Functional Outcome of All-Soft-Tissue Quadriceps Tendon Autograft in ACL Reconstruction in Young and Athletic Patients at a Minimum Follow-Up of 1 Year.

To investigate the functional outcome in young and athletic patients with ACL injuries, treated with an all-soft-tissue quadriceps tendon autograft at a minimum follow-up of 12 months. Methods: Patients who received a QT autograft ACL reconstruction between August 2018 and December 2020 were included in this study. Range of motion in the operated knee was described at 6 and 18 weeks after surgery and the functional outcome parameters (Lysholm score, IKDC score and Tegner activity scale) were calculated at 6 and ≥ 12 months after surgery. Results: Forty patients were included in this study, of which 29 identified as male and 11 as female. The average age was 31.3 years (range 16 to 57 years) and the mean follow-up time was 16.8 months (range 12 to 30 months). All functional outcome scores showed improvement over the course of the follow-up: Lysholm score 94.2 to 95.5 (n.s.), IKDC score 90.1 to 93.9 (n.s.), Tegner activity scale 3.7 to 5.0 (p > 0.001), all at six months and ≥12 months. No reruptures happened during the time of the follow-up. Conclusions: This study shows that the all-soft-tissue quadriceps tendon autograft technique can improve functional outcome in young and athletic patients with an ACL injury at short to intermediate follow-up.

A Model Predicting Mortality of Hospitalized Covid-19 Patients Four Days After Admission: Development, Internal and Temporal-External Validation.

Objective: To develop and validate a prognostic model for in-hospital mortality after four days based on age, fever at admission and five haematological parameters routinely measured in hospitalized Covid-19 patients during the first four days after admission. Methods: Haematological parameters measured during the first 4 days after admission were subjected to a linear mixed model to obtain patient-specific intercepts and slopes for each parameter. A prediction model was built using logistic regression with variable selection and shrinkage factor estimation supported by bootstrapping. Model development was based on 481 survivors and 97 non-survivors, hospitalized before the occurrence of mutations. Internal validation was done by 10-fold cross-validation. The model was temporally-externally validated in 299 survivors and 42 non-survivors hospitalized when the Alpha variant (B.1.1.7) was prevalent. Results: The final model included age, fever on admission as well as the slope or intercept of lactate dehydrogenase, platelet count, C-reactive protein, and creatinine. Tenfold cross validation resulted in a mean area under the receiver operating characteristic curve (AUROC) of 0.92, a mean calibration slope of 1.0023 and a Brier score of 0.076. At temporal-external validation, application of the previously developed model showed an AUROC of 0.88, a calibration slope of 0.95 and a Brier score of 0.073. Regarding the relative importance of the variables, the (apparent) variation in mortality explained by the six variables deduced from the haematological parameters measured during the first four days is higher (explained variation 0.295) than that of age (0.210). Conclusions: The presented model requires only variables routinely acquired in hospitals, which allows immediate and wide-spread use as a decision support for earlier discharge of low-risk patients to reduce the burden on the health care system. Clinical Trial Registration: Austrian Coronavirus Adaptive Clinical Trial (ACOVACT); ClinicalTrials.gov, identifier NCT04351724.