Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease

por Pena, Michelle J., Mischak, Harald, Heerspink, Hiddo J. L.
Publicado 2016

Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data

por Belur Nagaraj, Sunil, Pena, Michelle J., Ju, Wenjun, Heerspink, Hiddo L.
Publicado 2020

Individual variability in response to renin angiotensin aldosterone system inhibition predicts cardiovascular outcome in patients with type 2 diabetes: A primary care cohort study

por Apperloo, Ellen M., Pena, Michelle J., de Zeeuw, Dick, Denig, Petra, Heerspink, Hiddo J. L.
Publicado 2018

Implementing personalized medicine in diabetic kidney disease: Stakeholders' perspectives

por de Vries, Jeroen K., Levin, Adeera, Loud, Fiona, Adler, Amanda, Mayer, Gert, Pena, Michelle J.
Publicado 2018

Proteinuria and cholesterol reduction are independently associated with less renal function decline in statin-treated patients; a post hoc analysis of the PLANET trials

por Idzerda, Nienke M A, Pena, Michelle J, Parving, Hans-Henrik, de Zeeuw, Dick, Heerspink, Hiddo J L
Publicado 2019

Diabetes mellitus comorbidity in patients enrolled in tuberculosis drug efficacy trials around the world: A systematic review

por Lutfiana, Nurul Cholifah, van Boven, Job F.M., Masoom Zubair, Muhammad Asim, Pena, Michelle J., Alffenaar, Jan‐Willem C.
Publicado 2019

Thiazide diuretics and the rate of disease progression in autosomal dominant polycystic kidney disease: an observational study

por Kramers, Bart J, Koorevaar, Iris W, De Boer, Rudolf, Hoorn, Ewout J, Pena, Michelle J, Gansevoort, Ron T, Meijer, Esther
Publicado 2020

Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers

por Idzerda, Nienke M A, Stefansson, Bergur V, Pena, Michelle J, Sjostrom, David C, Wheeler, David C, Heerspink, Hiddo J L
Publicado 2019

Serum metabolites predict response to angiotensin II receptor blockers in patients with diabetes mellitus

por Pena, Michelle J., Heinzel, Andreas, Rossing, Peter, Parving, Hans-Henrik, Dallmann, Guido, Rossing, Kasper, Andersen, Steen, Mayer, Bernd, Heerspink, Hiddo J. L.
Publicado 2016

N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) predicts the cardio‐renal response to aliskiren in patients with type 2 diabetes at high renal and cardiovascular risk

por Idzerda, Nienke M. A., Persson, Frederik, Pena, Michelle J., Brenner, Barry M., Brunel, Patrick, Chaturvedi, Nish, McMurray, John J., Parving, Hans‐Henrik, de Zeeuw, Dick, Heerspink, Hiddo J. L.
Publicado 2018

A Panel of Novel Biomarkers Representing Different Disease Pathways Improves Prediction of Renal Function Decline in Type 2 Diabetes

por Pena, Michelle J., Heinzel, Andreas, Heinze, Georg, Alkhalaf, Alaa, Bakker, Stephan J. L., Nguyen, Tri Q., Goldschmeding, Roel, Bilo, Henk J. G., Perco, Paul, Mayer, Bernd, de Zeeuw, Dick, Lambers Heerspink, Hiddo J.
Publicado 2015

Perspectives on a Way Forward to Implementation of Precision Medicine in Patients With Diabetic Kidney Disease; Results of a Stakeholder Consensus-Building Meeting

por Bakker, Elisabeth, Mol, Peter G. M., Nabais, João, Vetter, Thorsten, Kretzler, Matthias, Nolan, John J., Mayer, Gert, Sundgren, Anna K., Heerspink, Hiddo J. L., Schiel, Anja, de Vries, Sieta T., Gomez, Maria F., Schulze, Friedrich, de Zeeuw, Dick, Pena, Michelle J.
Publicado 2021

Erratum to: COVID-19-related mortality in kidney transplant and dialysis patients: results of the ERACODA collaboration

por Hilbrands, Luuk B, Duivenvoorden, Raphaël, Vart, Priya, Franssen, Casper F M, Hemmelder, Marc H, Jager, Kitty J, Kieneker, Lyanne M, Noordzij, Marlies, Pena, Michelle J, de Vries, Hanne, Arroyo, David, Covic, Adrian, Crespo, Marta, Goffin, Eric, Islam, Mahmud, Massy, Ziad A, Montero, Nuria, Oliveira, João P, Roca Muñoz, Ana, Sanchez, J Emilio, Sridharan, Sivakumar, Winzeler, Rebecca, Gansevoort, Ron T
Publicado 2021

Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets

por Matsushita, Kunihiro, Jassal, Simerjot K, Sang, Yingying, Ballew, Shoshana H, Grams, Morgan E, Surapaneni, Aditya, Arnlov, Johan, Bansal, Nisha, Bozic, Milica, Brenner, Hermann, Brunskill, Nigel J, Chang, Alex R, Chinnadurai, Rajkumar, Cirillo, Massimo, Correa, Adolfo, Ebert, Natalie, Eckardt, Kai-Uwe, Gansevoort, Ron T, Gutierrez, Orlando, Hadaegh, Farzad, He, Jiang, Hwang, Shih-Jen, Jafar, Tazeen H, Kayama, Takamasa, Kovesdy, Csaba P, Landman, Gijs W, Levey, Andrew S, Lloyd-Jones, Donald M, Major, Rupert W., Miura, Katsuyuki, Muntner, Paul, Nadkarni, Girish N, Naimark, David MJ, Nowak, Christoph, Ohkubo, Takayoshi, Pena, Michelle J, Polkinghorne, Kevan R, Sabanayagam, Charumathi, Sairenchi, Toshimi, Schneider, Markus P, Shalev, Varda, Shlipak, Michael, Solbu, Marit D, Stempniewicz, Nikita, Tollitt, James, Valdivielso, José M, van der Leeuw, Joep, Wang, Angela Yee-Moon, Wen, Chi-Pang, Woodward, Mark, Yamagishi, Kazumasa, Yatsuya, Hiroshi, Zhang, Luxia, Schaeffner, Elke, Coresh, Josef
Publicado 2020