The aim of this study was to summarize current evidence regarding lenacapavir, a first in class HIV-1 capsid inhibitor, and its role as an emergent therapy for the treatment of HIV-1 infection.
HIV-1 ...capsid inhibitors (of which lenacapavir is the first in class) has been postulated to have activity against multidrug resistant HIV-1 viral isolates. Initial results from the phase 3 trial CAPELLA (combining oral and subcutaneous lenacapavir alongside failing drug therapies) suggest that there may be a role for these novel agents in a cohort of patients living with HIV-1 infection (PLWH) for whom multidrug resistance has previously been a barrier to effective therapy. Despite emergent lenacapavir resistance mutations detected in some study participants, virological suppression was still potentially attainable, offering some hope to PLWH with limited antiviral regimens available. Initial results from the CALIBRATE trial show promise for the role of lenacapavir-containing regimens in a treatment-naive cohort as well.
Lenacapavir may prove to be an adjunctive agent in the management of PLWH with significant HIV-1 drug resistance.
Purpose
After cataract phacoemulsification surgery, spherical equivalent refraction (SER) may be affected by factors including corneal curvature, effective lens position and axial length. While ...refractive outcomes have been assessed in the immediate post-operative period, longer-term changes in refraction have not been reported. The purpose of this study was to investigate the timeline changes in refraction after cataract surgery over a period of 3 years.
Methods
This was a retrospective observational study that included 344 eyes of 204 patients who underwent cataract emulsification surgery between 1 January and 31 December 2018 at two private hospitals. Keratometry, anterior chamber depth (ACD), central corneal thickness (CCT) and axial length were measured at baseline and post-operatively at 1 month, 1 year, 2 years and 3 years. Changes in SER and ocular parameters were assessed at each post-operative timepoint.
Results
Between 1 month and 3 years post-operatively, an overall myopic shift (0.32 ± 0.21 D,
p
< 0.001) occurred in 33.6% of eyes and a hypermetropic shift in 45.2% of eyes (0.35 ± 0.22 D,
p
< 0.001). In 21.2% of eyes, there was no reported change in SER between 1 month and 3 years. Significant changes in ACD (
p
= 0.04) and CCT (
p
< 0.001) occurred during the first year after surgery.
Conclusion
The 3-year timeline changes in SER after cataract surgery were evaluated. As hypermetropic shift was the most common refractive change observed, it may be beneficial to aim for a more myopic post-operative refraction target. Patients should be advised of the potential for refractive changes after surgery.
Purpose
To evaluate factors that may influence the direction and extent of long-term refractive error after cataract surgery.
Methods
This was a retrospective observational study conducted across two ...private practices in Sydney, NSW, Australia. The study population consisted of patients who underwent cataract phacoemulsification surgery between January 1 and December 31, 2018. Patients who received cataract surgery combined with another procedure were excluded. Demographic and biometric data including anterior chamber depth (ACD), keratometry, central corneal thickness, axial length (AL) and lens thickness were obtained pre-operatively. Spherical equivalent (SEQ) refraction was measured at 2 months and 3 years after surgery and compared with target refraction. Factors associated with refractive error were analyzed.
Results
This study included 221 eyes of 122 patients. A refractive error within 1.00 D was achieved in 217 eyes (98.2%) at 3 years post-operatively. Mean prediction error decreased significantly between 2 months and 3 years after surgery irrespective of whether eyes were more myopic (
p
< 0.001) or more hypermetropic than predicted (
p
< .0001). Pre-operative ACD and ACD-to-AL ratio were significantly associated with SEQ prediction error.
Conclusion
After cataract surgery, refractive outcomes may be influenced by ACD and ACD-to-AL ratio. The pre-operative assessment of these risk factors may better inform IOL selection in individual patients. Prospective studies in a larger cohort are required.
Mentorship is considered to play a paramount role in empowering nursing students to recieve superlative benefit from clinical placement. Although the new standards for student supervision and ...assessment approved by the Nursing and Midwifery Council in 2018 seemed to lead to the disillusionment of mentorship, they support clinical education and devotion to nursing students' clinical learning globally. The aim of this synthesis was to review and explore the experiences of mentorship of preregistration nursing students and nurses. A systematic search of databases was performed for qualitative studies published in English from 2000 to 2018. Eleven qualitative studies were selected, from which three analytical themes emerged: mentors' capabilities and readiness for preregistration nursing student mentorship, humanistic approach as foundation to the effectiveness of preregistration nursing student mentorship, and the collaboration of stakeholders in health care and educational settings to enhance preregistration nursing student mentorship. A thematic framework of mentorship in preregistration nursing education was introduced. The thematic synthesis sheds light on how to improve a formal system of mentorship and clinical supervision for nursing education.
Background
Glaucoma is a leading cause of blindness worldwide for which trabeculectomy is the most effective surgical intervention for advanced disease. However, trabeculectomy has been associated ...with alterations to corneal endothelium, including a decrease in corneal endothelial cell density (CECD). The purpose of this study was to investigate changes in CECD after trabeculectomy, and identify factors contributing to cell loss, such as pre-operative biometry and lens status.
Methods
This retrospective study included 72 eyes of 60 patients who underwent trabeculectomy between January 2018 and June 2021 at two private hospitals. Demographic and clinical data were obtained at baseline. Corneal specular microscopy was performed pre-operatively and at 6 months after surgery. CECD was evaluated and compared between groups to quantify changes to corneal endothelium and identify significant factors affecting decreases in cell density.
Results
Mean CECD was 2284.66 ± 375.59 pre-operatively and 2129.52 ± 401.96 after 6 months (p < 0.001). A greater decrease in CECD (p = 0.005) was observed in phakic eyes (235.45 ± 118.32) compared to pseudophakic eyes (137.82 ± 107.30). The amount of cell loss was negatively correlated with pre-operative central corneal thickness (p = 0.009) and anterior chamber (AC) depth (p = 0.033). There were no significant correlations between changes to CECD and patient age, gender, number of pre-operative glaucoma medications and number of post-operative antifibrotic agents.
Conclusions
Significant decreases in CECD occurred after trabeculectomy. Less corneal endothelial cell loss occurred in pseudophakic eyes. Hence, if patients need trabeculectomy and cataract surgery, it may be better to perform cataract surgery first. Longer term studies should derive more information.
The purpose of this study was to evaluate the changes in corneal endothelial cell density (CECD) occurring after cataract phacoemulsification surgery and identify factors associated with cell loss.
...This was a retrospective study involving patients who underwent cataract phacoemulsification surgery between January 1, 2018, and December 31, 2018, at two private hospitals. Demographic data and biometric parameters were obtained preoperatively. Ultrasound metrics were recorded for each operation, including total on time (TOT), total equivalent power in position 3, and cumulative dissipated energy (CDE). Using corneal specular microscopy, CECD was measured preoperatively and postoperatively at 12, 24, and 36 months. Factors associated with decreased CECD were identified.
This study included 223 eyes of 133 patients. The mean CECD was 2530.03 ± 285.42 cells/mm
preoperatively and significantly decreased to 2364.22 ± 386.98 cells/mm
at 12 months (
< 0.001), 2292.32 ± 319.72 cells/mm
at 24 months (
< 0.001), and 2242.85 ± 363.65 cells/mm
at 36 months (
< 0.001). The amount of cell loss was associated with age, gender, preoperative CECD, preoperative anterior chamber depth, lens thickness, TOT, and CDE. Using multivariate analysis, age, preoperative CECD, and TOT were identified as independent predictors for CECD loss 12 months after surgery.
The greatest decrease in CECD occurred during the first year after cataract surgery, and the amount of cell loss was influenced by both baseline patient characteristics and ultrasound metrics. Longer-term prospective studies in a larger cohort may yield more information.
Background
Free-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel ...mobile messaging apps. These text data are rich resources for clinical purposes, but their sheer volume render them difficult to manage. Even automated approaches, such as natural language processing, require labor-intensive manual classification for developing training data sets. Automated approaches to organizing free-text data are necessary to facilitate use of free-text communication for clinical care.
Objective
The aim of this study was to apply unsupervised learning approaches to (1) understand the types of topics discussed and (2) learn medication-related intents from messages sent between patients and providers through a bidirectional text messaging system for managing participant blood pressure (BP).
Methods
This study was a secondary analysis of deidentified messages from a remote, mobile, text-based employee hypertension management program at an academic institution. We trained a latent Dirichlet allocation (LDA) model for each message type (ie, inbound patient messages and outbound provider messages) and identified the distribution of major topics and significant topics (probability >.20) across message types. Next, we annotated all medication-related messages with a single medication intent. Then, we trained a second medication-specific LDA (medLDA) model to assess how well the unsupervised method could identify more fine-grained medication intents. We encoded each medication message with n-grams (n=1-3 words) using spaCy, clinical named entities using Stanza, and medication categories using MedEx; we then applied chi-square feature selection to learn the most informative features associated with each medication intent.
Results
In total, 253 participants and 5 providers engaged in the program, generating 12,131 total messages: 46.90% (n=5689) patient messages and 53.10% (n=6442) provider messages. Most patient messages corresponded to BP reporting, BP encouragement, and appointment scheduling; most provider messages corresponded to BP reporting, medication adherence, and confirmatory statements. Most patient and provider messages contained 1 topic and few contained more than 3 topics identified using LDA. In total, 534 medication messages were annotated with a single medication intent. Of these, 282 (52.8%) were patient medication messages: most referred to the medication request intent (n=134, 47.5%). Most of the 252 (47.2%) provider medication messages referred to the medication question intent (n=173, 68.7%). Although the medLDA model could identify a majority intent within each topic, it could not distinguish medication intents with low prevalence within patient or provider messages. Richer feature engineering identified informative lexical-semantic patterns associated with each medication intent class.
Conclusions
LDA can be an effective method for generating subgroups of messages with similar term usage and facilitating the review of topics to inform annotations. However, few training cases and shared vocabulary between intents precludes the use of LDA for fully automated, deep, medication intent classification.
International Registered Report Identifier (IRRID)
RR2-10.1101/2021.12.23.21268061
High-fidelity patient simulation (HFPS) is widely used in professional training to enhance students' competence in clinical management. A guideline for HFPS provides a systematic approach to direct ...students to learning during the simulation process. Problem-solving (PS) and clinical reasoning (CR) skills are essential to developing students' professional competence in safe and effective care. These two skills should be initiated in the early training. A structured guideline was developed for HFPS. This study aimed to investigate the effects of the structured HFPS guideline on the development of PS and CR skills in junior nursing students. The students were required to go through four sessions, pre-briefing, simulation design, facilitation, and debriefing, for the HFPS; the study utilized the Problem-Solving Inventory (PSI) and the Nurses' Clinical Reasoning Scale (NCRS) to measure PS and CR abilities before and after HFPS. Bivariate analysis, a one-sample
-test, and an independent
-test were performed to evaluate the performance of the PS and CR skills during the two study periods. A total of 189 students were recruited, with 92 in the intervention group and 97 in the control group. The research assistant was responsible for student recruitment through email invitations and allocating the students into the control group or the intervention group. A Wilcoxon analysis was performed and revealed significant differences in PS and CR between the two groups (
< 0.001). The analytic results showed that the PSI, particularly in domains of Problem-Solving Confidence (PSC) (
< 0.001) and overall PS (
< 0.001), and the CR (
< 0.001) had significant improvement after HFPS, particularly in the intervention group. The study concluded that the structured HFPS guideline significantly improved the students' problem-solving and clinical reasoning abilities. Nurse educators play an important role in providing explicit learning instructions in a simulation guideline that directs and guides students to learn at each stage of HFPS. The students can be directed to be engaged in their learning through HFPS to enhance their competence in knowledge and skill development (PS and CR) for their personal and professional development.
