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1. Risk for Chronic Kidney Disease Progression After Acute Kidney Injury: Findings From the Chronic Renal Insufficiency Cohort Study.

Author

Muiru, Anthony, Hsu, Jesse, Zhang, Xiaoming, Appel, Lawrence, Chen, Jing, Cohen, Debbie, Drawz, Paul, Freedman, Barry, Go, Alan, He, Jiang, Horwitz, Edward, Lash, James, Porter, Anna, Rao, Panduranga, Ricardo, Ana, Rincon-Choles, Hernan, Sondheimer, James, Taliercio, Jonathan, Unruh, Mark, Hsu, Chi-yuan, Liu, Kathleen, Hsu, Raymond, and Mccoy, Ian

Subjects
Humans, United States, Cohort Studies, Cystatin C, Prospective Studies, Renal Insufficiency, Chronic, Acute Kidney Injury, Glomerular Filtration Rate, Creatinine, Risk Factors
Abstract

BACKGROUND: Prior studies associating acute kidney injury (AKI) with more rapid subsequent loss of kidney function had methodological limitations, including inadequate control for differences between patients who had AKI and those who did not. OBJECTIVE: To determine whether AKI is independently associated with subsequent kidney function trajectory among patients with chronic kidney disease (CKD). DESIGN: Multicenter prospective cohort study. SETTING: United States. PARTICIPANTS: Patients with CKD (n = 3150). MEASUREMENTS: Hospitalized AKI was defined by a 50% or greater increase in inpatient serum creatinine (SCr) level from nadir to peak. Kidney function trajectory was assessed using estimated glomerular filtration rate (eGFR) based on SCr level (eGFRcr) or cystatin C level (eGFRcys) measured at annual study visits. RESULTS: During a median follow-up of 3.9 years, 433 participants had at least 1 AKI episode. Most episodes (92%) had stage 1 or 2 severity. There were decreases in eGFRcr (-2.30 [95% CI, -3.70 to -0.86] mL/min/1.73 m2) and eGFRcys (-3.61 [CI, -6.39 to -0.82] mL/min/1.73 m2) after AKI. However, in fully adjusted models, the decreases were attenuated to -0.38 (CI, -1.35 to 0.59) mL/min/1.73 m2 for eGFRcr and -0.15 (CI, -2.16 to 1.86) mL/min/1.73 m2 for eGFRcys, and the CI bounds included the possibility of no effect. Estimates of changes in eGFR slope after AKI determined by either SCr level (0.04 [CI, -0.30 to 0.38] mL/min/1.73 m2 per year) or cystatin C level (-0.56 [CI, -1.28 to 0.17] mL/min/1.73 m2 per year) also had CI bounds that included the possibility of no effect. LIMITATIONS: Few cases of severe AKI, no adjudication of AKI cause, and lack of information about nephrotoxic exposures after hospital discharge. CONCLUSION: After pre-AKI eGFR, proteinuria, and other covariables were accounted for, the association between mild to moderate AKI and worsening subsequent kidney function in patients with CKD was small. PRIMARY FUNDING SOURCE: National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health.

Published
2023

2. Inference and Prediction Using Functional Principal Components Analysis: Application to Diabetic Kidney Disease Progression in the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Kwan, Brian, Yang, Wei, Montemayor, Daniel, Zhang, Jing, Fuhrer, Tobias, Anderson, Amanda H., Anderson, Cheryl A. M., Chen, Jing, Ricardo, Ana C., Rosas, Sylvia E., Natarajan, Loki, and Investigators, the CRIC Study

Subjects
Statistics - Applications
Abstract

Repeated longitudinal measurements are commonly used to model long-term disease progression, and timing and number of assessments per patient may vary, leading to irregularly spaced and sparse data. Longitudinal trajectories may exhibit curvilinear patterns, in which mixed linear regression methods may fail to capture true trends in the data. We applied functional principal components analysis to model kidney disease progression via estimated glomerular filtration rate (eGFR) trajectories. In a cohort of 2641 participants with diabetes and up to 15 years of annual follow-up from the Chronic Renal Insufficiency Cohort (CRIC) study, we detected novel dominant modes of variation and patterns of diabetic kidney disease (DKD) progression among subgroups defined by the presence of albuminuria. We conducted inferential permutation tests to assess differences in longitudinal eGFR patterns between groups. To determine whether fitting a full cohort model or separate group-specific models is more optimal for modeling long-term trajectories, we evaluated model fit, using our goodness-of-fit procedure, and future prediction accuracy. Our findings indicated advantages for both modeling approaches in accomplishing different objectives. Beyond DKD, the methods described are applicable to other settings with longitudinally assessed biomarkers as indicators of disease progression. Supplementary materials for this article are available online.

Published
2022

4. A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Kwan, Brian, Fuhrer, Tobias, Montemayor, Daniel, Fink, Jeffery C, He, Jiang, Hsu, Chi-yuan, Messer, Karen, Nelson, Robert G, Pu, Minya, Ricardo, Ana C, Rincon-Choles, Hernan, Shah, Vallabh O, Ye, Hongping, Zhang, Jing, Sharma, Kumar, and Natarajan, Loki

Subjects
Mathematical Sciences, Information and Computing Sciences, Statistics, Machine Learning, Kidney Disease, Diabetes, Clinical Research, Renal and urogenital, Humans, Diabetic Nephropathies, Betaine, Algorithms, Metabolomics, Renal Insufficiency, Chronic, Diabetes Mellitus, Biomarker, Classification, Feature selection, Kidney disease, Order statistics, Ranking algorithm, Biological Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract

BackgroundThe growing amount of high dimensional biomolecular data has spawned new statistical and computational models for risk prediction and disease classification. Yet, many of these methods do not yield biologically interpretable models, despite offering high classification accuracy. An exception, the top-scoring pair (TSP) algorithm derives parameter-free, biologically interpretable single pair decision rules that are accurate and robust in disease classification. However, standard TSP methods do not accommodate covariates that could heavily influence feature selection for the top-scoring pair. Herein, we propose a covariate-adjusted TSP method, which uses residuals from a regression of features on the covariates for identifying top scoring pairs. We conduct simulations and a data application to investigate our method, and compare it to existing classifiers, LASSO and random forests.ResultsOur simulations found that features that were highly correlated with clinical variables had high likelihood of being selected as top scoring pairs in the standard TSP setting. However, through residualization, our covariate-adjusted TSP was able to identify new top scoring pairs, that were largely uncorrelated with clinical variables. In the data application, using patients with diabetes (n = 977) selected for metabolomic profiling in the Chronic Renal Insufficiency Cohort (CRIC) study, the standard TSP algorithm identified (valine-betaine, dimethyl-arg) as the top-scoring metabolite pair for classifying diabetic kidney disease (DKD) severity, whereas the covariate-adjusted TSP method identified the pair (pipazethate, octaethylene glycol) as top-scoring. Valine-betaine and dimethyl-arg had, respectively, ≥ 0.4 absolute correlation with urine albumin and serum creatinine, known prognosticators of DKD. Thus without covariate-adjustment the top-scoring pair largely reflected known markers of disease severity, whereas covariate-adjusted TSP uncovered features liberated from confounding, and identified independent prognostic markers of DKD severity. Furthermore, TSP-based methods achieved competitive classification accuracy in DKD to LASSO and random forests, while providing more parsimonious models.ConclusionsWe extended TSP-based methods to account for covariates, via a simple, easy to implement residualizing process. Our covariate-adjusted TSP method identified metabolite features, uncorrelated from clinical covariates, that discriminate DKD severity stage based on the relative ordering between two features, and thus provide insights into future studies on the order reversals in early vs advanced disease states.

Published
2023

6. Matrix Metalloproteinase-2 and CKD Progression: The Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Appel, Lawrence J., Cohen, Debbie, Dember, Laura, Go, Alan S., Lash, James P., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Baudier, Robin L., Orlandi, Paula F., Yang, Wei, Chen, Hsiang-Yu, Bansal, Nisha, Blackston, J. Walker, Chen, Jing, Deo, Rajat, Dobre, Mirela, He, Hua, He, Jiang, Ricardo, Ana C., Shafi, Tariq, Srivastava, Anand, Xie, Dawei, Susztak, Katalin, Feldman, Harold I., and Anderson, Amanda H.

Published
2024
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8. Sex dependence of postoperative pulmonary complications – A post hoc unmatched and matched analysis of LAS VEGAS

Author

Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, Juros-Zovko, Marina, Djonoviċ-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, el Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Sottosanti, Luigi Giancarlo Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D'antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Nijbroek, Sunny, Boer, Christa, Duvekot, Anne, ’t Veld, Bas in, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, Mellin-Olsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Glória, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Mónica Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinezv, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Hedenstierma, Göran, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Vermeulen, Tom D., Hol, Liselotte, Swart, Pien, Mills, Gary H., Putensen, Christian, Serpa Neto, Ary, Vidal Melo, Marcos F., Hollmann, Markus W., Gama de Abreu, Marcelo, Schultz, Marcus J., Hemmes, Sabrine N., and van Meenen, David M.

Published
2024
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9. Neighborhood Socioeconomic Status and Cardiovascular Events in Adults With CKD: The CRIC Study

Author

Chen, Jing, Cohen, Debbie L., Dember, Laura M., Anderson, Amada H., Go, Alan S., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Aronov, Avi G., Saunders, Milda R., Hsu, Jesse Y., Sha, Daohang, Daviglus, Martha, Fischer, Michael J., Appel, Lawrence J., Sondheimer, James, He, Jiang, Rincon-Choles, Hernan, Horwitz, Edward J., Kelly, Tanika N., Ricardo, Ana C., and Lash, James P.

Published
2024
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11. Metabolites Associated With Uremic Symptoms in Patients With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Dember, Laura M., Landis, J. Richard, Townsend, Raymond R., Appel, Lawrence, Fink, Jeffrey, Rahman, Mahboob, Horwitz, Edward J., Taliercio, Jonathan J., Rao, Panduranga, Sondheimer, James H., Lash, James P., Chen, Jing, Go, Alan S., Parsa, Afshin, Rankin, Tracy, Wulczyn, Kendra E., Shafi, Tariq, Anderson, Amanda, Rincon-Choles, Hernan, Clish, Clary B., Denburg, Michelle, Feldman, Harold I., He, Jiang, Hsu, Chi-yuan, Kelly, Tanika, Kimmel, Paul L., Mehta, Rupal, Nelson, Robert G., Ramachandran, Vasan, Ricardo, Ana, Shah, Vallabh O., Srivastava, Anand, Xie, Dawei, Rhee, Eugene P., and Kalim, Sahir

Published
2024
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12. Adherence to Plant-Based Diets and Risk of CKD Progression and All-Cause Mortality: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Chen, Jing, Cohen, Debbie L., Feldman, Harold I., Go, Alan S., Lash, James P., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Amir, Saira, Kim, Hyunju, Hu, Emily A., Ricardo, Ana C., Mills, Katherine T., He, Jiang, Fischer, Michael J., Pradhan, Nishigandha, Tan, Thida C., Navaneethan, Sankar D., Dobre, Mirela, Anderson, Cheryl A.M., Appel, Lawrence J., and Rebholz, Casey M.

Published
2024
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13. Plasma Kidney Injury Molecule 1 in CKD: Findings From the Boston Kidney Biopsy Cohort and CRIC Studies

Author

Schmidt, Insa M, Srivastava, Anand, Sabbisetti, Venkata, McMahon, Gearoid M, He, Jiang, Chen, Jing, Kusek, John W, Taliercio, Jonathan, Ricardo, Ana C, Hsu, Chi-yuan, Kimmel, Paul L, Liu, Kathleen D, Mifflin, Theodore E, Nelson, Robert G, Vasan, Ramachandran S, Xie, Dawei, Zhang, Xiaoming, Palsson, Ragnar, Stillman, Isaac E, Rennke, Helmut G, Feldman, Harold I, Bonventre, Joseph V, Waikar, Sushrut S, and Investigators, Chronic Kidney Disease Biomarkers Consortium and the CRIC Study

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Renal and urogenital, Good Health and Well Being, Biomarkers, Biopsy, Boston, Cohort Studies, Cross-Sectional Studies, Disease Progression, Humans, Kidney, Prospective Studies, Renal Insufficiency, Chronic, Chronic Kidney Disease Biomarkers Consortium and the CRIC Study Investigators, Public Health and Health Services, Urology & Nephrology, Clinical sciences
Abstract

Rationale & objectivePlasma kidney injury molecule 1 (KIM-1) is a sensitive marker of proximal tubule injury, but its association with risks of adverse clinical outcomes across a spectrum of kidney diseases is unknown.Study designProspective, observational cohort study.Setting & participants524 individuals enrolled into the Boston Kidney Biopsy Cohort (BKBC) Study undergoing clinically indicated native kidney biopsy with biopsy specimens adjudicated for semiquantitative scores of histopathology by 2 kidney pathologists and 3,800 individuals with common forms of chronic kidney disease (CKD) enrolled into the Chronic Renal Insufficiency Cohort (CRIC) Study.ExposureHistopathologic lesions and clinicopathologic diagnosis in cross-sectional analyses, baseline plasma KIM-1 levels in prospective analyses.OutcomesBaseline plasma KIM-1 levels in cross-sectional analyses, kidney failure (defined as initiation of kidney replacement therapy) and death in prospective analyses.Analytical approachMultivariable-adjusted linear regression models tested associations of plasma KIM-1 levels with histopathologic lesions and clinicopathologic diagnoses. Cox proportional hazards models tested associations of plasma KIM-1 levels with future kidney failure and death.ResultsIn the BKBC Study, higher plasma KIM-1 levels were associated with more severe acute tubular injury, tubulointerstitial inflammation, and more severe mesangial expansion after multivariable adjustment. Participants with diabetic nephropathy, glomerulopathies, and tubulointerstitial disease had significantly higher plasma KIM-1 levels after multivariable adjustment. In the BKBC Study, CKD in 124 participants progressed to kidney failure and 85 participants died during a median follow-up time of 5 years. In the CRIC Study, CKD in 1,153 participants progressed to kidney failure and 1,356 participants died during a median follow-up time of 11.5 years. In both cohorts, each doubling of plasma KIM-1 level was associated with an increased risk of kidney failure after multivariable adjustment (hazard ratios of 1.19 [95% CI, 1.03-1.38] and 1.10 [95% CI, 1.06-1.15] for BKBC and CRIC, respectively). There was no statistically significant association of plasma KIM-1 levels with death in either cohort.LimitationsGeneralizability and unmeasured confounding.ConclusionsPlasma KIM-1 is associated with underlying tubulointerstitial and mesangial lesions and progression to kidney failure in 2 cohort studies of individuals with kidney diseases.

Published
2022

14. Depressive Symptoms, Antidepressants, and Clinical Outcomes in Chronic Kidney Disease: Findings from the CRIC Study

Author

Appel, Lawrence J., Chen, Jing, Cohen, Debbie L., Feldman, Harold I., Go, Alan S., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Hernandez, Rosalba, Xie, Dawei, Wang, Xue, Jordan, Neil, Ricardo, Ana C., Anderson, Amanda H., Diamantidis, Clarissa J., Kusek, John W., Yaffe, Kristine, Lash, James P., and Fischer, Michael J.

Published
2024
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15. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project

Author

Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Campbell, Taneisha, Fox, Monica, Knight, Richard, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell; Ron Gaba, Eunice, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown; Jerica Berge, Dorisann, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Chaudhury; Evan Zeitler, Prabir Roy, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, Kermani, Asra, Lee, Simon C., Ma, Shihong, Miller, Richard Tyler, Moe, Orson W., Park, Harold, Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Alpers, Charles, Berglund, Ashley, Berry, Brooke, Blank, Kristina, Brown, Keith, Carson, Jonas, Daniel, Stephen, de Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew, Jefferson, Nichole, Larson, Brandon, Limonte, Christine, McClelland, Robyn, Mooney, Sean, Nam, Yunbi, Park, Christopher, Phuong, Jimmy, Rezaei, Kasra, Roberts, Glenda, Sarkisova, Natalya, Shankland, Stuart, Snyder, Jaime, Stutzke, Christy, Tuttle, Katherine, Wangperawong, Artit, Wilcox, Adam, Williams, Kayleen, Young, Bessie, Allen, Jamie, Caprioli, Richard M., de Caestecker, Mark, Djambazova, Katerina, Dufresne, Martin, Farrow, Melissa, Fogo, Agnes, Sharman, Kavya, Spraggins, Jeffrey, Basta, Jeannine, Conlon, Kristine, Diettman, Sabine M., Gaut, Joseph, Kaushal, Madhurima, Jain, Sanjay, Knoten, Amanda, Minor, Brittany, Nwanne, Gerald, Vijayan, Anitha, Zhang, Bo, Arora, Tanima, Cantley, Lloyd, Victoria Castro, Angela M., Kakade, Vijayakumar, Moeckel, Gilbert, Moledina, Dennis, Shaw, Melissa, Wilson, Francis P., El-Achkar, Tarek M., and Eadon, Michael T.

Published
2024
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16. Frailty and Cardiovascular Outcomes in Adults With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Chen, Jing, Cohen, Debbie L., Feldman, Harold I., Go, Alan S., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Hannan, Mary, Chen, Jinsong, Hsu, Jesse, Zhang, Xiaoming, Saunders, Milda R., Brown, Julia, McAdams-DeMarco, Mara, Mohanty, Madhumita Jena, Vyas, Rahul, Hajjiri, Zahraa, Carmona-Powell, Eunice, Meza, Natalie, Porter, Anna C., Ricardo, Ana C., and Lash, James P.

Published
2024
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17. Absence of long-term changes in urine biomarkers after AKI: findings from the CRIC study

Author

McCoy, Ian E, Hsu, Jesse Y, Bonventre, Joseph V, Parikh, Chirag R, Go, Alan S, Liu, Kathleen D, Ricardo, Ana C, Srivastava, Anand, Cohen, Debbie L, He, Jiang, Chen, Jing, Rao, Panduranga S, Muiru, Anthony N, and Hsu, Chi-yuan

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Renal and urogenital, Good Health and Well Being, Acute Kidney Injury, Adult, Biomarkers, Creatinine, Humans, Kidney Function Tests, Renal Insufficiency, Chronic, Acute kidney injury, Chronic kidney disease, Urology & Nephrology, Clinical sciences, Health services and systems, Nursing
Abstract

BackgroundMechanisms by which AKI leads to CKD progression remain unclear. Several urine biomarkers have been identified as independent predictors of progressive CKD. It is unknown whether AKI may result in long-term changes in these urine biomarkers, which may mediate the effect of AKI on CKD progression.MethodsWe selected 198 episodes of hospitalized AKI (defined as peak/nadir inpatient serum creatinine values ≥ 1.5) among adult participants in the Chronic Renal Insufficiency Cohort (CRIC) Study. We matched the best non-AKI hospitalization (unique patients) for each AKI hospitalization using pre-hospitalization characteristics including eGFR and urine protein/creatinine ratio. Biomarkers were measured in banked urine samples collected at annual CRIC study visits.ResultsUrine biomarker measurements occurred a median of 7 months before and 5 months after hospitalization. There were no significant differences in the change in urine biomarker-to-creatinine ratio between the AKI and non-AKI groups: KIM-1/Cr + 9% vs + 7%, MCP-1/Cr + 4% vs + 1%, YKL-40/Cr + 7% vs -20%, EGF/Cr -11% vs -8%, UMOD/Cr -2% vs -7% and albumin/Cr + 17% vs + 13% (all p > 0.05).ConclusionIn this cohort of adults with CKD, AKI did not associate with long-term changes in urine biomarkers.

Published
2022

18. Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease

Author

Ferkowicz, Michael J., Verma, Ashish, Barwinska, Daria, Melo Ferreira, Ricardo, Henderson, Joel M., Kirkpatrick, Mary, Silva, Paolo S., Steenkamp, Devin W., Phillips, Carrie L., Waikar, Sushrut S., Sutton, Timothy A., Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Weins, Astrid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, Varela, German, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Barisoni, Laura, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Fox, Monica, Hayashi, Lynda, Jefferson, Nichole, Richard Knight, Jennifer Jones, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Stutzke, Christy, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lutnick, Brendon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell, Eunice, Gaba, Ron, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown, Dorisann, Berge, Jerica, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Roy-Chaudhury, Prabir, Zeitler, Evan, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, and Asra

Published
2024
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21. Periodontal Disease and Incident CKD in US Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos

Author

Toth-Manikowski, Stephanie M, Ricardo, Ana C, Salazar, Christian R, Chen, Jinsong, Khambaty, Tasneem, Liu, Jannel, Singer, Richard H, Youngblood, Marston E, Cai, Jianwen, Kaste, Linda M, Daviglus, Martha L, and Lash, James P

Subjects
Biomedical and Clinical Sciences, Dentistry, Kidney Disease, Prevention, Infectious Diseases, Clinical Research, Renal and urogenital, Good Health and Well Being, chronc kidney disease, periodontal disease, Clinical sciences
Abstract

Rationale & objectiveRecent studies suggest that periodontal disease may be associated with incident chronic kidney disease (CKD). However, studies have focused on older populations, and US Hispanics/Latinos were not well represented.Study designObservational cohort.Setting & participantsWe analyzed data from the Hispanic Community Health Study/Study of Latinos who completed a baseline visit with a periodontal examination and a follow-up visit, and did not have CKD at baseline.PredictorsPredictors included ≥30% of sites with clinical attachment loss ≥3 mm, ≥30% of sites with probing depth ≥4 mm, percentage of sites with bleeding on probing, and absence of functional dentition (

Published
2021

22. Trends and perspectives for improving quality of chronic kidney disease care: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Author

Al-Aly, Ziyad, Ashuntantang, Gloria E., Boor, Peter, Calice da Silva, Viviane, Coleman, Jill, Coresh, Josef, Delanaye, Pierre, Ebert, Natalie, Enghard, Philipp, Feldman, Harold I., Fisher, Lori, Flythe, Jennifer E., Fukui, Akira, Grams, Morgan E., Ix, Joseph H., Jardine, Meg J., Jha, Vivek, Ju, Wenjun, Jurish, Robert, Kalyesubula, Robert, Kashihara, Naoki, Levey, Andrew S., Levin, Adeera, Luyckx, Valerie, Małyszko, Jolanta, Manski-Nankervis, Jo-Anne, Navaneethan, Sankar D., Obrador, Greg, Ortiz, Alberto, Ortiz, John, Cardoso Dos Santos, Bento Fortunato, Sarnak, Mark J., Schaeffner, Elke, Selby, Nick M., Simpson, David M., Solá, Laura, St. Peter, Wendy L., Stevens, Paul E., Tangri, Navdeep, Tannor, Elliot Koranteng, Tchokhonelidze, Irma, Wilck, Nicola, Wong, Michelle M.Y., Eckardt, Kai-Uwe, Delgado, Cynthia, Heerspink, Hiddo J.L., Pecoits-Filho, Roberto, Ricardo, Ana C., Stengel, Bénédicte, Tonelli, Marcello, Cheung, Michael, Jadoul, Michel, Winkelmayer, Wolfgang C., and Kramer, Holly

Published
2023
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23. Atrial Fibrillation and Longitudinal Change in Cognitive Function in CKD

Author

McCauley, Mark D, Hsu, Jesse Y, Ricardo, Ana C, Darbar, Dawood, Kansal, Mayank, Tamura, Manjula Kurella, Feldman, Harold I, Kusek, John W, Taliercio, Jonathan J, Rao, Panduranga S, Shafi, Tariq, He, Jiang, Wang, Xue, Sha, Daohang, Lamar, Melissa, Go, Alan S, Yaffe, Kristine, Lash, James P, Investigators, CRIC Study, Appel, Lawrence J, Rahman, Mahboob, and Townsend, Raymond R

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Clinical Research, Cardiovascular, Aging, Kidney Disease, Heart Disease, Renal and urogenital, Good Health and Well Being, atrial fibrillation, cognitive function, nephrology and kidney, CRIC Study Investigators, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundStudies in the general population suggest that atrial fibrillation (AF) is an independent risk factor for decline in cognitive function, but this relationship has not been examined in adults with chronic kidney disease (CKD). We investigated the association between incident AF and changes in cognitive function over time in this population.Methods and resultsWe studied a subgroup of 3254 adults participating in the Chronic Renal Insufficiency Cohort Study. Incident AF was ascertained by 12-lead electrocardiogram (ECG) obtained at a study visit and/or identification of a hospitalization with AF during follow-up. Cognitive function was assessed biennially using the Modified Mini-Mental State Exam. Linear mixed effects regression was used to evaluate the association between incident AF and longitudinal change in cognitive function. Compared with individuals without incident AF (n = 3158), those with incident AF (n = 96) were older, had a higher prevalence of cardiovascular disease and hypertension, and lower estimated glomerular filtration rate. After median follow-up of 6.8 years, we observed no significant multivariable association between incident AF and change in cognitive function test score.ConclusionIn this cohort of adults with CKD, incident AF was not associated with a decline in cognitive function.

Published
2021

24. Health-Related Quality of Life, Depressive Symptoms, and Kidney Transplant Access in Advanced CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Harhay, Meera Nair, Yang, Wei, Sha, Daohang, Roy, Jason, Chai, Boyang, Fischer, Michael J, Hamm, L Lee, Hart, Peter D, Hsu, Chi-yuan, Huan, Yonghong, Huml, Anne M, Kallem, Radhakrishna Reddy, Tamura, Manjula Kurella, Porter, Anna C, Ricardo, Ana C, Slaven, Anne, Rosas, Sylvia E, Townsend, Raymond R, Reese, Peter P, Lash, James P, Akkina, Sanjeev, Investigators, CRIC Study, Appel, Lawrence J, Feldman, Harold I, Go, Alan S, He, Jiang, Kusek, John W, Rao, Panduranga, and Rahman, Mahboob

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Clinical Research, Depression, Transplantation, Mental Health, Organ Transplantation, Behavioral and Social Science, Renal and urogenital, Good Health and Well Being, CRIC Study Investigators, Kidney Transplant, depression, quality-of-life, wait-listing, Clinical sciences
Abstract

Rationale & objectiveAmong individuals with chronic kidney disease (CKD), poor self-reported health is associated with adverse outcomes including hospitalization and death. We sought to examine the association between health-related quality-of-life (HRQoL) and depressive symptoms in advanced CKD and subsequent access to the kidney transplant waiting list.Study designProspective cohort study.Setting & population1,676 Chronic Renal Insufficiency Cohort (CRIC) study participants with estimated glomerular filtration rates ≤ 30 mL/min/1.73 m2 at study entry or during follow-up.ExposuresHRQoL ascertained by 5 scales of the Kidney Disease Quality of Life-36 Survey (Physical Component Summary [PCS], Mental Component Summary, Symptoms, Burdens, and Effects), with higher scores indicating better HRQoL, and depressive symptoms ascertained using the Beck Depression Inventory.OutcomesTime to kidney transplant wait-listing and time to pre-emptive wait-listing.Analytic approachTime-to-event analysis using Cox proportional hazards regression.ResultsDuring a median follow-up of 5.1 years, 652 (39%) participants were wait-listed, of whom 304 were preemptively wait-listed. Adjusted for demographics, comorbid conditions, estimated glomerular filtration rate slope, and cognitive function, participants with the highest scores on the Burden and Effects scales, respectively, had lower rates of wait-listing than those with the lowest scores on the Burden (wait-listing adjusted hazard ratio [aHR], 0.70; 95% CI, 0.57-0.85; P

Published
2020

25. Race and Mortality in CKD and Dialysis: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Ku, Elaine, Yang, Wei, McCulloch, Charles E, Feldman, Harold I, Go, Alan S, Lash, James, Bansal, Nisha, He, Jiang, Horwitz, Ed, Ricardo, Ana C, Shafi, Tariq, Sondheimer, James, Townsend, Raymond R, Waikar, Sushrut S, Hsu, Chi-yuan, Investigators, CRIC Study, Appel, Lawrence J, Kusek, John W, Rao, Panduranga S, and Rahman, Mahboob

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Disease Progression, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prognosis, Racial Groups, Renal Dialysis, Renal Insufficiency, Chronic, Retrospective Studies, Risk Assessment, Risk Factors, Survival Rate, United States, CRIC Study Investigators, Chronic Renal Insufficiency Cohort, Mortality, cardiovascular disease, chronic kidney disease, comorbid conditions, dialysis, end-stage renal disease, non–dialysis-dependent CKD, race, racial disparities, survival analysis, survival paradox, transition to dialysis, Public Health and Health Services, Urology & Nephrology, Clinical sciences
Abstract

Rationale & objectivesFew studies have investigated racial disparities in survival among dialysis patients in a manner that considers risk factors and mortality during the phase of kidney disease before maintenance dialysis. Our objective was to explore racial variations in survival among dialysis patients and relate them to racial differences in comorbid conditions and rates of death in the setting of kidney disease not yet requiring dialysis therapy.Study designRetrospective cohort study.Settings & participants3,288 black and white participants in the Chronic Renal Insufficiency Cohort (CRIC), none of whom were receiving dialysis at enrollment.ExposureRace.OutcomeMortality.Analytic approachCox proportional hazards regression was used to examine the association between race and mortality starting at: (1) time of dialysis initiation and (2) entry into the CRIC.ResultsDuring 7.1 years of median follow-up, 678 CRIC participants started dialysis. Starting from the time of dialysis initiation, blacks had lower risk for death (unadjusted HR, 0.67; 95% CI, 0.51-0.87) compared with whites. Starting from baseline CRIC enrollment, the strength of the association between some risk factors and dialysis was notably stronger for whites than blacks. For example, the HR for dialysis onset in the presence (vs absence) of heart failure at CRIC enrollment was 1.30 (95% CI, 1.01-1.68) for blacks versus 2.78 (95% CI, 1.90-4.50) for whites, suggesting differential severity of these risk factors by race. When we included deaths occurring both before and after dialysis, risk for death was higher among blacks (vs whites) starting from CRIC enrollment (HR, 1.41; 95% CI, 1.22-1.64), but this finding was attenuated in adjusted models (HR, 1.08; 95% CI, 0.91-1.28).LimitationsResidual confounding.ConclusionsThe apparent survival advantage among blacks over whites treated with dialysis may be attributed to selected transition of a subset of whites with more severe comorbid conditions onto dialysis.

Published
2020

26. Matrix Metalloproteinase-2 and CKD Progression: The Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Baudier, Robin L., primary, Orlandi, Paula F., additional, Yang, Wei, additional, Chen, Hsiang-Yu, additional, Bansal, Nisha, additional, Blackston, J. Walker, additional, Chen, Jing, additional, Deo, Rajat, additional, Dobre, Mirela, additional, He, Hua, additional, He, Jiang, additional, Ricardo, Ana C., additional, Shafi, Tariq, additional, Srivastava, Anand, additional, Xie, Dawei, additional, Susztak, Katalin, additional, Feldman, Harold I., additional, Anderson, Amanda H., additional, Appel, Lawrence J., additional, Cohen, Debbie, additional, Dember, Laura, additional, Go, Alan S., additional, Lash, James P., additional, Nelson, Robert G., additional, Rahman, Mahboob, additional, Rao, Panduranga S., additional, Shah, Vallabh O., additional, and Unruh, Mark L., additional

Published
2024
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30. Emergency Department/Urgent Care as Usual Source of Care and Clinical Outcomes in CKD: Findings From the Chronic Renal Insufficiency Cohort Study

Author

Appel, Lawrence J., Feldman, Harold I., Go, Alan S., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Townsend, Raymond R., Unruh, Mark L., Toth-Manikowski, Stephanie M., Hsu, Jesse Y., Fischer, Michael J., Cohen, Jordana B., Lora, Claudia M., Tan, Thida C., He, Jiang, Greer, Raquel C., Weir, Matthew R., Zhang, Xiaoming, Schrauben, Sarah J., Saunders, Milda R., Ricardo, Ana C., and Lash, James P.

Published
2022
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31. Comparative Evaluation of Temporomandibular Condylar Changes Using Texture Analysis of CT and MRI Images.

Author

Ogawa, Celso Massahiro, Flaiban, Everton, Ricardo, Ana Lúcia Franco, Lopes, Diana Lorena Garcia, de Oliveira, Lays Assolini Pinheiro, de Almeida, Bruna Maciel, de Oliveira Lira, Adriana, Orhan, Kaan, de Castro Lopes, Sérgio Lúcio Pereira, and Costa, Andre Luiz Ferreira

Subjects
COMPUTER-aided diagnosis, TEXTURE analysis (Image processing), MAGNETIC resonance imaging, COMPUTED tomography, DIAGNOSTIC imaging
Abstract

This study aims to compare computed tomography (CT) with magnetic resonance imaging (MRI) of the temporomandibular joint (TMJ) by using texture analysis (TA) to detect condylar bone marrow changes associated with the flattening and erosion of cortical bone. A total of 47 patients from the Dentomaxillofacial Radiology Division at São Paulo State University were evaluated. Images from 250 CT and 250 MRI images were assessed by experienced radiologists employing OnDemand3D software. Texture parameters were extracted with MaZda software (version 4.6), and we focused on regions of interest within the condyles. Statistical analysis revealed significant differences in texture parameters between the affected and control groups. CT images showed higher correlation values in cases of flattening, whereas MRI images demonstrated substantial changes in texture parameters for both flattening and erosion. These findings suggest that the texture analysis of CT and MRI images can effectively detect early and advanced degenerative changes in the TMJ, thus providing valuable insights into the underlying pathophysiology and aiding in early intervention and treatment planning. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Inspiration Mining: Exploring Design Research(ers) Strategies

Author

Maldonado, Paulo, Ricardo, Ana, Almeida, Ana, Gonçalino, Inês, Gouveia, Raquel, Condeça, Sara, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Markopoulos, Evangelos, editor, Goonetilleke, Ravindra S., editor, Ho, Amic G., editor, and Luximon, Yan, editor

Published
2021
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33. Longitudinal Weight Change During CKD Progression and Its Association With Subsequent Mortality

Author

Ku, Elaine, Kopple, Joel D, Johansen, Kirsten L, McCulloch, Charles E, Go, Alan S, Xie, Dawei, Lin, Feng, Hamm, L Lee, He, Jiang, Kusek, John W, Navaneethan, Sankar D, Ricardo, Ana C, Rincon-Choles, Hernan, Smogorzewski, Miroslaw, Hsu, Chi-yuan, Investigators, CRIC Study, Appel, Lawrence J, Feldman, Harold I, Lash, James P, Ojo, Akinlolu, Rahman, Mahboob, and Townsend, Raymond R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Adult, Aged, Body Mass Index, Body Weight, Cause of Death, Cohort Studies, Disease Progression, Female, Follow-Up Studies, Humans, Kidney Failure, Chronic, Longitudinal Studies, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Renal Dialysis, Renal Insufficiency, Chronic, Risk Assessment, Survival Rate, Weight Loss, CRIC Study Investigators, CKD progression, Weight, body mass index, chronic kidney disease, dialysis initiation, end-stage renal disease, mortality, nutrition, risk of death, weight change, Public Health and Health Services, Urology & Nephrology, Clinical sciences
Abstract

BackgroundFew studies have investigated the changes in weight that may occur over time among adults with the progression of chronic kidney disease (CKD). Whether such weight changes are independently associated with death after the onset of end-stage renal disease has also not been rigorously examined.Study designProspective cohort study.Setting & participantsWe studied 3,933 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study, a longitudinal cohort of patients with CKD. We also performed similar analyses among 1,067 participants of the African American Study of Kidney Disease and Hypertension (AASK).PredictorsEstimated glomerular filtration rate (eGFR) and weight change during CKD.OutcomeWeight and all-cause mortality after dialysis therapy initiation.ResultsDuring a median follow-up of 5.7 years in CRIC, weight change was not linear. Weight was stable until cystatin C-based eGFR (eGFRcys) decreased to 5% annualized weight loss after eGFR decreased to

Published
2018

34. Risk factors for progression of coronary artery calcification in patients with chronic kidney disease: The CRIC study

Author

Bundy, Joshua D, Chen, Jing, Yang, Wei, Budoff, Matthew, Go, Alan S, Grunwald, Juan E, Kallem, Radhakrishna R, Post, Wendy S, Reilly, Muredach P, Ricardo, Ana C, Rosas, Sylvia E, Zhang, Xiaoming, He, Jiang, and Investigators, the CRIC Study

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Prevention, Heart Disease - Coronary Heart Disease, Kidney Disease, Heart Disease, Cardiovascular, Atherosclerosis, Renal and urogenital, Good Health and Well Being, Adult, Aged, Biomarkers, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Disease Progression, Female, Glomerular Filtration Rate, Humans, Incidence, Kidney, Male, Middle Aged, Multidetector Computed Tomography, Prospective Studies, Renal Insufficiency, Chronic, Risk Assessment, Risk Factors, Time Factors, United States, Vascular Calcification, Young Adult, Coronary artery disease, Chronic kidney disease, Risk factors, Epidemiology, CRIC Study Investigators, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BACKGROUND AND AIMS:Coronary artery calcification (CAC) is common among patients with chronic kidney disease (CKD) and predicts the risk for cardiovascular disease (CVD). We examined the associations of novel risk factors with CAC progression among patients with CKD. METHODS:Among 1123 CKD patients in the Chronic Renal Insufficiency Cohort (CRIC) Study, CAC was measured in Agatston units at baseline and a follow-up visit using electron beam computed tomography or multidetector computed tomography. RESULTS:Over an average 3.3-year follow-up, 109 (25.1%) participants without CAC at baseline had incident CAC and 124 (18.0%) participants with CAC at baseline had CAC progression, defined as an annual increase of ≥100 Agatston units. After adjustment for established atherosclerotic risk factors, several novel risk factors were associated with changes in CAC over follow-up. Changes in square root transformed CAC score associated with 1 SD greater level of risk factors were -0.20 (95% confidence interval, -0.31 to -0.10; p < 0.001) for estimated glomerular filtration rate, 0.14 (0.02-0.25; p = 0.02) for 24-h urine albumin, 0.25 (0.15-0.34; p < 0.001) for cystatin C, -0.17 (-0.27 to -0.07; p < 0.001) for serum calcium, 0.14 (0.03-0.24; p = 0.009) for serum phosphate, 0.24 (0.14-0.33; p < 0.001) for fibroblast growth factor-23, 0.13 (0.04-0.23; p = 0.007) for total parathyroid hormone, 0.17 (0.07-0.27; p < 0.001) for interleukin-6, and 0.12 (0.02-0.22; p = 0.02) for tumor necrosis factor-α. CONCLUSIONS:Reduced kidney function, calcium and phosphate metabolism disorders, and inflammation, independent of established CVD risk factors, may progress CAC among CKD patients.

Published
2018

35. Depressive Symptoms, Antidepressants, and Clinical Outcomes in Chronic Kidney Disease: Findings from the CRIC Study

Author

Hernandez, Rosalba, primary, Xie, Dawei, additional, Wang, Xue, additional, Jordan, Neil, additional, Ricardo, Ana C., additional, Anderson, Amanda H., additional, Diamantidis, Clarissa J., additional, Kusek, John W., additional, Yaffe, Kristine, additional, Lash, James P., additional, Fischer, Michael J., additional, Appel, Lawrence J., additional, Chen, Jing, additional, Cohen, Debbie L., additional, Feldman, Harold I., additional, Go, Alan S., additional, Nelson, Robert G., additional, Rahman, Mahboob, additional, Rao, Panduranga S., additional, Shah, Vallabh O., additional, and Unruh, Mark L., additional

Published
2024
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42. Atrial Fibrillation and Longitudinal Change in Cognitive Function in CKD

Author

Appel, Lawrence J., Rahman, Mahboob, Townsend, Raymond R., McCauley, Mark D., Hsu, Jesse Y., Ricardo, Ana C., Darbar, Dawood, Kansal, Mayank, Kurella Tamura, Manjula, Feldman, Harold I., Kusek, John W., Taliercio, Jonathan J., Rao, Panduranga S., Shafi, Tariq, He, Jiang, Wang, Xue, Sha, Daohang, Lamar, Melissa, Go, Alan S., Yaffe, Kristine, and Lash, James P.

Published
2021
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44. Racial/Ethnic Differences in Left Ventricular Structure and Function in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort.

Author

Ahmad, Faraz S, Cai, Xuan, Kunkel, Katherine, Ricardo, Ana C, Lash, James P, Raj, Dominic S, He, Jiang, Anderson, Amanda H, Budoff, Matthew J, Wright Nunes, Julie A, Roy, Jason, Wright, Jackson T, Go, Alan S, St John Sutton, Martin G, Kusek, John W, Isakova, Tamara, Wolf, Myles, and Keane, Martin G

Subjects
Hypertension, Prevention, Clinical Research, Cardiovascular, Kidney Disease, Renal and urogenital, Good Health and Well Being, Adult, Aged, Blacks, Blood Pressure, Cohort Studies, Cross-Sectional Studies, Electrocardiography, Ethnicity, Female, Heart Ventricles, Humans, Hypertrophy, Left Ventricular, Male, Middle Aged, Prevalence, Renal Insufficiency, Chronic, Socioeconomic Factors, Ventricular Dysfunction, Left, Ventricular Remodeling, Whites, Young Adult, blood pressure, echocardiography, hypertension, left ventricular hypertrophy, race and ethnicity, remodeling, renal insufficiency, CRIC Study Investigators, White People, Black People, Clinical Sciences, Cardiovascular System & Hematology
Abstract

BackgroundChronic kidney disease (CKD) is associated with increased risk of cardiovascular disease (CVD) and it is especially common among Blacks. Left ventricular hypertrophy (LVH) is an important subclinical marker of CVD, but there are limited data on racial variation in left ventricular structure and function among persons with CKD.MethodsIn a cross-sectional analysis of the Chronic Renal Insufficiency Cohort Study, we compared the prevalence of different types of left ventricular remodeling (concentric hypertrophy, eccentric hypertrophy, and concentric remodeling) by race/ethnicity. We used multinomial logistic regression to test whether race/ethnicity associated with different types of left ventricular remodeling independently of potential confounding factors.ResultsWe identified 1,164 non-Hispanic Black and 1,155 non-Hispanic White participants who completed Year 1 visits with echocardiograms that had sufficient data to categorize left ventricular geometry type. Compared to non-Hispanic Whites, non-Hispanic Blacks had higher mean left ventricular mass index (54.7 ± 14.6 vs. 47.4 ± 12.2 g/m2.7; P < 0.0001) and prevalence of concentric LVH (45.8% vs. 24.9%). In addition to higher systolic blood pressure and treatment with >3 antihypertensive medications, Black race/ethnicity was independently associated with higher odds of concentric LVH compared to White race/ethnicity (odds ratio: 2.73; 95% confidence interval: 2.02, 3.69).ConclusionIn a large, diverse cohort with CKD, we found significant differences in left ventricular mass and hypertrophic morphology between non-Hispanic Blacks and Whites. Future studies will evaluate whether higher prevalence of LVH contribute to racial/ethnic disparities in cardiovascular outcomes among CKD patients.

Published
2017

46. Dietary Tryptophan Plays a Role as an Anti-Inflammatory Agent in European Seabass (Dicentrarchus labrax) Juveniles during Chronic Inflammation.

Author

Azeredo, Rita, Peixoto, Diogo, Santos, Paulo, Duarte, Inês, Ricardo, Ana, Aragão, Cláudia, Machado, Marina, and Costas, Benjamín

Subjects
EUROPEAN seabass, FISH feeds, TRYPTOPHAN, ANTI-inflammatory agents, DIETARY supplements, INFLAMMATION
Abstract

Simple Summary: Where teleost fish are concerned, the effects of a dietary tryptophan surplus are mostly immunosuppressive, making it a potential dietary anti-inflammatory strategy. The goal of the present work was to evaluate the effects of tryptophan dietary supplementation on immune and neuroendocrine responses of the European seabass, Dicentrarchus labrax, undergoing chronic inflammation. Juvenile European seabass were intraperitoneally injected with an inflammatory agent (inflamed group) or a saline solution (control group). Within each group, fish were fed a control and a control-based diet supplemented with tryptophan for 4 weeks. Different tissues were sampled every week for the assessment of immune-related parameters. When tryptophan was provided to fish undergoing inflammation, the gene expression of a macrophage marker increased sooner and remained high until the end of the experiment. The same fish showed a concurrent increase in peripheral monocyte counts. After one week, molecular patterns of anti-inflammatory processes seemed to be favoured by tryptophan. Altogether, results show that a short administration period seems to be critical where tryptophan supplementation is concerned since at later inflammatory stages—and longer feeding periods—fish fed this diet displayed a molecular profile similar to that of fish fed a control diet. Where teleost fish are concerned, studies in tryptophan immunomodulation generally point to immunosuppressive properties, thus presenting a potential anti-inflammatory dietary strategy. The goal of the present work was to evaluate the effects of tryptophan dietary supplementation on immune and neuroendocrine responses of the European seabass, Dicentrarchus labrax, undergoing chronic inflammation. Juvenile European seabass were intraperitoneally injected with either Freund's Incomplete Adjuvant (FIA, inflamed group) or a saline solution (control group). Within each group, fish were fed a control (CTRL) and a CTRL-based diet supplemented with tryptophan (0.3% DM basis; TRP) for 4 weeks. Different tissues were sampled every week for the assessment of immune-related parameters. When TRP was provided to FIA-injected fish, mcsfr gene expression increased from 1 to 2 weeks and remained high until the end of the experiment. The same fish showed a concurrent increase in peripheral monocyte counts. Moreover, il34 expression at 1 week post-FIA injection was higher in TRP-fed than in CTRL-fed fish. After one week, molecular patterns of anti-inflammatory processes seemed to be favoured by TRP (mcsfr, gr1, il34 and tgfβ). Altogether, the results show that the feeding period seems to be critical where tryptophan supplementation is concerned since at later inflammatory stages—and longer feeding periods—fish fed TRP displayed a molecular profile similar to that of the CTRL group. In contrast, shorter administration periods might accelerate immune regulatory pathways. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Health-Related Quality of Life, Depressive Symptoms, and Kidney Transplant Access in Advanced CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study

Author

Appel, Lawrence J., Feldman, Harold I., Go, Alan S., He, Jiang, Kusek, John W., Rao, Panduranga, Rahman, Mahboob, Harhay, Meera Nair, Yang, Wei, Sha, Daohang, Roy, Jason, Chai, Boyang, Fischer, Michael J., Hamm, L. Lee, Hart, Peter D., Hsu, Chi-yuan, Huan, Yonghong, Huml, Anne M., Kallem, Radhakrishna Reddy, Tamura, Manjula Kurella, Porter, Anna C., Ricardo, Ana C., Slaven, Anne, Rosas, Sylvia E., Townsend, Raymond R., Reese, Peter P., Lash, James P., and Akkina, Sanjeev

Published
2020
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50. Neighborhood Food Outlet Access and Dietary Intake among Adults with Chronic Kidney Disease: Results from the Chronic Renal Insufficiency Cohort Study

Author

Feldman, Harold I., Go, Alan S., He, Jiang, Rao, Panduranga S., Rahman, Mahboob, Townsend, Raymond R., Madrigal, Jessica M., Cedillo-Couvert, Esteban, Ricardo, Ana C., Appel, Lawrence J., Anderson, Cheryl A.M., Deo, Rajat, Hamm, L. Lee, Cornish-Zirker, Denise, Tan, Thida C., Sha, Daohang, Hsu, Jesse Y., Zenk, Shannon N., Saunders, Milda R., Persky, Victoria, and Lash, James P.

Published
2020
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