Plasminogen activator inhibitor-1 deficiency augments visceral mesothelial organization, intrapleural coagulation, and lung restriction in mice with carbon black/bleomycin-induced pleural injury.

Local derangements of fibrin turnover and plasminogen activator inhibitor (PAI)-1 have been implicated in the pathogenesis of pleural injury. However, their role in the control of pleural organization has been unclear. We found that a C57Bl/6j mouse model of carbon black/bleomycin (CBB) injury demonstrates pleural organization resulting in pleural rind formation (14 d). In transgenic mice overexpressing human PAI-1, intrapleural fibrin deposition was increased, but visceral pleural thickness, lung volumes, and compliance were comparable to wild type. CBB injury in PAI-1(-/-) mice significantly increased visceral pleural thickness (P < 0.001), elastance (P < 0.05), and total lung resistance (P < 0.05), while decreasing lung compliance (P < 0.01) and lung volumes (P < 0.05). Collagen, α-smooth muscle actin, and tissue factor were increased in the thickened visceral pleura of PAI-1(-/-) mice. Colocalization of α-smooth muscle actin and calretinin within pleural mesothelial cells was increased in CBB-injured PAI-1(-/-) mice. Thrombin, factor Xa, plasmin, and urokinase induced mesothelial-mesenchymal transition, tissue factor expression, and activity in primary human pleural mesothelial cells. In PAI-1(-/-) mice, D-dimer and thrombin-antithrombin complex concentrations were increased in pleural lavage fluids. The results demonstrate that PAI-1 regulates CBB-induced pleural injury severity via unrestricted fibrinolysis and cross-talk with coagulation proteases. Whereas overexpression of PAI-1 augments intrapleural fibrin deposition, PAI-1 deficiency promotes profibrogenic alterations of the mesothelium that exacerbate pleural organization and lung restriction.

Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model.

OBJECTIVES: We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of critical outcomes. METHODS: We used data from the SEMI-COVID-19 Registry, a cohort of consecutive patients hospitalized for COVID-19 from 132 centres in Spain (23rd March to 21st May 2020). For the development cohort, tertiary referral hospitals were selected, while the validation cohort included smaller hospitals. The primary outcome was a composite of in-hospital death, mechanical ventilation, or admission to intensive care unit. Clinical signs and symptoms, demographics, and medical history ascertained at presentation were screened using least absolute shrinkage and selection operator, and logistic regression was used to construct the predictive model. RESULTS: There were 10 433 patients, 7850 in the development cohort (primary outcome 25.1%, 1967/7850) and 2583 in the validation cohort (outcome 27.0%, 698/2583). The PRIORITY model included: age, dependency, cardiovascular disease, chronic kidney disease, dyspnoea, tachypnoea, confusion, systolic blood pressure, and SpO2 ≤93% or oxygen requirement. The model showed high discrimination for critical illness in both the development (C-statistic 0.823; 95% confidence interval (CI) 0.813, 0.834) and validation (C-statistic 0.794; 95%CI 0.775, 0.813) cohorts. A freely available web-based calculator was developed based on this model (https://www.evidencio.com/models/show/2344). CONCLUSIONS: The PRIORITY model, based on easily obtained clinical information, had good discrimination and generalizability for identifying COVID-19 patients at risk of critical outcomes.

Drug-Induced Kidney Disease Associated With Selected Antibiotics.

Structural and functional degeneration of the kidneys occur as the human body ages, making oler people especially susceptible to the consequences of acute kidney injury. Furthermore, the use of nephrotoxic agents, combined with the increased incidence of acute kidney injury and likelihood of an intensive-care unit admission, makes geriatric patients prone to develop drug-induced kidney disease. Vancomycin is routinely used as the first-line treatment for methicillin-resistant Staphylococcus aureus, but is known to be nephrotoxic; studies have shown that an early switch from vancomycin to alternatives does not necessarily prevent renal insult. Therefore, we aim to discuss the mechanisms of drug-induced kidney disease with regard to vancomycin, daptomycin, and ceftaroline and to provide insight as to their safety profiles with regard to older people. A clear understanding of this topic will aid clinicians in selecting drug therapy and may lead to shortened hospital stays, lower hospital costs, and improved outcomes of critically ill older people.