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White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand

OBJECTIVES: Electronic health records offer the opportunity to discover new clinical implications for established blood tests, but international comparisons have been lacking. We tested the association of total white cell count (WBC) with all-cause mortality in England and New Zealand. SETTING: Prim...

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Autores principales: Shah, Anoop Dinesh, Thornley, Simon, Chung, Sheng-Chia, Denaxas, Spiros, Jackson, Rod, Hemingway, Harry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318564/
https://www.ncbi.nlm.nih.gov/pubmed/28213596
http://dx.doi.org/10.1136/bmjopen-2016-013100
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author Shah, Anoop Dinesh
Thornley, Simon
Chung, Sheng-Chia
Denaxas, Spiros
Jackson, Rod
Hemingway, Harry
author_facet Shah, Anoop Dinesh
Thornley, Simon
Chung, Sheng-Chia
Denaxas, Spiros
Jackson, Rod
Hemingway, Harry
author_sort Shah, Anoop Dinesh
collection PubMed
description OBJECTIVES: Electronic health records offer the opportunity to discover new clinical implications for established blood tests, but international comparisons have been lacking. We tested the association of total white cell count (WBC) with all-cause mortality in England and New Zealand. SETTING: Primary care practices in England (ClinicAl research using LInked Bespoke studies and Electronic health Records (CALIBER)) and New Zealand (PREDICT). DESIGN: Analysis of linked electronic health record data sets: CALIBER (primary care, hospitalisation, mortality and acute coronary syndrome registry) and PREDICT (cardiovascular risk assessments in primary care, hospitalisations, mortality, dispensed medication and laboratory results). PARTICIPANTS: People aged 30–75 years with no prior cardiovascular disease (CALIBER: N=686 475, 92.0% white; PREDICT: N=194 513, 53.5% European, 14.7% Pacific, 13.4% Maori), followed until death, transfer out of practice (in CALIBER) or study end. PRIMARY OUTCOME MEASURE: HRs for mortality were estimated using Cox models adjusted for age, sex, smoking, diabetes, systolic blood pressure, ethnicity and total:high-density lipoprotein (HDL) cholesterol ratio. RESULTS: We found ‘J’-shaped associations between WBC and mortality; the second quintile was associated with lowest risk in both cohorts. High WBC within the reference range (8.65–10.05×10(9)/L) was associated with significantly increased mortality compared to the middle quintile (6.25–7.25×10(9)/L); adjusted HR 1.51 (95% CI 1.43 to 1.59) in CALIBER and 1.33 (95% CI 1.06 to 1.65) in PREDICT. WBC outside the reference range was associated with even greater mortality. The association was stronger over the first 6 months of follow-up, but similar across ethnic groups. CONCLUSIONS: Clinically recorded WBC within the range considered ‘normal’ is associated with mortality in ethnically different populations from two countries, particularly within the first 6 months. Large-scale international comparisons of electronic health record cohorts might yield new insights from widely performed clinical tests. TRIAL REGISTRATION NUMBER: NCT02014610.
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spelling pubmed-53185642017-02-27 White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand Shah, Anoop Dinesh Thornley, Simon Chung, Sheng-Chia Denaxas, Spiros Jackson, Rod Hemingway, Harry BMJ Open Epidemiology OBJECTIVES: Electronic health records offer the opportunity to discover new clinical implications for established blood tests, but international comparisons have been lacking. We tested the association of total white cell count (WBC) with all-cause mortality in England and New Zealand. SETTING: Primary care practices in England (ClinicAl research using LInked Bespoke studies and Electronic health Records (CALIBER)) and New Zealand (PREDICT). DESIGN: Analysis of linked electronic health record data sets: CALIBER (primary care, hospitalisation, mortality and acute coronary syndrome registry) and PREDICT (cardiovascular risk assessments in primary care, hospitalisations, mortality, dispensed medication and laboratory results). PARTICIPANTS: People aged 30–75 years with no prior cardiovascular disease (CALIBER: N=686 475, 92.0% white; PREDICT: N=194 513, 53.5% European, 14.7% Pacific, 13.4% Maori), followed until death, transfer out of practice (in CALIBER) or study end. PRIMARY OUTCOME MEASURE: HRs for mortality were estimated using Cox models adjusted for age, sex, smoking, diabetes, systolic blood pressure, ethnicity and total:high-density lipoprotein (HDL) cholesterol ratio. RESULTS: We found ‘J’-shaped associations between WBC and mortality; the second quintile was associated with lowest risk in both cohorts. High WBC within the reference range (8.65–10.05×10(9)/L) was associated with significantly increased mortality compared to the middle quintile (6.25–7.25×10(9)/L); adjusted HR 1.51 (95% CI 1.43 to 1.59) in CALIBER and 1.33 (95% CI 1.06 to 1.65) in PREDICT. WBC outside the reference range was associated with even greater mortality. The association was stronger over the first 6 months of follow-up, but similar across ethnic groups. CONCLUSIONS: Clinically recorded WBC within the range considered ‘normal’ is associated with mortality in ethnically different populations from two countries, particularly within the first 6 months. Large-scale international comparisons of electronic health record cohorts might yield new insights from widely performed clinical tests. TRIAL REGISTRATION NUMBER: NCT02014610. BMJ Publishing Group 2017-02-17 /pmc/articles/PMC5318564/ /pubmed/28213596 http://dx.doi.org/10.1136/bmjopen-2016-013100 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Epidemiology
Shah, Anoop Dinesh
Thornley, Simon
Chung, Sheng-Chia
Denaxas, Spiros
Jackson, Rod
Hemingway, Harry
White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title_full White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title_fullStr White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title_full_unstemmed White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title_short White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
title_sort white cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in england and new zealand
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318564/
https://www.ncbi.nlm.nih.gov/pubmed/28213596
http://dx.doi.org/10.1136/bmjopen-2016-013100
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