Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study.

OBJECTIVE: To describe the results of the application of a Machine Learning (ML) model to predict in-hospital cardiac arrests (ICA) 24 hours in advance in the hospital wards. DESIGN: Retrospective observational cohort study. SETTING: Hospital Wards. PATIENTS: Data were extracted from the hospital's Electronic Health Record (EHR). The resulting database contained a total of 750 records corresponding to 620 different patients (370 patients with ICA and 250 control), between may 2009 and december 2021. INTERVENTIONS: No. MAIN VARIABLES OF INTEREST: As predictors of ICA, a set of 28 variables including personal history, vital signs and laboratory data was employed. MODELS: For the early prediction of ICA, predictive models based on the following ML algorithms and using the mentioned variables, were developed and compared: K Nearest Neighbours, Support Vector Machine, Multilayer Perceptron, Random Forest, Gradient Boosting and Custom Ensemble of Gradient Boosting estimators (CEGB). EXPERIMENTS: Model training and evaluation was carried out using cross validation. Among metrics of performance, accuracy, specificity, sensitivity and AUC were estimated. RESULTS: The best performance was provided by the CEGB model, which obtained an AUC = 0.90, a specificity = 0.84 and a sensitivity = 0.81. The main variables with influence to predict ICA were level of consciousness, haemoglobin, glucose, urea, blood pressure, heart rate, creatinine, age and hypertension, among others. CONCLUSIONS: The use of ML models could be of great support in the early detection of ICA, as the case of the CEGB model endorsed, which enabled good predictions of ICA.

A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patients.

Objective: To determine if the use of corticosteroids was associated with Intensive Care Unit (ICU) mortality among whole population and pre-specified clinical phenotypes. Design: A secondary analysis derived from multicenter, observational study. Setting: Critical Care Units. Patients: Adult critically ill patients with confirmed COVID-19 disease admitted to 63 ICUs in Spain. Interventions: Corticosteroids vs. no corticosteroids. Main variables of interest: Three phenotypes were derived by non-supervised clustering analysis from whole population and classified as (A: severe, B: critical and C: life-threatening). We performed a multivariate analysis after propensity optimal full matching (PS) for whole population and weighted Cox regression (HR) and Fine-Gray analysis (sHR) to assess the impact of corticosteroids on ICU mortality according to the whole population and distinctive patient clinical phenotypes. Results: A total of 2017 patients were analyzed, 1171 (58%) with corticosteroids. After PS, corticosteroids were shown not to be associated with ICU mortality (OR: 1.0; 95% CI: 0.98-1.15). Corticosteroids were administered in 298/537 (55.5%) patients of "A" phenotype and their use was not associated with ICU mortality (HR = 0.85 [0.55-1.33]). A total of 338/623 (54.2%) patients in "B" phenotype received corticosteroids. No effect of corticosteroids on ICU mortality was observed when HR was performed (0.72 [0.49-1.05]). Finally, 535/857 (62.4%) patients in "C" phenotype received corticosteroids. In this phenotype HR (0.75 [0.58-0.98]) and sHR (0.79 [0.63-0.98]) suggest a protective effect of corticosteroids on ICU mortality. Conclusion: Our finding warns against the widespread use of corticosteroids in all critically ill patients with COVID-19 at moderate dose. Only patients with the highest inflammatory levels could benefit from steroid treatment.

Objetivo: Evaluar si el uso de corticoesteroides (CC) se asocia con la mortalidad en la unidad de cuidados intensivos (UCI) en la población global y dentro de los fenotipos clínicos predeterminados. Diseño: Análisis secundario de estudio multicéntrico observacional. Ámbito: UCI. Pacientes: Pacientes adultos con COVID-19 confirmado ingresados en 63 UCI de España. Intervención: Corticoides vs. no corticoides. Variables de interés principales: A partir del análisis no supervisado de grupos, 3 fenotipos clínicos fueron derivados y clasificados como: A grave, B crítico y C potencialmente mortal. Se efectuó un análisis multivariado después de un propensity optimal full matching (PS) y una regresión ponderada de Cox (HR) y análisis de Fine-Gray (sHR) para evaluar el impacto del tratamiento con CC sobre la mortalidad en la población general y en cada fenotipo clínico. Resultados: Un total de 2.017 pacientes fueron analizados, 1.171 (58%) con CC. Después del PS, el uso de CC no se relacionó significativamente con la mortalidad en UCI (OR: 1,0; IC 95%: 0,98-1,15). Los CC fueron administrados en 298/537 (55,5%) pacientes del fenotipo A y no se observó asociación significativa con la mortalidad (HR = 0,85; 0,55-1,33). Un total de 338/623 (54,2%) pacientes del fenotipo B recibieron CC sin efecto significativo sobre la mortalidad (HR = 0,72; 0,49-1,05). Por último, 535/857 (62,4%) pacientes del fenotipo C recibieron CC. En este fenotipo, se evidenció un efecto protector de los CC sobre la mortalidad HR (0,75; 0,58-0,98). Conclusión: Nuestros hallazgos alertan sobre el uso indiscriminado de CC a dosis moderadas en todos los pacientes críticos con COVID-19. Solamente pacientes con elevado estado de inflamación podrían beneficiarse con el tratamiento con CC.

A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patients.

OBJECTIVE: To determine if the use of corticosteroids was associated with Intensive Care Unit (ICU) mortality among whole population and pre-specified clinical phenotypes. DESIGN: A secondary analysis derived from multicenter, observational study. SETTING: Critical Care Units. PATIENTS: Adult critically ill patients with confirmed COVID-19 disease admitted to 63 ICUs in Spain. INTERVENTIONS: Corticosteroids vs. no corticosteroids. MAIN VARIABLES OF INTEREST: Three phenotypes were derived by non-supervised clustering analysis from whole population and classified as (A: severe, B: critical and C: life-threatening). We performed a multivariate analysis after propensity optimal full matching (PS) for whole population and weighted Cox regression (HR) and Fine-Gray analysis (sHR) to assess the impact of corticosteroids on ICU mortality according to the whole population and distinctive patient clinical phenotypes. RESULTS: A total of 2017 patients were analyzed, 1171 (58%) with corticosteroids. After PS, corticosteroids were shown not to be associated with ICU mortality (OR: 1.0; 95% CI: 0.98-1.15). Corticosteroids were administered in 298/537 (55.5%) patients of "A" phenotype and their use was not associated with ICU mortality (HR=0.85 [0.55-1.33]). A total of 338/623 (54.2%) patients in "B" phenotype received corticosteroids. No effect of corticosteroids on ICU mortality was observed when HR was performed (0.72 [0.49-1.05]). Finally, 535/857 (62.4%) patients in "C" phenotype received corticosteroids. In this phenotype HR (0.75 [0.58-0.98]) and sHR (0.79 [0.63-0.98]) suggest a protective effect of corticosteroids on ICU mortality. CONCLUSION: Our finding warns against the widespread use of corticosteroids in all critically ill patients with COVID-19 at moderate dose. Only patients with the highest inflammatory levels could benefit from steroid treatment.

[Epidemiological characteristics of out-of-hospital cardiorespiratory arrest recorded by the 061 emergencies system (SAMU) in the Balearic Islands (Spain), 2009-2012]. / Características epidemiológicas de las paradas cardiorrespiratorias extrahospitalarias registradas por el sistema de emergencias 061 (SAMU) de la Comunidad Autónoma de las Islas Baleares (2009-2012).

OBJECTIVE: To describe the epidemiology of out-of-hospital cardiorespiratory arrest (OHCA) and identify factors associated with recovery of spontaneous circulation (ROSC). DESIGN: Observational study of OHCA registered on a continuous basis in the Emergency Medical Services (EMS) database during 2009-2012. SETTING: The islands of Mallorca, Ibiza, Menorca and Formentera (Balearic Islands, Spain). PATIENTS: OHCA in patients ≥ 18 years of age. The main variables were: Patient sex, age, probable cause, place of arrest, bystander, witnessed, basic life support (BLS), shockable rhythm, intervention time, semi-automatic defibrillator (AED), duration of cardiopulmonary arrest (CA), and ROSC. Independent variables were defined according to the Utstein protocol, and the dependent variable was defined as ROSC. RESULTS: The EMS treated 1170 OHCAs (28/100,000 persons-year). We included 1130 CA. The mean age was 61.4 years (73.4% males). Most CA (72.3%) were of cardiac etiology, and 84.7% were witnessed. A total of 840 (74.3%) received BLS and 400 (47.6%) did so before arrival of the EMS (45 by bystander relatives). AED was available in 330 cases CA (29.2%) (96 with shockable rhythm). The interval between emergency call and BLS and between emergency call and advanced life support was 8.4 and 15.8min, respectively. Shockable rhythm was monitored in 257 CAs (22.7%). ROSC occurred in 261 (23.1%). Factors associated with ROSC were age, shockable rhythm, BLS before EMS arrival, and CA duration less than 30min. CONCLUSION: The incidence rate of the OHCA is low. The proportion of patients receiving BLS from relatives was low. Age, shockable rhythm and BSL before EMS arrival were associated with ROSC.

Application of Medical Information Systems for the detection of high risk patients: rapid care alerts. Pilot study of the ARA-Son Llàtzer Project.

OBJECTIVE: To describe the implementation of a Medical Information System (MIS) in the Critical Care Departament (CCD). DESIGN: A prospective observational cohort study was carried out. SETTING: Clinical and Surgical wards in Son Llàtzer Hospital. PATIENTS: Patients with criteria of rapid care alert (RCA) without treatment, cardiac arrest (CA), and unexpected ward deaths (UWD), during 2010. MAIN VARIABLES: Age, sex, nursing shift, nursing alert, vital signs, unplanned admission to intensive care, CA, UWD and death. RESULTS: The MIS detected 9647 episodes with RCA signs in 4020 patients (26.4 episodes/day). A total of 8547 episodes were reviewed. Sixty-five patients required rapid response by the intensive care staff; 61.5% were detected in the afternoon shift (15:00 a 22:00), and 61.5% were admitted to the CCD. Diminished consciousness (DC) and respiratory failure were the most frequent problems. The sepsis rate was 23%. We reviewed 45 CA and 35 UWD. Of the total cases of CA, 33 patients died (73.3%) and 66.7% had criteria of untreated RCA. Monitoring (P<.05) and rhythms amenable to defibrillation (P<.002) were associated to survival. As regards the UWD, 75% had criteria of untreated RCA, and 40.6% presented diminished consciousness. In the last 6 months there was a significant reduction in UWD (P=.01) CONCLUSIONS: The MIS could be a complimentary tool in the activity of the CCD to improve the prognosis of hospitalized patients.

[Mixed cryoglobulinemia secondary to Mediterranean boutonneuse fever]. / Crioglobulinemia mixta secundaria a fiebre botonosa mediterránea.

A clinical case of Mediterranean Boutonneuse Fever (MBF) with circulating cryoglobulins during the acute phase, with no clinical symptoms is described and considered an epiphenomenon of the infection. The possible relationship between the infection and the cryoglobulinemia are discussed. The patient is also added to the increasing list of patients reported of Boutonneuse Fever in the Mediterranean area during the observation period.