The timing of tracheostomy for intensive care unit patients is controversial, with conflicting findings on early versus late tracheostomy.

Patients undergoing tracheostomy from 2001through 2012 were identified from the Medical Information Mart for Intensive Care-III database. Early tracheostomy was defined as less than the 25th percentile of time from intensive care unit admission to tracheostomy (time to tracheostomy). Statistical analysis for tracheostomy timing on intensive care unit length of stay and mortality were conducted.

Of the 1,566 patients that were included, patients with early tracheostomy had shorter intensive care unit length of stay (27.32 vs 12.55 days, p < 0.001) and lower mortality (12.9 per cent vs 9.0 per cent, p = 0.039). Multivariate logistic regression analysis found an association between increasing time to tracheostomy and mortality (odds ratio: 1.029, 95 per cent confidence interval 1.007–1.051, p = 0.009).

Our analysis revealed that patients with early tracheostomy were more likely to have shorter intensive care unit lengths of stay and lower mortality. Our data suggest that early tracheostomy should be given strong consideration in appropriately selected patients.

Evacuations of neonatal intensive care units (NICUs) in emergency situations pose specialized challenges given their population of critically-ill neonates. Most of the literature on this topic describes planned evacuations and simulations due to natural disasters, usually involving only NICU staff. This study examines a unique emergent NICU evacuation simulation involving multiple responders occurring on a citywide scale.

A simulated evacuation in response to a fire was conducted in 6 different NICUs in El Paso, Texas. The exercise utilized response from NICU staff and first responders. A standardized tool, by independent evaluators, was used to evaluate staff competencies while reactions were assessed using post-exercise surveys.

This city-wide multidisciplinary simulation improved NICU personnel skills in evacuation and also introduced first responders to this specialized patient population. Areas of strength across all NICUs included teamwork, knowledge of evacuation equipment, and patient tracking. Areas for improvement included lack of adequate equipment for post-evacuation care, understanding implications of smoke exposure, alternative evacuation routes, incident command structure, and unified communication.

This successful, citywide NICU evacuation simulation improved knowledge among participants, introduced first responders to a specialized patient population, and provided valuable lessons on neonate-specific themes that can be incorporated to improve citywide emergency preparedness.

The main objective was to assess the prevalence of dysphagia in the intensive care unit in patients with coronavirus disease 2019.

Methods. A cohort, observational, retrospective study was conducted of patients admitted to the intensive care unit for severe acute respiratory syndrome coronavirus 2 pneumonia at the University Hospital of Rouen in France.

Over 4 months, 58 patients were intubated and ventilated, 43 of whom were evaluated. Screening revealed post-extubation dysphagia in 62.7 per cent of patients. In univariate analysis, a significant association was found between the presence of dysphagia and: the severity of the initial pathology, the duration of intubation, the duration of curare use, the degree of muscle weakness and the severity indicated on the initial scan. At the end of intensive care unit treatment, 22 per cent of the dysphagic patients had a normal diet, 56 per cent had an adapted diet and 22 per cent still received exclusive tube feeding.

Post-extubation dysphagia is frequent and needs to be investigated.

The object of this study was to examine the accuracy in prehospital shock index (SI) for predicting intensive care unit (ICU) requirement and 30-d mortality among from coronavirus disease 2019 (COVID-19) patients transported to the hospital by ambulance.

All consecutive patients who were the age ≥18 y, transported to the emergency department (ED) by ambulance with a suspected or confirmed COVID-19 in the prehospital frame were included in the study. Four different cutoff points were compared (0.7, 0.8, 0.9, and 1.0) to examine the predictive performance of both the mortality and ICU requirement of the SI. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) was used to evaluate each cut-off value discriminatory for predicting 30-d mortality and ICU admission.

The total of 364 patients was included in this study. The median age in the study population was 69 y (range, 55-80 y), of which 196 were men and 168 were women. AUC values for 30-d mortality outcome were calculated as 0.672, 0.674, 0.755, and 0.626, respectively, for threshold values of 0.7, 0.8, 0.9 and 1.0. ICU admission was more likely for the patients with prehospital SI > 0.9. Similarly, the mortality rate was higher in patients with prehospital SI > 0.9.

Early triage of COVID-19 patients will ensure efficient use of health-care resources. The SI could be a helpful, fast, and powerful tool for predicting mortality status and ICU requirements of adult COVID-19 patients. It was concluded that the most useful threshold value for the shock index in predicting the prognosis of COVID-19 patients is 0.9.

The aim of this study was to implement pediatric vertical evacuation disaster training and evaluate its effectiveness by using a full-scale exercise to compare outcomes in trained and untrained participants.

Various clinical and nonclinical staff in a tertiary care university hospital received pediatric vertical evacuation training sessions over a 6-wk period. The training consisted of disaster and evacuation didactics, hands-on training in use of evacuation equipment, and implementation of an evacuation toolkit. An unannounced full-scale simulated vertical evacuation of neonatal intensive care unit (NICU) and pediatric intensive care unit (PICU) patients was used to evaluate the effectiveness of the training. Drill participants completed a validated evaluation tool. Pearson chi-squared testing was used to analyze the data.

Eighty-four evaluations were received from drill participants. Forty-three (51%) of the drill participants received training and 41 (49%) did not. Staff who received pediatric evacuation training were more likely to feel prepared compared with staff who did not (odds ratio, 4.05; confidence interval: 1.05-15.62).

There was a statistically significant increase in perceived preparedness among those who received training. Recently trained pediatric practitioners were able to achieve exercise objectives on par with the regularly trained emergency department staff. Pediatric disaster preparedness training may mitigate the risks associated with caring for children during disasters.

Determining the parameters that can predict the requirement of intensive care unit (ICU) admissions among the coronavirus disease 2019 (COVID-19) patients presented to the emergency departments (EDs).

In adult consecutive patients admitted (March 15 - April 15, 2020) to the ED of a state hospital for COVID-19, we retrospectively analyzed demographic data, symptoms, laboratory tests, and chest computed tomography (CT) on arrival.

We included 458 patients [213 (46.5%) females, median age 48 y]. Body temperature, respiration rate, C-reactive protein (CRP), D-dimer, ferritin values, and the number of comorbidities were significantly higher in patients admitted to the ICU than others. Also, diffuse infiltration in chest CT is more common in patients who need ICU follow-up. As a result of the binary regression analysis, a statistically significant correlation was found between the presence of dyspnea (odds ratio [OR]: 12.55), tachypnea (relative risk [RR] ≥ 18) (OR: 14.54), multiple comorbidities (≥2) (OR: 23.39), diffuse infiltration in CT (OR: 14.52), and CRP (≥45 mg/L) (OR: 4.71); and the need for ICU admission.

It has been concluded that the presence of dyspnea and tachypnea, elevated CRP, presence of multiple comorbidities, and diffuse infiltration in CT may predict the need for ICU admissions of the patients, who presented to the EDs.

To investigate the risk factors associated with prolonged ventilation after Fontan surgery.

Retrospective case series.

Tertiary childrens hospital.

We included 123 children who underwent Fontan surgery without delayed sternal closure or extracorporeal membrane oxygenation between 2011 and 2017.

Fontan surgery.

Prolonged ventilation was defined as intubation for more than 24 hours after surgery. Preoperative, intraoperative, and perioperative data were collected retrospectively from medical records. Multivariate logistic regression analysis was used to identify risk factors for prolonged ventilation. The median age and weight of patients were 2.2 years and 10.0 kg, respectively. Seventeen per cent of the patients (n = 21) received prolonged mechanical ventilation, and the median intubation period was 2.9 days. There were no 90-day or in-hospital deaths. The independent predictors of prolonged ventilation identified were fenestration (p < 0.01), low pulmonary artery index (p = 0.02), and advanced atrioventricular regurgitation (p < 0.01). The duration of ICU stay was significantly longer in the prolonged ventilation group than in the early extubation group (10 days versus 6 days, p < 0.01).

Fenestration, low pulmonary artery index, and significant atrioventricular regurgitation are risk factors for prolonged ventilation after Fontan surgery. Careful preoperative and perioperative management that considers the risk factors for prolonged ventilation in each individual is important.

The aim of this study is to investigate the accuracy of shock index (SI) and modified shock index (mSI) in predicting the intensive care unit (ICU) requirement and in-hospital mortality among coronavirus disease (COVID-19) patients who are admitted to the emergency department (ED). Likewise, the effects of patients’ conditions such as age, gender, and comorbidity on prognosis will be analyzed.

The files were retrospectively scanned for all COVID-19 patients over the age of 18 years who were admitted to the ED and hospitalized between January 1, 2021, and March 15, 2021. The area under the receiver operating characteristic curve and the area under the curve (AUC) were used to assess each scoring system discriminatory for predicting in-hospital mortality and ICU admission.

There were 464 patients included in this study. The mean age of the patients was 62.4 ± 16.7, of which 245 were men and 219 were women. The most common comorbidity in patients was hypertension (200; 43.1%), followed by chronic obstructive pulmonary disease (174; 37.5%), and coronary artery disease (154; 33.2%). In terms of in-hospital mortality, the AUC of SI, and mSI were 0.719 and 0.739, respectively. In terms of an ICU requirement, the AUC of SI, and mSI were 0.704 and 0.729, respectively.

In this study, it was concluded that SI and mSI are useful in predicting in-hospital mortality and ICU requirement in COVID-19 patients. In addition, another important result of the study is that advanced age, male gender, and hypertension may be associated with a poor prognosis.

This study compared the prognostic performances of the Brescia-COVID Respiratory Severity Scale (BCRSS) and the Quick COVID-19 Severity Index (qCSI) scores in hospitalized patients diagnosed with COVID-19.

The data of all adult patients (over 18 y of age) who were admitted into a state hospital with confirmed COVID-19 between May 1, 2020, and October 31, 2020, were retrospectively examined. The area under the receiver operating characteristic (ROC) curve, known as the area under the curve (AUC), was used to assess the BCRSS prediction rule and the qCSI score to assess the discriminatory power in predicting in-hospital mortality and intensive care unit (ICU) admission.

There were 341 patients included in this study. The mean age of the patients was 58.2 ± 17.2, of which 165 were men and 176 were women, and 61.3% of patients had at least 1 comorbidity. The most common comorbidity was hypertension. The predictive power scores of BCRSS and qCSI were found as very good in terms of in-hospital mortality (AUC 0.804 and 0.847, respectively) and likewise in terms of ICU admission (AUC 0.842 and 0.851, respectively).

Both BCRSS and qCSI scoring systems were found to be successful in predicting in-hospital mortality and ICU admission in our patient population.

Supraglottoplasty for the treatment of laryngomalacia has little current evidence regarding post-operative care. Our study aimed to: (1) retrospectively assess what proportion of patients required paediatric intensive care unit level of care; (2) identify pre-operative predictive factors common to these cases; and (3) report patient outcomes at six weeks’ follow up.

A 10-year retrospective case series analysis was conducted of all patients diagnosed with laryngomalacia and subsequently treated with supraglottoplasty. Paediatric intensive care unit level of care was defined as the need for intubation or tracheostomy, positive pressure ventilation, multiple doses of nebulised adrenaline, and oxygen dependency beyond 12 hours.

Forty-two patients (19 males, 23 females) were identified; 28.5 per cent of cases met our criteria for paediatric intensive care unit level of care. A low pre-operative oxygen saturation was the only significant risk factor that predicted a future need for paediatric intensive care unit level of care (p = 0.0008).

This is the first study published in the UK to suggest the importance of pre-operative oxygen saturation as a predictor of a future need for paediatric intensive care unit level of care.

The purpose of our systematic review was to determine whether the introduction of palliative care (PC) teams reduces length of stay and/or mortality for terminally ill patients (TIPs) in an intensive care unit (ICU).

We hoped to examine studies that compared TIPs in an ICU who received end-of-life care following implementation of a PC team (intervention group) to those who received care where PC teams had not yet been introduced (control group). We searched MEDLINE via PubMed, LILACS, Scopus, Embase, and Cochrane CENTRAL (search conducted in December of 2015) without language restrictions. Our outcome measures were length of stay in an ICU, presented as an average difference with a corresponding 95% confidence interval (CI95%), and mortality in the ICU, presented as a risk ratio with a corresponding CI95%. Two of our authors independently extracted all of the data.

Of the 399 publications identified, 27 were selected for full-text analysis and 19 were excluded, leaving 8 articles for inclusion, which involved a total of 7,846 patients. A metaanalysis of mortality in the ICU was conducted with four studies. Lower mortality was found in the intervention group: risk ratio = 0.78 (CI95% = 0.70–0.87), p < 0.00001, I2 = 18%. Length of stay in the ICU was presented as a mean and standard deviation in four studies, and the result was a reduction of ~2.5 days in the length of stay with application of the intervention: mean = –2.44 days (CI95% = –4.41 to –0.48), p = 0.01, I2 = 86%.

Introduction of palliative care teams can reduce mortality rates in the ICU, and perhaps shorten length of stay in the ICU for terminally ill patients.