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1.
Journal of Intensive Medicine ; 2022.
Article in English | ScienceDirect | ID: covidwho-1665214

ABSTRACT

Background The coronavirus disease 2019 (COVID-19) is an ongoing pandemic since December 2019. Invasive mechanical ventilation (IMV) is essential for the management of COVID-19 with acute respiratory distress syndrome (ARDS). We aimed to assess the impact of compliance with a respiratory decision support system on the outcomes of patients with COVID-19-associated ARDS who required IMV. Methods In this retrospective, single-center, case series, 46 patients with COVID-19-associated ARDS who required IMV at Zhongnan Hospital of Wuhan University, China, from January 8, 2020, to March 24, 2020, with the final follow-up date of April 20, 2020, were included. Demographic, clinical, laboratory, imaging, and management information were collected and analyzed. Compliance with the respiratory support decision system was documented, and its relationship with 28-day mortality was evaluated. Results The median age of the 46 patients with COVID-19-associated ARDS requiring IMV was 68.5 years, and 31 were men. The partial pressure of arterial oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio at intensive care unit (ICU) admission was 104 mmHg. The median total length of IMV was 12.0 (interquartile range [IQR], 6.0–27.3) days, and the median respiratory support decision score was 11.0 (IQR, 7.8–16.0). To 28 days after ICU admission, 18 (39.1%) patients died. Survivors had a significantly higher respiratory support decision score than non-survivors (15.0 [10.3–17.0] vs. 8.5 (6.0–10.3), P = 0.001). Using receiver operating characteristic (ROC) curve to assess the discrimination of respiratory support decision score to 28-day mortality, the area under the curve (AUC) was 0.796 (95% confidence interval [CI]: 0.657–0.934, P = 0.001) and the cut-off was 11.5 (sensitivity = 0.679, specificity = 0.889). Patients with a higher score (>11.5) were more likely to survive at 28 days after ICU admission (log-rank test, P < 0.001). Conclusions For severe COVID-19-associated ARDS with IMV, following the respiratory support decision and assessing completion would improve the progress of ventilation. With a decision score of >11.5, the mortality at 28 days after ICU admission showed an obvious decrease.

2.
Shock ; 56(2): 200-205, 2021 08 01.
Article in English | MEDLINE | ID: covidwho-1316852

ABSTRACT

PURPOSE: We used lung ultrasonography to identify features of COVID-19 pneumonia and to evaluate the prognostic value. PATIENTS AND METHODS: We performed lung ultrasonography on 48 COVID-19 patients in an intensive care unit (ICU) (Wuhan, China) using a 12-zone method. The associations between lung ultrasonography score, PaO2/FiO2, APACHE II, SOFA, and PaCO2 with 28-day mortality were analyzed and the receiver operator characteristic curve was plotted. RESULTS: 25.9% areas in all scanning zones presented with B7 lines and 23.5% with B3 lines (B-pattern) on lung ultrasonography; 13% areas with confluent B lines (B-pattern), 24.9% in areas with consolidations, and 9.9% in areas with A lines. Pleural effusion was observed in 2.8% of areas. Lung ultrasonography score was negatively correlated with PaO2/FiO2 (n = 48, r = -0.498, P < 0.05) and positively correlated with APACHE II (n = 48, r = 0.435, P < 0.05). Lung ultrasonography score was independently associated with 28-day mortality. The areas under receiver operator characteristic curves of lung ultrasonography score were 0.735 (95% CI: 0.586-0.844). The sensitivity, specificity, and cutoff values were 0.833, 0.722, and 22.5, respectively. CONCLUSIONS: Lung ultrasonography could be used to assess the severity of COVID-19 pneumonia, and it could also reveal the pathological signs of the disease. The lung ultrasonography score on ICU admission was independently related to the ICU 28-day mortality.


Subject(s)
COVID-19/diagnosis , Lung/diagnostic imaging , Ultrasonography/methods , Aged , COVID-19/epidemiology , Female , Follow-Up Studies , Humans , Male , Middle Aged , Pandemics , Prognosis , Prospective Studies , ROC Curve , SARS-CoV-2
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