Mortality in patients with COVID-19 versus non-COVID-19- related acute respiratory distress syndrome: A single center retrospective observational cohort study.

The pathophysiology of coronavirus disease-2019 (COVID-19)-related acute respiratory distress syndrome (ARDS) varies from other pneumonia-related ARDS. We evaluated whether the mortality rates differed for COVID-19 and non-COVID-19-related ARDS in the Asian population in 2021. This single center retrospective observational cohort study included patients with COVID-19 and non-COVID-19-related ARDS that required invasive mechanical ventilation. The primary outcome was all-cause in-hospital mortality. The secondary outcomes included hospital length of stay, ICU length of stay, duration of mechanical ventilation, and ventilator-free days (VFDs) during the first 28 days. A 1:1 propensity score matching was performed to correct potential confounders by age, obesity or not, and ARDS severity. One-hundred-and-sixty-four patients fulfilled the inclusion criteria. After 1:1 propensity score matching, there were 50 patients in each group. The all-cause in-hospital mortality of all patients was 38 (38%), and no significant differences were found between COVID-19 and non-COVID-19-related ARDS (17 [34%) vs. 21 [42%], p = 0.410). Both groups had length of stay (30.0 [20.0-46.0] vs. 27.0 [13.0-45.0] days, p = 0.312), ICU length of stay (19.0 [13.0-35.0] vs. 16.0 [10.0-32.0] days, p = 0.249), length of mechanical ventilation (19.0 [10.0-36.0] vs. 14.0 [9.0-29.0] days, p = 0.488), and ventilator-free days during the first 28 days (5.5 [0.0-17.0] vs. 0.0 [0.0-14.0] days, p = 0.320). Immunocompromised status (Hazard ratio: 3.63; 95% CI: 1.51-8.74, p = 0.004) and progress to severe ARDS (Hazard ratio: 2.92; 95% CI: 1.18-7.22, p = 0.020) were significant in-hospital mortality-related confounders. There were no significant difference in mortality among both groups. Immunocompromised status and progression to severe ARDS are two possible risk factors for patients with ARDS; COVID-19 is not a mortality-related risk exposure.

Rapid response of a medical center upon the surge of COVID-19 epidemic in Taiwan.

A surge of coronavirus disease (COVID-19) cases emerged in northern Taiwan in mid-May 2021. In spite of over one-year preparedness, the medical system in this area suffered from the crisis. Far Eastern Memorial Hospital (FEMH) responded quickly with decreased total hospitalization cases (about 50%) to free manpower and space. With simple construction work, the in-hospital service capacity increases from 11 negative-pressure ward (1 unit) and 2 negative-pressure ICU (1 unit) beds to over 130 ward (5 units) and 58 ICU beds (4 units) without negative-pressure design within 3 weeks. For a period of time, FEMH takes care of 10% of all intensive care services in Taiwan. The vaccination rate of workers reaches 90% since mid-May. The amount of testing performed during the period, including PCR and rapid tests, comprised of more than 20% of tests performed in New Taipei City. Two hotels for mild/asymptomatic COVID patients were handled by FEMH workers. By mid-July, about one-fifth of COVID-19 cases in New Taipei City received services from the FEMH system. With determined leadership and concerted efforts, combined interventions can increase the capacity of medical care within weeks and help society against the COVID-19 epidemic.

The use of electrical impedance tomography for individualized ventilation strategy in COVID-19: a case report.

BACKGROUND: Clinical management of COVID-19 requires close monitoring of lung function. While computed tomography (CT) offers ideal way to identify the phenotypes, it cannot monitor the patient response to therapeutic interventions. We present a case of ventilation management for a COVID-19 patient where electrical impedance tomography (EIT) was used to personalize care. CASE PRESENTATION: The patient developed acute respiratory distress syndrome, required invasive mechanical ventilation, and was subsequently weaned. EIT was used multiple times: to titrate the positive end-expiratory pressure, understand the influence of body position, and guide the support levels during weaning and after extubation. We show how EIT provides bedside monitoring of the patient´s response to various therapeutic interventions and helps guide treatments. CONCLUSION: EIT provides unique information that may help the ventilation management in the pandemic of COVID-19.