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Chronic Renal Insufficiency Cohort (CRIC) Study: Baseline Characteristics and Associations with Kidney Function
Open accessAbstract
BACKGROUND AND OBJECTIVES: The Chronic Renal Insufficiency Cohort (CRIC) Study was established to examine risk factors for the progression of chronic kidney disease (CKD) and cardiovascular disease (CVD) in patients with CKD. We examined baseline demographic and clinical characteristics. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Seven clinical centers recruited adults who were aged 21 to 74 yr and had CKD using age-based estimated GFR (eGFR) inclusion criteria. At baseline, blood and urine specimens were collected and information regarding health behaviors, diet, quality of life, and functional status was obtained. GFR was measured using radiolabeled iothalamate in one third of participants. RESULTS: A total of 3612 participants were enrolled with mean age +/- SD of 58.2 +/- 11.0 yr; 46% were women, and 47% had diabetes. Overall, 45% were non-Hispanic white, 46% were non-Hispanic black, and 5% were Hispanic. Eighty-six percent reported hypertension, 22% coronary disease, and 10% heart failure. Mean body mass index was 32.1 +/- 7.9 kg/m(2), and 47% had a BP >130/80 mmHg. Mean eGFR was 43.4 +/- 13.5 ml/min per 1.73 m(2), and median (interquartile range) protein excretion was 0.17 g/24 h (0.07 to 0.81 g/24 h). Lower eGFR was associated with older age, lower socioeconomic and educational level, cigarette smoking, self-reported CVD, peripheral arterial disease, and elevated BP. CONCLUSIONS: Lower level of eGFR was associated with a greater burden of CVD as well as lower socioeconomic and educational status. Long-term follow-up of participants will provide critical insights into the epidemiology of CKD and its relationship to adverse outcomes.
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“Difficulty controlling BP in late stages of CKD was also seen in CRIC (Chronic Renal Insufficiency Cohort), in which 88% of participants had stage 3 or 4 CKD.”
From Resistant Hypertension: Detection, Evaluation, and Management: A Scientific Statement From the American Heart Association (2018) · cites this paper as [302]
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“During a median (range) of 7 (1-12) years of follow-up, the mean (SD) eGFR slope was −1.”
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MethodSelf-citationFibroblast Growth Factor 23 and Anemia in the Chronic Renal Insufficiency Cohort Study
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Self-citationLipids, Apolipoproteins, and Risk of Atherosclerotic Cardiovascular Disease in Persons With CKD
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“(mg/24 h) 69 [11-606] 27 [7-147] 33 [8-241] 61 [9-459] 124 [15-960] 646 [50-2,785] ,0.”
Self-citationAssociation of Cardiac Troponin T With Left Ventricular Structure and Function in CKD
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MethodSelf-citationRisk Factors for Peripheral Arterial Disease Among Patients With Chronic Kidney Disease
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Arterial stiffness and chronic kidney disease
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Self-citationGenome-Wide Association of CKD Progression: The Chronic Renal Insufficiency Cohort Study
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Self-citationSerum Calcification Propensity and Clinical Events in CKD
Bundy, J. D., Cai, X., Mehta, R. C., Scialla, J. J., de Boer, I. H., Hsu, C., Go, A. S., Dobre, M. A., Chen, J., Rao, P. S., et al. (2019) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.04710419 · Cited by 68
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“GFR strata than other similar published cohort studies such as CRIC and CRIB [41,42].”
BackgroundMethodResultInfluentialDiagnostic Value of Screening Instruments for Identifying Obstructive Sleep Apnea in Kidney Failure
Nicholl, D. D. M., Ahmed, S. B., Loewen, A. H. S., Hemmelgarn, B. R., Sola, D. Y., Beecroft, J. M., Turin, T. C., & Hanly, P. J. (2013) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2334 · Cited by 68
“RDI ≥ 30 Sensitivity, % 88 96 72 40 100 88 Specificity, % 32 32 68 87 29 48 PPV, % 28 30 40 48 29 33 NPV, % 90 96 89 83 100 93 Accuracy, % 45 47 69 76 45 57 AUC, % (95% CI) 60 (48-72) 64 (53-75) 70 (58-82) 64 (50-77) 64 (54-75) 68 (57-79)”
Fisher, H., Hsu, C., Vittinghoff, E., Lin, F., & Bansal, N. (2013) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2013.07.013 · Cited by 68
“Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States.”
BackgroundInfluentialBlood Pressure and Risk of Cardiovascular Events in Patients on Chronic Hemodialysis
Bansal, N., McCulloch, C. E., Lin, F., Alper, A., Anderson, A. H., Cuevas, M., Go, A. S., Kallem, R. R., Kusek, J. W., Lora, C. M., et al. (2017) · Hypertension · doi:10.1161/hypertensionaha.117.09091 · Cited by 71
Self-citationMelatonin, mitochondria and hypertension
Baltatu, O. C., do Amaral, F. G., Campos, L. A., & Cipolla‐Neto, J. (2017) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2613-y · Cited by 70
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“Also, as described in previous work, CKD increases cardiovascular risk [3, 4] and leads to loss of quality of life in terms of health [5–9].”
BackgroundSubtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study
Zheng, Z., Waikar, S. S., Schmidt, I. M., Landis, J. R., Hsu, C., Shafi, T., Feldman, H. I., Anderson, A. H., Wilson, F. P., Chen, J., et al. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2020030239 · Cited by 66
Self-citationProteomics of CKD progression in the chronic renal insufficiency cohort
Dubin, R. F., Deo, R., Ren, Y., Wang, J., Zheng, Z., Shou, H., Go, A. S., Parsa, A., Lash, J. P., Rahman, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41642-7 · Cited by 70
Self-citationSex differences in chronic kidney disease awareness among US adults, 1999 to 2018
Hödlmoser, S., Winkelmayer, W. C., Zee, J., Pecoits‐Filho, R., Pisoni, R. L., Port, F. K., Robinson, B. M., Ristl, R., Krenn, S., Kurnikowski, A., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243431 · Cited by 63
“Women might be referred to nephrologists less frequently than men, as men have been shown to predominate in several CKD cohorts, such as from the US [42], Canada [43], Japan [44], Germany [45], China [46] and France [47].”
BackgroundMetabolite profiling of CKD progression in the chronic renal insufficiency cohort study
Wen, D., Zheng, Z., Surapaneni, A., Yu, B., Zhou, L., Zhou, W., Xie, D., Shou, H., Ávila-Pacheco, J., Kalim, S., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.161696 · Cited by 59
“The opinions presented in this paper do not necessarily reflect those of the NIDDK, the NIH, the Department of Health and Human Services, or the government of the United States.”
MethodInfluentialSelf-citationFischer, M. J., Xie, D., Jordan, N., Kop, W. J., Krousel-Wood, M. A., Tamura, M. K., Kusek, J. W., Ford, V., Rosen, L. K., Strauss, L., et al. (2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2011.12.033 · Cited by 63
“The Chronic Renal Insufficiency Cohort (CRIC) Study and its ancillary study, the HispanicCRIC (H-CRIC) Study, are prospective observational studies designed to examine risk factors for the progression of CKD and the development and worsening of cardiovascular disease among adults with CKD (18-20).”
BackgroundMethodSelf-citationOxidative Balance Score and the Risk of End-Stage Renal Disease and Cardiovascular Disease
Ilori, T. O., Wang, X., Huang, M., Gutiérrez, O. M., Narayan, K. M. V., Goodman, M. M., McClellan, W., Plantinga, L., & OJO, A. O. (2017) · American Journal of Nephrology · doi:10.1159/000464257 · Cited by 61
Self-citationSex Differences in Cardiovascular Outcomes in CKD: Findings From the CRIC Study
Toth‐Manikowski, S. M., Yang, W. P., Appel, L. J., Chen, J., Deo, R., Frydrych, A., Krousel-Wood, M. A., Rahman, M., Rosas, S. E., Sha, D., et al. (2021) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2021.01.020 · Cited by 63
Self-citation(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.67 · Cited by 62
Inflammation and Arterial Stiffness in Chronic Kidney Disease: Findings From the CRIC Study
Peyster, E. G., Chen, J., Feldman, H. I., Go, A. S., Gupta, J., Mitra, N., Pan‐Hammarström, Q., Porter, A. C., Rahman, M., Raj, D. S., et al. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpw164 · Cited by 60
Self-citationHarhay, M. N., Xie, D., Zhang, X., Hsu, C., Vittinghoff, E., Go, A. S., Sozio, S. M., Blumenthal, J. B., Seliger, S. L., Chen, J., et al. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.02.361 · Cited by 61
Self-citationBioelectrical Impedance Analysis Measures and Clinical Outcomes in CKD
Bansal, N., Zelnick, L. R., Himmelfarb, J., & Chertow, G. M. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.03.030 · Cited by 64
Picard, K., Silva, M. I. B., Mager, D. R., & Richard, C. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa027 · Cited by 59
“Baseline Chronic Renal Insufficiency Cohort (CRIC) participant characteristics were reported as including 18% stage 4, 70% stage 3, and 11% stage 2 CKD patients (31).”
BackgroundVerma, A., Schmidt, I. M., Claudel, S. E., Pálsson, R., Waikar, S. S., & Srivastava, A. (2024) · Annals of Internal Medicine · doi:10.7326/m23-2814 · Cited by 59
Human Heredity and Health (H3) in Africa Kidney Disease Research Network
Osafo, C., Raji, Y. R., Burke, D., Tayo, B. O., Tiffin, N., Moxey‐Mims, M., Rasooly, R. S., Kimmel, P. L., OJO, A. O., Adu, D., et al. (2015) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11951214 · Cited by 59
Self-citationDienemann, T., Fujii, N., Orlandi, P., Nessel, L. A., Furth, S. L., Hoy, W. E., Matsuo, S., Mayer, G. J., Methven, S., Schaefer, F. S., et al. (2016) · BMC Nephrology · doi:10.1186/s12882-016-0335-2 · Cited by 58
“Among these, the CRIC study, however, only includes adult patients.”
BackgroundInfluentialSelf-citationInflammatory Markers and Risk for Cognitive Decline in Chronic Kidney Disease: The CRIC Study
Tamura, M. K., Tam, K., Vittinghoff, E., Raj, D. S., Sozio, S. M., Rosas, S. E., Makos, G. K., Lora, C. M., He, J., Go, A. S., et al. (2016) · Kidney International Reports · doi:10.1016/j.ekir.2016.10.007 · Cited by 58
“The CRIC Study is a prospective observational cohort study designed to evaluate risk factors for progression of CKD. 17,18 From June 2003 through May 2008, we recruited 3939 persons aged 21 to 74 years from 7 clinical centers across the United States.”
Self-citationScialla, J. J., Asplin, J. R., Dobre, M. A., Chang, A. R., Lash, J. P., Hsu, C., Kallem, R. R., Hamm, L. L., Feldman, H. I., Chen, J., et al. (2016) · Kidney International · doi:10.1016/j.kint.2016.09.012 · Cited by 58
“73 m(2), and a population including 43% females and 41% non-Hispanic whites, with 51% of participants with diabetes.(25) The mean SD net acid excretion was 33 18 mEq/day (Supplementary Figure S1).”
Self-citationGlycolytic lactate in diabetic kidney disease
Darshi, M., Kugathasan, L., Maity, S., Sridhar, V. S., Fernandez, R. A., Limonte, C. P., Grajeda, B. I., Saliba, A., Zhang, G., Drel, V. R., et al. (2024) · JCI Insight · doi:10.1172/jci.insight.168825 · Cited by 61
“Intracellular lactate was measured in the lysate of the kidney sections incubated with or without MCT inhibitor or kidney cortex and medulla according to”
Self-citationCKD Progression and Mortality among Hispanics and Non-Hispanics
Fischer, M. J., Hsu, J. Y., Lora, C. M., Ricardo, A. C., Anderson, A. H., Bazzano, L., Cuevas, M., Hsu, C., Kusek, J. W., Renteria, A., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015050570 · Cited by 57
Self-citationStatistical Methods for Modeling Time-Updated Exposures in Cohort Studies of Chronic Kidney Disease
Xie, D., Yang, W. P., Jepson, C., Roy, J. A., Hsu, J. Y., Shou, H., Anderson, A. H., Landis, J. R., Feldman, H. I., & on behalf of the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators (2017) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00650117 · Cited by 57
Self-citationLung Dysfunction and Chronic Kidney Disease: A Complex Network of Multiple Interactions
Gembillo, G., Calimeri, S., Tranchida, V., Silipigni, S., Vella, D., Ferrara, D., Spinella, C., Santoro, D., & Visconti, L. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020286 · Cited by 65
“About 21% of 2959 patients with CKD (without dialysis) had PH, the presence of which correlated with an increased risk of cardiovascular events and mortality [44].”
BackgroundShah, R. D., Matthews, G. J., Shah, R. Y., McLaughlin, C., Chen, J., Wolman, M., Master, S. R., Chai, B., Xie, D., Rader, D. J., et al. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.01.021 · Cited by 55
“The design of this cohort study and baseline characteristics of participants have been reported.(11) Briefly, 3,939 individuals were recruited at 7 US sites and followed up annually for an average of 6 years.”
Self-citationOxidative Balance Score and Chronic Kidney Disease
Ilori, T. O., Ro, Y. S., Kong, S. Y., Gutiérrez, O. M., OJO, A. O., Judd, S. E., Narayan, K. M. V., Goodman, M. M., Plantinga, L., & McClellan, W. (2015) · American Journal of Nephrology · doi:10.1159/000441623 · Cited by 54
Self-citationLiu, J., Ching, J., Wee, H. N., Liu, S., Gurung, R. L., Lee, J., Yiamunaa, M., Zheng, H., Lee, L. S., Ang, K., et al. (2023) · Diabetes Care · doi:10.2337/dc23-1147 · Cited by 59
Lee, H., Kwon, S. H., Jeon, J. S., Noh, H., Han, D. C., & Kim, H. (2021) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.21.099 · Cited by 62
“Furthermore, the incidence of HTN is directly proportional to a decline in renal function [5,6]; thus, early detection and proper management of HTN is needed to reduce the risk of CKD and”
BackgroundProteomic cardiovascular risk assessment in chronic kidney disease
Deo, R., Dubin, R. F., Ren, Y., Murthy, A. C., Wang, J., Zheng, H., Zheng, Z., Feldman, H. I., Shou, H., Coresh, J., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad115 · Cited by 57
Self-citationJepson, C., Hsu, J. Y., Fischer, M. J., Kusek, J. W., Lash, J. P., Ricardo, A. C., Schelling, J. R., Feldman, H. I., Appel, L. J., Feldman, H. I., et al. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.06.017 · Cited by 53
Self-citationKu, E., McCulloch, C. E., Vittinghoff, E., Lin, F., & Johansen, K. L. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009992 · Cited by 53
Slowing progression of chronic kidney disease
Drawz, P. E., & Rosenberg, M. E. (2013) · Kidney International Supplements · doi:10.1038/kisup.2013.80 · Cited by 51
Clinical Presentation of Obstructive Sleep Apnea in Patients with Chronic Kidney Disease
Nicholl, D. D. M., Ahmed, S. B., Loewen, A. H. S., Hemmelgarn, B. R., Sola, D. Y., Beecroft, J. M., Turin, T. C., & Hanly, P. J. (2012) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2028 · Cited by 53
“29 The lack of excessive daytime sleepiness in a significant pro - portion of OSA patients with CKD has been reported in other specific OSA populations, including those with stroke, 30 heart failure, 31 hypertension, 32,33 and end-stage renal disease.”
the CRIC Study Investigators, Orlandi, P., Fujii, N., Roy, J. A., Chen, H., Hamm, L. L., Sondheimer, J., He, J., Fischer, M. J., Rincon-Choles, H., et al. (2018) · BMC Nephrology · doi:10.1186/s12882-018-0951-0 · Cited by 53
“Details of the CRIC Study design and methods were published previously [14, 15].”
MethodSelf-citationCardiac and Stress Biomarkers and Chronic Kidney Disease Progression: the CRIC study
Bansal, N., Zelnick, L. R., Shlipak, M., Anderson, A. H., Christenson, R., Deo, R., Defilippi, C., Feldman, H., Lash, J., He, J., et al. (2019) · Clinical Chemistry · doi:10.1373/clinchem.2019.305797 · Cited by 50
“History of atrial fibrillation 89 (12) 104 (14) 114 (16) 148 (20) 154 (21)”
Self-citationOzieh, M., Garacci, E., Walker, R., Palatnik, A., & Egede, L. (2021) · BMC Nephrology · doi:10.1186/s12882-021-02277-2 · Cited by 47
“For instance, studies show that socioeconomic status, specifically poverty, is associated with CKD risk factors [13–15], CKD [16], CKD progression [17], incident end stage renal disease (ESRD) [18–20] and mortality [21].”
BackgroundInfluence of Nephrologist Care on Management and Outcomes in Adults with Chronic Kidney Disease
on behalf of the CRIC Study Investigators, Ricardo, A. C., Roy, J. A., Tao, K., Alper, A., Chen, J., Drawz, P. E., Fink, J. C., Hsu, C., Kusek, J. W., et al. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3452-x · Cited by 51
Self-citationGrunwald, J. E., Ying, G.-S., Maguire, M. G., Pistilli, M., Daniel, E., Alexander, J., Martin, R., Parker, C., Mohler, E. R., Lo, J. C.-M., et al. (2012) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2012.03.014 · Cited by 51
Self-citationChange in Measured GFR Versus eGFR and CKD Outcomes
Ku, E., Xie, D., Shlipak, M. G., Anderson, A. H., Chen, J., Go, A. S., He, J., Horwitz, E. J., Rahman, M., Ricardo, A. C., et al. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015040341 · Cited by 53
Self-citationEirin, A., & Lerman, L. O. (2021) · Hypertension · doi:10.1161/hypertensionaha.121.14596 · Cited by 51
FGF23 Modifies the Relationship Between Vitamin D and Cardiac Remodeling
Ky, B., Justine Shults, A., Keane, M. G., Sutton, M. S. J., Wolf, M. S., Feldman, H. I., Reese, P. P., Anderson, C. A. M., Townsend, R. R., Deo, R., et al. (2013) · Circulation Heart Failure · doi:10.1161/circheartfailure.112.000105 · Cited by 54
Self-citationHe, J., Reilly, M. P., Yang, W. P., Chen, J., Go, A. S., Lash, J. P., Rahman, M., deFilippi, C. R., Gadegbeku, C. A., Kanthety, R., et al. (2012) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2012.07.044 · Cited by 49
Self-citationBansal, N., Roy, J. A., Chen, H., Deo, R., Dobre, M. A., Fischer, M. J., Foster, E., Go, A. S., He, J., Keane, M. G., et al. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.02.363 · Cited by 50
Self-citationSmoking as risk factor for chronic kidney disease: systematic review
Júnior, U. F. E., Elihimas, H. C. D. S., Lemos, V. M., Leão, M. D. A., Sá, M. P., França, E., Lemos, A., Valente, L. M., & Filho, B. M. (2014) · Brazilian Journal of Nephrology · doi:10.5935/0101-2800.20140074 · Cited by 49
Mehta, N. N., Matthews, G. J., Krishnamoorthy, P. M., Shah, R. D., McLaughlin, C., Patel, P., Budoff, M. J., Chen, J., Wolman, M. A., Go, A. S., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht481 · Cited by 50
“The baseline characteristics of the CRIC cohort have been reported.(19) Briefly, the CRIC study recruited 3939 individuals between 2003 and 2008 and the cohort has been followed with annual in-person visits since recruitment.”
MethodSelf-citationThe Risk for Medial Arterial Calcification in CKD
Hassan, N., D’Orsi, E. T., D’Orsi, C. J., & O'Neill, W. C. (2011) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.06490711 · Cited by 49
Amir, S., Kim, H., Hu, E. A., Ricardo, A. C., Mills, K. T., He, J., Fischer, M. J., Pradhan, N., Tan, T. C., Navaneethan, S. D., et al. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2023.09.020 · Cited by 50
Self-citationCandidate Gene Association Study of Coronary Artery Calcification in Chronic Kidney Disease
Ferguson, J. F., Matthews, G. J., Townsend, R. R., Raj, D. S., Kanetsky, P. A., Budoff, M. J., Fischer, M. J., Rosas, S. E., Kanthety, R., Rahman, M., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.01.103 · Cited by 48
“73 m(2)) were enrolled from 7 clinical centers in the United States between 2003 and 2006 (14,15).”
Self-citationFotheringham, J., Weatherley, N., Kawar, B., Fogarty, D. G., & Ellam, T. (2014) · Kidney International · doi:10.1038/ki.2014.112 · Cited by 47
Central Pulse Pressure in Chronic Kidney Disease
Townsend, R. R., Chirinos, J. A., Parsa, A., Weir, M. A., Sozio, S. M., Lash, J. P., Chen, J., Steigerwalt, S. P., Go, A. S., Hsu, C., et al. (2010) · Hypertension · doi:10.1161/hypertensionaha.110.153924 · Cited by 47
Self-citationHannan, M. F., Chen, J., Hsu, J. Y., Zhang, X., Saunders, M. R., Brown, J. J., McAdams‐DeMarco, M., Mohanty, M. J., Vyas, R., Hajjiri, Z., et al. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2023.06.009 · Cited by 46
Self-citationCurrent and emerging treatment options for the elderly patient with chronic kidney disease
Fassett, R. G. (2014) · Clinical Interventions in Aging · doi:10.2147/cia.s39763 · Cited by 48
“20,24 Of participants aged .”
Cardiorenal Syndrome and the Role of the Bone-Mineral Axis and Anemia
Charytan, D. M., Fishbane, S. N., Małyszko, J., McCullough, P. A., & Goldsmith, D. J. A. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.12.016 · Cited by 46
A translational model of chronic kidney disease in swine
Chade, A., Williams, M. L., Engel, J. E., Guise, E., & Harvey, T. W. (2018) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00063.2018 · Cited by 46
“In a recent study on 3,612 adults with CKD (majority at moderate stage), the prevalence of hypertension was 86% compared with 30% observed in the general population (31).”
ResultKobayashi, M., Pitt, B., Ferreira, J. P., Rossignol, P., Girerd, N., & Zannad, F. M. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf225 · Cited by 51
“25 Overall, the risk of developing ESKD was assessed over a ∼ 5-year follow-up period between patients with TRH and non-TRH, and the risk was ∼ two-fold higher in those with TRH vs non-TRH.”
InfluentialStringer, S. J., Sharma, P., Dutton, M., Jesky, M., Ng, K. P., Kaur, O., Chapple, I., Dietrich, T., Ferro, C. J., & Cockwell, P. (2013) · BMC Nephrology · doi:10.1186/1471-2369-14-95 · Cited by 47
“Chronic Renal Insufficiency Cohort (CRIC) [34,35] Secondary care, all CKD stages 2003 3612 (still recruiting)”
Metadata
- Authors
- Lash, J. P., Go, A. S., Appel, L. J., He, J., Ojo, A., Rahman, M., Townsend, R. R., Xie, D., Cifelli, D., Cohan, J., Fink, J. C., Fischer, M. J., Gadegbeku, C., Hamm, L. L., Kusek, J. W., Landis, J. R., Narva, A., Robinson, N., Teal, V., & Feldman, H. I.
- Affiliations
- University of Illinois Chicago (US)
- Kaiser Permanente (US)
- Johns Hopkins University (US)
- Tulane University (US)
- University of Michigan (US)
- University of Maryland, Baltimore (US)
- Edward Hines, Jr. VA Hospital (US)
- National Institutes of Health (US)
- Corresponding author
- Lash, James P.
- Rahman, Mahboob
- Cohan, Janet
- Fischer, Michael J.
- Kusek, John W.
- Narva, Andrew
- ORCID
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2009-08
- Volume
- 4
- Issue
- 8
- Pages
- 1302-1311
- ISSN
- 1555-9041 (ISSN-L)
- PMC
- PMC2723966
- OpenAlex
- W2160134719
- Cited by
- 619
- References
- 52
- Citations by year
- 2026: 37 · 2025: 36 · 2024: 42 · 2023: 40 · 2022: 58 · 2021: 52 · 2020: 51 · 2019: 39 · 2018: 34 · 2017: 32 · 2016: 48 · 2015: 34 · 2014: 27 · 2013: 37 · 2012: 23
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Journal of the American Society of Nephrology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5k24dk002651-10)
- University of Illinois at Urbana-Champaign
- National Institute of Diabetes and Digestive and Kidney Diseases (5U01DK06102, 5K24DK002651, R01DK072231, K24-DK002651, U01DK060990, 5U01 DK60980, T32DK060455, U01DK060984, U01DK060902, U01DK060980, U01DK060963, U01DK061021, U01DK061028)
- National Center for Research Resources (UL1RR024131, RR-05096, UL1RR024989, UL1RR025005, M01RR013987, M01RR016500, M01RR-013987-06, UL1RR024986, M01RR005096, M01 RR-024986, M01RR 16500, M01RR000042)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- chronic kidney disease, estimated glomerular filtration rate, cardiovascular disease, chronic kidney disease progression, risk factors, socioeconomic status, educational attainment, hypertension, diabetes mellitus, proteinuria, peripheral arterial disease, smoking, quality of life, functional status, CRIC study
- MeSH terms
- Adult, Age Factors, Aged, Blood Pressure, Cardiovascular Diseases, Educational Status, Female, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Prospective Studies, Proteinuria, Risk Factors, Smoking, Social Class, United States, Disease Progression, Risk Assessment, Patient Selection, Renal Insufficiency, Chronic, Young Adult
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