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BACKGROUND: The clinical picture of coronavirus disease 2019 (COVID-19)-associated sepsis is similar to that of sepsis of other aetiologies. The present study aims to analyse the role of syndecan-1 (SDC-1) as a potential predictor of septic shock in critically ill patients with COVID-19. METHODS: This is a prospective study of 86 critically ill patients due to COVID-19 infection. Patients were followed until day 28 of hospitalization. Vascular biomarkers, such as vascular cell adhesion protein-1, SDC-1, angiopoietin-1 and angiopoietin-2, were quantified upon admission and associated with the need for vasopressors in the first 7 d of hospitalization. RESULTS: A total of 86 patients with COVID-19 (mean age 60±16 y; 51 men [59%]) were evaluated. Thirty-six (42%) patients died during hospitalization and 50 (58%) survived. The group receiving vasopressors had higher levels of D-dimer (2.46 ng/ml [interquartile range {IQR} 0.6-6.1] vs 1.01 ng/ml [IQR 0.62-2.6], p=0.019) and lactate dehydrogenase (929±382 U/l vs 766±312 U/l, p=0.048). The frequency of deaths during hospitalization was higher in the group that received vasoactive amines in the first 24 h in the intensive care unit (70% vs 30%, p=0.002). SDC-1 levels were independently associated with the need for vasoactive amines, and admission values >269 ng/ml (95% CI 0.524 to 0.758, p=0.024) were able to predict the need for vasopressors during the 7 d following admission. CONCLUSIONS: Syndecan-1 levels predict septic shock in critically ill patients with COVID-19.

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INTRODUCTION: The aim of this was to evaluate the function of vascular biomarkers to predict the need for hemodialysis in critically ill patients with COVID-19. METHODS: This is a prospective study with 58 critically ill patients due to COVID-19 infection. Laboratory tests in general and vascular biomarkers, such as VCAM-1, syndecan-1, angiopoietin-1, and angiopoietin-2, were quantified on intensive care unit (ICU) admission. RESULTS: There was a 40% death rate. VCAM and Ang-2/Ang-1 ratio on ICU admission were associated with the need for hemodialysis. Vascular biomarkers (VCAM-1, syndecan-1, angiopoietin-2/angiopoietin-1 ratio) were predictors of death and their cutoff values were useful to stratify patients with a worse prognosis. In the multivariate cox regression analysis with adjusted models, VCAM-1 (OR 1.13 [CI 95%: 1.01-1.27]; p = 0.034) and Ang-2/Ang-1 ratio (OR 4.87 [CI 95%: 1.732-13.719]; p = 0.003) were associated with the need for dialysis. CONCLUSION: Vascular biomarkers, mostly VCAM-1 and Ang-2/Ang-1 ratio, showed better efficiency to predict the need for hemodialysis in critically ill COVID-19 patients.

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ABSTRACT Introduction: Supplementation with probiotics for patients with chronic kidney disease (CKD) may be associated with decreased systemic inflammation. Objective: To assess the impact of oral supplementation with probiotics for patients with CKD on hemodialysis. Method: This double-blind randomized clinical trial included 70 patients on hemodialysis; 32 were given oral supplementation with probiotics and 38 were in the placebo group. Blood samples were collected at the start of the study and patients were given oral supplementation with probiotics or placebo for three months. The probiotic supplement comprised four strains of encapsulated Gram-positive bacteria: Lactobacillus Plantarum A87, Lactobacillus rhamnosus, Bifidobacterium bifidum A218 and Bifidobacterium longum A101. Patients were given one capsule per day for 3 months. Blood samples were taken throughout the study to check for inflammatory biomarkers. Non-traditional biomarkers Syndecan-1, IFN-y, NGAL, and cystatin C were measured using an ELISA kit, along with biochemical parameters CRP, calcium, phosphorus, potassium, PTH, GPT, hematocrit, hemoglobin, glucose, and urea. Results: Patients given supplementation with probiotics had significant decreases in serum levels of syndecan-1 (239 ± 113 to 184 ± 106 ng/mL, p = 0.005); blood glucose levels also decreased significantly (162 ± 112 to 146 ± 74 mg/dL, p = 0.02). Conclusion: Administration of probiotics to patients with advanced CKD was associated with decreases in syndecan-1 and blood glucose levels, indicating potential improvements in metabolism and decreased systemic inflammation.

Resumo Introdução: A suplementação com probióticos na doença renal crônica (DRC) pode estar associada à redução do processo inflamatório sistêmico. Objetivo: Avaliar a suplementação oral com probióticos em pacientes com DRC em hemodiálise. Método: Ensaio clínico, duplo cego, randomizado com 70 pacientes em hemodiálise, sendo 32 do grupo que recebeu o suplemento de probióticos e 38 do grupo placebo. Inicialmente ocorreu a coleta de sangue e suplementação oral com probióticos ou placebo durante três meses. O suplemento probiótico foi composto pela combinação de 4 cepas de bactérias Gram-positivas encapsuladas: Lactobacillus Plantarum A87, Lactobacillus rhamnosus, Bifidobacterium bifidum A218 e Bifidobacterium longum A101, sendo 1 cápsula do suplemento ao dia, durante 3 meses. Após esse período foram feitas novas coletas de sangue para dosagem dos biomarcadores inflamatórios. Foram analisados os biomarcadores não tradicionais: Syndecan-1, IFN-y, NGAL e cistatina C pelo método ELISA, e os seguintes parâmetros bioquímicos: PCR, cálcio, fósforo, potássio, PTH, TGP, hematócrito, hemoglobina, glicose e ureia. Resultados: Os pacientes que receberam suplemento tiveram diminuição significativa dos níveis séricos de syndecan-1 (de 239 ± 113 para 184 ± 106 ng/mL, p = 0,005). Outro parâmetro que diminuiu significativamente nos pacientes que receberam suplemento foi a glicemia (de 162 ± 112 para 146 ± 74 mg/dL, p = 0,02). Conclusão: O uso de probióticos na DRC avançada esteve associado à redução dos níveis de syndecan-1 e glicemia, sinalizando possível melhora no metabolismo e redução do processo inflamatório sistêmico.

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Predicting risk factors for death in leptospirosis is challenging, and identifying high-risk patients is crucial as it might expedite the start of life-saving supportive care. Admission data of 295 leptospirosis patients were enrolled, and a machine-learning approach was used to fit models in a derivation cohort. The comparison of accuracy metrics was performed with two previous models-SPIRO score and quick SOFA score. A Lasso regression analysis was the selected model, demonstrating the best accuracy to predict mortality in leptospirosis [area under the curve (AUC-ROC) = 0.776]. A score-based prediction was carried out with the coefficients of this model and named LeptoScore. Then, to simplify the predictive tool, a new score was built by attributing points to the predictors with importance values higher than 1. The simplified score, named QuickLepto, has five variables (age > 40 years; lethargy; pulmonary symptom; mean arterial pressure < 80 mmHg and hematocrit < 30%) and good predictive accuracy (AUC-ROC = 0.788). LeptoScore and QuickLepto had better accuracy to predict mortality in patients with leptospirosis when compared to SPIRO score (AUC-ROC = 0.500) and quick SOFA score (AUC-ROC = 0.782). The main result is a new scoring system, the QuickLepto, that is a simple and useful tool to predict death in leptospirosis patients at hospital admission.

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Background: Biomarkers can help understand the impact of achieving therapeutic goals in developing vascular diseases in diabetics. Aim: To assess the association between lipid and glycemic profiles and endothelial biomarkers in diabetics. Methods: Cross-sectional study that evaluated lipid and glycemic levels and biomarkers (VCAM-1, Sdc-1, FGF-23 and KIM-1 in diabetics. Results: Higher VCAM-1 levels were associated with higher low-density lipoprotein cholesterol and non-high-density lipoprotein (HDL) cholesterol levels (in the group with inadequate glycohemoglobin A1c [HbA1c] levels), with higher glycemic levels (in the group with inadequate HDL cholesterol levels) and with lower HDL cholesterol levels (both groups). VCAM-1 was independently associated with not achieving adequate HbA1c levels. Conclusion: In uncontrolled diabetics, VCAM-1 was independently associated with having inadequate HbA1c levels, suggesting they may already have endothelial damage.

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OBJECTIVE: To investigate the prediction ability of vascular injury biomarkers for haemodialysis requirement in patients with severe leptospirosis. METHODS: Prospective study with severe leptospirosis patients hospitalised in Fortaleza, Brazil. Blood samples were collected hospital admission to quantify vascular injury biomarkers: syndecan-1, ICAM-1, VCAM-1, angiopoietin-2 and FGF-23. Two groups were evaluated according to haemodialysis requirement during hospital stay. RESULTS: Twenty-seven patients were included, with a mean age of 39 ± 18 years. 88.9% were males. 53.8% needed haemodialysis and presented higher levels on hospital admission of syndecan-1 (572 [300-811] vs. 263 [106-421] ng/ml; p = 0.03), angiopoietin-2 (1.52 [0.72-2.72] vs. 0.63 [0.4-1.38] ng/ml; p = 0.01), and FGF-23 (291 [56-2031] vs. 10 [10-806] pg/ml; p = 0.021). Syndecan-1 showed significant correlation with creatinine (r = 0.546; p = 0.05) and total bilirubin levels (r = 0.534; p = 0.013) on hospital admission. Angiopoietin-2 showed significant correlation with creatinine levels (r = 0.513; p = 0.009) on hospital admission and with number of haemodialysis sessions (r = 0.406; p = 0.049). No significant correlation was found with FGF-23. Regarding prognostic performance, combined syndecan-1 and angiopoietin-2 levels had a better ability to predict haemodialysis need in patients with severe leptospirosis (AUC-ROC = 0.744 [95% CI: 0.545-0.943] p = 0.035). CONCLUSION: Syndecan-1 and angiopoietin-2 were associated with haemodialysis need in patients with severe leptospirosis and may be useful to improve therapeutic approach and reduce mortality.

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OBJECTIVE: To investigate risk factors for mortality in dengue. METHODS: We performed a systematic review and meta-analysis searching MEDLINE, Embase, SciELO, LILACS Bireme, and OpenGrey databases to identify eligible observational studies of patients with dengue, of both genders, aged 14 years or older, that analysed risk factors associated with mortality and reported adjusted risk measures with their respective confidence intervals (CIs). We estimated the pooled weighted mean difference and 95% CIs with a DerSimonian and Laird random-effects model. We assessed the methodological quality using the Newcastle-Ottawa Scale. RESULTS: Of 1,170 citations reviewed, 18 papers, with a total of 25,851 patients, were included in the systematic review and 12 in the meta-analysis. Severe hepatitis (OR 29.222, 95% CI 3.876-220.314), dengue shock syndrome (OR 23.575, 95% CI 3.664-151.702), altered mental status (OR 3.76, 95% CI 1.67-8.42), diabetes mellitus (OR 3.698, 95% CI 1.196-11.433), and higher pulse rate (OR 1.039, 95% CI 1.011-1.067) are associated with mortality in patients with dengue. All studies included were classified as having a high quality. CONCLUSIONS: Proper identification and management of these risk factors should be considered to improve patient outcomes and reduce the hidden burden of this neglected tropical disease. Future well-designed studies are needed to investigate the association of other clinical, radiological, and laboratorial findings with mortality in dengue, as well as to develop prognostic models based on the risk factors found in our study.

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BACKGROUND: The Simplified Acute Physiology Score (SAPS) 3 is a reliable score to predict mortality. This study aims to investigate the predictive values of SAPS 3 and other clinical parameters for death in critically ill coronavirus disease 2019 (COVID-19) patients. METHODS: This is a prospective study in a tertiary hospital for patients who required intensive care due to COVID-19 infection in northeast Brazil. Two distinct groups were constructed according to the epidemiological data: first wave and second wave. The severity of patients admitted was estimated using the SAPS 3 score. RESULTS: A total of 767 patients were included: 290 were enrolled in the first wave and 477 in the second wave. Patients in the first wave had more comorbidities, were put on mechanical ventilation and required dialysis and vasopressors more frequently (p<0.05). During the second wave, non-invasive ventilation was more often required (p<0.05). In both periods, older patients and higher SAPS 3 scores on admission were associated with death (p<0.05). Non-invasive ventilation use showed a negative association with death only in the second wave period. In the first wave, the SAPS 3 score was more useful (area under the curve [AUC] 0.897) in predicting death in critically ill COVID-19 patients than in the second wave (AUC 0.810). CONCLUSION: The SAPS 3 showed very reliable predictive values for death during the waves of the COVID-19 pandemic, mostly together with kidney and pulmonary dysfunction.

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Parasitic agents have been known to cause human disease since ancient times and are endemic in tropical and subtropical regions. Complications of parasitic diseases, including kidney involvement, are associated with worse outcomes. Chagas disease, filariasis, leishmaniasis, malaria and schistosomiasis are important parasitic diseases that can damage the kidney. These diseases affect millions of people worldwide, primarily in Africa, Asia and Latin America, and kidney involvement is associated with increased mortality. The most common kidney complications of parasitic diseases are acute kidney injury, glomerulonephritis and tubular dysfunction. The mechanisms that underlie parasitic disease-associated kidney injury include direct parasite damage; immunological phenomena, including immune complex deposition and inflammation; and systemic manifestations such as haemolysis, haemorrhage and rhabdomyolysis. In addition, use of nephrotoxic drugs to treat parasitic infections is associated with acute kidney injury. Early diagnosis of kidney involvement and adequate management is crucial to prevent progression of kidney disease and optimize patient recovery.

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