Effect of Reintubation Within 48 Hours on Mortality in Critically Ill Patients After Planned Extubation.

BACKGROUND: Re-intubation is necessary in 2% to 30% of cases of patients receiving a planned extubation. This procedure is associated with prolonged mechanical ventilation, a greater need for tracheostomy, a higher incidence of ventilator-associated pneumonia, and higher mortality. The aim of this study was to evaluate the effect of re-intubation within 48 h on mortality after planned extubation by using a randomized controlled trial database. METHODS: Secondary analysis of a multi-center randomized trial, which evaluated the effect of reconnection to mechanical ventilation for 1 h after a successful spontaneous breathing trial, followed by extubation. The study included adult subjects who received invasive mechanical ventilation for > 12 h. The subjects were divided into an extubation failure group and an extubation success group. The outcome was in-hospital mortality. Two multivariate logistic regression models were constructed to identify independent factors associated with mortality. RESULTS: Among the 336 subjects studied, extubation failed in 52 (15.4%) and they were re-intubated within 48 h. Most re-intubations occurred between 12 and 24 h after planned extubation (median [interquartile range] 16 [6-36] h). Mortality of the extubation failure group was higher both in the ICU (32.6% vs 6.6%; odds ratio [OR] 6.77, 95% CI 3.22-14.24; P < .001) and in-hospital (42.3% vs 14.0%; OR 4.47, 95% CI 2.34-8.51; P < .001) versus the extubation success group. Multivariate logistic regression analyses showed that re-intubation within 48 h was independently associated with both ICU mortality (OR 6.10, 95% CI 2.84-13.07; P < .001) and in-hospital mortality (OR 3.36, 95% CI 1.67-6.73; P = .001). In-hospital mortality was also associated with rescue noninvasive ventilation after extubation (OR 2.44, 95% CI 1.25-4.75; P = .009). CONCLUSIONS: Re-intubation within 48 h after planned extubation was associated with mortality in subjects who were critically ill.

The respiratory oxygenation index for identifying the risk of orotracheal intubation in COVID-19 patients receiving high-flow nasal cannula oxygen.

OBJECTIVE: To assess whether the respiratory oxygenation index (ROX index) measured after the start of high-flow nasal cannula oxygen therapy can help identify the need for intubation in patients with acute respiratory failure due to coronavirus disease 2019. METHODS: This retrospective, observational, multicenter study was conducted at the intensive care units of six Brazilian hospitals from March to December 2020. The primary outcome was the need for intubation up to 7 days after starting the high-flow nasal cannula. RESULTS: A total of 444 patients were included in the study, and 261 (58.7%) were subjected to intubation. An analysis of the area under the receiver operating characteristic curve (AUROC) showed that the ability to discriminate between successful and failed high-flow nasal cannula oxygen therapy within 7 days was greater for the ROX index measured at 24 hours (AUROC 0.80; 95%CI 0.76 - 0.84). The median interval between high-flow nasal cannula initiation and intubation was 24 hours (24 - 72), and the most accurate predictor of intubation obtained before 24 hours was the ROX index measured at 12 hours (AUROC 0.75; 95%CI 0.70 - 0.79). Kaplan-Meier curves revealed a greater probability of intubation within 7 days in patients with a ROX index ≤ 5.54 at 12 hours (hazard ratio 3.07; 95%CI 2.24 - 4.20) and ≤ 5.96 at 24 hours (hazard ratio 5.15; 95%CI 3.65 - 7.27). CONCLUSION: The ROX index can aid in the early identification of patients with acute respiratory failure due to COVID-19 who will progress to the failure of high-flow nasal cannula supportive therapy and the need for intubation.

Characteristics and predictors of chronic critical illness in the intensive care unit. / Características e preditores de doença crítica crônica na unidade de terapia intensiva.

OBJECTIVE: To characterize patients with chronic critical illness and identify predictors of development of chronic critical illness. METHODS: Prospective data was collected for 1 year in the intensive care unit of a general hospital in Southern Brazil. Three logistic regression models were constructed to identify factors associated with chronic critical illness. RESULTS: Among the 574 subjects admitted to the intensive care unit, 200 were submitted to mechanical ventilation. Of these patients, 85 (43.5%) developed chronic critical illness, composing 14.8% of all the patients admitted to the intensive care unit. The regression model that evaluated the association of chronic critical illness with conditions present prior to intensive care unit admission identified chronic renal failure in patients undergoing hemodialysis (OR 3.57; p = 0.04) and a neurological diagnosis at hospital admission (OR 2.25; p = 0.008) as independent factors. In the model that evaluated the association of chronic critical illness with situations that occurred during intensive care unit stay, muscle weakness (OR 2.86; p = 0.01) and pressure ulcers (OR 9.54; p < 0.001) had the strongest associations. In the global multivariate analysis (that assessed previous factors and situations that occurred in the intensive care unit), hospital admission due to neurological diseases (OR 2.61; p = 0.03) and the development of pressure ulcers (OR 9.08; p < 0.001) had the strongest associations. CONCLUSION: The incidence of chronic critical illness in this study was similar to that observed in other studies and had a strong association with the diagnosis of neurological diseases at hospital admission and chronic renal failure in patients undergoing hemodialysis, as well as complications developed during hospitalization, such as pressure ulcers and muscle weakness.

OBJETIVO: Caracterizar os pacientes com doença crítica crônica e identificar os preditores relacionados à evolução para doença crítica crônica. MÉTODOS: Coleta prospectiva de dados por 1 ano realizada na unidade de terapia intensiva de um hospital geral localizado na Região Sul do país. Construíram-se três modelos de regressão logística para identificar os fatores associados com doença crítica crônica. RESULTADOS: Dentre os 574 pacientes admitidos à unidade de terapia intensiva durante o período do estudo, 200 foram submetidos à ventilação mecânica. Destes, 85 (43,5%) pacientes desenvolveram doença crítica crônica, totalizando 14,8% de todos os pacientes admitidos à unidade de terapia intensiva. O modelo de regressão que avaliou os fatores prévios à admissão à unidade de terapia intensiva associados com doença crítica crônica identificou insuficiência renal crônica submetida à diálise (OR 3,57; p = 0,04) e diagnóstico neurológico quando da admissão ao hospital (OR 2,25; p = 0,008) como fatores independentes. No modelo que avaliou a associação de doença crítica crônica com situações ocorridas durante a permanência na unidade de terapia intensiva, destacaram-se fraqueza muscular (OR 2,86; p = 0,01) e úlceras por pressão (OR 9,54; p < 0,001). Na análise multivariada global (fatores prévios e situações ocorridas durante a permanência na unidade de terapia intensiva), destacaram-se admissão ao hospital por doenças neurológicas (OR 2,61; p = 0,03) e desenvolvimento de úlceras por pressão (OR 9,08; p < 0,001). CONCLUSÃO: A incidência de doença crítica crônica foi similar à observada em outros estudos e teve associação mais forte com o diagnóstico de doenças neurológicas quando da admissão ao hospital e insuficiência renal crônica submetida à hemodiálise, assim como com complicações desenvolvidas durante a hospitalização, como úlceras por pressão e fraqueza muscular.

Características e preditores de doença crítica crônica na unidade de terapia intensiva / Characteristics and predictors of chronic critical illness in the intensive care unit

RESUMO Objetivo: Caracterizar os pacientes com doença crítica crônica e identificar os preditores relacionados à evolução para doença crítica crônica. Métodos: Coleta prospectiva de dados por 1 ano realizada na unidade de terapia intensiva de um hospital geral localizado na Região Sul do país. Construíram-se três modelos de regressão logística para identificar os fatores associados com doença crítica crônica. Resultados: Dentre os 574 pacientes admitidos à unidade de terapia intensiva durante o período do estudo, 200 foram submetidos à ventilação mecânica. Destes, 85 (43,5%) pacientes desenvolveram doença crítica crônica, totalizando 14,8% de todos os pacientes admitidos à unidade de terapia intensiva. O modelo de regressão que avaliou os fatores prévios à admissão à unidade de terapia intensiva associados com doença crítica crônica identificou insuficiência renal crônica submetida à diálise (OR 3,57; p = 0,04) e diagnóstico neurológico quando da admissão ao hospital (OR 2,25; p = 0,008) como fatores independentes. No modelo que avaliou a associação de doença crítica crônica com situações ocorridas durante a permanência na unidade de terapia intensiva, destacaram-se fraqueza muscular (OR 2,86; p = 0,01) e úlceras por pressão (OR 9,54; p < 0,001). Na análise multivariada global (fatores prévios e situações ocorridas durante a permanência na unidade de terapia intensiva), destacaram-se admissão ao hospital por doenças neurológicas (OR 2,61; p = 0,03) e desenvolvimento de úlceras por pressão (OR 9,08; p < 0,001). Conclusão: A incidência de doença crítica crônica foi similar à observada em outros estudos e teve associação mais forte com o diagnóstico de doenças neurológicas quando da admissão ao hospital e insuficiência renal crônica submetida à hemodiálise, assim como com complicações desenvolvidas durante a hospitalização, como úlceras por pressão e fraqueza muscular.

ABSTRACT Objective: To characterize patients with chronic critical illness and identify predictors of development of chronic critical illness. Methods: Prospective data was collected for 1 year in the intensive care unit of a general hospital in Southern Brazil. Three logistic regression models were constructed to identify factors associated with chronic critical illness. Results: Among the 574 subjects admitted to the intensive care unit, 200 were submitted to mechanical ventilation. Of these patients, 85 (43.5%) developed chronic critical illness, composing 14.8% of all the patients admitted to the intensive care unit. The regression model that evaluated the association of chronic critical illness with conditions present prior to intensive care unit admission identified chronic renal failure in patients undergoing hemodialysis (OR 3.57; p = 0.04) and a neurological diagnosis at hospital admission (OR 2.25; p = 0.008) as independent factors. In the model that evaluated the association of chronic critical illness with situations that occurred during intensive care unit stay, muscle weakness (OR 2.86; p = 0.01) and pressure ulcers (OR 9.54; p < 0.001) had the strongest associations. In the global multivariate analysis (that assessed previous factors and situations that occurred in the intensive care unit), hospital admission due to neurological diseases (OR 2.61; p = 0.03) and the development of pressure ulcers (OR 9.08; p < 0.001) had the strongest associations. Conclusion: The incidence of chronic critical illness in this study was similar to that observed in other studies and had a strong association with the diagnosis of neurological diseases at hospital admission and chronic renal failure in patients undergoing hemodialysis, as well as complications developed during hospitalization, such as pressure ulcers and muscle weakness.