Identifying patients with chronic kidney disease from general practice computer records | Zendy

Simon de Lusignan | Zendy; Tom Chan | Zendy; Paul E. Stevens | Zendy; Dónal O’Donoghue | Zendy; Nigel Hague | Zendy; B Dzregah | Zendy; Jeremy van Vlymen | Zendy; Mel Walker | Zendy; Sean Hilton | Zendy

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Identifying patients with chronic kidney disease from general practice computer records

Author(s) -

Simon de Lusignan,

Tom Chan,

Paul E. Stevens,

Dónal O’Donoghue,

Nigel Hague,

B Dzregah,

Jeremy van Vlymen,

Mel Walker,

Sean Hilton

Publication year - 2005

Publication title -

family practice

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.955

H-Index - 100

eISSN - 1460-2229

pISSN - 0263-2136

DOI - 10.1093/fampra/cmi026

Subject(s) - medicine , kidney disease , intensive care medicine , general practice , medical record , family medicine

Chronic kidney disease (CKD) is an important predictor of end-stage renal disease, as well as a marker of increased mortality. The New Opportunities for Early Renal Intervention by Computerised Assessment (NEOERICA) project aimed to assess whether people with undiagnosed CKD who might benefit from early intervention could be identified from GP computer records.

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