Immediate skin-to-skin contact after birth ensures stable thermoregulation in very preterm infants in high-resource settings

Aim To investigate the impact of immediate skin-to-skin contact with a parent after birth on thermal regulation in very preterm infants. Methods This clinical trial was conducted in three neonatal intensive care units in Scandinavia from 2018 to 2021. Infants born between 28 + 0 and 32 + 6 weeks and days of gestation were randomised to immediate skin-to-skin contact or conventional care in an incubator during the first 6 postnatal hours. We report on a secondary outcome: serial measurements of axillary temperature. Results Ninety-one infants were randomised to skin-to-skin contact or conventional care. Mean (range) gestational ages were 31 + 2 (28 + 6, 32 + 5) and 31 + 0 (28 + 4, 32 + 6) weeks and days, mean birth weights were 1572 (702, 2352) and 1495 (555, 2440) grams, respectively. Mean (95%CI, p-value) temperatures were within the normal range in both groups, 0.2°C (−0.29, −0.14, p < 0.001) lower in the skin-to-skin contact group. The skin-to-skin contact group had a lower relative risk (95%CI, p-value) of developing events of hyperthermia, RR = 0.70 (0.50, 0.99, p = 0.04). Conclusions Very preterm infants, irrespective of clinical stability, do not develop hypothermia during immediate skin-to-skin contact after birth. Immediate skin-to-skin contact did protect against events of hyperthermia. Concerns about thermal regulation should not limit implementation of immediate skin-to-skin contact in high-resource settings.publishedVersio

Associations between Serial Intravitreal Injections and Dry Eye

Purpose To investigate the effects of serial intravitreal injections (IVIs) on the ocular surface and meibomian glands (MGs) in patients treated with anti-vascular endothelial growth factor (anti-VEGF) for neovascular age-related macular degeneration (nAMD). Design Retrospective, controlled, observational study. Participants Patients with nAMD receiving unilateral IVIs with anti-VEGF agents. The fellow eye was used as control. Methods Tear film and ocular surface examinations were performed on a single occasion at a minimum of 4 weeks after IVI. A pre-IVI asepsis protocol with povidone-iodine (PVP-I) was applied. Main Outcome Measures Upper and lower MG loss, tear meniscus height (TMH), bulbar redness (BR) score, noninvasive tear break-up time (NIBUT), tear film osmolarity (TOsm), Schirmer test, corneal staining, fluorescein tear film break-up time (TBUT), meibomian gland expressibility (ME), and meibum quality. Results Ninety patients with a mean age of 77.5 years (standard deviation [SD], 8.4; range 54–95) were included. The median number of IVIs in treated eyes was 19.5 (range, 2–132). Mean MG loss in the upper eyelid was 19.1% (SD, 11.3) in treated eyes and 25.5% (SD, 14.6) in untreated fellow eyes (P = 0.001). For the lower eyelid, median MG loss was 17.4% (interquartile range [IQR], 9.4–29.9) in treated eyes and 24.5% (IQR, 14.2–35.2) in fellow eyes (P < 0.001). Mean BR was 1.32 (SD, 0.46) in treated eyes versus 1.44 (SD, 0.45) in fellow eyes (P = 0.017). Median TMH was 0.36 mm (IQR, 0.28–0.52) in treated eyes and 0.32 mm (IQR, 0.24–0.49) in fellow eyes (P = 0.02). There were no differences between treated and fellow eyes regarding NIBUT, TOsm, Schirmer test, corneal staining, fluorescein TBUT, ME, or meibum quality. Conclusions Repeated IVIs with anti-VEGF with preoperative PVP-I application was associated with reduced MG loss, increased tear volume, and reduced signs of inflammation compared with fellow nontreated eyes in patients with nAMD. This regimen may thus have a beneficial effect on the ocular surface.publishedVersio

Virtual reality simulation training in stroke thrombectomy centers with limited patient volume—Simulator performance and patient outcome

Background Virtual reality simulation training may improve the technical skills of interventional radiologists when establishing endovascular thrombectomy at limited-volume stroke centers. The aim of this study was to investigate whether the technical thrombectomy performance of interventional radiologists improved after a defined virtual reality simulator training period. As part of the quality surveillance of clinical practice, we also assessed patient outcomes and thrombectomy quality indicators at the participating centers. Methods Interventional radiologists and radiology residents from three thrombectomy-capable stroke centers participated in a five months thrombectomy skill-training curriculum on a virtual reality simulator. The simulator automatically registered procedure time, the number of predefined steps that were correctly executed, handling errors, contrast volume, fluoroscopy time, and radiation dose exposure. The design was a before-after study. Two simulated thrombectomy cases were used as pretest and posttest cases, while seven other cases were used for training. Utilizing the Norwegian Stroke Register, we investigated clinical results in thrombectomy during the study period. Results Nineteen interventional radiologists and radiology residents participated in the study. The improvement between pretest and posttest cases was statistically significant for all outcome measures in both simulated cases, except for the contrast volume used in one case. Clinical patient outcomes in all three centers were well within the recommendations from multi-society consensus guidelines. Conclusion Performance on the virtual reality simulator improved after training. Virtual reality simulation may improve the learning curve for interventional radiologists in limited-volume thrombectomy centers. No correlation alleged, the clinical data indicates that the centers studied performed thrombectomy in accordance with guideline-recommended standards.publishedVersio

Virtual reality simulation training in stroke thrombectomy centers with limited patient volume—Simulator performance and patient outcome

publishedVersio

En simuleringsstudie: Hierarkisk PLS for multi-gruppe klassifisering

Hierarchically Ordered Taxonomic Partial Least Squares (Hot PLS) is a method for classifying data in a hierarchical structure. Since Hot PLS is a relatively new method, we want to study strengths and weaknesses of this. This was done by simulated data with known parameters by using the R package, Simrel. The simulated data was then classified by Hot PLS. Classification error was used as the measure on how good the a method is to classify the data. For finding out which effect the different simulated parameters had on the classification error an ANOVA model was made, where the classification error was the response and the simulatated parameters and methods was the treatments. The simulated data were also classifies by other classifiers PLS, LDA, QDA and KNN, so one could check if the Hot PLS did perform better than the other classifiers. First the Hot PLS was only compared with PLS. The results from these analysis show us that the Hot PLS is a good method for classifying data which has a hierarchical structure.M-BIA