Delirium in older adults is associated with development of new dementia: a systematic review and meta-analysis.

OBJECTIVES: Observational studies have examined the association between delirium and development of new dementia. However, no recent review has collectively assessed the available evidence quantitatively and qualitatively. We systematically reviewed and critically evaluated the literature regarding the association between delirium and dementia, and calculated the odds of developing new dementia after having delirium. METHODS: This systematic review and meta-analysis was conducted according to Preferred reporting items for systematic reviews and meta-analyses guidelines. MEDLINE, EMBASE and PsycINFO, were searched for English-language articles that compared the incidence of new dementia in older adult (≥65) inpatients with delirium, to inpatients without delirium. A random effects model was used for meta-analysis, and overall effect size was calculated using reported raw data of event counts. The Newcastle-Ottawa Quality Assessment scale assessed risk of bias. RESULTS: Six observational studies met eligibility criteria, with follow-up times ranging from six months to five years. Four looked at hip fracture surgical patients; one was on cardiac surgery patients and one examined geriatric medical patients. All studies excluded patients with pre-existing dementia. Pooled meta-analysis revealed that older adult inpatients who developed delirium had almost twelve times the odds of subsequently developing new dementia compared to non-delirious patients (OR = 11.9 [95% CI: 7.29-19.6]; p < 0.001). CONCLUSIONS: Older adult inpatients who develop delirium are at significant risk of subsequently developing dementia. This emphasises the importance of delirium prevention and cognitive monitoring post-delirium. The included studies mainly examined post-surgical patients-further research on medical and intensive care unit cohorts is warranted. Future studies should assess whether delirium duration, severity and subtype influence the risk of developing dementia.

A call to action for delirium research: Meta-analysis and regression of delirium associated mortality.

BACKGROUND: Delirium is an extremely common hospital complication. No study to date has assessed whether a priori defined covariates; type of hospital setting and year of study publication, influence the relationship between delirium and mortality. This is also the first study to examine the longitudinal trend of delirium-associated mortality over recent decades, to analyse the trajectory of our efforts in combating this disease. METHODS: MEDLINE, EMBASE and PsycINFO, were searched from January 1981 to May 2018 for English-language primary articles. Rigorous title and abstract screen and full-text screen were conducted independently by two reviewers. This paper adhered to MOOSE guidelines. Data was extracted independently by one reviewer using standardised data-collection sheets, with a separate reviewer verifying for accuracy. The quality of included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Unadjusted effect sizes and event counts were analysed with a random effects model in primary meta-analysis and meta-regression, whereas a mixed effect model was used in secondary sub-group analysis. Mortality data at longest follow-up and cumulative mortality (hospital mortality combined with mortality at longest follow-up) data were analysed. RESULTS: As part of a larger project, 446 of 6790 articles were retrieved, including 71 studies that measured mortality. Our results demonstrate that elderly inpatients with delirium had significantly greater odds of mortality (OR 3.18 [95%CI: 2.73, 3.70]) compared to non-delirious controls. Patients with delirium in the ICU had the highest odds for mortality (OR: 7.09 [95%CI: 3.60, 14.0]); double the risk compared to the average. Curiously, despite advancements in delirium research, delirium associated in-hospital odds of mortality has not changed in 30 years. CONCLUSION: This is the largest meta-analysis to confirm the association between delirium and mortality, in older (age ≥ 65) hospital inpatients. The current meta-analysis highlights the significant odds of mortality after an episode of delirium, and these odds are much higher for ICU patients. However, in contrast to other medical conditions that have seen a decrease in associated mortality over the past few decades, delirium associated mortality remains unchanged. These findings underscore the urgent need for better delirium treatments. PROSPERO Registration Number: CRD42018098627, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=98627.

Systemic and tumor-directed therapy for oligometastatic prostate cancer: study protocol for a phase II trial for veterans with de novo oligometastatic disease.

BACKGROUND: The treatment paradigm for metastatic hormone-sensitive prostate cancer (mHSPC) patients is evolving. PET/CT now offers improved sensitivity and accuracy in staging. Recent randomized trial data supports escalated hormone therapy, local primary tumor therapy, and metastasis-directed therapy. The impact of combining such therapies into a multimodal approach is unknown. This Phase II single-arm clinical trial sponsored and funded by Veterans Affairs combines local, metastasis-directed, and systemic therapies to durably render patients free of detectable disease off active therapy. METHODS: Patients with newly-diagnosed M1a/b prostate cancer (PSMA PET/CT staging is permitted) and 1-5 radiographically visible metastases (excluding pelvic lymph nodes) are undergoing local treatment with radical prostatectomy, limited duration systemic therapy for a total of six months (leuprolide, abiraterone acetate with prednisone, and apalutamide), metastasis-directed stereotactic body radiotherapy (SBRT), and post-operative fractionated radiotherapy if pT ≥ 3a, N1, or positive margins are present. The primary endpoint is the percent of patients achieving a serum PSA of < 0.05 ng/mL six months after recovery of serum testosterone ≥150 ng/dL. Secondary endpoints include time to biochemical progression, time to radiographic progression, time to initiation of alternative antineoplastic therapy, prostate cancer specific survival, health related quality-of-life, safety and tolerability. DISCUSSION: To our knowledge, this is the first trial that tests a comprehensive systemic and tumor directed therapeutic strategy for patients with newly diagnosed oligometastatic prostate cancer. This trial, and others like it, represent the critical first step towards curative intent therapy for a patient population where palliation has been the norm. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT03298087 (registration date: September 29, 2017).

Position, Orientation and Velocity Detection of Unmanned Underwater Vehicles (UUVs) Using an Optical Detector Array.

This paper presents a proof-of-concept optical detector array sensor system to be used in Unmanned Underwater Vehicle (UUV) navigation. The performance of the developed optical detector array was evaluated for its capability to estimate the position, orientation and forward velocity of UUVs with respect to a light source fixed in underwater. The evaluations were conducted through Monte Carlo simulations and empirical tests under a variety of motion configurations. Monte Carlo simulations also evaluated the system total propagated uncertainty (TPU) by taking into account variations in the water column turbidity, temperature and hardware noise that may degrade the system performance. Empirical tests were conducted to estimate UUV position and velocity during its navigation to a light beacon. Monte Carlo simulation and empirical results support the use of the detector array system for optics based position feedback for UUV positioning applications.

Measurement properties of all versions of the Stroke Specific Quality of Life Scale (SS-QOL) 2.0: a systematic review protocol.

OBJECTIVE: The aim of this review is to critically appraise and summarize the quality of the measurement properties of all versions of the Stroke Specific Quality of Life Scale (SS-QOL) version 2.0. INTRODUCTION: The Stroke Specific Quality of Life Scale version 2.0 was developed as a comprehensive measure in assessing the quality of life of stroke survivors. The shortened version and cross-culturally translated versions are further developed in different countries. A systematic review will clarify the levels of reliability and validity of all versions. INCLUSION CRITERIA: The population of interest for this review will include adult stroke survivors of either sex diagnosed with a stroke (ischemic or hemorrhagic) who have no other comorbidities affecting their quality of life. The SS-QOL version 2.0 will be the specific instrument of interest, and the quality of life of stroke survivors will be the construct of interest in this review. The measures of reliability, validity, and responsiveness will be assessed as outcomes. Only the studies evaluating the reliability, validity, and responsiveness of all versions of the SS-QOL 2.0 will be included in the review. METHODS: A literature search will be conducted for published studies in MEDLINE and Embase, and unpublished data in Google Scholar and ProQuest Dissertations and Theses. After a three-step search strategy, study selection will be done by two reviewers independently. Then, the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology will be applied for assessment of methodological quality, data extraction, and synthesis. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020211727.

Postoperative handover among nurses in an orthopedic surgical setting in Myanmar: a best practice implementation project.

OBJECTIVES: The aim of this project was to improve the postoperative handover practice within the local context of an orthopedic surgical setting by implementing best practice. INTRODUCTION: Clinical handover is a communicative process where the responsibility of patient care is transferred through the exchange of patient information between the care providers. Postoperative handover is an important phase of perioperative care that presents challenges to handover personnel due to transitions in care throughout the perioperative period and the inability of surgical patients to participate in their own care. This paper reports on the best practice implementation project conducted in the field of postoperative handover among nurses in a 500-bed orthopedic surgical setting in Myanmar in 2017. METHODS: The project used the JBI Practical Application of Clinical Evidence System and the Getting Research into Practice audit tool to conduct a baseline audit and two follow-up audits. A total of 120 postoperative handovers were observed and data were collected. Education sessions and a series of discussion and engagement efforts were employed to increase the compliance with evidence-based postoperative handover practice. RESULTS: Baseline audit showed low compliance in audit criteria 3, 5 and 6, whereas varying compliance was observed in criteria 1, 2 and 4. Improvement was seen with five criteria in follow-up audits except for criterion 1. Compliance with criterion 1 was inconclusive because staff attendance at postoperative handovers varied, depending on patients' different handover needs. Nurses attendance, however, improved through engagement efforts and education sessions. CONCLUSION: We were able to make significant improvements in the underperforming areas related to postoperative patient handover. This project confirms that an SBAR (Situation, Background, Assessment, Recommendation) checklist has been implemented to navigate and document every postoperative handover at the main operating theater; the handover process at the intensive care unit complies with the COLD (Connect, Observe, Listen, Delegate) process; and attendance of handovers by nurses has increased. It is recommended that regular audits be conducted to sustain the change and improve where required.

Learning Curve of Robotic Lobectomy for Early-Stage Non-Small Cell Lung Cancer by a Thoracic Surgeon Adept in Open Lobectomy.

OBJECTIVE: The aim of the study was to characterize the clinical outcomes and learning curve during the adoption of a robotic platform for lobectomy for early-stage non-small cell lung cancer by a thoracic surgeon experienced in open thoracotomy. METHODS: Retrospective review of 157 consecutive patients (57 open thoracotomies, 100 robotic lobectomies) treated with lobectomy for clinical stage I or II non-small cell lung cancer between 2007 and 2014. Clinical outcomes were compared between the open thoracotomy group and five consecutive groups of 20 robotic lobectomies. We used the following six metrics to evaluate learning curve: operative time, conversion to open, estimated blood loss, hospitalization duration, overall morbidity, and pathologic nodal upstaging. RESULTS: The robotic and open thoracotomy groups had equivalent preoperative characteristics, except for a higher proportion of clinical stage IA patients in the robotic cohort. The robotic group, as a whole, had lower intraoperative blood loss, less overall morbidity, shorter chest tube duration, and shorter length of hospital stay as compared with the open thoracotomy group. Operative time demonstrated a bimodal learning curve. Conversion rate diminished from 22.5% in the first two robotic groups to 6.7% in the latter three groups. The rate of pathologic nodal upstaging was statistically equivalent to the open thoracotomy group. CONCLUSIONS: Adoption of a robotic platform for lobectomy for early-stage non-small cell lung cancer by an experienced open thoracic surgeon is safe and feasible, with fewer complications, less blood loss, and equivalent nodal sampling rate even during the learning curve. The conversion to open rate significantly dropped after the first 40 robotic lobectomies, and operative time for robotic lobectomy approached open thoracotomy after 60 cases, after a bimodal curve.

Automated estimator parameter selection for an IBM head/disk assembly.

This paper presents the application of a discrete adaptive observer (DAO) to an IBM head/disk assembly system. Because of the difficulties in tuning, a genetic algorithm is implemented off-line to obtain optimal observer parameters for the DAO. Simulations show that the genetic algorithm is successful in choosing appropriate observer gains. Furthermore, as a result of these optimal gains, the observer state and parameter estimates converge accurately and quickly.