Stryhnkjeldgaard3203

ndful state of participants as well as improve factors that are associated with burnout and distractions.

Partial nephrectomy (PN) is the preferred modality of treatment for small renal masses. Laparoscopic partial nephrectomy (LPN) has been adopted worldwide and a fundamental role is played by surgical skills. The need for skill instruction outside the operating room is well recognized in the modern models of surgery residency training. selleck chemicals We aim to investigate the impact of residents' laparoscopic surgical skills training on the successful implementation of LPN in a reference public teaching hospital in southern Brazil.

We accessed all patients undergoing LPN by senior's urology residents at Hospital de Clínicas de Porto Alegre. Patients were stratified in 2 periods of time named 'LPN eras' 1 and 2, to report the training impact on the outcome. LPN era 1 was from October 2012 to February 2017 and LPN era 2 from March 2017 to June 2019. All the senior residents of LPN era 2 followed a simulation training divided into 4 years with a total training time of 244 hours before performing the LPN. Residents from LPN era 1 did not have simulation training.

124 patients underwent LPN during the study period, 53 (42.7%) of those were performed in LPN era 1 and 71 (57.3%) in LPN era 2. Baseline characteristics of the patients in the two groups were similar. The training performed by LPN era 2 residents was able to significantly reduce estimated blood loss, ischemia time and LOS with p value respectively 0.007, 0.001 and 0.001. LPN era 2 group also reached Trifecta in 77.5% of patients, being significantly more than in the LPN era 1 (p = 0.007).

Simulation in residents surgical training was able to improve clinical outcomes in LPN. These data reinforce the fundamental importance of adequate residents training before performing surgery on a patient.

Simulation in residents surgical training was able to improve clinical outcomes in LPN. These data reinforce the fundamental importance of adequate residents training before performing surgery on a patient.

Anti-Müllerian hormone (AMH) is the most established biomarker for estimating ovarian reserve. No reliable marker of oocyte quality, however, is available. Is there an association between the rates of aneuploidy and the different ranges of serum AMH levels?

Retrospective, single-centre study of 1718 patients undergoing intracytoplasmic sperm injection and preimplantation genetic testing with aneuploidy at the blastocyst stage between January 2015 and December 2019. Patients were stratified into six different categories of AMH (ng/ml) according to percentile distribution.

Although a higher number of biopsied embryos were found for higher AMH levels (P = 0.017), a lower rate of biopsied blastocysts per metaphase II (P = 0.019) and per fertilized oocyte (0.023) was observed in this group of high AMH. A higher number of euploid embryos was found for higher AMH values (P = 0.031); however, the rate of aneuploid embryos per metaphase II or per fertilized oocyte was not significantly different across the six groups. No differences were observed in the implantation, pregnancy and ongoing pregnancy rate, or in the miscarriage and biochemical loss rate. Regression analysis did not show any significant correlation between AMH and aneuploid embryos.

In this large series of patients, AMH was not related to embryo aneuploidy.

In this large series of patients, AMH was not related to embryo aneuploidy.

Full-length 16S rRNA gene sequencing using nanopore technology is a fast alternative to conventional short-read 16S rRNA gene sequencing with low initial investment costs that has been used for various microbiome studies but has not yet been investigated as an alternative approach for endometrial microbiome analysis. Is in-situ 16S rRNA gene long-read sequencing using portable nanopore sequencing technology feasible and reliable for endometrial microbiome analysis?

A prospective experimental study based on 33 patients seeking infertility treatment between January and October 2019. A 16S rRNA gene long-read nanopore sequencing protocol for analysing endometrial microbiome samples was established, including negative controls for contamination evaluation and positive controls for bias evaluation. Contamination caused by kit and exterior sources was identified and excluded from the analysis. Endometrial samples from 33 infertile patients were sequenced using the optimized long-read nanopore sequencing protocol and compared with conventional short-read sequencing carried out by external laboratories.

Of the 33 endometrial patient samples, 23 successfully amplified (69.7%) and their microbiome was assessed using nanopore sequencing. Of those 23 samples, 14 (60.9%) were Lactobacillus-dominated (>80% of reads mapping to Lactobacillus), with 10 samples resulting in more than 90% Lactobacillus reads. Our long-read nanopore sequencing revealed results similar to two conventional short-read sequencing approaches and to long-read sequencing validation carried out in external laboratories.

In this pilot study, 16S rRNA gene long-read nanopore sequencing was established to analyse the endometrial microbiome in situ that could be widely applied owing to its cost efficiency and portable character.

In this pilot study, 16S rRNA gene long-read nanopore sequencing was established to analyse the endometrial microbiome in situ that could be widely applied owing to its cost efficiency and portable character.

This systematic review aims to understand the dose estimation approaches and their major challenges. Specifically, we focused on state-of-the-art Monte Carlo (MC) methods in fluoroscopy-guided interventional procedures.

All relevant studies were identified through keyword searches in electronic databases from inception until September 2020. The searched publications were reviewed, categorised and analysed based on their respective methodology.

Hundred and one publications were identified which utilised existing MC-based applications/programs or customised MC simulations. Two outstanding challenges were identified that contribute to uncertainties in the virtual simulation reconstruction. The first challenge involves the use of anatomical models to represent individuals. Currently, phantom libraries best balance the needs of clinical practicality with those of specificity. However, mismatches of anatomical variations including body size and organ shape can create significant discrepancies in dose estimations.