4 research outputs found

    Critical COVID-19 Patients Through First, Second And Third Wave: Retrospective Observational Study Comparing Outcomes In ICU.

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    Introduction- The time-course of the COVID-19 pandemic was characterized by subsequent waves identified by peaks of Intensive Care Unit (ICU) admission rates. During these periods, progressive knowledge of the disease led to the development of specific therapeutic strategies. This retrospective study investigates whether this led to improvement in outcomes of COVID-19 patients admitted to ICU. Methods- Outcomes were evaluated in consecutive adult COVID19 patients admitted to our ICU, divided into three waves based on the admission period: the first wave from February 25th, 2020, to July 6th, 2020; the second wave from September 20th, 2020, to February 13th, 2021; the third wave from February 14th, 2021 to April 30th, 2021. Differences were assessed comparing outcomes and by using different multivariable Cox models adjusted for variables related to outcome. Further sensitivity analysis was performed in patients undergoing invasive mechanical ventilation. Results- Overall, 428 patients were included in the analysis: 102, 169 and 157 patients in the first, second and third wave. The ICU and in-hospital crude mortalities were lower by 7% and 10% in the third wave compared to the other 2 waves (p>0.05). A higher number of ICU and hospital free days at day 90 was found in the third wave when compared to the other 2 waves (p=0.001). Overall, 62.6% underwent invasive ventilation, with decreasing requirement during the waves (p=0.002). The adjusted Cox model showed no difference in the Hazard Ratio for mortality among the waves. In the propensity-matched analysis the hospital mortality rate was reduced by 11% in the third wave (p=0.044). Conclusions - With application of best practice as known by the time of the first three waves of the pandemic, our study failed to identify a significant improvement in mortality rate when comparing the different waves of the COVID-19 pandemic, notwithstanding, the sub-analyses showed a trend in mortality reduction in the third wave. Rather, our study identified a possible positive effect of dexamethasone on mortality rate reduction and the increased risk of death related to bacterial infections in the three waves

    The association of procalcitonin and C- reactive protein with bacterial infections acquired during ICU stay in COVID-19 critically ill patients.

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    In COVID-19 patients, procalcitonin (PCT) and C-reactive protein (CRP) performance in identify-ing bacterial infections remains unclear. Our study aimed to evaluate the association of PCT and CRP with secondary infections acquired during ICU stay in critically ill COVID-19. This observa-tional study included adult patients admitted to three COVID-19 intensive care units (ICU) from February 2020 to May 2022 with respiratory failure caused by SARS-CoV-2 infection and ICU stay≥ 11 days. The values of PCT and CRP collected on the day of infection diagnosis were com-pared to those collected on day 11 after ICU admission, the median time for infection occurrence, in patients without secondary infection. The receiver operating characteristic curve (ROC) and multivariate logistic model were used to assess PCT and CRP association with secondary infec-tions. Two hundred and seventy-nine patients were included, of whom 169 (60,6%) developed secondary infection after ICU admission. The PCT and CRP values observed on the day of the in-fection diagnosis were larger (p< 0,001) than those observed on day 11 after ICU admission in pa-tients without secondary infections. The ROC analysis calculated an AUC of 0,744 (95%CI 0,685-0,803) and 0,754 (95%CI 0,695-0,812) for PCT and CRP, respectively. Multivariate logistic models showed that PCT ≥ 0,16 ng/ml and CRP≥ 1,35 mg/dl were associated (p<0,001) with infections acquired during ICU stay. Our results indicated that PCT and CRP values were associated with developing secondary infections in COVID-19 patients with an ICU stay > 11 days with an ac-ceptable level of diagnostic accuracy using cut-off values lower than those commonly used in no-COVID-19 patients
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