Are Medicare's Nursing Home Compare Ratings Accurate Predictors of 90-Day Complications,Readmission, and Bundle Cost for Patients Undergoing Primary Total Joint Arthroplasty?

Background

Nursing Home Compare (NHC) ratings, created and maintained by Medicare, are used by both hospitals and consumers to aid in the skilled nursing facility (SNF) selection process. To date, no studies have linked NHC ratings to actual episode-based outcomes. The purpose of this study was to evaluate whether NHC ratings are valid predictors of 90-day complications, readmission, and bundle costs for patients discharged to an SNF after primary total joint arthroplasty (TJA).

Hair hormones in male youth with internet gaming disorder

Objectives: Internet gaming disorder (IGD) is associated with altered physiological reactivity to psychosocial stress. Findings from a previous study on alterations of basal hypothalamic–pituitary–adrenal (HPA) axis functioning, indexed by differences in hair hormone levels (i.e., cortisol) in IGD patients compared to matched controls, were limited by a small sample size.

Methods: Following the protocol of the previous study, male patients with IGD (n?=?31) and controls (n?=?31) matched for age, educational status and smoking were recruited. Sociodemographic and clinical characteristics were assessed using structured interviews and self-reports. Hair samples were taken for the analysis of cortisol, cortisone, testosterone, progesterone, dehydroepiandrosterone (DHEA), and corticosterone.

Results: Groups showed no significant differences on cortisol (d?=??0.10, 95%CI (?0.60; 0.40)), cortisone (d?=??0.10, 95%CI (?0.60; 0.40)), testosterone (d?=??0.00, 95%CI (?0.51; 0.51)), progesterone (d?=??0.46, 95%CI (?0.96; 0.05)), DHEA (d?=??0.04, 95%CI (?0.54; 0.47)) or corticosterone (d?=??0.19, 95%CI (?0.69; 0.32)). Associations between hair hormone concentrations, symptom severity and sociodemographic variables were weak and did not survive correction for multiple testing.

Conclusions: Unlike other psychiatric disorders, effects of IGD and associated psychopathology on basal HPA axis functioning, indexed by hair hormone levels, are negligible. Future studies need to rule out potential effects of sex, age and long-term pathology on these findings.     

Association of Long-Term Air Pollution with Prevalence and Incidence of Distal Sensorimotor Polyneuropathy: KORA F4/FF4 Study

Background: Air pollution contributes to type 2 diabetes and cardiovascular diseases, but its relevance for other complications of diabetes, in particular distal sensorimotor polyneuropathy (DSPN), is unclear. Recent studies have indicated that DSPN is also increasingly prevalent in obesity.Objectives: We aimed to assess associations of air pollutants with prevalent and incident DSPN in a population-based study of older individuals with high rates of type 2 diabetes and obesity.Methods: Cross-sectional analyses on prevalent DSPN were based on 1,075 individuals 62–81 years of age from the German Cooperative Health Research in the Region of Augsburg (KORA) F4 survey (2006–2008). Analyses on incident DSPN included 424 individuals without DSPN at baseline (KORA F4), of whom 188 had developed DSPN by the KORA FF4 survey (2013–2014). Associations of annual average air pollutant concentrations at participants’ residences with prevalent and incident DSPN were estimated using Poisson regression models with a robust error variance adjusting for multiple confounders.Results: Higher particle number concentrations (PNCs) were associated with higher prevalence [risk ratio (RR) per interquartile range (IQR) increase=1.10 (95% CI: 1.01, 1.20)] and incidence [1.11 (95% CI: 0.99, 1.24)] of DSPN. In subgroup analyses, particulate (PNC, PM10, PMcoarse, PM2.5, and PM2.5abs) and gaseous (NOx, NO2) pollutants were positively associated with prevalent DSPN in obese participants, whereas corresponding estimates for nonobese participants were close to the null [e.g., for an IQR increase in PNC, RR=1.17 (95% CI: 1.05, 1.31) vs. 1.06 (95% CI: 0.95, 1.19); pinteraction=0.22]. With the exception of PM2.5abs, corresponding associations with incident DSPN were positive in obese participants but null or inverse for nonobese participants, with pinteraction≤0.13 [e.g., for PNC, RR=1.28 (95% CI: 1.08, 1.51) vs. 1.03 (95% CI: 0.90, 1.18); pinteraction=0.03].Discussion: Both particulate and gaseous air pollutants were positively associated with prevalent and incident DSPN in obese individuals. Obesity and air pollution may have synergistic effects on the development of DSPN. https://doi.org/10.1289/EHP7311     

Impact of oral carbohydrate consumption prior to cesarean delivery on preoperative well-being: a randomized interventional study

Archives of Gynecology and Obstetrics - Oral carbohydrate consumption before surgery improves insulin sensitivity, cardiac output and well-being, and shortens hospital stays without adverse...     

Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks

Electroencephalogram (EEG) microstates that represent quasi‐stable, global neuronal activity are considered as the building blocks of brain dynamics. Therefore, the analysis of microstate sequences is a promising approach to understand fast brain dynamics that underlie various mental processes. Recent studies suggest that EEG microstate sequences are non‐Markovian and nonstationary, highlighting the importance of the sequential flow of information between different brain states. These findings inspired us to model these sequences using Recurrent Neural Networks (RNNs) consisting of long‐short‐term‐memory (LSTM) units to capture the complex temporal dependencies. Using an LSTM‐based auto encoder framework and different encoding schemes, we modeled the microstate sequences at multiple time scales (200–2,000 ms) aiming to capture stably recurring microstate patterns within and across subjects. We show that RNNs can learn underlying microstate patterns with high accuracy and that the microstate trajectories are subject invariant at shorter time scales (≤400 ms) and reproducible across sessions. Significant drop in the reconstruction accuracy was observed for longer sequence lengths of 2,000 ms. These findings indirectly corroborate earlier studies which indicated that EEG microstate sequences exhibit long‐range dependencies with finite memory content. Furthermore, we find that the latent representations learned by the RNNs are sensitive to external stimulation such as stress while the conventional univariate microstate measures (e.g., occurrence, mean duration, etc.) fail to capture such changes in brain dynamics. While RNNs cannot be configured to identify the specific discriminating patterns, they have the potential for learning the underlying temporal dynamics and are sensitive to sequence aberrations characterized by changes in metal processes. Empowered with the macroscopic understanding of the temporal dynamics that extends beyond short‐term interactions, RNNs offer a reliable alternative for exploring system level brain dynamics using EEG microstate sequences.     

Moral injury from war and other severe trauma

Moral injury (MI) is a relatively new syndrome among military personnel with symptoms of post‐traumatic stress disorder (PTSD). While MI has received considerable attention in the psychological sciences, the syndrome has received relatively little notice within psychiatry. MI has been defined as the negative emotions that emerge from transgressing moral boundaries by military personnel during combat such as killing enemy combatants or innocent civilians, failing to protect innocents or fellow combatants, or observing others transgress moral boundaries. MI may also be frequent among civilians and health professionals, although, as in military personnel, is often unrecognized.