W.

Subjects
610 Medizin
Abstract

Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci (424 loci, 201 novel; 9.8% eGFRcrea variance explained by 634 independent signal variants). Our increased sample size in fine-mapping (n = 1,004,040, European) more than doubles the number of signals with resolved fine-mapping (99% credible sets down to 1 variant for 44 signals, ≤5 variants for 138 signals). Cystatin-based eGFR and/or blood urea nitrogen association support 348 loci (n = 460,826 and 852,678, respectively). Our customizable tool for Gene PrioritiSation reveals 23 compelling genes including mechanistic insights and enables navigation through genes and variants likely relevant for kidney function in human to help select targets for experimental follow-up.

Published
2021
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42. Increased risk of ischaemic heart disease after kidney donation

Author

Haugen, Anders J, primary, Hallan, Stein, additional, Langberg, Nina E, additional, Dahle, Dag Olav, additional, Pihlstrøm, Hege, additional, Birkeland, Kåre I, additional, Reisæter, Anna V, additional, Midtvedt, Karsten, additional, Hartmann, Anders, additional, Holdaas, Hallvard, additional, and Mjøen, Geir, additional

Published
2021
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46. Increased risk of ischaemic heart disease after kidney donation.

Author

Haugen, Anders J, Hallan, Stein, Langberg, Nina E, Dahle, Dag Olav, Pihlstrøm, Hege, Birkeland, Kåre I, Reisæter, Anna V, Midtvedt, Karsten, Hartmann, Anders, Holdaas, Hallvard, and Mjøen, Geir

Subjects
*CEREBROVASCULAR disease, *HEART diseases, *SYSTOLIC blood pressure, *KIDNEY diseases, *RENAL cancer, *BODY mass index
Abstract

Background Previous reports suggest increased risk of hypertension and cardiovascular mortality after kidney donation. In this study we investigate the occurrence of ischaemic heart disease and cerebrovascular disease, diabetes and cancer in live kidney donors compared with healthy controls eligible for donation. Methods Different diagnoses were assessed in 1029 kidney donors and 16 084 controls. The diagnoses at follow-up were self-reported for the controls and registered by a physician for the donors. Stratified logistic regression was used to estimate associations with various disease outcomes, adjusted for gender, age at follow-up, smoking at baseline, body mass index at baseline, systolic blood pressure at baseline and time since the donation. Results The mean observation time was 11.3 years [standard deviation (SD) 8.1] for donors versus 16.4 years (SD 5.7) for controls. The age at follow-up was 56.1 years (SD 12.4) in donors versus 53.5 years (SD 11.1) in controls and 44% of donors were males versus 39.3% in the controls. At follow-up, 35 (3.5%) of the donors had been diagnosed with ischaemic heart disease versus 267 (1.7%) of the controls. The adjusted odds ratio for ischaemic heart disease was 1.64 (confidence interval 1.10–2.43; P = 0.01) in donors compared with controls. There were no significant differences for the risks of cerebrovascular disease, diabetes or cancer. Conclusions During long-term follow-up of kidney donors, we found an increased risk of ischaemic heart disease compared with healthy controls. This information may be important in the follow-up and selection process of living kidney donors. [ABSTRACT FROM AUTHOR]

Published
2022
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50. CUBN Is a Gene Locus for Albuminuria

Author

Böger, Carsten A., Chen, Ming-Huei, Tin, Adrienne, Olden, Matthias, Köttgen, Anna, de Boer, Ian H., Fuchsberger, Christian, OʼSeaghdha, Conall M., Pattaro, Cristian, Teumer, Alexander, Liu, Ching-Ti, Glazer, Nicole L., Li, Man, OʼConnell, Jeffrey R., Tanaka, Toshiko, Peralta, Carmen A., Kutalik, Zoltán, Luan, Jianʼan, Zhao, Jing Hua, Hwang, Shih-Jen, Akylbekova, Ermeg, Kramer, Holly, van der Harst, Pim, Smith, Albert V., Lohman, Kurt, de Andrade, Mariza, Hayward, Caroline, Kollerits, Barbara, Tönjes, Anke, Aspelund, Thor, Ingelsson, Erik, Eiriksdottir, Gudny, Launer, Lenore J., Harris, Tamara B., Shuldiner, Alan R., Mitchell, Braxton D., Arking, Dan E., Franceschini, Nora, Boerwinkle, Eric, Egan, Josephine, Hernandez, Dena, Reilly, Muredach, Townsend, Raymond R., Lumley, Thomas, Siscovick, David S., Psaty, Bruce M., Kestenbaum, Bryan, Haritunians, Talin, Bergmann, Sven, Vollenweider, Peter, Waeber, Gerard, Mooser, Vincent, Waterworth, Dawn, Johnson, Andrew D., Florez, Jose C., Meigs, James B., Lu, Xiaoning, Turner, Stephen T., Atkinson, Elizabeth J., Leak, Tennille S., Aasarød, Knut, Skorpen, Frank, Syvänen, Ann-Christine, Illig, Thomas, Baumert, Jens, Koenig, Wolfgang, Krämer, Bernhard K., Devuyst, Olivier, Mychaleckyj, Josyf C., Minelli, Cosetta, Bakker, Stephan J.L., Kedenko, Lyudmyla, Paulweber, Bernhard, Coassin, Stefan, Endlich, Karlhans, Kroemer, Heyo K., Biffar, Reiner, Stracke, Sylvia, Völzke, Henry, Stumvoll, Michael, Mägi, Reedik, Campbell, Harry, Vitart, Veronique, Hastie, Nicholas D., Gudnason, Vilmundur, Kardia, Sharon L.R., Liu, Yongmei, Polasek, Ozren, Curhan, Gary, Kronenberg, Florian, Prokopenko, Inga, Rudan, Igor, Ärnlöv, Johan, Hallan, Stein, Navis, Gerjan, Parsa, Afshin, Ferrucci, Luigi, Coresh, Josef, Shlipak, Michael G., Bull, Shelley B., Paterson, Andrew D., Wichmann, H.-Erich, Wareham, Nicholas J., Loos, Ruth J.F., Rotter, Jerome I., Pramstaller, Peter P., Cupples, L. Adrienne, Beckmann, Jacques S., Yang, Qiong, Heid, Iris M., Rettig, Rainer, Dreisbach, Albert W., Bochud, Murielle, Fox, Caroline S., and Kao, W.H.L.

Published
2011
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