No contraindication to internal jugular central venous catheter insertion in patients at increased risk of bleeding: Results from a prospective observational study in a internal medicine department.

Implantation of centrally inserted central venous catheter (CICC) may be complicated by bleedings particularly in patients with severe coagulopathy or taking antithrombotic drugs. It has been shown that the application of the Italian Group for Venous Access Devices (GAVeCeLT) bundle reduces the incidence of bleeding in patients admitted to intensive care units (ICU), but its effectiveness has never been demonstrated in different contexts. In this study we evaluated the incidence of bleeding after urgent internal jugular CICC (J-CICC) implantation in patients with increased or no risk of bleeding complications when recommended preventive strategies are applied systematically. We included 185 patients admitted to Internal Medicine Units who underwent urgent J-CICC implantation from April 2016 to December 2018. The incidence of major and minor bleeding immediately after the procedure and in the following 30 days was recorded. None of the enrolled patients showed major bleeding. The incidence of minor bleedings was 2.1% (95% IC: 0.03-4.2) with two patients requiring line removal and repositioning (1.1%; 95% IC: -0.45 to 2.6). Bleeds were not correlated with age or sex, although they all occurred in female subjects. The incidence of bleeds was not increased in patients with increased risk of bleeding compared with those without (5.0% vs 1.3%; p = 0.16). The use of anti-thrombotic medications was significantly associated with increased risk of minor bleedings (p = 0.03). In this study we demonstrated that the application of the GAVeCeLT suggested bundle can minimize the number of bleeding complications even in patients hospitalized in Internal Medicine Units. Further data are needed in patients taking antithrombotic drugs who appear to be more prone to minor bleeding, however the benefit of completing the procedure appears to significantly outweigh the risk of mechanical complications.

Derivation and validation of the clinical prediction model for COVID-19.

The epidemic phase of Coronavirus disease 2019 (COVID-19) made the Worldwide health system struggle against a severe interstitial pneumonia requiring high-intensity care settings for respiratory failure. A rationalisation of resources and a specific treatment path were necessary. The study suggests a predictive model drawing on clinical data gathered by 119 consecutive patients with laboratory-confirmed COVID-19 admitted in Busto Arsizio hospital. We derived a score that identifies the risk of clinical evolution and in-hospital mortality clustering patients into four groups. The study outcomes have been compared across the derivation and validation samples. The prediction rule is based on eight simple patient characteristics that were independently associated with study outcomes. It is able to stratify COVID-19 patients into four severity classes, with in-hospital mortality rates of 0% in group 1, 6-12.5% in group 2, 7-20% in group 3 and 60-86% in group 4 across the derivation and validation sample. The prediction model derived in this study identifies COVID-19 patients with low risk of in-hospital mortality and ICU admission. The prediction model that the study presents identifies COVID-19 patients with low risk of in-hospital mortality and admission to ICU. Moreover, it establishes an intermediate portion of patients that should be treated accurately in order to avoid an unfavourable clinical evolution. A further validation of the model is important before its implementation as a decision-making tool to guide the initial management of patients.