The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data.

BACKGROUND: This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU). METHODS: A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II). RESULTS: 12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25-1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26-1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4-5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1-3. CONCLUSIONS: Being frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its "continuum" better and predict ICU outcome more accurately. TRIAL REGISTRATION: Open Science Framework (OSF: https://osf.io/8buwk/ ).

A Clinical Prediction Rule for Thrombosis in Critically Ill COVID-19 Patients: Step 1 Results of the Thromcco Study.

The incidence of thrombosis in COVID-19 patients is exceptionally high among intensive care unit (ICU)-admitted individuals. We aimed to develop a clinical prediction rule for thrombosis in hospitalized COVID-19 patients. Data were taken from the Thromcco study (TS) database, which contains information on consecutive adults (aged ≥ 18) admitted to eight Spanish ICUs between March 2020 and October 2021. Diverse logistic regression model analysis, including demographic data, pre-existing conditions, and blood tests collected during the first 24 h of hospitalization, was performed to build a model that predicted thrombosis. Once obtained, the numeric and categorical variables considered were converted to factor variables giving them a score. Out of 2055 patients included in the TS database, 299 subjects with a median age of 62.4 years (IQR 51.5-70) (79% men) were considered in the final model (SE = 83%, SP = 62%, accuracy = 77%). Seven variables with assigned scores were delineated as age 25-40 and ≥70 = 12, age 41-70 = 13, male = 1, D-dimer ≥ 500 ng/mL = 13, leukocytes ≥ 10 × 103/µL = 1, interleukin-6 ≥ 10 pg/mL = 1, and C-reactive protein (CRP) ≥ 50 mg/L = 1. Score values ≥28 had a sensitivity of 88% and specificity of 29% for thrombosis. This score could be helpful in recognizing patients at higher risk for thrombosis, but further research is needed.

Hypoalbuminemia on admission in COVID-19 infection: An early predictor of mortality and adverse events. A retrospective observational study.

OBJECTIVES: Hypoalbuminemia is a negative acute phase reactant which has been associated with inflammatory response and poor outcome in infectious diseases. The aim of this study was to analyze the value of hypoalbuminemia on admission as a predictor of mortality and adverse events in COVID-19 patients. METHODS: We analyzed retrospective data from a cohort of 609 consecutive patients, with confirmed diagnosis of COVID-19, discharged from hospital (deceased or alive). Demographic characteristics, previous comorbidities, symptoms and laboratory findings on admission were collected. Comorbidities were assessed by Charlson-Age Comorbidity Index. RESULTS: Hypoalbuminemia on admission (<34 g/L) was more frequent in nonsurvivors than survivors (65.6% vs. 38%, p < 0.001) and was significantly associated with the development of sepsis, macrophage activation syndrome, acute heart failure, acute respiratory distress syndrome and acute kidney injury, regardless of Charlson-Age Comorbidity Index. Hypoalbuminemia was a predictor of mortality in multivariable Cox regression analysis (HR 1.537, 95% CI 1.050-2.250, p = 0.027), independently of Charlson-Age Index, gender, lymphocyte count <800/µL, creatinine, high-sensitivity C- reactive protein >8 mg/L, lactate dehydrogenase >250 U/L, bilateral infiltration on chest X-ray and q-SOFA ≥2. CONCLUSIONS: Hypoalbuminemia was an early predictor of in-hospital mortality in COVID-19, regardless of age, comorbidity and inflammatory markers. It also had significant association with severe adverse events, independently of Charlson-Age Comorbidity Index. Our results suggest that serum albumin determination on admission may help to identify patients with SARS-CoV-2 infection at high risk of developing potential life-threatening conditions and death.

OBJETIVOS: La hipoalbuminemia es un reactante de fase aguda negativo que ha sido asociado a la respuesta inflamatoria y mal resultado en enfermedades infecciosas. El objetivo de este estudio fue analizar el valor de la hipoalbuminemia en el momento del ingreso, como factor predictivo de mortalidad y episodios adversos en los pacientes de COVID-19. MÉTODOS: Analizamos los datos retrospectivos de una cohorte de 609 pacientes consecutivos, con diagnóstico confirmado de COVID-19, que abandonaron el hospital (fallecidos o vivos). Se recopilaron las características demográficas, comorbilidades previas, síntomas y hallazgos de laboratorio en el momento del ingreso. Las comorbilidades se asociaron al índice de comorbilidad de Charlson-Age. RESULTADOS: La hipoalbuminemia en el momento del ingreso (< 34 g/l) fue más frecuente en los no supervivientes que en los supervivientes (65,6 vs. 38%; p < 0,001) y estuvo significativamente asociada a desarrollo de sepsis, síndrome de activación macrofágica, insuficiencia cardiaca aguda, síndrome de distrés respiratorio agudo e insuficiencia renal aguda, independientemente del índice de comorbilidad de Charlson-Age. La hipoalbuminemia fue un factor predictivo de la mortalidad en el análisis multivariable de regresión de Cox (HR: 1,537; IC 95%: 1,050-2,250; p = 0,027), independientemente del índice de Charlson-Age, sexo, recuento linfocítico < 800/µl, creatinina, proteína C reactiva de alta sensibilidad > 8 mg/l, lactato deshidrogenasa > 250 U/l, infiltración bilateral en la placa de tórax y q-SOFA ≥ 2. CONCLUSIONES: La hipoalbuminemia fue un factor predictivo temprano de la mortalidad intrahospitalaria en la COVID-19, independientemente de la edad, de la comorbilidad y de los marcadores inflamatorios. También tuvo una asociación significativa con episodios adversos graves, independientemente del índice de comorbilidad de Charlson-Age. Nuestros resultados sugieren que determinar la albúmina sérica en el momento del ingreso podría ayudar a identificar a los pacientes con infección por SARS-CoV-2 con alto riesgo de desarrollar situaciones potencialmente mortales y muerte.

Hypoalbuminemia on admission in COVID-19 infection: An early predictor of mortality and adverse events. A retrospective observational study.

OBJECTIVES: Hypoalbuminemia is a negative acute phase reactant which has been associated with inflammatory response and poor outcome in infectious diseases. The aim of this study was to analyze the value of hypoalbuminemia on admission as a predictor of mortality and adverse events in COVID-19 patients. METHODS: We analyzed retrospective data from a cohort of 609 consecutive patients, with confirmed diagnosis of COVID-19, discharged from hospital (deceased or alive). Demographic characteristics, previous comorbidities, symptoms and laboratory findings on admission were collected. Comorbidities were assessed by Charlson-Age Comorbidity Index. RESULTS: Hypoalbuminemia on admission (<34g/L) was more frequent in nonsurvivors than survivors (65.6% vs. 38%, p<0.001) and was significantly associated with the development of sepsis, macrophage activation syndrome, acute heart failure, acute respiratory distress syndrome and acute kidney injury, regardless of Charlson-Age Comorbidity Index. Hypoalbuminemia was a predictor of mortality in multivariable Cox regression analysis (HR 1.537, 95% CI 1.050-2.250, p=0.027), independently of Charlson-Age Index, gender, lymphocyte count <800/µL, creatinine, high-sensitivity C- reactive protein >8mg/L, lactate dehydrogenase >250U/L, bilateral infiltration on chest X-ray and q-SOFA ≥2. CONCLUSIONS: Hypoalbuminemia was an early predictor of in-hospital mortality in COVID-19, regardless of age, comorbidity and inflammatory markers. It also had significant association with severe adverse events, independently of Charlson-Age Comorbidity Index. Our results suggest that serum albumin determination on admission may help to identify patients with SARS-CoV-2 infection at high risk of developing potential life-threatening conditions and death.

Frailty as a predictor of short- and long-term mortality in critically ill older medical patients.

PURPOSE: Frailty is a common condition among critically ill patients. Usually evaluated in a mixed population of medical, cardiac and surgical patients, we aimed to assess the impact of frailty on short- and long-term mortality exclusively in critically ill older medical patients. MATERIALS AND METHODS: We included 285 patients aged≥70 years admitted to ICU (2009-2017). Comorbidities, severity scores, treatment intensity and complications were recorded. Pre-hospital frailty, measured by Clinical Frailty Scale (CFS), was defined as a score ≥ 5 according to this scale. RESULTS: Prevalence of frailty (CFS ≥ 5) of 18.6%. Frail patients were more likely to be female (64.2% vs. 35.6%, p < .001) or suffer from heart failure (17% vs. 6%,p = .021). Apache II score was higher in frail than in non-frail patients (27.4 ±â€¯7.1 vs. 24.8 ±â€¯8.6,p = .041). Age, comorbidities, treatment intensity, complications, and ICU and hospital length of stay were similar between frail and non-frail patients. Life-sustaining treatment limitation was more frequent in frail patients (47.2% vs. 20.7%,p < .001). Except for ICU mortality, frailty was an independent predictor of short- and long-term mortality after adjustment for sociodemographic, comorbidities, severity scores, treatment intensity and complications. CONCLUSIONS: Frailty (CFS ≥ 5) was independently associated with short- and long-term mortality in older patients admitted to ICU exclusively due to a medical reason.