El método del factor de Bayes en el análisis de la energía mecánica en pacientes con insuficiencia respiratoria grave por SARS-CoV-2 / The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2

Objetivo: Precisar el grado de fuerza probatoria de las hipótesis estadísticas con relación a la mortalidad a 28 días y el valor umbral de 17J/min de potencia mecánica (PM) en pacientes con insuficiencia respiratoria secundaria a SARS-CoV-2. Diseño: Estudio de cohortes, longitudinal y analítico. Ámbito: Unidad de cuidados intensivos de un hospital de tercer nivel en España. Pacientes: Enfermos ingresados por infección por SARS-CoV-2 con ingreso en la UCI entre marzo de 2020 y marzo de 2022. Intervenciones: Análisis bayesiano con el modelo binomial beta. Variables de interés principales: Factor de Bayes, mechanical power. Resultados: Fueron analizados 253 pacientes. La frecuencia respiratoria inicial (BF10: 3,83×106), el valor de la presión pico (BF10: 3,72×1013) y el desarrollo de neumotórax (BF10: 17.663) fueron los valores con más probabilidad de ser diferentes entre los 2 grupos de pacientes comparados. En el grupo de pacientes con PM<17J/min se estableció un BF10 de 12,71 y un BF01 de 0,07 con un IdC95% de 0,27-0,58; Para el grupo de pacientes con PM≥17J/min el BF10 fue de 36.100 y el BF01 de 2,77e-05 con un IdC95% de 0,42-0,72. Conclusiones: Un valor de PM≥17J/min se asocia con una evidencia extrema con la mortalidad a 28 días en pacientes que necesitaron ventilación mecánica por insuficiencia respiratoria secundaria a enfermedad por SARS-CoV-2. (AU)

Objective: To specify the degree of probative force of the statistical hypotheses in relation to mortality at 28 days and the threshold value of 17J/min mechanical power (MP) in patients with respiratory failure secondary to SARS-CoV-2. Design: Cohort study, longitudinal, analytical. Setting: Intensive care unit of a third level hospital in Spain. Patients: Patients admitted for SARS-CoV-2 infection with admission to the ICU between March 2020 and March 2022. Interventions: Bayesian analysis with the beta binomial model. Main variables of interest: Bayes factor, mechanical power. Results: A total of 253 patients were analyzed. Baseline respiratory rate (BF10: 3.83×106), peak pressure value (BF10: 3.72×1013) and neumothorax (BF10: 17,663) were the values most likely to be different between the two groups of patients compared. In the group of patients with MP<17J/min, a BF10 of 12.71 and a BF01 of 0.07 were established with an 95%CI of 0.27-0.58. For the group of patients with MP≥17J/min the BF10 was 36,100 and the BF01 of 2.77e-05 with an 95%CI of 0.42-0.72. Conclusions: A MP≥17J/min value is associated with extreme evidence with 28-day mortality in patients requiring MV due to respiratory failure secondary to SARS-CoV-2 disease. (AU)

Estudio retrospectivo del efecto de la vacunación frente al SARS-CoV-2 en enfermos graves que ingresan en una unidad de cuidados intensivos / Retrospective study of the effect of vaccination against SARS-CoV-2 in seriously ill patients admitted to an intensive care unit

Antecedentes y objetivo Planteamos nuestro trabajo con el objetivo de comparar las características clínico-epidemiológicas, la estancia en la UCI y la mortalidad de pacientes con COVID-19 que ingresaron en la UCI con vacunación completa, incompleta o sin vacunar. Pacientes y métodos Estudio retrospectivo de cohortes (marzo 2020-marzo 2022). Los pacientes fueron clasificados en pacientes no vacunados, pauta de vacunación completa y pauta de vacunación incompleta. Se realizó inicialmente un análisis descriptivo de la muestra, un análisis multivariable de la supervivencia ajustando un modelo de regresión de Cox y un análisis de supervivencia a 90 días con el método de Kaplan-Meier para la variable de tiempo de muerte. Resultados Fueron analizados los 894 pacientes: 179 con una pauta de vacunación completa, 32 con una pauta incompleta y 683 no estaban vacunados. Los enfermos vacunados presentaron con menor frecuencia (10 vs. 21% y 18%) un SDRA grave. La curva de supervivencia no presentó diferencias en la probabilidad de sobrevivir a los 90 días entre los grupos estudiados (p = 0,898). En el análisis de regresión de COX, únicamente la necesidad de VM durante el ingreso y el valor de LDH (por unidad de medida) en las primeras 24 h de ingreso se asociaron de forma significativa con la mortalidad a los 90 días (HR: 5,78; IC 95%: 1,36-24,48); p = 0,01 y HR: 1,01; IC 95%: 1,00-1,02; p = 0,03, respectivamente. Conclusiones Los pacientes vacunados frente a la COVID-19 con enfermedad grave por SARS-CoV-2 presentan unas tasas de SDRA grave y de VM menores que las de aquellos pacientes no vacunados (AU)

Background and objective Our study aims to compare the clinical and epidemiological characteristics, length of stay in the ICU, and mortality rates of COVID-19 patients admitted to the ICU who are fully vaccinated, partially vaccinated, or unvaccinated. Patients and methods Retrospective cohort study (March 2020-March 2022). Patients were classified into unvaccinated, fully vaccinated, and partially vaccinated groups. We initially performed a descriptive analysis of the sample, a multivariable survival analysis adjusting for a Cox regression model, and a 90-day survival analysis using the Kaplan-Meier method for the death time variable. Results A total of 894 patients were analyzed: 179 with full vaccination, 32 with incomplete vaccination, and 683 were unvaccinated. Vaccinated patients had a lower incidence (10% vs. 21% and 18%) of severe ARDS. The survival curve did not show any differences in the probability of surviving for 90 days among the studied groups (p = 0.898). In the Cox regression analysis, only the need for mechanical ventilation during admission and the value of LDH (per unit of measurement) in the first 24 hours of admission were significantly associated with mortality at 90 days (HR: 5.78; 95% CI: 1.36-24.48); p = 0.01 and HR: 1.01; 95% CI: 1.00-1.02; p = 0.03, respectively. Conclusions Patients with severe SARS-CoV-2 disease who are vaccinated against COVID-19 have a lower incidence of severe ARDS and mechanical ventilation than unvaccinated patients (AU)

Análisis de las características de los pacientes mayores que ingresaron en una unidad de cuidados intensivos durante las 6 olas de la pandemia por SARS-CoV-2: implicaciones para la atención médica / Analysis of characteristics of elderly patients admitted to an intensive care unit during six waves of the SARS-CoV-2 pandemic: Implications for medical care

Objetivo Analizar las características de los enfermos adultos graves de mayor edad, durante las 6 olas de la pandemia COVID-19. Método Estudio retrospectivo, observacional y analítico sobre pacientes mayores de 70 años con ingreso en la UCI (marzo-2020/marzo-2022). Los pacientes se categorizaron en 3 grupos en función de la edad: 70-74 años, 75-79 años y >80 años. Se realizó inicialmente un análisis descriptivo y comparativo de la muestra, y un análisis de supervivencia a los 28, 60 y 90 días con el método de Kaplan-Meier. El análisis multivariable de la supervivencia se realizó ajustando un modelo de Cox. Resultados De 301 enfermos, el menor número de ingresos se produjo durante la primera ola (20 [6%]), frente a la que fue la ola con mayor número de ingresos: la sexta ola (76 [25%]). Las curvas de supervivencia a los 28, a los 60 días y a los 90 días evidenciaron una mayor probabilidad de sobrevivir en los grupos de menor edad (p<0,01 y p=0,01, respectivamente). La troponina al ingreso (por unidad, ng/l), evidenció un asociación significativa con la mortalidad a 28 y 60 días (HR: 1,00; IC 95%: 1,00-1,01; p<0,05). Tomando como referencia la 1.ª oleada de la pandemia, el ingreso en 3.ª oleada se comportó como un factor de protección frente a la mortalidad a los 28 y 60 días de seguimiento (HR: 0,18; IC 95%: 0,02-0,64; p<0,05; HR: 0,13; IC 95%: 0,02-0,64; p<0,05, respectivamente). Conclusiones El momento de ingreso y biomarcadores, como la troponina, se constituyen en marcadores pronósticos independientes de la edad en la población añosa (AU)

Objective To analyze the characteristics of seriously ill elderly patients during the six waves of the COVID-19 pandemic. Method Retrospective, observational and analytical study of patients over 70 years of age admitted to the ICU (March-2020 to March-2022). Patients were categorized into three groups based on age: 70-74 years; 75-79 years; and >80 years. A descriptive and comparative analysis of the sample was initially performed; and a 28-, 60- and 90-day survival analysis using the Kaplan–Meier method. Multivariate survival analysis was performed by fitting a Cox model. Results Of 301 patients, the lowest number of admissions occurred during the first wave (20 (6%)), compared to the wave with the highest number of admissions: the sixth wave (76 (25%)). The survival curves at 28 days, 60 days and 90 days showed a higher probability of survival in the younger age groups (P<.01 and P=.01, respectively). Troponin at admission (per unit, ng/l) showed a significant association with 28- and 60-day mortality (HR: 1.00; 95% CI: 1.00-1.01; P<.05). Taking the 1st wave of the pandemic as a reference, admission in the 3rd wave behaved as a protective factor against mortality at 28 and 60 days of follow-up (HR: 0.18; 95% CI: 0.02-0.64; P<.05; HR: 0.13; 95% CI: 0.02–0.64; P<.05, respectively). Conclusions The time of admission and biomarkers, such as troponin, constitute prognostic markers independent of age in the elderly population (AU)

[Analysis of characteristics of elderly patients admitted to an intensive care unit during six waves of the SARS-CoV-2 pandemic: Implications for medical care]. / Análisis de las características de los pacientes mayores que ingresaron en una unidad de cuidados intensivos durante las 6 olas de la pandemia por SARS-CoV-2: implicaciones para la atención médica.

OBJECTIVE: To analyze the characteristics of seriously ill elderly patients during the six waves of the COVID-19 pandemic. METHOD: Retrospective, observational and analytical study of patients over 70 years of age admitted to the ICU (March-2020 to March-2022). Patients were categorized into three groups based on age: 70-74 years; 75-79 years; and >80 years. A descriptive and comparative analysis of the sample was initially performed; and a 28-, 60- and 90-day survival analysis using the Kaplan-Meier method. Multivariate survival analysis was performed by fitting a Cox model. RESULTS: Of 301 patients, the lowest number of admissions occurred during the first wave (20 (6%)), compared to the wave with the highest number of admissions: the sixth wave (76 (25%)). The survival curves at 28 days, 60 days and 90 days showed a higher probability of survival in the younger age groups (P<.01 and P=.01, respectively). Troponin at admission (per unit, ng/l) showed a significant association with 28- and 60-day mortality (HR: 1.00; 95% CI: 1.00-1.01; P<.05). Taking the 1st wave of the pandemic as a reference, admission in the 3rd wave behaved as a protective factor against mortality at 28 and 60 days of follow-up (HR: 0.18; 95% CI: 0.02-0.64; P<.05; HR: 0.13; 95% CI: 0.02-0.64; P<.05, respectively). CONCLUSIONS: The time of admission and biomarkers, such as troponin, constitute prognostic markers independent of age in the elderly population.

[The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2]. / El método del factor de Bayes en el análisis de la energía mecánica en pacientes con insuficiencia respiratoria grave por SARS-CoV-2.

Objective: To specify the degree of probative force of the statistical hypotheses in relation to mortality at 28 days and the threshold value of 17 J/min mechanical power (MP) in patients with respiratory failure secondary to SARS-CoV-2. Design: Cohort study, longitudinal, analytical. Setting: Intensive care unit of a third level hospital in Spain. Patients: Patients admitted for SARS-CoV-2 infection with admission to the ICU between March 2020 and March 2022. Interventions: Bayesian analysis with the beta binomial model. Main variables of interest: Bayes factor, mechanical power. Results: A total of 253 patients were analyzed. Baseline respiratory rate (BF10: 3.83 × 106), peak pressure value (BF10: 3.72 × 1013) and neumothorax (BF10: 17,663) were the values most likely to be different between the two groups of patients compared. In the group of patients with MP < 17 J/min, a BF10 of 12.71 and a BF01 of 0.07 were established with an 95%CI of 0.27-0.58. For the group of patients with MP ≥ 17 J/min the BF10 was 36,100 and the BF01 of 2.77e-05 with an 95%CI of 0.42-0.72. Conclusions: A MP ≥ 17 J/min value is associated with extreme evidence with 28-day mortality in patients requiring MV due to respiratory failure secondary to SARS-CoV-2 disease.

[Retrospective study of the effect of vaccination against SARS-CoV-2 in seriously ill patients admitted to an intensive care unit]. / Estudio retrospectivo del efecto de la vacunación frente al SARS-CoV-2 en enfermos graves que ingresan en una unidad de cuidados intensivos.

BACKGROUND AND OBJECTIVE: Our study aims to compare the clinical and epidemiological characteristics, length of stay in the ICU, and mortality rates of COVID-19 patients admitted to the ICU who are fully vaccinated, partially vaccinated, or unvaccinated. PATIENTS AND METHODS: Retrospective cohort study (March 2020-March 2022). Patients were classified into unvaccinated, fully vaccinated, and partially vaccinated groups. We initially performed a descriptive analysis of the sample, a multivariable survival analysis adjusting for a Cox regression model, and a 90-day survival analysis using the Kaplan-Meier method for the death time variable. RESULTS: A total of 894 patients were analyzed: 179 with full vaccination, 32 with incomplete vaccination, and 683 were unvaccinated. Vaccinated patients had a lower incidence (10% vs. 21% and 18%) of severe ARDS. The survival curve did not show any differences in the probability of surviving for 90 days among the studied groups (p = 0.898). In the Cox regression analysis, only the need for mechanical ventilation during admission and the value of LDH (per unit of measurement) in the first 24 hours of admission were significantly associated with mortality at 90 days (HR: 5.78; 95% CI: 1.36-24.48); p = 0.01 and HR: 1.01; 95% CI: 1.00-1.02; p = 0.03, respectively. CONCLUSIONS: Patients with severe SARS-CoV-2 disease who are vaccinated against COVID-19 have a lower incidence of severe ARDS and mechanical ventilation than unvaccinated patients.

The Bayes factor in the analysis of mechanical power in patients with severe respiratory failure due to SARS-CoV-2.

OBJECTIVE: To specify the degree of probative force of the statistical hypotheses in relation to mortality at 28 days and the threshold value of 17 J/min mechanical power (MP) in patients with respiratory failure secondary to SARS-CoV-2. DESIGN: Cohort study, longitudinal, analytical. SETTING: Intensive care unit of a third level hospital in Spain. PATIENTS: Patients admitted for SARS-CoV-2 infection with admission to the ICU between March 2020 and March 2022. INTERVENTIONS: Bayesian analysis with the beta binomial model. MAIN VARIABLES OF INTEREST: Bayes factor, mechanical power. RESULTS: A total of 253 patients were analyzed. Baseline respiratory rate (BF10: 3.83 × 106), peak pressure value (BF10: 3.72 × 1013) and neumothorax (BF10: 17,663) were the values most likely to be different between the two groups of patients compared. In the group of patients with MP < 17 J/min, a BF10 of 12.71 and a BF01 of 0.07 were established with an 95%CI of 0.27-0.58. For the group of patients with MP ≥ 17 J/min the BF10 was 36,100 and the BF01 of 2.77e-05 with an 95%CI of 0.42-0.72. CONCLUSIONS: A MP ≥ 17 J/min value is associated with extreme evidence with 28-day mortality in patients requiring MV due to respiratory failure secondary to SARS-CoV-2 disease.

En respuesta a la pregunta: «¿Jugamos todos en el mismo equipo?» / In reply to the question: "Are we really playing together in the same team?"

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Utilización no apropiada del término de insuficiencia hepática aguda en un hospital de tercer nivel / Inappropriate use of the term of acute liver failure in a tertiary hospital

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Utilización no apropiada del término de insuficiencia hepática aguda en un hospital de tercer nivel / Inappropriate use of the term of acute liver failure in a tertiary hospital

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Ácido tranexámico nebulizado como alternativa de tratamiento en la hemorragia pulmonar / Nebulized tranexamic acid as a therapeutic alternative in pulmonary hemorrhage

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Super-refractory nonconvulsive status epilepticus due to self-poisoning with metaldehyde.

INTRODUCTION: Metaldehyde self-poisoning in adults is uncommon and, to the best of our knowledge, an episode of super-refractory nonconvulsive status epilepticus (sr-NCSE) following an suicide attempt has not been previously demonstrated. CASE REPORT: A 68-year-old woman was admitted to our Intensive Care Unit (ICU) in coma. On neurologic examination, the pupils were reactive, brainstem reflexes were present and plantar responses were flexor bilaterally. Routine laboratory tests were unremarkable. Arterial blood gas analysis revealed a mixed acidosis. A computed tomography (CT) scan of the brain and angio-CT were normal. The family confirmed that the patient had had suicidal ideation, and they had discovered a bag of slug killer (metaldehyde 5%) in her room. Two hours after the admission at the ICU, her neurological state remained unchanged. Sedation with intravenous propofol and antiepileptic therapy with levetiracetam (1000 mg/24 h) were started. The next day, propofol infusion was stopped but the level of consciousness of the patient did not improve. A video-electroencephalograhy (v-EEG) showed continuous generalized paroxysms of spike-wave and sharp-slow wave complexes compatible with the diagnosis of generalized NCSE. On day 3, the episode of NCSE was controlled. Finally, 15 days after ICU admission she was discharged with a normal neurological examination. CONCLUSION: This clinical case highlights that in comatose patients as consequence of metaldehyde poisoning, a v-EEG evaluation should be perform in order to rule out the existence of NCSE.

Elección de fluidos en el periodo perioperatorio del trasplante renal / Choice of fluids in the perioperative period of kidney transplantation

El suero salino normal (SSN) ha sido clásicamente el fluido de resucitación elegido en el periodo perioperatorio del trasplante renal frente a aquellas soluciones balanceadas con potasio. Sin embargo, los problemas derivados de la hipercloremia desencadenada por la infusión de SSN han llevado a la realización de estudios que comparaban esta solución con los fluidos equilibrados. Mediante la presente revisión narrativa se deduce que el uso de cristaloides balanceados con contenido de potasio en su formulación, en el perioperatorio de trasplante renal, puede considerarse seguro. Estas soluciones no provocan una alteración del potasio sérico mayor que la provocada por el SSN y mantienen mejor el equilibrio ácido-base en estos enfermos (AU)

Normal saline has traditionally been the resuscitation fluid of choice in the perioperative period of kidney transplantation over balanced potassium solutions. However, the problems arising from hyperchloraemia triggered by the infusion of normal saline have led to studies being conducted that compare this solution with balanced solutions. From this narrative review it can be concluded that the use of balanced crystalloids containing potassium in the perioperative period of kidney transplantation can be considered safe. These solutions do not affect serum potassium levels any more than normal saline, whilst maintaining a better acid-base balance in these patients (AU)

Choice of fluids in the perioperative period of kidney transplantation. / Elección de fluidos en el periodo perioperatorio del trasplante renal.

Normal saline has traditionally been the resuscitation fluid of choice in the perioperative period of kidney transplantation over balanced potassium solutions. However, the problems arising from hyperchloraemia triggered by the infusion of normal saline have led to studies being conducted that compare this solution with balanced solutions. From this narrative review it can be concluded that the use of balanced crystalloids containing potassium in the perioperative period of kidney transplantation can be considered safe. These solutions do not affect serum potassium levels any more than normal saline, whilst maintaining a better acid-base balance in these patients.

Evolución en las decisiones de limitación de los tratamientos de soporte vital en una unidad de cuidados intensivos durante una década (2005-2014) / Decision trends regarding the limitation of life support treatment in an intensive care unit over a decade (2005-2014)

Objetivo. Evaluar cómo han variado las decisiones de limitación del tratamiento de soporte vital (LTSV) en una unidad de cuidados intensivos (UCI) de tercer nivel a lo largo de un período de diez años. Métodos. Estudio observacional, retrospectivo y comparativo, en la UCI de un hospital universitario terciario en España, desde enero de 2005 hasta diciembre de 2014. Mediante el análisis de la base de datos informatizada del servicio, se obtuvo la muestra de enfermos en los que se realizó LTSV en el periodo descrito. Se presentan las variables categóricas como frecuencias absolutas y porcentajes, y las cuantitativas como media y desviación estándar. La χ2 se utilizó para evaluar la significación estadística de las variables categóricas y se utilizó la t de Student en las variables cuantitativas. La relación entre las variables y la decisión de LTSV se estudió mediante regresión logística. Resultados. LTSV se realizó en 409 (4,95%) a partir de 8.258 pacientes estudiados. El análisis comparativo mostró diferencias significativas entre el valor de APACHE II el día de la decisión LTSV (p=0,0001), se produjo una modificación en la distribución del tipo de LTSV, el estado de salud de los pacientes previa al ingreso en la UCI y mortalidad en la UCI en diferentes etapas. La LTSV tipo I pasó de ser el tipo de LTSV más frecuente en el año 2005, a ser el menos una década después (26,06%; IC95%: 15,60-40,26) frente a 7,32%; IC95%: 2,52-19,43). Actualmente la LTSV tipo V se ha convertido en frecuencia en la segunda opción (19,51%; IC95%: 10,23-34,01) cuando se decide la LTSV. Conclusión. Las decisiones de LTSV han cambiado la forma y las consecuencias de tomar esta decisión. Parece razonable estandarizar registros individualizados para tal finalidad (AU)

Objective. To evaluate how the decision regarding limitation of life support treatment (LLST) has varied in a tertiary ICU over a period of ten years. Methods. An observational, retrospective and comparative study of ICU patients in a tertiary university hospital in Spain from January 2005 to December 2014. Through the analysis of the unit's computerised database, we obtained the sample of patients in whom LLST was performed in the period described. The categorical variables are described as absolute frequencies and percentages, and the quantitative variables as mean and standard deviation. Chi-square was used to assess the statistical significance of categorical variables and Student's t-test was used for quantitative variables. The relationship between variables and LLST decision was studied using logistic regression. Results. LLST was performed in 409 (4.95%) of the 8,258 patients studied. The comparative analysis showed significant differences between the APACHE II values on the day of the decision regarding LLST (p=.0001), there was a change in the distribution of the type of LLST, a change in the health status of patient prior to ICU admission and ICU mortality at different stages. Type I LLST went from the most common type of LLST in 2005 to the least common a decade later (26.06%; 95% CI: 15.60-40.26 versus 7.32%; 95% CI: 2.52-19.43). Type V LLST is currently the second most common option (19.51%; 95% CI: 10.23-34.01) when deciding on LLST. Conclusion. LLST decisions have changed the way in which this decision is made and the consequences surrounding it. It seems reasonable to standardise individualised records for this purpose (AU)

Association between recurrence of acute kidney injury and mortality in intensive care unit patients with severe sepsis.

BACKGROUND: Acute kidney injury (AKI) occurs in more than half critically ill patients admitted in intensive care units (ICU) and increases the mortality risk. The main cause of AKI in ICU is sepsis. AKI severity and other related variables such as recurrence of AKI episodes may influence mortality risk. While AKI recurrence after hospital discharge has been recently related to an increased risk of mortality, little is known about the rate and consequences of AKI recurrence during the ICU stay. Our hypothesis is that AKI recurrence during ICU stay in septic patients may be associated to a higher mortality risk. METHODS: We prospectively enrolled all (405) adult patients admitted to the ICU of our hospital with the diagnosis of severe sepsis/septic shock for a period of 30 months. Serum creatinine was measured daily. 'In-ICU AKI recurrence' was defined as a new spontaneous rise of ≥0.3 mg/dl within 48 h from the lowest serum creatinine after the previous AKI episode. RESULTS: Excluding 5 patients who suffered the AKI after the initial admission to ICU, 331 patients out of the 400 patients (82.8%) developed at least one AKI while they remained in the ICU. Among them, 79 (19.8%) developed ≥2 AKI episodes. Excluding 69 patients without AKI, in-hospital (adjusted HR = 2.48, 95% CI 1.47-4.19), 90-day (adjusted HR = 2.54, 95% CI 1.55-4.16) and end of follow-up (adjusted HR = 1.97, 95% CI 1.36-2.84) mortality rates were significantly higher in patients with recurrent AKI, independently of sex, age, mechanical ventilation necessity, APACHE score, baseline estimated glomerular filtration rate, complete recovery and KDIGO stage. CONCLUSIONS: AKI recurred in about 20% of ICU patients after a first episode of sepsis-related AKI. This recurrence increases the mortality rate independently of sepsis severity and of the KDIGO stage of the initial AKI episode. ICU physicians must be aware of the risks related to AKI recurrence while multiple episodes of AKI should be highlighted in electronic medical records and included in the variables of clinical risk scores.

Síndrome de Austrian por Staphylococcus aureus en una paciente sin factores de riesgo / Austrian syndrome by Staphylococcus aureus in a patient without risk factors

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