Survival of Patients With Bronchiectasis After the First ICU Stay for Respiratory Failure

Dupont, Mathieu; Gacouin, Arnaud; Léna, H.; Lavoué, Sylvain; Brinchault, Graziella; Delaval, P.; Thomas, R.

doi:10.1378/chest.125.5.1815

Cited by 58 publications

(50 citation statements)

References 23 publications

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“…Onen et al found that hypoxemia was more closely correlated with mortality in patients with bronchiectasis (14). Dupont et al reported that long-term oxygen therapy was an independent factor for survival of patients with bronchiectasis after the first admission to an intensive care unit (23). The results of the present study showed higher resting oxygen saturation under room air conditions among the survivors, although this difference did not reach statistical significance.…”

Section: Correlations Between 6mwt-derived Variables and 6-year Survivalcontrasting

confidence: 69%

Distance-saturation product of the 6-minute walk test predicts mortality of patients with non-cystic fibrosis bronchiectasis

et al. 2017

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Background: Previous surveillance methods to monitor the prognoses of patients with bronchiectasis are too complex for use in daily practice. The 6-minute walk test (6MWT) is a simple exercise test to predict the prognosis of chronic obstructive airway disease and numerous chronic lung diseases, including idiopathic pulmonary fibrosis. No studies have investigated exercise-induced oxygen desaturation (EID) and distancesaturation product (DSP) of 6MWT to predict the prognoses of patients with bronchiectasis. Methods: This was a prospective study to identify correlations between variables of 6MWT and mortality in patients with bronchiectasis over a 6-year period. The study cohort included 69 patients with stable noncystic fibrosis (non-CF) bronchiectasis who were regularly evaluated for functional status via 6-minute walk distance (6MWD), spirometry, BODE index, EID, and DSP.Results: Of the 69 patients, 9 (13%) died and 60 (87%) survived during the 6-year follow-up period. Multivariate analysis showed that DSP (OR =0.983; P=0.001) was the best parameter of 6MWT to predict mortality. Patients with a lower DSP of <280 m% were at a 66.5-fold greater risk (OR =66.5; 95% CI: 9.4-469.2) of 6-year mortality compared with those with DSP >280 m% (P<0.001).Conclusions: DSP is a simple parameter to predict 6-year mortality in patients with non-CF bronchiectasis.

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Section: Correlations Between 6mwt-derived Variables and 6-year Survivalcontrasting

confidence: 69%

Distance-saturation product of the 6-minute walk test predicts mortality of patients with non-cystic fibrosis bronchiectasis

et al. 2017

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“…The use of NIV to treat exacerbation of COPD is supported by results of randomized studies and therefore recommended. [1][2][3][4] However, in clinical practice, NIV is used beyond guideline recommendations, 5 and despite concerns about the effi- cacy of NIV as supportive therapy in ARF in patients with preexisting conditions other than COPD, NIV is broadly considered as the first line of respiratory support in patients with bronchiectasis, 6,7 rib cage or parenchymal restrictive diseases, [8][9][10] obesity, 11 or asthma. 12,13 Studies showed that, over the period 1998 -2008, NIV was increasingly used in patients suffering from COPD.…”

Section: Introductionmentioning

confidence: 99%

Trends in Prevalence and Prognosis in Subjects With Acute Chronic Respiratory Failure Treated With Noninvasive and/or Invasive Ventilation

et al. 2014

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BACKGROUND:The pattern and outcome of noninvasive ventilation (NIV) use in patients with acute or chronic respiratory disease other than COPD is not well known. The aims of this study were to investigate trends over time in underlying respiratory diseases, use of NIV, and outcomes in COPD and non-COPD patients with acute respiratory failure. METHODS: We made a retrospective analysis of data recorded prospectively from 1,113 subjects admitted between 1998 and 2012. RESULTS: Subject diagnoses were distributed as follows: COPD, n ‫؍‬ 568 (51%); bilateral bronchiectasis, n ‫؍‬ 113 (10%); obesity, n ‫؍‬ 166 (15%); chronic diffuse interstitial lung disease, n ‫؍‬ 131 (12%); restrictive pulmonary disease, n ‫؍‬ 113 (10%); and asthma, n ‫؍‬ 22 (2%). The proportion of subjects with bilateral bronchiectasis significantly decreased (OR 0.91, 95% CI 0.865-0.951, P < .001), whereas the proportion of subjects with obesity increased (OR 1.03, 95% CI 1.001-1.063, P ‫؍‬ .049) over time. The use of NIV (OR 1.05, 95% CI 1.010 -1.090, P ‫؍‬ .01) and the proportion of subjects initially treated with NIV (OR 1.05, 95% CI 1.013-1.094, P ‫؍‬ .009) increased significantly in COPD subjects only. Time trend of mortality was not significant (OR 0.98, 95% CI 0.95-1.01, P ‫؍‬ .23), whereas the severity of illness in subjects significantly increased. Transition from NIV to invasive mechanical ventilation (IMV) (OR 2.05, 95% CI 1.36 -3.11, P ‫؍‬ < .001), IMV (OR 10.49, 95% CI 4.88 -10.56, P < .001) and diffuse interstitial lung disease (OR 10.63, 95% CI 5.43-20.83, P < .001) were independently associated with death in the ICU. CONCLUSIONS: Over time, respiratory diseases have changed in non-COPD subjects and trends in the use and efficacy of NIV differ between COPD and non-COPD subjects. Mortality remained stable while the severity of illness in subjects increased. In COPD and non-COPD subjects, transition from NIV to IMV was associated with a poorer prognosis.

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“…The Kaplan-Meier method is often used to analyze the survival time of patients on different treatments and to compare their risks of death [14,19,23]. Based on the Kaplan-Meier estimate, survival time of two groups of patients can be visualized and compared with survival curves, which plot the cumulative proportion surviving against the survival times [7].…”

Section: Statistics For Comparing Cohortsmentioning

confidence: 99%

Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics

Malik

Monroe

et al. 2015

Proceedings of the 20th International Conference on Intelligent User Interfaces

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Finding the differences and similarities between two datasets is a common analytics task. With temporal event sequence data, this task is complex because of the many ways single events and event sequences can differ between the two datasets (or cohorts) of records: the structure of the event sequences (e.g., event order, co-occurring events, or event frequencies), the attributes of events and records (e.g., patient gender), or metrics about the timestamps themselves (e.g., event duration). In exploratory analyses, running statistical tests to cover all cases is time-consuming and determining which results are significant becomes cumbersome. Current analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. This paper presents a taxonomy of metrics for comparing cohorts of temporal event sequences, showing that the problem-space is bounded. We also present a visual analytics tool, CoCo (for "Cohort Comparison"), which implements balanced integration of automated statistics with an intelligent user interface to guide users to significant, distinguishing features between the cohorts. Lastly, we describe two early case studies: the first with a research team studying medical team performance in the emergency department and the second with pharmacy researchers.

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Survival of Patients With Bronchiectasis After the First ICU Stay for Respiratory Failure

Cited by 58 publications

References 23 publications

Distance-saturation product of the 6-minute walk test predicts mortality of patients with non-cystic fibrosis bronchiectasis

Distance-saturation product of the 6-minute walk test predicts mortality of patients with non-cystic fibrosis bronchiectasis

Trends in Prevalence and Prognosis in Subjects With Acute Chronic Respiratory Failure Treated With Noninvasive and/or Invasive Ventilation

Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics

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