Management of COVID-19 Infection in a Small Bowel Transplant Recipient: A Case Report.

The COVID-19 pandemic has caused millions of people to become infected worldwide. Some patients may have disease progression and may need treatment with an anti-COVID-19 agent, hospitalization, and even intensive care. The risk factors for disease progression include old age, diabetes mellitus, pulmonary disease, cardiac disease, immunodeficiency, and immunosuppressant treatment. Therefore, managing COVID-19 infection in transplant patients under immunosuppressant treatments needs specific consideration, especially the side effects of anti-COVID-19 agents and the interaction between immunosuppressants and anti-COVID-19 agents. In this report, we present the case of a small bowel transplant patient who had a COVID-19 infection. The patient was initially treated for paxlovid, and she developed bloody stools and dizziness. The treatment was then changed to molnupiravir without discontinuation of tacrolimus. The patient recovered smoothly after a 5-day treatment with molnupiravir. Here, we discuss the management experience of such patients and review the relevant literature.

The impact of the COVID-19 outbreak on activation of the massive transfusion protocol in the emergency department.

BACKGROUND AND OBJECTIVES: An outbreak of coronavirus disease 2019 (COVID-19) occurred in mid-May of 2021 in Taiwan. After 2 months of hard work, transmissions were successfully prevented and the number of newly confirmed COVID-19 cases fell remarkably. We evaluated the impact of this outbreak on the massive transfusion protocol (MTP) in the emergency department (ED) of a trauma centre. MATERIALS AND METHODS: We retrospectively compared the activation and efficacy of MTP before, during and after the outbreak by analysing the clinical data relevant to MTP activations. RESULTS: There was no remarkable change in the average number of MTP triggers per month during the outbreak. The interval from an MTP trigger to the first unit of blood transfused at bedside was significantly increased during the outbreak compared to that before the outbreak (22.4 min vs. 13.9 min, p < 0.001); while the 24-h survival rate decreased (57.1% vs. 71.1%, p = 0.938). There were no remarkable changes in blood unit return or wastage during the outbreak. CONCLUSION: The COVID-19 outbreak limitedly affected MTP activation and waste of blood products, but significantly increased the interval from an MTP trigger to the first unit of blood transfused at bedside.

The predictive and prognostic role of hematologic and biochemical parameters in the emergency department among coronavirus disease 2019 patients.

Coronavirus disease 2019 (COVID-19) had caused a worldwide pandemic with public health emergencies since 2020. For the symptomatic patients, high mortality rate was observed if without timely and optimized management. In this study, we aimed to investigate the predictive and prognostic roles of hematologic and biochemical parameters obtained in the emergency department (ED) for COVID-19 patients. We conducted a retrospective study in a dedicated COVID-19 medical center, recruiting a total of 228 COVID-19 patients with 86 severe and 142 non-severe cases. Both the hematologic and biochemical parameters obtained in the ED upon arrival were analyzed to evaluate the association of the biomarkers with disease severity and prognosis among COVID-19 patients. Among these parameters, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), ferritin, and D-dimer were significantly higher in the severe group than the non-severe one, whereas the platelet count and lymphocyte-to-monocyte ratio were significantly lower. Receiver operating characteristic curve analysis revealed that the areas under curve of CRP, PCT, LDH, ferritin, D-dimer, and NLR for differentiating the severity of COVID-19 were 0.713, 0.755, 0.763, 0.741, 0.733, and 0.683, respectively, whereas the areas under curve of CRP, PCT, LDH, ferritin, D-dimer, and NLR for differentiating the mortality of COVID-19 were 0.678, 0.744, 0.680, 0.676, 0.755, and 0.572, respectively. Logistic regression analysis revealed that CRP, PCT, LDH, ferritin, D-dimer, and NLR were independent indicators for prediction of severe COVID-19, and LDH and ferritin were independent factors associated with the mortality in COVID-19. In conclusion, higher CRP, PCT, LDH, ferritin, D-dimer, and NLR were associated with severe COVID-19, whereas higher LDH and ferritin were associated with the mortality in COVID-19. These findings could help early risk stratification in the ED and contribute to optimized patient management.