The utility of 18F-FDG-PET/CT in detecting extracranial large vessel vasculitis in rheumatic polymyalgia or giant cell arteritis: A systematic review and meta-analysis.

OBJECTIVE: Systematic review of current evidence to analyze the prevalence of extracranial large vessel vasculitis (LVV) using 18F-FDG PET/CT in patients with polymyalgia rheumatica (PMR) or giant cell arteritis (GCA). MATERIALS AND METHODS: PubMed and EMBASE were searched and the results were screened by two reviewers. Study quality was assessed using a modified version of the Newcastle-Ottawa scale. Heterogeneity between studies was assessed using the I2 statistic and the Q test. Further subgroup analyses were performed by disease type, study quality, and 18F-FDG PET/CT uptake criteria. Publication bias was assessed by funnel plot and Egger's test. RESULTS: 268 publications were identified, of which 17 met the selection criteria and were included in the meta-analysis. The overall pooled prevalence of extracranial LVV by 18F-FDG PET/CT was 54.5% [95% CI: 42.6%-66.1%]. In patients with GCA the prevalence was significantly higher than in patients with PMR (60.1% vs. 41.8%, P = .006). Likewise, studies with a lower risk of bias reported a higher prevalence of extracranial LVV (61.1% vs. 46.9%; P = .010). No publication bias was observed. CONCLUSIONS: The 18F-FDG PET/CT test may be useful in the detection of extracranial LVV, both in patients with PMR or GCA. Such involvement is more frequent in patients with GCA, and may vary depending on the quality of the studies.

The early use of sepsis scores to predict respiratory failure and mortality in non-ICU patients with COVID-19.

This observational retrospective study aimed to investigate the usefulness of Sequential Organ Failure Assessment (SOFA), Quick SOFA (qSOFA), National Early Warning Score (NEWS), and quick NEWS in predicting respiratory failure and death among patients with COVID-19 hospitalized outside of intensive care units (ICU). We included 237 adults hospitalized with COVID-19 who were followed-up on for one month or until death. Respiratory failure was defined as a PaO2/FiO2 ratio ≤200mmHg or the need for mechanical ventilation. Respiratory failure occurred in 77 patients (32.5%), 29 patients (12%) were admitted to the ICU, and 49 patients (20.7%) died. Discrimination of respiratory failure was slightly higher in NEWS, followed by SOFA. Regarding mortality, SOFA was more accurate than the other scores. In conclusion, sepsis scores are useful for predicting respiratory failure and mortality in COVID-19 patients. A NEWS score ≥4 was found to be the best cutoff point for predicting respiratory failure.

Utilidad de las escalas de sepsis para predecir el fallo respiratorio y la muerte en pacientes con COVID-19 fuera de las Unidades de Cuidados Intensivos / The early use of sepsis scores to predict respiratory failure and mortality in non-ICU patients with COVID-19

El presente estudio retrospectivo observacional tiene como objetivo analizar la utilidad de las escalas SOFA (Sequential Organ Failure Assessment), qSOFA (Quick SOFA), NEWS (National Early Warning Score ) y Quick NEWS para predecir el fallo respiratorio y la muerte en pacientes con COVID-19 atendidos fuera de la Unidad de Cuidados Intensivos (UCI). Se incluyeron 237 adultos con COVID-19 hospitalizados seguidos durante un mes o hasta su fallecimiento. El fallo respiratorio se definió como un cociente PaO2/FiO2 ≤ 200 mmHg o la necesidad de ventilación mecánica. Setenta y siete pacientes (32,5%) desarrollaron fallo ventilatorio; 29 (12%) precisaron ingreso en UCI, y 49 fallecieron (20,7%). La discriminación del fallo ventilatorio fue algo mayor con la puntuación NEWS, seguida de la SOFA. En cuanto a la mortalidad, la puntuación SOFA fue más exacta que las otras escalas. En conclusión, las escalas de sepsis son útiles para predecir el fallo respiratorio y la muerte en COVID-19. Una puntuación ≥ 4 en la escala NEWS sería el mejor punto de corte para predecir fallo respiratorio (AU)

This observational retrospective study aimed to investigate the usefulness of Sequential Organ Failure Assessment (SOFA), Quick SOFA (qSOFA), National Early Warning Score (NEWS), and quick NEWS in predicting respiratory failure and death among patients with COVID-19 hospitalized outside of intensive care units (ICU). We included 237 adults hospitalized with COVID-19 who were followed-up on for one month or until death. Respiratory failure was defined as a PaO2/FiO2 ratio ≤ 200 mmHg or the need for mechanical ventilation. Respiratory failure occurred in 77 patients (32.5%), 29 patients (12%) were admitted to the ICU, and 49 patients (20.7%) died. Discrimination of respiratory failure was slightly higher in NEWS, followed by SOFA. Regarding mortality, SOFA was more accurate than the other scores. In conclusion, sepsis scores are useful for predicting respiratory failure and mortality in COVID-19 patients. A NEWS score ≥ 4 was found to be the best cutoff point for predicting respiratory failure (AU)

[The early use of sepsis scores to predict respiratory failure and mortality in non-ICU patients with COVID-19]. / Utilidad de las escalas de sepsis para predecir el fallo respiratorio y la muerte en pacientes con COVID-19 fuera de las Unidades de Cuidados Intensivos.

This observational retrospective study aimed to investigate the usefulness of Sequential Organ Failure Assessment (SOFA), Quick SOFA (qSOFA), National Early Warning Score (NEWS), and quick NEWS in predicting respiratory failure and death among patients with COVID-19 hospitalized outside of intensive care units (ICU). We included 237 adults hospitalized with COVID-19 who were followed-up on for one month or until death. Respiratory failure was defined as a PaO2/FiO2 ratio ≤ 200 mmHg or the need for mechanical ventilation. Respiratory failure occurred in 77 patients (32.5%), 29 patients (12%) were admitted to the ICU, and 49 patients (20.7%) died. Discrimination of respiratory failure was slightly higher in NEWS, followed by SOFA. Regarding mortality, SOFA was more accurate than the other scores. In conclusion, sepsis scores are useful for predicting respiratory failure and mortality in COVID-19 patients. A NEWS score ≥ 4 was found to be the best cutoff point for predicting respiratory failure.