Cargando…

Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care

Rationale. Pneumonia is a leading cause of postoperative complication. Objective. To examine trends, factors, and mortality of postoperative pneumonia following major cancer surgery (MCS). Methods. From 1999 to 2009, patients undergoing major forms of MCS were identified using the Nationwide Inpatie...

Descripción completa

Detalles Bibliográficos
Autores principales: Trinh, Vincent Q., Ravi, Praful, Abd-El-Barr, Abd-El-Rahman M., Jhaveri, Jay K., Gervais, Mai-Kim, Meyer, Christian P., Hanske, Julian, Sammon, Jesse D., Trinh, Quoc-Dien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906186/
https://www.ncbi.nlm.nih.gov/pubmed/27445554
http://dx.doi.org/10.1155/2016/6019416
_version_ 1782437378415132672
author Trinh, Vincent Q.
Ravi, Praful
Abd-El-Barr, Abd-El-Rahman M.
Jhaveri, Jay K.
Gervais, Mai-Kim
Meyer, Christian P.
Hanske, Julian
Sammon, Jesse D.
Trinh, Quoc-Dien
author_facet Trinh, Vincent Q.
Ravi, Praful
Abd-El-Barr, Abd-El-Rahman M.
Jhaveri, Jay K.
Gervais, Mai-Kim
Meyer, Christian P.
Hanske, Julian
Sammon, Jesse D.
Trinh, Quoc-Dien
author_sort Trinh, Vincent Q.
collection PubMed
description Rationale. Pneumonia is a leading cause of postoperative complication. Objective. To examine trends, factors, and mortality of postoperative pneumonia following major cancer surgery (MCS). Methods. From 1999 to 2009, patients undergoing major forms of MCS were identified using the Nationwide Inpatient Sample (NIS), a Healthcare Cost and Utilization Project (HCUP) subset, resulting in weighted 2,508,916 patients. Measurements. Determinants were examined using logistic regression analysis adjusted for clustering using generalized estimating equations. Results. From 1999 to 2009, 87,867 patients experienced pneumonia following MCS and prevalence increased by 29.7%. The estimated annual percent change (EAPC) of mortality after MCS was −2.4% (95% CI: −2.9 to −2.0, P < 0.001); the EAPC of mortality associated with pneumonia after MCS was −2.2% (95% CI: −3.6 to 0.9, P = 0.01). Characteristics associated with higher odds of pneumonia included older age, male, comorbidities, nonprivate insurance, lower income, hospital volume, urban, Northeast region, and nonteaching status. Pneumonia conferred a 6.3-fold higher odd of mortality. Conclusions. Increasing prevalence of pneumonia after MCS, associated with stable mortality rates, may result from either increased diagnosis or more stringent coding. We identified characteristics associated with pneumonia after MCS which could help identify at-risk patients in order to reduce pneumonia after MCS, as it greatly increases the odds of mortality.
format Online
Article
Text
id pubmed-4906186
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-49061862016-06-30 Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care Trinh, Vincent Q. Ravi, Praful Abd-El-Barr, Abd-El-Rahman M. Jhaveri, Jay K. Gervais, Mai-Kim Meyer, Christian P. Hanske, Julian Sammon, Jesse D. Trinh, Quoc-Dien Can Respir J Research Article Rationale. Pneumonia is a leading cause of postoperative complication. Objective. To examine trends, factors, and mortality of postoperative pneumonia following major cancer surgery (MCS). Methods. From 1999 to 2009, patients undergoing major forms of MCS were identified using the Nationwide Inpatient Sample (NIS), a Healthcare Cost and Utilization Project (HCUP) subset, resulting in weighted 2,508,916 patients. Measurements. Determinants were examined using logistic regression analysis adjusted for clustering using generalized estimating equations. Results. From 1999 to 2009, 87,867 patients experienced pneumonia following MCS and prevalence increased by 29.7%. The estimated annual percent change (EAPC) of mortality after MCS was −2.4% (95% CI: −2.9 to −2.0, P < 0.001); the EAPC of mortality associated with pneumonia after MCS was −2.2% (95% CI: −3.6 to 0.9, P = 0.01). Characteristics associated with higher odds of pneumonia included older age, male, comorbidities, nonprivate insurance, lower income, hospital volume, urban, Northeast region, and nonteaching status. Pneumonia conferred a 6.3-fold higher odd of mortality. Conclusions. Increasing prevalence of pneumonia after MCS, associated with stable mortality rates, may result from either increased diagnosis or more stringent coding. We identified characteristics associated with pneumonia after MCS which could help identify at-risk patients in order to reduce pneumonia after MCS, as it greatly increases the odds of mortality. Hindawi Publishing Corporation 2016 2016-05-31 /pmc/articles/PMC4906186/ /pubmed/27445554 http://dx.doi.org/10.1155/2016/6019416 Text en Copyright © 2016 Vincent Q. Trinh et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Trinh, Vincent Q.
Ravi, Praful
Abd-El-Barr, Abd-El-Rahman M.
Jhaveri, Jay K.
Gervais, Mai-Kim
Meyer, Christian P.
Hanske, Julian
Sammon, Jesse D.
Trinh, Quoc-Dien
Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title_full Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title_fullStr Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title_full_unstemmed Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title_short Pneumonia after Major Cancer Surgery: Temporal Trends and Patterns of Care
title_sort pneumonia after major cancer surgery: temporal trends and patterns of care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906186/
https://www.ncbi.nlm.nih.gov/pubmed/27445554
http://dx.doi.org/10.1155/2016/6019416
work_keys_str_mv AT trinhvincentq pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT ravipraful pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT abdelbarrabdelrahmanm pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT jhaverijayk pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT gervaismaikim pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT meyerchristianp pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT hanskejulian pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT sammonjessed pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare
AT trinhquocdien pneumoniaaftermajorcancersurgerytemporaltrendsandpatternsofcare