Analysis of adherence to an early mobilization protocol in an intensive care unit: Data collected prospectively over a period of three years by the clinical information system / Análisis de adherencia a un protocolo de movilización precoz en una unidad de cuidados intensivos: datos recopilados prospectivamente durante un periodo de tres años por el sistema de información clínica

Objective To determinate the adherence and barriers of our early mobilization protocol in patients who had received mechanical ventilation >48h in routine daily practice through clinical information system during all Intensive Care Unit (ICU) stay. Design Observational and prospective cohort study. Setting Polyvalent ICU over a three-year period (2017–2019). Patients Adult patients on mechanical ventilation >48h who met the inclusion criteria for the early mobilization protocol. Interventions None. Main variables of interest Demographics, adherence to the protocol and putative hidden adherence, total number of mobilizations, barriers, artificial airway/ventilatory support at each mobilization level and adverse events. Results We analyzed 3269 stay-days from 388 patients with median age of 63 (51–72) years, median APACHE II 23 (18–29) and median ICU stay of 10.1 (6.2–16.5) days. Adherence to the protocol was 56.6% (1850 stay-days), but patients were mobilized in only 32.2% (1472) of all stay-days. The putative hidden adherence was 15.6% (509 stay-days) which would increase adherence to 72.2%. The most common reasons for not mobilizing patients were failure to meeting the criteria for clinical stability in 241 (42%) stay-days and unavailability of physiotherapists in 190 (33%) stay-days. Adverse events occurred in only 6 (0.4%) stay-days. Conclusions Data form Clinical Information System showed although adherence was high, patients were mobilized in only one-third of all stay-days. Knowing the specific reason why patient were not mobilized in each stay-day allow to develop concrete decisions to increase the number of mobilizations (AU)

Objetivo Determinar la adherencia y barreras del protocolo de movilización precoz en pacientes que recibieron ventilación mecánica >48 horas en la práctica diaria habitual a través del sistema de información clínica durante toda su estancia en Unidad de Cuidados Intensivos (UCI). Diseño Estudio observacional y prospectivo. Ámbito UCI polivalente durante un periodo de tres años (2017-2019). Pacientes Se incluyeron pacientes adultos en ventilación mecánica > 48 horas que cumplieron los criterios de inclusión del protocolo. Intervenciones Ninguna. Variables principales Se aplicaron variables demográficas, adherencia y adherencia oculta, número total de movilizaciones, barreras, tipo vía aérea artificial/soporte ventilatorio en cada nivel de movilización y eventos adversos. Resultados Analizamos 3.269 días de estancia de 388 pacientes con una mediana de edad de 63 (51-72) años, mediana de APACHE-II 23(18-29) y estancia en UCI mediana de 10,1 (6,2-16,5) días. La adherencia al protocolo fue del 56,6% (1.850 días de estancia), pero los pacientes se movilizaron solo el 32,2% (1.472) de todos los días de estancia. La adherencia oculta fue del 15,6% (509 días de estancia), aumentando la adherencia al 72,2%. Las causas más comunes para la no movilización fueron el incumplimiento de los criterios de estabilidad clínica en 241 (42%) días de estancia y la falta de disponibilidad de fisioterapeutas en 190 (33%) días de estancia. Los eventos adversos ocurrieron en solo 6 (0,4%) días de estancia. Conclusiones Aunque la adherencia fue alta, los pacientes se movilizaron en solo un tercio de todos los días de estancia. Conocer el motivo específico por el cual los pacientes no fueron movilizados permite desarrollar decisiones concretas para incrementar el número de movilizaciones (AU)

Analysis of adherence to an early mobilization protocol in an intensive care unit: Data collected prospectively over a period of three years by the clinical information system.

OBJECTIVE: To determinate the adherence and barriers of our early mobilization protocol in patients who had received mechanical ventilation >48h in routine daily practice through clinical information system during all Intensive Care Unit (ICU) stay. DESIGN: Observational and prospective cohort study. SETTING: Polyvalent ICU over a three-year period (2017-2019). PATIENTS: Adult patients on mechanical ventilation >48h who met the inclusion criteria for the early mobilization protocol. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Demographics, adherence to the protocol and putative hidden adherence, total number of mobilizations, barriers, artificial airway/ventilatory support at each mobilization level and adverse events. RESULTS: We analyzed 3269 stay-days from 388 patients with median age of 63 (51-72) years, median APACHE II 23 (18-29) and median ICU stay of 10.1 (6.2-16.5) days. Adherence to the protocol was 56.6% (1850 stay-days), but patients were mobilized in only 32.2% (1472) of all stay-days. The putative hidden adherence was 15.6% (509 stay-days) which would increase adherence to 72.2%. The most common reasons for not mobilizing patients were failure to meeting the criteria for clinical stability in 241 (42%) stay-days and unavailability of physiotherapists in 190 (33%) stay-days. Adverse events occurred in only 6 (0.4%) stay-days. CONCLUSIONS: Data form Clinical Information System showed although adherence was high, patients were mobilized in only one-third of all stay-days. Knowing the specific reason why patient were not mobilized in each stay-day allow to develop concrete decisions to increase the number of mobilizations.

Regional oxygen saturation index (rSO2) in brachioradialis and deltoid muscle. Correlation and prognosis in patients with respiratory sepsis

Objective. To compare oxygen saturation index (rSO2) obtained simultaneously in two different brachial muscles. Design. Prospective and observational study. Setting. Intensive care unit. Patients. Critically ill patients with community-acquired pneumonia. Interventions. Two probes of NIRS device (INVOS 5100) were simultaneously placed on the brachioradialis (BR) and deltoid (D) muscles. Variables. rSO2 measurements were recorded at baseline (ICU admission) and at 24h. Demographic and clinical variables were registered. Pearson's correlation coefficient was used to assess the association between continuous variables. The consistency of the correlation was assessed using the intraclass correlation coefficient (ICC) and Bland–Altman plot. The predictive value of the rSO2 for mortality was calculated by ROC curve. Results. Nineteen patients were included with an ICU mortality of 21.1%. The rSO2 values at baseline and at 24h were significantly higher in D than in BR muscle. Values obtained simultaneously in both limbs showed a strong correlation and adequate consistency: BR (r=0.95; p<0.001; ICC=0.94; 95% CI: 0.90–0.96; p<0.001), D (r=0.88; p=0.01; ICC=0.88; 95% CI: 0.80–0.90; p>0.001) but a wide limit of agreement. Non-survivors had rSO2 values significantly lower than survivors at all times of the study. No patient with rSO2 >60% in BR died, and only 17.6% died with an rSO2 value >60% in D. Both muscles showed consistent discriminatory power for mortality. Conclusion. Both BR and D muscles were appropriate for measuring rSO2 (AU)

Objetivo. Comparar el índice de saturación tisular de oxígeno (rSO2) medido de forma simultánea en 2 diferentes músculos braquiales. Diseño. Estudio prospectivo, observacional. Ámbito. Servicio de Medicina Intensiva. Pacientes. Críticos con neumonía comunitaria. Intervenciones. Dos sensores con tecnología NIRS (INVOS™ 5100) fueron ubicados de forma simultánea en los músculos braquiorradial (BR) y deltoides (D). Variables. Las mediciones del rSO2 se efectuaron al ingreso (basal) y a las 24h. Se registraron los datos demográficos y clínicos. La correlación de Pearson se utilizó para estudiar la asociación entre variables continuas. La concordancia de la correlación fue valorada mediante el coeficiente de correlación intraclase (ICC) y el análisis de Bland-Altman. El valor predictivo de rSO2 para mortalidad fue calculado mediante curva ROC. Resultados. Se incluyeron 19 pacientes con una mortalidad de 21,1%. El valor basal y a las 24h de rSO2 fue significativamente mayor en D respecto del BR. Los valores obtenidos de forma simultánea en ambos miembros evidenciaron una buena correlación y una adecuada concordancia: BR (r=0,95; p<0,001. ICC=0,94; IC 95%: 0,90-0,96; p<0,001), D (r=0,88; p=0,01. ICC=0,88; IC 95%: 0,80-0,90; p<0,001), así como un amplio rango de concordancia. Los fallecidos presentaron valores de rSO2 significativamente menores que los supervivientes en todos los momentos del estudio. Ningún paciente con rSO2>60% en BR falleció, y solo el 17,6% fallecieron con un rSO2>60% en D. Ambos músculos evidenciaron un buen poder de discriminación para mortalidad. Conclusiones. Tanto el músculo BR como el D fueron apropiados para la medición del rSO2 (AU)

Regional oxygen saturation index (rSO2) in brachioradialis and deltoid muscle. Correlation and prognosis in patients with respiratory sepsis.

OBJECTIVE: To compare oxygen saturation index (rSO2) obtained simultaneously in two different brachial muscles. DESIGN: Prospective and observational study. SETTING: Intensive care unit. PATIENTS: Critically ill patients with community-acquired pneumonia. INTERVENTIONS: Two probes of NIRS device (INVOS 5100) were simultaneously placed on the brachioradialis (BR) and deltoid (D) muscles. VARIABLES: rSO2 measurements were recorded at baseline (ICU admission) and at 24h. Demographic and clinical variables were registered. Pearson's correlation coefficient was used to assess the association between continuous variables. The consistency of the correlation was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plot. The predictive value of the rSO2 for mortality was calculated by ROC curve. RESULTS: Nineteen patients were included with an ICU mortality of 21.1%. The rSO2 values at baseline and at 24h were significantly higher in D than in BR muscle. Values obtained simultaneously in both limbs showed a strong correlation and adequate consistency: BR (r=0.95; p<0.001; ICC=0.94; 95% CI: 0.90-0.96; p<0.001), D (r=0.88; p=0.01; ICC=0.88; 95% CI: 0.80-0.90; p>0.001) but a wide limit of agreement. Non-survivors had rSO2 values significantly lower than survivors at all times of the study. No patient with rSO2 >60% in BR died, and only 17.6% died with an rSO2 value >60% in D. Both muscles showed consistent discriminatory power for mortality. CONCLUSION: Both BR and D muscles were appropriate for measuring rSO2.

Ventilator-associated pneumonia in trauma patients is associated with lower mortality: results from EU-VAP study.

BACKGROUND: Differences in trauma patients developing ventilator-associated pneumonia (VAP) are described regarding etiology and risk factors associated. We aim to describe the differences in outcomes in trauma and nontrauma patients with VAP. METHODS: A prospective, observational study conducted in 27 intensive care units from nine European countries. We included patients requiring invasive mechanical ventilation for >48 hours who developed VAP. Logistic regression model was used to assess the factors independently associated with mortality in trauma patients with VAP. RESULTS: A total of 2,436 patients were evaluated; 465 developed VAP and of these 128 (27.5%) were trauma patients. Trauma patients were younger than nontrauma (45.3 ± 19.4 vs. 61.1 ± 16.7, p < 0.0001). Nontrauma had higher simplified acute physiology score II compared with trauma patients (45.5 ± 16.3 vs. 41.1 ± 15.2, p = 0.009). Most prevalent pathogens in trauma patients with early VAP were Enterobacteriaceae spp. (46.9% vs. 27.8%, p = 0.06) followed by methicillin-susceptible Staphylococcus aureus (30.6% vs. 13%, p = 0.03) and then Haemophilus influenzae (14.3% vs. 1.9%, p = 0.02), and the most prevalent pathogen in late VAP was Acinetobacter baumannii (12.2% vs. 44.4%, p < 0.0001). Mortality was higher in nontrauma patients than in trauma patients (42.6% vs. 17.2%, p < 0.001, odds ratio [OR] = 3.55, 95%CI = 2.14-5.88). A logistic regression model adjusted for sex, age, severity of illness at intensive care unit admission, and sepsis-related organ failure assessment score at the day of VAP diagnosis confirmed that trauma was associated with a lower mortality compared with nontrauma patients (odds ratio [OR] = 0.37, 95%CI = 0.21-0.65). CONCLUSIONS: Trauma patients developing VAP had different demographic characteristics and episodes of etiology. After adjustment for potential confounders, VAP episodes in trauma patients are associated with lower mortality when compared with nontrauma patients.