Postextubation laryngeal edema and stridor resulting in respiratory failure in critically ill adult patients: updated review.

Endotracheal intubation is frequently complicated by laryngeal edema, which may present as postextubation stridor or respiratory difficulty or both. Ultimately, postextubation laryngeal edema may result in respiratory failure with subsequent reintubation. Risk factors for postextubation laryngeal edema include female gender, large tube size, and prolonged intubation. Although patients at low risk for postextubation respiratory insufficiency due to laryngeal edema can be identified by the cuff leak test or laryngeal ultrasound, no reliable test for the identification of high-risk patients is currently available. If applied in a timely manner, intravenous or nebulized corticosteroids can prevent postextubation laryngeal edema; however, the inability to identify high-risk patients prevents the targeted pretreatment of these patients. Therefore, the decision to start corticosteroids should be made on an individual basis and on the basis of the outcome of the cuff leak test and additional risk factors. The preferential treatment of postextubation laryngeal edema consists of intravenous or nebulized corticosteroids combined with nebulized epinephrine, although no data on the optimal treatment algorithm are available. In the presence of respiratory failure, reintubation should be performed without delay. Application of noninvasive ventilation or inhalation of a helium/oxygen mixture is not indicated since it does not improve outcome and increases the delay to intubation.

New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic cohort study of development and external validation.

BACKGROUND: Recognising patients who need immediate hospital treatment for sepsis while simultaneously limiting unnecessary referrals is challenging for GPs. AIM: To develop and validate a sepsis prediction model for adult patients in primary care. DESIGN AND SETTING: This was a prospective cohort study in four out-of-hours primary care services in the Netherlands, conducted between June 2018 and March 2020. METHOD: Adult patients who were acutely ill and received home visits were included. A total of nine clinical variables were selected as candidate predictors, next to the biomarkers C-reactive protein, procalcitonin, and lactate. The primary endpoint was sepsis within 72 hours of inclusion, as established by an expert panel. Multivariable logistic regression with backwards selection was used to design an optimal model with continuous clinical variables. The added value of the biomarkers was evaluated. Subsequently, a simple model using single cut-off points of continuous variables was developed and externally validated in two emergency department populations. RESULTS: A total of 357 patients were included with a median age of 80 years (interquartile range 71-86), of which 151 (42%) were diagnosed with sepsis. A model based on a simple count of one point for each of six variables (aged >65 years; temperature >38°C; systolic blood pressure ≤110 mmHg; heart rate >110/min; saturation ≤95%; and altered mental status) had good discrimination and calibration (C-statistic of 0.80 [95% confidence interval = 0.75 to 0.84]; Brier score 0.175). Biomarkers did not improve the performance of the model and were therefore not included. The model was robust during external validation. CONCLUSION: Based on this study's GP out-of-hours population, a simple model can accurately predict sepsis in acutely ill adult patients using readily available clinical parameters.