Changing trends in clinical characteristics and in-hospital mortality of patients with infective endocarditis over four decades.

BACKGROUND: Infective endocarditis continues to be a significant concern and may be undergoing an epidemiological transition. METHODS: Were studied 1804 consecutive episodes of infective endocarditis between 1978 and 2022. The mean age was 48 ( ± 19), and 1162 (64%) patients were male. Temporal trends in demographic data, comorbidities, predisposing conditions, microorganisms, complications and in-hospital death have been studied over the decades (1978-1988, 1989-1999, 2000-2010 and 2011-2022). The outcomes and clinical characteristics were modeled using nonlinear cubic spline functions. FINDINGS: Valve surgery was performed in 50% of the patients and overall in-hospital mortality was 30%. From the first to the fourth decade studied, the average age of patients increased from 29 to 57 years (p < 0.001), with significant declines in the occurrence of rheumatic valvular heart disease (15% to 6%; p < 0.001) and streptococcal infections (46% to 33%; p < 0.001). Healthcare-associated infections have increased (9% to 21%; p < 0.001), as have prosthetic valve endocarditis (26% to 53%; p < 0.001), coagulase-negative staphylococcal infections (4% to 11%; p < 0.001), and related-complications (heart failure, embolic events, and perivalvular abscess; p < 0.001). These changes were associated with a decline in adjusted in-hospital mortality from 34% to 25% (p = 0.019). INTERPRETATION: In the 44 years studied, there was an increase in the mean age of patients, healthcare-related, prosthetic valve, coagulase-negative staphylococci/MRSA infections, and related complications. Notably, these epidemiological changes were associated with a decline in the adjusted in-hospital mortality.

The Predictive Value of Sepsis Scores for In-Hospital Mortality in Patients with Left-Sided Infective Endocarditis.

BACKGROUND: As infective endocarditis has particular characteristics compared to other infectious diseases, it is not clear if sepsis scores are reported with good accuracy in these patients. The aim of this study is to evaluate the accuracy of the qSOFA and SOFA scores to predict mortality in patients with infective endocarditis. METHODS: Between January 2010 and June 2019, 867 patients with suspected left-sided endocarditis were evaluated; 517 were included with left-sided infective endocarditis defined as "possible" or "definite" endocarditis, according to the Modified Duke Criteria. ROC curves were constructed to assess the accuracy of qSOFA and SOFA sepsis scores for the prediction of in-hospital mortality. RESULTS: The median age was 57 years, 65% were male, 435 (84%) had pre-existing heart valve disease, and the overall mortality was 28%. The most frequent etiologies were Streptococcus spp. (36%), Enterococcus spp. (10%), and Staphylococcus aureus (9%). The sepsis scores from the ROC curves used to predict in-hospital mortality were qSOFA 0.601 (CI95% 0.522-0.681) and SOFA score 0.679 (CI95% 0.602-0.756). A sub-group analysis in patients with and without pre-existing valve disease for SOFA ≥ 2 showed ROC curves of 0.627 (CI95% 0.563-0.690) and 0.775 (CI95% 0.594-0.956), respectively. CONCLUSIONS: qSOFA and SOFA scores were associated with increased in-hospital mortality in patients with infective endocarditis. However, as accuracy was relatively lower compared to other sites of bacterial infections, we believe that this score may have lower accuracy when predicting the prognosis of patients with IE, because, in this disease, the patient's death may be more frequently linked to valvular and cardiac dysfunction, as well as embolic events, and less frequently directly associated with sepsis.

Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment.

As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions. KEY MESSAGES: Skin imprints complement plasma in disease metabolomics. The annotated markers have a role in immunomodulation and metabolic diseases. Skin imprints outperformed plasma samples at assessing disease severity. Skin imprints have potential as non-invasive sampling strategy for COVID-19.

Risk Factors for Surgical Site Infection in Patients Undergoing Pediatric Cardiac Surgery. / Fatores de Risco para Infecção da Ferida Operatória em Pacientes Submetidos à Cirurgia Cardíaca Pediátrica.

BACKGROUND: Central Illustration : Risk Factors for Surgical Site Infection in Patients Undergoing Pediatric Cardiac Surgery Risk factors for surgical site infection in patients undergoing pediatric cardiac surgery. BACKGROUND: Surgical site infection is an important complication after pediatric cardiac surgery, associated with increased morbidity and mortality. OBJECTIVES: We sought to identify risk factors for surgical site infection after pediatric cardiac surgeries. METHODS: A case-control study included patients aged between 1 year and 19 years and 11 months of age, submitted to cardiac surgery performed at a tertiary cardiac center from January 1 st , 2011, through December 31, 2018. Charts were reviewed for pre-, intra, and postoperative variables. We identified two randomly selected control patients with the same pathophysiological diagnosis and underwent surgery within thirty days of each index case. Univariate and multivariate logistic regression analyses were performed to identify risk factors. Statistical significance was defined as p<0.05. RESULTS: Sixty-six cases and 123 controls were included. Surgical site infection incidence ranged from 2% to 3.8%. The following risk factors were identified: Infant age (OR 3.19, 95% CI 1.26 to 8.66, p=0.014), presence of genetic syndrome (OR 6.20, CI 95% 1.70 to 21.65, p=0.004), categories 3 and 4 of RACHS-1 (OR 8.40, CI 95% 3.30 to 21.34, p<0.001), 48 h C-reactive protein level range was detected as a protective factor for this infection (OR 0.85, 95% CI 0.73 to 0.98, p=0.023). CONCLUSIONS: The risk factors defined in this study could not be modified. Therefore, additional surveillance and new preventive strategies need to be implemented to reduce the incidence of surgical site infection. The increased CRP in the postoperative period was a protective factor that needs further understanding.

Fatores de Risco para Infecção da Ferida Operatória em Pacientes Submetidos à Cirurgia Cardíaca Pediátrica / Risk Factors for Surgical Site Infection in Patients Undergoing Pediatric Cardiac Surgery

Resumo Fundamento A infecção do sítio cirúrgico (ISC) é uma importante complicação no pós-operatório de cirurgia cardíaca pediátrica associada ao aumento da morbimortalidade. Objetivos Identificar fatores de risco para a ISC após cirurgias cardíacas para correção de malformações congênitas. Métodos Este estudo caso-controle incluiu 189 pacientes com um ano completo e 19 anos e 11 meses, submetidos à cirurgia cardíaca em hospital universitário terciário de cardiologia de janeiro de 2011 a dezembro de 2018. Foi realizado registro e análise de dados pré, intra e pós-operatórios. Para cada caso foram selecionados dois controles, conforme o diagnóstico da cardiopatia e cirurgia realizada em um intervalo de até 30 dias para minimizar diferenças pré e/ou intraoperatórias. Para a análise dos fatores de risco foi utilizado o modelo de regressão binária logística. Significância estatística definida como valor de p<0,05. Resultados O estudo incluiu 66 casos e 123 controles. A incidência de ISC variou de 2% a 3,8%. Fatores de risco identificados: faixa etária de lactentes (OR 3,19, IC 95% 1,26 - 8,66, p=0,014), síndrome genética (OR 6,20, IC 95% 1,70 - 21,65, p=0,004), RACHS-1 categorias 3 e 4 (OR 8,40, IC 95% 3,30 - 21,34, p<0,001), o valor da proteína C reativa (PCR) de 48 horas pós-operatórias foi demonstrado como fator protetor para esta infecção (OR 0,85, IC 95% 0,73 - 0,98, p=0,023). Conclusão Os fatores de risco identificados não são variáveis modificáveis. Vigilância e medidas preventivas contínuas são fundamentais para reduzir a infecção. O papel do PCR elevado no pós-operatório foi fator protetor e precisa ser melhor estudado.

Abstract Background Surgical site infection is an important complication after pediatric cardiac surgery, associated with increased morbidity and mortality. Objectives We sought to identify risk factors for surgical site infection after pediatric cardiac surgeries. Methods A case-control study included patients aged between 1 year and 19 years and 11 months of age, submitted to cardiac surgery performed at a tertiary cardiac center from January 1 st , 2011, through December 31, 2018. Charts were reviewed for pre-, intra, and postoperative variables. We identified two randomly selected control patients with the same pathophysiological diagnosis and underwent surgery within thirty days of each index case. Univariate and multivariate logistic regression analyses were performed to identify risk factors. Statistical significance was defined as p<0.05. Results Sixty-six cases and 123 controls were included. Surgical site infection incidence ranged from 2% to 3.8%. The following risk factors were identified: Infant age (OR 3.19, 95% CI 1.26 to 8.66, p=0.014), presence of genetic syndrome (OR 6.20, CI 95% 1.70 to 21.65, p=0.004), categories 3 and 4 of RACHS-1 (OR 8.40, CI 95% 3.30 to 21.34, p<0.001), 48 h C-reactive protein level range was detected as a protective factor for this infection (OR 0.85, 95% CI 0.73 to 0.98, p=0.023). Conclusions The risk factors defined in this study could not be modified. Therefore, additional surveillance and new preventive strategies need to be implemented to reduce the incidence of surgical site infection. The increased CRP in the postoperative period was a protective factor that needs further understanding.

Infective Endocarditis due to Non-HACEK Gram-Negative Bacilli: Clinical Characteristics and Risk Factors from a Prospective Multicenter Brazilian Cohort.

Background: Non-HACEK Gram-negative bacilli (NGNB) infective endocarditis (IE) has a growing frequency. We aimed to describe cases of NGNB IE and find associated risk factors. Methods: We conducted a prospective observational study of consecutive patients with definitive IE according to the modified Duke criteria in four institutions in Brazil. Results: Of 1154 adult patients enrolled, 38 (3.29%) had IE due to NGNB. Median age was 57 years, males predominated, accounting for 25/38 (65.8%). Most common etiologies were Pseudomonas aeruginosa and Klebsiella spp. (8 episodes, 21% each). Worsening heart failure occurred in 18/38 (47.4%). Higher prevalence of embolic events was found (55,3%), mostly to the central nervous system 7/38 (18.4%). Vegetations were most commonly on aortic valves 17/38 (44.7%). Recent healthcare exposure was found in 52.6% and a central venous catheter (CVC) in 13/38 (34.2%). Overall mortality was 19/38 (50%). Indwelling CVC (OR 5.93; 95% CI, 1.29 to 27.3; p = 0.017), hemodialysis (OR 16.2; 95% CI, 1.78 to 147; p = 0.008) and chronic kidney disease (OR 4.8; 95% IC, 1.2 to 19.1, p = 0.049) were identified as risk factors for mortality. Conclusions: The rate of IE due to NGNB was similar to that in previous studies. Enterobacterales and P. aeruginosa were the most common etiologies. NGNB IE was associated with central venous catheters, prosthetic valves, intracardiac devices and hemodialysis and had a high mortality rate.

Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management.

BACKGROUND: Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, symptoms and medical prescriptions, could improve patient management/prognosis. METHODS: The aim of this study is to investigate the correlation between drug prescriptions and outcome in patients with COVID-19. We extracted data from 3674 medical records of hospitalized patients: drug prescriptions, outcome, and demographics. The outcome evaluated was hospital outcome. We applied correlation analysis using a Logistic Regression algorithm for machine learning with Lasso and Matthews correlation coefficient. RESULTS: We found correlations between drugs and patient outcomes (death/discharged alive). Anticoagulants, used very frequently during all phases of the disease, were associated with good prognosis only after the first week of symptoms. Antibiotics very frequently prescribed, especially early, were not correlated with outcome, suggesting that bacterial infections may not be important in determining prognosis. There were no differences between age groups. CONCLUSIONS: In conclusion, we achieved an important result in the area of Artificial Intelligence, as we were able to establish a correlation between concrete variables in a real and extremely complex environment of clinical data from COVID-19. Our results are an initial and promising contribution in decision-making and real-time environments to support resource management and forecasting prognosis of patients with COVID-19.

HDL proteome remodeling associates with COVID-19 severity.

BACKGROUND: Besides the well-accepted role in lipid metabolism, high-density lipoprotein (HDL) also seems to participate in host immune response against infectious diseases. OBJECTIVE: We used a quantitative proteomic approach to test the hypothesis that alterations in HDL proteome associate with severity of Coronavirus disease 2019 (COVID-19). METHODS: Based on clinical criteria, subjects (n=41) diagnosed with COVID-19 were divided into two groups: a group of subjects presenting mild symptoms and a second group displaying severe symptoms and requiring hospitalization. Using a proteomic approach, we quantified the levels of 29 proteins in HDL particles derived from these subjects. RESULTS: We showed that the levels of serum amyloid A 1 and 2 (SAA1 and SAA2, respectively), pulmonary surfactant-associated protein B (SFTPB), apolipoprotein F (APOF), and inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4) were increased by more than 50% in hospitalized patients, independently of sex, HDL-C or triglycerides when comparing with subjects presenting only mild symptoms. Altered HDL proteins were able to classify COVID-19 subjects according to the severity of the disease (error rate 4.9%). Moreover, apolipoprotein M (APOM) in HDL was inversely associated with odds of death due to COVID-19 complications (odds ratio [OR] per 1-SD increase in APOM was 0.27, with 95% confidence interval [CI] of 0.07 to 0.72, P=0.007). CONCLUSION: Our results point to a profound inflammatory remodeling of HDL proteome tracking with severity of COVID-19 infection. They also raise the possibility that HDL particles could play an important role in infectious diseases.

Demographic, cardiological, microbiologic, and dental profiles of Brazilian patients who developed oral bacteria-related endocarditis.

OBJECTIVE: Infective endocarditis (IE) may cause devastating complications with high morbidity and mortality rates. The aim of the present study was to study the demographic, cardiological, microbiologic, and dental profiles of patients with oral bacteria-related IE. STUDY DESIGN: We present a retrospective study of patients with oral bacteria-related IE treated at Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de Sao Paulo, Brazil, between January 2009 and December 2019. RESULTS: Of the 100 patients included, 70% were male with a mean age of 45.4 years at diagnosis. The most affected sites were aortic and mitral valves, 60% in prosthetic heart valves, 34% in native valves, and 3% in pacemakers. The most common cause of valvular disease was rheumatic cardiopathy (51.9%), and the most frequent complications were valvular and perivalvular damage (26%). Streptococcus viridans was the most common species (96%), dental caries were present in 57% of the patients, 78% had tooth loss, 45% had apical periodontitis, and 77% were at high/moderate risk for periodontal disease. CONCLUSION: Oral bacteria-related IE among Brazilians was predominant in the prosthetic heart valves of young male adults previously affected by rheumatic cardiopathy. Streptococcus viridans was the main cause of IE, which was linked to patients with a poor oral health status.

Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19.

SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.

The Child Emotion Facial Expression Set: A Database for Emotion Recognition in Children.

Background: This study developed a photo and video database of 4-to-6-year-olds expressing the seven induced and posed universal emotions and a neutral expression. Children participated in photo and video sessions designed to elicit the emotions, and the resulting images were further assessed by independent judges in two rounds. Methods: In the first round, two independent judges (1 and 2), experts in the Facial Action Coding System, firstly analysed 3,668 emotions facial expressions stimuli from 132 children. Both judges reached 100% agreement regarding 1,985 stimuli (124 children), which were then selected for a second round of analysis between judges 3 and 4. Results: The result was 1,985 stimuli (51% of the photographs) were produced from 124 participants (55% girls). A Kappa index of 0.70 and an accuracy of 73% between experts were observed. Lower accuracy was found for emotional expression by 4-year-olds than 6-year-olds. Happiness, disgust and contempt had the highest agreement. After a sub-analysis evaluation of all four judges, 100% agreement was reached for 1,381 stimuli which compound the ChildEFES database with 124 participants (59% girls) and 51% induced photographs. The number of stimuli of each emotion were: 87 for neutrality, 363 for happiness, 170 for disgust, 104 for surprise, 152 for fear, 144 for sadness, 157 for anger 157, and 183 for contempt. Conclusions: The findings show that this photo and video database can facilitate research on the mechanisms involved in early childhood recognition of facial emotions in children, contributing to the understanding of facial emotion recognition deficits which characterise several neurodevelopmental and psychiatric disorders.

Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning.

COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study enrolled 815 patients (442 COVID-19, 350 controls and 23 COVID-19 suspicious) from three Brazilian epicenters from April to July 2020. We were able to elect and identify 19 molecules related to the disease's pathophysiology and several discriminating features to patient's health-related outcomes. The method applied for COVID-19 diagnosis showed specificity >96% and sensitivity >83%, and specificity >80% and sensitivity >85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings with the disease's pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using machine learning algorithms, transforming this screening approach in a tool with great potential for real-world application.

Non-toxigenic Corynebacterium diphtheriae infective endocarditis with embolic events: a case report.

BACKGROUND: Corynebacterium diphtheriae (C. diphtheriae) infections, usually related to upper airways involvement, could be highly invasive. Especially in developing countries, non-toxigenic C. diphtheriae strains are now emerging as cause of invasive disease like endocarditis. The present case stands out for reinforcing the high virulence of this pathogen, demonstrated by the multiple systemic embolism and severe valve deterioration. It also emphasizes the importance of a coordinated interdisciplinary work to address all these challenges related to infectious endocarditis. CASE PRESENTATION: A 21-year-old male cocaine drug abuser presented to the emergency department with a 1-week history of fever, asthenia and dyspnea. His physical examination revealed a mitral systolic murmur, signs of acute arterial occlusion of the left lower limb, severe arterial hypotension and acute respiratory failure, with need of vasoactive drugs, orotracheal intubation/mechanical ventilation, empiric antimicrobial therapy and emergent endovascular treatment. The clinical suspicion of acute infective endocarditis was confirmed by transesophageal echocardiography, demonstrating a large vegetation on the mitral valve associated with severe valvular regurgitation. Abdominal ultrasound was normal with no hepatic, renal, or spleen abscess. Serial blood cultures and thrombus culture, obtained in the vascular procedure, identified non-toxigenic C. diphtheriae, with antibiotic therapy adjustment to monotherapy with ampicillin. Since the patient had a severe septic shock with sustained fever, despite antimicrobial therapy, urgent cardiac surgical intervention was planned. Anatomical findings were compatible with an aggressive endocarditis, requiring mitral valve replacement for a biological prosthesis. During the postoperative period, despite an initial clinical recovery and successfully weaning from mechanical ventilation, the patient presented with a recrudescent daily fever. Computed tomography of the abdomen revealed a hypoattenuating and extensive splenic lesion suggestive of abscess. After sonographically guided bridging percutaneous catheter drainage, surgical splenectomy was performed. Despite left limb revascularization, a forefoot amputation was required due to gangrene. The patient had a good clinical recovery, fulfilling 4-weeks of antimicrobial treatment. CONCLUSION: Despite the effectiveness of toxoid-based vaccines, recent global outbreaks of invasive C. diphtheriae infectious related to non-toxigenic strains have been described. These infectious could be highly invasive as demonstrated in this case. Interdisciplinary work with an institutional "endocarditis team" is essential to achieve favorable clinical outcomes in such defiant scenarios.

Derivation and validation of an early diagnostic score for mediastinitis after cardiothoracic surgery.

OBJECTIVES: The aim of this study was to elaborate on and validate a score for the early diagnosis of mediastinitis after cardiothoracic surgery. METHODS: Between 2007 and 2017, patients who experienced thoracic surgical-site infection after cardiothoracic surgery were enrolled. Laboratory, clinical, and chest CT findings were retrospectively analyzed. Patients were followed up until hospital discharge or intra-hospital death. Univariate and multivariate regression analyses were performed. RESULTS: 950 surgical-site infections were found and analyzed (131 mediastinitis, 819 superficial/deep infections). Of the 131 mediastinitis episodes, 88% required surgical thoracic debridement,Staphylococcus aureus was identified in 43%, and overall mortality was 42%. The following variables were related to mediastinitis diagnosis: sternal diastasis (OR=2.5; 95% confidence interval [95%CI]: 1.2-5.3; P=0.012), bilateral pleural effusion (OR=1.9; 95%CI: 1.0-3.6; P=0.04), leukocyte count ≥14,000cells/mm3 (OR=2.5; 95%CI: 1.3-4.7; P=0.006), male sex (OR=2; 95%CI: 1.11-4; P=0.022), and positive blood culture (OR=3.0; 95%CI: 1.6-5.6; P=0.001). The score predicted with reasonable accuracy mediastinitis in the derivation cohort (AUC-ROC, 0.7476) and the validation cohort (AUC-ROC, 0.7149). Groups with high (31%) and low (5%) risk of mediastinitis were identified. CONCLUSIONS: An early diagnostic score in patients with surgical-site infection after cardiothoracic surgery identified groups with a low and high risk for mediastinitis.

The effect of a rapid molecular blood test on the use of antibiotics for nosocomial sepsis: a randomized clinical trial.

BACKGROUND: Appropriate use of antimicrobials is essential to improve outcomes in sepsis. The aim of this study was to determine whether the use of a rapid molecular blood test-SeptiFast (SF) reduces the antibiotic consumption through early de-escalation in patients with nosocomial sepsis compared with conventional blood cultures (BCs). METHODS: This was a prospective, randomized, superiority, controlled trial conducted at Sao Paulo Heart Institute in the period October 2012-May 2016. Adult patients admitted to the hospital for at least 48 h with a diagnosis of nosocomial sepsis underwent microorganism identification by both SF test and BCs. Patients randomized into the intervention group received antibiotic therapy adjustment according to the results of SF. Patients randomized into the control group received standard antibiotic adjustment according to the results of BCs. The primary endpoint was antimicrobial consumption during the first 14 days after randomization. RESULTS: A total of 200 patients were included (100 in each group). The intention to treat analysis found no significant differences in median antibiotic consumption. In the subgroup of patients with positive SF and blood cultures (19 and 25 respectively), we found a statistically significant reduction in the median antimicrobial consumption which was 1429 (1071-2000) days of therapy (DOT)/1000 patients-day in the intervention group and 1889 (1357-2563) DOT/1000 patients-day in the control group (p = 0.017), in the median time of antimicrobial de-escalation (8 versus 54 h-p < 0.001), in the duration of antimicrobial therapy (p = 0.039) and in anti-gram-positive antimicrobial costs (p = 0.002). Microorganism identification was possible in 24.5% of patients (45/184) by SF and 21.2% (39/184) by BC (p = 0.45). CONCLUSION: This randomized clinical trial showed that the use of a rapid molecular-based pathogen identification test does not reduce the median antibiotic consumption in nosocomial sepsis. However, in patients with positive microbiological tests, the use of SeptiFast reduced antimicrobial consumption through early de-escalation compared to conventional blood cultures. These results were driven by a reduction in the consumption of antimicrobials used for Gram-positive bacteria. TRIAL REGISTRATION: The trial was registered at ClinicalTrials.gov (NCT01450358) on 12th October 2011.

Outcomes in patients with fungal endocarditis: A multicenter observational cohort study.

OBJECTIVE: To compare the clinical and epidemiological features, treatments, and outcomes of patients with isolated right-sided and left-sided fungal endocarditis and to determine the risk factors for in-hospital mortality in patients with Candida sp endocarditis. METHODS: A retrospective review of all consecutive cases of fungal endocarditis from five hospitals was performed. Clinical features were compared between patients with isolated right-sided and left-sided endocarditis. In the subgroup of fungal endocarditis due to Candida species, binary logistic regression analysis was performed to determine variables related to in-hospital mortality. RESULTS: Seventy-eight patients with fungal endocarditis were studied. Their median age was 50 years; 55% were male and 19 patients (24%) had isolated right-sided endocarditis. Overall, cardiac surgery was performed in 46 patients (59%), and in-hospital mortality was 54%. Compared to patients with left-side fungal endocarditis, patients with isolated right-sided endocarditis had lower mortality (32% vs. 61%; p=0.025) and were less often submitted to cardiac surgery (37% vs. 66%; p=0.024). The most frequent etiology was Candida spp (85%). In this subgroup, acute heart failure (odds ratio 5.0; p=0.027) and exclusive medical treatment (odds ratio 11.1; p=0.004) were independent predictors of in-hospital death, whereas isolated right-sided endocarditis was related to a lower risk of mortality (odds ratio 0.13; p=0.023). CONCLUSIONS: Patients with isolated right-sided fungal endocarditis have particular clinical and epidemiological features. They were submitted to cardiac surgery less often and had better survival than patients with left-sided fungal endocarditis. Isolated right-sided endocarditis was also a marker of a less harmful illness in the subgroup of Candida sp endocarditis.

Early-onset prosthetic valve endocarditis definition revisited: Prospective study and literature review.

OBJECTIVE: To determine the annual incidence of prosthetic valve endocarditis (PVE) and to evaluate its current classification based on the epidemiological distribution of agents identified and their sensitivity profiles. METHODS: Consecutive cases of PVE occurring within the first year of valve surgery during the period 1997-2014 were included in this prospective cohort study. Incidence, demographic, clinical, microbiological, and in-hospital mortality data of these PVE patients were recorded. RESULTS: One hundred and seventy-two cases of PVE were included, and the global annual incidence of PVE was 1.7%. Most PVE cases occurred within 120days after surgery (76.7%). After this period, there was a reduction in resistant microorganisms (64.4% vs. 32.3%, respectively; p=0.007) and an increase in the incidence of Streptococcus spp (1.9% vs. 23.5%; p=0.007). A literature review revealed 646 cases of PVE with an identified etiology, of which 264 (41%) were caused by coagulase-negative staphylococci and 43 (7%) by Streptococcus spp. This is in agreement with the current study findings. CONCLUSIONS: Most PVE cases occurred within 120days after valve surgery, and the same etiological agents were identified in this period. The current cut-off level of 365days for the classification of early-onset PVE should be revisited.