tetano
Editor, Senior Moderator
Crit Care
. 2020 Dec 22;24(1):700.
doi: 10.1186/s13054-020-03416-1.
Prognostic value of bedside lung ultrasound score in patients with COVID-19
Li Ji[SUP] 1 2 [/SUP], Chunyan Cao[SUP] 1 2 [/SUP], Ying Gao[SUP] 1 2 [/SUP], Wen Zhang[SUP] 1 2 [/SUP], Yuji Xie[SUP] 1 2 [/SUP], Yilian Duan[SUP] 1 2 [/SUP], Shuangshuang Kong[SUP] 1 2 [/SUP], Manjie You[SUP] 1 2 [/SUP], Rong Ma[SUP] 1 2 [/SUP], Lili Jiang[SUP] 1 2 [/SUP], Jie Liu[SUP] 1 2 [/SUP], Zhenxing Sun[SUP] 1 2 [/SUP], Ziming Zhang[SUP] 1 2 [/SUP], Jing Wang[SUP] 1 2 [/SUP], Yali Yang[SUP] 1 2 [/SUP], Qing Lv[SUP] 1 2 [/SUP], Li Zhang[SUP] 1 2 [/SUP], Yuman Li[SUP] 3 4 [/SUP], Jinxiang Zhang[SUP] 5 [/SUP], Mingxing Xie[SUP] 6 7 [/SUP]
Affiliations
Abstract
Background: Bedside lung ultrasound (LUS) has emerged as a useful and non-invasive tool to detect lung involvement and monitor changes in patients with coronavirus disease 2019 (COVID-19). However, the clinical significance of the LUS score in patients with COVID-19 remains unknown. We aimed to investigate the prognostic value of the LUS score in patients with COVID-19.
Method: The LUS protocol consisted of 12 scanning zones and was performed in 280 consecutive patients with COVID-19. The LUS score based on B-lines, lung consolidation and pleural line abnormalities was evaluated.
Results: The median time from admission to LUS examinations was 7 days (interquartile range [IQR] 3-10). Patients in the highest LUS score group were more likely to have a lower lymphocyte percentage (LYM%); higher levels of D-dimer, C-reactive protein, hypersensitive troponin I and creatine kinase muscle-brain; more invasive mechanical ventilation therapy; higher incidence of ARDS; and higher mortality than patients in the lowest LUS score group. After a median follow-up of 14 days [IQR, 10-20 days], 37 patients developed ARDS, and 13 died. Patients with adverse outcomes presented a higher rate of bilateral involvement; more involved zones and B-lines, pleural line abnormalities and consolidation; and a higher LUS score than event-free survivors. The Cox models adding the LUS score as a continuous variable (hazard ratio
: 1.05, 95% confidence intervals [CI] 1.02 ~ 1.08; P < 0.001; Akaike information criterion [AIC] = 272; C-index = 0.903) or as a categorical variable (HR 10.76, 95% CI 2.75 ~ 42.05; P = 0.001; AIC = 272; C-index = 0.902) were found to predict poor outcomes more accurately than the basic model (AIC = 286; C-index = 0.866). An LUS score cut-off > 12 predicted adverse outcomes with a specificity and sensitivity of 90.5% and 91.9%, respectively.
Conclusions: The LUS score devised by our group performs well at predicting adverse outcomes in patients with COVID-19 and is important for risk stratification in COVID-19 patients.
Keywords: Acute respiratory distress syndrome (ARDS); COVID-19; LUS score; Lung ultrasound; Prognosis.
. 2020 Dec 22;24(1):700.
doi: 10.1186/s13054-020-03416-1.
Prognostic value of bedside lung ultrasound score in patients with COVID-19
Li Ji[SUP] 1 2 [/SUP], Chunyan Cao[SUP] 1 2 [/SUP], Ying Gao[SUP] 1 2 [/SUP], Wen Zhang[SUP] 1 2 [/SUP], Yuji Xie[SUP] 1 2 [/SUP], Yilian Duan[SUP] 1 2 [/SUP], Shuangshuang Kong[SUP] 1 2 [/SUP], Manjie You[SUP] 1 2 [/SUP], Rong Ma[SUP] 1 2 [/SUP], Lili Jiang[SUP] 1 2 [/SUP], Jie Liu[SUP] 1 2 [/SUP], Zhenxing Sun[SUP] 1 2 [/SUP], Ziming Zhang[SUP] 1 2 [/SUP], Jing Wang[SUP] 1 2 [/SUP], Yali Yang[SUP] 1 2 [/SUP], Qing Lv[SUP] 1 2 [/SUP], Li Zhang[SUP] 1 2 [/SUP], Yuman Li[SUP] 3 4 [/SUP], Jinxiang Zhang[SUP] 5 [/SUP], Mingxing Xie[SUP] 6 7 [/SUP]
Affiliations
- PMID: 33353548
- DOI: 10.1186/s13054-020-03416-1
Abstract
Background: Bedside lung ultrasound (LUS) has emerged as a useful and non-invasive tool to detect lung involvement and monitor changes in patients with coronavirus disease 2019 (COVID-19). However, the clinical significance of the LUS score in patients with COVID-19 remains unknown. We aimed to investigate the prognostic value of the LUS score in patients with COVID-19.
Method: The LUS protocol consisted of 12 scanning zones and was performed in 280 consecutive patients with COVID-19. The LUS score based on B-lines, lung consolidation and pleural line abnormalities was evaluated.
Results: The median time from admission to LUS examinations was 7 days (interquartile range [IQR] 3-10). Patients in the highest LUS score group were more likely to have a lower lymphocyte percentage (LYM%); higher levels of D-dimer, C-reactive protein, hypersensitive troponin I and creatine kinase muscle-brain; more invasive mechanical ventilation therapy; higher incidence of ARDS; and higher mortality than patients in the lowest LUS score group. After a median follow-up of 14 days [IQR, 10-20 days], 37 patients developed ARDS, and 13 died. Patients with adverse outcomes presented a higher rate of bilateral involvement; more involved zones and B-lines, pleural line abnormalities and consolidation; and a higher LUS score than event-free survivors. The Cox models adding the LUS score as a continuous variable (hazard ratio
: 1.05, 95% confidence intervals [CI] 1.02 ~ 1.08; P < 0.001; Akaike information criterion [AIC] = 272; C-index = 0.903) or as a categorical variable (HR 10.76, 95% CI 2.75 ~ 42.05; P = 0.001; AIC = 272; C-index = 0.902) were found to predict poor outcomes more accurately than the basic model (AIC = 286; C-index = 0.866). An LUS score cut-off > 12 predicted adverse outcomes with a specificity and sensitivity of 90.5% and 91.9%, respectively.
Conclusions: The LUS score devised by our group performs well at predicting adverse outcomes in patients with COVID-19 and is important for risk stratification in COVID-19 patients.
Keywords: Acute respiratory distress syndrome (ARDS); COVID-19; LUS score; Lung ultrasound; Prognosis.