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Hypercapnia at Hospital Admission as a Predictor of Mortality

INTRODUCTION: Hypercapnia is an indicator of ventilatory exhaustion. There is some disagreement regarding whether hypercapnia is also a predictor of mortality. In this prospective study, we aimed to investigate whether hypercapnia can predict in-hospital and 1-year mortality rates in patients with d...

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Autores principales: Vonderbank, Sandy, Gibis, Natalie, Schulz, Alina, Boyko, Mariya, Erbuth, Annika, Gürleyen, Hakan, Bastian, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326210/
https://www.ncbi.nlm.nih.gov/pubmed/32617025
http://dx.doi.org/10.2147/OAEM.S242075
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author Vonderbank, Sandy
Gibis, Natalie
Schulz, Alina
Boyko, Mariya
Erbuth, Annika
Gürleyen, Hakan
Bastian, Andreas
author_facet Vonderbank, Sandy
Gibis, Natalie
Schulz, Alina
Boyko, Mariya
Erbuth, Annika
Gürleyen, Hakan
Bastian, Andreas
author_sort Vonderbank, Sandy
collection PubMed
description INTRODUCTION: Hypercapnia is an indicator of ventilatory exhaustion. There is some disagreement regarding whether hypercapnia is also a predictor of mortality. In this prospective study, we aimed to investigate whether hypercapnia can predict in-hospital and 1-year mortality rates in patients with dyspnea or pulmonary diseases. PATIENTS AND METHODS: All patients with dyspnea or pulmonary diseases underwent routine blood gas analysis at hospital admission. During the 12-month enrollment period, 2710 patients were enrolled, and 588 patients with hypercapnia at admission were identified. Of the 1626 normocapnic patients, 62 were randomly selected as controls. In-hospital and 1-year mortality rates were determined. RESULTS: There were significant increases in mortality rate between acute hypercapnic patients and both chronic hypercapnic patients and normocapnic controls. Their in-hospital mortality rates were 17%, 6.7% and 3.2%, respectively. Their 1-year mortality rates were 32%, 20.2% and 14.5%, respectively. The 1-year mortality rates of hypercapnic patients with different underlying diseases were 24.6% (chronic obstructive pulmonary disease), 28.4% (congestive heart disease), 1.6% (obstructive sleep apnea syndrome/obesity hypoventilation syndrome), 50.9% (pneumonia), 0% (suppressed central respiratory drive, primarily due to opiate abuse) and 22.8% (other conditions). DISCUSSION: The 1-year mortality rate of patients with acute hypercapnia at hospital admission was 32%, with significant differences compared to chronic hypercapnic patients (20.2%) and normocapnic patients (14.5%). There was a wide range of 1-year mortality rates between the hypercapnic patients with different underlying diseases.
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spelling pubmed-73262102020-07-01 Hypercapnia at Hospital Admission as a Predictor of Mortality Vonderbank, Sandy Gibis, Natalie Schulz, Alina Boyko, Mariya Erbuth, Annika Gürleyen, Hakan Bastian, Andreas Open Access Emerg Med Original Research INTRODUCTION: Hypercapnia is an indicator of ventilatory exhaustion. There is some disagreement regarding whether hypercapnia is also a predictor of mortality. In this prospective study, we aimed to investigate whether hypercapnia can predict in-hospital and 1-year mortality rates in patients with dyspnea or pulmonary diseases. PATIENTS AND METHODS: All patients with dyspnea or pulmonary diseases underwent routine blood gas analysis at hospital admission. During the 12-month enrollment period, 2710 patients were enrolled, and 588 patients with hypercapnia at admission were identified. Of the 1626 normocapnic patients, 62 were randomly selected as controls. In-hospital and 1-year mortality rates were determined. RESULTS: There were significant increases in mortality rate between acute hypercapnic patients and both chronic hypercapnic patients and normocapnic controls. Their in-hospital mortality rates were 17%, 6.7% and 3.2%, respectively. Their 1-year mortality rates were 32%, 20.2% and 14.5%, respectively. The 1-year mortality rates of hypercapnic patients with different underlying diseases were 24.6% (chronic obstructive pulmonary disease), 28.4% (congestive heart disease), 1.6% (obstructive sleep apnea syndrome/obesity hypoventilation syndrome), 50.9% (pneumonia), 0% (suppressed central respiratory drive, primarily due to opiate abuse) and 22.8% (other conditions). DISCUSSION: The 1-year mortality rate of patients with acute hypercapnia at hospital admission was 32%, with significant differences compared to chronic hypercapnic patients (20.2%) and normocapnic patients (14.5%). There was a wide range of 1-year mortality rates between the hypercapnic patients with different underlying diseases. Dove 2020-06-26 /pmc/articles/PMC7326210/ /pubmed/32617025 http://dx.doi.org/10.2147/OAEM.S242075 Text en © 2020 Vonderbank et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Vonderbank, Sandy
Gibis, Natalie
Schulz, Alina
Boyko, Mariya
Erbuth, Annika
Gürleyen, Hakan
Bastian, Andreas
Hypercapnia at Hospital Admission as a Predictor of Mortality
title Hypercapnia at Hospital Admission as a Predictor of Mortality
title_full Hypercapnia at Hospital Admission as a Predictor of Mortality
title_fullStr Hypercapnia at Hospital Admission as a Predictor of Mortality
title_full_unstemmed Hypercapnia at Hospital Admission as a Predictor of Mortality
title_short Hypercapnia at Hospital Admission as a Predictor of Mortality
title_sort hypercapnia at hospital admission as a predictor of mortality
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326210/
https://www.ncbi.nlm.nih.gov/pubmed/32617025
http://dx.doi.org/10.2147/OAEM.S242075
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