RESUMO
Spontaneous bacterial peritonitis (SBP) is a complication of liver cirrhosis with an increased in-hospital mortality rate. For this reason, the aim of the present study was to examine the main predictors of mortality in order to be able to identify high-risk patients in time and to guide the optimal treatment for prognosis improvement. We retrospectively collected demographic, clinical, laboratory and treatment data as well as data regarding length of stay and cost of hospitalization from 72 patients diagnosed with SBP between January 2010 and December 2019 in the Emergency Clinical Hospital St. Apostle Andrew, Constanta, Romania. Patients were divided into two groups: Those who survived and those who died. Logistic regression was used to identify a possible association between these factors and the increased risk of mortality. Univariate analysis revealed that clinical factors (fever, chills, and hepatic encephalopathy), biological factors such as serum and ascites leukocyte value, polymorphonuclear percentage (PMN), erythrocyte sedimentation rate (ESR) value, previous SBP episodes, and the presence of complications such as acute kidney injury (AKI), sepsis, and systemic inflammatory response syndrome (SIRS) were significantly associated with in-hospital mortality in patients with SBP. Multivariate analysis revealed that SIRS (P=0.0010) and fever (P=0.0258) were significantly associated with in-hospital mortality in patients with SBP. Findings of the present study suggest that, SIRS and fever were independent predictive factors of mortality in cirrhotic patients with SBP.
RESUMO
In the last years, the commercial drone/unmanned aerial vehicles market has grown due to their technological performances (provided by the multiple onboard available sensors), low price, and ease of use. Being very attractive for an increasing number of applications, their presence represents a major issue for public or classified areas with a special status, because of the rising number of incidents. Our paper proposes a new approach for the drone movement detection and characterization based on the ultra-wide band (UWB) sensing system and advanced signal processing methods. This approach characterizes the movement of the drone using classical methods such as correlation, envelope detection, time-scale analysis, but also a new method, the recurrence plot analysis. The obtained results are compared in terms of movement map accuracy and required computation time in order to offer a future starting point for the drone intrusion detection.
RESUMO
AIM: We observed the most vulnerable parts of the human body in traffic accidents. MATERIALS AND METHODS: The study was made on the cases of death in Timis region in the last 3 years (2005-2007). Out of a total of 2314 forensic autopsies, 407 were consequences of traffic accidents. RESULTS: In Romania, it is compulsory to perform the forensic autopsy on traffic accident (TA) victims. In our study concerning the mortality in TA, cranio-cerebral trauma represents 33.58%, vertebro-medullar trauma--8.09%, thoracic trauma--2.89%, and singular abdominal trauma--1.73%. The topographic distribution shows: axial regions--79.19% (skull 60%, thoracic 9.19%, rachis 5%, pelvis 4%, and abdomen 2%); limbs 20.80%. The gender distribution shows a bigger proportion of male drivers as well as pedestrians (3:1 ratio). The analysis of alcohol abuse in TA shows that 35% of the deceased drivers were under the influence of alcohol. CONCLUSIONS: The forensic expertise in traffic accidents is very useful in identifying the liable party, in establishing the level of alcohol intoxication, as well as in identifying the injuries with lethal potential.
