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Your search keyword '"Medcalf, James"' showing total 13 results
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13 results on '"Medcalf, James"'

1. 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., Brunskill, Nigel J., Ballew, Shoshana H., Sang, Yingying, Coresh, Josef, Matsushita, Kunihiro, Surapaneni, Aditya, Bell, Samira, Carrero, Juan J., Chodick, Gabriel, Evans, Marie, Heerspink, Hiddo J.L., Inker, Lesley A., Iseki, Kunitoshi, Kalra, Philip A., Kirchner, H. Lester, Lee, Brian J., Levin, Adeera, Major, Rupert W., Medcalf, James, Nadkarni, Girish N., Naimark, David M.J., Ricardo, Ana C., Sawhney, Simon, Sood, Manish M., Staplin, Natalie, Stempniewicz, Nikita, Stengel, Benedicte, Sumida, Keiichi, Traynor, Jamie P., van den Brand, Jan, Wen, Chi-Pang, Woodward, Mark, Yang, Jae Won, Wang, Angela Yee-Moon, and Tangri, Navdeep

Published
2023
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2. Comparison of Outcomes of In-Centre Haemodialysis Patients between the 1st and 2nd COVID-19 Outbreak in England, Wales, and Northern Ireland: A UK Renal Registry Analysis

Author

Savino, Manuela, Santhakumaran, Shalini, Currie, Christine S.M., Onggo, Bhakti S.S., Evans, Katharine M., Medcalf, James F., Nitsch, Dorothea, and Steenkamp, Retha

Abstract

Introduction:This retrospective cohort study compares in-centre haemodialysis (ICHD) patients’ outcomes between the 1st and 2nd waves of the COVID-19 pandemic in England, Wales, and Northern Ireland. Methods:All people aged ≥18 years receiving ICHD at 31 December 2019, who were still alive and not in receipt of a kidney transplant at 1 March and who had a positive polymerase chain reaction test for SARS-CoV-2 between 1 March 2020 and 31 January 2021, were included. The COVID-19 infections were split into two “waves”: wave 1 from March to August 2020 and wave 2 from September 2020 to January 2021. Cumulative incidence of COVID-19, multivariable Cox models for risk of positivity, median, and 95% credible interval of reproduction number in dialysis units were calculated separately for wave 1 and wave 2. Survival and hazard ratios for mortality were described with age- and sex-adjusted Kaplan-Meier plots and multivariable Cox proportional models. Results:4,408 ICHD patients had COVID-19 during the study period. Unadjusted survival at 28 days was similar in both waves (wave 1 75.6% [95% confidence interval [CI]: 73.7–77.5], wave 2 76.3% [95% CI 74.3–78.2]), but death occurred more rapidly after detected infection in wave 1. Long vintage treatment and not being on the transplant waiting list were associated with higher mortality in both waves. Conclusions:Risk of death of patients on ICHD treatment with COVID-19 remained unchanged between the first and second outbreaks. This highlights that this vulnerable patient group needs to be prioritized for interventions to prevent severe COVID-19, including vaccination, and the implementation of measures to reduce the risk of transmission alone is not sufficient.

Published
2022
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4. The Challenges of Using UK Renal Registry Data to Audit the Care of Patients with Diabetes on Renal Replacement Therapy

Author

Cox, Louise, Wong, Esther, Evans, Katharine M., Medcalf, James, and Pyart, Rhodri

Abstract

Introduction:Diabetes is a major cause of CKD and of mortality in patients on renal replacement therapy (RRT). Auditing the care of patients with diabetes on RRT against published guidelines relies on robust data collection. Objective:This article assesses the completeness of data items collected by the UK Renal Registry (UKRR) that are required to audit the care of patients with diabetes on RRT. Methods:The UKRR receives data on all patients receiving RRT in the UK. Patients with diabetes, diabetes type, and method of renal diagnosis were identified from primary renal disease (PRD) codes and comorbidity data for patients commencing RRT at one of the 57 renal centres in England and Wales between 2010 and 2016. The completeness of demographic and clinical data (blood pressure, cholesterol, glycated haemoglobin [HbA1c], and smoking status) was assessed for the first year of RRT. Results:Ninety-three per cent of all patients on RRT irrespective of diagnosis had a PRD code, but only 28/57 renal centres had comorbidity data completeness ≥70%; 34.9% of patients with diabetic nephropathy (DN) had type 1 diabetes, but this varied between centres (9.2–100%). Overall, 4.2% of DN diagnoses were by biopsy. Data completeness in the first year of RRT for cardiovascular risk factors ranged between 50.0 and 80.0%, with HbA1c data completeness being 63.0%. Of 57 centres, 20 had HbA1c data for ≥70% of patients in the first year of RRT. Conclusions:There is persistent variation between renal centres in the completeness of data collected on patients with diabetes on RRT, impacting on the ability to undertake robust audit. Data linkages and expanded data permissions could see registry data play a key role in ongoing audit and research into patients with diabetes and CKD, provided adequate data can be collected.

Published
2020
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5. Advanced chronic kidney disease among UK children

Author

Plumb, Lucy, Magadi, Winnie, Casula, Anna, Reynolds, Ben C, Convery, Mairead, Haq, Shuman, Hegde, Shivaram, Lunn, Andrew, Malina, Michal, Morgan, Henry, Muorah, Mordi, Tyerman, Kay, Sinha, Manish D, Wallace, Dean, Inward, Carol, Marks, Stephen, Nitsch, Dorothea, and Medcalf, James

Abstract

The UK Renal Registry currently collects information on UK children with kidney failure requiring long-term kidney replacement therapy (KRT), which supports disease surveillance and auditing of care and outcomes; however, data are limited on children with chronic kidney disease (CKD) not on KRT.MethodsIn March 2020, all UK Paediatric Nephrology centres submitted data on children aged <16 years with severely reduced kidney function as of December 2019, defined as an estimated glomerular filtration rate <30 mL/min/1.73 m2.ResultsIn total, 1031 children had severe CKD, the majority of whom (80.7%) were on KRT. The overall prevalence was 81.2 (95% CI 76.3 to 86.3) per million of the age-related population.ConclusionsThe prevalence of severe CKD among UK children is largely due to a high proportion of children on long-term KRT. Expanding data capture to include children with CKD before reaching failure will provide greater understanding of the CKD burden in childhood.

Published
2022
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8. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies

Author

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, Ito, Sadayoshi, 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, Gansevoort, Ron T, 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, and Zhang, Luxia

Abstract

Change in albuminuria as a surrogate endpoint for progression of chronic kidney disease is strongly supported by biological plausibility, but empirical evidence to support its validity in epidemiological studies is lacking. We aimed to assess the consistency of the association between change in albuminuria and risk of end-stage kidney disease in a large individual participant-level meta-analysis of observational studies.

Published
2019
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9. Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium

Author

Inker, Lesley A., Grams, Morgan E., Levey, Andrew S., Coresh, Josef, Cirillo, Massimo, Collins, John F., Gansevoort, Ron T., Gutierrez, Orlando M., Hamano, Takayuki, Heine, Gunnar H., Ishikawa, Shizukiyo, Jee, Sun Ha, Kronenberg, Florian, Landray, Martin J., Miura, Katsuyuki, Nadkarni, Girish N., Peralta, Carmen A., Rothenbacher, Dietrich, Schaeffner, Elke, Sedaghat, Sanaz, Shlipak, Michael G., Zhang, Luxia, van Zuilen, Arjan D., Hallan, Stein I., Kovesdy, Csaba P., Woodward, Mark, Levin, Adeera, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Woodward, Mark, Arima, Hisatomi, Perkovic, Vlado, Yatsuya, Hiroshi, Tamakoshi, Koji, Li, Yuanying, Hirakawa, Yoshihisa, Coresh, Josef, Matsushita, Kunihiro, Grams, Morgan, Sang, Yingying, Polkinghorne, Kevan, Chadban, Steven, Atkins, Robert, Levin, Adeera, Djurdjev, Ognjenka, Zhang, Luxia, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Schaeffner, Elke, Ebert, Natalie, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Emrich, Insa, Seiler, Sarah, Zawada, Adam, Nally, Joseph, Navaneethan, Sankar, Schold, Jesse, Zhang, Luxia, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Shlipak, Michael, Sarnak, Mark, Katz, Ronit, Hiramoto, Jade, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Hasegawa, Takeshi, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Brenner, Hermann, Schöttker, Ben, Saum, Kai-Uwe, Rothenbacher, Dietrich, Fox, Caroline, Hwang, Shih-Jen, Köttgen, Anna, Kronenberg, Florian, Schneider, Markus P., Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R., Ho, Kevin, Ito, Sadayoshi, Miyazaki, Mariko, Nakayama, Masaaki, Yamada, Gen, Cirillo, Massimo, Irie, Fujiko, Sairenchi, Toshimi, Ishikawa, Shizukiyo, Yano, Yuichiro, Kotani, Kazuhiko, Nakamura, Takeshi, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Chodick, Gabriel, Shalev, Varda, Wetzels, Jack F.M., Blankestijn, Peter J., van Zuilen, Arjan D., van den Brand, Jan, Sarnak, Mark, Inker, Lesley, Peralta, Carmen, Hiramoto, Jade, Katz, Ronit, Sarnak, Mark, Kronenberg, Florian, Kollerits, Barbara, Ritz, Eberhard, Nitsch, Dorothea, Roderick, Paul, Fletcher, Astrid, Bottinger, Erwin, Nadkarni, Girish N., Ellis, Stephen B., Nadukuru, Rajiv, Sang, Yingying, Ueshima, Hirotsugu, Okayama, Akira, Miura, Katsuyuki, Tanaka, Sachiko, Ueshima, Hirotsugu, Okamura, Tomonori, Miura, Katsuyuki, Tanaka, Sachiko, Miura, Katsuyuki, Okayama, Akira, Kadota, Aya, Tanaka, Sachiko, Kenealy, Timothy, Elley, C Raina, Collins, John F., Drury, Paul L., Ohkubo, Takayoshi, Asayama, Kei, Metoki, Hirohito, Kikuya, Masahiro, Nakayama, Masaaki, Nelson, Robert G., Knowler, William C., Gansevoort, Ron T., Bakker, Stephan JL., Hak, Eelco, Heerspink, Hiddo J.L., Brunskill, Nigel, Major, Rupert, Shepherd, David, Medcalf, James, Jassal, Simerjot K., Bergstrom, Jaclyn, Ix, Joachim H., Barrett-Connor, Elizabeth, Kovesdy, Csaba, Kalantar-Zadeh, Kamyar, Sumida, Keiichi, Gutierrez, Orlando M., Muntner, Paul, Warnock, David, McClellan, William, Heerspink, Hiddo J.L., de Zeeuw, Dick, Brenner, Barry, Sedaghat, Sanaz, Ikram, M Arfan, Hoorn, Ewout J., Dehghan, Abbas, Carrero, Juan J., Gasparini, Alessandro, Wettermark, Björn, Elinder, Carl-Gustaf, Wong, Tien Yin, Sabanayagam, Charumathi, Cheng, Ching-Yu, Visseren, Frank L.J., Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Wen, Chi-Pang, Tsao, Chwen-Keng, Tsai, Min-Kugng, Chen, Chien-Hua, Konta, Tsuneo, Hirayama, Atsushi, Ichikawa, Kazunobu, Lannfelt, Lars, Larsson, Anders, Ärnlöv, Johan, Bilo, Henk J.G., Landman, Gijs W.D., van Hateren, Kornelis J.J., Kleefstra, Nanne, Coresh (Chair, Josef, Gansevoort, Ron T., Grams, Morgan E., Hallan, Stein, Kovesdy, Csaba P., Levey, Andrew S., Matsushita, Kunihiro, Shalev, Varda, Woodward, Mark, Ballew, Shoshana H., Chen, Jingsha, Coresh, Josef, Grams, Morgan E., Kwak, Lucia, Matsushita, Kunihiro, Sang, Yingying, Surapaneni, Aditya, and Woodward, Mark

Abstract

Chronic kidney disease (CKD) is complicated by abnormalities that reflect disruption in filtration, tubular, and endocrine functions of the kidney. Our aim was to explore the relationship of specific laboratory result abnormalities and hypertension with the estimated glomerular filtration rate (eGFR) and albuminuria CKD staging framework.

Published
2019
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