[Predictive validity of Clinical Risk Groups in chronic patients in primary healthcare]. / Validez predictiva del Clinical Risk Groups en pacientes crónicos en el ambito de la atencion primaria.

OBJECTIVE: To analyse a prediction model for admissions and hospital emergencies based on Clinical Risk Groups, in a population of complex chronic patients demanding primary care. DESIGN: A multicentric retrospective observational study, of a cohort of chronic patients with comorbidity, from January until December 2013. PLACE: The study population was assigned to the Santa Pola and Raval health centres from the Health Department of Elche. PARTICIPANTS: Cohort of chronic patients with comorbidity, from January to December 2013. INTERVENTIONS: Data about the number of admissions, reasons and complexity level associated with the admission were collected by the review of medical records. MAIN MEASURES: To determine the level of complexity, the classification included in the chronicity strategy of the Valencian Community based on Clinical Risk Groups was used. RESULTS: Five hundred and four patients were recruited with a high complexity degree (N3) and 272 with moderate/low complexity (N1-N2). A higher comorbidity was observed in N3 patients with high complexity [Charlson 2.9 (DE 1.8) vs. 1.9 (DE 1.3); P<.001], and higher dependence degree for basic diary activities [Barthel 16.1 (n=81) vs. 7.3 (n=20); P<.001]. Association between the number of admissions [0.4 (DE 0.8) vs. 0.1 (DE 0.5); P<.001] and emergency visits [0.8 (DE 1.5) vs. 0.3 (DE 0.8), P<.001] was significatively higher in patients from N3 group than N1-N2 groups. CONCLUSIONS: The predictive capacity of CRG grouper showed high sensibility for the patient classification with a high degree of complexity. Its specificity and positive predictive value were lower for the association of the N3 complexity stratum.

An Implementation Study of Relationship Checkups as Home Visitations for Low-Income At-Risk Couples.

Couples with the greatest need for relationship health maintenance and intervention are often least able to afford and access it; therefore, accessible, affordable, effective, and brief interventions are needed to improve relationship health for those who need it most. Consequently, this paper examined whether a brief relationship intervention could be effectively implemented with a low-income, underserved population. All enrolled participants (N = 1,312) received the Relationship Checkup, which consists of an assessment and a feedback session delivered in their homes or at a local clinic at their request. Measures assessed relationship satisfaction, communication, psychological and physical aggression, and intimacy at baseline and 1-month follow-up, and program and relationship satisfaction at 6-month follow-up. All participants reported significant improvements on all outcomes with small effect sizes. However, moderation analyses suggested that distressed couples reported significantly larger effects across the board. Overall, participants reported that they were highly satisfied with the intervention both immediately after its delivery and 6 months later. Findings provide preliminary support for the effectiveness of this brief checkup and point to the utility of offering these kinds of low-cost brief interventions in flexible formats for those who might have the most difficulty accessing them.

Las parejas más necesitadas de mantenimiento e intervención para la salud de sus relaciones son con frecuencia las menos equipadas para costear y obtenerlos; por lo tanto, las intervenciones accesibles, asequibles, efectivas y breves son necesarias para mejorar la salud de las relaciones de aquéllos que más lo necesitan. Por consiguiente, este artículo examinó si sería posible implementar una intervención breve para relaciones con una población subatendida de bajo ingreso. Todos los participantes inscritos (N = 1312) recibieron un Control de Relación, que consiste en una evaluación y una sesión de comentarios realizadas en sus hogares o en una clínica local a petición de ellos. Las medidas evaluaron la satisfacción en la relación, comunicación, agresión psicológica y física, e intimidad en la línea de base y en un seguimiento después de un mes, así como satisfacción con el programa y con la relación en un seguimiento después de seis meses. Todos los participantes informaron mejoras sustanciales en todos los resultados con tamaños de efecto pequeños. Sin embargo, análisis de moderación sugirieron que las parejas angustiadas informaron efectos considerablemente mayores en todos los renglones. En general, los participantes informaron que estaban sumamente satisfechos con la intervención tanto inmediatamente después de realizarse como seis meses después. Los hallazgos proporcionan apoyo preliminar a la efectividad de este control breve y señalan la utilidad de ofrecer estos tipos de intervenciones breves de bajo costo en formatos flexibles para aquéllos que podrían tener mayores dificultades para obtenerlos.

[GeSIDA quality care indicators associated with mortality and hospital admission for the care of persons infected by HIV/AIDS]. / Indicadores de calidad asistencial de GeSIDA para la atención de personas infectadas por el VIH/sida asociados a mortalidad e ingreso hospitalario.

INTRODUCTION: In 2010, the AIDS Study Group (Grupo de Estudio del SIDA [GESIDA]) developed 66 quality care indicators. The aim of this study is to determine which of these indicators are associated with mortality and hospital admission, and to perform a preliminary assessment of a prediction rule for mortality and hospital admission in patients on treatment and follow-up. METHODS: A retrospective cohort study was conducted in the Hospital Universitario Son Espases (Palma de Mallorca, Spain). Eligible participants were patients with human immunodeficiency syndrome≥18 years old who began follow-up in the Infectious Disease Section between 1 January 2000 and 31 December 2012. A descriptive analysis was performed to evaluate anthropometric variables, and a logistic regression analysis to assess the association between GESIDA indicators and mortality/admission. The mortality probability model was built using logistic regression. RESULTS: A total of 1,944 adults were eligible (median age: 37 years old, 78.8% male). In the multivariate analysis, the quality of care indicators associated with mortality in the follow-up patient group were the items 7, 16 and 20, and in the group of patients on treatment were 7, 16, 20, 35, and 38. The quality of care indicators associated with hospital admissions in the follow-up patients group were the same as those in the mortality analysis, plus number 31. In the treatment group the associated quality of care indicators were items 7, 16, 20, 35, 38, and 40. CONCLUSIONS: Some GeSIDA quality of care indicators were associated with mortality and/or hospital admissions. These indicators are associated with delayed diagnosis, regular monitoring, prevention of infections, and control of comorbidities.

A stroke care management system prevents outcome differences related to time of stroke unit admission.

INTRODUCTION: Evidence supports that admitting patients with stroke during different hospital work periods is related to distinct outcomes. We aimed to analyse outcomes in patients according to the period and time of admission to the stroke unit. METHODS: Retrospective study. For purposes of data analysis, patients were grouped according to the following time periods: a) day of the week, b) period of the year, c) shift. We analysed demographic characteristics, stroke type and severity, and the percentage undergoing thrombolysis in each group. The measures used to evaluate early outcomes were the National Institutes of Health Stroke Scale (NIHSS), neurological complications (NC), and in-hospital mortality. Functional outcome at 3 months was determined using the modified Rankin scale. RESULTS: The stroke unit admitted 1250 patients. We found NC to be slightly more frequent for weekend admissions than for weekday admissions, but this trend does not seem to have influenced in-hospital mortality. Regarding functional outcome at 3 months, 67.0% of weekday vs. 60.7% of weekend admissions were independent (P=.096), as were 65.5% of patients admitted during the academic months vs. 63.5% of those admitted during summer holidays (P=.803). We identified no significant differences in 3-month mortality linked to the day or period of admission; however, for the variable 'shift', 13.2% of the patients died during the morning shift, 11.5% during the afternoon shift, and 6.0% during the night shift (P=.017). We identified a trend toward higher rates of thrombolysis administration on weekdays, during the morning shift, and during the academic months. CONCLUSIONS: Time of admission to the stroke unit did not affect early outcomes or functional independence at 3 months.

Effect upon mortality of the extension to holidays and weekends of the "ICU without walls" project. A before-after study. / Efecto sobre la mortalidad de la ampliación a los festivos y fines de semana del proyecto «UCI sin paredes¼. Estudio before-after.

OBJECTIVE: To determine whether extension to holidays and weekends of the protocol for the early proactive detection of severity in hospital ("ICU without walls" project) results in decreased mortality among patients admitted to the ICU during those days. DESIGN: A quasi-experimental before-after study was carried out. SETTING: A level 2 hospital with 210 beds and a polyvalent ICU with 8 beds. PATIENTS OR PARTICIPANTS: The control group involved no "ICU without walls" activity on holidays or weekends and included those patients admitted to the ICU on those days between 1 January 2010 and 30 April 2013. The intervention group in turn extended the "ICU without walls" activity to holidays and weekends, and included those patients admitted on those days between 1 May 2013 and 31 October 2014. Patients arriving from the operating room after scheduled surgery were excluded. VARIABLES OF INTEREST: An analysis was made of the demographic variables (age, gender), origin (emergency room, hospital ward, operating room), type of patient (medical, surgical), reason for admission, comorbidities and SAPS 3 score as a measure of severity upon admission, stay in the ICU and in hospital, and mortality in the ICU and in hospital. RESULTS: A total of 389 and 161 patients were included in the control group and intervention group, respectively. There were no differences between the 2 groups except as regards cardiovascular comorbidity (49% in the control group versus 33% in the intervention group; P<.001), severity upon admission (median SAPS 3 score 52 [percentiles 25-75: 42-63) in the control group versus 48 [percentiles 25-75: 40-56] in the intervention group; P=.008) and mortality in the ICU (11% in the control group [95% CI 8-14] versus 3% [95% CI 1-7] in the intervention group; P=.003). In the multivariate analysis, the only 2 factors associated to mortality in the ICU were the SAPS 3 score (OR 1.08; 95% CI 1.06-1.11) and inclusion in the intervention group (OR 0.33; 95% CI 0.12-0.89). CONCLUSIONS: Extension of the "ICU without walls" activity to holidays and weekends results in a decrease in mortality in the ICU.

Effect of the timing of admission upon patient prognosis in the Intensive Care Unit: On-hours versus off-hours.

OBJECTIVE: To assess the repercussion of the timing of admission to the ICU upon patient prognosis. DESIGN: A prospective, observational, non-interventional cohort study was carried out. SCOPE: A second level hospital with 210 operational beds and a general ICU with 8 operational beds. PATIENTS OR PARTICIPANTS: The study comprised all patients admitted to the ICU during 3 years (January 2010 to December 2012), excluding those subjects admitted from the operating room after scheduled surgery. The patients were divided into 2 groups according to the timing of admission (on-hours or off-hours). INTERVENTIONS: Non-interventional study. VARIABLES OF INTEREST: An analysis was made of demographic variables (age, sex), origin (emergency room, hospital ward, operating room), comorbidities and SAPS 3 as severity score upon admission, length of stay in the ICU and hospital ward, and ICU and hospital mortality. RESULTS: A total of 504 patients were included in the on-hours group, versus 602 in the off-hours group. Multivariate analysis showed the factors independently associated to hospital mortality to be SAPS 3 (OR 1.10; 95% CI 1.08-1.12), and off-hours admission (OR 2.00; 95% CI 1.20-3.33). In a subgroup analysis of the off-hours group, the admission of patients on weekends or non-working days compared to daily night shifts was found to be independently associated to hospital mortality (OR 2.30; 95% CI 1.23-4.30). CONCLUSIONS: Admission to the ICU in off-hours is independently associated to patient mortality, which is also higher in patients admitted on weekends and non-working days compared to the daily night shifts.

Risk factors for unplanned admission after ambulatory laparoscopic cholecystectomy.

INTRODUCTION: Laparoscopic cholecystectomy (LC) performed as day-case (DC) surgery has more unexpected admissions than most day-case procedures. We revised the literature about factors associated with unexpected admissions in LC as well as reconversion to open laparotomy and we investigate these factors in our series. METHODS: Retrospective cohort study, period 1999-2013 (511 cases). We study factors that in the literature have been associated with unpredicted admissions in DC or reconversion. RESULTS: In the period 1999-2013 511 patients were included (166 male/345 female), median age 53 years. Surgical indication was: Symptomatic cholelithiasis (386 cases), previous episode of cholecystitis (52 cases), biliary pancreatitis (47 cases) and ERCP for common duct stones (11 cases). 70% were discharged on the same day, 13% overnight and 17% stayed longer than 24 hours. Reconversion rate was 3.3%, readmission rate 2.8% and reoperation rate 1.2%. Bivariant study showed significant statistical association with age 65 or, ASA classification II or higher, previous admission for acute cholecystitis and logistic regression showed them to be significantly associated with readmission (sensibility: 10.6%, specificity: 98.6%, R2 coefficient: 0.046-0.066). CONCLUSIONS: The model's predictive capacity is null. We think that factors other than indications are responsible for the high proportion of failure showed by LC in DC.

Preliminary results of the implementation of robotic radical prostatectomy in a major ambulatory surgery regimen.

OBJECTIVE: To report our initial experience with robotic radical prostatectomy as an outpatient procedure. MATERIAL AND METHODS: Retrospective analysis of patients who underwent RRP as MAS (Major Ambulatory Surgery) at our center between March 2021 and May 2022. We collected baseline patient characteristics, intraoperative outcomes and postoperative data (need for unplanned medical care and complications at one month after surgery). Oncologic characteristics at disease diagnosis (PSA, staging, ISUP, MRI) and postoperative pathologic outcomes were collected. RESULTS: We identified a total of 35 patients with an average age of 60,8 ± 6,88 years and a BMI of 27 ± 2,9 Kg/m2. All patients had a low anesthetic risk and 25.71% had undergone previous abdominal surgery. The surgical time was 151,66 ± 42,15 min and the average blood loss was 301,2 ± 184,38 mL. Two patients (5.7%) were admitted for one night and 7 patients (20%) consulted the emergency department in the following month, of which 3 (8.57%) were readmitted. We recorded one intraoperative complication, seven mild postoperative complications (Clavien I-II) and one severe complication (Clavien IIIb). The severe complication occurred on the eighth postoperative day and was not related to the procedure being ambulatory. CONCLUSION: The absence of serious complications in the immediate postoperative period supports RRP in MAS as a safe technique for selected patients.

Initial results of the implementation of an ambulatory mini percutaneous nephrolithotomy program.

OBJECTIVE: To present our program for ambulatory mini percutaneous nephrolithotomy (mini-PCNL) and evaluate its initial results. MATERIAL AND METHODS: We analyzed the implementation of the protocol into the clinical practice with the first 30 outpatient mini-PCNL cases performed in our center between April 2021 and September 2022. Demographic characteristics, perioperative variables, complications and need for unplanned health care, stone-free rate (SFR), stone type and patient satisfaction with the major ambulatory surgery (MAS) process were collected. RESULTS: A total of 30 patients with a mean age of 60.2 ±â€¯11.6 years who met the inclusion criteria underwent surgery. The mean stone size was 15 mm [range: 5-20]. No intraoperative complications were recorded. All patients except one were discharged the same day of surgery as planned. In the month following discharge, the rate of complications, emergency department (ED) revisits or hospital readmissions rates were 0%. Stone-free-rate (SFR) at 3 months was 83%. Overall satisfaction with the whole perioperative process was assessed with the EVAN-G questionnaire, obtaining 124.3 points out of a maximum of 150, which is equivalent to a 78.6% level of satisfaction. CONCLUSION: Ambulatory mini-PCNL can be implemented as a treatment option in centers with experience in endourology, an established MAS Unit, and strictly selected patients. Our initial results show an adequate safety profile and high overall satisfaction perceived by patients undergoing the ambulatory approach.

[Utility and safety of direct admission to acute geriatric unit after Nursing Home Geriatric Team assessment]. / Utilidad y seguridad de los ingresos directos a una unidad hospitalaria de agudos de un servicio de geriatría valorados por atención geriátrica en residencias.

BACKGROUND AND OBJECTIVE: More than half of institutionalized older people need a emergency department visit annually, with high resources consumption and higher risk of adverse events, due to high complexity. Direct admission to Acute Geriatric Unit (AGU), after geriatric consultant and nursing home medical team assessment, could be a safety and effective alternative to emergency department (ED) admission. METHODS: Retrospective observational study of AGU patients admitted by Nursing Home Geriatric Team between January, 1st and December, 31st, 2021. Planned admissions and SARS-CoV-2 positive patients were excluded. Medical (sociodemographic, clinical, functional and cognitive) records and outcomes data (inpatient mortality, hospital and ED lenght of stay, transfer to ED and delirium within 48h after admission, hospital discharge location) were collected. RESULTS: Two hundred and six patients directly admitted, 101 through ED (N 307). 62.5% with Barthel index <40, 65% with dementia, 56.4% with Charlson index ≥3. Inpatient mortality was 14.6% in direct admission, 20.8% in ED referral group, p=0.14. Hospital lenght of stay was 9.61±6.01 days in direct admission, 11.22±5.36 days in ED group, p=0.02. 27.7% of patients with delirium in direct admission and 36.6% in ED group; only one patient was transferred to ED, within 48h after admission. CONCLUSIONS: Direct admission is a safety and effective alternative to ED referral in institutionalized older people after geriatric assessment, due to no increased mortality, shorter length of stay and hospital cost reduction.

Assessment of clinical and hemodynamic congestion as predictors of mortality in elderly outpatients with heart failure.

INTRODUCTION: This work aims to evaluate whether a clinical examination and measurement of N-terminal pro-brain natriuretic peptide can predict poor prognosis in outpatients with heart failure. PATIENTS AND METHODS: We carried out a retrospective study from 2010 to 2018 in 238 patients diagnosed with heart failure. At baseline, we evaluated the presence of pulmonary rales and bilateral leg edema (clinical congestion) together with N-terminal pro-brain natriuretic peptide ≥ 1500 pg/mL (hemodynamic congestion). Patients were classified into 4 groups depending on their congestion pattern: no congestion (G1) (n = 50); clinical congestion (G2) (n = 43); hemodynamic congestion (G3) (n = 73); and clinical and hemodynamic congestion (G4) (n = 72). The primary outcome was all-cause mortality at one year of follow-up. RESULTS: A total of 238 patients were included. The mean age was 82 years, 61.8% were women, and 20.7% had reduced left ventricular ejection fraction. Thirty patients died in the first year of follow-up (12.6%). After controlling for confounding variables (sex, recent discharge for heart failure, estimated glomerular filtration rate, and left ventricular ejection fraction), the independent risk of death in each group compared to G1 as the reference group was: G2: HR 4.121 (95%CI 1.131-15.019); G3: HR 2.511 (95%CI 1.007-6.263); and G4: HR 7.418 (95%CI 1.630-33.763). CONCLUSION: Congestion in outpatients with heart failure correlates with prognosis. Patients with both clinical and hemodynamic congestion had the highest risk of all-cause death at one year.

Model to predict risk for hospital admission and indicate the safety of reverse triage in a hospital emergency department: a prospective validation study. / Validación prospectiva de un modelo predictivo de ingreso y orientar la seguridad de la derivación inversa desde el triaje de los servicios de urgencias hospitalarios.

OBJECTIVES: To prospectively validate a model to predict hospital admission of patients given a low-priority classification on emergency department triage and to indicate the safety of reverse triage. MATERIAL AND METHODS: Single-center observational study of a prospective cohort to validate a risk model incorporating demographic and emergency care process variables as well as vital signs. The cohort included emergency visits from patients over the age of 15 years with priority level classifications of IV and V according to the Andorran-Spanish triage system (Spanish acronym, MAT-SET) between October 2018 and June 2019. The area under the receiver operating characteristic curve (AUC) of the model was calculated to evaluate discrimination. Based on the model, we identified cut-off points to distinguish patients with low, intermediate, or high risk for hospital admission. RESULTS: A total of 2110 emergencies were included in the validation cohort; 109 patients (5.2%) were hospitalized. The median age was 43.5 years (interquartile range, 31-60.3 years); 55.5% were female. The AUC was 0.71 (95% CI, 0.64-0.75). The model identified 357 patients (16.9%) at low risk of hospitalization and 240 (11.4%) at high risk. A total of 15.8% of the high-risk patients and 2.8% of the low-risk patients were hospitalized. CONCLUSION: The validated model is able to identify risk for hospitalization among patients classified as low priority on triage. Patients identified as having high risk of hospitalization could be offered preferential treatment within the same level of priority at triage, while those at low risk of admission could be referred to a more appropriate care level on reverse triage.

OBJETIVO: Validar prospectivamente un modelo predictivo de ingreso hospitalario para los pacientes atendidos en el servicio de urgencias hospitalario (SUH) con baja prioridad de visita y determinar la capacidad predictiva del modelo para realizar con seguridad la derivación inversa. METODO: Estudio observacional unicéntrico de una cohorte prospectiva de validación de un modelo predictivo basado en variables demográficas, de proceso y las constantes vitales (modelo 3). Se incluyeron los episodios de pacientes >15 años con prioridades IV y V MAT-SET atendidos entre octubre 2018 y junio 2019. Se evaluó la discriminación mediante el área bajo la curva de la característica operativa del receptor (ABC). Para determinar la capacidad de discriminación se crearon 3 categorías de riesgo: bajo, intermedio y alto. RESULTADOS: Se incluyeron 2.110 episodios, de los cuales 109 (5,2%) ingresaron. La mediana de edad fue de 43,5 años (RIC 31-60,3) con un 55,5% de mujeres. El ABC fue de 0,71 (IC 95%: 0,64-0,75). Según el modelo predictivo, 357 episodios (16,9%) puntuaron de bajo riesgo de ingreso y 240 (11,4%) de alto riesgo. El porcentaje de ingreso observado de los pacientes clasificados de alto riesgo fue de 15,8% mientras que el de los pacientes de bajo riego fue de 2,8%. CONCLUSIONES: El modelo predictivo validado permite estratificar el riesgo de ingreso de los pacientes con baja prioridad de visita. Los pacientes con alto riesgo de ingreso se les podría ofrecer una atención preferente dentro del mismo nivel de prioridad, mientras que los de bajo riesgo podrían ser redirigidos al recurso asistencial más adecuado (derivación inversa).

[Prognostic implications of hypo and hyperkalaemia in acute heart failure with reduced ejection fraction. Analysis of cardiovascular mortality and hospital readmissions]. / Implicaciones pronósticas de la hipo e hiperpotasemia en la insuficiencia cardíaca aguda con fracción de eyección reducida. Análisis de la mortalidad cardiovascular y reingresos hospitalarios.

BACKGROUND AND OBJECTIVES: Potassium alterations constitute a major clinical problem in decompensated heart failure (HF). This study aims to assess the prognostic implications of hypo and hyperkalaemia on admission for acute HF in cardiovascular mortality and hospital readmissions. MATERIAL AND METHOD: From January 2016 to June 2020, 1,397 cases with a diagnosis of acute HF were admitted. Admission programmed for study, elective therapies, and patients with LVEF> 40% were excluded. The study was carried out on 689 patients, 45 with K+ <3.5 mmol/L, 49K +>5.0 mmol/L and 595K+3.5-5.0 mmol/L. Medical history, baseline clinical profile, drug therapy, and potassium levels obtained upon admission were analysed. RESULTS: Annual mortality due to hypokalaemia (K+<3.5mmol/L) was 37.8% (HR 2.4; 95% CI: 1.3-4.7; P<.007); for hyperkalaemia 40.8% (HR: 1.9; 95% CI: 0.98-3.51; P<.055). Creatinine level and age were variables associated with mortality in both the hyperkalaemic and hypokalaemic cohorts. Hospital readmissions did not show statistical association with these electrolyte disorders. CONCLUSIONS: In patients admitted for decompensated HF, both hyperkalaemia and hypokalaemia determined at admission have a negative prognostic impact on survival. Creatinine and age are other independent factors associated with mortality. The effect on the probability of hospital readmission at one year is not demonstrated in this study.

[Influence of medical outliers in patients with femoral neck fracture]. / Influencia del ingreso hospitalario ectópico en pacientes con fractura del cuello femoral.

OBJECTIVES: The objective is to describe and analyze how outlier admission influences hospital stay and the appearance of complications in patients with a femoral neck fracture treated with arthroplasty. MATERIAL AND METHOD: A historical cohort study was carried out in which the group of patients with a displaced fracture of the femoral neck who had an outlier admission was defined as an exposed cohort, that is, they were admitted to a hospitalization area not belonging to the Orthopedic Surgery and Traumatology department, unlike the unexposed cohort, that included patients admitted to a hospitalization area assigned to the Orthopedic Surgery and Traumatology department. RESULTS: Outlier admission was a risk factor for requiring a postoperative transfusion (RR 1.52, 95% CI 1.05-2.21; P=.035), to have a postoperative stay longer than 5 days (RR 1.35, 95% CI 1.04-1.74; P=.038) and to suffer general postoperative complications (RR 1.35, 95% CI 1.02-1.78; P=.048). CONCLUSIONS: Outlier admission is a threat to the quality and safety of health care. In patients over 80 years of age, medical outliers is a risk factor for postoperative transfusion and systemic postoperative complications.

ADENI-UCI study: Analysis of non-income decisions in ICU as a measure of limitation of life support treatments.

OBJECTIVE: To analyze the variables associated with ICU refusal decisions as a life support treatment limitation measure. DESIGN: Prospective, multicentrico. SCOPE: 62 ICU from Spain between February 2018 and March 2019. PATIENTS: Over 18 years of age who were denied entry into ICU as a life support treatment limitation measure. INTERVENTIONS: None. MAIN INTEREST VARIABLES: Patient comorities, functional situation as measured by the KNAUS and Karnosfky scale; predicted scales of Lee and Charlson; severity of the sick person measured by the APACHE II and SOFA scales, which justifies the decision-making, a person to whom the information is transmitted; date of discharge or in-hospital death, destination for hospital discharge. RESULTS: A total of 2312 non-income decisions were recorded as an LTSV measure of which 2284 were analyzed. The main reason for consultation was respiratory failure (1080 [47.29%]). The poor estimated quality of life of the sick (1417 [62.04%]), the presence of a severe chronic disease (1367 [59.85%]) and the prior functional limitation of patients (1270 [55.60%]) were the main reasons for denying admission. The in-hospital mortality rate was 60.33%. The futility of treatment was found as a risk factor associated with mortality (OR: 3.23; IC95%: 2.62-3.99). CONCLUSIONS: Decisions to limit ICU entry as an LTSV measure are based on the same reasons as decisions made within the ICU. The futility valued by the intensivist is adequately related to the final result of death.

Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data.

BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients admitted to hospital in a multicenter international registry (HOPE COVID-19). Our primary objective is to define those characteristics that allow us to identify cancer patients with a worse prognosis (mortality within 30 days after the diagnosis of COVID-19). RESULTS: 5838 patients have been collected in this registry, of whom 770 had cancer among their antecedents. In hospital mortality reached 258 patients (33.51%). The median was 75 years (65-82). Regarding the distribution by sex, 34.55% of the patients (266/770) were women. The distribution by type of cancer: genitourinary 238/745 (31.95%), digestive 124/745 (16.54%), hematologic 95/745 (12.75%). In multivariate regression analysis, factors that are independently associated with mortality at admission are: renal impairment (OR 3.45, CI 97.5% 1.85-6.58), heart disease (2.32, 1.47-3.66), liver disease (4.69, 1.94-11.62), partial dependence (2.41, 1.34-4.33), total dependence (7.21, 2.60-21.82), fatigue (1.84, 1.16-2.93), arthromialgias (0.45, 0.26-0.78), SatO2<92% (4.58, 2.97-7.17), elevated LDH (2.61, 1.51-4.69) and abnormal decreased Blood Pressure (3.57, 1.81-7.15). Analitical parameters are also significant altered. CONCLUSION: In patients with cancer from the HOPE registry, 30-day mortality from any cause is high and is associated with easily identifiable clinical factors upon arrival at the hospital. Identifying these patients can help initiate more intensive treatments from the start and evaluate the prognosis of these patients.

Validation of the Predisposition Infection Response Organ (PIRO) dysfunction score for the prognostic stratification of patients with sepsis in the Emergency Department.

OBJECTIVE: There are many different methods for computing the Predisposition Infection Response Organ (PIRO) dysfunction score. We compared three PIRO methods (PIRO1 (Howell), PIRO2 (Rubulotta) and PIRO3 (Rathour)) for the stratification of mortality and high level of care admission in septic patients arriving at the Emergency Department (ED) of an Italian Hospital. DESIGN, SETTING AND PARTICIPANTS: We prospectively collected clinical data of 470 patients admitted due to infection in the ED to compute PIRO according to three different methods. We tested PIRO variables for the prediction of mortality in the univariate analysis. Calculation and comparison were made of the area under the receiver operating curve (AUC) for the three PIRO methods, SOFA and qSOFA. RESULTS: Most of the variables included in PIRO were related to mortality in the univariate analysis. Increased PIRO scores were related to higher mortality. In relation to mortality, PIRO 1 performed better than PIRO2 at 30 d ((AUC 0.77 (0.716-0.824) vs. AUC 0.699 (0.64-0.758) (p=0.03) and similarly at 60 d (AUC 0.767 (0.715-0.819) vs AUC 0.709 (0.656-0.763)(p=0.55)); PIRO1 performed similarly to PIRO3 (AUC 0.765 (0.71-0.82) at 30 d, AUC 0.754 (0.701-0.806) at 60 d, p=ns). Both PIRO1 and PIRO3 were as good as SOFA referred to mortality (AUC 0.758 (0.699, 0.816) at 30 d vs. AUC 0.738 (0.681, 0.795) at 60 d; p=ns). For high level of care admission, PIRO proved inferior to SOFA. CONCLUSIONS: We support the use of PIRO1, which combines ease of use and the best performance referred to mortality over the short term. PIRO2 proved to be less accurate and more complex to use, suffering from missing microbiological data in the ED setting.

Management of primary immune thrombocytopenia. A comparison between two historical cohorts.

INTRODUCTION: In recent years, there have been changes in the management of patients with primary immune thrombocytopenia. In this study, a review is presented of the characteristics and outcomes of children with primary immune thrombocytopenia in a children's hospital (Hospital Infantil Niño Jesús). Moreover, an analysis is made of the changes in the care of these patients diagnosed before and after 2011, when new guidelines were published by the Spanish Society of Paediatric Haematology Oncology (SEHOP). MATERIAL AND METHODS: Data from a cohort of primary immune thrombocytopenia patients followed up in this hospital have been retrospectively reviewed. The statistical package used for the analysis was SPSS Statistics 22.0 (IBM Corp., Chicago, IL, USA). RESULTS: A review is presented on the clinical data from 235 paediatric patients diagnosed with primary immune thrombocytopenia. It was observed that some features at diagnosis, such as age younger than five years and a previous history of infection, influenced the probability of cure. Regarding the changes in the management of patients since 2011, the steroid doses received during the first month and the first year, and the number of days corresponding to the patient's first admission have both significantly decreased. Splenectomies were also significantly reduced. CONCLUSIONS: Since 2011, there have been changes in the medical care of our primary immune thrombocytopenia patients: they receive lower doses of steroids, they stay fewer days in the hospital, and the number of splenectomies has decreased without increasing bleeding or worsening the clinical evolution. Furthermore, it was observed that age younger than 5 years and a history of infection prior to diagnosis were related to higher chances of recovery.

Predicting hospital admission of patients with emergencies considered low priority according to assigned triage level. / Predicción de ingreso hospitalario en los pacientes con bajo nivel de prioridad de triaje atendidos en un servicio de urgencias.

OBJECTIVES: To develop a model to predict hospital admission of patients in cases assessed as nonurgent or semiurgent on emergency department triage. MATERIAL AND METHODS: Single-center observational study of a retrospective cohort. We included cases of patients older than 15 years whose emergency was classified as level IV-V according to the Andorran-Spanish triage model (MAT-SET, the Spanish acronym). Fourteen independent variables included demographic and care process items as well as vital signs. The dependent variable was hospital admission. The regression models were based on generalized estimating equations. RESULTS: A total of 53 860 episodes were included; 3430 patients (6.4%) were admitted. The median (interquartile range) age was 44.5 (31.1-63.9) years, and 54.1% were female. Vital signs were recorded in 19.3% of the episodes. The model that best predicted admission included the following variables: age > 84 years (adjusted odds ratio [aOR], 6.72; 95% CI, 5.26-8.60); male sex (aOR, 1.46; 95% CI, 1.28-1.66); referral from a primary care center (aOR, 1.94; 95% CI, 1.64-2.29); referral from another acute-care hospital (aOR, 11.22; 95% CI, 4.42-28.51); arrival by ambulance (aOR, 3.72; 95% CI, 3.16-4.40); revisit 72 hours (aOR, 2.15; 95% CI, 1.60-2.87); systolic blood pressure $ 150 mmHg (aOR, 0.83; 95% CI, 0.71-0.97); diastolic blood pressure 60 mmHg (aOR, 1.57; 95% CI, 1.25-1.98); axillary temperature > 37°C (aOR, 2.29; 95% CI, 1.91-2.74); heart rate > 100 beats/min (aOR, 1.65; 95% CI, 1.40-1.96); baseline oxygen saturation in arterial blood (SaO2) 93% (aOR, 2.66; 95% CI, 1.86-3.81); and SaO2 93%-95% (aOR, 1.70; 95% CI, 1.42-2.05). The area under the receiver operating characteristic curve for the model was 0.82 (95% CI; 95% CI, 0.80-0.83). CONCLUSION: The model predicts which patients are more likely to be admitted after their cases were initially considered nonurgent or semi-urgent on triage. Patients found to be at risk can then be given greater attention than others in the same triage level.

OBJETIVO: Desarrollar un modelo predictivo de ingreso hospitalario desde triaje de los pacientes atendidos en el servicio de urgencias hospitalario (SUH) con el nivel poco urgente-no urgente de prioridad de visita. METODO: Estudio observacional de cohortes retrospectivo unicéntrico. Se incluyeron los episodios de pacientes > 15 años con niveles IV-V MAT-SET atendidos en un SUH durante 2015. Se evaluaron 14 variables demográficas, datos de proceso y constantes vitales. La variable dependiente fue el ingreso hospitalario. Se utilizaron modelos de regresión basados en ecuaciones de estimación generalizadas. RESULTADOS: Se incluyeron 53.860 episodios, 3.430 (6,4%) ingresaron. La mediana de edad fue de 44,5 años (RIC 31,1-63,9), 54,1% mujeres. Un 19,3% de los episodios tenían registrados las constantes vitales (CV). El modelo con mayor capacidad predictiva incluía las siguientes variables: edad $ 85 años (ORa = 6,72; IC 95%: 5,26-8,60), sexo masculino (ORa = 1,46; IC 95% 1,28-1,66), procedencia de atención primaria (ORa = 1,94; IC 95% 1,64-2,29), de otro hospital de agudos (ORa = 11,22; IC 95% 4,42-28,51), llegada en ambulancia (ORa = 3,72; IC 95%:3,16-4,40), consulta previa a urgencias las 72 horas previas (ORa = 2,15; IC 95% 1,60-2,87), presión arterial sistólica $ 150 mmHg (ORa = 0,83; IC 95%:0,71-0,97), presión arterial diastólica 60 mmHg (ORa = 1,57; IC 95% 1,25-1,98), temperatura axilar > 37ºC (ORa = 2,29; IC 95% 1,91-2,74), frecuencia cardiaca > 100 latidos/minuto (ORa 1,65; IC 95% 1,40-1,96) y saturación basal de oxígeno 93% (ORa = 2,66; IC 95% 1,86-3,81) y 93-95% (ORa = 1,70; IC 95% 1,42-2,05). El área bajo la curva COR fue de 0,82 (IC 95% 0,80-0,83). CONCLUSIONES: Este modelo predictivo permitiría identificar desde el triaje a aquellos pacientes que, siendo poco urgentes o no urgentes, tienen mayor probabilidad de ingreso y darles una atención diferencial dentro del mismo nivel de prioridad.

Validation of the Predisposition Infection Response Organ (PIRO) dysfunction score for the prognostic stratification of patients with sepsis in the Emergency Department.

OBJECTIVE: There are many different methods for computing the Predisposition Infection Response Organ (PIRO) dysfunction score. We compared three PIRO methods (PIRO1 (Howell), PIRO2 (Rubulotta) and PIRO3 (Rathour)) for the stratification of mortality and high level of care admission in septic patients arriving at the Emergency Department (ED) of an Italian Hospital. DESIGN, SETTING AND PARTICIPANTS: We prospectively collected clinical data of 470 patients admitted due to infection in the ED to compute PIRO according to three different methods. We tested PIRO variables for the prediction of mortality in the univariate analysis. Calculation and comparison were made of the area under the receiver operating curve (AUC) for the three PIRO methods, SOFA and qSOFA. RESULTS: Most of the variables included in PIRO were related to mortality in the univariate analysis. Increased PIRO scores were related to higher mortality. In relation to mortality, PIRO 1 performed better than PIRO2 at 30 d ((AUC 0.77 (0.716-0.824) vs. AUC 0.699 (0.64-0.758) (p=0.03) and similarly at 60 d (AUC 0.767 (0.715-0.819) vs AUC 0.709 (0.656-0.763)(p=0.55)); PIRO1 performed similarly to PIRO3 (AUC 0.765 (0.71-0.82) at 30 d, AUC 0.754 (0.701-0.806) at 60 d, p=ns). Both PIRO1 and PIRO3 were as good as SOFA referred to mortality (AUC 0.758 (0.699, 0.816) at 30 d vs. AUC 0.738 (0.681, 0.795) at 60 d; p=ns). For high level of care admission, PIRO proved inferior to SOFA. CONCLUSIONS: We support the use of PIRO1, which combines ease of use and the best performance referred to mortality over the short term. PIRO2 proved to be less accurate and more complex to use, suffering from missing microbiological data in the ED setting.