ABSTRACT
INTRODUCTION: distal biceps tendon injury commonly occurs in male patients between the fifth and sixth decade of life. The mechanism of the injury is an eccentric contraction with the elbow in flexion of 90 degrees. For its surgical treatment, several options have been described in the literature with different approaches, type of suture to be used and various methods of fixing the repair of the distal biceps tendon. The musculoskeletal clinical manifestations of COVID-19 are fatigue, myalgia, arthralgia, but the musculoskeletal effects of COVID-19 remain unclear. CASE REPORT: 46-year-old COVID-19 positive male patient with acute distal biceps tendon injury and secondary to minimal trauma, with no other risk factors. The patient was treated surgically following orthopedic and safety guidelines for the patient and medical staff due to the COVID-19 pandemic. The surgical procedure of the double tension slide (DTS) technique with a single incision in a reliable option and our case of a low morbidity, few complications and a good cosmetic option. CONCLUSION: the management of orthopedic pathologies in COVID-19 positive patients is increasing as well as the ethical and orthopedic implications of the management of these injuries and/or the delay of their care during the pandemic.
ABSTRACT
This paper has two main objectives. The first one is to present a new dynamic model that describes, with adequate precision, the temporal behavior of the coronavirus epidemic that currently occurs in Brazil. Every day, the number of new infections provided by the Brazilian Ministry of Health is taken into account. Thus, an assessment of the impact of social behavior on the evolution of the epidemic can also be made. The second objective is to analyze the need to develop a computational system, capable of simulating—with the Monte Carlo method—the dynamic behavior of epidemics allowing each individual to move through locations with different population densities. © 2022, Springer Nature Switzerland AG.
ABSTRACT
SESSION TITLE: Critical Care Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: October 18-21, 2020 PURPOSE: Multiple metrics like SOFA score, APACHE II, AND SAPS III have been validated to predict mortality in critically ill patients. However, there is limited data about the applicability and validation of the SOFA score in critically ill patients with COVID-19 METHODS: This is a retrospective cohort study aimed to evaluate and validate the applicability of SOFA score in critically ill patients with COVID 19. SARS-CoV-2 was diagnosed via PCR, and full SOFA score (6 system variables) was performed on days 1, 3 and 5 of critical care admissions with estimation of standard variation RESULTS: A total of 125 with PCR confirmed SARS-CoV-2 infection admitted between March 9, 2020, to April 5, 2020 in a tertiary care center were identified and analyzed. In-hospital mortality or discharge to hospice occurred in 17% (9 and 13 patients respectively) of the population. A further analysis of 28 patients that required ICU care was performed with a subsequently mortality/discharge to hospice of 76% (18). A SOFA score was estimated at day 1, 3 and 5 with subsequent averaging among the 18 patients in which 6 ± 4, 8 ± 5, 11 ± 4 points were obtain respectively. Patients who died where older in age (70 years), had multiple comorbidities (diabetes mellitus, coronary disease). Among predictors of poor outcomes we found any increase in the SOFA score over 48 hours, and a total of 11 points at day 1. A linear correlation was suggested among SOFA and ICU mortality CONCLUSIONS: An increase on SOFA score in the first 48 hours after admission is associated with a significant ICU mortality in critically ill patients with COVID-19. These correlate with similar findings in no COVID19 patients. Thus, suggesting that SOFA score is an excellent tool to predict mortality in critically ill patients with COVID 19 CLINICAL IMPLICATIONS: As normal SOFA Score this information can be used to provide the family with prognosis, and clinical trials to improve decision making and quality of care. DISCLOSURES: No relevant relationships by Ahmed Abdallah, source=Web Response No relevant relationships by Baher AL Abbasi, source=Web Response No relevant relationships by Andres Chacon Martinez, source=Web Response no disclosure on file for Robert Chait;No relevant relationships by Kai Chen, source=Web Response no disclosure on file for Kepler De Almeida;No relevant relationships by Nakeya Dewaswala, source=Web Response no disclosure on file for Jesus Pino;No relevant relationships by Fergie Ramos Tuarez, source=Web Response No relevant relationships by Renuka Reddy, source=Web Response No relevant relationships by Pedro Torres, source=Web Response