Cargando…

Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database

Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) has significant health implications. Anemia is usually an unseen comorbidity, which could significantly affect outcomes in AECOPD patients, and there is limited data to support this. We conducted this study to assess th...

Descripción completa

Detalles Bibliográficos
Autores principales: Sonani, Hardik, Dhaduk, Kartik, Dankhara, Nilesh, Viroliya, Krina, Desai, Chintan H, Sonani, Ashish A, Patel, Aditya S, Palabindala, Venkataraman, Goti, Ashish M, Desai, Jagdish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974142/
https://www.ncbi.nlm.nih.gov/pubmed/36865975
http://dx.doi.org/10.7759/cureus.34343
_version_ 1784898674444206080
author Sonani, Hardik
Dhaduk, Kartik
Dankhara, Nilesh
Viroliya, Krina
Desai, Chintan H
Sonani, Ashish A
Patel, Aditya S
Palabindala, Venkataraman
Goti, Ashish M
Desai, Jagdish
author_facet Sonani, Hardik
Dhaduk, Kartik
Dankhara, Nilesh
Viroliya, Krina
Desai, Chintan H
Sonani, Ashish A
Patel, Aditya S
Palabindala, Venkataraman
Goti, Ashish M
Desai, Jagdish
author_sort Sonani, Hardik
collection PubMed
description Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) has significant health implications. Anemia is usually an unseen comorbidity, which could significantly affect outcomes in AECOPD patients, and there is limited data to support this. We conducted this study to assess the effect of anemia on this patient population. Methods: We performed a retrospective cohort study using the National (Nationwide) Inpatient Sample (NIS) data from 2008 to 2014. Patients with AECOPD and anemia with age >40 years were identified using appropriate International Classification of Diseases, Ninth Revision (ICD-9) codes, excluding transfer out to other hospitals. We calculated the Charlson Comorbidity Index as a measure of associated comorbidities. We analyzed bivariate group comparisons in patients with and without anemia. Odds ratios were calculated using multivariate logistic and linear regression analysis using SAS version 9.4 (2013; SAS Institute Inc. Cary, North Carolina, United States). Results: Among 3,331,305 patients hospitalized with AECOPD, 567,982 (17.0%) had anemia as a comorbidity. The majority of patients were elderly, women, and white. After adjusting for potential confounders in regression, mortality (adjusted OR (aOR) 1.25, 95%CI: 1.18-1.32), length of hospital stay (β 0.79, 95%Cl 0.76-0.82), and hospitalization cost (β 6873, 95%Cl 6437-7308) were significantly higher in patients with anemia. In addition, patients with anemia required significantly higher blood transfusion (aOR 16.9, 95%CI 16.1-17.8), invasive ventilator support (aOR 1.72, 95%CI 1.64-1.79), and non-invasive ventilator support (aOR 1.21, 95%CI 1.17-1.26). Conclusion: In this first retrospective largest cohort study on this topic, we find anemia is a significant comorbidity associated with adverse outcomes and healthcare burden in hospitalized AECOPD patients. We should focus on close monitoring and management of anemia to improve the outcomes in this population.
format Online
Article
Text
id pubmed-9974142
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-99741422023-03-01 Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database Sonani, Hardik Dhaduk, Kartik Dankhara, Nilesh Viroliya, Krina Desai, Chintan H Sonani, Ashish A Patel, Aditya S Palabindala, Venkataraman Goti, Ashish M Desai, Jagdish Cureus Pulmonology Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) has significant health implications. Anemia is usually an unseen comorbidity, which could significantly affect outcomes in AECOPD patients, and there is limited data to support this. We conducted this study to assess the effect of anemia on this patient population. Methods: We performed a retrospective cohort study using the National (Nationwide) Inpatient Sample (NIS) data from 2008 to 2014. Patients with AECOPD and anemia with age >40 years were identified using appropriate International Classification of Diseases, Ninth Revision (ICD-9) codes, excluding transfer out to other hospitals. We calculated the Charlson Comorbidity Index as a measure of associated comorbidities. We analyzed bivariate group comparisons in patients with and without anemia. Odds ratios were calculated using multivariate logistic and linear regression analysis using SAS version 9.4 (2013; SAS Institute Inc. Cary, North Carolina, United States). Results: Among 3,331,305 patients hospitalized with AECOPD, 567,982 (17.0%) had anemia as a comorbidity. The majority of patients were elderly, women, and white. After adjusting for potential confounders in regression, mortality (adjusted OR (aOR) 1.25, 95%CI: 1.18-1.32), length of hospital stay (β 0.79, 95%Cl 0.76-0.82), and hospitalization cost (β 6873, 95%Cl 6437-7308) were significantly higher in patients with anemia. In addition, patients with anemia required significantly higher blood transfusion (aOR 16.9, 95%CI 16.1-17.8), invasive ventilator support (aOR 1.72, 95%CI 1.64-1.79), and non-invasive ventilator support (aOR 1.21, 95%CI 1.17-1.26). Conclusion: In this first retrospective largest cohort study on this topic, we find anemia is a significant comorbidity associated with adverse outcomes and healthcare burden in hospitalized AECOPD patients. We should focus on close monitoring and management of anemia to improve the outcomes in this population. Cureus 2023-01-29 /pmc/articles/PMC9974142/ /pubmed/36865975 http://dx.doi.org/10.7759/cureus.34343 Text en Copyright © 2023, Sonani et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Pulmonology
Sonani, Hardik
Dhaduk, Kartik
Dankhara, Nilesh
Viroliya, Krina
Desai, Chintan H
Sonani, Ashish A
Patel, Aditya S
Palabindala, Venkataraman
Goti, Ashish M
Desai, Jagdish
Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title_full Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title_fullStr Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title_full_unstemmed Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title_short Anemia as a Significant Predictor of Adverse Outcomes in Hospitalized Patients With Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Analysis of National (Nationwide) Inpatient Sample Database
title_sort anemia as a significant predictor of adverse outcomes in hospitalized patients with acute exacerbations of chronic obstructive pulmonary disease: analysis of national (nationwide) inpatient sample database
topic Pulmonology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974142/
https://www.ncbi.nlm.nih.gov/pubmed/36865975
http://dx.doi.org/10.7759/cureus.34343
work_keys_str_mv AT sonanihardik anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT dhadukkartik anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT dankharanilesh anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT viroliyakrina anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT desaichintanh anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT sonaniashisha anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT pateladityas anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT palabindalavenkataraman anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT gotiashishm anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase
AT desaijagdish anemiaasasignificantpredictorofadverseoutcomesinhospitalizedpatientswithacuteexacerbationsofchronicobstructivepulmonarydiseaseanalysisofnationalnationwideinpatientsampledatabase