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1. Prevention of Cardiac Surgery–Associated Acute Kidney Injury by Implementing the KDIGO Guidelines in High-Risk Patients Identified by Biomarkers: The PrevAKI-Multicenter Randomized Controlled Trial

Author

Wim Vandenberghe, Fabrizio Monaco, Alexander Zarbock, Shrijit Nair, Carola Wempe, Gianluca Lucchese, Joachim Gerss, Jordi Miralles Bagan, Ronak Rajani, Gudrun Kunst, Lui G. Forni, Armando Cennamo, Hinnerk Wulf, Marlies Ostermann, Christina Massoth, Melanie Meersch, Camilla L'Acqua, John A. Kellum, Patrick M. Honore, Christian Arndt, Marc Irqsusi, Philippe Grieshaber, Stefano Italiano, Stuart McCorkell, Ambra Licia Di Prima, Mira Küllmar, Mercedes Garcia Alvarez, Kamran Baig, Raphael Weiss, and Eric Hoste

Subjects
Male, medicine.medical_specialty, Time Factors, Risk Assessment, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, Predictive Value of Tests, Risk Factors, 030202 anesthesiology, law, Internal medicine, Clinical endpoint, Humans, Medicine, Cardiac Surgical Procedures, Aged, Tissue Inhibitor of Metalloproteinase-2, business.industry, Acute kidney injury, Absolute risk reduction, Guideline, Acute Kidney Injury, Middle Aged, medicine.disease, Confidence interval, Cardiac surgery, Europe, Insulin-Like Growth Factor Binding Proteins, Treatment Outcome, Anesthesiology and Pain Medicine, Practice Guidelines as Topic, Feasibility Studies, Female, Guideline Adherence, business, Biomarkers, Patient Care Bundles, 030217 neurology & neurosurgery, Kidney disease
Abstract

BACKGROUND: Prospective, single-center trials have shown that the implementation of the Kidney Disease: Improving Global Outcomes (KDIGO) recommendations in high-risk patients significantly reduced the development of acute kidney injury (AKI) after surgery. We sought to evaluate the feasibility of implementing a bundle of supportive measures based on the KDIGO guideline in high-risk patients undergoing cardiac surgery in a multicenter setting in preparation for a large definitive trial. METHODS: In this multicenter, multinational, randomized controlled trial, we examined the adherence to the KDIGO bundle consisting of optimization of volume status and hemodynamics, functional hemodynamic monitoring, avoidance of nephrotoxic drugs, and prevention of hyperglycemia in high-risk patients identified by the urinary biomarkers tissue inhibitor of metalloproteinases-2 [TIMP-2] and insulin growth factor-binding protein 7 [IGFBP7] after cardiac surgery. The primary end point was the adherence to the bundle protocol and was evaluated by the percentage of compliant patients with a 95% confidence interval (CI) according to Clopper-Pearson. Secondary end points included the development and severity of AKI. RESULTS: In total, 278 patients were included in the final analysis. In the intervention group, 65.4% of patients received the complete bundle as compared to 4.2% in the control group (absolute risk reduction [ARR] 61.2 [95% CI, 52.6-69.9]; P < .001). AKI rates were statistically not different in both groups (46.3% intervention versus 41.5% control group; ARR -4.8% [95% CI, -16.4 to 6.9]; P = .423). However, the occurrence of moderate and severe AKI was significantly lower in the intervention group as compared to the control group (14.0% vs 23.9%; ARR 10.0% [95% CI, 0.9-19.1]; P = .034). There were no significant effects on other specified secondary outcomes. CONCLUSIONS: Implementation of a KDIGO-derived treatment bundle is feasible in a multinational setting. Furthermore, moderate to severe AKI was significantly reduced in the intervention group.

Published
2021
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2. EPIdemiology of Surgery-Associated Acute Kidney Injury (EPIS-AKI): study protocol for a multicentre, observational trial

Author

Weiss, Raphael, Saadat-Gilani, Khaschayar, Kerschke, Laura, Wempe, Carola, Meersch, Melanie, Zarbock, Alexander Hichem Makhloufi, Anis, Cherak, Lamine Lakhel Ghanem, Zohier, Gouaglia, Dina Nasrine Guadouri, Fayrouz Naouel Hama, Mustafa, Kara, Omayma, Saadi, Rachida, Sakhraoui, Fadila, Bourou, Abdelhadi, Cherifi, Rahmoune Ghania Sadaoui, Amel, Ouyahia, Ilhem, Ouahab, Souad, Bouaoud, Meriem, Abdoun, Anisse, Tidjane, Benali, Tabeti, Nabil, Boudjenan-Serradj, Carlos Jose Pérez Rivera, Paulo, Cabrer, Julián, Corso, Juan Pablo García, Sharon, Idarraga, Christopher, Montoya, Rafael, Figueroa, Eduar, Aldana, María Alejandra Torrado, Peng, Ke, Zheng-Min, Ma, Yu-Fan, Yang, Ya-Juan, Zhu, Peter, Sklienka, Michal, Frelich, Vojtech, Jarkulis, Pavel, Sevcik, Vojtech, Vodicka, Mohamed Gamal Elbahnasawy, Shady, Elsalhawy, Sara, Motawea, Zeinab, Othman, Mohamed, Sahma, Ahmed Mahmoud Nafea, Nermin, Ahmed, Doaa Ali Attia, Moataz Maher Emara, Mohamed Mamdouh Bonna, Mohamed Ahmed Gabr, Amany Ismail Tarbay, Ibrahim Abdelmonaem Abdehaleem, Esraa Elsayed Mohamed, Amr Mahmoud Eldeeb, Ahmed Mohamed Abbas, John Ashraf Magdy, Zyad Hassan Hamed, Hany Mostafa Esmaeil Osman, Mostafa Samy Abbas, Oliver, Joannes-Boyau, Nicolas, Barraud, Corentin, Berthelot, Thibault, Camus, Anissa, Dahmi, Mylène, Defaye, Sébastien, Derville, Younes, El-Boustani, Elsa, Deloge, Hélène, Jacob, Simon, Monziols, Fred, Priem, Jean-Jacques, Robin, Vincent, Legros, Therry, Floch, Salvatore, Muccio, Claire, Geneve, Marie Lim Legouge, Stéphanie Tao Mauny, Willy, Mfam, Léa, Pascot, Christophe, Aveline, Mireille, Chartier, Benjamin, Duteurtre, Jean Francois Gautier, Aidren Le Cousin, Pierre, Vautier, Julien, Nadaud, Nathalie, Begel, Claire-Annissa, Chekirine, Vincent, Derlon, Elodie, Grein, Marie-Annick, Lehair, Laurent, Magazzeni, Philippe, Magazzeni, Carsten, Potter, Catherine, Roth, Florence, Voivret, Thomas, Rimmelé, Valérie, Cerro, Stéphanie, Suria, Jamil, Elmawieh, Annabelle, Stoclin, Cédric, Cirenei, Gregoire, Andrieu, Sven, Couloumy, Jeremy, Falcone, Marion, Fajardy, Arsène, Gagneuil, Emeline, Girardet, Agnès, Mazereeuw, Sébastien, Ponsonnard, Pierre-Yves, Egreteau, Mélanie, Bertel, Simon, Bocher, Vanessa, Carn, Lenaïg Le Guen, Guillaume Le Loup, Montaine, Lefevre, Carole, Ichai, Amanita, Diop, Vanessa, Jean-Michel, Sylvie, Devlieger, Juliette, Duthoit, Mohamed El Kadiri, Maxime, Léger, Viviane, Cassisa, Sigismond, Lasocki, Charline, Masson, Emmanuel, Rineau, Pierre, Verrier, Axel, Coquerel, Philippe, Montravers, Enora, Atchade, Charles-Edouard, Rochon, Céline, Delerue, Vidal, Quentin, Vanessa, Latry, Nina, Queixalos, Vincent, Cottenceau, Thierry, Braun, Saad, Bouzoubaa, Basile, Christ, Audrey, Geiger, Joachim, Gomille, Vianney, Kieffer, Simone, Mangeant, Christelle, Prochilo, Christian, Schmitt, Stefan, Skwirba, Hubert, Grand, Frédérique, Boury, Nicolas, Mayeur, Marie, Pasquie, Pierre, Garçon, Vincent, Bruckert, Vincent, Arnould, Mona, Bonciu, Thibault, Chapelle, Luc, Facchino, Florence, Fagot-Gandet, Andrea, Iachim, Elena, Mannu, Olivier, Perus, Rémi, Plattier, Romain, Rozier, Gaël, Pradel, Michel, Boudinaud, Marie-Hélène, Hausermann, My Hue Nguyen, Andersen, Ramorasata, Amélie, Barreau, Anne-Hélène, Boivin, Céline, Ravry, Nicolas, Mottard, Johanne, Beuvelot, Florence Prunier Bossion, Olivier, Desebbe, Alexander, Zarbock, Christian, Dörr, Thilo Caspar von Groote, Mira, Küllmar, Christina, Massoth, Melanie, Meersch, Khaschayar, Saadat-Gilani, Raphael, Weiss, Carola, Wempe, Sebastian, Ziemann, Linda, Grüßer, Ana, Kowark, Pia, Wittig, Timo, Brandenburger, Thomas, Dimski, Niklas, Döhmen, Laura, Huthmann, Daniela, Kaierle, Claude, Pelletier, Manon, Schleß, Andreas, Hohn, Sebastian, Cleophas, Stephanie, Haunhorst, Marina, Jansen, Alexandra, Schmitt, Julia, Soisch, Kilian, Sturm, Peter, Rosenberger, Alexander, Bendig, Lena, Flohr, Helene, Häberle, Pascal, Hofmann, Jonathan, Kuhle, Nora Michaela Leser, Kathrin, Pfister, Stefanie, Prohaska, Franziska, Sennholz, Lena, Stetz, Kathrin, Weber, Sebastian, Stehr, Stephan, Klaus, Marco, Sadlo, Matthias, Boschin, Christian, Sengelhoff, Ulrich Michael Göbel, Jan Gerrit Haaker, Carina-Kristin, Göttker, Matthias, Gründel, Matthias, Heringlake, Romina, Baumgärtel, Astrid, Berggren, Madeleine, Gülzow, Lennart, Muras, Hauke, Paarmann, Serge, Thal, Alexander, Bentley, Dschamil, El-Masri, Anne, Sebastiani, Eleni, Arnaoutoglou, Maria, Ntalouka, Paula, Stratigopoulou, Anastasia, Analytis, Efthymios, Mavrommatis, Petros, Tzimas, Agathi, Karakosta, Danai, Pantazi, Antonia, Dimakopoulou, Katerina, Dimitropoulou, Orestis, Ioannidis, Humam, Jalaawiy, Aeshah, Anwar, Hashim Talib Hashim, Hogir Imad Rasheed Aldawoody, Andrea, Cortegiani, Giulia, Catalisano, Gilia, Ingoglia, Mariachiara, Ippolito, De Rosa, Silvia, Lucia, Cattin, Andrea, Bianchin, Marisa, Barone, Gianluca, Paternoster, Salvatore Lucio Cutuli, Andrea, Russo, Liliana, Sollazzi, Laura, Cascarano, Massimo, Antonelli, Paola, Aceto, Bruno, Romanò, Savino, Spadaro, Vincenzo Francesco Tripodi, Michele, Rossi, Rosamaria, Scappatura, Maria Cristina Vadalà, Diego, Fiume, Maria Teresa Strano, Giulia, Oddo, Clemente, Santorsola, Bilal Abu Hussain, Adnan Raed Alnaser, Anas Hassouneh Ghassan, Khaled, Hasanein, Mohammed, Theab, Seokyung, Shin, Seungho, Jung, Kyuho, Lee, Sung Mee Jung, Jongyoon, Baek, Muhammed, K Elhadi, Issa, Abuzeid, Mohammed, Albaraesi, Sarah, Aldressi, Wegdan, Khalel, Eman, Abdulwahed, Akram Abdulhamid Ashur Abujrad, Amer, Almaghrabi, Muhand Mohammed Alteleeb, Entisar Ahmed Ali Alshareea, Marwa Isa Biala, Abdulqudus, Deeknah, Dooua Ali Gheddim, Reem, Ghmagh, Nawras Salih Ali AbuIkhrays, Marwa, Sinan, Enas, Soula, Sumayyah Ghayth Bahroun, Khawla, Derwish, Aya Munir Mohamed, Eman Sayed Younes, Rayet Al Islam Benjouira, Mohamed, Aliwa, Najwa Abdullah Altashani, Mohammed Omar Alteb, Ahmed, Msherghi, Fatima, Alagelli, Sufyan, Albarouni, Ahmed, Albishti, Sarah, Aljamal, Mohamed, Alsori, Taha, Ekhuja, Suha, Elzwai, Mohammed, Ghula, Tahani, Mustafa, Ahmed, Tuwaib, Haifa, Zriba, Hamza Mahmoud Agilla, Toky Andriamahefa Rafanomezantsoa, Anne Marie Camilleri Podesta, Denise Mifsud Bonnici, Tiziana, Pirotta, Gilberto Adrián Gasca López, Maja Mojsova Mijovska, Tatjana, Davitkovska, Aleksandra, Gavrilovska, Sanja, Lukikj, Marija, Vesova, Dina, Zafirova, Sarah, Amro, Baraa N, F Hajjaj, Muawia, Alkhazendar, Yousuf, Barakat, Sewar Abdulaziz Elejla, Ahmed, Elhissi, Ahmed, Khader, Ali, Salem, Rita de Freitas Regufe, André Filipe de Oliveira Eloy, Lisbete Marisa Neto Cordeiro Perdigão, Evgeny, Grigoriev, Artem, Ivkin, Roman, Kornelyuk, Michael, Yaroustovsky, Marina, Abramyan, Ekaterina, Komardina, Nataliya, Lesteva, Medina, Aybazova, Elmira, Kumykova, Svetlana, Lesina, Gennady, Rybakov, Alexey, Shestov, Abdulnaser Ahmad Ahmad Barmou, Bushra Lotfi Altayeb Ahmed, Aisha Mohammad Eliyas, Yousra, Emadeldin, Alexander, Kaserer, Clara, Castellucci, Julian, Rössler, Samira, Akbas, Andreja Möller Petrun, Irena, Gregorcic, Vesna, Sok, Roman, Čičak, Elizabeth, Bárcena, Antonio, Guisado, Ismail, Wi, Javier Ripollés Melchor, Ángel, Becerra-Bolaños, Sergio, Cabrera-Doreste, Ancor, Domínguez-Arbelo, María Candelaria Delgado-Alonso, Virginia, Muiño-Palomar, Aurelio, Rodríguez-Pérez, Javier Mata Estévez, Maria Begona Covas Munoz, Juan Mulet Matas, Sara Perez Palao, Maria Dolores Mira Quirós, Alisia Cezara Teslev, Mercedes Garcia Alvarez, Marga, Argilaga, María, Campos, Albert, Bainac, Astrid, Batalla, Marta, Giné, Gracia, Herránz, Ignacio, Hinojal, Margarita Logroño Ejea, Noelia de la Rosa Ruiz, María Gastaca Abasolo, Carla Rosario Houhton Acuna, Ibai Iriarte Zaranton, Ana, Mendigurenmurua, María José Munoz Sanz, Erika Olea de la Fuente, María Pilar Pérez Vaquero, Ana Soto Iglesias, Ana Ugarte Mieres, Alaitz Urtiaga Urrestizala, Lourdes, Ferreira, Félix, Lobato, Marta Aguado Sevilla, Andres, Erazo, Pere, Miró, Sergi, Sabaté, Diana, Vernetta, Berta Castellano Paulis, Anabel Adell Perez, Marta Aseguinolaza Pagola, Elena delVal Peciña, Ainhoa Garmendia Odriozola, Amaia Lopetegi Aizpurua, Olatz Pavón Piquer, Pilar Plou Garcia, Paula Ortega Rezola, Antia Osorio Lopez, Isabel de la Calle Gil, Rosalía Navarro Casado, Peter, Adamove, Roser Bayona Domenge, Francho Miguel Blasco Blasco, Adriana Alexandra Rueda Villamizar, Maria Antonia Perelló Llaneras, Jose Ignacio García-Sánchez, Laura Fernandez Téllez, Sara García Zamorano, Natalia Gijón Herreros, Andrea Rodriguez Esteve, Pablo Monedero Rodríguez, Isabel García Trigo, Agustín, Alcaraz, Andrea Lara Jiménez, Iñigo, Rubio, Nuria, García, Raquel, Callejas, Angel Manuel Candela Toha, Eli, Claros, Pilar, Cobeta, Pascual, Crespo, Trini, Dorado, Elena, Elías, Javier, Felices, Diego, Gil, María, Gómez, Nuria, Mané, María, Martín, Adolfo, Martínez, Lucía, Pereira, Alberto Balvis Noemí Samaranch, Ana, Serrano, Carlos, Tiscar, Judith, Villahoz, Patricia Galán Menéndez, Elena, Cardona, Anna, Conesa, Veronica, Estepa, Patricia, Galán, Laura Llinares Espí, Yuri Loaiza Aldeán, Susana, Manrique, Víctor Morales Ariza, Laura Villarino Villa, Elfayadh Saidahmed Mohamed Amed Suliman, Hytham, Hamid, Ahmed Mohamed Ibrahim, Modather Mohamed Saeed, Orhan Sungur Mukadder, Demet, Altun, Nur, Canbolat, Müşerref Beril Dinçer, Tulay Özkan Seyhan, Serap Aktaş Yıldırım, Müzeyyen, İyigün, Davut, Yapıcı, Levent, Özdemir, Aslinur, Sagun, Neval, Boztug, Yesim, Cetintas, Bora, Dinc, Emel, Gündüz, Hakkı, Ünlügenç, Demet Lafli Tunay, Deniz, Karakaya, Burhan, Dost, Ozgur, Komurcu, Özlem Korkmaz Dilmen, Eren Fatma Akcil, Yusuf, Tunali, Gülay, Ok, Eda Tok Alsina, Özge, Hakli, Cengiz, Polat, Namigar, Turgut, Nurcan, Kızılcık, Özge, Köner, Öznur, Şen, Nurdan, Aydin, Burcu, Basaran, Emre Sertac Bingul, Yavuz, Gürkan, Kamil, Darcin, Semra, Ugur, Kemal Tolga Saracoglu, Asli, Demir, Özgök, Aysegül, Eda, Balci, Behic, Girgin, Aygun, Guler, Ümit, Karadeniz, Nihal, Özaslan, Yigit Özay Hülya, Namik, Ozcan, Aysun, Postaci, Mehmet, Sahap, Nevriye, Salman, Özlem, Sağır, Bulent, Atik, Murat, Bicakcioglu, Hafize Fisun Demir, Ugün, Fatih, Nazan, Kocaoglu, Hüseyin Ilksen Toprak, Duygu Demiröz Aslan, Yusuf Ziya Colak, Mustafa Soner Ozcan, Mehmet, Yilmaz, Umran, Karaca, Sevtap Hekimoglu Sahin, Özlem Ersoy Karka, Gizem Demir Şenoğlu, Süheyla Erkoç Karadağ, Neslihan, Alkis, Volkan, Baytaş, Engin, Erturk, Ali, Akdogan, Ahmet, Besir, Dilek, Kutanis, Sedat, Saylan, Ersagun, Tugcugil, Pinar, Ayvat, Berrin, Günaydın, Beyza Mehri Büyükgebiz, Omer Faruk Boran, Feyza, Calisir, Yavuz, Orak, Bahar Kuvaki Balkan, Sibel, Büyükcoban, Erol, Gökel, Sakize Ferim Günenc, Sule, Özbilgin, Suna, Göre, Selcan, Akesen, Seda, Cansabuncu, Natalia, Momot, Anna, Panchenko, Jean-Francois, Pittet, Kristen, Rutledge, Tıp Fakültesi, Weiss, R, Saadat-Gilani, K, Kerschke,L, Wempe,C, Meersch, M, Zarbock, A, Cortegiani, A, and Ippolito, M

Subjects
Epidemiology, urologic and male genital diseases, acute renal failure, Adult Intensive & Critical Care, Anaesthesia, Cohort Studies, surgery, chronic renal failure, Humans, Multicenter Studies as Topic, Prospective Studies, adult intensive & critical care, urogenital system, Incidence, General Medicine, Acute Kidney Injury, female genital diseases and pregnancy complications, critical care, Renal Replacement Therapy, Observational Studies as Topic, epidemiology, Acute Renal Failure, Surgery, adult intensive &amp, Chronic Renal Failure
Abstract

Sağır, Özlem (Balikesir Author), Introduction More than 300 million surgical procedures are performed each year. Acute kidney injury (AKI) is a common complication after major surgery and is associated with adverse short-term and long-term outcomes. However, there is a large variation in the incidence of reported AKI rates. The establishment of an accurate epidemiology of surgery-associated AKI is important for healthcare policy, quality initiatives, clinical trials, as well as for improving guidelines. The objective of the Epidemiology of Surgery-associated Acute Kidney Injury (EPIS-AKI) trial is to prospectively evaluate the epidemiology of AKI after major surgery using the latest Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI. Methods and analysis EPIS-AKI is an international prospective, observational, multicentre cohort study including 10 000 patients undergoing major surgery who are subsequently admitted to the ICU or a similar high dependency unit. The primary endpoint is the incidence of AKI within 72 hours after surgery according to the KDIGO criteria. Secondary endpoints include use of renal replacement therapy (RRT), mortality during ICU and hospital stay, length of ICU and hospital stay and major adverse kidney events (combined endpoint consisting of persistent renal dysfunction, RRT and mortality) at day 90. Further, we will evaluate preoperative and intraoperative risk factors affecting the incidence of postoperative AKI. In an add-on analysis, we will assess urinary biomarkers for early detection of AKI. Ethics and dissemination EPIS-AKI has been approved by the leading Ethics Committee of the Medical Council North Rhine-Westphalia, of the Westphalian Wilhelms-University Münster and the corresponding Ethics Committee at each participating site. Results will be disseminated widely and published in peer-reviewed journals, presented at conferences and used to design further AKI-related trials. Trial registration number NCT04165369. ©

Published
2021

3. Biomarker-guided implementation of the KDIGO guidelines to reduce the occurrence of acute kidney injury in patients after cardiac surgery (PrevAKI-multicentre): protocol for a multicentre, observational study followed by randomised controlled feasibility trial

Author

Neus Grau Novellas, Carola Wempe, Mercedes Garcia Alvarez, Melanie Meersch, Shrijit Nair, Wim Vandenberghe, John A. Kellum, Philippe Grieshaber, Michael Haffner, Virginia Cegarra SanMartin, Patrick M. Honore, Gudrun Kunst, Lui G. Forni, Camilla L'Acqua, Christina Massoth, Fabrizio Monaco, Mira Küllmar, Marc Irqsusi, Joachim Gerss, Marlies Ostermann, Stefano Italiano, Christian Arndt, Eric Hoste, Alexander Zarbock, Sara Campos, Ambra Licia Di Prima, Raphael Weiss, Gary Thomson, and Hinnerk Wulf

Subjects
medicine.medical_specialty, Time Factors, medicine.medical_treatment, International Cooperation, urologic and male genital diseases, acute renal failure, PREDICT, law.invention, Postoperative Complications, Randomized controlled trial, law, medicine, Clinical endpoint, Medicine and Health Sciences, Humans, Renal replacement therapy, Prospective Studies, Cardiac Surgical Procedures, adult intensive & critical care, business.industry, Tissue Extracts, Acute kidney injury, Intensive Care, General Medicine, Guideline, Acute Kidney Injury, medicine.disease, Clinical trial, Emergency medicine, Practice Guidelines as Topic, Feasibility Studies, Observational study, Guideline Adherence, Patient Participation, business, Biomarkers, cardiac surgery, Kidney disease
Abstract

IntroductionAcute kidney injury (AKI) is a frequent complication after cardiac surgery with adverse short-term and long-term outcomes. Although prevention of AKI (PrevAKI) is strongly recommended, the optimal strategy is uncertain. The Kidney Disease: Improving Global Outcomes (KDIGO) guideline recommended a bundle of supportive measures in high-risk patients. In a single-centre trial, we recently demonstrated that the strict implementation of the KDIGO bundle significantly reduced the occurrence of AKI after cardiac surgery. In this feasibility study, we aim to evaluate whether the study protocol can be implemented in a multicentre setting in preparation for a large multicentre trial.Methods and analysisWe plan to conduct a prospective, observational survey followed by a randomised controlled, multicentre, multinational clinical trial including 280 patients undergoing cardiac surgery with cardiopulmonary bypass. The purpose of the observational survey is to explore the adherence to the KDIGO recommendations in routine clinical practice. The second phase is a randomised controlled trial. The objective is to investigate whether the trial protocol is implementable in a large multicentre, multinational setting. The primary endpoint of the interventional part is the compliance rate with the protocol. Secondary endpoints include the occurrence of any AKI and moderate/severe AKI as defined by the KDIGO criteria within 72 hours after surgery, renal recovery at day 90, use of renal replacement therapy (RRT) and mortality at days 30, 60 and 90, the combined endpoint major adverse kidney events consisting of persistent renal dysfunction, RRT and mortality at day 90 and safety outcomes.Ethics and disseminationThe PrevAKI multicentre study has been approved by the leading Research Ethics Committee of the University of Münster and the respective Research Ethics Committee at each participating site. The results will be used to design a large, definitive trial.Trial registration numberNCT03244514.

Published
2020

4. Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy: A Systematic Review and Meta-analysis

Author

Zhongquing Chen, Hilde R H de Geus, John W. Pickering, Azrina Ralib, Rinaldo Bellomo, Cemil Kavalci, Fabrice Camou, Peter Buhl Hjortrup, Johan Mårtensson, Mikios Lipcsey, Mercedes Garcia-Alvarez, Claudio Ronco, Christian Röver, Thomas L. Nickolas, Tobias Breidthardt, Rodiger C. Braun-Dullaeus, Georgios Karaolanis, Michael Haase, Karian Soto, Mina Hur, Paola Lentini, Hanah Kim, Christoph Liebetrau, Anja Haase-Fielitz, Judith Heinz, Salvatore Di Somma, Dinna N. Cruz, Guillermo Rosa-Diez, Zoltan H. Endre, Annemarie Albert, Christian Albert, Serafim Nanas, Prasad Devarajan, Chrysoula Pipili, Antonia Zapf, Sidney Chocron, Christian Müller, Kent Doi, and Intensive Care

Subjects
renal risk assessment, medicine.medical_specialty, Kidney Disease, AKI prediction, urine NGAL, medicine.medical_treatment, Urinary system, Clinical Sciences, cut-off value, Renal and urogenital, 030232 urology & nephrology, Cochrane Library, Article, AKI requiring dialysis, 03 medical and health sciences, 0302 clinical medicine, plasma NGAL, Lipocalin-2, Clinical Research, Predictive Value of Tests, Renal Dialysis, Intensive care, Internal medicine, Humans, Medicine, 030212 general & internal medicine, Renal replacement therapy, Dialysis, screening and diagnosis, business.industry, Confounding, Acute kidney injury, neutrophil gelatinase-associated lipocalin, Urology & Nephrology, Acute Kidney Injury, medicine.disease, 3. Good health, meta-analysis, Detection, Good Health and Well Being, Nephrology, Meta-analysis, Public Health and Health Services, AKI biomarker, diagnostic accuracy, business, renal replacement therapy, Biomarkers, 4.2 Evaluation of markers and technologies
Abstract

Rationale & Objective: The usefulness of measures of neutrophil gelatinase-associated lipocalin (NGAL) in urine or plasma obtained on clinical laboratory platforms for predicting acute kidney injury (AKI) and AKI requiring dialysis (AKI-D) has not been fully evaluated. We sought to quantitatively summarize published data to evaluate the value of urinary and plasma NGAL for kidney risk prediction. Study Design: Literature-based meta-analysis and individual-study-data meta-analysis of diagnostic studies following PRISMA-IPD guidelines. Setting & Study Populations: Studies of adults investigating AKI, severe AKI, and AKI-D in the setting of cardiac surgery, intensive care, or emergency department care using either urinary or plasma NGAL measured on clinical laboratory platforms. Selection Criteria for Studies: PubMed, Web of Science, Cochrane Library, Scopus, and congress abstracts ever published through February 2020 reporting diagnostic test studies of NGAL measured on clinical laboratory platforms to predict AKI. Data Extraction: Individual-study-data meta analysis was accomplished by giving authors data specifications tailored to their studies and requesting standardized patient-level data analysis. Analytical Approach: Individual-study-data meta analysis used a bivariate time-to-event model for interval-censored data from which discriminative ability (AUC) was characterized. NGAL cutoff concentrations at 95% sensitivity, 95% specificity, and optimal sensitivity and specificity were also estimated. Models incorporated as confounders the clinical setting and use versus nonuse of urine output as a criterion for AKI. A literature-based meta-analysis was also performed for all published studies including those for which the authors were unable to provide individual-study data analyses. Results: We included 52 observational studies involving 13,040 patients. We analyzed 30 data sets for the individual-study-data meta-analysis. For AKI, severe AKI, and AKI-D, numbers of events were 837, 304, and 103 for analyses of urinary NGAL, respectively; these values were 705, 271, and 178 for analyses of plasma NGAL. Discriminative performance was similar in both meta-analyses. Individual-study-data meta-analysis AUCs for urinary NGAL were 0.75 (95% CI, 0.73-0.76) and 0.80 (95% CI, 0.79-0.81) for severe AKI and AKI-D, respectively; for plasma NGAL, the corresponding AUCs were 0.80 (95% CI, 0.790.81) and 0.86 (95% CI, 0.84-0.8 6). Cutoff concentrations at 95% specificity for urinary NGAL were >580 ng/mL with 27% sensitivity for severe AKI and >589 ng/mL with 24% sensitivity for AKI-D. Corresponding cutoffs for plasma NGAL were >364 ng/mL with 44% sensitivity and >546 ng/mL with 26% sensitivity, respectively. Limitations: Practice variability in initiation of dialysis. Imperfect harmonization of data across studies. Conclusions: Urinary and plasma NGAL concentrations may identify patients at high risk for AKI in clinical research and practice. The cutoff concentrations reported in this study require prospective evaluation.

Published
2020

5. Urinary Neutrophil Gelatinase-Associated Lipocalin as Predictor of Short- or Long-Term Outcomes in Cardiac Surgery Patients

Author

Neil J Glassford, Glenn M Eastwood, Antoni J. Betbese, M.ª Victoria Moral, Rinaldo Bellomo, Marta Argilaga, Jordi Ordoñez, Mercedes Garcia-Alvarez, Alfonso Martínez, Antoine G. Schneider, Satoshi Suzuki, and Victoria Baños

Subjects
Male, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Urinary system, law.invention, Cohort Studies, chemistry.chemical_compound, Postoperative Complications, Lipocalin-2, Predictive Value of Tests, law, Proto-Oncogene Proteins, Internal medicine, Cardiopulmonary bypass, medicine, Humans, Prospective Studies, Renal replacement therapy, Cardiac Surgical Procedures, Aged, Aged, 80 and over, Creatinine, Kidney, business.industry, Acute kidney injury, Middle Aged, medicine.disease, Lipocalins, Surgery, Cardiac surgery, Treatment Outcome, Anesthesiology and Pain Medicine, medicine.anatomical_structure, chemistry, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, Biomarkers, Acute-Phase Proteins, Kidney disease
Abstract

To determine the ability of urinary neutrophil gelatinase-associated lipocalin (uNGAL) to predict cardiac surgery-associated acute kidney injury (CSA-AKI), continuous renal replacement therapy (CRRT), mortality, and a composite outcome of major adverse kidney events at 365 days (MAKE365), and to investigate the influence of cardiopulmonary bypass (CPB) on NGAL release.A prospective observational study.A single-center university hospital.A cohort of 288 adult cardiac surgery patients.uNGAL was measured at baseline, immediately after surgery, and on days 1 and 2 postoperatively. The authors used the recent Kidney Disease Improving Global Outcomes consensus criteria to define CSA-AKI.CSA-AKI occurred in 36.1% of patients. uNGAL rapidly became significantly higher in patients who developed AKI, with peak value immediately after surgery (349.9 [76.6-1446.6] v 90.1 [20.8-328] ng/mg creatinine; p0.001). No measure of uNGAL (peak, postsurgery, day 1 or 2 postsurgery) accurately predicted CSA-AKI, CRRT, mortality, or MAKE365. However, immediately after surgery, CPB induced greater uNGAL release compared with off-pump surgery (265.5 µmol/L [71-989.6] v 48.7 ng/mg creatinine [17-129.8]; p0.001). Moreover, such early uNGAL release correlated with CPB duration (r = 0.505; p0.001) but not with peak serum creatinine values on day 3 or 7 after surgery.uNGAL had a limited predictive ability for CSA-AKI or other relevant clinical outcomes after cardiac surgery and appeared to be more closely related to the use and duration of CPB. Thus, its levels may represent the aggregate effect of an inflammatory response to CPB as well as a renal response to cardiac surgery and inflammation.

Published
2015
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