Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database.
BACKGROUND: Chronic kidney disease is a major health concern that, if left untreated, may progress to end-stage kidney failure (ESKF). Identifying individuals at an increased risk of kidney disease and who might benefit from a therapeutic or preventive intervention is an important challenge. AIM: T...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2012
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| _version_ | 1826281468992684032 |
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| author | Collins, G Altman, D |
| author_facet | Collins, G Altman, D |
| author_sort | Collins, G |
| collection | OXFORD |
| description | BACKGROUND: Chronic kidney disease is a major health concern that, if left untreated, may progress to end-stage kidney failure (ESKF). Identifying individuals at an increased risk of kidney disease and who might benefit from a therapeutic or preventive intervention is an important challenge. AIM: To evaluate the performance of the QKidney® scores for predicting 5-year risk of developing moderate-severe kidney disease and ESKF in an independent UK cohort of patients from general practice records. DESIGN AND SETTING: Prospective cohort study to evaluate the performance of two risk scores for kidney disease in 364 practices from the UK, contributing to The Health Improvement Network (THIN) database. METHOD: Data were obtained from 1.6 million patients registered with a general practice surgery between 1 January 2002 and 1 July 2008, aged 35-74 years, with 43,186 incident cases of moderate-severe kidney disease and 2663 incident cases of ESKF. This is the first recorded evidence of moderate-severe chronic kidney and ESKF as recorded in general practice records. RESULTS: The results from this independent and external validation of QKidney scores indicate that both scores showed good performance data for both moderate-severe kidney disease and ESKF, on a large cohort of general practice patients. Discrimination and calibration statistics were better for models including serum creatinine; however, there were considerable amounts of missing data for serum creatinine. QKidney scores both with and without serum creatinine were well calibrated. CONCLUSION: QKidney scores have been shown to be useful tools to predict the 5-year risk of moderate-severe kidney disease and ESKF in the UK. |
| first_indexed | 2024-03-07T00:29:16Z |
| format | Journal article |
| id | oxford-uuid:7f35974d-57ce-4b6d-b349-cd3d6be87beb |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:29:16Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oxford-uuid:7f35974d-57ce-4b6d-b349-cd3d6be87beb2022-03-26T21:15:18ZPredicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7f35974d-57ce-4b6d-b349-cd3d6be87bebEnglishSymplectic Elements at Oxford2012Collins, GAltman, D BACKGROUND: Chronic kidney disease is a major health concern that, if left untreated, may progress to end-stage kidney failure (ESKF). Identifying individuals at an increased risk of kidney disease and who might benefit from a therapeutic or preventive intervention is an important challenge. AIM: To evaluate the performance of the QKidney® scores for predicting 5-year risk of developing moderate-severe kidney disease and ESKF in an independent UK cohort of patients from general practice records. DESIGN AND SETTING: Prospective cohort study to evaluate the performance of two risk scores for kidney disease in 364 practices from the UK, contributing to The Health Improvement Network (THIN) database. METHOD: Data were obtained from 1.6 million patients registered with a general practice surgery between 1 January 2002 and 1 July 2008, aged 35-74 years, with 43,186 incident cases of moderate-severe kidney disease and 2663 incident cases of ESKF. This is the first recorded evidence of moderate-severe chronic kidney and ESKF as recorded in general practice records. RESULTS: The results from this independent and external validation of QKidney scores indicate that both scores showed good performance data for both moderate-severe kidney disease and ESKF, on a large cohort of general practice patients. Discrimination and calibration statistics were better for models including serum creatinine; however, there were considerable amounts of missing data for serum creatinine. QKidney scores both with and without serum creatinine were well calibrated. CONCLUSION: QKidney scores have been shown to be useful tools to predict the 5-year risk of moderate-severe kidney disease and ESKF in the UK. |
| spellingShingle | Collins, G Altman, D Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title | Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title_full | Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title_fullStr | Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title_full_unstemmed | Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title_short | Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database. |
| title_sort | predicting the risk of chronic kidney disease in the uk an evaluation of qkidney r scores using a primary care database |
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