Patient Outcome After COPD Exacerbations Requiring Non-invasive Ventilation During Hospitalization

Akyıl, Fatma Tokgöz; Günen, Hakan; Ağca, Meltem; Güngör, Sinem; Yalçınsoy, Murat; Sucu, Pakize; Akyıl, Mustafa; Sevim, Tülin

doi:10.1016/j.arbr.2016.03.012

Cited by 12 publications

(18 citation statements)

References 31 publications

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“…Factors such as old age and underlying diseases may influence the decision to intubate or not to intubate some patients, thus assuming a worse prognosis in these cases (32). Besides, patients requiring NIV are known to have poor prognosis (33)(34)(35).…”

Section: Discussionmentioning

confidence: 99%

One-year and long-term mortality in patients hospitalized for chronic obstructive pulmonary disease

García-Sanz¹,

Cánive-Gómez²,

Senín-Rial³

et al. 2017

J. Thorac. Dis.

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Section: Discussionmentioning

confidence: 99%

One-year and long-term mortality in patients hospitalized for chronic obstructive pulmonary disease

García-Sanz¹,

Cánive-Gómez²,

Senín-Rial³

et al. 2017

J. Thorac. Dis.

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“…[11][12][13][14][15] Few studies investigated predictors of mortality in patients receiving NIV. 12,[16][17][18] Older age and low albumin, 16 and prior domiciliary oxygen use 17 were identified as the strongest predictors for poor outcome in this population. 16 However, only a limited number of both patient and exacerbation characteristics as well as details of the NIV intervention were investigated in these studies.…”

Section: Introductionmentioning

confidence: 88%

“…12,[16][17][18] Older age and low albumin, 16 and prior domiciliary oxygen use 17 were identified as the strongest predictors for poor outcome in this population. 16 However, only a limited number of both patient and exacerbation characteristics as well as details of the NIV intervention were investigated in these studies. Identification of predictors for poor outcome, will aid clinicians and their patients in (shared) decision making regarding the application and duration of continuation of NIV in severe exacerbations with acute or acute-on-chronic respiratory failure.…”

Section: Introductionmentioning

confidence: 88%

Predictors for long‐term mortality in COPD patients requiring non‐invasive positive pressure ventilation for the treatment of acute respiratory failure

Sprooten

Rohde

Janssen

et al. 2020

Clinical Respiratory J

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Introduction The effectiveness of non‐invasive mechanical ventilation (NIV) in the management of COPD patients suffering from acute respiratory failure (ARF) as a consequence of exacerbation of the disease, is well established. However, data on long‐term outcomes and their predictors, including the individual response to NIV, are scarce. Objectives To investigate predictors for short‐ and long‐term mortality in this study population. Methods A retrospective cohort study was performed including all patients admitted to the Medium Respiratory Care Unit of Maastricht University Medical Center in Maastricht, the Netherlands, with hospitalized exacerbation of COPD (H‐ECOPD) with ARF requiring NIV for the first time between January 2009 and December 2011. An extensive number of potential predictors of outcomes, including the response to NIV, were determined on admission and during hospitalization. Univariate and multivariate logistic regression was used for statistical analysis. Results Seventy‐eight consecutive patients with moderate to severe COPD (mean age 71.0 ± 10.7 years; 48.7% males) were included; In‐hospital, 1‐year and 2‐year mortality rates were 14.1%, 43.6% and 56.4%, respectively. Independent risk factors for 2‐year mortality were: advanced age (odds ratio(OR) 1.025; confidence interval (CI) 1.002‐1.049; P = 0.037), prolonged NIV use more than 8 days (OR:1.054;CI:1.006‐1.104; P = 0.027) and no successful response to NIV (OR:2.392;CI:1.297‐4.413; P = 0.005). Conclusion Patients with an H‐ECOPD requiring NIV for the first time, constitute a severely ill patient group with high in‐hospital and 2‐year mortality. This study identified advanced age, NIV use more than 8 days and unsuccessful response to NIV as clinical important independent predictors for long‐term mortality.

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“…Acute hypercapnic respiratory failure increases the in-hospital mortality to 41%, and to a further 43% and 49% after 1 and 2 years in survivors (44). In another cohort, the 1-year mortality in patients who needed non-invasive ventilation during an acute COPD exacerbation was 30% (45). Specific referral and transplantation guidelines for patients with COPD are summarized in Table 2.…”

Section: Chronic Obstructive Pulmonary Disease and Alpha1antitrypsin mentioning

confidence: 99%

Recipient selection process and listing for lung transplantation

Verleden¹,

Dupont²,

Yserbyt³

et al. 2017

J. Thorac. Dis.

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Lung transplantation remains the ultimate treatment option for selected patients with end-stage (cardio) pulmonary disease. Given the current organ shortage, it is without any doubt that careful selection of potential transplant candidates is essential as this may greatly influence survival after the procedure. In this paper, we will review the current guidelines for referral and listing of lung transplant candidates in general, and in more depth for the specific underlying diseases. Needless to state that these are not absolute guidelines, and that decisions depend upon center's activity, waiting list, etc. Therefore, every patient should be discussed with the transplant center before any definite decision is made to accept or decline a patient for lung transplantation.

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Patient Outcome After COPD Exacerbations Requiring Non-invasive Ventilation During Hospitalization

Cited by 12 publications

References 31 publications

One-year and long-term mortality in patients hospitalized for chronic obstructive pulmonary disease

One-year and long-term mortality in patients hospitalized for chronic obstructive pulmonary disease

Predictors for long‐term mortality in COPD patients requiring non‐invasive positive pressure ventilation for the treatment of acute respiratory failure

Recipient selection process and listing for lung transplantation

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