Criterios de aislamiento preventivo para la detección de portadores de bacterias multirresistentes en pacientes ingresados en la UCI: estudio multicéntrico dentro del programa Resistencia Zero / Preventive isolation criteria for multidrug-resistant bacteria detection in patients admitted to the ICU: Multicenter study within the Zero Resistance program

Objetivo: Conocer el rendimiento de los criterios de aislamiento preventivo del programa Resistencia Zero (RZ) e identificar los factores que pudieran mejorar su rendimiento. Diseño: Estudio de cohorte prospectivo y multicéntrico. Ámbito: Unidades de cuidados críticos que aplicaban el protocolo RZ, y que aceptaron la invitación al estudio. Pacientes o participantes: Pacientes a los que se les realizaron cultivos de vigilancia (nasal, faríngeo, axilar y rectal) y/o diagnósticos al ingreso en la UCI. Intervenciones: Análisis de los factores de riesgo (FR) RZ y otras variables del registro ENVIN. Se realizó un estudio univariable y multivariable con metodología de regresión logística binaria (significación con p<0,05). Se efectuó análisis de sensibilidad y especificidad para cada uno de los factores seleccionados. Variables de interés principales: Portador de bacteria multirresistente (BMR) al ingreso en la UCI, FR (antecedente de colonización/infección por BMR, ingreso hospitalario en los 3 meses previos, uso de antibiótico el mes previo, estar institucionalizado, diálisis y otras condiciones crónicas) y comorbilidades. Resultados: Participaron 2.252 pacientes de 9 UCI españolas. Fueron identificados BMR en 283 (12,6%). Ciento noventa y tres (68,2%) presentaban algún FR (OR: 4,6; IC 95%: 3,5-6,0). Todos los FR del programa RZ alcanzaron significación estadística (sensibilidad: 66%; especificidad: 79%), siendo el antecedente de BMR el factor con más peso. Inmunodepresión, tratamiento antibiótico al ingreso y sexo masculino son FR adicionales para BMR. Se aislaron BMR en 87 (31,8%) sin FR. (AU)

Objective: To verify the validity of a check list of risk factors (RF) proposed by the Spanish “Resistencia Zero” project (RZ) in the detection of multi-resistant bacteria (MRB), as well as to identify other possible RF for colonization and infection by MRB at intensive care (ICU) admission. Design: A prospective cohort study, conducted in 2016. Setting: Multicenter study, patients who needed admission to adult critical care units that applied the RZ protocol and accepted the invitation for the study. Patients or participants: Consecutive sample of patients admitted to ICU, who underwent surveillance (nasal, pharyngeal, axillary, and rectal) or clinical cultures. Interventions: Analysis of the RF of RZ project, in addition to other comorbidities, included in the ENVIN registry. A univariate and multivariate study was conducted, with binary logistic regression methodology (significance with P<.05). Sensitivity and specificity analyses were performed for each of the selected factors. Main variables of interest: Carrier of BMR at ICU admission, RF (previous MRB colonization/infection, hospital admission in the previous 3 months, antibiotic use in the past month, institutionalization, dialysis, and other chronic conditions) and comorbidities. Results: Two thousand two hundred and seventy patients were included from 9 Spanish ICUs. We identified BMR in 288 (12.6% of total patients admitted). One hundred and ninety-three (68.2%) had some RF (OD 4.6 -95% CI 3.5-6.0). All 6 RF from check list achieved statistical significance in the univariate analysis (sensitivity 66%, specificity 79%). Immunosuppression, antibiotic use at ICU admission and male gender were additional RF for BMR. BMR were isolated in 87 patients (31.8%) without RF. (AU)

Implantación de un equipo de asistencia al trauma grave. Análisis de la activación y tiempos de asistencia en pacientes ingresados en UCI / Implementation of a severe trauma assistance team: Analysis of activation and attendance times in patients admitted to the ICU

Objetivo Analizar los factores asociados a la activación del equipo de asistencia al trauma grave (EATG) en pacientes que ingresan en la Unidad de Cuidados Intensivos (UCI), medir su repercusión en los tiempos de asistencia, y analizar los grupos de pacientes según activación y nivel de afectación anatómica. Diseño Estudio de cohortes prospectivo del trauma grave que ingresan en UCI. Desde junio 2017 a mayo 2019. Factores de riesgo de la activación analizados con regresión logística y árbol de clasificación tipo CART. Ámbito UCI hospital de segundo nivel. Pacientes Pacientes ingresados de forma consecutiva. Intervenciones Ninguna. Variables de intereses principales Activación del EATG. Variables demográficas. Puntuación de la gravedad de la lesión (ISS), intencionalidad, mecanismo, tiempos de asistencia, complicaciones evolutivas y mortalidad. Resultados Ingresaron un total de 188 pacientes (46,8% de activación EATG), edad mediana de 52 (37-64) años (activados 47 (27-62) vs. no activados 55 (42-67) p = 0,023), varones 84,0%. No diferencias en la mortalidad según activación. El modelo logístico encuentra como factores: la atención (16,6 [2,1-13,2]) e intubación prehospitalaria (4,2 [1,8-9,8]) y, la lesión grave de extremidades inferiores (4,4 [1,6-12,3]). Padecer una caída accidental (0,2 [0,1-0,6]) hace menos probable la activación. El modelo CART selecciona el tipo de mecanismo del traumatismo y es capaz de separar los traumatismos de alta y baja energía. Conclusiones Los factores asociados con activación del ETAG fueron la atención prehospitalaria, requerir intubación previa, mecanismos de alta energía y lesiones graves de extremidades inferiores. Menores tiempos de asistencia si activación sin influir en la mortalidad. Debemos mejorar la activación en pacientes mayores con traumatismos de baja energía y sin atención prehospitalaria (AU)

Objective To analyse the factors associated with the activation of the severe trauma care team (STAT) in patients admitted to the ICU, to measure its impact on care times, and to analyse the groups of patients according to activation and level of anatomical involvement. Design Prospective cohort study of severe trauma admitted to the ICU. From June 2017 to May 2019. Risk factors for the activation of the STAT analysed with logistic regression and CART type classification tree. Setting Second level hospital ICU. Patients Patients admitted consecutively. Interventions No. Main variables of interest STAT activation, demographic variables, injury severity (ISS), intentionality, mechanism, assistance times, evolutionary complications, and mortality. Results A total of 188 patients were admitted (46.8% of STAT activation), median age of 52 (37–64) years (activated 47 (27–62) vs. not activated 55 (42–67), p = 0.023), males 84.0%. No difference in mortality according to activation. The logistic model finds as factors: care (16.6 (2.1–13.2)) and prehospital intubation (4.2 (1.8–9.8)) and severe lower extremity injury (4.4 (1.6–12.3)). Accidental fall (0.2 (0.1–0.6)) makes activation less likely. The CART model selects the type of trauma mechanism and can separate high and low energy trauma. Conclusions Factors associated with STAT activation were prehospital care, requiring prior intubation, high-energy mechanisms, and severe lower extremity injuries. Shorter care times if activated without influencing mortality. We must improve activation in older patients with low-energy trauma and without prehospital care (AU)

Preventive isolation criteria for the detection of multidrug-resistant bacteria in patients admitted to the Intensive Care Unit: A multicenter study within the Zero Resistance program.

OBJECTIVE: To verify the validity of a checklist of risk factors (RFs) proposed by the Spanish "Zero Resistance" project (ZR) in the detection of multidrug-resistant bacteria (MRB), and to identify other possible RFs for colonization and infection by MRB on admission to the Intensive Care Unit (ICU). DESIGN: A prospective cohort study, conducted in 2016. SETTING: Multicenter study, patients requiring admission to adult ICUs that applied the ZR protocol and accepted the invitation for participating in the study. PATIENTS OR PARTICIPANTS: Consecutive sample of patients admitted to the ICU and who underwent surveillance (nasal, pharyngeal, axillary and rectal) or clinical cultures. INTERVENTIONS: Analysis of the RFs of the ZR project, in addition to other comorbidities, included in the ENVIN registry. A univariate and multivariate analysis was performed, with binary logistic regression methodology (significance considered for p < 0.05). Sensitivity and specificity analyses were performed for each of the selected factors. MAIN VARIABLES OF INTEREST: Carrier of MRB on admission to the ICU, RFs (previous MRB colonization/infection, hospital admission in the previous 3 months, antibiotic use in the past month, institutionalization, dialysis, and other chronic conditions) and comorbidities. RESULTS: A total of 2270 patients from 9 Spanish ICUs were included. We identified MRB in 288 (12.6% of the total patients admitted). In turn, 193 (68.2%) had some RF (OR 4.6, 95%CI: 3.5-6.0). All 6 RFs from the checklist reached statistical significance in the univariate analysis (sensitivity 66%, specificity 79%). Immunosuppression, antibiotic use on admission to the ICU and the male gender were additional RFs for MRB. MRB were isolated in 87 patients without RF (31.8%). CONCLUSIONS: Patients with at least one RF had an increased risk of being carriers of MRB. However, almost 32% of the MRB were isolated in patients without RFs. Other comorbidities such as immunosuppression, antibiotic use on admission to the ICU and the male gender could be considered as additional RFs.