Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population‐based study
Objective Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer. Methods We prospect...
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Veröffentlicht in: | European journal of haematology 2019-07, Vol.103 (1), p.56-63 |
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creator | Jacobsen, Annie M. Poynter, Jenny N. Richardson, Michaela R. Nguyen, Phuong L. Hirsch, Betsy Cioc, Adina Roesler, Michelle A. Warlick, Erica D. |
description | Objective
Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer.
Methods
We prospectively enrolled adults with a new MDS diagnosis in a population‐based case‐control study. Logistic regression was used to calculate odds ratios and 95% confidence intervals for potential predictors of early mortality. Subgroup analyses were conducted within the following groups: high‐/very‐high‐risk IPSS‐R; very‐low‐/low‐/intermediate‐risk IPSS‐R; treated patients; and supportive care only patients.
Results
We observed early mortality in those with abnormal cytogenetics (OR: 3.36, 95% CI: 1.52‐7.46), three or greater cytogenetic abnormalities (OR: 3.48, 95% CI: 1.51‐7.99), treatment at a community medical center (versus academic) (OR: 2.55, 95% CI: 1.18‐5.47), and with 2‐3 concurrent medical comorbidities (OR: 2.14, 95% CI: 1.08‐4.22). Similarly, in subgroup analyses, abnormal cytogenetics remained the main predictor of early mortality.
Conclusion
Complex cytogenetics and prognostic risk category have been associated with early mortality without intervention. Our data confirm these associations in a large, prospectively followed cohort and highlight the significance of cytogenetic abnormalities and complexity regardless of IPSS‐R risk categorization or treatment. |
doi_str_mv | 10.1111/ejh.13243 |
format | Article |
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Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer.
Methods
We prospectively enrolled adults with a new MDS diagnosis in a population‐based case‐control study. Logistic regression was used to calculate odds ratios and 95% confidence intervals for potential predictors of early mortality. Subgroup analyses were conducted within the following groups: high‐/very‐high‐risk IPSS‐R; very‐low‐/low‐/intermediate‐risk IPSS‐R; treated patients; and supportive care only patients.
Results
We observed early mortality in those with abnormal cytogenetics (OR: 3.36, 95% CI: 1.52‐7.46), three or greater cytogenetic abnormalities (OR: 3.48, 95% CI: 1.51‐7.99), treatment at a community medical center (versus academic) (OR: 2.55, 95% CI: 1.18‐5.47), and with 2‐3 concurrent medical comorbidities (OR: 2.14, 95% CI: 1.08‐4.22). Similarly, in subgroup analyses, abnormal cytogenetics remained the main predictor of early mortality.
Conclusion
Complex cytogenetics and prognostic risk category have been associated with early mortality without intervention. Our data confirm these associations in a large, prospectively followed cohort and highlight the significance of cytogenetic abnormalities and complexity regardless of IPSS‐R risk categorization or treatment.</description><identifier>ISSN: 0902-4441</identifier><identifier>ISSN: 1600-0609</identifier><identifier>EISSN: 1600-0609</identifier><identifier>DOI: 10.1111/ejh.13243</identifier><identifier>PMID: 31058390</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Aged ; Case-Control Studies ; Chromosome Aberrations ; Cytogenetics ; Diagnosis ; Factor Analysis, Statistical ; Female ; Humans ; Male ; Middle Aged ; Minnesota - epidemiology ; Mortality ; Myelodysplastic syndrome ; Myelodysplastic Syndromes - diagnosis ; Myelodysplastic Syndromes - epidemiology ; Myelodysplastic Syndromes - mortality ; Myelodysplastic Syndromes - therapy ; Odds Ratio ; Patients ; Population studies ; Population Surveillance ; Population-based studies ; Prognosis ; prospective ; Socioeconomic Factors ; survival</subject><ispartof>European journal of haematology, 2019-07, Vol.103 (1), p.56-63</ispartof><rights>2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>Copyright © 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4433-e285a1c01d23dfb38a927cd604e9cbe3d6e58e2e6d2413b7d0fd24fb10745c3b3</citedby><cites>FETCH-LOGICAL-c4433-e285a1c01d23dfb38a927cd604e9cbe3d6e58e2e6d2413b7d0fd24fb10745c3b3</cites><orcidid>0000-0002-6644-6932 ; 0000-0003-3888-2021</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fejh.13243$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fejh.13243$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,778,782,883,1414,27907,27908,45557,45558</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31058390$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jacobsen, Annie M.</creatorcontrib><creatorcontrib>Poynter, Jenny N.</creatorcontrib><creatorcontrib>Richardson, Michaela R.</creatorcontrib><creatorcontrib>Nguyen, Phuong L.</creatorcontrib><creatorcontrib>Hirsch, Betsy</creatorcontrib><creatorcontrib>Cioc, Adina</creatorcontrib><creatorcontrib>Roesler, Michelle A.</creatorcontrib><creatorcontrib>Warlick, Erica D.</creatorcontrib><title>Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population‐based study</title><title>European journal of haematology</title><addtitle>Eur J Haematol</addtitle><description>Objective
Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer.
Methods
We prospectively enrolled adults with a new MDS diagnosis in a population‐based case‐control study. Logistic regression was used to calculate odds ratios and 95% confidence intervals for potential predictors of early mortality. Subgroup analyses were conducted within the following groups: high‐/very‐high‐risk IPSS‐R; very‐low‐/low‐/intermediate‐risk IPSS‐R; treated patients; and supportive care only patients.
Results
We observed early mortality in those with abnormal cytogenetics (OR: 3.36, 95% CI: 1.52‐7.46), three or greater cytogenetic abnormalities (OR: 3.48, 95% CI: 1.51‐7.99), treatment at a community medical center (versus academic) (OR: 2.55, 95% CI: 1.18‐5.47), and with 2‐3 concurrent medical comorbidities (OR: 2.14, 95% CI: 1.08‐4.22). Similarly, in subgroup analyses, abnormal cytogenetics remained the main predictor of early mortality.
Conclusion
Complex cytogenetics and prognostic risk category have been associated with early mortality without intervention. Our data confirm these associations in a large, prospectively followed cohort and highlight the significance of cytogenetic abnormalities and complexity regardless of IPSS‐R risk categorization or treatment.</description><subject>Aged</subject><subject>Case-Control Studies</subject><subject>Chromosome Aberrations</subject><subject>Cytogenetics</subject><subject>Diagnosis</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Minnesota - epidemiology</subject><subject>Mortality</subject><subject>Myelodysplastic syndrome</subject><subject>Myelodysplastic Syndromes - diagnosis</subject><subject>Myelodysplastic Syndromes - epidemiology</subject><subject>Myelodysplastic Syndromes - mortality</subject><subject>Myelodysplastic Syndromes - therapy</subject><subject>Odds Ratio</subject><subject>Patients</subject><subject>Population studies</subject><subject>Population Surveillance</subject><subject>Population-based studies</subject><subject>Prognosis</subject><subject>prospective</subject><subject>Socioeconomic Factors</subject><subject>survival</subject><issn>0902-4441</issn><issn>1600-0609</issn><issn>1600-0609</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10c1qFTEYBuAgij1WF96ABNzYxbT5mz8XhVJaqxTc6Dpkkm9Oc8gkY5KxzM5L8Bp7JUZPLSqYTQJ5ePmSF6GXlBzTsk5gd3NMORP8EdrQhpCKNKR_jDakJ6wSQtAD9CylHSGE9bR9ig44JXXHe7JB_lLpHGLCcwRjdbZ-i0FFt-IpxKyczStWY4aIPdxiY9XWh2QTDiOeVnDBrGl2KmWrcVq9iWGCt_gMz2FenMo2-Ltv3weVwOCUF7M-R09G5RK8uN8P0efLi0_nV9X1x3fvz8-uKy0E5xWwrlZUE2oYN-PAO9WzVpuGCOj1ANw0UHfAoDFMUD60hozlNA6UtKLWfOCH6HSfOy_DBEaDz1E5OUc7qbjKoKz8-8bbG7kNX2XTlb_peAl4cx8Qw5cFUpaTTRqcUx7CkiRjnBFRJCv09T90F5boy_OKErRv6pY1RR3tlY4hpQjjwzCUyJ8tytKi_NVisa_-nP5B_q6tgJM9uLUO1v8nyYsPV_vIHw-4qlI</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Jacobsen, Annie M.</creator><creator>Poynter, Jenny N.</creator><creator>Richardson, Michaela R.</creator><creator>Nguyen, Phuong L.</creator><creator>Hirsch, Betsy</creator><creator>Cioc, Adina</creator><creator>Roesler, Michelle A.</creator><creator>Warlick, Erica D.</creator><general>Wiley Subscription Services, Inc</general><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>7QG</scope><scope>7T5</scope><scope>7TM</scope><scope>7TO</scope><scope>H94</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6644-6932</orcidid><orcidid>https://orcid.org/0000-0003-3888-2021</orcidid></search><sort><creationdate>201907</creationdate><title>Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population‐based study</title><author>Jacobsen, Annie M. ; Poynter, Jenny N. ; Richardson, Michaela R. ; Nguyen, Phuong L. ; Hirsch, Betsy ; Cioc, Adina ; Roesler, Michelle A. ; Warlick, Erica D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4433-e285a1c01d23dfb38a927cd604e9cbe3d6e58e2e6d2413b7d0fd24fb10745c3b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Case-Control Studies</topic><topic>Chromosome Aberrations</topic><topic>Cytogenetics</topic><topic>Diagnosis</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Minnesota - epidemiology</topic><topic>Mortality</topic><topic>Myelodysplastic syndrome</topic><topic>Myelodysplastic Syndromes - diagnosis</topic><topic>Myelodysplastic Syndromes - epidemiology</topic><topic>Myelodysplastic Syndromes - mortality</topic><topic>Myelodysplastic Syndromes - therapy</topic><topic>Odds Ratio</topic><topic>Patients</topic><topic>Population studies</topic><topic>Population Surveillance</topic><topic>Population-based studies</topic><topic>Prognosis</topic><topic>prospective</topic><topic>Socioeconomic Factors</topic><topic>survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jacobsen, Annie M.</creatorcontrib><creatorcontrib>Poynter, Jenny N.</creatorcontrib><creatorcontrib>Richardson, Michaela R.</creatorcontrib><creatorcontrib>Nguyen, Phuong L.</creatorcontrib><creatorcontrib>Hirsch, Betsy</creatorcontrib><creatorcontrib>Cioc, Adina</creatorcontrib><creatorcontrib>Roesler, Michelle A.</creatorcontrib><creatorcontrib>Warlick, Erica D.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of haematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jacobsen, Annie M.</au><au>Poynter, Jenny N.</au><au>Richardson, Michaela R.</au><au>Nguyen, Phuong L.</au><au>Hirsch, Betsy</au><au>Cioc, Adina</au><au>Roesler, Michelle A.</au><au>Warlick, Erica D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population‐based study</atitle><jtitle>European journal of haematology</jtitle><addtitle>Eur J Haematol</addtitle><date>2019-07</date><risdate>2019</risdate><volume>103</volume><issue>1</issue><spage>56</spage><epage>63</epage><pages>56-63</pages><issn>0902-4441</issn><issn>1600-0609</issn><eissn>1600-0609</eissn><abstract>Objective
Little prospective data regarding factors determining patient outcomes in myelodysplastic syndromes (MDS) are available. To establish features of early mortality in MDS, we compare characteristics of patients dying within 1 year of diagnosis with those surviving longer.
Methods
We prospectively enrolled adults with a new MDS diagnosis in a population‐based case‐control study. Logistic regression was used to calculate odds ratios and 95% confidence intervals for potential predictors of early mortality. Subgroup analyses were conducted within the following groups: high‐/very‐high‐risk IPSS‐R; very‐low‐/low‐/intermediate‐risk IPSS‐R; treated patients; and supportive care only patients.
Results
We observed early mortality in those with abnormal cytogenetics (OR: 3.36, 95% CI: 1.52‐7.46), three or greater cytogenetic abnormalities (OR: 3.48, 95% CI: 1.51‐7.99), treatment at a community medical center (versus academic) (OR: 2.55, 95% CI: 1.18‐5.47), and with 2‐3 concurrent medical comorbidities (OR: 2.14, 95% CI: 1.08‐4.22). Similarly, in subgroup analyses, abnormal cytogenetics remained the main predictor of early mortality.
Conclusion
Complex cytogenetics and prognostic risk category have been associated with early mortality without intervention. Our data confirm these associations in a large, prospectively followed cohort and highlight the significance of cytogenetic abnormalities and complexity regardless of IPSS‐R risk categorization or treatment.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31058390</pmid><doi>10.1111/ejh.13243</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6644-6932</orcidid><orcidid>https://orcid.org/0000-0003-3888-2021</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Case-Control Studies Chromosome Aberrations Cytogenetics Diagnosis Factor Analysis, Statistical Female Humans Male Middle Aged Minnesota - epidemiology Mortality Myelodysplastic syndrome Myelodysplastic Syndromes - diagnosis Myelodysplastic Syndromes - epidemiology Myelodysplastic Syndromes - mortality Myelodysplastic Syndromes - therapy Odds Ratio Patients Population studies Population Surveillance Population-based studies Prognosis prospective Socioeconomic Factors survival |
title | Factors predicting early mortality after new diagnosis of myelodysplastic syndrome: A population‐based study |
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