The Effect of Residential Aged Care Size,Ownership Model,and Multichain Affiliation on Resident Comfort and Symptom Management at the End of Life

Context

In most resource-rich countries, a large and growing proportion of older adults with complex needs will die while in a residential aged care (RAC) facility.

Machine learning sleep duration classification in Preschoolers using waist-worn ActiGraphs

ObjectiveTo create a sleep duration classification technique for waist-worn ActiGraph accelerometers in preschool-aged children.MethodsChildren wore ActiGraph wGT3X-BT accelerometers on their right hip for 7 days (24 h/day). Ground truth nap, sleep, and wake were estimated through visual inspection of accelerometer data, guided by sleep log-sheets and previously published visual inspection heuristics. Raw accelerometer data (30Hz) were used to generate 144 features aggregated to 1-min epochs. Machine learning classification (ie, Random Forest and Hidden Markov Modeling [HMM]) predicted nap, sleep, and wake. A simplified prediction formula was also created using features (n = 10) with the highest mean decrease in Gini index during training of Random Forests, and temporally smoothed with rolling median calculations.ResultsChildren (n = 89, mean age = 4.5 years, 67% boys) contributed >600,000 min of accelerometer data. Overall classification accuracy of the Random Forest and HMM classifier was 96.2% (95%CI: 96.1, 96.2%), with a Kappa score of 0.93. Additionally, overall classification accuracy for the temporally smoothed simplified formula was 93.7% (95%CI: 93.6, 93.7%) with Kappa = 0.87. Nap prediction accuracy was 99.8% for the final machine learning model, and 86.1% for the simplified formula. For participant-level daily summaries, generally small but statistically significant differences were found between machine learning and ground truth behaviour predictions, whereas non-significant differences were found between the simplified formulas and ground truth predictions.ConclusionsPredictions for both machine learning and the simplified formula had almost perfect agreement with visual inspection ground truth measurements. Future research is needed to confirm these findings using polysomnography ground truth sleep measurements.     

Changes and significance of plasma fibrinogen gamma‐chain concentration in preeclampsia patients

ObjectiveTo investigate the plasma fibrinogen gamma‐chain concentration in preeclampsia patients and explore its value in preeclampsia prediction and auxiliary diagnosis.MethodsFollow‐up of pregnant women who regularly attended perinatal care at two hospitals in China was performed, and clinical data and plasma samples were collected at each examination until delivery. The gamma‐chain concentration was detected by Western blotting, and Quantity One Software was used for gamma‐chain grayscale value measurements.ResultsForty‐two patients with preeclampsia and 42 control patients completed the follow‐up. In the control group, the gamma‐chain concentration at 32 weeks of gestation was higher than that at 20 weeks of gestation, but the difference was not statistically significant (p > 0.05). In the experimental group, the gamma‐chain concentration at preeclampsia diagnosis was significantly higher than that at 20 weeks of gestation (p < 0.05). Compared with the control group, the gamma‐chain concentration was higher at 20 weeks of gestation in the experimental group, but the difference was not statistically significant. However, at 32 weeks of gestation and at the time of diagnosis, the gamma‐chain concentration in the experimental group was significantly higher than that in the control group (p < 0.05). At 32 weeks of gestation and at the time of diagnosis, the AUCs from ROC curve analysis of plasma fibrinogen gamma‐chain concentrations were 0.64 and 0.71, respectively.ConclusionPlasma fibrinogen synthesis and degradation were disrupted in preeclampsia patients before and after diagnosis, and gamma‐chain concentration was significantly increased. Plasma fibrinogen gamma chain may be of some value in preeclampsia prediction and auxiliary diagnosis.     

Lack of effectiveness of 13-valent pneumococcal conjugate vaccination against pneumococcal carriage density in Papua New Guinean infants

BackgroundPapua New Guinea (PNG) introduced the 13-valent pneumococcal conjugate vaccine (PCV13) in 2014, with administration at 1, 2, and 3 months of age. PCV13 has reduced or eliminated carriage of vaccine types in populations with low pneumococcal carriage prevalence, carriage density and serotype diversity. This study investigated PCV13 impact on serotype-specific pneumococcal carriage prevalence, density, and serotype diversity in PNG infants, who have some of the highest reported rates of pneumococcal carriage and disease in the world.MethodsNasopharyngeal swabs were collected at 1, 4 and 9 months of age from PCV13-vaccinated infants (n = 57) and age-/season-matched, unvaccinated infants (at approximately 1 month, n = 53; 4 months, n = 57; 9 months, n = 52). Serotype-specific pneumococcal carriage density and antimicrobial resistance genes were identified by qPCR and microarray.ResultsPneumococci were present in 89% of swabs, with 60 different serotypes and four non-encapsulated variants detected. Multiple serotype carriage was common (47% of swabs). Vaccine type carriage prevalence was similar between PCV13-vaccinated and unvaccinated infants at 4 and 9 months of age. The prevalence of non-vaccine type carriage was also similar between cohorts, with non-vaccine types present in three-quarters of samples (from both vaccinated and unvaccinated infants) by 4 months of age. The median pneumococcal carriage density was high and similar at each age group (~7.0 log₁₀ genome equivalents/mL). PCV13 had no effect on overall pneumococcal carriage density, vaccine type density, non-vaccine type density, or the prevalence of antimicrobial resistance genes.ConclusionPNG infants experience dense and diverse pneumococcal colonisation with concurrent serotypes from 1 month of age. PCV13 had no impact on pneumococcal carriage density, even for vaccine serotypes. The low prevalence of vaccine serotypes, high pneumococcal carriage density and abundance of non-vaccine serotypes likely contribute to the lack of PCV13 impact on carriage in PNG infants. Indirect effects of the infant PCV programs are likely to be limited in PNG. Alternative vaccines with broader coverage should be considered.     

High serum neurofilament levels among Chinese patients with aquaporin-4-IgG-seropositive neuromyelitis optica spectrum disorders

BackgroundSerum neurofilament light chain (sNfL) is a promising biomarker for neuromyelitis optica spectrum disorders (NMOSD) and multiple sclerosis (MS), but there is limited validation data in specific ethnic and disease groups.ObjectiveTo investigate the levels of sNfL in a cohort of Chinese patients with NMOSD and compare sNfL levels in patients with different disease courses and treatments.MethodsWe analysed sNfL levels in 153 Chinese patients with NMOSD (n = 51) and MS (n = 102) using single-molecule array (Simoa) technology. The sNfL levels were compared with those of 71 healthy controls from two centres in southern China. For each disease, we assessed correlations between sNfL and disease phases and treatments.ResultsHigher levels of sNfL were found in the patients with NMOSD [17.97 (10.55–27.94) pg/mL] and MS [15.83 (8.92–25.67) pg/mL] compared to healthy controls [10.09 (7.19–13.29) pg/mL, p < 0.001]. No significant differences were found between the AQP4-IgG-positive NMOSD group and OCB-positive MS group.ConclusionssNfL measured by Simoa technology is a potential candidate blood biomarker for the diagnosis and disease monitoring of NMOSD in Chinese patients, warranting further prospective and multicentre studies.     

Rapid identification of nonblood sterile site broth cultures using the FilmArray blood culture identification panel

The FilmArray Blood Culture Identification Panel was validated for nonblood sterile site specimens with clinical impact of rapid identification compared to conventional diagnostics. The panel accurately identified target organisms from 98% of positive broth cultures a median 1.1?day faster than conventional techniques (P?<?0.0001) with potential clinical impact in 22% of cases.