Dynamic Perviousness: A Novel Imaging Marker for Predicting Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke.

BACKGROUND: The predictive value of thrombus standard perviousness (SP) in acute ischemic stroke (AIS) for the technical success rates of mechanical thrombectomy (MT) or functional outcomes is not yet conclusive. We investigated the relationship between dynamic perviousness (DP) and revascularization results using time-dependent enhancement curve types determined with computed tomography (CT). METHODS: A retrospective analysis of 137 AIS patients was performed. DP was calculated as the thrombus attenuation increase (TAI) using three time points and categorized into four groups: (1) no enhancement (CNE); (2) late enhancement (CLE); (3) early enhancement with washout (CW); (4) early enhancement without washout (CNW). Associations with the technical success rate and functional outcomes were assessed. RESULTS: Late enhancement (CLE) had approximately two times higher odds for successful MT as compared to clots with other enhancement dynamics. The odds ratios (logistic regression model with CNW as the reference) for the TICI III scores were 4.04 (p = 0.067), 1.82 (p = 0.3), and 1.69 (p = 0.4) for CLE, CW, and CNE, respectively. The NIHSS scores at discharge and mRS scores at three months showed regression coefficients (linear regression model with CNW as reference) of -3.05 (p = 0.10), -1.17 (p = 0.51), and -1.24 (p = 0.47); and -1.30 (p = 0.097), -0.85 (p = 0.25), and -0.15 (p = 0.83) for CLE, CW, and CNE, respectively. CONCLUSIONS: Thrombi with late enhancement patterns showed a higher revascularization rate and better outcomes as compared to clots with early uptake or no washout.

Surgical treatment of nasal fractures may benefit from intraoperative 3D imaging.

This retrospective study aimed to assess the effects of the use of intraoperative three-dimensional (3D) imaging on outcomes in surgical treatment of nasal fractures. Furthermore, we investigated whether the use of intraoperative imaging improves outcomes and decreases the frequency of corrective surgeries compared to published literature. This retrospective descriptive study included patients who underwent operative treatment for nasal fractures with the use of intraoperative 3D imaging between January 2015 and January 2020 at a University Hospital. The primary outcome measure was patient satisfaction, which was assessed through patient charts about subjective esthetic problems and nasal obstruction. The secondary outcome measures were the number of intraoperative images and necessity of intra- and postoperative revisions. All the outcomes were evaluated using regression analysis. Of the 172 patients, secondary rhinoplasty and intraoperative revision were performed in 10 (6 %) and 93 (54 %) patients, respectively. Postoperatively, 19 (11 %) and 12 (7 %) patients complained of subjective esthetic problems and nasal obstruction, respectively. The intraoperative revision rate in patients undergoing surgical treatment of nasal fractures with intraoperative 3D imaging was >50 %. However, the incidence of postoperative secondary revision, nasal obstruction, and subjective esthetic problems was lower than that reported in the literature not having an intraoperative imaging. Our findings suggest that prompt quality control of the operative result enables immediate correction and prevents postoperative revision.

Impact of the matching algorithm on the treatment effect estimate: A neutral comparison study.

Propensity score matching is increasingly being used in the medical literature. Choice of matching algorithms, reporting quality, and estimands are oftentimes not discussed. We evaluated the impact of propensity score matching algorithms, based on a recent clinical dataset, with three commonly used outcomes. The resulting estimands for different strengths of treatment effects were compared in a neutral comparison study and based on a thoroughly designed simulation study. Different algorithms yielded different levels of balance after matching. Along with full matching and genetic matching with replacement, good balance was achieved with nearest neighbor matching with caliper but thereby more than one fifth of the treated units were discarded. Average marginal treatment effect estimates were least biased with genetic or nearest neighbor matching, both with replacement and full matching. Double adjustment yielded conditional treatment effects that were closer to the true values, throughout. The choice of the matching algorithm had an impact on covariate balance after matching as well as treatment effect estimates. In comparison, genetic matching with replacement yielded better covariate balance than all other matching algorithms. A literature review in the British Medical Journal including its subjournals revealed frequent use of propensity score matching; however, the use of different matching algorithms before treatment effect estimation was only reported in one out of 21 studies. Propensity score matching is a methodology for causal treatment effect estimation from observational data; however, the methodological difficulties and low reporting quality in applied medical research need to be addressed.