406 results on '"Brunskill, Nigel J."'
Search Results
2. Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease
- Author
-
Williams, Alexander T., Chen, Jing, Coley, Kayesha, Batini, Chiara, Izquierdo, Abril, Packer, Richard, Abner, Erik, Kanoni, Stavroula, Shepherd, David J., Free, Robert C., Hollox, Edward J., Brunskill, Nigel J., Ntalla, Ioanna, Reeve, Nicola, Brightling, Christopher E., Venn, Laura, Adams, Emma, Bee, Catherine, Wallace, Susan E., Pareek, Manish, Hansell, Anna L., Esko, Tõnu, Stow, Daniel, Jacobs, Benjamin M., van Heel, David A., Hennah, William, Rao, Balasubramanya S., Dudbridge, Frank, Wain, Louise V., Shrine, Nick, Tobin, Martin D., and John, Catherine
- Published
- 2023
- Full Text
- View/download PDF
3. Using the kidney failure risk equation to predict end-stage kidney disease in CKD patients of South Asian ethnicity: an external validation study
- Author
-
Maher, Francesca, Teece, Lucy, Major, Rupert W., Bradbury, Naomi, Medcalf, James F., Brunskill, Nigel J., Booth, Sarah, and Gray, Laura J.
- Published
- 2023
- Full Text
- View/download PDF
4. Kidney Function and Long-Term Risk of End-Stage Kidney Disease and Mortality in a Multiethnic Population
- Author
-
Ling, Suping, Xu, Gang, Zaccardi, Francesco, Khunti, Kamlesh, and Brunskill, Nigel J.
- Published
- 2023
- Full Text
- View/download PDF
5. Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study
- Author
-
Gasparini, Alessandro, Abrams, Keith R., Barrett, Jessica K., Major, Rupert W., Sweeting, Michael J., Brunskill, Nigel J., and Crowther, Michael J.
- Subjects
Statistics - Methodology - Abstract
Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated with the underlying disease severity: patients with worse conditions utilise health care more and may have worse biomarker values recorded. Traditional methods for analysing longitudinal data assume independence between observation times and disease severity; yet, with healthcare data such assumptions unlikely holds. Through Monte Carlo simulation, we compare different analytical approaches proposed to account for an informative visiting process to assess whether they lead to unbiased results. Furthermore, we formalise a joint model for the observation process and the longitudinal outcome within an extended joint modelling framework. We illustrate our results using data from a pragmatic trial on enhanced care for individuals with chronic kidney disease, and we introduce user-friendly software that can be used to fit the joint model for the observation process and a longitudinal outcome.
- Published
- 2018
- Full Text
- View/download PDF
6. Co‐treatment with erythropoietin derived HBSP and caspase‐3 siRNA: A promising approach to prevent fibrosis after acute kidney injury.
- Author
-
Wu, Yuanyuan, Wang, Yanan, Chen, Fei, Han, Cheng, Huang, Lili, Sai, Wenli, Fan, Yaping, Brunskill, Nigel J., and Yang, Bin
- Subjects
HIGH mobility group proteins ,DISEASE risk factors ,RENAL fibrosis ,ACUTE kidney failure ,SMALL interfering RNA - Abstract
Acute kidney injury (AKI) is a risk factor of chronic kidney disease, without specific treatment. This study investigated the effect of co‐treatment using erythropoietin‐derived helix B surface peptide (HBSP) and caspase‐3 small interfering RNA (CASP3siRNA) on preventing fibrosis post AKI in order to achieve better efficacy by different action mechanisms. Ischemia–reperfusion (IR) in mice was induced by clamping bilateral renal pedicles for 30 min followed by 2‐week reperfusion, with HBSP and/or CASP3siRNA administered at the onset of IR. Serum creatinine, apoptosis, active caspase‐3 and high mobility group protein B1 (HMGB1) in kidneys were decreased by HBSP, CASP3siRNA or both, with increased PCNA. α‐SMA expression and collagen I deposition were also reduced by CASP3siRNA and both. Most interestingly, the co‐treatment further reduced tubulointerstitial damage and fibrosis, but raised PCNA compared to CASP3siRNA. EPOR/βcR was reduced by HBSP, and positively correlated with Sirius red staining, whereas EPOR was unchanged. In TCMK‐1 cells, H2O2 raised apoptosis and α‐SMA were reduced by HBSP, while the same was occurred to HMGB1. However, HMGB1 was further increased by EPOR siRNA under H2O2 stimulation with/without HBSP treatment. In conclusion, this study demonstrated synergistic long‐term renoprotection post IR‐AKI by HBSP and CASP3siRNA, which may be due to co‐inhibiting inflammation and stimulating repair at early stage, and subsequently preventing fibrosis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
7. Intradialytic cycling does not exacerbate microparticles or circulating markers of systemic inflammation in haemodialysis patients
- Author
-
Highton, Patrick J., March, Daniel S., Churchward, Darren R., Grantham, Charlotte E., Young, Hannah M. L., Graham-Brown, Matthew P. M., Estruel, Seila, Martin, Naomi, Brunskill, Nigel J., Smith, Alice C., Burton, James O., and Bishop, Nicolette C.
- Published
- 2022
- Full Text
- View/download PDF
8. Grams ME, Sang Y, Ballew SH, et al, for the Chronic Kidney Disease Prognosis Consortium. Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int. 2018;93:1442–1451
- Author
-
Astor, Brad, Appel, Lawrence J, Levin, Adeera, Tang, Mila, Djurdjev, Ognjenka, Navaneethan, Sankar D, Jolly, Stacey E, Schold, Jesse D, Nally, Joseph V, Wheeler, David C, Emberson, Jonathan, Townend, John, Landray, Martin, Feldman, Harold I, Hsu, Chi-yuan, Lash, James P, Kalra, Philip A, Ritchie, James P, Maharajan, Raman, Middleton, Rachel J, O’Donoghue, Donal J, Eckardt, Kai-Uwe, Schneider, Markus P, Köttgen, Anna, Kronenberg, Florian, Bärthlein, Barbara, Chang, Alex R, Green, Jamie A, Kirchner, H Lester, Ho, Kevin, Marks, Angharad, Black, Corri, Prescott, Gordon J, Fluck, Nick, Nakayama, Masaaki, Miyazaki, Mariko, Yamamoto, Tae, Yamada, Wang, Angela Yee-Moon, Cheung, Sharon, Wong, Sharon, Chu, Jessie, Wu, Henry, Garg, Amit X, McArthur, Eric, Nash, Danielle M, Shalev, Varda, Chodick, Gabriel, Blankestijn, Peter J, Wetzels, Jack FM, van Zuilen, Arjan D, van den Brand, Jan A, Levey, Andrew S, Inker, Lesley A, Sarnak, Mark J, Tighiouart, Hocine, Zhang, Haitao, Stengel, Benedicte, Metzger, Marie, Flamant, Martin, Houillier, Pascal, Haymann, Jean-Philippe, Rios, Pablo G, Mazzuchi, Nelson, Gadola, Liliana, Lamadrid, Verónica, Sola, Laura, Collins, John F, Elley, C Raina, Kenealy, Timothy, Moranne, Olivier, Couchoud, Cecile, Vigneau, Cecile, Brunskill, Nigel J, Major, Rupert W, Shepherd, David, Medcalf, James F, Kovesdy, Csaba P, Kalantar-Zadeh, Kamyar, Molnar, Miklos Z, Sumida, Keiichi, Potukuchi, Praveen K, Heerspink, Hiddo JL, de Zeeuw, Dick, Brenner, Barry, Carrero, Juan Jesus, Gasparini, Alessandro, Qureshi, Abdul Rashid, Elinder, Carl-Gustaf, Visseren, Frank LJ, van der Graaf, Yolanda, Evans, Marie, Stendahl, Maria, Schön, Staffan, Segelmark, Mårten, Prütz, Karl-Göran, Naimark, David M, Tangri, Navdeep, and Mark, Patrick B
- Subjects
Renal and urogenital ,Chronic Kidney Disease Prognosis Consortium ,Clinical Sciences ,Urology & Nephrology - Abstract
The Chronic Kidney Disease (CKD) Prognosis Consortium is a collaborative author of the above-mentioned article. The CKD Prognosis Consortium investigators/collaborators are as follows: • African American Study of Kidney Disease and Hypertension (AASK): Brad Astor, Lawrence J. Appel; Canadian Study of Prediction of Death, Dialysis and Interim Cardiovascular Events (CanPREDDICT): Adeera Levin, Mila Tang, Ognjenka Djurdjev; Cleveland Clinic CKD Registry Study (CCF): Sankar D. Navaneethan, Stacey E. Jolly, Jesse D. Schold, Joseph V. Nally Jr.; Chronic Renal Impairment in Birmingham (CRIB): David C. Wheeler, Jonathan Emberson, John Townend, Martin Landray; Chronic Renal Insufficiency Cohort Study (CRIC): Harold I. Feldman, Chi-yuan Hsu, James P. Lash, Lawrence J. Appel; Chronic Renal Insufficiency Standards Implementation Study (CRISIS): Philip A. Kalra, James P. Ritchie, Raman Maharajan, Rachel J. Middleton, Donal J. O'Donoghue; German Chronic Kidney Disease Study (GCKD): Kai-Uwe Eckardt, Markus P. Schneider, Anna Köttgen, Florian Kronenberg, Barbara Bärthlein; Geisinger Health System: Alex R. Chang, Jamie A. Green, H. Lester Kirchner, Kevin Ho; Grampian Laboratory Outcomes, Morbidity and Mortality Studies – 2 (GLOMMS2): Angharad Marks, Corri Black, Gordon J. Prescott, Nick Fluck; Gonryo Study: Masaaki Nakayama, Mariko Miyazaki, Tae Yamamoto, Gen Yamada; Hong Kong CKD Studies: Angela Yee-Moon Wang, Sharon Cheung, Sharon Wong, Jessie Chu, Henry Wu; Ontario Institute for Clinical Evaluative Sciences, Provincial Kidney, Dialysis and Transplantation program (ICES KDT): Amit X. Garg, Eric McArthur, Danielle M. Nash; Maccabi Health System: Varda Shalev, Gabriel Chodick; Multifactorial Approach and Superior Treatment Efficacy in Renal Patients with the Aid of a Nurse Practitioner (MASTERPLAN): Peter J. Blankestijn, Jack F.M. Wetzels, Arjan D. van Zuilen, Jan A. van den Brand; Modification of Diet in Renal Disease Study (MDRD): Andrew S. Levey, Lesley A. Inker, Mark J. Sarnak, Hocine Tighiouart; Nanjing CKD Network Cohort Study (Nanjing CKD): Haitao Zhang; NephroTest Study (NephroTest): Benedicte Stengel, Marie Metzger, Martin Flamant, Pascal Houillier, Jean-Philippe Haymann; National Renal Healthcare Program – Uruguay (NRHP-URU): Pablo G. Rios, Nelson Mazzuchi, Liliana Gadola, Verónica Lamadrid, Laura Sola; New Zealand Diabetes Cohort Study (NZDCS): John F. Collins, C. Raina Elley, Timothy Kenealy; Parcours de Soins des Personnes Agées (PSPA): Olivier Moranne, Cecile Couchoud, Cecile Vigneau; Primary-Secondary Care Partnership to Prevent Adverse Outcomes in Chronic Kidney Disease (PSP CKD): Nigel J. Brunskill, Rupert W. Major, David Shepherd, James F. Medcalf; Racial and Cardiovascular Risk Anomalies in CKD Cohort (RCAV): Csaba P. Kovesdy, Kamyar Kalantar-Zadeh, Miklos Z. Molnar, Keiichi Sumida, Praveen K. Potukuchi; Reduction of Endpoints in Non-insulin Dependent Diabetes Mellitus with the Angiotensin II Antagonist Losartan (RENAAL): Hiddo J.L. Heerspink, Dick de Zeeuw, Barry Brenner; Stockholm CREAtinine Measurements Cohort (SCREAM): Juan Jesus Carrero, Alessandro Gasparini, Abdul Rashid Qureshi, Carl-Gustaf Elinder; Second Manifestations of ARTerial Disease Study (SMART): Frank L.J. Visseren, Yolanda van der Graaf; Swedish Renal Registry CKD Cohort (SRR CKD): Marie Evans, Maria Stendahl, Staffan Schön, Mårten Segelmark, Karl-Göran Prütz; Sunnybrook Cohort: David M. Naimark, Navdeep Tangri; West of Scotland CKD Study: Patrick B. Mark, Jamie P. Traynor, Colin C. Geddes, Peter C. Thomson.• CKD Prognosis Consortium Steering Committee: Alex R. Chang, Josef Coresh (Chair), Ron T. Gansevoort, Morgan E. Grams, Anna Köttgen, Andrew S. Levey, Kunihiro Matsushita, Mark Woodward, Luxia Zhang.• CKD Prognosis Consortium Data Coordinating Center: Shoshana H. Ballew (Assistant Project Director), Jingsha Chen (Programmer), Josef Coresh (Principal Investigator), Morgan E. Grams (Director of Nephrology Initiatives), Lucia Kwak (Programmer), Kunihiro Matsushita (Director), Yingying Sang (Lead Programmer), Aditya Surapaneni (Programmer), Mark Woodward (Senior Statistician).• Kidney Disease Improving Global Outcomes (KDIGO) Controversies Conference on Prognosis and Optimal Management of Patients with Advanced CKD: Kai-Uwe Eckardt (Conference Co-Chair), Brenda R. Hemmelgarn (Conference Co-Chair), David C. Wheeler (KDIGO Co-Chair), Wolfgang C. Winkelmayer (KDIGO Co-Chair), John Davis (CEO), Danielle Green (Managing Director), Michael Cheung (Chief Scientific Officer), Tanya Green (Communications Director), Melissa McMahan (Programs Director).
- Published
- 2018
9. Evans M, Grams ME, Sang Y, et al., for the Chronic Kidney Disease Prognosis Consortium. Risk factors for prognosis in patients with severely decreased GFR. Kidney Int Rep. 2018;3:625–637
- Author
-
Astor, Brad, Appel, Lawrence J, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Navaneethan, Sankar D, Jolly, Stacey E, Schold, Jesse D, Nally, Joseph V, Wheeler, David C, Emberson, Jonathan, Townend, John, Landray, Martin, Feldman, Harold I, Hsu, Chi-yuan, Lash, James P, Kalra, Philip A, Ritchie, James P, Maharajan, Raman, Alderson, Helen, Lane, Beverly, Eckardt, Kai-Uwe, Schneider, Markus P, Köttgen, Anna, Kronenberg, Florian, Bärthlein, Barbara, Chang, Alex R, Green, Jamie A, Kirchner, H Lester, Ho, Kevin, Marks, Angharad, Black, Corri, Prescott, Gordon J, Fluck, Nick, Nakayama, Masaaki, Miyazaki, Mariko, Yamamoto, Tae, Yamada, Wang, Angela Yee-Moon, Cheung, Sharon, Wong, Sharon, Chu, Jessie, Wu, Henry, Shalev, Varda, Chodick, Gabriel, Blankestijn, Peter J, Wetzels, Jack FM, van Zuilen, Arjan D, van den Brand, Jan A, Levey, Andrew S, Inker, Lesley A, Sarnak, Mark J, Tighiouart, Hocine, Zhang, Haitao, Stengel, Benedicte, Rios, Pablo G, Mazzuchi, Nelson, Gadola, Liliana, Lamadrid, Verónica, Sola, Laura, Collins, John F, Elley, C Raina, Kenealy, Timothy, Moranne, Olivier, Couchoud, Cecile, Vigneau, Cecile, Brunskill, Nigel J, Major, Rupert W, Shepherd, David, Medcalf, James F, Kovesdy, Csaba P, Kalantar-Zadeh, Kamyar, Molnar, Miklos Z, Sumida, Keiichi, Potukuchi, Praveen K, Heerspink, Hiddo JL, de Zeeuw, Dick, Brenner, Barry, Carrero, Juan Jesus, Barany, Peter, Qureshi, Abdul Rashid, Elinder, Carl-Gustaf, Visseren, Frank LJ, van der Graaf, Yolanda, Evans, Marie, Stendahl, Maria, Schön, Staffan, Segelmark, Mårten, Prütz, Karl-Göran, Naimark, David M, Tangri, Navdeep, Mark, Patrick B, Traynor, Jamie P, Geddes, Colin C, Thomson, Peter C, and Coresh, Josef
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Renal and urogenital ,Good Health and Well Being ,Chronic Kidney Disease Prognosis Consortium ,Biomedical and clinical sciences ,Health sciences - Abstract
[This corrects the article DOI: 10.1016/j.ekir.2018.01.002.].
- Published
- 2018
10. Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.
- Author
-
Kovesdy, Csaba P, Matsushita, Kunihiro, Sang, Yingying, Brunskill, Nigel J, Carrero, Juan J, Chodick, Gabriel, Hasegawa, Takeshi, Heerspink, Hiddo L, Hirayama, Atsushi, Landman, Gijs WD, Levin, Adeera, Nitsch, Dorothea, Wheeler, David C, Coresh, Josef, Hallan, Stein I, Shalev, Varda, Grams, Morgan E, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Woodward, Mark, Arima, Hisatomi, Perkovic, Vlado, Djurdjev, Ognjenka, Zhang, Luxia, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Tang, Mila, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Cirillo, Massimo, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Sarnak, Mark, Inker, Lesley, Roderick, Paul, Fletcher, Astrid, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Brunskill, Nigel, Major, Rupert, Shepherd, David, Medcalf, James, Gansevoort, Ron T, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kovesdy, Csaba, Kalantar-Zadeh, Kamyar, de Zeeuw, Dick, Brenner, Barry, Gasparini, Alessandro, Elinder, Carl-Gustaf, Barany, Peter, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Wen, Chi-Pang, and Tsao, Chwen-Keng
- Subjects
Kidney Disease ,Prevention ,Clinical Research ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Renal and urogenital ,Cardiovascular ,Good Health and Well Being ,Adult ,Aged ,Albuminuria ,Cardiovascular Diseases ,Cause of Death ,Comorbidity ,Glomerular Filtration Rate ,Humans ,Hyperkalemia ,Hypokalemia ,Kidney Failure ,Chronic ,Middle Aged ,Prognosis ,Renal Insufficiency ,Chronic ,Risk Factors ,Potassium ,Estimated glomerular filtration rate ,End-stage renal disease ,Mortality ,CKD Prognosis Consortium ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Cardiovascular System & Hematology - Abstract
AimsBoth hypo- and hyperkalaemia can have immediate deleterious physiological effects, and less is known about long-term risks. The objective was to determine the risks of all-cause mortality, cardiovascular mortality, and end-stage renal disease associated with potassium levels across the range of kidney function and evaluate for consistency across cohorts in a global consortium.Methods and resultsWe performed an individual-level data meta-analysis of 27 international cohorts [10 general population, 7 high cardiovascular risk, and 10 chronic kidney disease (CKD)] in the CKD Prognosis Consortium. We used Cox regression followed by random-effects meta-analysis to assess the relationship between baseline potassium and adverse outcomes, adjusted for demographic and clinical characteristics, overall and across strata of estimated glomerular filtration rate (eGFR) and albuminuria. We included 1 217 986 participants followed up for a mean of 6.9 years. The average age was 55 ± 16 years, average eGFR was 83 ± 23 mL/min/1.73 m2, and 17% had moderate- to-severe increased albuminuria levels. The mean baseline potassium was 4.2 ± 0.4 mmol/L. The risk of serum potassium of >5.5 mmol/L was related to lower eGFR and higher albuminuria. The risk relationship between potassium levels and adverse outcomes was U-shaped, with the lowest risk at serum potassium of 4-4.5 mmol/L. Compared with a reference of 4.2 mmol/L, the adjusted hazard ratio for all-cause mortality was 1.22 [95% confidence interval (CI) 1.15-1.29] at 5.5 mmol/L and 1.49 (95% CI 1.26-1.76) at 3.0 mmol/L. Risks were similar by eGFR, albuminuria, renin-angiotensin-aldosterone system inhibitor use, and across cohorts.ConclusionsOutpatient potassium levels both above and below the normal range are consistently associated with adverse outcomes, with similar risk relationships across eGFR and albuminuria.
- Published
- 2018
11. How to design and implement a university-based COVID-19 testing programme? An evaluation of a novel RT-LAMP COVID-19 testing programme in a UK university
- Author
-
Blackmore, Claire, Hall, Gareth W., Allsopp, Rebecca C., Hansell, Anna L., Cowley, Caroline M., Barber, Ruth C., Holmes, Christopher W., Tobin, Martin D., Shaw, Jacqui A., Brunskill, Nigel J., and Baker, Philip N.
- Published
- 2022
- Full Text
- View/download PDF
12. A randomized controlled trial to investigate the effects of intra-dialytic cycling on left ventricular mass
- Author
-
Graham-Brown, Matthew P.M., March, Daniel S., Young, Robin, Highton, Patrick J., Young, Hannah M.L., Churchward, Darren R., Dungey, Maurice, Stensel, David J., Bishop, Nicolette C., Brunskill, Nigel J., Smith, Alice C., McCann, Gerry P., McConnachie, Alex, and Burton, James O.
- Published
- 2021
- Full Text
- View/download PDF
13. Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets
- Author
-
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, and Coresh, Josef
- Published
- 2020
- Full Text
- View/download PDF
14. Intravenous sildenafil citrate and post-cardiac surgery acute kidney injury: a double-blind, randomised, placebo-controlled trial
- Author
-
Kumar, Tracy, Aujla, Hardeep, Woźniak, Marcin, Dott, Will, Sullo, Nikol, Joel-David, Lathishia, Pais, Paolo, Smallwood, Dawn, Miller, Douglas, Eagle-Hemming, Bryony, Di Paola, Ana Suazo, Barber, Shaun, Brookes, Cassandra, Brunskill, Nigel J., and Murphy, Gavin J.
- Published
- 2020
- Full Text
- View/download PDF
15. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies
- Author
-
Appel, Lawrence J, Greene, Tom, Chen, Teresa K, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Nally, Joseph, Navaneethan, Sankar D, Schold, Jesse D, Weldegiorgis, Misghina, Herrington, William G, Smith, Margaret, Hsu, C Yenchih, Hwang, Shih-Jen, Chang, Alex R, Kirchner, H. Lester, Green, Jamie A, Ho, Kevin, Marks, Angharad, Prescott, Gordon, Clark, Laura E, Fluck, Nick, Shalev, Varda, Chodick, Gabriel, Blankestijn, Peter J, Van Zuilen, Arjan, Van den Brand, Jan A, Sarnak, Mark J, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen G, Nadukuru, Rajiv, Metzger, Marie, Flamant, Martin, Houillier, Pascal, Haymann, Jean-Philippe, Froissart, Marc, Kenealy, Timothy, Elley, Raina C, Collins, John F, Drury, Paul L, Cuddeback, John K, Ciemins, Elizabeth L, Stempniewicz, Rich, Nelson, Robert G, Knowler, William C, Bakker, Stephen J, Major, Rupert W, Medcalf, James F, Shepherd, David, Barrett-Connor, Elizabeth, Bergstrom, Jaclyn, Ix, Joachim H, Molnar, Miklos Z, Sumida, Keiichi, de Zeeuw, Dick, Brenner, Barry, Qureshi, Abdul R, Elinder, Carl-Gustaf, Runesson, Bjorn, Evans, Marie, Segelmark, Marten, Stendahl, Maria, Schön, Staffan, Naimark, David M, Tangri, Navdeep, Sud, Maneesh, Hirayama, Atsushi, Ichikawa, Kazunobu, Bilo, Henk JG, Landman, Gijs WD, Van Hateren, Kornelis JJ, Kleefstra, Nanne, Hallan, Stein I, Ballew, Shoshana H, Chen, Jingsha, Kwak, Lucia, Surapaneni, Aditya, Parving, Hans-Henrik, Rodby, Roger A., Rohde, Richard D, Lewis, Julia B, Lewis, Edmund, Perrone, Ronald D, Abebe, Kaleab Z, Hou, Fan F, Xie, Di, Hunsicker, Lawrence G, Imai, Enyu, Kobayashi, Fumiaki, Makino, Hirofumi, Ito, Sadayoshi, Remuzzi, Giuseppe, Ruggenenti, Piero, Eckardt, Kai-Uwe, Gudmundsdottir, Hrefna, Maciulaitis, Romaldas, Manley, Tom, Smith, Kimberly, Stockbridge, Norman, Thompson, Aliza, Vetter, Thorsten, Willis, Kerry, Zhang, Luxia, Coresh, Josef, Heerspink, Hiddo J L, Sang, Yingying, Matsushita, Kunihiro, Arnlov, Johan, Astor, Brad C, Black, Corri, Brunskill, Nigel J, Carrero, Juan-Jesus, Feldman, Harold I, Fox, Caroline S, Inker, Lesley A, Ishani, Areef, Jassal, Simerjot, Konta, Tsuneo, Polkinghorne, Kevan, Romundstad, Solfrid, Solbu, Marit D, Stempniewicz, Nikita, Stengel, Benedicte, Tonelli, Marcello, Umesawa, Mitsumasa, Waikar, Sushrut S, Wen, Chi-Pang, Wetzels, Jack F M, Woodward, Mark, Grams, Morgan E, Kovesdy, Csaba P, Levey, Andrew S, and Gansevoort, Ron T
- Published
- 2019
- Full Text
- View/download PDF
16. Renal disease in pregnancy
- Author
-
Brunskill, Nigel J.
- Published
- 2019
- Full Text
- View/download PDF
17. Risk Factors for Prognosis in Patients With Severely Decreased GFR
- Author
-
Evans, Marie, Grams, Morgan E., Sang, Yingying, Astor, Brad C., Blankestijn, Peter J., Brunskill, Nigel J., Collins, John F., Kalra, Philip A., Kovesdy, Csaba P., Levin, Adeera, Mark, Patrick B., Moranne, Olivier, Rao, Panduranga, Rios, Pablo G., Schneider, Markus P., Shalev, Varda, Zhang, Haitao, Chang, Alex R., Gansevoort, Ron T., Matsushita, Kunihiro, Zhang, Luxia, Eckardt, Kai-Uwe, Hemmelgarn, Brenda, and Wheeler, David C.
- Published
- 2018
- Full Text
- View/download PDF
18. An innovative chemical adherence test demonstrates very high rates of non-adherence to oral cardio-metabolic medications
- Author
-
Osman, Hanad, primary, Lane, Dan, additional, Bernieh, Dennis, additional, Seidu, Samuel, additional, Patel, Prashanth, additional, Khunti, Kamlesh, additional, Brunskill, Nigel J., additional, Xu, Gang, additional, and Gupta, Pankaj, additional
- Published
- 2023
- Full Text
- View/download PDF
19. SARS-CoV-2 vaccine uptake in a multi-ethnic UK healthcare workforce: A cross-sectional study
- Author
-
Martin, Christopher A., Marshall, Colette, Patel, Prashanth, Goss, Charles, Jenkins, David R., Ellwood, Claire, Barton, Linda, Price, Arthur, Brunskill, Nigel J., Khunti, Kamlesh, and Pareek, Manish
- Subjects
Minorities -- Employment ,Medical personnel -- Statistics -- Health aspects ,Biological sciences - Abstract
Background Healthcare workers (HCWs) and ethnic minority groups are at increased risk of COVID-19 infection and adverse outcomes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination is now available for frontline UK HCWs; however, demographic/occupational associations with vaccine uptake in this cohort are unknown. We sought to establish these associations in a large UK hospital workforce. Methods and findings We conducted cross-sectional surveillance examining vaccine uptake amongst all staff at University Hospitals of Leicester NHS Trust. We examined proportions of vaccinated staff stratified by demographic factors, occupation, and previous COVID-19 test results (serology/PCR) and used logistic regression to identify predictors of vaccination status after adjustment for confounders. We included 19,044 HCWs; 12,278 (64.5%) had received SARS-CoV-2 vaccination. Compared to White HCWs (70.9% vaccinated), a significantly smaller proportion of ethnic minority HCWs were vaccinated (South Asian, 58.5%; Black, 36.8%; p < 0.001 for both). After adjustment for age, sex, ethnicity, deprivation, occupation, SARS-CoV-2 serology/PCR results, and COVID-19-related work absences, factors found to be negatively associated with vaccine uptake were younger age, female sex, increased deprivation, pregnancy, and belonging to any non-White ethnic group (Black: adjusted odds ratio [aOR] 0.30, 95% CI 0.26-0.34, p < 0.001; South Asian: aOR 0.67, 95% CI 0.62-0.72, p < 0.001). Those who had previously had confirmed COVID-19 (by PCR) were less likely to be vaccinated than those who had tested negative. Limitations include data being from a single centre, lack of data on staff vaccinated outside the hospital system, and that staff may have taken up vaccination following data extraction. Conclusions Ethnic minority HCWs and those from more deprived areas as well as younger staff and female staff are less likely to take up SARS-CoV-2 vaccination. These findings have major implications for the delivery of SARS-CoV-2 vaccination programmes, in HCWs and the wider population, and should inform the national vaccination programme to prevent the disparities of the pandemic from widening., Author(s): Christopher A. Martin 1,2, Colette Marshall 3, Prashanth Patel 4,5, Charles Goss 6, David R. Jenkins 7, Claire Ellwood 8, Linda Barton 9, Arthur Price 10, Nigel J. Brunskill [...]
- Published
- 2021
- Full Text
- View/download PDF
20. Corrigendum: HBSP improves kidney ischemia-reperfusion injury and promotes repair in properdin deficient mice via enhancing phagocytosis of tubular epithelial cells
- Author
-
Wu, Yuanyuan, primary, Huang, Lili, additional, Sai, Wenli, additional, Chen, Fei, additional, Liu, Yu, additional, Han, Cheng, additional, Barker, Joanna M., additional, Zwaini, Zinah D., additional, Lowe, Mark P., additional, Brunskill, Nigel J., additional, and Yang, Bin, additional
- Published
- 2023
- Full Text
- View/download PDF
21. Using the Kidney Failure Risk Equation to predict end-stage kidney disease in CKD patients of South Asian ethnicity: an external validation study
- Author
-
Maher, Francesca, primary, Teece, Lucy, additional, Major, Rupert W, additional, Bradbury, Naomi, additional, Medcalf, James F, additional, Brunskill, Nigel J, additional, Booth, Sarah, additional, and Gray, Laura J, additional
- Published
- 2023
- Full Text
- View/download PDF
22. HBSP improves kidney ischemia-reperfusion injury and promotes repair in properdin deficient mice via enhancing phagocytosis of tubular epithelial cells
- Author
-
Wu, Yuanyuan, primary, Huang, Lili, additional, Sai, Weili, additional, Chen, Fei, additional, Liu, Yu, additional, Han, Cheng, additional, Barker, Joanna M., additional, Zwaini, Zinah D., additional, Lowe, Mark P., additional, Brunskill, Nigel J., additional, and Yang, Bin, additional
- Published
- 2023
- Full Text
- View/download PDF
23. Aspirin and cardiovascular primary prevention in non-endstage chronic kidney disease: A meta-analysis
- Author
-
Major, Rupert W., Oozeerally, Issaam, Dawson, Simon, Riddleston, Helen, Gray, Laura J., and Brunskill, Nigel J.
- Published
- 2016
- Full Text
- View/download PDF
24. Renal disease in pregnancy
- Author
-
Hall, Matt and Brunskill, Nigel J.
- Published
- 2016
- Full Text
- View/download PDF
25. An Innovative Chemical Adherence Test Demonstrates Very High Rates of Nonadherence to Oral Cardio-Metabolic Medications
- Author
-
Osman, Hanad, Lane, Dan, Bernieh, Dennis, Seidu, Samuel, Patel, Prashanth, Khunti, Kamlesh, Brunskill, Nigel J., Xu, Gang, and Gupta, Pankaj
- Published
- 2023
- Full Text
- View/download PDF
26. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes : An Individual-Participant Data Meta-Analysis.
- Author
-
Grams, Morgan E, Coresh, Josef, Matsushita, Kunihiro, Ballew, Shoshana H, Sang, Yingying, Surapaneni, Aditya, Alencar de Pinho, Natalia, Anderson, Amanda, Appel, Lawrence J, Ärnlöv, Johan, Azizi, Fereidoun, Bansal, Nisha, Bell, Samira, Bilo, Henk J G, Brunskill, Nigel J, Carrero, Juan J, Chadban, Steve, Chalmers, John, Chen, Jing, Ciemins, Elizabeth, Cirillo, Massimo, Ebert, Natalie, Evans, Marie, Ferreiro, Alejandro, Fu, Edouard L, Larsson, Anders, Gutierrez, Orlando M, Herrington, William G, Hwang, Shih-Jen, Inker, Lesley A, Iseki, Kunitoshi, Jafar, Tazeen, Jassal, Simerjot K, Jha, Vivekanand, Kadota, Aya, Katz, Ronit, Köttgen, Anna, Konta, Tsuneo, Kronenberg, Florian, Lee, Brian J, Lees, Jennifer, Levin, Adeera, Looker, Helen C, Major, Rupert, Melzer Cohen, Cheli, Mieno, Makiko, Miyazaki, Mariko, Moranne, Olivier, Muraki, Isao, Naimark, David, Nitsch, Dorothea, Oh, Wonsuk, Pena, Michelle, Purnell, Tanjala S, Sabanayagam, Charumathi, Satoh, Michihiro, Sawhney, Simon, Schaeffner, Elke, Schöttker, Ben, Shen, Jenny I, Shlipak, Michael G, Sinha, Smeeta, Stengel, Benedicte, Sumida, Keiichi, Tonelli, Marcello, Valdivielso, Jose M, van Zuilen, Arjan D, Visseren, Frank L J, Wang, Angela Yee-Moon, Wen, Chi-Pang, Wheeler, David C, Yatsuya, Hiroshi, Yamagata, Kunihiro, Yang, Jae Won, Young, Ann, Zhang, Haitao, Zhang, Luxia, Levey, Andrew S, Gansevoort, Ron T, Grams, Morgan E, Coresh, Josef, Matsushita, Kunihiro, Ballew, Shoshana H, Sang, Yingying, Surapaneni, Aditya, Alencar de Pinho, Natalia, Anderson, Amanda, Appel, Lawrence J, Ärnlöv, Johan, Azizi, Fereidoun, Bansal, Nisha, Bell, Samira, Bilo, Henk J G, Brunskill, Nigel J, Carrero, Juan J, Chadban, Steve, Chalmers, John, Chen, Jing, Ciemins, Elizabeth, Cirillo, Massimo, Ebert, Natalie, Evans, Marie, Ferreiro, Alejandro, Fu, Edouard L, Larsson, Anders, Gutierrez, Orlando M, Herrington, William G, Hwang, Shih-Jen, Inker, Lesley A, Iseki, Kunitoshi, Jafar, Tazeen, Jassal, Simerjot K, Jha, Vivekanand, Kadota, Aya, Katz, Ronit, Köttgen, Anna, Konta, Tsuneo, Kronenberg, Florian, Lee, Brian J, Lees, Jennifer, Levin, Adeera, Looker, Helen C, Major, Rupert, Melzer Cohen, Cheli, Mieno, Makiko, Miyazaki, Mariko, Moranne, Olivier, Muraki, Isao, Naimark, David, Nitsch, Dorothea, Oh, Wonsuk, Pena, Michelle, Purnell, Tanjala S, Sabanayagam, Charumathi, Satoh, Michihiro, Sawhney, Simon, Schaeffner, Elke, Schöttker, Ben, Shen, Jenny I, Shlipak, Michael G, Sinha, Smeeta, Stengel, Benedicte, Sumida, Keiichi, Tonelli, Marcello, Valdivielso, Jose M, van Zuilen, Arjan D, Visseren, Frank L J, Wang, Angela Yee-Moon, Wen, Chi-Pang, Wheeler, David C, Yatsuya, Hiroshi, Yamagata, Kunihiro, Yang, Jae Won, Young, Ann, Zhang, Haitao, Zhang, Luxia, Levey, Andrew S, and Gansevoort, Ron T
- Abstract
IMPORTANCE: Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. OBJECTIVE: To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. DESIGN, SETTING, AND PARTICIPANTS: Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. EXPOSURES: The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). MAIN OUTCOMES AND MEASURES: The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. RESULTS: Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associ
- Published
- 2023
- Full Text
- View/download PDF
27. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study
- Author
-
Interne Geneeskunde Vasculaire, Circulatory Health, Mark, Patrick B., Carrero, Juan J., Matsushita, Kunihiro, Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Coresh, Josef, Surapaneni, Aditya, Brunskill, Nigel J., Chalmers, John, Chan, Lili, Chang, Alex R., Chinnadurai, Rajkumar, Chodick, Gabriel, Cirillo, Massimo, De Zeeuw, Dick, Evans, Marie, Garg, Amit X., Gutierrez, Orlando M., Heerspink, Hiddo J.L., Heine, Gunnar H., Herrington, William G., Ishigami, Junichi, Kronenberg, Florian, Lee, Jun Young, Levin, Adeera, Major, Rupert W., Marks, Angharad, Nadkarni, Girish N., Naimark, David M.J., Nowak, Christoph, Rahman, Mahboob, Sabanayagam, Charumathi, Sarnak, Mark, Sawhney, Simon, Schneider, Markus P., Shalev, Varda, Shin, Jung Im, Siddiqui, Moneeza K., Stempniewicz, Nikita, Sumida, Keiichi, Valdivielso, Jose M., Van Den Brand, Jan, Yee-Moon Wang, Angela, Wheeler, David C., Zhang, Lihua, Visseren, Frank L.J., Stengel, Benedicte, Interne Geneeskunde Vasculaire, Circulatory Health, Mark, Patrick B., Carrero, Juan J., Matsushita, Kunihiro, Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Coresh, Josef, Surapaneni, Aditya, Brunskill, Nigel J., Chalmers, John, Chan, Lili, Chang, Alex R., Chinnadurai, Rajkumar, Chodick, Gabriel, Cirillo, Massimo, De Zeeuw, Dick, Evans, Marie, Garg, Amit X., Gutierrez, Orlando M., Heerspink, Hiddo J.L., Heine, Gunnar H., Herrington, William G., Ishigami, Junichi, Kronenberg, Florian, Lee, Jun Young, Levin, Adeera, Major, Rupert W., Marks, Angharad, Nadkarni, Girish N., Naimark, David M.J., Nowak, Christoph, Rahman, Mahboob, Sabanayagam, Charumathi, Sarnak, Mark, Sawhney, Simon, Schneider, Markus P., Shalev, Varda, Shin, Jung Im, Siddiqui, Moneeza K., Stempniewicz, Nikita, Sumida, Keiichi, Valdivielso, Jose M., Van Den Brand, Jan, Yee-Moon Wang, Angela, Wheeler, David C., Zhang, Lihua, Visseren, Frank L.J., and Stengel, Benedicte
- Published
- 2023
28. Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP
- Author
-
Interne Geneeskunde Vasculaire, Nefro Vasculaire Geneeskunde, Circulatory Health, MS Interne Geneeskunde, Matsushita, Kunihiro, Kaptoge, Stephen, Hageman, Steven H.J., Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Surapaneni, Aditya, Sun, Luanluan, Arnlov, Johan, 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., Jassal, Simerjot K., 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., Nowak, Christoph, Ohkubo, Takayoshi, Pena, Michelle J., Polkinghorne, Kevan R., Sairenchi, Toshimi, Schaeffner, Elke, Schneider, Markus P., Shalev, Varda, Shlipak, Michael G., Solbu, Marit D., Stempniewicz, Nikita, Tollitt, James, Valdivielso, José M., Van Der Leeuw, Joep, Dorresteijn, Jannick A.N., Visseren, Frank L.J., Interne Geneeskunde Vasculaire, Nefro Vasculaire Geneeskunde, Circulatory Health, MS Interne Geneeskunde, Matsushita, Kunihiro, Kaptoge, Stephen, Hageman, Steven H.J., Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Surapaneni, Aditya, Sun, Luanluan, Arnlov, Johan, 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., Jassal, Simerjot K., 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., Nowak, Christoph, Ohkubo, Takayoshi, Pena, Michelle J., Polkinghorne, Kevan R., Sairenchi, Toshimi, Schaeffner, Elke, Schneider, Markus P., Shalev, Varda, Shlipak, Michael G., Solbu, Marit D., Stempniewicz, Nikita, Tollitt, James, Valdivielso, José M., Van Der Leeuw, Joep, Dorresteijn, Jannick A.N., and Visseren, Frank L.J.
- Published
- 2023
29. Correction: The Kidney Failure Risk Equation for prediction of end stage renal disease in UK primary care: An external validation and clinical impact projection cohort study
- Author
-
Major, Rupert W., Shepherd, David, Medcalf, James F., Xu, Gang, Gray, Laura J., and Brunskill, Nigel J.
- Subjects
Chronic kidney failure ,Biological sciences - Abstract
Author(s): Rupert W. Major, David Shepherd, James F. Medcalf, Gang Xu, Laura J. Gray, Nigel J. Brunskill Following the review of the open source data file mentioned in the Data [...]
- Published
- 2020
- Full Text
- View/download PDF
30. C-Peptide Signaling in the Kidney and Protection from Diabetic Nephropathy
- Author
-
Brunskill, Nigel J. and Sima, Anders A.F., editor
- Published
- 2012
- Full Text
- View/download PDF
31. Additional file 1 of How to design and implement a university-based COVID-19 testing programme? An evaluation of a novel RT-LAMP COVID-19 testing programme in a UK university
- Author
-
Blackmore, Claire, Hall, Gareth W., Allsopp, Rebecca C., Hansell, Anna L., Cowley, Caroline M., Barber, Ruth C., Holmes, Christopher W., Tobin, Martin D., Shaw, Jacqui A., Brunskill, Nigel J., and Baker, Philip N.
- Abstract
Additional file 1: Figure 1. Layout of testing centre, detailing testing booths and placement of testing equipment. Figure 2. Photo of individual testing booth and setup of equipment required.
- Published
- 2023
- Full Text
- View/download PDF
32. The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts
- Author
-
Grams, Morgan E., primary, Brunskill, Nigel J., additional, Ballew, Shoshana H., additional, Sang, Yingying, additional, Coresh, Josef, additional, Matsushita, Kunihiro, additional, Surapaneni, Aditya, additional, Bell, Samira, additional, Carrero, Juan J., additional, Chodick, Gabriel, additional, Evans, Marie, additional, Heerspink, Hiddo J.L., additional, Inker, Lesley A., additional, Iseki, Kunitoshi, additional, Kalra, Philip A., additional, Kirchner, H. Lester, additional, Lee, Brian J., additional, Levin, Adeera, additional, Major, Rupert W., additional, Medcalf, James, additional, Nadkarni, Girish N., additional, Naimark, David M.J., additional, Ricardo, Ana C., additional, Sawhney, Simon, additional, Sood, Manish M., additional, Staplin, Natalie, additional, Stempniewicz, Nikita, additional, Stengel, Benedicte, additional, Sumida, Keiichi, additional, Traynor, Jamie P., additional, van den Brand, Jan, additional, Wen, Chi-Pang, additional, Woodward, Mark, additional, Yang, Jae Won, additional, Wang, Angela Yee-Moon, additional, and Tangri, Navdeep, additional
- Published
- 2023
- Full Text
- View/download PDF
33. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study
- Author
-
Mark, Patrick B, primary, Carrero, Juan J, additional, Matsushita, Kunihiro, additional, Sang, Yingying, additional, Ballew, Shoshana H, additional, Grams, Morgan E, additional, Coresh, Josef, additional, Surapaneni, Aditya, additional, Brunskill, Nigel J, additional, Chalmers, John, additional, Chan, Lili, additional, Chang, Alex R, additional, Chinnadurai, Rajkumar, additional, Chodick, Gabriel, additional, Cirillo, Massimo, additional, de Zeeuw, Dick, additional, Evans, Marie, additional, Garg, Amit X, additional, Gutierrez, Orlando M, additional, Heerspink, Hiddo J L, additional, Heine, Gunnar H, additional, Herrington, William G, additional, Ishigami, Junichi, additional, Kronenberg, Florian, additional, Lee, Jun Young, additional, Levin, Adeera, additional, Major, Rupert W, additional, Marks, Angharad, additional, Nadkarni, Girish N, additional, Naimark, David M J, additional, Nowak, Christoph, additional, Rahman, Mahboob, additional, Sabanayagam, Charumathi, additional, Sarnak, Mark, additional, Sawhney, Simon, additional, Schneider, Markus P, additional, Shalev, Varda, additional, Shin, Jung-Im, additional, Siddiqui, Moneeza K, additional, Stempniewicz, Nikita, additional, Sumida, Keiichi, additional, Valdivielso, José M, additional, van den Brand, Jan, additional, Wang, Angela Yee-Moon, additional, Wheeler, David C, additional, Zhang, Lihua, additional, Visseren, Frank L J, additional, and Stengel, Benedicte, additional
- Published
- 2023
- Full Text
- View/download PDF
34. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis.
- Author
-
Grams, Morgan E., Coresh, Josef, Matsushita, Kunihiro, Ballew, Shoshana H., Sang, Yingying, Surapaneni, Aditya, Alencar de Pinho, Natalia, Anderson, Amanda, Appel, Lawrence J., Ärnlöv, Johan, Azizi, Fereidoun, Bansal, Nisha, Bell, Samira, Bilo, Henk J. G., Brunskill, Nigel J., Carrero, Juan J., Chadban, Steve, Chalmers, John, Chen, Jing, and Ciemins, Elizabeth
- Subjects
HEART failure ,GLOMERULAR filtration rate ,KIDNEY failure ,ALBUMINURIA ,CYSTATIN C ,PERIPHERAL vascular diseases ,ACUTE kidney failure - Abstract
Key Points: Question: Are lower values for estimated glomerular filtration rate (eGFR based on either creatinine alone or creatinine and cystatin C) and more severe albuminuria associated with adverse kidney and cardiovascular outcomes? Findings: In this retrospective individual-level data analysis of 27 503 140 individuals from 114 cohorts, lower eGFR and more severe albuminuria were each associated with higher rates of adverse kidney outcomes, including kidney failure with replacement therapy and acute kidney injury. Lower eGFR and more severe albuminuria also were associated with adverse cardiovascular outcomes, including cardiovascular mortality, heart failure, and atrial fibrillation. Meaning: Lower eGFR values and more severe albuminuria were associated with multiple adverse outcomes. Importance: Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. Objective: To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. Design, Setting, and Participants: Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. Exposures: The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). Main Outcomes and Measures: The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. Results: Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m
2 (SD, 22 mL/min/1.73 m2 ) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2 ) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years]). Conclusions and Relevance: In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations. This individual-participant data meta-analysis of 114 cohorts evaluates associations of lower estimated glomerular filtration rate (eGFR) based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
35. Identifying acute kidney injury in the community—a novel informatics approach
- Author
-
Xu, Gang, Player, Paul, Shepherd, David, and Brunskill, Nigel J.
- Published
- 2016
- Full Text
- View/download PDF
36. Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP
- Author
-
Matsushita, Kunihiro, primary, Kaptoge, Stephen, additional, Hageman, Steven H J, additional, Sang, Yingying, additional, Ballew, Shoshana H, additional, Grams, Morgan E, additional, Surapaneni, Aditya, additional, Sun, Luanluan, additional, Arnlov, Johan, additional, Bozic, Milica, additional, Brenner, Hermann, additional, Brunskill, Nigel J, additional, Chang, Alex R, additional, Chinnadurai, Rajkumar, additional, Cirillo, Massimo, additional, Correa, Adolfo, additional, Ebert, Natalie, additional, Eckardt, Kai-Uwe, additional, Gansevoort, Ron T, additional, Gutierrez, Orlando, additional, Hadaegh, Farzad, additional, He, Jiang, additional, Hwang, Shih-Jen, additional, Jafar, Tazeen H, additional, Jassal, Simerjot K, additional, Kayama, Takamasa, additional, Kovesdy, Csaba P, additional, Landman, Gijs W, additional, Levey, Andrew S, additional, Lloyd-Jones, Donald M, additional, Major, Rupert W, additional, Miura, Katsuyuki, additional, Muntner, Paul, additional, Nadkarni, Girish N, additional, Nowak, Christoph, additional, Ohkubo, Takayoshi, additional, Pena, Michelle J, additional, Polkinghorne, Kevan R, additional, Sairenchi, Toshimi, additional, Schaeffner, Elke, additional, Schneider, Markus P, additional, Shalev, Varda, additional, Shlipak, Michael G, additional, Solbu, Marit D, additional, Stempniewicz, Nikita, additional, Tollitt, James, additional, Valdivielso, José M, additional, van der Leeuw, Joep, additional, Wang, Angela Yee-Moon, additional, Wen, Chi-Pang, additional, Woodward, Mark, additional, Yamagishi, Kazumasa, additional, Yatsuya, Hiroshi, additional, Zhang, Luxia, additional, Dorresteijn, Jannick A N, additional, Di Angelantonio, Emanuele, additional, Visseren, Frank L J, additional, Pennells, Lisa, additional, and Coresh, Josef, additional
- Published
- 2022
- Full Text
- View/download PDF
37. Renal disease in pregnancy
- Author
-
Hall, Matt and Brunskill, Nigel J.
- Published
- 2013
- Full Text
- View/download PDF
38. Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis
- Author
-
de Jong, Valentijn M. T., Rousset, Rebecca Z., Antonio-Villa, Neftalí Eduardo, Buenen, Arnoldus G., van Calster, Ben, Bello-Chavolla, Omar Yaxmehen, Brunskill, Nigel J., Curcin, Vasa, Damen, Johanna A. A., Fermín-Martínez, Carlos A., Fernández-Chirino, Luisa, Ferrari, Davide, Free, Robert C., Gupta, Rishi K., Haldar, Pranabashis, Hedberg, Pontus, Korang, Steven Kwasi, Kurstjens, Steef, Kusters, Ron, Major, Rupert W., Maxwell, Lauren, Nair, Rajeshwari, Naucler, Pontus, Nguyen, Tri-Long, Noursadeghi, Mahdad, Rosa, Rossana, Soares, Felipe, Takada, Toshihiko, van Royen, Florien S., van Smeden, Maarten, Wynants, Laure, Modrák, Martin, Asselbergs, Folkert W., Linschoten, Marijke, Moons, Karel G. M., Debray, Thomas P. A., Wilde, Arthur A.M., Health Technology & Services Research, Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, ACS - Heart failure & arrhythmias, and Cardiology
- Subjects
Data Analysis ,Impact ,Models, Statistical ,Models ,Sars-cov-2 ,COVID-19 ,Humans ,General Medicine ,Hospital Mortality ,Statistical ,Prognosis - Abstract
ObjectiveTo externally validate various prognostic models and scoring rules for predicting short term mortality in patients admitted to hospital for covid-19.DesignTwo stage individual participant data meta-analysis.SettingSecondary and tertiary care.Participants46 914 patients across 18 countries, admitted to a hospital with polymerase chain reaction confirmed covid-19 from November 2019 to April 2021.Data sourcesMultiple (clustered) cohorts in Brazil, Belgium, China, Czech Republic, Egypt, France, Iran, Israel, Italy, Mexico, Netherlands, Portugal, Russia, Saudi Arabia, Spain, Sweden, United Kingdom, and United States previously identified by a living systematic review of covid-19 prediction models published inThe BMJ, and through PROSPERO, reference checking, and expert knowledge.Model selection and eligibility criteriaPrognostic models identified by the living systematic review and through contacting experts. A priori models were excluded that had a high risk of bias in the participant domain of PROBAST (prediction model study risk of bias assessment tool) or for which the applicability was deemed poor.MethodsEight prognostic models with diverse predictors were identified and validated. A two stage individual participant data meta-analysis was performed of the estimated model concordance (C) statistic, calibration slope, calibration-in-the-large, and observed to expected ratio (O:E) across the included clusters.Main outcome measures30 day mortality or in-hospital mortality.ResultsDatasets included 27 clusters from 18 different countries and contained data on 46 914patients. The pooled estimates ranged from 0.67 to 0.80 (C statistic), 0.22 to 1.22 (calibration slope), and 0.18 to 2.59 (O:E ratio) and were prone to substantial between study heterogeneity. The 4C Mortality Score by Knight et al (pooled C statistic 0.80, 95% confidence interval 0.75 to 0.84, 95% prediction interval 0.72 to 0.86) and clinical model by Wang et al (0.77, 0.73 to 0.80, 0.63 to 0.87) had the highest discriminative ability. On average, 29% fewer deaths were observed than predicted by the 4C Mortality Score (pooled O:E 0.71, 95% confidence interval 0.45 to 1.11, 95% prediction interval 0.21 to 2.39), 35% fewer than predicted by the Wang clinical model (0.65, 0.52 to 0.82, 0.23 to 1.89), and 4% fewer than predicted by Xie et al’s model (0.96, 0.59 to 1.55, 0.21 to 4.28).ConclusionThe prognostic value of the included models varied greatly between the data sources. Although the Knight 4C Mortality Score and Wang clinical model appeared most promising, recalibration (intercept and slope updates) is needed before implementation in routine care.
- Published
- 2022
- Full Text
- View/download PDF
39. The Kidney Failure Risk Equation for prediction of end stage renal disease in UK primary care: An external validation and clinical impact projection cohort study
- Author
-
Major, Rupert W., Shepherd, David, Medcalf, James F., Xu, Gang, Gray, Laura J., and Brunskill, Nigel J.
- Subjects
Albumin ,Medical research ,Organ transplantation ,Epidemiology ,Chronic kidney failure ,Kidney diseases ,Kidney failure ,Biological sciences - Abstract
Background The Kidney Failure Risk Equation (KFRE) uses the 4 variables of age, sex, urine albumin-to-creatinine ratio (ACR), and estimated glomerular filtration rate (eGFR) in individuals with chronic kidney disease (CKD) to predict the risk of end stage renal disease (ESRD), i.e., the need for dialysis or a kidney transplant, within 2 and 5 years. Currently, national guideline writers in the UK and other countries are evaluating the role of the KFRE in renal referrals from primary care to secondary care, but the KFRE has had limited external validation in primary care. The study's objectives were therefore to externally validate the KFRE's prediction of ESRD events in primary care, perform model recalibration if necessary, and assess its projected impact on referral rates to secondary care renal services. Methods and findings Individuals with 2 or more Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFR values < 60 ml/min/1.73 m.sup.2 more than 90 days apart and a urine ACR or protein-to-creatinine ratio measurement between 1 December 2004 and 1 November 2016 were included in the cohort. The cohort included 35,539 (5.6%) individuals (57.5% female, mean age 75.9 years, median CKD-EPI eGFR 51 ml/min/1.73 m.sup.2, median ACR 3.2 mg/mmol) from a total adult practice population of 630,504. Overall, 176 (0.50%) and 429 (1.21%) ESRD events occurred within 2 and 5 years, respectively. Median length of follow-up was 4.7 years (IQR 2.8 to 6.6). Model discrimination was excellent for both 2-year (C-statistic 0.932, 95% CI 0.909 to 0.954) and 5-year (C-statistic 0.924, 95% 0.909 to 0.938) ESRD prediction. The KFRE overpredicted risk in lower ( Conclusions In this cohort, the recalibrated KFRE accurately predicted the risk of ESRD at 2 and 5 years in primary care. Its introduction into primary care for referrals to secondary care renal services may lead to a reduction in unnecessary referrals, and earlier referrals in those who go on to develop ESRD. However, further validation studies in more diverse cohorts of the clinical impact projections and suggested referral criteria are required before the latter can be clinically implemented., Author(s): Rupert W. Major 1,2,3,*, David Shepherd 1, James F. Medcalf 2, Gang Xu 2,4, Laura J. Gray 1, Nigel J. Brunskill 2,4 Introduction Chronic kidney disease (CKD) is a [...]
- Published
- 2019
- Full Text
- View/download PDF
40. HBSP improves kidney ischemia-reperfusion injury and promotes repair in properdin deficient mice via enhancing phagocytosis of tubular epithelial cells.
- Author
-
Yuanyuan Wu, Lili Huang, Wenli Sai, Fei Chen, Yu Liu, Cheng Han, Barker, Joanna M., Zwaini, Zinah D., Lowe, Mark P., Brunskill, Nigel J., and Bin Yang
- Subjects
EPITHELIAL cells ,REPERFUSION injury ,ERYTHROPOIETIN receptors ,PHAGOCYTOSIS ,KIDNEY injuries - Abstract
Phagocytosis plays vital roles in injury and repair, while its regulation by properdin and innate repair receptor, a heterodimer receptor of erythropoietin receptor (EPOR)/p common receptor (βcR), in renal ischaemia-reperfusion (IR) remains unclear. Properdin, a pattern recognition molecule, facilitates phagocytosis by opsonizing damaged cells. Our previous study showed that the phagocytic function of tubular epithelial cells isolated from properdin knockout (P
KO ) mouse kidneys was compromised, with upregulated EPOR in IR kidneys that was further raised by PKO at repair phase. Here, helix B surface peptide (HBSP), derived from EPO only recognizing EPOR/βcR, ameliorated IR-induced functional and structural damage in both PKO and wild-type (WT) mice. In particular, HBSP treatment led to less cell apoptosis and F4/80+ macrophage infiltration in the interstitium of PKO IR kidneys compared to the WT control. In addition, the expression of EPOR/βcR was increased by IR in WT kidneys, and furthered increased in IR PKO kidneys, but greatly reduced by HBSP in the IR kidneys of PKO mice. HBSP also increased PCNA expression in IR kidneys of both genotypes. Moreover, iridium-labelled HBSP (HBSP-Ir) was localized mainly in the tubular epithelia after 17-h renal IR in WT mice. HBSP-Ir also anchored to mouse kidney epithelial (TCMK-1) cells treated by H2 O2 . Both EPOR and EPOR/ pcR were significantly increased by H2 O2 treatment, while further increased EPOR was showed in cells transfected with small interfering RNA (siRNA) targeting properdin, but a lower level of EPOR was seen in EPOR siRNA and HBSP-treated cells. The number of early apoptotic cells was increased by EPOR siRNA in H2 O2 -treated TCMK-1, but markedly reversed by HBSP. The phagocytic function of TCMK-1 cells assessed by uptake fluorescence-labelled E.coli was enhanced by HBSP dose-dependently. Our data demonstrate for the first time that HBSP improves the phagocytic function of tubular epithelial cells and kidney repair post IR injury, via upregulated EPOR/βcR triggered by both IR and properdin deficiency. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
41. Development and validation of prediction models of adverse kidney outcomes in the population with and without diabetes mellitus
- Author
-
Grams, Morgan E, primary, Brunskill, Nigel J, primary, Ballew, Shoshana H, primary, Sang, Yingying, primary, Coresh, Josef, primary, Matsushita, Kunihiro, primary, Surapaneni, Aditya, primary, Bell, Samira, primary, Carrero, Juan J, primary, Chodick, Gabriel, primary, Evans, Marie, primary, Heerspink, Hiddo JL, primary, Inker, Lesley A, primary, Iseki, Kunitoshi, primary, Kalra, Philip A, primary, Kirchner, H Lester, primary, Lee, Brian J, primary, Levin, Adeera, primary, Major, Rupert W, primary, Medcalf, James, primary, Nadkarni, Girish N, primary, Naimark, David MJ, primary, Ricardo, Ana C, primary, Sawhney, Simon, primary, Sood, Manish M, primary, Staplin, Natalie, primary, Stempniewicz, Nikita, primary, Stengel, Benedicte, primary, Sumida, Keiichi, primary, Traynor, Jamie P, primary, Brand, Jan van den, primary, Wen, Chi-Pang, primary, Woodward, Mark, primary, Yang, Jae Won, primary, Wang, Angela Yee-Moon, primary, Tangri, Navdeep, primary, and Consortium, the CKD Prognosis, primary
- Published
- 2022
- Full Text
- View/download PDF
42. Clinical prediction models for mortality in patients with covid-19:external validation and individual participant data meta-analysis
- Author
-
de Jong, Valentijn M T, Rousset, Rebecca Z, Antonio-Villa, Neftalí Eduardo, Buenen, Arnoldus G, Van Calster, Ben, Bello-Chavolla, Omar Yaxmehen, Brunskill, Nigel J, Curcin, Vasa, Damen, Johanna A A, Fermín-Martínez, Carlos A, Fernández-Chirino, Luisa, Ferrari, Davide, Free, Robert C, Gupta, Rishi K, Haldar, Pranabashis, Hedberg, Pontus, Korang, Steven Kwasi, Kurstjens, Steef, Kusters, Ron, Major, Rupert W, Maxwell, Lauren, Nair, Rajeshwari, Naucler, Pontus, Nguyen, Tri-Long, Noursadeghi, Mahdad, Rosa, Rossana, Soares, Felipe, Takada, Toshihiko, van Royen, Florien S, van Smeden, Maarten, Wynants, Laure, Modrák, Martin, Asselbergs, Folkert W, Linschoten, Marijke, Moons, Karel G M, Debray, Thomas P A, de Jong, Valentijn M T, Rousset, Rebecca Z, Antonio-Villa, Neftalí Eduardo, Buenen, Arnoldus G, Van Calster, Ben, Bello-Chavolla, Omar Yaxmehen, Brunskill, Nigel J, Curcin, Vasa, Damen, Johanna A A, Fermín-Martínez, Carlos A, Fernández-Chirino, Luisa, Ferrari, Davide, Free, Robert C, Gupta, Rishi K, Haldar, Pranabashis, Hedberg, Pontus, Korang, Steven Kwasi, Kurstjens, Steef, Kusters, Ron, Major, Rupert W, Maxwell, Lauren, Nair, Rajeshwari, Naucler, Pontus, Nguyen, Tri-Long, Noursadeghi, Mahdad, Rosa, Rossana, Soares, Felipe, Takada, Toshihiko, van Royen, Florien S, van Smeden, Maarten, Wynants, Laure, Modrák, Martin, Asselbergs, Folkert W, Linschoten, Marijke, Moons, Karel G M, and Debray, Thomas P A
- Abstract
OBJECTIVE: To externally validate various prognostic models and scoring rules for predicting short term mortality in patients admitted to hospital for covid-19.DESIGN: Two stage individual participant data meta-analysis.SETTING: Secondary and tertiary care.PARTICIPANTS: 46 914 patients across 18 countries, admitted to a hospital with polymerase chain reaction confirmed covid-19 from November 2019 to April 2021.DATA SOURCES: Multiple (clustered) cohorts in Brazil, Belgium, China, Czech Republic, Egypt, France, Iran, Israel, Italy, Mexico, Netherlands, Portugal, Russia, Saudi Arabia, Spain, Sweden, United Kingdom, and United States previously identified by a living systematic review of covid-19 prediction models published in The BMJ, and through PROSPERO, reference checking, and expert knowledge.MODEL SELECTION AND ELIGIBILITY CRITERIA: Prognostic models identified by the living systematic review and through contacting experts. A priori models were excluded that had a high risk of bias in the participant domain of PROBAST (prediction model study risk of bias assessment tool) or for which the applicability was deemed poor.METHODS: Eight prognostic models with diverse predictors were identified and validated. A two stage individual participant data meta-analysis was performed of the estimated model concordance (C) statistic, calibration slope, calibration-in-the-large, and observed to expected ratio (O:E) across the included clusters.MAIN OUTCOME MEASURES: 30 day mortality or in-hospital mortality.RESULTS: Datasets included 27 clusters from 18 different countries and contained data on 46 914patients. The pooled estimates ranged from 0.67 to 0.80 (C statistic), 0.22 to 1.22 (calibration slope), and 0.18 to 2.59 (O:E ratio) and were prone to substantial between study heterogeneity. The 4C Mortality Score by Knight et al (pooled C statistic 0.80, 95% confidence interval 0.75 to 0.84, 95% prediction interval 0.72 to
- Published
- 2022
43. sj-docx-1-tai-10.1177_20499361221074569 ��� Supplemental material for Predictors of adverse outcome in the first and second waves of the COVID-19 pandemic: results from a UK centre
- Author
-
Martin, Christopher A., Pan, Daniel, Hills, George, Modha, Deborah, Patel, Prashanth, Gray, Laura J., Jenkins, David R., Barton, Linda, Jones, William, Brunskill, Nigel J., Haldar, Pranab, Khunti, Kamlesh, and Pareek, Manish
- Subjects
110203 Respiratory Diseases ,111099 Nursing not elsewhere classified ,FOS: Clinical medicine ,111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences ,111403 Paediatrics ,111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified - Abstract
Supplemental material, sj-docx-1-tai-10.1177_20499361221074569 for Predictors of adverse outcome in the first and second waves of the COVID-19 pandemic: results from a UK centre by Christopher A. Martin, Daniel Pan, George Hills, Deborah Modha, Prashanth Patel, Laura J. Gray, David R. Jenkins, Linda Barton, William Jones, Nigel J. Brunskill, Pranab Haldar, Kamlesh Khunti and Manish Pareek in Therapeutic Advances in Infectious Disease
- Published
- 2022
- Full Text
- View/download PDF
44. Renal disease in pregnancy
- Author
-
Hall, Matt and Brunskill, Nigel J.
- Published
- 2010
- Full Text
- View/download PDF
45. Cardiovascular Risk Models in Chronic Kidney Disease: A Systematic Review and External Validation of Models
- Author
-
Major, Rupert W, primary, Grant, Robert, additional, Shepherd, David, additional, Medcalf, James F, additional, Jesus-Silva, Jorge, additional, Gray, Laura J, additional, and Brunskill, Nigel J, additional
- Published
- 2022
- Full Text
- View/download PDF
46. Predictors of adverse outcome in the first and second waves of the COVID-19 pandemic: results from a UK centre
- Author
-
Martin, Christopher A., primary, Pan, Daniel, additional, Hills, George, additional, Modha, Deborah, additional, Patel, Prashanth, additional, Gray, Laura J., additional, Jenkins, David R., additional, Barton, Linda, additional, Jones, William, additional, Brunskill, Nigel J., additional, Haldar, Pranab, additional, Khunti, Kamlesh, additional, and Pareek, Manish, additional
- Published
- 2022
- Full Text
- View/download PDF
47. Extended Cohort for E-health, Environment and DNA (EXCEED) COVID-19 focus
- Author
-
Lee, Paul H., primary, Guyatt, Anna L., additional, John, Catherine, additional, Ali, Altaf, additional, Wang, Xueyang, additional, Williams, Alexander T., additional, Zhao, Bo, additional, Batini, Chiara, additional, Bee, Catherine, additional, Adams, Emma, additional, Melbourne, Carl A., additional, Brightling, Christopher E., additional, Hsu, Ron, additional, Bethea, Jane, additional, Reeve, Nicola, additional, Ntalla, Ioanna, additional, Terry, Sarah, additional, Pareek, Manish, additional, Brunskill, Nigel J., additional, Barwell, Julian, additional, Hollox, Edward J., additional, Miola, Jose, additional, Wallace, Susan E., additional, Shepherd, David J., additional, Packer, Richard, additional, Venn, Laura, additional, Wain, Louise V., additional, Free, Robert C., additional, and Tobin, Martin D., additional
- Published
- 2021
- Full Text
- View/download PDF
48. Intradialytic cycling does not exacerbate microparticles or circulating markers of systemic inflammation in haemodialysis patients
- Author
-
Highton, Patrick J., primary, March, Daniel S., additional, Churchward, Darren R., additional, Grantham, Charlotte E., additional, Young, Hannah M. L., additional, Graham-Brown, Matthew P. M., additional, Estruel, Seila, additional, Martin, Naomi, additional, Brunskill, Nigel J., additional, Smith, Alice C., additional, Burton, James O., additional, and Bishop, Nicolette C., additional
- Published
- 2021
- Full Text
- View/download PDF
49. Design and implementation of a university-based COVID-19 testing programme: an observational study
- Author
-
Blackmore, Claire, primary, Hall, Gareth W, additional, Allsopp, Rebecca C, additional, Hansell, Anna L, additional, Cowley, Caroline M, additional, Barber, Ruth C, additional, Holmes, Christopher W, additional, Tobin, Martin D, additional, Shaw, Jacqui A, additional, Brunskill, Nigel J, additional, and Baker, Philip N, additional
- Published
- 2021
- Full Text
- View/download PDF
50. Seroprevalence of antibody to S1 spike protein following vaccination against COVID-19 in patients receiving hemodialysis: a call to arms
- Author
-
Billany, Roseanne E., Selvaskandan, Haresh, Adenwalla, Sherna F., Hull, Katherine L., March, Daniel S., Burton, James O., Bishop, Nicolette C., Carr, Edward J., Beale, Rupert, Tang, Julian W., Bird, Paul W., Holmes, Chris W., Baines, Richard, Brunskill, Nigel J., and Graham-Brown, Matthew P.M.
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.