Application and internal validation of lung ultrasound score in COVID-19 setting: The ECOVITA observational study.

BACKGROUND: The severe acute respiratory syndrome Coronarovirus-2 associated still causes a significant number of deaths and hospitalizations mainly by the development of respiratory failure. We aim to validate lung ultrasound score in order to predict mortality and the severity of the clinical course related to the need of respiratory support. METHODS: In this prospective multicenter hospital-based cohort study, all adult patients with diagnosis of SARS-CoV-2 infection, performed by real-time reverse transcription polymerase chain reaction were included. Upon admission, all patients underwent blood gas analysis and lung ultrasound by expert operators. The acquisition of ultrasound scan was performed on 12 peculiar anatomic landmarks of the chest. Lung ultrasound findings were classified according to a scoring method, ranging 0 to 3: Score 0: normal A-lines. Score 1: multiple separated B-lines. Score 2: coalescent B-lines, alteration of pleural line. Score 3: consolidation area. RESULTS: One thousand and seven patients were included in statistical analysis (male 62.4 %, mean age 66.3). Oxygen support was needed in 811 (80.5 %) patients. The median ultrasound score was 24 and the risk of having more invasive respiratory support increased in relation to higher values score computed. Lung ultrasound score showed negative strong correlation (rho: -0.71) with the P/F ratio and a significant association with in-hospital mortality (OR 1.11, 95 %CI 1.07-1.14; p < 0.001), even after adjustment with the following variables (age, sex, P/F ratio, SpO2, lactate, hypertension, chronic renal failure, diabetes, and obesity). CONCLUSIONS: The novelty of this research corroborates and validates the 12-field lung ultrasound score as tool for predicting mortality and severity clinical course in COVID-19 patients. Baseline lung ultrasound score was associated with in-hospital mortality and requirement of intensive respiratory support and predict the risk of IOT among COVID-19 patients.

Clinical application of lung ultrasound score on COVID-19 setting: a regional experience in Southern Italy.

OBJECTIVE: We aimed to assess the correlation between LUS Soldati proposed score and clinical presentation, course of disease and the possible need of ventilation support/intensive care. PATIENTS AND METHODS: All consecutive patients with laboratory confirmed SARS-CoV-2 infection and hospitalized in two COVID Centers were enrolled. All patients performed blood gas analysis and lung ultrasound (LUS) at admission. The LUS acquisition was based on standard sequence of 14 peculiar anatomic landmarks with a score between 0-3 based on impairment of LUS picture. Total score was computed with their sum with a total score ranging 0 to 42, according to Soldati LUS score. We evaluated the course of hospitalization until either discharge or death, the ventilatory support and the transition in intensive care if needed. RESULTS: One hundred and fifty-six patients were included in the final analysis. Most of patients presented moderate-to-severe respiratory failure (FiO2 <20%, PaO2 <60 mmHg) and consequent recommendation to invasive mechanic ventilation (CPAP/NIV/OTI). The median ultrasound thoracic score was 28 (IQR 18-36) and most of patients could be ascertained either in a score 2 (40%) or score 3 pictures (24.4%). The bivariate correlation analysis displayed statistically significant and high positive correlations between the LUS score and the following parameters: ventilation (rho=0.481, p<0.001), lactates (rho=0.464, p<0.001), dyspnea (rho=0.398, p=0.001) mortality (rho=0.410, p=0.001). Conversely, P/F (rho= -0.663, p<0.001), pH (rho = -0.363, p=0.003) and pO2 (rho = -0.400 p=0.001) displayed significant negative correlations. CONCLUSIONS: LUS score improve the workflow and provide an optimal management both in early diagnosis and prognosis of COVID-19 related lung pathology.

Elevated one-hour post-load plasma glucose levels identifies subjects with normal glucose tolerance but early carotid atherosclerosis.

OBJECTIVE: To examine whether individuals with normal glucose tolerance (NGT), whose 1-h post-load plasma glucose is >or=155 mg/dl, or with impaired glucose tolerance (IGT) have an increased carotid intima-media thickness (IMT), as compared with NGT individuals with 1-h post-load plasma <155 mg/dl. METHODS: Atherosclerosis risk factors, oral glucose tolerance test (OGTT), and ultrasound manual measurement of IMT were analyzed in 400 non-diabetic Caucasians. RESULTS: As compared with individuals with a 1-h post-load plasma glucose <155 mg/dl, NGT individuals with a 1-h post-load plasma glucose >or=155 mg/dl exhibited higher hsCRP (2.0+/-1.5 vs. 1.5+/-1.0, P=0.008), and IMT (0.82+/-0.20 vs. 0.71+/-0.16; P=0.006), and lower insulin sensitivity (71+/-39 vs. 105+/-57; P<0.0001), and IGF-1 levels (214+/-88 vs. 176+/-49; P<0.03). No significant differences were observed in metabolic and cardiovascular risk factors between IGT and NGT subjects with a 1-h post-load glucose >or=155 mg/dl. Of the three glycemic parameters, 1-h and 2-h post-load glucose, but not fasting glucose, were significantly correlated with IMT. In a stepwise multivariate regression analysis in a model including age, gender, and a variety of atherosclerosis risk factors, the three variables that remained significantly associated with IMT were age (P<0.0001), BMI (P<0.0001), and 1-h post-load glucose (P=0.02) accounting for 20.2% of its variation. CONCLUSIONS: NGT subjects with a 1-h post-load glucose >or=155 mg/dl have an atherogenic profile similar to IGT individuals. These data suggest that a cutoff point of 155 mg/dl for the 1-h post-load glucose during OGTT may be helpful in the identification of NGT subjects at increased risk for cardiovascular disease.