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Identifying patients with chronic kidney disease from general practice computer records
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 be...
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| Published in: | Family practice 2005-06, Vol.22 (3), p.234-241 |
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| Main Authors: | , , , , , , , , |
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| container_end_page | 241 |
| container_issue | 3 |
| container_start_page | 234 |
| container_title | Family practice |
| container_volume | 22 |
| creator | de Lusignan, Simon Chan, Tom Stevens, Paul O'Donoghue, Donal Hague, Nigel Dzregah, Billy Van Vlymen, Jeremy Walker, Mel Hilton, Sean |
| description | 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 |
| doi_str_mv | 10.1093/fampra/cmi026 |
| format | article |
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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 <60 ml/min/1.73 m2 (equivalent to Stage 3–5 CKD), representing 4.9% of the population. Only 3.6% of these were recorded as having renal disease. Three-quarters (74.6%; 4075/5449) of those with Stage 3–5 CKD had one or more circulatory diseases; 346 were prescribed potentially nephrotoxic drugs and over 4000 prescriptions were issued for drugs recommended to be used with caution in renal impairment. Conclusions. Patients with CKD can be identified by searching GP computer databases; along with associated co-morbidities and treatment. Results revealed a similar rate of Stage 3–5 CKD to that found previously in the USA. The very low rate of recording of renal disease in patients found to have CKD indicates scope for improving detection and early intervention.</description><identifier>ISSN: 0263-2136</identifier><identifier>EISSN: 1460-2229</identifier><identifier>DOI: 10.1093/fampra/cmi026</identifier><identifier>PMID: 15814579</identifier><identifier>CODEN: FAPREH</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Age Distribution ; Aged ; Aged, 80 and over ; Chronic ; Chronic kidney disease ; computerised medical record ; Computerized medical records ; England - epidemiology ; Family Practice - organization & administration ; Family Practice - statistics & numerical data ; Feasibility Studies ; Female ; General practice ; Glomerular Filtration Rate ; Humans ; Identification ; Kidney diseases ; Kidney Failure, Chronic - diagnosis ; Kidney Failure, Chronic - epidemiology ; Kidney Failure, Chronic - physiopathology ; Male ; Medical Records Systems, Computerized - utilization ; Middle Aged ; Prevalence ; Risk Factors ; serum creatinine ; Sex Distribution</subject><ispartof>Family practice, 2005-06, Vol.22 (3), p.234-241</ispartof><rights>Copyright Oxford University Press(England) Jun 15, 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c426t-72f210ef38726c4c3b4e7e313a00191f732000374d250079bac567a00025a0bd3</citedby><cites>FETCH-LOGICAL-c426t-72f210ef38726c4c3b4e7e313a00191f732000374d250079bac567a00025a0bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,31000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15814579$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Lusignan, Simon</creatorcontrib><creatorcontrib>Chan, Tom</creatorcontrib><creatorcontrib>Stevens, Paul</creatorcontrib><creatorcontrib>O'Donoghue, Donal</creatorcontrib><creatorcontrib>Hague, Nigel</creatorcontrib><creatorcontrib>Dzregah, Billy</creatorcontrib><creatorcontrib>Van Vlymen, Jeremy</creatorcontrib><creatorcontrib>Walker, Mel</creatorcontrib><creatorcontrib>Hilton, Sean</creatorcontrib><title>Identifying patients with chronic kidney disease from general practice computer records</title><title>Family practice</title><addtitle>Family Practice</addtitle><description>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 <60 ml/min/1.73 m2 (equivalent to Stage 3–5 CKD), representing 4.9% of the population. Only 3.6% of these were recorded as having renal disease. Three-quarters (74.6%; 4075/5449) of those with Stage 3–5 CKD had one or more circulatory diseases; 346 were prescribed potentially nephrotoxic drugs and over 4000 prescriptions were issued for drugs recommended to be used with caution in renal impairment. Conclusions. Patients with CKD can be identified by searching GP computer databases; along with associated co-morbidities and treatment. Results revealed a similar rate of Stage 3–5 CKD to that found previously in the USA. The very low rate of recording of renal disease in patients found to have CKD indicates scope for improving detection and early intervention.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chronic</subject><subject>Chronic kidney disease</subject><subject>computerised medical record</subject><subject>Computerized medical records</subject><subject>England - epidemiology</subject><subject>Family Practice - organization & administration</subject><subject>Family Practice - statistics & numerical data</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>General practice</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Identification</subject><subject>Kidney diseases</subject><subject>Kidney Failure, Chronic - diagnosis</subject><subject>Kidney Failure, Chronic - epidemiology</subject><subject>Kidney Failure, Chronic - physiopathology</subject><subject>Male</subject><subject>Medical Records Systems, Computerized - utilization</subject><subject>Middle Aged</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>serum creatinine</subject><subject>Sex Distribution</subject><issn>0263-2136</issn><issn>1460-2229</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNpdkM1LAzEQxYMotlaPXiV48Laaj82me5SitlDUg1LpJaTZ2TZt98NkF-1_b2SLBU_DzPvx5vEQuqTklpKU3-W6qJ2-M4UlLDlCfRonJGKMpceoHy48YpQnPXTm_ZoQIqWQp6hHxZDGQqZ9NJtkUDY239lyiWvd2LB5_GWbFTYrV5XW4I3NStjhzHrQHnDuqgIvoQSntzi8No01gE1V1G0DDjswlcv8OTrJ9dbDxX4O0Pvjw9toHE1fniaj-2lkYpY0kWQ5owRyPpQsMbHhixgkcMo1ITSlueQspOYyzpgI6dOFNiKRQSRMaLLI-ADddL61qz5b8I0qrDew3eoSqtYrIckwDnAAr_-B66p1ZcimaJoKlqRMBijqIOMq7x3kqna20G6nKFG_dauubtXVHfirvWm7KCA70Pt-D4bWN_D9p2u3UYnkUqjxx1zNCZ3J-fNQvfIfzteL9g</recordid><startdate>200506</startdate><enddate>200506</enddate><creator>de Lusignan, Simon</creator><creator>Chan, Tom</creator><creator>Stevens, Paul</creator><creator>O'Donoghue, Donal</creator><creator>Hague, Nigel</creator><creator>Dzregah, Billy</creator><creator>Van Vlymen, Jeremy</creator><creator>Walker, Mel</creator><creator>Hilton, Sean</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7QJ</scope></search><sort><creationdate>200506</creationdate><title>Identifying patients with chronic kidney disease from general practice computer records</title><author>de Lusignan, Simon ; Chan, Tom ; Stevens, Paul ; O'Donoghue, Donal ; Hague, Nigel ; Dzregah, Billy ; Van Vlymen, Jeremy ; Walker, Mel ; Hilton, Sean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-72f210ef38726c4c3b4e7e313a00191f732000374d250079bac567a00025a0bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Chronic</topic><topic>Chronic kidney disease</topic><topic>computerised medical record</topic><topic>Computerized medical records</topic><topic>England - epidemiology</topic><topic>Family Practice - organization & administration</topic><topic>Family Practice - statistics & numerical data</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>General practice</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Identification</topic><topic>Kidney diseases</topic><topic>Kidney Failure, Chronic - diagnosis</topic><topic>Kidney Failure, Chronic - epidemiology</topic><topic>Kidney Failure, Chronic - physiopathology</topic><topic>Male</topic><topic>Medical Records Systems, Computerized - utilization</topic><topic>Middle Aged</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>serum creatinine</topic><topic>Sex Distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Lusignan, Simon</creatorcontrib><creatorcontrib>Chan, Tom</creatorcontrib><creatorcontrib>Stevens, Paul</creatorcontrib><creatorcontrib>O'Donoghue, Donal</creatorcontrib><creatorcontrib>Hague, Nigel</creatorcontrib><creatorcontrib>Dzregah, Billy</creatorcontrib><creatorcontrib>Van Vlymen, Jeremy</creatorcontrib><creatorcontrib>Walker, Mel</creatorcontrib><creatorcontrib>Hilton, Sean</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Family practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Lusignan, Simon</au><au>Chan, Tom</au><au>Stevens, Paul</au><au>O'Donoghue, Donal</au><au>Hague, Nigel</au><au>Dzregah, Billy</au><au>Van Vlymen, Jeremy</au><au>Walker, Mel</au><au>Hilton, Sean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying patients with chronic kidney disease from general practice computer records</atitle><jtitle>Family practice</jtitle><addtitle>Family Practice</addtitle><date>2005-06</date><risdate>2005</risdate><volume>22</volume><issue>3</issue><spage>234</spage><epage>241</epage><pages>234-241</pages><issn>0263-2136</issn><eissn>1460-2229</eissn><coden>FAPREH</coden><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 <60 ml/min/1.73 m2 (equivalent to Stage 3–5 CKD), representing 4.9% of the population. Only 3.6% of these were recorded as having renal disease. Three-quarters (74.6%; 4075/5449) of those with Stage 3–5 CKD had one or more circulatory diseases; 346 were prescribed potentially nephrotoxic drugs and over 4000 prescriptions were issued for drugs recommended to be used with caution in renal impairment. Conclusions. Patients with CKD can be identified by searching GP computer databases; along with associated co-morbidities and treatment. Results revealed a similar rate of Stage 3–5 CKD to that found previously in the USA. The very low rate of recording of renal disease in patients found to have CKD indicates scope for improving detection and early intervention.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>15814579</pmid><doi>10.1093/fampra/cmi026</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0263-2136 |
| ispartof | Family practice, 2005-06, Vol.22 (3), p.234-241 |
| issn | 0263-2136 1460-2229 |
| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); Oxford Journals Online |
| subjects | Adult Age Distribution Aged Aged, 80 and over Chronic Chronic kidney disease computerised medical record Computerized medical records England - epidemiology Family Practice - organization & administration Family Practice - statistics & numerical data Feasibility Studies Female General practice Glomerular Filtration Rate Humans Identification Kidney diseases Kidney Failure, Chronic - diagnosis Kidney Failure, Chronic - epidemiology Kidney Failure, Chronic - physiopathology Male Medical Records Systems, Computerized - utilization Middle Aged Prevalence Risk Factors serum creatinine Sex Distribution |
| title | Identifying patients with chronic kidney disease from general practice computer records |
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