Identifying patients with chronic kidney disease from general practice computer records

Simon de Lusignan; Tom Chan; Paul Stevens; Donal O'Donoghue; Nigel Hague; Billy Dzregah; Jeremy Van Vlymen; Mel Walker; Sean Hilton

doi:10.1093/fampra/cmi026

Identifying patients with chronic kidney disease from general practice computer records

Simon de Lusignan, Tom Chan, Paul Stevens, Donal O'Donoghue, Nigel Hague, Billy Dzregah, Jeremy Van Vlymen, Mel Walker, Sean Hilton

Research output: Contribution to journal › Article › peer-review

Abstract

Background. 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. Methods. The simplified Modification of Diet in Renal Disease (MDRD) equation was used to estimate glomerular filtration rate (GFR) and determine stage of CKD in patients from 12 practices in Surrey, Kent and Greater Manchester with SCr recorded in their notes. Further data were extracted on associated co-morbidities and potentially modifiable risk factors. Results. One quarter (25.7%; 28 862/112 215) had an SCr recorded and one in five (18.9%) of them had a GFR

Original language	English
Pages (from-to)	234-241
Number of pages	7
Journal	Family practice
Volume	22
Issue number	3
DOIs	https://doi.org/10.1093/fampra/cmi026
Publication status	Published - Jun 2005

Keywords

Chronic kidney disease
Computerised medical record
General practice
Glomerular filtration rate
Serum creatinine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/fampra/cmi026

Cite this

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title = "Identifying patients with chronic kidney disease from general practice computer records",

abstract = "Background. 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. Methods. The simplified Modification of Diet in Renal Disease (MDRD) equation was used to estimate glomerular filtration rate (GFR) and determine stage of CKD in patients from 12 practices in Surrey, Kent and Greater Manchester with SCr recorded in their notes. Further data were extracted on associated co-morbidities and potentially modifiable risk factors. Results. One quarter (25.7%; 28 862/112 215) had an SCr recorded and one in five (18.9%) of them had a GFR",

keywords = "Chronic kidney disease, Computerised medical record, General practice, Glomerular filtration rate, Serum creatinine",

author = "{de Lusignan}, Simon and Tom Chan and Paul Stevens and Donal O'Donoghue and Nigel Hague and Billy Dzregah and {Van Vlymen}, Jeremy and Mel Walker and Sean Hilton",

year = "2005",

month = jun,

doi = "10.1093/fampra/cmi026",

language = "English",

volume = "22",

pages = "234--241",

journal = "Family practice",

issn = "1460-2229",

publisher = "Oxford University Press",

number = "3",

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TY - JOUR

T1 - Identifying patients with chronic kidney disease from general practice computer records

AU - de Lusignan, Simon

AU - Chan, Tom

AU - Stevens, Paul

AU - O'Donoghue, Donal

AU - Hague, Nigel

AU - Dzregah, Billy

AU - Van Vlymen, Jeremy

AU - Walker, Mel

AU - Hilton, Sean

PY - 2005/6

Y1 - 2005/6

N2 - Background. 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. Methods. The simplified Modification of Diet in Renal Disease (MDRD) equation was used to estimate glomerular filtration rate (GFR) and determine stage of CKD in patients from 12 practices in Surrey, Kent and Greater Manchester with SCr recorded in their notes. Further data were extracted on associated co-morbidities and potentially modifiable risk factors. Results. One quarter (25.7%; 28 862/112 215) had an SCr recorded and one in five (18.9%) of them had a GFR

AB - Background. 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. Methods. The simplified Modification of Diet in Renal Disease (MDRD) equation was used to estimate glomerular filtration rate (GFR) and determine stage of CKD in patients from 12 practices in Surrey, Kent and Greater Manchester with SCr recorded in their notes. Further data were extracted on associated co-morbidities and potentially modifiable risk factors. Results. One quarter (25.7%; 28 862/112 215) had an SCr recorded and one in five (18.9%) of them had a GFR

KW - Chronic kidney disease

KW - Computerised medical record

KW - General practice

KW - Glomerular filtration rate

KW - Serum creatinine

U2 - 10.1093/fampra/cmi026

DO - 10.1093/fampra/cmi026

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VL - 22

SP - 234

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JO - Family practice

JF - Family practice

IS - 3

ER -

Identifying patients with chronic kidney disease from general practice computer records

Abstract

Keywords

UN SDGs

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