[Utility of probability scores for the diagnosis of pulmonary embolism in patients with SARS-CoV-2 infection: A systematic review]. / Utilidad de las escalas de predicción diagnósticas de embolia de pulmón en pacientes con infección por SARS-CoV-2: una revisión sistemática.

Background and objective: Clinical prediction models determine the pre-test probability of pulmonary embolism (PE) and assess the need for tests for these patients. Coronavirus infection is associated with a greater risk of PE, increasing its severity and conferring a worse prognosis. The pathogenesis of PE appears to be different in patients with and without SARS-CoV-2 infection. This systematic review aims to discover the utility of probability models developed for PE in patients with COVID-19 by reviewing the available literature. Methods: A literature search on the PubMed, Scopus, and EMBASE databases was carried out. All studies that reported data on the use of clinical prediction models for PE in patients with COVID-19 were included. Study quality was assessed using the Newcastle-Ottawa scale for non-randomized studies. Results: Thirteen studies that evaluated five prediction models (Wells score, Geneva score, YEARS algorithm, and PERC and PEGeD clinical decision rules) were included. The different scales were used in 1,187 patients with COVID-19. Overall, the models showed limited predictive ability. The two-level Wells score with low (or unlikely) clinical probability in combination with a D-dimer level < 3000 ng/mL or a normal bedside lung ultrasound showed an adequate correlation for ruling out PE. Conclusions: Our systematic review suggests that the clinical prediction models available for PE that were developed in the general population are not applicable to patients with COVID-19. Therefore, their use is in clinical practice as the only diagnostic screening tool is not recommended. New clinical probability models for PE that are validated in these patients are needed.

Utility of probability scores for the diagnosis of pulmonary embolism in patients with SARS-CoV-2 infection: A systematic review.

BACKGROUND AND OBJECTIVE: Clinical prediction models determine the pre-test probability of pulmonary embolism (PE) and assess the need for tests for these patients. Coronavirus infection is associated with a greater risk of PE, increasing its severity and conferring a worse prognosis. The pathogenesis of PE appears to be different in patients with and without SARS-CoV-2 infection. This systematic review aims to discover the utility of probability models developed for PE in patients with COVID-19 by reviewing the available literature. METHODS: A literature search on the PubMed, Scopus, and EMBASE databases was carried out. All studies that reported data on the use of clinical prediction models for PE in patients with COVID-19 were included. Study quality was assessed using the Newcastle-Ottawa scale for non-randomized studies. RESULTS: Thirteen studies that evaluated five prediction models (Wells score, Geneva score, YEARS algorithm, and PERC and PEGeD clinical decision rules) were included. The different scales were used in 1,187 patients with COVID-19. Overall, the models showed limited predictive ability. The two-level Wells score with low (or unlikely) clinical probability in combination with a D-dimer level <3000ng/mL or a normal bedside lung ultrasound showed an adequate correlation for ruling out PE. CONCLUSIONS: Our systematic review suggests that the clinical prediction models available for PE that were developed in the general population are not applicable to patients with COVID-19. Therefore, their use is in clinical practice as the only diagnostic screening tool is not recommended. New clinical probability models for PE that are validated in these patients are needed.

Recurrence risk of idiopathic venous thromboembolism. / Riesgo de recurrencia en el tromboembolismo venoso idiopático.

For patients with idiopathic venous thromboembolism (unprovoked), the risk of recurrence is high. Secondary prophylaxis with anticoagulant therapy reduces the thrombotic risk but at the expense of an increased risk of haemorrhage. A number of factors, such as the male sex and an increase in dimer-D concentrations after completing the anticoagulation therapy, are associated with an increased risk of recurrence. Other factors such as residual venous thrombosis have a more controversial and sometimes contradictory relationship. A number of models have been proposed for predicting thrombotic recurrence risk after anticoagulation therapy in unprovoked TVD. However, these models need external validation to determine their current usefulness in clinical practice. In this article, we analyse the risk factors for thrombotic recurrence and the existing prediction models.

A risk score for prediction of recurrence in patients with unprovoked venous thromboembolism (DAMOVES).

BACKGROUND: In patients with unprovoked venous thromboembolism (VTE), the optimal duration of anticoagulation is anchored on estimating the risk of disease recurrence. We aimed to develop a simple risk assessment model that improves prediction of the recurrence risk. METHODS: In a prospective cohort study, 398 patients with a first unprovoked VTE were followed up for a median of 21.3months after discontinuation of anticoagulation. We excluded patients with a strong thrombophilic defect. Preselected clinical and laboratory variables were analyzed based on the independent confirmation of the impact on the recurrence risk, simplicity of assessment, and reproducibility. Multivariable Cox regression analysis was used to develop a recurrence score that was subsequently internally validated by bootstrap analysis. RESULTS: A total of 65 patients (16.3%) had recurrent VTE. In all patients, VTE recurred spontaneously. Male sex (HR=2.89 [95% CI 1.21-6.90] P=0.016), age (HR=1.0310 per additional decade [95% CI 1.01-1.07] P=0.011), obesity (HR=3.92 [95% CI 1.75-8.75] P=0.0001), varicose veins (HR=4.14 [95% CI 1.81-9.43] P=0.0001), abnormal D-dimer during anticoagulation (HR=13.66 [95% CI 4.74-39.37] P=0.0001), high factor VIII coagulant activity (HR=1.01 [95% CI 1.00-1.02] P=0.028) and heterozygous of factor V Leiden and/or Prothrombin G20210A mutation (HR=13.86 [95% CI 5.87-32.75] P=0.0001) were related to a higher recurrence risk. Using these variables, we developed a nomogram [hereafter referred to as DAMOVES score (D-dimer, Age, Mutation, Obesity, Varicose veins, Eight, Sex)] for prediction of recurrence in an individual patient. CONCLUSIONS: The DAMOVES score can be used to predict recurrence risk in patients with a first unprovoked VTE and may be useful to decide whether anticoagulant therapy should be continued indefinitely or stopped after an initial treatment period of at least 3months.

[Study on bacteremia in the service of Internal Medicine of a group 2 hospital. Analysis of recent three years]. / Estudio de las bacteriemias en el Servicio de Medicina Interna de un hospital de grupo 2. Análisis de los tres últimos años.

INTRODUCTION: Bacteremia remains one of the most relevant problems in infectious disease. The interest of this study was to know the presentation and development pattern of bacteremia in our environment, in order to best prevent and treat this entity. PATIENTS AND METHOD: A retrospective, no interventional study, on significant bacteremia detected in the Service of Internal Medicine of a secondary level hospital over three years was carried out. Through the study length, from January 1 2001 until December 31 2003, 4,719 blood cultures were processed by the Service of Microbiology; of these, 1964 (41.6%) were submitted by the Service of Internal Medicine. Results were positive in 336 (17.1%); of these, 18 (24.1%) correlated with episodes of true bacteremia, and 255 (75.9%) were deemed as contaminations. RESULTS: Overall, 81 episodes of true bacteremia were studied, from 77 patients (4 patients presented with 2 episodes). An incidence rate of 28.25 episodes per 1000 hospital admissions was estimated. Mean age was 72 years (95% CI: 68.62-75.38). Males over 60 years-old were predominant (51.9%). Bacteremia was community-acquired in 75.3% of cases, and nosocomial in 24.7%. Commonest baseline diseases were elevated arterial blood pressure and diabetes mellitus. Bacteremia development was mostly related to genitourinary and vascular handling. Most of them were nephrourological (42.0%), respiratory (19.8%) and abdominal (13.6%) in origin. In our environment, Escherichia coli (33.0%) and Staphylococcus coagulase-negative (15.9%) were the most commonly isolated pathogens. Empiric antibiotic therapy was correct in 86.2% of cases; third generation cephalosporins were the most used. Overall mortality rate was 16% (13 patients), and bacteraemia-related mortality was 61%. CONCLUSIONS: A high incidence of bacteremia episodes is noteworthy, as compared with series from other centers. The percentage of episodes due to Staphylococcus coagulase-negative was significant, as it is the rule in recent years; thus, a thoroughly assessment of potential contaminants, as well as staff training in extraction techniques becomes necessary.