A adesão bacteriana aos biomateriais é processo de alta complexidade que demanda importante preocupação médica dada a sua evidente influência sobre a morbimortalidade dos pacientes que fazem uso de próteses, além dos vultosos gastos que o envolvem. Nesta revisão com base na literatura médica são apresentados os principais microrganismos envolvidos na adesão aos biomateriais, discutindo a patogênese desse processo, sendo abordada cada uma de suas etapas, inclusive a formação do biofilme, que é etapa ímpar para o estabelecimento da infecção. São indicados, também, os principais fatores que influenciam o mecanismo de adesão, incluindo as características bacterianas e dos materiais, assim como as propriedades do meio.

Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. This cohort study of a large Brazilian COVID-19 Registry included 4120 COVID-19 adult patients from 16 hospitals. Symptomatic VTE was confirmed by objective imaging. LR analysis, tree-based boosting, and bagging were used to investigate the association of variables upon hospital presentation with VTE. Among 4,120 patients (55.5% men, 39.3% critical patients), VTE was confirmed in 6.7%. In multivariate LR analysis, obesity (OR 1.50, 95% CI 1.11–2.02); being an ex-smoker (OR 1.44, 95% CI 1.03–2.01); surgery ≤ 90 days (OR 2.20, 95% CI 1.14–4.23); axillary temperature (OR 1.41, 95% CI 1.22–1.63); D-dimer ≥ 4 times above the upper limit of reference value (OR 2.16, 95% CI 1.26–3.67), lactate (OR 1.10, 95% CI 1.02–1.19), C-reactive protein levels (CRP, OR 1.09, 95% CI 1.01–1.18); and neutrophil count (OR 1.04, 95% CI 1.005–1.075) were independent predictors of VTE. Atrial fibrillation, peripheral oxygen saturation/inspired oxygen fraction (SF) ratio and prophylactic use of anticoagulants were protective. Temperature at admission, SF ratio, neutrophil count, D-dimer, CRP and lactate levels were also identified as predictors by ML methods. By using ML and LR analyses, we showed that D-dimer, axillary temperature, neutrophil count, CRP and lactate levels are risk factors for VTE in COVID-19 patients. Supplementary Information The online version contains supplementary material available at 10.1007/s11739-022-03002-z.

Pasireotide is a new-generation somatostatin analog that acts through binding to multiple somatostatin receptor subtypes. Studies have shown that pasireotide induces hyperglycemia, reduces glucocorticoid secretion, alters neurotransmission, and potentially affects stress responses typically manifested as hyperglycemia and increased corticosterone secretion. This study specifically aimed to evaluate whether pasireotide treatment modifies glucose and costicosterone secretion in response to acute restraint stress. Male Holtzman rats of 150-200 g were treated with pasireotide (10 µg/kg/day) twice-daily for two weeks or vehicle for the same period. Blood samples were collected at baseline and after 5, 10, 30, and 60 min of restraint stress. The three experimental groups comprised of vehicle + restraint (VEHR), pasireotide + restraint (PASR), and pasireotide + saline (PASNR). Following pasireotide treatment, no significant differences in baseline glucose and corticosterone levels were observed among the three groups. During restraint, hyperglycemia was observed at 10 min (p < .01 for both comparisons), peaked at 30 min (p < .01 for both comparisons) and showed higher 60 min areas under glucose curves in the VEHR and PASR stressed groups when compared to the non-stressed PASNR group (p < .05 for both comparisons). Restraint also increased corticosterone secretion in the VEHR and PASR stressed groups at 5 min (p < .01 for both comparisons), and peaked at 30 min (p < .01 for both comparisons) with corresponding higher 60 min areas under corticosterone curves when compared to the non-stressed PASNR group (p < .01 for both comparisons). In conclusion, pasireotide treatment does not modify hyperglycemic- and corticosterone-restraint stress responses, thus preserving acute stress regulation.

Background Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. Methods This substudy of a large Brazilian COVID-19 Registry included COVID-19 adult patients from 16 hospitals. Symptomatic VTE was confirmed by objective imaging. LR analysis, tree-based boosting and bagging were used to investigate the association of variables upon hospital presentation with VTE. Results Among 4,120 patients (55·5% men, 39·3% critical patients), VTE was confirmed in 6·7%. In multivariate LR analysis, obesity (OR 1·50, 95%CI 1·11-2·02); being an ex-smoker (OR 1·44, 95%CI 1·03-2·01); surgery ≤ 90 days (OR 2·20, 95%CI 1·14-4·23); axillary temperature (OR 1·41, 95%CI 1·22-1·63); D-dimer ≥ 4 times above the upper limit of reference value (OR 2·16, 95%CI 1·26-3·67), lactate (OR 1·10, 95%CI 1·02-1·19), C-reactive protein levels (CRP, OR 1·09, 95% CI 1·01-1·18); and neutrophil count (OR 1·04, 95%CI 1·005-1·075) were independent predictors of VTE. Atrial fibrillation, peripheral oxygen saturation/inspired oxygen fraction (SF) ratio and prophylactic use of anticoagulants were protective. Temperature at admission, SF ratio, neutrophil count, D-dimer, CRP and lactate levels were also identified as predictors by ML methods. Conclusion By using ML and LR analyse, we showed that D-dimer, axillary temperature, neutrophil count, CRP and lactate levels are risk factors for VTE in COVID-19 patients.

Introduction: Venous thromboembolism (VTE) has a significantly higher incidence in COVID-19 patients when compared to other acute viral infections. The evidence on the risk factors of VTE in COVID-19 inhospital patients is still inconsistent. The information is of utmost importance, as a path to promote prevention, early diagnosis and treatment. Hypothesis: VTE predictors may be identified through logistic regression (LR) and machine learning (ML) approaches. Methods: This multicenter cohort study included consecutive COVID-19 adult patients from 16 hospitals, admitted between March and September, 2020. Deep venous thrombosis and pulmonary embolism were confirmed by objective imaging. LR analysis, tree-based boosting and bagging were used to investigate the association of variables upon hospital presentation with VTE. Results: Among 4,120 patients (median age 61 [interquartile range 48-72] years-old, 55.5% men, 39.3% admitted to intensive care unit), VTE was confirmed in 6.7%. In multivariate LR analysis, obesity (OR 1.50, 95%CI 1.11-2.02); being an ex-smoker (OR 1.44, 95%CI 1.03-2.01); surgery ≤ 90 days (OR 2.20, 95%CI 1.14-4.23); axillary temperature (OR 1.41, 95%CI 1.22-1.63); D-dimer ≥ 4 times above the upper limit of reference value (OR 2.16, 95%CI 1.26-3.67), lactate (OR 1.10, 95%CI 1.02-1.19), C-reactive protein levels (CRP, OR 1.09, 95% CI 1.01-1.18); and neutrophil count (OR 1.04, 95%CI 1.005-1.075) were independent predictors of VTE. Temperature at hospital presentation, SF ratio, neutrophil count, D-dimer, CRP and lactate levels were also identified as predictors by ML methods. Conclusions: By using ML and LR analysis, we showed that D-dimer, axillary temperature, neutrophil count, CPR and lactate levels are risk factors for VTE in COVID-19 patients. ML approaches were able to identify additional predictors. We suggest that patients presenting those risk factors at hospital admission should be more closely monitored for VTE development.

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There is increasing evidence suggesting involvement of the renin-angiotensin system (RAS) in carbohydrate metabolism and its response to stress. Thus, the aim of the present study was to evaluate the effects of chronic inhibition of the RAS on glucose and insulin levels during acute restraint stress. Male Holtzman rats were treated with 10 mg/kg per day enalapril solution or vehicle for 14 days. After 14 days, rats were divided into three experimental groups: enalapril + restraint (ER), vehicle + restraint (VR) and enalapril + saline (ES). Rats in the restraint groups were subjected to 30 min restraint stress, whereas rats in the ES groups were given saline infusion instead. Blood samples were collected at baseline and after 5, 10, 20 and 30 min restraint stress or saline infusion. After restraint, a hyperglycaemic response was observed in the ER and VR groups that peaked at 20 and 10 min, respectively (P < 0.05 compared with baseline). The area under the glucose curve was markedly increased in the ER and VR groups compared with that in the ES group (P < 0.05 for both). Importantly, restraint induced a marked increase in insulin secretion in the ER group compared with only a mild elevation in the VR group; insulin secretion in both groups peaked at 20 min (P < 0.05 compared with baseline). Analysis of the area under the insulin curve confirmed an increase in insulin secretion in the ER compared with the VR and ES groups (P < 0.05 for both). The results of the present study reinforce that the RAS is involved in modulating responses to stress and suggest that RAS inhibition with enalapril may increase glucose-induced insulin secretion in response to acute restraint.