Pulmonary Embolism During Pregnancy: An Updated Review With Case Series Description.

Pulmonary embolism (PE) is a potentially life-threatening condition that can occur during pregnancy and pose a significant risk to the mother and the developing fetus. It is a major contributor to pregnancy-related morbidity and mortality in any trimester. It is estimated that the incidence of PE during pregnancy is approximately 1 in 1000 pregnancies. The mortality rate for pregnant women with PE is about 3%, significantly higher than that for nonpregnant women with PE. Overall, the topic of PE and pregnancy is essential for healthcare professionals to be aware of the risks, signs, and treatment options to improve outcomes and ensure the best possible care for both the mother and the developing fetus. To prevent the fatal condition, the physician is encouraged when there is a suspicion of the pathology. This report presents an updated comprehensive review of PE during pregnancy, discussing critical aspects of the clinical and imaging diagnosis, use of heparin, thrombolysis, and prevention. We believe this article will be helpful for cardiologists, obstetricians, and other health-related professionals.

Acute Pulmonary Embolism Code and Rapid Response Teams are Necessary: A Review of Global and Mexico's Teams (MGH PERT).

Pulmonary embolism (PE) worldwide is an underdiagnosed disease; at the moment, there are no statistical data to make inferences regarding the thrombotic problem in Mexico. Although, in general, small emboli (subsegmental) are well tolerated in the pulmonary circulation, difficulties frequently occur for medium to large emboli that occlude more than 30% of the pulmonary circulation. In the United States, it is estimated that up to 100,000 PE-related deaths occur each year. A PE code consists of activating a group of specialists in PE for the consensual making of therapeutic decisions; it is beneficial for the clinical evolution of these patients and reduces their mortality; a PE response team (PERT) codes in reference hospitals to manage this disease. This report presents an updated summary of the PERT status globally and in Mexico, the explanation of why a PE code is necessary, and the effects of PERT teams in the detection (chronic thromboembolic pulmonary hypertension, chronic thromboembolic disease, and venous thromboembolism); therapeutic procedures (catheter-directed thrombolysis, systemic thrombolysis or surgical thrombectomy); selection of patients from low to high risk of PE; and future directions for PERT teams.

The Age-AST-D Dimer (AAD) Regression Model Predicts Severe COVID-19 Disease.

AIM: Coronavirus disease (COVID-19) ranges from mild clinical phenotypes to life-threatening conditions like severe acute respiratory syndrome (SARS). It has been suggested that early liver injury in these patients could be a risk factor for poor outcome. We aimed to identify early biochemical predictive factors related to severe disease development with intensive care requirements in patients with COVID-19. METHODS: Data from COVID-19 patients were collected at admission time to our hospital. Differential biochemical factors were identified between seriously ill patients requiring intensive care unit (ICU) admission (ICU patients) versus stable patients without the need for ICU admission (non-ICU patients). Multiple linear regression was applied, then a predictive model of severity called Age-AST-D dimer (AAD) was constructed (n = 166) and validated (n = 170). RESULTS: Derivation cohort: from 166 patients included, there were 27 (16.3%) ICU patients that showed higher levels of liver injury markers (P < 0.01) compared with non-ICU patients: alanine aminotrasnferase (ALT) 225.4 ± 341.2 vs. 41.3 ± 41.1, aspartate aminotransferase (AST) 325.3 ± 382.4 vs. 52.8 ± 47.1, lactic dehydrogenase (LDH) 764.6 ± 401.9 vs. 461.0 ± 185.6, D-dimer (DD) 7765 ± 9109 vs. 1871 ± 4146, and age 58.6 ± 12.7 vs. 49.1 ± 12.8. With these finding, a model called Age-AST-DD (AAD), with a cut-point of <2.75 (sensitivity = 0.797 and specificity = 0.391, c - statistic = 0.74; 95%IC: 0.62-0.86, P < 0.001), to predict the risk of need admission to ICU (OR = 5.8; 95% CI: 2.2-15.4, P = 0.001), was constructed. Validation cohort: in 170 different patients, the AAD model < 2.75 (c - statistic = 0.80 (95% CI: 0.70-0.91, P < 0.001) adequately predicted the risk (OR = 8.8, 95% CI: 3.4-22.6, P < 0.001) to be admitted in the ICU (27 patients, 15.95%). CONCLUSIONS: The elevation of AST (a possible marker of early liver injury) along with DD and age efficiently predict early (at admission time) probability of ICU admission during the clinical course of COVID-19. The AAD model can improve the comprehensive management of COVID-19 patients, and it could be useful as a triage tool to early classify patients with a high risk of developing a severe clinical course of the disease.