Co-Management Reduces Mortality in Post-Sternotomy Mediastinitis.

Background: Post-sternotomy mediastinitis (PSM) is one of the most feared complications of cardiac surgery. The impact of a multidisciplinary management approach on this pathology is yet unknown. Patients and Methods: A multidisciplinary approach based on a co-management model (CMM) of care was initiated in January 2018 because of the incorporation of a hospitalist unit on a cardiac surgery department. An observational retrospective cohort study was designed to evaluate the impact of the CMM of care compared to the standard model (SM) of care in patients diagnosed with PSM. Our primary and secondary outcomes were survival time and treatment failure rate (two or more surgical procedures needed to solve PSM or PSM-related death), respectively. Data related to patient death date were collected from the Spanish National Death Index. A multivariable Cox regression model was created using those variables believed to be clinically relevant. Results: Ninety-one patients developed PSM from January 2010 to June 2020. Regarding the pre-operative clinical status, surgical procedure, and PSM severity, both groups had similar baseline characteristics. Patients were followed for a mean of 27.54 ± 30.5 months. A total of 60.3% of the SM group and 11.1% of the CMM group (p < 0.001) died. Treatment failure occurred in 53 patients (72.6%) in the SM group versus 7 (38.6%) in the CMM group (p = 0.007). The CMM independently reduced overall mortality (hazard ratio [HR], 0.11; 95% confidence interval [CI]. 0.01-0.83) and treatment failure rate (HR, 0.01; 95% CI, 0.001-0.183). Gram-positive bacterial infection (HR, 3.73; 95% CI, .6-8.3), and complete osteosynthesis material removal (HR, 0.47; 95% CI, 0.24-0.91) also influenced mortality in our model. Conclusions: A co-management care model reduced overall mortality in patients diagnosed with post-sternotomy mediastinitis.

Variablity of Mechanical or Tissue Valve Implantation in Patients Undergoing Surgical Aortic Valve Replacement in Spain: National Retrospective Analysis from 2007 to 2018.

BACKGROUND: There is no robust evidence regarding the types of valves implanted among patients undergoing surgical aortic valve replacement (SAVR) in Spain. METHODS: All cases of patients undergoing SAVR ± coronary artery bypass grafting from January 2007 to December 2018 in the public Spanish National Health System were included. We analyzed the trends of SAVR volume, risk profile and type of implanted valve across time and place. Using multivariable logistic regression, we identified factors associated with biological SAVR. RESULTS: In total, 62,870 episodes of SAVR in 15 Spanish territories were included. In 35,693 (56.8%), a tissue valve was implanted. The annual volume of procedures increased from 107.3/million (2007) to 128.6 (2017). In 2018, it fell to 108.5. Age increased and Charlson's comorbity index worsened throughout the study period. Tissue valve implantation increased in most regions. After adjusting for other covariates, we observed a high variability in aortic valve implantation across different regions, with differences of as much as 20-fold in the use of tissue valves. CONCLUSIONS: Between 2007 and 2018, we detected a significant increase in the use of bioprostheses in patients undergoing SAVR in Spain, and a great variability in the types of valve between the Spanish territories, which was not explained by the different risk profiles of patients.

Running pace decrease during a marathon is positively related to blood markers of muscle damage.

BACKGROUND: Completing a marathon is one of the most challenging sports activities, yet the source of running fatigue during this event is not completely understood. The aim of this investigation was to determine the cause(s) of running fatigue during a marathon in warm weather. METHODOLOGY/PRINCIPAL FINDINGS: We recruited 40 amateur runners (34 men and 6 women) for the study. Before the race, body core temperature, body mass, leg muscle power output during a countermovement jump, and blood samples were obtained. During the marathon (27 °C; 27% relative humidity) running fatigue was measured as the pace reduction from the first 5-km to the end of the race. Within 3 min after the marathon, the same pre-exercise variables were obtained. RESULTS: Marathoners reduced their running pace from 3.5 ± 0.4 m/s after 5-km to 2.9 ± 0.6 m/s at the end of the race (P<0.05), although the running fatigue experienced by the marathoners was uneven. Marathoners with greater running fatigue (> 15% pace reduction) had elevated post-race myoglobin (1318 ± 1411 v 623 ± 391 µg L(-1); P<0.05), lactate dehydrogenase (687 ± 151 v 583 ± 117 U L(-1); P<0.05), and creatine kinase (564 ± 469 v 363 ± 158 U L(-1); P = 0.07) in comparison with marathoners that preserved their running pace reasonably well throughout the race. However, they did not differ in their body mass change (-3.1 ± 1.0 v -3.0 ± 1.0%; P = 0.60) or post-race body temperature (38.7 ± 0.7 v 38.9 ± 0.9 °C; P = 0.35). CONCLUSIONS/SIGNIFICANCE: Running pace decline during a marathon was positively related with muscle breakdown blood markers. To elucidate if muscle damage during a marathon is related to mechanistic or metabolic factors requires further investigation.