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BackgroundTrauma prediction scores such as Revised Trauma Score (RTS) and Trauma and Injury Severity Score (TRISS)) are used to predict mortality, but do not include comorbidities. We analyzed the American Society of Anesthesiologists physical status (ASA PS) for predicting mortality in trauma patients undergoing surgery.MethodsThis multicenter, retrospective study compared the mortality predictive ability of ASA PS, RTS, Injury Severity Score (ISS), and TRISS using a complete case analysis with mixed effects logistic regression. Associations with mortality and AROC were calculated for each measure alone and tested for differences using chi-square.ResultsOf 3,042 patients, 230 (8%) died. The AROC for mortality for TRISS was 0.938 (95%CI 0.921, 0.954), RTS 0.845 (95%CI 0.815, 0.875), and ASA PS 0.886 (95%CI 0.864, 0.908). ASA PS + TRISS did not improve mortality predictive ability (p = 0.18).ConclusionsASA PS was a good predictor of mortality in trauma patients, although combined with TRISS it did not improve predictive ability.

Unhoused burn patients (UBPs) have historically been more likely to leave against medical advice (AMA) and suffer worse health outcomes than the general population. The coronavirus disease 2019 (COVID-19) pandemic created a major strain on the health care system, resulting in worse overall health outcomes for burn patients. We sought to investigate how COVID-19 impacted treatment for UBP, specifically the rate of leaving AMA. We conducted a retrospective chart analysis of patients admitted to a regional burn center between June 2015 and January 2023. March 1, 2020 was used as a cut point to separate the cohorts into patients seen pre-COVID-19 (p-CV) and during COVID-19 (CV). Outcomes included leaving treatment AMA and readmission within 30 days. In total, 385 patients met criteria for being unhoused and were included in our analytic sample, of which 199 were in the p-CV cohort and 186 in the CV cohort. UBP were significantly more likely to leave AMA during CV compared to p-CV (22.6% vs 7.5%, P <.001). Housed burn patients did not experience an increase in discharges AMA during this time period. The COVID-19 pandemic resulted in an increase in discharges AMA among unhoused patients only. While the etiology is unclear, our findings suggest that this vulnerable patient population is receiving inadequate care post-COVID. Future research should determine the driving force behind these increases and identify early interventions to mitigate them. [ABSTRACT FROM AUTHOR]

Introduction Obstructive sleep apnea (OSA) is a treatable cause of daytime sleepiness and associated medical problems that can negatively impact soldier readiness and performance. This study examined adherence to positive airway pressure (PAP) by soldiers who were newly diagnosed with OSA and prescribed PAP therapy and participated in a Knowledge, Skills, and Attitudes (KSA) behavioral intervention class. Materials and Methods The KSA was a one-time, interactive 90-minute class attended by up to 10 patients per class. PAP adherence was examined using Medicare standard at 30-, 60-, 90-, and 180 days post class. The analytic sample comprised 379 active duty patients (93% men; mean age 40.21 ± 8.06) categorized into 3 groups: KSA (n  = 235), did not show (DNS; n  = 61), and mandatory education class (MEC; n  = 83). The MEC group comprised patients from an education class in a previous year. Results Baseline scores on the apnea hypopnea index, body mass index, sleepiness, insomnia severity, and age were non-significant among the 3 groups. At 30 days, significantly more patients in KSA (48%) and MEC (51%) were adherent than the DNS group (16%). At 60 days, the adherence rates for the KSA, DNS, and MEC were significantly different at 39%, 22%, and 27%, respectively. At 90- and 180 days, the adherence rates among the KSA, DNS, and MEC groups did not differ significantly at 34%, 17%, and 26% (90 days) and 34%, 27%, and 25% (180 days), respectively. Consistently, more patients in KSA were adherent than those in DNS and MEC, except at 30 days. Additionally, adherence rates for KSA intervention declined more gradually over the 6 month period. The mean PAP usage on nights used was 4.6 hours that computed to a 34% non-use rate based on an optimal 7-hour/night sleep time. Conclusion KSA could be a behavioral intervention that enhances PAP adherence with a booster session implemented at the 90 days mark. [ABSTRACT FROM AUTHOR]

In contrast to the classic view of static DNA double-strand breaks (DSBs) being repaired at the site of damage, we hypothesize that DSBs move and merge with each other over large distances (m). As X-ray dose increases, the probability of having DSB clusters increases as does the probability of misrepair and cell death. Experimental work characterizing the X-ray dose dependence of radiation-induced foci (RIF) in nonmalignant human mammary epithelial cells (MCF10A) is used here to validate a DSB clustering model. We then use the principles of the local effect model (LEM) to predict the yield of DSBs at the submicron level. Two mechanisms for DSB clustering, namely random coalescence of DSBs versus active movement of DSBs into repair domains are compared and tested. Simulations that best predicted both RIF dose dependence and cell survival after X-ray irradiation favored the repair domain hypothesis, suggesting the nucleus is divided into an array of regularly spaced repair domains of ~;1.55 m sides. Applying the same approach to high-linear energy transfer (LET) ion tracks, we are able to predict experimental RIF/m along tracks with an overall relative error of 12percent, for LET ranging between 30 350 keV/m and for three different ions. Finally, cell death was predicted by assuming an exponential dependence on the total number of DSBs and of all possible combinations of paired DSBs within each simulated RIF. Relative biological effectiveness (RBE) predictions for cell survival of MCF10A exposed to high-LET showed an LET dependence that matches previous experimental results for similar cell types. Overall, this work suggests that microdosimetric properties of ion tracks at the submicron level are sufficient to explain both RIF data and survival curves for any LET, similarly to the LEM assumption. Conversely, high-LET death mechanism does not have to infer linear-quadratic dose formalism as done in the LEM. In addition, the size of repair domains derived in our model are based on experimental RIF and are three times larger than the hypothetical LEM voxel used to fit survival curves. Our model is therefore an alternative to previous approaches that provides a testable biological mechanism (i.e., RIF). In addition, we propose that DSB pairing will help develop more accurate alternatives to the linear cancer risk model (LNT) currently used for regulating exposure to very low levels of ionizing radiation.

Myriapods (e.g., centipedes and millipedes) display a simple homonomous body plan relative to other arthropods. All members of the class are terrestrial, but they attained terrestriality independently of insects. Myriapoda is the only arthropod class not represented by a sequenced genome. We present an analysis of the genome of the centipede Strigamia maritima. It retains a compact genome that has undergone less gene loss and shuffling than previously sequenced arthropods, and many orthologues of genes conserved from the bilaterian ancestor that have been lost in insects. Our analysis locates many genes in conserved macro-synteny contexts, and many small-scale examples of gene clustering. We describe several examples where S. maritima shows different solutions from insects to similar problems. The insect olfactory receptor gene family is absent from S. maritima, and olfaction in air is likely effected by expansion of other receptor gene families. For some genes S. maritima has evolved paralogues to generate coding sequence diversity, where insects use alternate splicing. This is most striking for the Dscam gene, which in Drosophila generates more than 100,000 alternate splice forms, but in S. maritima is encoded by over 100 paralogues. We see an intriguing linkage between the absence of any known photosensory proteins in a blind organism and the additional absence of canonical circadian clock genes. The phylogenetic position of myriapods allows us to identify where in arthropod phylogeny several particular molecular mechanisms and traits emerged. For example, we conclude that juvenile hormone signalling evolved with the emergence of the exoskeleton in the arthropods and that RR-1 containing cuticle proteins evolved in the lineage leading to Mandibulata. We also identify when various gene expansions and losses occurred. The genome of S. maritima offers us a unique glimpse into the ancestral arthropod genome, while also displaying many adaptations to its specific life history.