Association of sputum and blood eosinophil concentrations with clinical measures of COPD severity: an analysis of the SPIROMICS cohort

Increased concentrations of eosinophils in blood and sputum in chronic obstructive pulmonary disease (COPD) have been associated with increased frequency of exacerbations, reduced lung function, and corticosteroid responsiveness. We aimed to assess whether high eosinophil concentrations in either sp...

Full description

Saved in:
Bibliographic Details
Published inThe lancet respiratory medicine Vol. 5; no. 12; p. 956
Main Authors Hastie, Annette T, Martinez, Fernando J, Curtis, Jeffrey L, Doerschuk, Claire M, Hansel, Nadia N, Christenson, Stephanie, Putcha, Nirupama, Ortega, Victor E, Li, Xingnan, Barr, R Graham, Carretta, Elizabeth E, Couper, David J, Cooper, Christopher B, Hoffman, Eric A, Kanner, Richard E, Kleerup, Eric, O'Neal, Wanda K, Paine, 3rd, Richard, Peters, Stephen P, Alexis, Neil E, Woodruff, Prescott G, Han, MeiLan K, Meyers, Deborah A, Bleecker, Eugene R
Format Journal Article
LanguageEnglish
Published England 01.12.2017
Subjects
Online AccessGet more information

Cover

Loading…
Abstract Increased concentrations of eosinophils in blood and sputum in chronic obstructive pulmonary disease (COPD) have been associated with increased frequency of exacerbations, reduced lung function, and corticosteroid responsiveness. We aimed to assess whether high eosinophil concentrations in either sputum or blood are associated with a severe COPD phenotype, including greater exacerbation frequency, and whether blood eosinophils are predictive of sputum eosinophils. We did a multicentre observational study analysing comprehensive baseline data from SPIROMICS in patients with COPD aged 40-80 years who had a smoking history of at least 20 pack-years, recruited from six clinical sites and additional subsites in the USA between Nov 12, 2010, and April 21, 2015. Inclusion criteria for this analysis were SPIROMICS baseline visit data with complete blood cell counts and, in a subset, acceptable sputum counts. We stratified patients on the basis of blood and sputum eosinophil concentrations and compared their demographic characteristics, as well as results from questionnaires, clinical assessments, and quantitative CT (QCT). We also analysed whether blood eosinophil concentrations reliably predicted sputum eosinophil concentrations. This study is registered with ClinicalTrials.gov (NCT01969344). Of the 2737 patients recruited to SPIROMICS, 2499 patients were smokers and had available blood counts, and so were stratified by mean blood eosinophil count: 1262 patients with low (<200 cells per μL) and 1237 with high (≥200 cells per μL) blood eosinophil counts. 827 patients were eligible for stratification by mean sputum eosinophil percentage: 656 with low (<1·25%) and 171 with high (≥1·25%) sputum eosinophil percentages. The high sputum eosinophil group had significantly lower median FEV percentage predicted than the low sputum eosinophil group both before (65·7% [IQR 51·8-81·3] vs 75·7% [59·3-90·2], p<0·0001) and after (77·3% [63·1-88·5] vs 82·9% [67·8-95·9], p=0·001) bronchodilation. QCT density measures for emphysema and air trapping were significantly higher in the high sputum eosinophil group than the low sputum eosinophil group. Exacerbations requiring corticosteroids treatment were more common in the high versus low sputum eosinophil group (p=0·002). FEV percentage predicted was significantly different between low and high blood eosinophil groups, but differences were less than those observed between the sputum groups. The high blood eosinophil group had slightly increased airway wall thickness (0·02 mm difference, p=0·032), higher St George Respiratory Questionnaire symptom scores (p=0·037), and increased wheezing (p=0·018), but no evidence of an association with COPD exacerbations (p=0·35) or the other indices of COPD severity, such as emphysema measured by CT density, COPD assessment test scores, Body-mass index, airflow Obstruction, Dyspnea, and Exercise index, or Global Initiative for Chronic Obstructive Lung Disease stage. Blood eosinophil counts showed a weak but significant association with sputum eosinophil counts (receiver operating characteristic area under the curve of 0·64, p<0·0001), but with a high false-discovery rate of 72%. In a large, well characterised cohort of former and current smoking patients with a broad range of COPD severity, high concentrations of sputum eosinophils were a better biomarker than high concentrations of blood eosinophils to identify a patient subgroup with more severe disease, more frequent exacerbations, and increased emphysema by QCT. Blood eosinophils alone were not a reliable biomarker for COPD severity or exacerbations, or for sputum eosinophils. Clinical trials targeting eosinophilic inflammation in COPD should consider assessing sputum eosinophils. National Institutes of Health, and National Heart, Lung, and Blood Institute.
AbstractList Increased concentrations of eosinophils in blood and sputum in chronic obstructive pulmonary disease (COPD) have been associated with increased frequency of exacerbations, reduced lung function, and corticosteroid responsiveness. We aimed to assess whether high eosinophil concentrations in either sputum or blood are associated with a severe COPD phenotype, including greater exacerbation frequency, and whether blood eosinophils are predictive of sputum eosinophils. We did a multicentre observational study analysing comprehensive baseline data from SPIROMICS in patients with COPD aged 40-80 years who had a smoking history of at least 20 pack-years, recruited from six clinical sites and additional subsites in the USA between Nov 12, 2010, and April 21, 2015. Inclusion criteria for this analysis were SPIROMICS baseline visit data with complete blood cell counts and, in a subset, acceptable sputum counts. We stratified patients on the basis of blood and sputum eosinophil concentrations and compared their demographic characteristics, as well as results from questionnaires, clinical assessments, and quantitative CT (QCT). We also analysed whether blood eosinophil concentrations reliably predicted sputum eosinophil concentrations. This study is registered with ClinicalTrials.gov (NCT01969344). Of the 2737 patients recruited to SPIROMICS, 2499 patients were smokers and had available blood counts, and so were stratified by mean blood eosinophil count: 1262 patients with low (<200 cells per μL) and 1237 with high (≥200 cells per μL) blood eosinophil counts. 827 patients were eligible for stratification by mean sputum eosinophil percentage: 656 with low (<1·25%) and 171 with high (≥1·25%) sputum eosinophil percentages. The high sputum eosinophil group had significantly lower median FEV percentage predicted than the low sputum eosinophil group both before (65·7% [IQR 51·8-81·3] vs 75·7% [59·3-90·2], p<0·0001) and after (77·3% [63·1-88·5] vs 82·9% [67·8-95·9], p=0·001) bronchodilation. QCT density measures for emphysema and air trapping were significantly higher in the high sputum eosinophil group than the low sputum eosinophil group. Exacerbations requiring corticosteroids treatment were more common in the high versus low sputum eosinophil group (p=0·002). FEV percentage predicted was significantly different between low and high blood eosinophil groups, but differences were less than those observed between the sputum groups. The high blood eosinophil group had slightly increased airway wall thickness (0·02 mm difference, p=0·032), higher St George Respiratory Questionnaire symptom scores (p=0·037), and increased wheezing (p=0·018), but no evidence of an association with COPD exacerbations (p=0·35) or the other indices of COPD severity, such as emphysema measured by CT density, COPD assessment test scores, Body-mass index, airflow Obstruction, Dyspnea, and Exercise index, or Global Initiative for Chronic Obstructive Lung Disease stage. Blood eosinophil counts showed a weak but significant association with sputum eosinophil counts (receiver operating characteristic area under the curve of 0·64, p<0·0001), but with a high false-discovery rate of 72%. In a large, well characterised cohort of former and current smoking patients with a broad range of COPD severity, high concentrations of sputum eosinophils were a better biomarker than high concentrations of blood eosinophils to identify a patient subgroup with more severe disease, more frequent exacerbations, and increased emphysema by QCT. Blood eosinophils alone were not a reliable biomarker for COPD severity or exacerbations, or for sputum eosinophils. Clinical trials targeting eosinophilic inflammation in COPD should consider assessing sputum eosinophils. National Institutes of Health, and National Heart, Lung, and Blood Institute.
Author Martinez, Fernando J
Hastie, Annette T
Christenson, Stephanie
Hoffman, Eric A
Hansel, Nadia N
Barr, R Graham
Alexis, Neil E
Han, MeiLan K
Carretta, Elizabeth E
Doerschuk, Claire M
Couper, David J
O'Neal, Wanda K
Meyers, Deborah A
Paine, 3rd, Richard
Cooper, Christopher B
Kleerup, Eric
Putcha, Nirupama
Woodruff, Prescott G
Ortega, Victor E
Li, Xingnan
Peters, Stephen P
Bleecker, Eugene R
Kanner, Richard E
Curtis, Jeffrey L
Author_xml – sequence: 1
  givenname: Annette T
  surname: Hastie
  fullname: Hastie, Annette T
  email: ahastie@wakehealth.edu
  organization: Wake Forest School of Medicine, Winston-Salem, NC, USA. Electronic address: ahastie@wakehealth.edu
– sequence: 2
  givenname: Fernando J
  surname: Martinez
  fullname: Martinez, Fernando J
  organization: Weill Cornell Medical College of Cornell University, New York, NY, USA
– sequence: 3
  givenname: Jeffrey L
  surname: Curtis
  fullname: Curtis, Jeffrey L
  organization: VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; University of Michigan, Ann Arbor, MI, USA
– sequence: 4
  givenname: Claire M
  surname: Doerschuk
  fullname: Doerschuk, Claire M
  organization: University of North Carolina School of Medicine, Chapel Hill, NC, USA
– sequence: 5
  givenname: Nadia N
  surname: Hansel
  fullname: Hansel, Nadia N
  organization: Johns Hopkins University, Baltimore, MD, USA
– sequence: 6
  givenname: Stephanie
  surname: Christenson
  fullname: Christenson, Stephanie
  organization: University of California San Francisco, San Francisco, CA, USA
– sequence: 7
  givenname: Nirupama
  surname: Putcha
  fullname: Putcha, Nirupama
  organization: Johns Hopkins University, Baltimore, MD, USA
– sequence: 8
  givenname: Victor E
  surname: Ortega
  fullname: Ortega, Victor E
  organization: Wake Forest School of Medicine, Winston-Salem, NC, USA
– sequence: 9
  givenname: Xingnan
  surname: Li
  fullname: Li, Xingnan
  organization: University of Arizona College of Medicine, Tucson, AZ, USA
– sequence: 10
  givenname: R Graham
  surname: Barr
  fullname: Barr, R Graham
  organization: Columbia University/Presbyterian Hospital, New York, NY, USA
– sequence: 11
  givenname: Elizabeth E
  surname: Carretta
  fullname: Carretta, Elizabeth E
  organization: University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
– sequence: 12
  givenname: David J
  surname: Couper
  fullname: Couper, David J
  organization: University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
– sequence: 13
  givenname: Christopher B
  surname: Cooper
  fullname: Cooper, Christopher B
  organization: David Geffen School of Medicine, Los Angeles, CA, USA
– sequence: 14
  givenname: Eric A
  surname: Hoffman
  fullname: Hoffman, Eric A
  organization: University of Iowa, Iowa City, IA, USA
– sequence: 15
  givenname: Richard E
  surname: Kanner
  fullname: Kanner, Richard E
  organization: University of Utah Health Sciences Center, Salt Lake City, UT, USA
– sequence: 16
  givenname: Eric
  surname: Kleerup
  fullname: Kleerup, Eric
  organization: David Geffen School of Medicine, Los Angeles, CA, USA
– sequence: 17
  givenname: Wanda K
  surname: O'Neal
  fullname: O'Neal, Wanda K
  organization: University of North Carolina School of Medicine, Chapel Hill, NC, USA
– sequence: 18
  givenname: Richard
  surname: Paine, 3rd
  fullname: Paine, 3rd, Richard
  organization: University of Utah Health Sciences Center, Salt Lake City, UT, USA; Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
– sequence: 19
  givenname: Stephen P
  surname: Peters
  fullname: Peters, Stephen P
  organization: Wake Forest School of Medicine, Winston-Salem, NC, USA
– sequence: 20
  givenname: Neil E
  surname: Alexis
  fullname: Alexis, Neil E
  organization: University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
– sequence: 21
  givenname: Prescott G
  surname: Woodruff
  fullname: Woodruff, Prescott G
  organization: University of California San Francisco, San Francisco, CA, USA
– sequence: 22
  givenname: MeiLan K
  surname: Han
  fullname: Han, MeiLan K
  organization: University of Michigan, Ann Arbor, MI, USA
– sequence: 23
  givenname: Deborah A
  surname: Meyers
  fullname: Meyers, Deborah A
  organization: University of Arizona College of Medicine, Tucson, AZ, USA
– sequence: 24
  givenname: Eugene R
  surname: Bleecker
  fullname: Bleecker, Eugene R
  organization: University of Arizona College of Medicine, Tucson, AZ, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29146301$$D View this record in MEDLINE/PubMed
BookMark eNo1kM1OwzAQhC0EoqX0EUA-wiHgtZ204VaFv0pFrSicK8fZKEapHcUOqC_AcxNKWa1mpNnRd9gzcmydRUIugN0Ag-R2zTmIiCeMXcHkWjApeMSOyPAQQzogY-8_WD_TqeRMnpIBT0EmgsGQfM-8d9qoYJylrqS-6UK3pcoWNK-dKyg6b6xrKlNT7axGG9p92dMvEyqqa2ONVjXdovJdi_4Xki1X99TjJ7Ym7O56WL-q3nmzv4YK6Xo1f12-zLN1D61cG87JSalqj-ODj8j748Nb9hwtlk_zbLaItAQeIgmYKKFVnPJyIlMlJfbKGSoUZVEC5CwuQCCLU8lKyBMxRa1jlUMRQ1HGfEQu_7hNl2-x2DSt2ap2t_l_CP8Bx7NmIg
CitedBy_id crossref_primary_10_1183_13993003_00108_2019
crossref_primary_10_1186_s13063_021_05184_x
crossref_primary_10_1016_j_cyto_2022_155890
crossref_primary_10_26442_00403660_2023_08_202316
crossref_primary_10_1080_15412555_2019_1708297
crossref_primary_10_1016_S2213_2600_19_30179_1
crossref_primary_10_1016_j_jaip_2020_03_017
crossref_primary_10_1111_crj_13451
crossref_primary_10_2169_naika_107_1789
crossref_primary_10_1183_13993003_01037_2023
crossref_primary_10_1183_13993003_01219_2018
crossref_primary_10_1136_thoraxjnl_2020_215167
crossref_primary_10_1183_23120541_00148_2023
crossref_primary_10_2478_jtim_2023_0096
crossref_primary_10_17925_USPRD_2021_6_1_31
crossref_primary_10_1183_20734735_0118_2021
crossref_primary_10_1016_j_arbres_2022_06_005
crossref_primary_10_1038_s41392_023_01634_x
crossref_primary_10_1186_s43168_022_00151_9
crossref_primary_10_2147_COPD_S290422
crossref_primary_10_1016_j_alit_2020_04_004
crossref_primary_10_1016_j_rmr_2022_08_005
crossref_primary_10_1080_15412555_2019_1659760
crossref_primary_10_1164_rccm_202209_1748SO
crossref_primary_10_1007_s10405_018_0201_y
crossref_primary_10_3389_fmed_2024_1321371
crossref_primary_10_1183_23120541_00193_2020
crossref_primary_10_1183_13993003_00627_2020
crossref_primary_10_1371_journal_pone_0214647
crossref_primary_10_1002_ctd2_11
crossref_primary_10_1016_j_chest_2018_01_036
crossref_primary_10_1136_bmjresp_2022_001454
crossref_primary_10_1111_ijcp_13423
crossref_primary_10_1186_s12931_019_1029_7
crossref_primary_10_2147_COPD_S396311
crossref_primary_10_3390_medsci6020049
crossref_primary_10_1097_01_NPR_0000806392_71827_cc
crossref_primary_10_1016_j_chest_2018_07_002
crossref_primary_10_1016_j_rmed_2021_106672
crossref_primary_10_1080_14737159_2024_2344777
crossref_primary_10_1080_17476348_2021_2011219
crossref_primary_10_1016_j_bbrc_2022_07_025
crossref_primary_10_1016_j_chest_2022_10_029
crossref_primary_10_1016_j_compbiomed_2022_106187
crossref_primary_10_1016_j_resinv_2020_01_001
crossref_primary_10_1016_j_yrmex_2019_100011
crossref_primary_10_1183_16000617_0193_2022
crossref_primary_10_3390_biomedicines11030740
crossref_primary_10_1183_20734735_0267_2022
crossref_primary_10_2147_COPD_S257965
crossref_primary_10_2174_1874838402011010001
crossref_primary_10_2147_COPD_S339889
crossref_primary_10_1183_13993003_02006_2021
crossref_primary_10_1097_RTI_0000000000000568
crossref_primary_10_36416_1806_3756_e20230360
crossref_primary_10_1177_20406223211028768
crossref_primary_10_1007_s40291_019_00413_1
crossref_primary_10_1016_S2213_2600_18_30005_5
crossref_primary_10_1080_24745332_2020_1867487
crossref_primary_10_1080_07853890_2023_2285924
crossref_primary_10_1371_journal_pone_0218932
crossref_primary_10_2147_COPD_S317177
crossref_primary_10_2147_COPD_S294968
crossref_primary_10_4046_trd_2020_0033
crossref_primary_10_1164_rccm_202305_0811ED
crossref_primary_10_1111_1440_1681_13417
crossref_primary_10_5694_mja2_50138
crossref_primary_10_3390_biomedicines11051395
crossref_primary_10_1080_15412555_2019_1704231
crossref_primary_10_1016_j_amjms_2021_02_013
crossref_primary_10_1016_j_jaci_2018_04_010
crossref_primary_10_1016_j_saa_2022_120906
crossref_primary_10_1016_j_ccm_2020_05_006
crossref_primary_10_2147_COPD_S434040
crossref_primary_10_1016_j_rmed_2018_10_027
crossref_primary_10_1186_s12890_023_02607_0
crossref_primary_10_1164_rccm_201801_0113UP
crossref_primary_10_20538_1682_0363_2020_1_59_66
crossref_primary_10_1016_j_hrtlng_2022_10_018
crossref_primary_10_1183_13993003_04590_2020
crossref_primary_10_2147_COPD_S229904
crossref_primary_10_3390_biomedicines10092128
crossref_primary_10_1164_rccm_201912_2384PP
crossref_primary_10_1016_j_biopha_2020_110445
crossref_primary_10_1016_j_chest_2019_12_044
crossref_primary_10_4103_jfmpc_jfmpc_2037_20
crossref_primary_10_1016_S2213_2600_18_30331_X
crossref_primary_10_3390_biomedicines10061412
crossref_primary_10_1016_S2213_2600_18_30365_5
crossref_primary_10_4046_trd_2020_0026
crossref_primary_10_1183_13993003_00332_2019
crossref_primary_10_1016_j_amjmed_2020_07_004
crossref_primary_10_2147_COPD_S433183
crossref_primary_10_26442_00403660_2019_10_000426
crossref_primary_10_1016_j_arbr_2019_12_021
crossref_primary_10_1164_rccm_201807_1336LE
crossref_primary_10_1183_13993003_01291_2018
crossref_primary_10_36416_1806_3756_e20220183
crossref_primary_10_3390_biomedicines9070772
crossref_primary_10_1183_13993003_00164_2019
crossref_primary_10_1016_j_chest_2018_07_028
crossref_primary_10_1016_j_opresp_2023_100271
crossref_primary_10_3390_jcm9092745
crossref_primary_10_1007_s00408_021_00492_0
crossref_primary_10_29262_ram_v69iSupl1_1046
crossref_primary_10_3389_fphar_2021_740803
crossref_primary_10_4236_ojrd_2021_113010
crossref_primary_10_26442_00403660_2022_03_201406
crossref_primary_10_1513_AnnalsATS_201807_441OC
crossref_primary_10_1016_j_hrtlng_2022_05_012
crossref_primary_10_2147_COPD_S289920
crossref_primary_10_1097_CM9_0000000000002456
crossref_primary_10_1016_j_lfs_2020_118973
crossref_primary_10_3390_biomedicines10040786
crossref_primary_10_1007_s15033_019_1314_7
crossref_primary_10_1183_13993003_02225_2019
crossref_primary_10_1186_s12890_024_03062_1
crossref_primary_10_3390_jcm9082670
crossref_primary_10_1016_j_chest_2020_02_073
crossref_primary_10_3390_jcm9082397
crossref_primary_10_1016_j_arbr_2019_09_001
crossref_primary_10_1183_20734735_026318
crossref_primary_10_12677_ACM_2022_125621
crossref_primary_10_2147_COPD_S305380
crossref_primary_10_2147_COPD_S366911
crossref_primary_10_1097_MCP_0000000000000649
crossref_primary_10_33590_emjrespir_10311461
crossref_primary_10_3390_diagnostics11091668
crossref_primary_10_1183_16000617_0084_2023
crossref_primary_10_3390_diagnostics11030404
crossref_primary_10_1164_rccm_202303_0455CI
crossref_primary_10_7326_M20_1058
crossref_primary_10_1080_15412555_2021_1985989
crossref_primary_10_1111_all_13642
crossref_primary_10_1016_j_arbres_2019_12_015
crossref_primary_10_1136_thoraxjnl_2019_214484
crossref_primary_10_2147_COPD_S268018
crossref_primary_10_1136_bmjresp_2023_001634
crossref_primary_10_1183_13993003_00651_2019
crossref_primary_10_1016_S2213_2600_21_00079_5
crossref_primary_10_1183_13993003_00150_2024
crossref_primary_10_1186_s12931_024_02793_3
crossref_primary_10_1164_rccm_201802_0328RR
crossref_primary_10_1186_s12890_020_1086_1
crossref_primary_10_12677_ACM_2022_1271003
crossref_primary_10_2147_COPD_S408307
crossref_primary_10_1186_s12890_022_02254_x
crossref_primary_10_23950_jcmk_14640
crossref_primary_10_1186_s12931_023_02584_2
crossref_primary_10_3389_fphar_2022_802123
crossref_primary_10_1016_j_ccm_2020_06_007
crossref_primary_10_3390_diagnostics11071189
crossref_primary_10_1164_rccm_202201_0209PP
crossref_primary_10_1111_all_14741
crossref_primary_10_1164_rccm_202101_0169ED
crossref_primary_10_1159_000515562
crossref_primary_10_1016_j_arbres_2021_11_013
crossref_primary_10_1016_S2213_2600_19_30338_8
crossref_primary_10_1186_s12931_021_01849_y
crossref_primary_10_1183_23120541_00097_2021
crossref_primary_10_1016_j_arbres_2019_09_015
crossref_primary_10_1183_23120541_00022_2018
crossref_primary_10_1016_j_jaip_2020_07_055
crossref_primary_10_1016_j_anai_2023_01_024
crossref_primary_10_18093_0869_0189_2019_29_3_365_374
crossref_primary_10_1080_08820139_2024_2334296
crossref_primary_10_2147_COPD_S273987
crossref_primary_10_20473_jr_v7_I_2_2021_59_64
crossref_primary_10_1097_MCP_0000000000000660
crossref_primary_10_3390_diagnostics13010141
crossref_primary_10_1016_j_waojou_2021_100618
crossref_primary_10_3389_fphar_2019_01422
crossref_primary_10_1016_S0140_6736_22_00470_6
crossref_primary_10_12677_ACM_2022_1291252
crossref_primary_10_1080_15412555_2019_1675150
crossref_primary_10_1080_24745332_2021_1880227
crossref_primary_10_3389_fmed_2019_00282
crossref_primary_10_21292_2075_1230_2018_96_10_54_61
crossref_primary_10_1183_23120541_00699_2020
crossref_primary_10_1164_rccm_202301_0149OC
crossref_primary_10_1186_s12931_019_1230_8
crossref_primary_10_1183_16000617_0022_2018
crossref_primary_10_2174_1389450120666190808141625
crossref_primary_10_1016_S2213_2600_17_30445_9
crossref_primary_10_1164_rccm_202301_0085OC
ContentType Journal Article
Contributor Criner, Gerard J
LaVange, Lisa M
Paine, 3rd, Robert
Barr, R Graham
Hansel, Nadia N
Kaner, Robert J
Han, MeiLan K
Tashkin, Donald P
Bowler, Russell P
Boucher, Richard C
Carretta, Elizabeth E
Doerschuk, Claire M
Couper, David J
Newell, Jr, John D
Dransfield, Mark T
Lazarus, Stephen C
Freeman, Christine M
Putcha, Nirupama
Wells, J Michael
Bleecker, Eugene R
Christenson, Stephanie A
Curtis, Jeffrey L
Anderson, Wayne H
Kleerup, Eric C
Martinez, Fernando J
Hastie, Annette T
Hoffman, Eric A
Alexis, Neil E
Oelsner, Elizabeth C
Krishnan, Jerry A
Meyers, Deborah A
O'Neal, Wanda K
Crystal, Ronald G
Cooper, Christopher B
Rennard, Stephen I
Scholand, Mary Beth
Comellas, Alejandro P
Woodruff, Prescott G
Wise, Robert A
Kanner, Richard E
Contributor_xml – sequence: 1
  givenname: Neil E
  surname: Alexis
  fullname: Alexis, Neil E
– sequence: 2
  givenname: Wayne H
  surname: Anderson
  fullname: Anderson, Wayne H
– sequence: 3
  givenname: R Graham
  surname: Barr
  fullname: Barr, R Graham
– sequence: 4
  givenname: Eugene R
  surname: Bleecker
  fullname: Bleecker, Eugene R
– sequence: 5
  givenname: Richard C
  surname: Boucher
  fullname: Boucher, Richard C
– sequence: 6
  givenname: Russell P
  surname: Bowler
  fullname: Bowler, Russell P
– sequence: 7
  givenname: Elizabeth E
  surname: Carretta
  fullname: Carretta, Elizabeth E
– sequence: 8
  givenname: Stephanie A
  surname: Christenson
  fullname: Christenson, Stephanie A
– sequence: 9
  givenname: Alejandro P
  surname: Comellas
  fullname: Comellas, Alejandro P
– sequence: 10
  givenname: Christopher B
  surname: Cooper
  fullname: Cooper, Christopher B
– sequence: 11
  givenname: David J
  surname: Couper
  fullname: Couper, David J
– sequence: 12
  givenname: Gerard J
  surname: Criner
  fullname: Criner, Gerard J
– sequence: 13
  givenname: Ronald G
  surname: Crystal
  fullname: Crystal, Ronald G
– sequence: 14
  givenname: Jeffrey L
  surname: Curtis
  fullname: Curtis, Jeffrey L
– sequence: 15
  givenname: Claire M
  surname: Doerschuk
  fullname: Doerschuk, Claire M
– sequence: 16
  givenname: Mark T
  surname: Dransfield
  fullname: Dransfield, Mark T
– sequence: 17
  givenname: Christine M
  surname: Freeman
  fullname: Freeman, Christine M
– sequence: 18
  givenname: MeiLan K
  surname: Han
  fullname: Han, MeiLan K
– sequence: 19
  givenname: Nadia N
  surname: Hansel
  fullname: Hansel, Nadia N
– sequence: 20
  givenname: Annette T
  surname: Hastie
  fullname: Hastie, Annette T
– sequence: 21
  givenname: Eric A
  surname: Hoffman
  fullname: Hoffman, Eric A
– sequence: 22
  givenname: Robert J
  surname: Kaner
  fullname: Kaner, Robert J
– sequence: 23
  givenname: Richard E
  surname: Kanner
  fullname: Kanner, Richard E
– sequence: 24
  givenname: Eric C
  surname: Kleerup
  fullname: Kleerup, Eric C
– sequence: 25
  givenname: Jerry A
  surname: Krishnan
  fullname: Krishnan, Jerry A
– sequence: 26
  givenname: Lisa M
  surname: LaVange
  fullname: LaVange, Lisa M
– sequence: 27
  givenname: Stephen C
  surname: Lazarus
  fullname: Lazarus, Stephen C
– sequence: 28
  givenname: Fernando J
  surname: Martinez
  fullname: Martinez, Fernando J
– sequence: 29
  givenname: Deborah A
  surname: Meyers
  fullname: Meyers, Deborah A
– sequence: 30
  givenname: John D
  surname: Newell, Jr
  fullname: Newell, Jr, John D
– sequence: 31
  givenname: Elizabeth C
  surname: Oelsner
  fullname: Oelsner, Elizabeth C
– sequence: 32
  givenname: Wanda K
  surname: O'Neal
  fullname: O'Neal, Wanda K
– sequence: 33
  givenname: Robert
  surname: Paine, 3rd
  fullname: Paine, 3rd, Robert
– sequence: 34
  givenname: Nirupama
  surname: Putcha
  fullname: Putcha, Nirupama
– sequence: 35
  givenname: Stephen I
  surname: Rennard
  fullname: Rennard, Stephen I
– sequence: 36
  givenname: Donald P
  surname: Tashkin
  fullname: Tashkin, Donald P
– sequence: 37
  givenname: Mary Beth
  surname: Scholand
  fullname: Scholand, Mary Beth
– sequence: 38
  givenname: J Michael
  surname: Wells
  fullname: Wells, J Michael
– sequence: 39
  givenname: Robert A
  surname: Wise
  fullname: Wise, Robert A
– sequence: 40
  givenname: Prescott G
  surname: Woodruff
  fullname: Woodruff, Prescott G
Copyright Copyright © 2017 Elsevier Ltd. All rights reserved.
Copyright_xml – notice: Copyright © 2017 Elsevier Ltd. All rights reserved.
CorporateAuthor SPIROMICS investigators
CorporateAuthor_xml – name: SPIROMICS investigators
DBID CGR
CUY
CVF
ECM
EIF
NPM
DOI 10.1016/S2213-2600(17)30432-0
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
DatabaseTitleList MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod no_fulltext_linktorsrc
Discipline Medicine
EISSN 2213-2619
ExternalDocumentID 29146301
Genre Multicenter Study
Journal Article
Observational Study
GrantInformation National Institutes of Health, and National Heart, Lung, and Blood Institute.
GrantInformation_xml – fundername: NHLBI NIH HHS
  grantid: HHSN268200900017C
– fundername: NIEHS NIH HHS
  grantid: P30 ES005605
– fundername: NHLBI NIH HHS
  grantid: HHSN268200900019C
– fundername: NHLBI NIH HHS
  grantid: HHSN268200900020C
– fundername: NHLBI NIH HHS
  grantid: U01 HL137880
– fundername: NHLBI NIH HHS
  grantid: HHSN268200900015C
– fundername: NHLBI NIH HHS
  grantid: HHSN268200900013C
– fundername: CSRD VA
  grantid: I01 CX000911
– fundername: NHLBI NIH HHS
  grantid: R01 HL122438
– fundername: NHLBI NIH HHS
  grantid: K24 HL137013
GroupedDBID .1-
.FO
0R~
1P~
4.4
457
53G
AAEDT
AAEDW
AALRI
AAMRU
AAQFI
AAQQT
AAXUO
ABJNI
ACGFS
ADBBV
AENEX
AFRHN
AFTJW
AITUG
AJUYK
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
CGR
CUY
CVF
EBS
ECM
EIF
EJD
FDB
HZ~
M41
NPM
O9-
OI-
OU.
ROL
TLN
Z5R
ID FETCH-LOGICAL-c412t-41e6a3ca592f749a44e49a20eae3fdf11b05d13e05940f1b638ecc5ab1d51df52
IngestDate Sat Nov 02 12:15:34 EDT 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Language English
License Copyright © 2017 Elsevier Ltd. All rights reserved.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c412t-41e6a3ca592f749a44e49a20eae3fdf11b05d13e05940f1b638ecc5ab1d51df52
OpenAccessLink https://cdr.lib.unc.edu/downloads/b5644z35f
PMID 29146301
ParticipantIDs pubmed_primary_29146301
PublicationCentury 2000
PublicationDate 2017-12-00
PublicationDateYYYYMMDD 2017-12-01
PublicationDate_xml – month: 12
  year: 2017
  text: 2017-12-00
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
PublicationTitle The lancet respiratory medicine
PublicationTitleAlternate Lancet Respir Med
PublicationYear 2017
References 29146300 - Lancet Respir Med. 2017 Dec;5(12):913-914. doi: 10.1016/S2213-2600(17)30445-9
30785763 - Am J Respir Crit Care Med. 2019 Apr 1;199(7):913-916. doi: 10.1164/rccm.201804-0659RR
References_xml
SSID ssj0000884204
Score 2.6046097
Snippet Increased concentrations of eosinophils in blood and sputum in chronic obstructive pulmonary disease (COPD) have been associated with increased frequency of...
SourceID pubmed
SourceType Index Database
StartPage 956
SubjectTerms Adrenal Cortex Hormones - adverse effects
Aged
Biomarkers - blood
Bronchodilator Agents - therapeutic use
Eosinophils
Female
Forced Expiratory Volume
Humans
Leukocyte Count
Lung - physiopathology
Male
Middle Aged
Pulmonary Disease, Chronic Obstructive - blood
Pulmonary Disease, Chronic Obstructive - drug therapy
ROC Curve
Severity of Illness Index
Sputum - cytology
Sputum - immunology
Title Association of sputum and blood eosinophil concentrations with clinical measures of COPD severity: an analysis of the SPIROMICS cohort
URI https://www.ncbi.nlm.nih.gov/pubmed/29146301
Volume 5
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1La9wwEBabFkovpe_0iQ49tCxuLVm25d7CpmVbSBqaBHILki2RhcReuvYlPyA_r7-pM5K9VrYP2l6EsfAgNJ9nRqN5EPLKisJwI1SkMw4HFJtlkS5yC797LrRMssq6IJq9_Wx-LD6fpCeTyfcgaqlr9dvy8pd5Jf_DVXgHfMUs2X_g7JoovIBn4C-MwGEY_4rHwd6i0bdadm3nW164ePSpaVaLulmeLbAGSO3jMH3km484H7IiL7yj0EV1zL4c7E5BXRrsaudSoTFceaxcgobq4cGnr6774RT761537yPuzl1i9fRbcI2_eYc_V6v-amQHE4NaM0Zr-8oG3rPdu7mb8fZq1mH_6CAJbbp2X-82YMuWZ50T8LNztcCOBaFbA1TlGCJinPjjnCURnu9CWZ2GkOSB4C18efKfFIL3TRz2xLDxtcS6UkWCpQijOPwGtnR54ZDCC9AfiV_Nn2c3anUPU1tkK5codfd735GzC6QUPBZjGtm7cVmvWf6mXxKWp-7JbBx1nMlzdJfc6c8qdMcD7x6ZmPo-ubXXc_IBuQrwRxtLPf4o8Is6_NERf_Q6_ijijw74owP-kAjijw74ew_E6IA-nAX00TX6qEffQ3L88cPRbB71fT2iUjDeRoKZTCWlSgsOkqBQQhgYeWyUSWxlGdNxWrHEYCmh2DINKgIETao0q1JW2ZQ_IjfqpjbbhFZlWYEVWkqdJ0JJpmSqpABhozmXqS2fkMd-B0-XvnjL6bC3T38784zcHgH5nNy0IC3MCzA9W_3ScfQH8MGFFg
link.rule.ids 783
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Association+of+sputum+and+blood+eosinophil+concentrations+with+clinical+measures+of+COPD+severity%3A+an+analysis+of+the+SPIROMICS+cohort&rft.jtitle=The+lancet+respiratory+medicine&rft.au=Hastie%2C+Annette+T&rft.au=Martinez%2C+Fernando+J&rft.au=Curtis%2C+Jeffrey+L&rft.au=Doerschuk%2C+Claire+M&rft.date=2017-12-01&rft.eissn=2213-2619&rft.volume=5&rft.issue=12&rft.spage=956&rft_id=info:doi/10.1016%2FS2213-2600%2817%2930432-0&rft_id=info%3Apmid%2F29146301&rft_id=info%3Apmid%2F29146301&rft.externalDocID=29146301