1. Plumb L, Steenkamp R, Hamilton AJ, Maxwell H, Inward CD, Marks SD, Nitsch D. The spectrum of co-existing disease in children with established kidney failure using registry and linked electronic health record data. Pediatr Nephrol. 2024 Aug 8. doi: 10.1007/s00467-024-06470-x. Epub ahead of print.

2. Aylward R, Casula A, Tiffin N, Ben-Shlomo Y, Rayner B, Birnie K, Caskey FJ. Consistency of alerts generated by, and implementation of, the NHS England acute kidney injury detection algorithm in English laboratories. J Nephrol. 2024 Aug 4. doi: 10.1007/s40620-024-02030-6. Epub ahead of print.

3. Damery S, Lambie M, Williams I, Coyle D, Fotheringham J, Solis-Trapala I, Allen K, Potts J, Dikomitis L, Davies SJ. Centre variation in home dialysis uptake: A survey of kidney centre practice in relation to home dialysis organisation and delivery in England. Perit Dial Int. 2024 Jul;44(4):265-274.

4. Wong K, Pitcher D, Braddon F, Downward L, Steenkamp R, Masoud S, Annear N, Barratt J, Bingham C, Coward RJ, Chrysochou T, Game D, Griffin S, Hall M, Johnson S, Kanigicherla D, Karet Frankl F, Kavanagh D, Kerecuk L, Maher ER, Moochhala S, Pinney J, Sayer JA, Simms R, Sinha S, Srivastava S, Tam FWK, Thomas K, Turner AN, Walsh SB, Waters A, Wilson P, Wong E, Sy KTL, Huang K, Ye J, Nitsch D, Saleem M, Bockenhauer D, Bramham K, Gale DP; RaDaR consortium. Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort. Kidney Int Rep. 2024 May 9;9(7):2067-2083.

5. Santhakumaran S, Fisher L, Zheng B, Mahalingasivam V, Plumb L, Parker EP, Steenkamp R, Morton C, Mehrkar A, Bacon S, Lyon S, Konstant-Hambling R, Goldacre B, MacKenna B, Tomlinson LA, Nitsch D. Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry. BMJ Med. 2024 Apr 18;3(1):e000807.

6. Hajat S, Casula A, Murage P, Omoyeni D, Gray T, Plummer Z, Steenkamp R, Nitsch D. Ambient heat and acute kidney injury: case-crossover analysis of 1 354 675 automated e-alert episodes linked to high-resolution climate data. Lancet Planet Health. 2024 Mar;8(3):e156-e162.

7. Graham-Brown MPM, Casula A, Savino M, Humphrey T, Pyart R, Amaran M, Williams J, Crowe K, Medcalf JF; NEPHwork consortium collaborators. All involved in data collection and or local project setup and supervision. A National audit of the care of patients with acute kidney injury in England and Wales in 2019 and the association with patient outcomes. Clin Med (Lond). 2024 Mar;24(2):100028. 

8. Birnie K, Tomson C, Caskey FJ, Ben-Shlomo Y, Nitsch D, Casula A, Murray EJ, Sterne JAC. Comparative Effectiveness of Dynamic Treatment Strategies for Medication Use and Dosage: Emulating a Target Trial Using Observational Data. Epidemiology. 2023 Nov 1;34(6):879-887.

9. Taal MW, Lucas B, Roderick P, Cockwell P, Wheeler DC, Saleem MA, Fraser SDS, Banks RE, Johnson T, Hale LJ, Andag U, Skroblin P, Bayerlova M, Unwin R, Vuilleumier N, Dusaulcy R, Robertson F, Colby E, Pitcher D, Braddon F, Benavente M, Davies E, Nation M, Kalra PA. Associations with age and glomerular filtration rate in a referred population with chronic kidney disease: methods and baseline data from a UK multicentre cohort study (NURTuRE-CKD). Nephrol Dial Transplant. 2023 Oct 31;38(11):2617-2626.

10. Santhakumaran S, Savino M, Benoy-Deeney F, Steenkamp R, Medcalf J, Nitsch D. What data collection methods work best for COVID19 outbreak surveillance for people with end stage kidney disease? An observational cohort study using the UK Renal Registry. BMC Nephrol. 2023 May 8;24(1):130.
 

1. Machida T, Obara T, Miyazaki M, Inoue J, Mano N. Trends in drug prescriptions for type 2 diabetes, hypertension, and dyslipidemia among adults with non-alcoholic fatty liver disease. Ann Hepatol. 2022;27(4):100699.

2. Hozawa S, Maeda S, Kikuchi A, Koinuma M. Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study. J Asthma. 2022;59(7):1328-1337.

3. Maeda S, Kobayashi S, Takahashi K, Miyata S. Association of comorbidities and medications with risk of asthma exacerbation in pediatric patients: a retrospective study using Japanese claims data. Sci Rep. 2022;12(1):5509.

4. Yokoyama A, Okazaki H, Makita N, Fukui A, Piao Y, Arita Y, Itoh Y, Tashiro N. Regional differences in the incidence of asthma exacerbations in Japan: A heat map analysis of healthcare insurance claims data. Allergol Int. 2022;71(1):47-54.

5. Kubota K, Kelly T, Sato T, Pratt N, Roughead E, Yamaguchi T. A novel weighting method to remove bias from within-subject exposure dependency in case-crossover studies. BMC Med Res Methodol. 2021;21(1):214.

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